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Zeitschriftenartikel zum Thema "Sports performance optimization"
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SIMION, Alexandru, und Gabriel MANGRA. „STRATEGIC OPTIMIZATION OF THE MANAGEMENT OF SPORTS ORGANIZATIONS“. Management & Marketing 21, Nr. 1 (30.04.2023): 151–61. http://dx.doi.org/10.52846/mnmk.21.1.09.
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The ways in which sport organizations monitor their operations and evaluate their performance involves careful analysis with a focus on the special characteristics of sport organizations and how these characteristics create the need for sport-specific performance management models. The purpose of the research is the development of models for the analysis of the management of sports organizations, in order to identify the factors of influence and ways to improve their efficiency and effectiveness, respectively to increase the performance of sports organizations. The importance of using performance management models is highlighted, not only by the need to respond to the conflicting requirements of several interested parties, but also by the need to manage risk. We have found a systematic treatment of performance management to be an essential tool for identifying strengths and weaknesses and discovering ways in which overall organizational performance can be improved. Thus, a performance management model is crucial for the long-term success of sports organizations.
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Pérez-Castilla, Alejandro, und Felipe García-Pinillos. „Sports Biomechanics Applied to Performance Optimization“. Applied Sciences 14, Nr. 9 (24.04.2024): 3590. http://dx.doi.org/10.3390/app14093590.
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Morriën, Floor, Matthew J. D. Taylor und Florentina J. Hettinga. „Biomechanics in Paralympics: Implications for Performance“. International Journal of Sports Physiology and Performance 12, Nr. 5 (Mai 2017): 578–89. http://dx.doi.org/10.1123/ijspp.2016-0199.
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Purpose:To provide an overview of biomechanical studies in Paralympic research and their relevance for performance in Paralympic sports.Methods:The search terms paralympic biomechanics, paralympic sport performance, paralympic athlete performance, and paralympic athlete were entered into the electronic database PubMed.Results:Thirty-four studies were found. Biomechanical studies in Paralympics mainly contributed to performance enhancement by technical optimization (n = 32) and/or injury prevention (n = 6). In addition, biomechanics was found to be important in understanding activity limitation caused by various impairments, which is relevant for evidence-based classification in Paralympic sports (n = 6). Distinctions were made between biomechanical studies in sitting (41%), standing (38%), and swimming athletes (21%). In sitting athletes, mostly kinematics and kinetics in wheelchair propulsion were studied, mainly in athletes with spinal-cord injuries. In addition, kinetics and/or kinematics in wheelchair basketball, seated discus throwing, stationary shot-putting, hand-cycling, sit-skiing, and ice sledge hockey received attention. In standing sports, primarily kinematics of athletes with amputations performing jump sports and running and the optimization of prosthetic devices were investigated. No studies were reported on other standing sports. In swimming, mainly kick rate and resistance training were studied.Conclusions:Biomechanical research is important for performance by gaining insight into technical optimization, injury prevention, and evidence-based classification in Paralympic sports. In future studies it is advised to also include physiological and biomechanical measures, allowing the assessment of the capability of the human body, as well as the resulting movement.
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Donohue, Brad, Yulia Gavrilova, Marina Galante, Elena Gavrilova, Travis Loughran, Jesse Scott, Graig Chow, Christopher P. Plant und Daniel N. Allen. „Controlled Evaluation of an Optimization Approach to Mental Health and Sport Performance“. Journal of Clinical Sport Psychology 12, Nr. 2 (01.06.2018): 234–67. http://dx.doi.org/10.1123/jcsp.2017-0054.
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Athletes experience unique stressors that have been indicated to compromise their mental wellness and sport performance, yet they underutilize mental health services. Indeed, very few mental health interventions for athletes have been developed to fit sport culture, and well-controlled mental health outcome research in athlete populations is warranted. In this randomized controlled trial, a sport specific optimization approach to concurrent mental health and sport performance (The Optimum Performance Program in Sports; TOPPS) was examined. Seventy-four collegiate athletes (NCAA = 42; club = 11; intramural = 21) formally assessed for mental health diagnostic severity were randomly assigned to TOPPS or campus counseling/psychological services as usual (SAU) after baseline. Dependent measures assessed general mental health, mood, mental health factors affecting sport performance in training, competition and life outside of sports, days using substances, sexual risk behaviors, happiness in relationships, relationships affecting sport performance, and contributions of relationship to sport performance. Intent to treat repeated measures analyses indicated that participants in TOPPS consistently demonstrated better outcomes than SAU up to 8-months post-randomization and for mental health/substance use measures, particularly when diagnostic criteria were most severe. Recommendations are provided in light of the results to assist sport-specific mental health intervention development and implementation within athlete populations.
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Tan, Xuefeng, Chenggen Guo, Pu Sun und Shaojie Zhang. „Performance Optimization Method of Community Sports Facilities Configuration Based on Linear Planning Model“. Complexity 2022 (29.03.2022): 1–7. http://dx.doi.org/10.1155/2022/4489802.
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The conventional community sports facility allocation methods have high minimum costs, and a new community sports facility allocation performance optimization method is designed based on a linear programming model in order to reduce the performance capital investment. The standardized community sports facility allocation performance objective function is established, and a pairwise model is built to divide the feasible and optimal solutions, and the feasible solutions and their constraints are found out. Establish a community sports facility configuration performance optimization model, delineate the boundaries of the optimal solution by bifurcation, and set the feasible domain of the performance optimization model. The performance optimization algorithm is designed to improve the speed of community sports facility allocation performance optimization. In the experiment, the method is compared with data-driven method, digital management method, and evolutionary game algorithm, which requires less capital investment in spring, autumn, and winter than digital management method and evolutionary game algorithm, and the minimum capital investment in summer is less than the other three methods. From the above experimental data, it is clear that the performance optimization method has the smallest minimum capital investment and achieves the purpose of reducing the input cost.
