Relevant bibliographies by topics / Mobile self-tracking application

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Mobile self-tracking application'

Author: Grafiati
Published: 9 February 2024

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Journal articles on the topic "Mobile self-tracking application"

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Mathur, Sankalp, H. Karthikeyan, and Aditya Pratap Singh. "Mobile Fitness Application." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1481–85. http://dx.doi.org/10.22214/ijraset.2022.47403.

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Abstract: Online technologies that enable self-tracking as well as exercise are fitness apps. Certain app features, such as normalized step objectives, indicate controlling circumstances that might influence controlled vs. autonomous motivation and, therefore, encourage regular exercise. This research sought to determine how using a fitness app for self-tracking and setting a normalized step goal affected several elements of desire and regular exercise. Fitness applications have taken over the country with the launch of the mobile Web and have significantly changed how individuals behave while exercising. One can install a tonne of fitness applications from the web. Applications present in the current app stores does not have to many features like water-in-take or calories burnt, step counter all in one. Either the application has only one of two feature .With just a few applications having all the required features but are very costly and accessible to the majority of the people.
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Chrisdianti, Galuh Octavia, Putu Wuri Handayani, Fatimah Azzahro, and Satrio Baskoro Yudhoatmojo. "Users’ Intention to Use Mobile Health Applications for Personal Health Tracking." Jurnal Sistem Informasi 19, no. 1 (April 5, 2023): 1–12. http://dx.doi.org/10.21609/jsi.v19i1.1196.

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This study aimed to analyze factors influencing the intention to use mobile health applications for personal health tracking (PHT). The respondents were 516 individuals who had used a PHT application, such as Samsung Health, iOS Health, or MiFit. Data processing was done via using partial least squares–structural equation modeling (PLS-SEM). This study uncovered factors that can affect intention to use PHT applications, including perceived usefulness, social influence, facilitating conditions, hedonic motivation, habits, performance risk, and self-health awareness. It was found that perceived ease of use and self-reported health condition do not affect the intention to use PHT applications. This study can provide guidance on PHT application service providers for ensuring data accuracy, increasing user satisfaction when using the applications, and preventing privacy violation.
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Wan Mohamed, Wan Ainul Alyani, Muhammad Aqil Firas Zakey, and Noor Suhana Sulaiman. "COVID-19 Patient Under Investigation Self-Monitoring Mobile Application: Development and Implementation." Journal of Physics: Conference Series 2319, no. 1 (August 1, 2022): 012028. http://dx.doi.org/10.1088/1742-6596/2319/1/012028.

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Abstract This research aims to develop a mobile application for Covid-19’s Patient Under Investigation (PUI) Self-Monitoring (PUISM). The intended audience for this project is PUI cases, specifically (Covid-19) cases. The application was developed for PUI self-health monitoring in order to keep doctors, nurses, and administrators updated about their health status. As a method, the ADDIE model was used in this project. The ADDIE model was employed in this project as an approach. Five phases comprise the ADDIE method: Analysis, Design, Development, Implementation, And Evaluation. During the design phase, the developer will produce a prototype of mobile applications for PUI that will achieve the patient’s goals and patient requirements. The developer can then create mobile applications that follow the prototype’s design. During the implementation phase, the developer will publish the mobile application. The developer will then collect feedback, analyze the effectiveness of the mobile application for PUI, and determine whether the application is entirely functional or not. Finally, our endeavour benefits all frontlines by supporting them in tracking PUI that meet the criteria for Covid-19 occurrences. Additionally, this treatment reduces the transmission of infection Covid-19 to lessen the burden on the health care system and improve home self-monitoring.
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Kondakov, Victor L., and Aleksandr S. Sheplyakov. "Analysis of mobile applications to increase the level of physical activity of students." Tambov University Review. Series: Humanities, no. 2 (2022): 443–50. http://dx.doi.org/10.20310/1810-0201-2022-27-2-443-450.

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The development of mobile applications in the field of education and wellness has been developing rapidly in recent years. Almost every student actively uses their gadgets in their educa-tional and daily activities. Due to the fact that modern youth has a sedentary lifestyle, the use of mobile applications for self-study is an effective means of increasing the physical activity of stu-dents. An analysis of modern mobile applications for tracking the motor activity of students, and criteria for choosing a quality application are presented.
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Celiku, Orieta, Kristin Odom, Mahendar Ramidi, and Terri Armstrong. "INNV-41. MY STORI – A SYMPTOM TRACKING AND REPORTING INSTRUMENT MOBILE APPLICATION FOR BRAIN TUMOR PATIENTS." Neuro-Oncology 23, Supplement_6 (November 2, 2021): vi114. http://dx.doi.org/10.1093/neuonc/noab196.451.

