Dissertations / Theses on the topic 'TRACKING HUMAN BODY'
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Topcu, Hasan Huseyin. "Human Body Part Detection And Multi-human Tracking Insurveillance Videos." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614308/index.pdf.
Full textWren, Christopher R. (Christopher Richard). "Pfinder : real-time tracking of the human body." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10652.
Full textBao, Guanqun. "On Simultaneous Localization and Mapping inside the Human Body (Body-SLAM)." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-dissertations/206.
Full textZhang, Qing. "HIGH QUALITY HUMAN 3D BODY MODELING, TRACKING AND APPLICATION." UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/39.
Full textRenna, I. "Upper body tracking and Gesture recognition for Human-Machine Interaction." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00717443.
Full textRenna, Ilaria. "Upper body tracking and Gesture recognition for Human-Machine Interaction." Paris 6, 2012. http://www.theses.fr/2012PA066119.
Full textRobots are artificial agents that can act in humans’ world thanks to perception, action and reasoning capacities. In particular, robots companion are designed to share with humans the same physical and communication spaces in performing daily life collaborative tasks and aids. In such a context, interactions between humans and robots are expected to be as natural and as intuitive as possible. One of the most natural ways is based on gestures and reactive body motions. To make this friendly interaction possible, a robot companion has to be endowed with one or more capabilities allowing him to perceive, to recognize and to react to human gestures. This PhD thesis has been focused on the design and the development of a gesture recognition system that can be exploited in a human-robot interaction context. This system includes (1) a limbs-tracking algorithm that determines human body position during movements and (2) a higher-level module that recognizes gestures performed by human users. New contributions were made in both topics. First, a new approach is proposed for visual tracking of upper-body limbs. Analysing human body motion is challenging, due to the important number of degrees of freedom of the articulated object modelling the upper body. To circumvent the computational complexity, each limb is tracked with an Annealed Particle Filter and the different filters interact through Belief Propagation. 3D human body is described as a graphical model in which the relationships between the body parts are represented by conditional probability distributions. Pose estimation problem is thus formulated as a probabilistic inference over a graphical model, where the random variables correspond to the individual limb parameters (position and orientation) and Belief Propagation messages ensure coherence between limbs. Secondly, we propose a framework allowing emblematic gestures detection and recognition. The most challenging issue in gesture recognition is to find good features with a discriminant power (to distinguish between different gestures) and a good robustness to intrinsic gestures variability (the context in which gestures are expressed, the morphology of the person, the point of view, etc. ). In this work, we propose a new arm's kinematics normalization scheme reflecting both the muscular activity and arm's appearance when a gesture is performed. The obtained signals are first segmented and then analysed by two machine learning techniques: Hidden Markov Models and Support Vector Machines. The two methods are compared in a 5 classes emblematic gestures recognition task. Both systems show good performances with a minimalistic training database regardless to performer's anthropometry, gender, age or pose with regard to the sensing system. The work presented here has been done within the framework of a PhD thesis in joint supervision between the “Pierre et Marie Curie” University (ISIR laboratory, Paris) and the University of Genova (IIT--Tera department) and was labelled by the French-Italian University
Lu, Yao. "Human body tracking and pose estimation from monocular image sequences." Thesis, Curtin University, 2013. http://hdl.handle.net/20.500.11937/1665.
Full textAzhar, Faisal. "Marker-less human body part detection, labelling and tracking for human activity recognition." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/69575/.
Full textAbedan, Kondori Farid. "Bring Your Body into Action : Body Gesture Detection, Tracking, and Analysis for Natural Interaction." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-88508.
Full textFang, Bing. "A Framework for Human Body Tracking Using an Agent-based Architecture." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77135.
Full textPh. D.
Mikić, Ivana. "Human body model acquisition and tracking using multi-camera voxel data /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3036991.
Full textWong, Shu-fai, and 黃樹輝. "The Application of human body tracking for the development of a visualinterface." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30103009.
Full textJolly, James, Joe Bishop, and Emilio Nanni. "Tracking the Human Body Via a Wireless Network of Pyroelectric Sensor Arrays." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606242.
Full textThis paper describes the design and construction of a low-cost wireless sensor network (WSN) intended to track a human body walking upright through its physical topology. The network consists of arrays of pyroelectric infrared (PIR) sensors that can detect a moving body up to five meters away within a semicircular field of view. Data is gathered from these arrays and transmitted to a central processor that triangulates the body's position. Important characteristics of both the PIR sensors and the network's asynchronous nature are elaborated upon to illustrate how they affect the interpretation of the data.