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Deuster, Patricia A., und Francis G. OʼConnor. „Human Performance Optimization“. Journal of Strength and Conditioning Research 29 (November 2015): S52—S56. http://dx.doi.org/10.1519/jsc.0000000000001118.
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Podgorelec, Vili, Špela Pečnik und Grega Vrbančič. „Classification of Similar Sports Images Using Convolutional Neural Network with Hyper-Parameter Optimization“. Applied Sciences 10, Nr. 23 (27.11.2020): 8494. http://dx.doi.org/10.3390/app10238494.
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With the exponential growth of the presence of sport in the media, the need for effective classification of sports images has become crucial. The traditional approaches require carefully hand-crafted features, which make them impractical for massive-scale data and less accurate in distinguishing images that are very similar in appearance. As the deep learning methods can automatically extract deep representation of training data and have achieved impressive performance in image classification, our goal was to apply them to automatic classification of very similar sports disciplines. For this purpose, we developed a CNN-TL-DE method for image classification using the fine-tuning of transfer learning for training a convolutional neural network model with the use of hyper-parameter optimization based on differential evolution. Through the automatic optimization of neural network topology and essential training parameters, we significantly improved the classification performance evaluated on a dataset composed from images of four similar sports—American football, rugby, soccer, and field hockey. The analysis of interpretable representation of the trained model additionally revealed interesting insights into how our model perceives images which contributed to a greater confidence in the model prediction. The performed experiments showed our proposed method to be a very competitive image classification method for distinguishing very similar sports and sport situations.
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Chen, Si, und Gang Zhao. „High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities“. Mobile Information Systems 2021 (09.04.2021): 1–7. http://dx.doi.org/10.1155/2021/9958703.
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Smart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in the quality of life, people tend to obtain better watching experience in terms of sports events. For such purpose, this paper proposes the live streaming transmission optimization method based on high-performance server, called HPTO, including two main modules, that is, high-performance server optimization and transmission optimization. Specifically, for the server optimization, this paper devises a distributed storage strategy to avoid producing the internal disk fragments and improve the writing efficiency of sports videos. For the transmission optimization, this paper devises a deep-learning-based video compression strategy to save the storage space of server and accelerate the transmission of sports videos. In addition, this paper makes simulation experiments based on PyCharm. The experimental results show that HPTO has higher storage efficiency, smaller transmission time, and lower packet loss rate than benchmarks, which indicates that the proposed two aspects of optimization strategies (server optimization and transmission optimization) are efficient.
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Hood, Simon, Thomas McBain, Matt Portas und Iain Spears. „Measurement in Sports Biomechanics“. Measurement and Control 45, Nr. 6 (Juli 2012): 182–86. http://dx.doi.org/10.1177/002029401204500604.
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One of the major roles of a sports biomechanist or coach is to assess the movement patterns within sports performances. Movements can be analysed to enhance an individual's technique in terms of efficiency or to provide technical advantage. This paper aims to highlight the different measurement techniques available for the biomechanist to assess the movement characteristics of the technical and mechanical aspects of athletic performance.
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Sun, Wei Min, Bin Gao und Wei Shou Zhang. „Long Jump Technique Based on the Method of Mechanical Analysis“. Advanced Materials Research 507 (April 2012): 208–11. http://dx.doi.org/10.4028/www.scientific.net/amr.507.208.
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It is the development characteristics of modern sports to use of modern science and technology such as computers and others. In a variety of sports science, the application of science and technology in modern sport based on the mechanical analysis play an important role in order to improve athletic performance and motor skills, as well as the optimization of sports equipment. Therefore, The analysis on mechanical optimal motion can provide the athletes the best sports attitude and sports skills, thereby improving athletes scientific training result.To provide scientific theoretical basis and promote the development of sports, this paper focused on the scientific mechanics analysis on long jump technique.
Dissertationen zum Thema "Sports performance optimization"
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Sedeaud, Adrien. „Caractéristiques anthropométriques et performances de haut niveau : évolutions, indicateurs et optimisations“. Thesis, Paris 5, 2013. http://www.theses.fr/2013PA05L003.