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Abstract INTRODUCTION Managing symptom burden is an integral part of brain tumor patient care, but tools to facilitate tracking symptoms and self-management for this population are lacking. Reporting is often limited to self-report as part of clinical follow-up care, or episodic between visits if symptoms are severe. While general-purpose and cancer-specific mobile applications that track medical symptoms are becoming more prevalent, they may not cover the entire range of symptoms experienced by patients with brain tumors or allow tracking of self-management strategies. METHODS We developed an iOS operating system mobile application using Apple’s UIKit, Foundation, WebKit, and Core Graphics frameworks. Core Data and iCloud were used to implement local and cloud-based data storage for personal use. Findings from our Outcomes Surveys informed selection of core symptoms to track. A multidisciplinary team of neuro-oncology scientists, providers, and communication specialists developed self-care content from evidence-based sources. RESULTS We developed My STORI, a free mobile application to capture the experiences of brain tumor patients. Patients and their family members can track daily symptoms and their impact on function and record any actions that were taken to mitigate them. Evidence-based self-care information on how to recognize, manage, and report symptoms is provided. Graphical summaries of how these symptoms evolve over time, and how they are impacted by clinical appointments, treatment, and self-care activities can be displayed and compiled into reports that can be shared with their care team, family, or health care record. CONCLUSIONS Mobile applications have the potential to promote self-care, facilitate symptom management, and enable intuitive, frequent, and convenient reporting of clinically relevant data to the health-care team. The My STORI application is an innovation in patient care guided by evidence-based research and can be used to track symptom management, promote self-care, and enhance communication to improve clinical care and research.
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Souissi, Rihab, Salwa Sahnoun, Mohamed Khalil Baazaoui, Robert Fromm, Ahmed Fakhfakh, and Faouzi Derbel. "A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol." Sensors 24, no. 3 (January 25, 2024): 802. http://dx.doi.org/10.3390/s24030802.

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Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application. In this paper, a novel algorithm introduces a self-localization algorithm for mobile targets using the wake-up media access control (MAC) protocol. The developed tracking application is based on the trilateration technique with received signal strength indication (RSSI) measurements. Simulations are implemented in the OMNeT++ discrete event simulator using the C++ programming language, and the RSSI values introduced are based on real indoor measurements. In addition, a determination approach for finding the optimal parameters of RSSI is assigned to implement for the simulation parameters. Simulation results show a significant reduction in power consumption and exceptional accuracy, with an average error of 1.91 m in 90% of cases. This method allows the optimization of overall energy consumption, which consumes only 2.69% during the localization of 100 different positions.
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Hübner, P., M. Weinmann, M. Hillemann, B. Jutzi, and S. Wursthorn. "COMBINING INDEPENDENT VISUALIZATION AND TRACKING SYSTEMS FOR AUGMENTED REALITY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 455–62. http://dx.doi.org/10.5194/isprs-archives-xlii-2-455-2018.

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The basic requirement for the successful deployment of a mobile augmented reality application is a reliable tracking system with high accuracy. Recently, a helmet-based inside-out tracking system which meets this demand has been proposed for self-localization in buildings. To realize an augmented reality application based on this tracking system, a display has to be added for visualization purposes. Therefore, the relative pose of this visualization platform with respect to the helmet has to be tracked. In the case of hand-held visualization platforms like smartphones or tablets, this can be achieved by means of image-based tracking methods like marker-based or model-based tracking. In this paper, we present two marker-based methods for tracking the relative pose between the helmet-based tracking system and a tablet-based visualization system. Both methods were implemented and comparatively evaluated in terms of tracking accuracy. Our results show that mobile inside-out tracking systems without integrated displays can easily be supplemented with a hand-held tablet as visualization device for augmented reality purposes.
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Karnowski, Veronika, and Doreen Reifegerste. "More than counting steps: Identifying types of self-tracking usage among German young adults." Studies in Communication and Media 12, no. 1 (2023): 92–113. http://dx.doi.org/10.5771/2192-4007-2023-1-92.