D'Apuzzo, Nicola D'Apuzzo Nicola D'Apuzzo Nicola. "Surface measurement and tracking of human body parts from multi station video sequences /." Zürich : Institut für Geodäsie und Photogrammetrie, 2003. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=15271.
Full textAparicio, Conrado. "Implementation of a quaternion-based Kalman filter for human body motion tracking using MARG sensors." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FAparicio.pdf.
Full textElanattil, Shafeeq. "Non-rigid 3D reconstruction of the human body in motion." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/205095/1/Shafeeq_Elanattil_Thesis.pdf.
Full textSinav, Alper. "Analysis and modeling of the virtual human interface for the MARG body tracking system using quaternions." Thesis, Monterey, California. Naval Postgraduate School, 2002. http://hdl.handle.net/10945/6018.
Full textThis thesis done in cooperation with the MOVES Institute
Mathematicians have used quaternions for about a hundred years. Today they are an important part of computer graphics and simulation systems. This thesis takes an analytical approach to quaternions by using them in the construction of a virtual human for sourceless Magnetic Accelerometer Rate Sensor (MARG) body tracking system. Virtual citizens will be a reflection of our personalities in cyberspace. Prophecies say they may take control in the virtual world and govern themselves too. One of the objectives of this thesis is to design a seamless and realistic humanoid from laser scan data clouds. This humanoid will be compatible with motion capture systems and networked virtual environments. Second objective of this thesis is to search for the answers related to the optimal real-time representation of an articulated virtual human, maintaining a high level of visual fidelity within networked cyberspace. While visual detail and fidelity have been and will continue to be a major ongoing interest within the computer graphics community, the idea of sourceless body tracking is still in its early stages. MARG body tracking is one of the successful approaches to body tracking systems. This thesis proposes a networked quaternion based real-time virtual human interface for the MARG body tracking system.
Jurzykowski, Michal. "Eye Tracking in User Interfaces." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236489.
Full textTwyman, Nathan W. "Automated Human Screening for Detecting Concealed Knowledge." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/222874.
Full textFallah, Haghmohammadi Hamidreza. "Fever Detection for Dynamic Human Environment Using Sensor Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37332.
Full textMiezal, Markus [Verfasser]. "Models, methods and error source investigation for real-time Kalman filter based inertial human body tracking / Markus Miezal." München : Verlag Dr. Hut, 2021. http://d-nb.info/1232847631/34.
Full textShaban, Heba Ahmed. "A Novel Highly Accurate Wireless Wearable Human Locomotion Tracking and Gait Analysis System via UWB Radios." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/27562.
Full textPh. D.
Zhu, Youding. "Model-Based Human Pose Estimation with Spatio-Temporal Inferencing." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509.
Full textBasharat, Arslan. "MODELING SCENES AND HUMAN ACTIVITIES IN VIDEOS." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3830.
Full textPh.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
Rius, Ferrer Ignasi. "Motion Priors for Efficient Bayesian Tracking In Iluman Sequence Evaluation." Doctoral thesis, Universitat Autònoma de Barcelona, 2010. http://hdl.handle.net/10803/5798.
Full textEl treball presentat en aquesta Tesis esta enfocat a recuperar els parametres de moviment 3D d'un model del cos huma a partir de mesures incompletes i sorolloses d'una seqüencia d'imatges monocular. Aquestes mesures consisteixen en les posicions 2D d'un conjunt redult d'articulacions en el pla d'imatge. Amb aquesta fnalitat, proposem un nou model de moviment huma específc per cada acció, que és entrenat a partir de bases de dades de captures de moviment que contenen varies execucions d'una acció en particular, i que és utilitzat com a coneixement a priori en un esquema de fltratge de partícules.
Les postures del cos es representen emprant un model articulat simple i compacte que fa ús dels cosinus directors per tal de representar la direcció de les parts del cos en l'espai Cartesia 3D. Llavors, donada una acció, s'aplica l'Analisis de Components Principals (PCA) sobre les dades d'entrenament per tal d'aplicar reducció de dimensionalitat sobre les dades d'entrada altament correlacionades. Previament al pas d'entrenament del model d'acció, les seqüencies de moviment d'entrada són sincronitzades mitjançant un nou algoritme d'adaptació dens basat en Programació Dinamica. L'algoritme sincronitza totes les seqüencies de moviment d'una mateixa classe d'acció i és capa¡ de trobar una solució óptima en temps real.