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L’objectif de cette thèse est d’étudier les évolutions morphologiques des sportifs de haut niveau et d’identifier les liens structurant performance et caractéristiques anthropométriques. Les différentes études constituant cette thèse analysent la performance de haut niveau par son versant morphologique et selon différents niveaux de démonstration. Dans un premier temps, nous montrons des évolutions différenciées entre SHN et individus de la population générale (études 1 et 2), présupposant que les SHN tirent des avantages de leurs caractéristiques anthropométriques. Puis, nous mettons en évidence les liens directs entre les caractéristiques anthropométriques et la performance en athlétisme et dans le rugby (études 2 et 5) : les équipes de rugby disposant d’avants plus lourds et d’arrières plus grands sont plus performantes que les autres. En athlétisme, les coefficients allométriques calculés montrent l’impact du poids selon la distance de course et le sexe suggérant une possible marge de progression des caractéristiques anthropométriques pour les athlètes féminines. Le 3ème niveau de démonstration met en exergue l’existence de couples [morphologies optimales - performances optimales+, d’attracteurs biométriques bénéfiques au scoring en basketball (étude 3), et d’optima d’IMC avec leurs intervalles de performance selon la distance de course (études 4, 5 et 6). Poids, taille et IMC sont des indicateurs pertinents puisqu’ils permettent de spécifier les paramètres des athlètes entre les différentes épreuves (gradients morphologiques en athlétisme suivant le spectre des distances, à l’instar des gradients énergétiques) mais également selon leur niveau (gradient de poids et taille inverses entre courses de fond et sprints). Ces trois indicateurs morphologiques dévoilent également des différenciations selon les spécificités de poste. Mises en comparaison, les évolutions de poids et de taille montrent des croissances asynchrones révélatrices d’atypicité. L’IMC, très loin de sa fonction première de mesure de la corpulence et de l’obésité, doit être redéfini comme un indicateur utile de la performance de haut niveau. En effet, il révèle le compromis entre puissance, capacité énergétique et organisation de la structure corporelle efficiente chez les SHN. Dans l’exécution sportive, l’ensemble du corps est en action, et poids, taille et IMC prennent en compte la globalité de l’athlète qui se meut. Certains constats émanant des conclusions de cette thèse font surgir de nouvelles réflexions dans la compréhension de la performance et vont générer la mise en place de protocoles expérimentaux. Les gabarits sont l’expression de la performance autant que l’organisation à partir de laquelle se réalise cette dernière. Les résultats de cette thèse, fondés sur l’analyse de bases de données conséquentes, apportent une nouvelle vision sur les optimisations morphologiques. Dans le dessein de performance, il est nécessaire de connaître les optimisations établies chez les meilleurs mondiaux afin de situer les athlètes dans leurs champs morphologiques mais aussi de leur permettre d’évoluer vers la meilleure adaptation anthropométrique, spécifique de leur activitéThe purpose of this thesis is to study the morphological changes of top athletes and identify structural links between performance and anthropometric characteristics. This thesis is comprised of various studies that analyze the highest level of performance by morphological aspect and different levels of proof. At first, we show differentiated changes between high level athletes and individuals in the general population (Studies 1 and 2), presupposing that athletes draw benefits from their anthropometric characteristics. Then we highlight the direct links between anthropometric characteristics and performance in track and field athletes and rugby players (studies 2 and 5): rugby teams with heavier forwards and taller backs are more successful than others. In track and field, calculated allometric coefficients show the impact of mass depending on the distance of the race and sex, suggesting a possible anthropometric progression margin for female athletes. The third level of supporting evidence, highlights the existence of couples [optimal morphologies - optimal performance], biometric attractors beneficial in scoring in basketball (Study 3), and BMI optimum with performance intervals in race distance (studies 4, 5 and 6). Mass, height and BMI are relevant indicators used to specify athletes between different events (morphological gradients in track and field following the spectrum of distances, like energy gradients) but also according to their level (inverse gradient between mass and height according to middle and long distances and sprints). These three indicators also reveal morphological differentiation depending on the specific position. Being compared, changes in mass and height show asynchronous growth indicative of atypicity. Independent from BMI’s primary function of measuring the body size and obesity, it should be refined as a useful indicator of high level performance. Indeed, it reveals trade-off between power, energy capacity and organization of efficient body structure for high level athletes. In athletic performance, the whole body is in action, and mass, height and BMI take into account the entire athlete who moves. Some conclusions from the findings of this thesis arise new thoughts in the performance understanding and will generate the development of experimental protocols. Physiques are the expression of the performance as well as the organization from which it is realized. The results of this thesis, based on the analysis of consistent databases, provide a new vision on morphological optimizations. For the purpose of performance, it is necessary to know the optimizations established in order to situate athletes in their morphological fields, but also enable them to move towards better anthropometric adaptation specific of their activities
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Chiloiro, Giuseppe Marco. „Virtual coach for super sports cars: a possible AI application“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
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The dream of the human being has always been to reach the perfection.
This is true for life in general, but also for sports competitions including motorsport.
In car racing, the optimum is represented by the perfect lap, performed by the driver in the minimum possible time, following the ideal race line with the appropriate velocity.
However, due to the intrinsic nature of human being this is unfeasible and the only way to get as close as possible to the perfection is to rely on technology and artificial intelligence.
Focusing on motorsport, the actual knowledge of vehicle dynamics and the development of optimization techniques can help in reaching great improvements in terms of race performance.
This is exactly the objective of this thesis in which the implementation of a virtual coach for super sports cars has been carried out, in order to provide useful suggestions to the driver during and after the performance.
In particular, the algorithm on which the virtual coach is based, computes the ideal race line and the optimal velocity in every point, giving also an accurate estimation of the best reachable lap time.
The virtual coach is able to adapt to each super sports car and circuit, since the vehicle and racetrack models are generated starting from the physical parameters introduced by the user as inputs to the algorithm.
The optimization of the race line is performed by solving the minimum lap time problem through the optimal control theory and the optimal velocity is computed for each point of the ideal trajectory.
After the first lap, the algorithm associates the driver to a category level and shows which are the sectors of the circuit where a higher improvement is possible, adapting the targets in terms of lap time and velocity to the driver’s capabilities and allowing a step by step improving of the performances.
The algorithm has been tested on a large variety of vehicles and circuits, providing accurate results in terms of ideal race lines and velocities.
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Ben, Jeddou Roukaya. „Football Selection Optimization through the Integration of Management Theories, AI and Multi-criteria Decision Making“. Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCG009.