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Self-tracking technologies have been regarded both very optimistic and very critical. However, these conclusions are often based on single application studies and lack empirical evidence on actual self-tracking usage. We set out to identify types of self-tracking usage based on users’ mobile media ensembles and their varying levels of engagement with the technology. Using latent class analysis, we empirically identified three types of self-tracking usage based on an online survey of a representative sample of N = 367 German self-trackers aged 18 to 30. Results indicate interactive intensive self-trackers spend more time physically active per week than feedback-oriented basic self-trackers and purist step counters. In addition, the injunctive norm-setting perception of algorithmic feedback is significantly higher for feedback-oriented basic self-trackers and interactive intensive self-trackers than purist step counters. Future research should be aware of these differences in young adults’ engagement with self-tracking of physical activity and integrate them into empirical research, especially when aiming to assess the effects of self-tracking.
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Festic, Noemi, Michael Latzer, and Svetlana Smirnova. "Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies." Media and Communication 9, no. 4 (November 18, 2021): 145–57. http://dx.doi.org/10.17645/mac.v9i4.4162.

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Self-tracking with wearable devices and mobile applications is a popular practice that relies on automated data collection and algorithm-driven analytics. Initially designed as a tool for personal use, a variety of public and corporate actors such as commercial organizations and insurance companies now make use of self-tracking data. Associated social risks such as privacy violations or measurement inaccuracies have been theoretically derived, although empirical evidence remains sparse. This article conceptualizes self-tracking as algorithmic-selection applications and empirically examines users’ risk awareness related to self-tracking applications as well as coping strategies as an option to deal with these risks. It draws on representative survey data collected in Switzerland. The results reveal that Swiss self-trackers’ awareness of risks related to the applications they use is generally low and only a small number of those who self-track apply coping strategies. We further find only a weak association between risk awareness and the application of coping strategies. This points to a cost-benefit calculation when deciding how to respond to perceived risks, a behavior explained as a privacy calculus in extant literature. The widespread willingness to pass on personal data to insurance companies despite associated risks provides further evidence for this interpretation. The conclusions—made even more pertinent by the potential of wearables’ track-and-trace systems and state-level health provision—raise questions about technical safeguarding, data and health literacies, and governance mechanisms that might be necessary considering the further popularization of self-tracking for health.
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Gomolin, Arieh, Bertrand Lebouché, Kim Engler, and Isabelle Vedel. "Optimizing smartphone intervention features to improve chronic disease management: A rapid review." Health Informatics Journal 26, no. 3 (December 12, 2019): 1795–809. http://dx.doi.org/10.1177/1460458219891377.

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While there are an increasing number of mobile health applications to facilitate self-management in patients with chronic disease, little is known about which application features are responsible for impact. The objective was to uncover application features associated with increased usability or improved patient outcomes. A rapid review was conducted in MEDLINE for recent studies on smartphone applications. Eligible studies examined applications for adult chronic disease populations, with self-management content, and assessed specific features. The features studied and their impacts on usability and patient outcomes were extracted. From 3661 records, 19 studies were eligible. Numerous application features related to interface (e.g. reduced number of screens, limited manual data entry) and content (e.g. simplicity, self-tracking features) were linked to improved usability. Only three studies examined patient outcomes. Specific features were shown to have a higher impact. Implementing them can improve chronic disease management and reduce app development efforts.
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Dissertations / Theses on the topic "Mobile self-tracking application"

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Viklund, Anna. "Designing VoiceUp : a Mobile Application Visualizing Vocal Activity Measured by a Wearable Device." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111062.

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This thesis explores a concept by Sonvox AB called VoiceUp. The concept is that of a mobile application that communicates with a wearable voice measuring device and visualizes voice information in a way that helps singers. Sonvox current main product is VoxLog—a system for long-term voice monitoring, mostly used for research purposes. Sonvox believes that their voice analysis technology could be relevant to a larger audience. The main goal for the thesis is to explore if a wearable voice measuring device could be relevant to singers, and in what ways. To do this, a needs analysis was conducted where song teachers and singers were interviewed. In order to draw statistical conclusions about the occurrence of needs, a survey was conducted where people with an interest for singing were the targeted respondents. Based on the result from the needs analysis, the VoiceUp concept was refined, resulting in an idea of a product that measures and visualizes how much the user sings and speaks with the aim to increase singers motivation to practice singing more regularly. Based on theory related to self-tracking, a design proving the concept was created, resulting in a mockup and a simple prototype. The mockup and the prototype can together be seen as one example of how self-tracking technology could be relevant to singers.
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Chambon, Thomas. "Effets de la complexité de l’information sur les intentions et les comportements de mobilité urbaine : Construction d’un outil d’aide au changement de comportement." Electronic Thesis or Diss., La Rochelle, 2023. http://www.theses.fr/2023LAROS017.