Aleshores, s'apren un model d'acció probabilístic a partir dels exemples de movi¬ment sincronitzats que captura la variabilitat i l'evolució temporal del moviment del cos sencer durant una acció concreta. En particular, per cada acció, els parametres apresos són: una varietat representativa de l'acció que consisteix en l'execució mitjana de la mateixa, la desviació estandard de l'execució mitjana, els vectors de direcció mitjans de cada subseqüencia de moviment d'una llargada donada i l'error esperat en un instant de temps donat.
A continuació, s'utilitza el model específc per cada acció com a coneixement a priori sobre moviment huma que millora l'efciencia i robustesa de tot l'enfoc de seguiment basat en fltratge de partícules. En primer lloc, el model dinamic guia les partícules segons situacions similars apreses previament. A continuació, es restringeix l'espai d'estats per tal que tan sols les postures humanes més factibles siguin acceptades com a solucions valides a cada instant de temps. En conseqüencia, l'espai d'estats és explorat de manera més efcient ja que el conjunt de partícules cobreix les postures del cos més probables.
Finalment, es duen a terme experiments emprant seqüencies de test de varies bases de dades. Els resultats assenyalen que el nostre esquema de seguiment és capa d'estimar la confguració 3D aproximada d'un model de cos sencer, a partir tan sols de les posicions 2D d'un conjunt redult d'articulacions. També s'inclouen proves separades sobre el metode de sincronització de seqüencies i de la tecnica de comparació probabilística de les subseqüencies de moviment.
Recovering human motion by visual analysis is a challenging computer vision research area with a lot of potential applications. Model based tracking approaches, and in particular particle flters, formulate the problem as a Bayesian inference task whose aim is to sequentially estimate the distribution of the parameters of a human body model over time. These approaches strongly rely on good dynamical and observation models to predict and update confgurations of the human body according to mea surements from the image data. However, it is very difcult to design observation models which extract useful and reliable information from image sequences robustly. This results specially challenging in monocular tracking given that only one viewpoint from the scene is available. Therefore, to overcome these limitations strong motion priors are needed to guide the exploration of the state space.
The work presented in this Thesis is aimed to retrieve the 3D motion parameters of a human body model from incomplete and noisy measurements of a monocular image sequence. These measurements consist of the 2D positions of a reduced set of joints in the image plane. Towards this end, we present a novel action specifc model of human motion which is trained from several databases of real motion captured performances of an action, and is used as a priori knowledge within a particle fltering scheme.
Body postures are represented by means of a simple and compact stick fgure model which uses direction cosines to represent the direction of body limbs in the 3D Cartesian space. Then, for a given action, Principal Component Analysis is applied to the training data to perform dimensionality reduction over the highly correlated input data. Before the learning stage of the action model, the input motion performances are synchronized by means of a novel dense matching algorithm based on Dynamic Programming. The algorithm synchronizes all the motion sequences of the same action class, fnding an optimal solution in real time.
Then, a probabilistic action model is learnt, based on the synchronized motion examples, which captures the variability and temporal evolution of full body motion within a specifc action. In particular, for each action, the parameters learnt are: a representative manifold for the action consisting of its mean performance, the stan dard deviation from the mean performance, the mean observed direction vectors from each motion subsequence of a given length and the expected error at a given time instant.
Subsequently, the action specifc model is used as a priori knowledge on human motion which improves the efciency and robustness of the overall particle fltering tracking framework. First, the dynamic model guides the particles according to similar situations previously learnt. Then, the state space is constrained so only feasible human postures are accepted as valid solutions at each time step. As a result, the state space is explored more efciently as the particle set covers the most probable body postures.
Finally, experiments are carried out using test sequences from several motion databases. Results point out that our tracker scheme is able to estimate the rough 3D confguration of a full body model providing only the 2D positions of a reduced set of joints. Separate tests on the sequence synchronization method and the subsequence probabilistic matching technique are also provided.
Keywords: Human Motion Modeling; Particle fltering; Monocular Full Body 3D Tracking.
Topics: Image Processing; Computer Vision; Scene Understanding; Machine Intelligence; Machine Vision Applications; Video-Sequence Evaluation
Rudol, Piotr. "Increasing Autonomy of Unmanned Aircraft Systems Through the Use of Imaging Sensors." Licentiate thesis, Linköpings universitet, UASTECH – Teknologier för autonoma obemannade flygande farkoster, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71295.
Full textSundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.
Full textYu-HsiangChuang and 莊淯翔. "An Auto-Tuning Template Matching for Human Body Tracking." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/21856046528302829645.