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Le travail de recherche décrit dans cette thèse s'inscrit dans le contexte de la gestion d'un club de football professionnel, où l'établissement d'un équilibre humain et financier est essentiel pour assurer la pérennité des organisations sportives. Dans le management du football, les méthodes traditionnelles de sélection des joueurs ont historiquement guidé le processus de prise de décision au niveau des clubs. Ce processus de décision stratégique, souvent subjectif et incertain, peut avoir un impact significatif sur les performances financières, économiques et sportives de l’équipe.Alors que le football évolue vers un sport plus axé sur les données, il est de plus en plus reconnu que les méthodes traditionnelles doivent être complétées par des méthodes scientifiques basées sur l'intelligence artificielle et le recours aux méthodes de prise de décision multi-critères pour optimiser la sélection des joueurs et améliorer les performances tant sportives que financières. Il devient essentiel de rechercher un équilibre optimal entre le rendement sportif et la performance financière afin d'optimiser les résultats d'une entité spécifique: le club de football.À cet égard, l'objectif principal de cette thèse est de proposer un modèle qui combine les techniques de machine learning et les méthodes d’analyse multicritères pour améliorer l'efficacité et l'objectivité du processus de sélection des joueurs de football, tout en tenant compte des considérations financières et managériales. Notre première contribution est de prioriser les critères techniques, physiques, tactiques et comportementaux des joueurs en utilisant les algorithmes Random Forest, Entropy et CRITIC. La seconde contribution est de classer les joueurs selon leurs performances en se basant sur la méthode TOPSIS.Afin de valider ces contributions, nous avons créé un système d'aide à la décision permettant au décideur sportif de suggérer des joueurs en fonction de leurs performances. Notre modèle ne vise pas à remplacer les entraîneurs, mais plutôt à intégrer des évaluations subjectives et objectives pour permettre une compréhension approfondie des facteurs de performance sportive et managériale, améliorant ainsi la précision de la sélection des joueurs. Alors que le football s'oriente vers des approches plus axées sur les données, la combinaison de l'IA et du MCDM peut optimiser davantage les processus de sélection des joueurs, en tirant parti des avantages de l'analyse de données objective et de l'expertise subjective.Les résultats obtenus démontrent l'efficacité de notre approche dans l'amélioration des performances des équipes de football, particulièrement lorsqu'elle est soutenue et assistée par l'intelligence émotionnelle, à savoir la capacité du manager à détecter l'état substantiel du joueurThe research outlined in this thesis falls within the context of professional football club management, where establishing a balance between human and financial aspects is essential for long-term viability of sports organizations. In football management, the traditional methods of player selection have historically guided decision-making processes within clubs. This strategic decision-making process, which is often subjective and uncertain, can have a significant impact on the club's financial, economic and sporting situation.As football is increasingly becoming a data-driven sport, there is a growing recognition that traditional approaches need to be complemented by scientific methods based on artificial intelligenceomenclature{AI}{Artificial Intelligence} and multi-criteria decision makingomenclature{MCDM}{Multi-Criteria Decision Making} approaches to optimize player selection and improve both sporting and financial performance. It is becoming increasingly important to find an optimal balance between sporting success and financial performance to optimize the results of a specific entity: the football club.In this respect, the main purpose of this thesis is to propose a model that combines machine learning techniques with multi-criteria analysis methods to improve the efficiency and objectivity of the football player selection process, while taking into account financial and managerial considerations. Our first contribution is to prioritize the physical, technical, tactical, and behavioral criteria of players using Random Forest, Entropy, and CRITIComenclature{CRITIC}{CRiteria Importance Through Intercriteria Correlation}algorithms. The second contribution is to rank players based on their performance using the TOPSIS method.To validate these contributions, we designed a decision support system that assists the sports decision maker by proposing players in order of performance. Our model does not aim to replace coaches but rather to integrate subjective and objective evaluations to provide a thorough understanding of the factors influencing sporting and managerial performance, thereby improving the accuracy of player selection. As football moves towards more data-oriented approaches, the combination of AI and MCDM can further optimize player selection processes by leveraging the benefits of objective data analysis and subjective expertise.The results obtained show the effectiveness of our approach in improving the performance of football teams, especially when supported and promoted by emotional intelligence, which refers to the manager's ability to recognize the substantial state of the players
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Gulbinskienė, Vaida. „Šaulių individualaus rengimo optimizavimas“. Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070226_143910-59837.
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The training of athletes is a multi-design process, where the physical, spiritual and intellectual powers of sports personalities and those seeking for sports results interact closely. The narrow and single-sided aspects of training process were mostly studied by the scientists, and revealed the contradictory results, which let manage the change of training to athletes only partially. With reference to the theory of athlete’s training and performance metamodel, using the diagnostic researches and a multi-design one alternative experiment were determined the training models of high performance shooters with training volume and intensity variation, interaction between training and sport performance. The created optimal models of high performance shooters’ can be optimal for junior age shooters as well. The educational mean of the dissertation consist of active shooters participation in the training, perfection of the sport performance, and education of the personality, training the self-education. The determined specific indices of the shooters’ training and the sport performance are defined by: 1) the reverse tough interaction of the inappropriate posture of the Lithuanian shooters (body mass center pathway pose with a gun and eyes open) and sports results (r = -0,95); 2) psychical fitness which is determined by not enough experience of international competitions (p < 0,001); 3) the determined 5 individual training and performance models of Lithuanian high performance shooters... [to full text]
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Carlsson, Tomas. „The importance of body-mass exponent optimization for evaluation of performance capability in cross-country skiing“. Doctoral thesis, Högskolan Dalarna, Idrotts- och hälsovetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-102872.