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Les travaux de recherche menés dans le cadre de cette thèse ont pour objectif de contribuer à trois problématiques liées à la nature de l’information, à sa perception et à sa transmission à l’aide d’une application mobile comme outil d’aide au changement. Nos contributions sur la nature de l’information et plus particulièrement sa complexité sont destinées à faciliter la compréhension de l’information. Nous avons proposé une nouvelle méthode de classement basée sur la théorie algorithmique de l’information (complexité de Kolmogorov). Ces travaux nous ont permis de mieux comprendre l’impact de la complexité de l’information chez les individus. Nous avons également porté une attention particulière à la perception de l’information en analysant les caractéristiques exerçant une influence sur le processus de décision chez l’humain. À partir de cette analyse, nous avons proposé une étude exploratoire d’oculométrie permettant de mettre en lumière les effets de la complexité et de la position de l’information sur le choix d’un individu dans une tâche de mobilité urbaine. Notre recherche sur la création d’un outil d’aide au changement de comportement nous a mené à la conception et au développement d’une application mobile de suivi de sa propre consommation de CO2. L’objectif de cette application est de comprendre les facteurs d’acceptation de ces outils et l’influence de la complexité de l’information sur ces facteurs. Cette contribution constitue également une expérimentation en conditions réelles de l’ensemble de nos travaux dans un contexte de recherche encore peu exploité, la mobilité urbaine
The research work conducted in the framework of this thesis aims to contribute to three issues related to the nature of information, its perception and its transmission using a mobile application (tool for change). Our contributions on the nature of information and more particularly its complexity are intended to facilitate the understanding of information. Based on the algorithmic theory of information and more particularly the complexity of information (Kolmogorov complexity), a new classification method has been proposed. This work has allowed us to better understand the impact of information complexity on individuals. We also paid particular attention to the perception of information by analyzing the characteristics that influence the decision process in humans. From this analysis, an exploratory eye-tracking study was carried out to highlight the effects of information complexity and position on an individual’s choice in an urban mobility task. Our research on the creation of a behavior change tool led us to the design and development of a mobile application to monitor one’s own CO2 consumption. The objective of this application is to understand the factors of acceptance of these tools and the influence of the complexity of the information on these factors. This contribution is also an experimentation in real conditions of all our work, in a research context still little exploited, the urban mobility
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Book chapters on the topic "Mobile self-tracking application"

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Sun, Jingtao, Cheng Yang, Tomoya Tanjo, Kazushige Sage, and Kento Aida. "Implementation of Self-adaptive Middleware for Mobile Vehicle Tracking Applications on Edge Computing." In Internet and Distributed Computing Systems, 1–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02738-4_1.

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Reichert, Ramón. "The Rise of Digital Governmentality in the Era of Covid-19." In The Pandemic Visual Regime, 195–216. Earth, Milky Way: punctum books, 2023. http://dx.doi.org/10.53288/0448.1.08.

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A decisive effect of the worldwide spread of the corona virus is the transformation of digital lifestyle media into state-used recording, storage and distribution media. With the pandemic spread of the virus, the tectonics of digital power may have shifted the way forward. The global threat posed by the corona virus is transforming mobile media and their software applications into state-organized surveillance technologies. Mobility tracking is regarded by health authorities and government officials as a reliable data basis for enforcing political decisions as legitimate. Seen in this way, digital media take over the empirical basis of political action. The disciplinary techniques of state surveillance and punishment are migrating into all areas of digital communication and affect mobile media (geo-tracking), stop corona apps (monitoring), social media (blaming) and selfies (self-evidence). In a global comparison, this paper will compare different national strategies and also include non-western countries. In this context, this investigation is investigating the biosurveillance in China, Singapore and Hong Kong (SenseTime, TikTok etc.), the secret service control in Israel and the use of robotics in Tunisia.
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Ezra, Orit, Anat Cohen, and Dror Shany. "A mobile diary application as an instrument for collecting real-world and real-life contextualized language learning." In Proceedings of the XXIst International CALL Research Conference, 137–45. Castledown Publishers, 2022. http://dx.doi.org/10.29140/9781914291050-19.