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Introduction Performance in cross-country skiing is influenced by the skier’s ability to continuously produce propelling forces and force magnitude in relation to the net external forces. A surrogate indicator of the “power supply” in cross-country skiing would be a physiological variable that reflects an important performance-related capability, whereas the body mass itself is an indicator of the “power demand” experienced by the skier. To adequately evaluate an elite skier’s performance capability, it is essential to establish the optimal ratio between the physiological variable and body mass. The overall aim of this doctoral thesis was to investigate the importance of body-mass exponent optimization for the evaluation of performance capability in cross-country skiing. Methods In total, 83 elite cross-country skiers (56 men and 27 women) volunteered to participate in the four studies. The physiological variables of maximal oxygen uptake (V̇O2max) and oxygen uptake corresponding to a blood-lactate concentration of 4 mmol∙l-1 (V̇O2obla) were determined while treadmill roller skiing using the diagonal-stride technique; mean oxygen uptake (V̇O2dp) and upper-body power output (Ẇ) were determined during double-poling tests using a ski-ergometer. Competitive performance data for elite male skiers were collected from two 15-km classical-technique skiing competitions and a 1.25-km sprint prologue; additionally, a 2-km double-poling roller-skiing time trial using the double-poling technique was used as an indicator of upper-body performance capability among elite male and female junior skiers. Power-function modelling was used to explain the race and time-trial speeds based on the physiological variables and body mass. Results The optimal V̇O2max-to-mass ratios to explain 15-km race speed were V̇O2max divided by body mass raised to the 0.48 and 0.53 power, and these models explained 68% and 69% of the variance in mean skiing speed, respectively; moreover, the 95% confidence intervals (CI) for the body-mass exponents did not include either 0 or 1. For the modelling of race speed in the sprint prologue, body mass failed to contribute to the models based on V̇O2max, V̇O2obla, and V̇O2dp. The upper-body power output-to-body mass ratio that optimally explained time-trial speed was Ẇ ∙ m-0.57 and the model explained 63% of the variance in speed. Conclusions The results in this thesis suggest that V̇O2max divided by the square root of body mass should be used as an indicator of performance in 15-km classical-technique races among elite male skiers rather than the absolute or simple ratio-standard scaled expression. To optimally explain an elite male skier’s performance capability in sprint prologues, power-function models based on oxygen-uptake variables expressed absolutely are recommended. Moreover, to evaluate elite junior skiers’ performance capabilities in 2-km double-poling roller-skiing time trials, it is recommended that Ẇ divided by the square root of body mass should be used rather than absolute or simple ratio-standard scaled expression of power output.Incorrect ISBN in printed thesis: 973-91-7601-270-3
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Cardoso, Bárbara França Domingues. „Sensors fusion and movement analysis for sports performance optimization“. Master's thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/108411.
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Cardoso, Bárbara França Domingues. „Sensors fusion and movement analysis for sports performance optimization“. Dissertação, 2017. https://repositorio-aberto.up.pt/handle/10216/108411.
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Saul, Sandile Sinethemba. „On the performance of recent swarm based metaheuristics for the traveling tournament problem“. Thesis, 2013. http://hdl.handle.net/10413/11289.
Der volle Inhalt der QuelleBücher zum Thema "Sports performance optimization"
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Perry, Joanne, und Brad Donohue. Athlete Mental Health and Performance Optimization: The Optimum Performance Program for Sports. Elsevier Science & Technology Books, 2023.
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Perry, Joanne, und Brad Donohue. Athlete Mental Health and Performance Optimization: The Optimum Performance Program for Sports. Elsevier Science & Technology, 2022.
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Performance Explosion In Sports An Antidoping Concept Revolutionary New Findings In The Area Of Micronutrient Therapy Training Continuity Training Optimization Injury Prevention Through Personalized Micronutrients. Meyer & Meyer Fachverlag und Buchhandel GmbH, 2011.
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Breheim, Gregory, und Bryce White. Optimization for Athletes: Performance Nutrition and Sport Nutrition. Independently Published, 2018.
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Matthews, Michael D. Head Strong. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190870478.001.0001.
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Since the publication of the first edition of Head Strong: How Psychology Is Revolutionizing War in 2014, developments in military psychology have been rapid and important—so much so that this revised edition is necessary to accurately capture the vital role that psychology continues to play in twenty-first-century military success. The ideas contained in the first edition influenced emerging doctrine in the Army’s Human Dimension and informed military leaders around the globe of ways that psychological science and practice may be leveraged to improve combat effectiveness. Many of the predictions made in the first edition have come true, and new and exciting products of military psychology now offer novel ways of impacting military outcomes. This revised edition of Head Strong updates the 13 chapters included in the first edition with breaking news in military psychology and adds new material to augment those chapters. Two entirely new chapters are included in this edition. The first focuses on human performance optimization. It captures rapid developments in psychology, cognitive neuroscience, and other disciplines that may help the military optimize soldier and unit performance. The second dives deeply into character and discusses how to measure it, how to develop it, and how character plays a vital role in the performance of individual soldiers and their units. Like the other topics in Head Strong, these two new chapters have significant applicability to nonmilitary organizations including schools, corporations, and sports teams.
Buchteile zum Thema "Sports performance optimization"
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Saha, Mantu. „Performance optimization and improvement factors in sports physiology“. In Sports Science in India, 171–84. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003477686-13.
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Lin, Chii-Dean, und Richard A. Levine. „Mega Deal? A Relative Performance Analysis for Major League Baseball Players“. In Economics, Management and Optimization in Sports, 163–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24734-0_10.
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Liu, Yuanlong. „Track and Field Performance Data and Prediction Models: Promises and Fallacies“. In Economics, Management and Optimization in Sports, 225–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24734-0_13.
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Winkler, A., und A. Pernpeintner. „Improving the Performance of a Bobsleigh by Aerodynamic Optimization (P212)“. In The Engineering of Sport 7, 329–38. Paris: Springer Paris, 2008. http://dx.doi.org/10.1007/978-2-287-09413-2_41.
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Liu, Fuyuan, Min Chen, Lizhe Wang, Zhouyi Xiang und Songhua Huang. „Lightweight and Customized Design via Conformal Parametric Lattice Driven by Stress Fields“. In Computational Design and Robotic Fabrication, 139–49. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8405-3_12.
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AbstractAdditive manufacturing has opened up new opportunities for material-based design and optimization, with lattice materials being a key area of interest. Lattice materials can exhibit superb physical properties, such as high thermal conductivity and excellent energy absorption, and be designed to meet specific design objectives. However, optimizing the use of these materials requires considering geometric constraints and loading conditions. This research explores stress-driven multi-agent system (MAS) to achieve high-performance lattice infilling. The von Mises stress and principal stress are investigated as the infilling environments as they are typical failure evaluation criteria. The feasibility of these approaches is demonstrated through a case study of sport helmet design, where MAS is used to generate conformal lattice structures that meet functional and fabrication requirements. The density distribution and arrangement direction of lattice units are effectively controlled in physical fields. The results demonstrate that both von Mises stress field and principal stress field-driven methods can improve the stiffness of helmets compared to the method that only considers geometrical conformity under the same mass. The paper concludes that stress-driven lattice infilling has the potential to revolutionize material-based design and optimization in additive manufacturing.
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Sethuramalingam, R., Abhishek Asthana, S. Xygkaki, K. Liu, J. Eduardo, S. Wilson und C. Bater. „Energy Demand Reduction in Data Centres Using Computational Fluid Dynamics“. In Springer Proceedings in Energy, 275–84. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_26.
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AbstractA data centre is a facility where it hosts the server systems, computer systems, and its associated components such as cooling units, redundancy power supplies and power storage systems. Data centres are a very energy-demanding sector. Data Centre Dynamics magazine forecasts that by 2025, Data Centres will consume more than 2% of the global electricity supply. Due to this forecast, it is become vital to reduce the energy consumption in the data centre industry. On average, data centres use 30–50% of their total energy supply on mechanical cooling to cool their IT equipment. However, many of them still have difficulties with high-temperature regions such as hot spots in the server data hall which contributes to server downtime. Along with this, the power densities of the data centres are on the rise as the telecommunication industry at exponential growth over the years. This inefficiency in the temperature distribution can be resolved through advanced computational fluid dynamics software. It also becomes essential to expand the use of CFD (computational fluid dynamics) into key sections of Data Centre design, to reduce thermal inefficiencies. It is necessary to identify the potential issues at the initial stages to deliver efficient solutions which will work at a low Power Usage Effectiveness (PUE), to future-proof data centre facilities. This paper outlines the importance of a computational fluid dynamics (CFD) analysis in the data centre design. The mock-up data centre internal and external models are analysed in 6Sigma Software. The various parameters were investigated to optimise the energy performance of the infrastructure. The results also provided the analysis of the data hall with detailed rack inlet and 3D modelling of the data hall, external simulations with chillers and generators inlet temperatures highlighting trouble areas. Additional to this, Water cooled, and Air-cooled chiller performance comparison also studied and concluded that Water cooled chiller performance well than Air cooled chiller. Having the data hall air supply temperature 27 °C than 24 °C, has improved the energy efficiency in the data centre. The model developed in this study can be used as a benchmark study for the present and future thermal optimization of data centres.
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Ingwerson, Julie. „Resilience, mindfulness and sports performance optimization“. In The Youth Athlete, 561–65. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-99992-2.00050-5.
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Panoutsakopoulos, Vassilios, und Iraklis A. Kollias. „Image-Based Recording and Analysis Methods for The Assistance of Track and Field Coaches to Improve Athletics Training“. In The Use of Developing Technology in Sports. Özgür Yayınları, 2023. http://dx.doi.org/10.58830/ozgur.pub315.c1478.
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The aim of the present scoping review was to present the image-based analysis methods that have being utilized to assist Track and Field coaches to observe the technique of their athletes aiming towards the optimization of performance. From the era of early photography till the current innovation of markerless motion analysis, sports and track and field athletes in particular are the field where the technological advances in image capturing and analysis are implemented for both practical, as well as for scientific purposes. The outcome of the blending of technology and sports science is the better understanding of human motion, the exploitation of its movement abilities, and its ideal segmentation when teaching sport techniques that has led to the optimization of sport performance and the identification of the unique prospects of human performance as presented by elite athletes. The chapter is comprised by a short description of the evolution in motion analysis methods, its contribution in the understanding sport techniques, its exploitation to create tools to effectively teach sport technique, and the presentation of the technological innovations that will assist track and field coaches in the future.
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Vyas, Shraddha, und Ravi Teja Mandapaka. „Sports Genomics and the Intersection of Genetics and Training in Sports“. In Advances in Medical Diagnosis, Treatment, and Care, 355–80. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6317-1.ch012.
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Nutrigenomics and nutrigenetics combine nutrition, genetics, and sports science to personalize sports nutrition. These fields study how an individual's genetic makeup interacts with specific foods to optimize athletic performance and overall well-being. Genetic variations in energy metabolism, muscle growth, and recovery inform personalized nutrition plans. Through genetic testing, markers linked to nutrient metabolism and performance attributes create comprehensive nutritional profiles for customized dietary approaches. As authors of this manuscript, we are confident that this research contributes to the growing body of literature in sports genomics, providing insights into the genetic basis of athletic performance and paving the way for personalized approaches to sports training and performance optimization. The future of sports nutrition lies in its ability to adapt to the unique genetic makeup of each athlete, providing a tailored roadmap to achieving their highest potential.
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Barua, Ranjit. „Unleashing Human Potential“. In Advances in Educational Technologies and Instructional Design, 409–36. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3952-7.ch015.