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This study is part of a long-term project dealing with the definitions, measurements, factors, and outcomes of outside-classroom real-world (RW) and real-life (RL) contextualized (mobile-assisted) language learning, that is, CLL and CMALL. A known research obstacle in the field is how to collect learners' RW/RL contextualized learning given ‘noisy’ data. There is an issue of memory for self-reported data, which weakens questionnaires' validity. The experience sampling method (ESM), however good in assisting learners' recall, is quite laborious. Diaries are introspective, and asking about recent events, such as a day before, as in the day reconstruction method (DRM), can reduce memory bias. Furthermore, digital tools facilitate data analysis for researchers. Therefore, in this study, we developed a diary application to collect data on learners’ experiences in outside-classroom RW-RL CLL & CMALL. We developed the diary app based on the DRM guideline and eight principles that make it usable in future studies regardless of the target language with no need for coding. The main learner functionality (reporting events) is based on the RW/RL contextualized learning model adjusted to the diary. The diarists are guided unequivocally based on the model and using clear instructions and questions about aspects of language, context, materials, and feelings. The Admin Monitor facilitates data tracking and analysis. Thus, this pioneering language-learning diary application for outside-classroom RW-RL CLL and CMALL is more structurally consistent and comprehensive than traditional language-learning diaries. The app is purposeful for researchers and practitioners interested in using language-learning diaries or learning about students' outside-class RW-RL CLL & CMALL.
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DiGregorio, Rachelle, and Harsha Gangadharbatla. "Gamified Self." In Emerging Research and Trends in Gamification, 304–27. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8651-9.ch013.

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Gamified self has many dimensions, one of which is self-tracking. It is an activity in which a person collects and reflects on their personal information over time. Digital tools such as pedometers, GPS-enabled mobile applications, and number-crunching websites increasingly facilitate this practice. The collection of personal information is now a commonplace activity as a result of connected devices and the Internet. Tracking is integrated into so many digital services and devices; it is more or less unavoidable. Self-tracking engages with new technology to put the power of self-improvement and self-knowledge into people's own hands by bringing game dynamics to non-game contexts. The purpose of this chapter's research is to move towards a better understanding of how self-tracking can (and will) grow in the consumer market. An online survey was conducted and results indicate that perceptions of ease of use and enjoyment of tracking tools are less influential to technology acceptance than perceptions of usefulness. Implications and future research directions are presented.
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Conference papers on the topic "Mobile self-tracking application"

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Billis, Antonis S., Asterios Batziakas, and Panagiotis D. Bamidis. "Towards a Quantified-Self web application for seniors' self-tracking." In 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL). IEEE, 2015. http://dx.doi.org/10.1109/imctl.2015.7359610.

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Sohal, Shubhdildeep S., and Pinhas Ben-Tzvi. "Sensor Based Target Tracking With Application to Autonomous Docking and Self-Reconfigurability." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22181.

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Abstract This paper presents a target detection technique, which combines a supervised learning model with sensor data to eliminate false positives for a given input image frame. Such a technique aids with selective docking procedures where multiple robots are present in the environment. Hence the sensor data provides additional information for this decision making process. Senor accuracy plays a crucial role when the motion of the robot is defined by the use of data recorded by its sensors. The uncertainties in the sensory data can cause misalignments due to poor calibration of the sensor, which can result in poor positioning of the robot relative to its target. Such misalignments can play a significant role where certain accuracy is desired. Therefore, it is necessary to minimize such misalignments to achieve certainty for the robot interaction with its target. The work proposed in this paper allows achieving such accuracy using a vision-based approach by eliminating all false occurrences leading to selective interactions with the target. The proposed methodology is validated using a self-reconfigurable mobile robot capable of hybrid Wheeled-Tracked mobility, as an application towards autonomous docking of mobile robotic modules.
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Cui, Shi-Gang, Hui-Liang Pan, and Ji-Gong Li. "Application of Self-Tuning of PID Control Based on BP Neural Networks in the Mobile Robot Target Tracking." In 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2013. http://dx.doi.org/10.1109/imccc.2013.350.

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Toivanen, Miika, Visajaani Salonen, and Markku Hannula. "Self-made mobile gaze tracking for group studies." In ETRA '18: 2018 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3204493.3208347.

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Schellberg, Jacqueline M., and Sanjib Sur. "Accurate device self-tracking for robust millimeter-wave imaging on handheld smart devices." In MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3498361.3538775.