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The chapter aims to discuss the pivotal role of biomechanics in optimizing athletic capabilities. It seeks to explore how an understanding of human movement mechanics can be leveraged to enhance sports performance across various disciplines. Through biomechanical analysis and application, this proposal intends to uncover insights into technique refinement, injury prevention, and performance optimization strategies. By delving into the intricacies of biomechanics, this chapter aims to provide coaches, athletes, and sports scientists with valuable insights to unlock the full potential of human performance in sports.
Konferenzberichte zum Thema "Sports performance optimization"
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Chuang, Kong, Ren Shuaitao, Wang Hongwei und Zhou Hua. „Research on the Construction and Performance Optimization of a Deep Learning-Driven Price Prediction Model for E-Sports Hotels“. In 2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 526–31. IEEE, 2024. http://dx.doi.org/10.1109/icsece61636.2024.10729533.
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Nishikawa, Yuri, Hitoshi Sato und Jun Ozawa. „Performance evaluation of multiple sports player tracking system based on graph optimization“. In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258259.
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Mocanu, Mircea. „Optimization Of The Retopspin Performance Biomechanics In Female Juniors In Table Tennis“. In ICPESK 2018 - International Congress of Physical Education, Sports and Kinetotherapy. Education and Sports Science in the 21st Century, Edition dedicated to the 95th anniversary of UNEFS. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.02.48.
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Vellandi, Vikraman, Suresh Kumar Somarajan, Jaganathan Nagarajan, Arunkumar VIJAYAN, Rohan karbade und Muthuraman Ramanathan. „Optimization of Clutch Characteristics to Improve the Launch Performance of a Sports-Utility Vehicle“. In International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-28-0481.
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<div class="section abstract"><div class="htmlview paragraph">Vehicles with manual transmission are still the most preferred choice in emerging markets like India due to their benefits in cost, simplicity and fuel economy. However, the ever-increasing vehicle population and traffic congestion demand a smooth clutch operation and a comfortable launch behaviour of any manual transmission vehicle. In the present work, the launch performance of a sports-utility vehicle (SUV) equipped with dual mass flywheel (DMF) and self-adjusting technology (SAT) clutch could be improved significantly by optimizing the clutch system.</div><div class="htmlview paragraph">The vehicle was observed to be having a mild judder during clutch release (with 0% accelerator pedal input) in a normal 1<sup>st</sup> gear launch in flat road conditions. An extensive experimental measurement at the vehicle level could reveal the launch judder is mainly due to the 1st order excitation forces created by the geometrical inaccuracy of the internal parts of the clutch system. Moreover, the forces are amplified by the resonance of the complete driveline with the first eigen mode at 8 to 12 Hz. A detailed study in the 1-dimensional torsional simulation model revealed that the eigen mode frequency of the real-wheel drive architecture is mainly driven by several parameters (mass, inertia, torsional stiffness) of the driveline components. Hence, the 1st order excitation forces were needed to be controlled to improve the launch performance. Based on the detailed design of experiments (DOE), it was evident that the cushion disc stiffness and clutch disc parallelism are the significant contributors to the excitation forces. The launch performance of the vehicle could be significantly improved by reducing the cushion disc stiffness at lower axial load (300 N) and by controlling the clutch disc parallelism within a tight tolerance range. The effect of these modifications on different launch conditions is also explained in detail in the present work. The paper gives a holistic view of improving the launch performance of any vehicle without compromising any other parameter.</div></div>
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Mustafa, Mohammed M., Ahmed A. Khalifa und Korhan Cengiz. „A Symmetric TDMA Mechanism to Optimize the Performance of the Body Sensor Network for Sports Application“. In 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2023. http://dx.doi.org/10.1109/hora58378.2023.10156665.
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Tzankova-Kaloyanova, Maria. „SPORTS PREPAREDNESS AMONG FEMALE BASKETBALL PLAYERS UNDER 12 YEARS OF AGE“. In INTERNATIONAL SCIENTIFIC CONGRESS “APPLIED SPORTS SCIENCES”. Scientific Publishing House NSA Press, 2022. http://dx.doi.org/10.37393/icass2022/36.
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ABSTRACT High and stable sports results can be achieved only through well-developed and structured sports preparation. The status of the sports preparedness among adolescent female basketball players is a very accurate and objective indicator, with which we can assess the efficiency of the conducted educational and training process in basketball. The purpose of the current study is optimization of the preparation and training process for women basketball players up to 12 years old from the NSA basketball team. Based on the analysis of the players’ physical development, their specific working capacity and the technical preparedness, their training programs can be updated for their future training activities. The study has been conducted in two stages – at the end of the preparation period, and during the second part of the competition period. Testing on 14 performance indicators has been carried out, which give information about the basic parameters of the sports preparedness of the tested basketball players. In order to reach the set objectives and tasks of the current study, the following research methods have been applied: research and analysis of specialized literature, 4 anthropometric and 10 sports-pedagogical tests. The achieved results from the testing have been processed by applying the T-criterion of Student, variation analysis, body-mass index and correlation analysis. The analysis of the results from the two testing sets has established that the applied training program has made positive impact over some characteristics of the sports preparedness of the basketball players. The training methods which should be applied for female basketball players at that age, have to be aiming at improving the speed of reaction, frequency of movements and the coordination abilities, together with techniques in playing offense and defense. The examined young basketball players have significantly improved their bursting power in horizontal and vertical planes. The same is noticed for their speed and the technical success in shooting while moving (successful shots on the go).
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Ganesh, Lingadalu. „A Methodology for Multi-Objective Design Optimization (MDO) of Automotive Suspension Systems“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0024.
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<div class="section abstract"><div class="htmlview paragraph">Original Equipment Manufacturers (OEMs) should innovate ways to delight customers by creating affordable products with improved drive experience and occupant comfort. Vehicle refinement is an important initiative that is often take-up by the project teams to ensure that the product meets the customer’s expectations. A few important aspects of vehicle refinement include improving the Noise Vibration Harshness (NVH), ride and handling performance pertaining to the Functional Image (FI) of the product. Optimizing the suspension design variables to meet both ride and handling performance is often challenging as improving the ride will have a deteriorating effect on handling and vice-versa. The present work involves Multi-Objective Design Optimization (MDO) of the suspension system of an automotive Sports Utility Vehicle (SUV) platform considering both ride and handling requirements, simultaneously. Using advanced simulation tools (ADAMS) and a Design of Experiments (DoE) based approach, functional forms were derived for the objective function and constraint variables. The mathematical forms of the predictive models were obtained from various machine learning based algorithms. Trade studies were done to arrive at optimal design decisions. In the available literature, there are very few machine learning based optimization studies done considering both ride and handling attributes, simultaneously, covering a wide range of Design Verification Plans (DVPs).</div></div>
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Barpanda, Dev, und P. Raju Mantena. „Dynamic Performance Characterization of Hockey Sticks Using a Combined Vibrational Energy Level and Modal Analysis Approach“. In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0516.
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Abstract Composite materials offer significant improvements in fatigue behavior, impact performance and damping coupled with high stiffness and strength. Due to these properties and an increasing demand for high performance cutting-edge sports equipment, more scientific and engineering research is now being focused in the field of recreation. The use of stiff, lightweight composite materials has created many novel features in golf clubs, baseball bats and skis; features generally not possible with conventional materials. The performance, user comfort, and fatigue life of these products are strongly related to their dynamic characteristics. Design decisions relevant to these issues should, therefore, be made based on an understanding of the dynamic characteristics through modal parametric studies. This paper discusses the vibration response characteristics of some commercially available hockey sticks with wooden, aluminum and graphite shafts, when subjected to short duration impact loads. Using an instrumented impact hammer, a complete modal survey is initially conducted on these hockey sticks to study their dynamic behavior. A comparative study of the modal parameters (natural frequency, damping, and mode shapes) of the different hockey sticks provides valuable information for design optimization and to validate the accuracy of a finite element model. In addition, a refined two-accelerometer technique has been utilized to perform vibrational energy level tests (on the blade portion of the hockey sticks) to obtain the flexural and torsional vibration level distribution and to map out the sweet spot locations. Results indicate that this combined strategy of using both approaches provides a better understanding of the vibration performance characteristics of hockey sticks. Work is currently in progress to extend this technique for characterizing golf clubs.
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Abshirini, Mohammad, Mohammad Charara, Mrinal C. Saha, M. Cengiz Altan und Yingtao Liu. „Optimization of 3D Printed Elastomeric Nanocomposites for Flexible Strain Sensing Applications“. In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11467.
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Abstract Flexible and sensitive strain sensors can be utilized as wearable sensors and electronic devices in a wide range of applications, such as personal health monitoring, sports performance, and electronic skin. This paper presents the fabrication of a highly flexible and sensitive strain sensor by 3D printing an electrically conductive polydimethylsiloxane (PDMS)/multi-wall carbon nanotube (MWNT) nanocomposite on a PDMS substrate. To maximize the sensor’s gauge factor, the effects of MWNT concentration on the strain sensing function in nanocomposites are evaluated. Critical 3D printing and curing parameters, such as 3D printing nozzle diameter and nanocomposites curing temperature, are explored to achieve the highest piezoresistive response, showing that utilizing a smaller deposition nozzle size and higher curing temperature can result in a higher gauge factor. The optimized 3D printed nanocomposite sensor’s sensitivity is characterized under cyclic tensile loads at different maximum strains and loading rates. A linear piezoresistive response is observed up to 70% strain with an average gauge factor of 12, pointing to the sensor’s potential as a flexible strain sensor. In addition, the sensing function is almost independent of the applied load rate. The fabricated sensors are attached to a glove and used as a wearable sensor by detecting human finger and wrist motion. The results indicate that this 3D printed functional nanocomposite shows promise in a broad range of applications, including wearable and skin mounted sensors.
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Elahi, Haadi, Marvin Perez, Vimal Viswanathan, Aayush Vemuri, Indeever Madireddy und Sohail Zaidi. „Characterization and Optimization of a Lower Extremity Exoskeleton Device for Leg Muscle Rehabilitation“. In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-72130.
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Abstract Robotics-assisted rehabilitation has been one of the popular research areas in recent years. The increase in the elderly population and sports-related injuries, the high cost of physical therapy, and advances in Mechatronics have been crucial factors driving this research. The objective of this project is to provide supplementary motion in knee extension and flexion for lower extremity rehabilitation. The device incorporates pneumatic muscles that closely recreate human muscle movement and surface electromyography (EMG) sensors to activate motions. Recently, tests were carried out to characterize the unit and compare the performance of the pneumatic muscles against the theoretical values provided by the manufacturer. Results indicate limitations in the range of operation of the device, mainly due to the limited contraction ratio of commercially available fluidic muscles. Overall, the project provided vital insights that may be useful for researchers developing exoskeleton devices for rehabilitation. This paper reports the characterization of the EMG sensors and pneumatic-based fluidic muscles used in the ABJ system. To address the shortcomings of the commercially available fluidic muscle, custom muscles are designed and characterized. The results provide significant insights for a redesign of the device. Based on the characterization data, a redesign is proposed for a future generation of the device.