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Thiel, Kat, and Susan Postlethwaite. "Human-centric research of skills and decision-making capacity in fashion garment manufacturing to support robotic design tool development." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003505.

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This paper examines the findings of research combining Human Factors methods with Fashion Design Practice Research to identify existing skills levels of UK sewing machinists, assessing the interest in integrating robotic tooling into low-volume high-value fashion design workflows to help an upskilling and onshoring agenda for UK SME fashion manufacturing. Despite its international reputation for creative design and contributing £32.3 billion to the UK economy (Oxford Economics, 2018), the UK’s fashion industry's levels of automation are much lower than other sectors. Amongst young people who might enter the industry a lack of interest in manufacturing, anxieties about modern-day slavery, poor working conditions, precarity in the jobs market, low levels of pay and training are exacerbating the situation. The challenges of integrating automation, robotics and engineering into a highly creative UK fashion sector with a need for very high levels of agility in micro-production processes can be addressed through joint research from Human Factors and design-led research. This project explored skills levels in garment manufacturing, to inform the steps in research of new tooling concerned with identifying tasks that can be performed by robots, or those needing to remain performed by skilled human makers - importantly identifying requirements for promoting worker satisfaction via new technology and automation. The research evidences sewing machinists’ need for better work fulfilment and personal reward. Currently, the UK fashion manufacturing sector lacks systems that support the application of transferable skills to rejuvenate the jobs market with opportunities that can inspire and entice a young workforce to enter what could be a dynamic field. In a mixed methods study, researchers used questionnaires, desk research, eye-tracking and heart-rate monitoring to evidence cognitive decision-making and tacit/tactile knowledge of sewing machinists. Participants of the questionnaire and eye-tracking trials stressed a sense of reward as one of the main drivers for fulfilment during a sewing project. Investigating the development of new tooling in the context of creatively rewarding activity is therefore a critical next step in design research with Human Factors. This study has delivered perspectives on ways to increase collaboration capability between social science and fashion design research to innovate within manufacturing processes amidst a growing skills shortage in the UK. This tightly limited scope study has been an ideal way of demonstrating the value in this area of research as a platform for a larger collaborative piece of work in the future with a focus on co-investigating, with micro and SME fashion design and robotics businesses, what kind of small-scale tools might need to be designed to enable new forms of on-shored production, leading naturally to a new design aesthetic. These cobot systems could support decision-making for fabrication sequencing. There is already potential for interactive robots to be mobile on desktops as well as self-assembling swarms - concepts that can help to address further development aims for garment manufacturing.
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Veliks, Viktors, Juris Porozovs, Aija Kļaviņa, Inta Guļevska, Anna Zuša, and Aleksandrs Aniščenko. "Recording Adolescent’s Physical Activity Using Tracking Devices and Observation of Cognitive Abilities." In 81th International Scientific Conference of the University of Latvia. University of Latvia Press, 2023. http://dx.doi.org/10.22364/htqe.2023.39.

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Physical activity is vital important for the holistic development of adolescents, fostering their physical, cognitive, and social health. Measuring daily physical activity is necessary for objective monitoring of the necessary amount of physical activity to maintain health. Various physical activity trackers have been developed to increase an individual’s awareness of physical activity throughout the day, but it is important to choose one that precisely measures the performance of various exercises and is easy to use. The aim of the study was to develop methodology and protocols for tracking adolescent’s daily physical activities, sleep duration and quality, and assess dynamic of adolescent’s motor skills and psychophysiological parameters. A case study to evaluate the correlation of physical and cognitive parameters with screen time dependency in adolescents was carried out. Two adolescent’s groups were organized: group with partly supervised physical exercise program and group with fully supervised physical exercise program. The level of physical activities was recorded with Fitbit and Actigraph fitness trackers and mobile applications. Adolescent’s motor skills were assessed by using the Bruininks – Oseretsky Bot-2 method, and psychophysiological parameters were assessed using Vienna tests before and after starting complex of physical activities. The results of the research suggested that the developed methodology gave ability to record adolescent’s physical and behavioural activity during the 16-weeks physical exercise program and compare it with their self-reported physical activities. Fitbit fitness trackers are more preferable in comparison with Actigraph because it is easier to use it in partly supervised activity conditions, and it is possible to register sleep duration and heart rate changes with Fitbit. Using the developed methodology, and taking into account changes in physical activities, it is possible to assess the dynamic of physical and psychophysiological parameter changes of adolescents.
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