Full text國立成功大學
資訊工程學系碩博士班
98
An auto-tuning template matching for human body tracking is proposed in this thesis. Auto-tuning is incorporated in template matching for our tracking system to evaluate scale change and some occlusion problems of human body. We use the color information to evaluate the most similar region, and to compute the variance between the current template and the reference template based on the concept of median absolute deviation (MAD). According to the variance, the scale of template will be automatically adjusted well. And, the variance is also a standard to evaluate the presence of occlusion. The experimental results show that the proposed tracking system is simple to be implemented and the performance is effective in estimating scale changes and the presence of occlusion.
Chang, Che-Wei, and 張哲瑋. "Identifying Human Body Motion by Color Tracking and Region." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/30021950310790490386.
Full text淡江大學
資訊工程學系碩士班
101
In recent years, using of Microsoft''s Kinect depth sensor to calculate the human skeleton is called depth skeleton detection. So the way of somatosensory detection can more diverse. Related researches are constantly raised and follow-up, and the action of the detection and analysis is also discussed. There are some motions cannot be detected by the skeleton from depth image, for example, foot-cross and lying will cause judgment failed. In order to improve this misjudgment, this thesis uses the centroid of the color regions to achieve the motion detection. Ensuring the tracking point is the skeleton of the body to achieve the color tracking and solving the problem of misjudgment and tracking. Let the skeleton be tracked correctly.
Andreikanich, Anna-Khrystyna. "Human body tracking and interactive applications for balance rehabilitation." Master's thesis, 2018. http://hdl.handle.net/10773/25883.
Full textNos últimos anos tem surgido no mercado um grande número de dispositivos de interacção, display e tracking adequados a aplicações de Realidade Virtual, a preços bastante acessíveis, que têm sido usados pela Indústria de Jogos; no entanto, a Realidade Virtual tem também grande potencial na área da Medicina de Reabilitação, podendo oferecer abordagens inovadoras no tratamento de pacientes que recuperam Acidentes Vasculares Cerebrais (AVCs) ou de lesões medulares. O principal objectivo deste trabalho consistiu no estudo da possibilidade de usar aplicações de Realidade Virtual para aumentar a motivação daqueles pacientes na realização continuada de exercícios necessários para a sua recuperação. Este trabalho foi realizado em colaboração com o Centro de Medicina de Reabilitação da Região Centro – Rovisco Pais. Estudaram-se os desafios que os seus médicos, terapeutas e pacientes enfrentam e desenvolveu-se um mini-jogo e adaptou-se um outro para ajudar na recuperação do equilíbrio daqueles pacientes que foi testado primeiro com participantes saudáveis e depois com pacientes. Foi ainda estudada a possibilidade de utilização do sensor Kinect v2 para análise de marcha.
Mestrado em Engenharia de Computadores e Telemática
Wang, Chung-Guan, and 王冠中. "Using body geometrical features to build a two-dimensional human body skeleton and its tracking." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/r27gjm.
Full text國立中興大學
電機工程學系所
107
This thesis proposes a new algorithm to track the two-dimensional shoulders and elbows of a human body using a monocular camera. Based on the located significant points of a human body, this thesis also online builds the skeleton of a human body. In the proposed method, a background is registered by frame difference, and then the foreground (human body) is segmented from the background. The contour of the human body are found by the chain code. The contour and different features proposed in previous studies are used to locate the head, hands, and feet. To locate the elbows, body skeleton is found using the four-point distance transform. The Arcelli-Baja algorithm is then applied to fix the intermittent skeleton. The elbows is localized on the curve connecting the palm and the shoulder based on the skeleton and body contour. In the elbow localization method, different rules are proposed depending different postures of the hand palm. The posture is divided into different cases depending the occupation condition of the palm with body, the position of the palm on the left or right side, and the relative positions of the shoulders and palms. To minimize the tracking error caused by some incorrectly localized elbows and smoothen the trajectory, the particle filter is applied to the localized elbows. Experiments in three videos with comparisons with different elbow tracking methods are performed to verify the effectiveness and accuracy of the proposed elbow tracking method.
Hsu, Chen-Yi, and 徐振益. "Particle Filter based Human Body Parts Tracking with Multi-directional Kinematic Models." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/46059080991548927184.
Full text國立成功大學
電腦與通信工程研究所
95
Human body parts tracking plays an important role in computer vision domain. This paper combines local shape context matching with particle filters and using a global constrain of multi-directional kinematic models to track human body parts. Given an input video, the moving object (MO) and its foreground silhouette (FS) are obtained separately by using background subtractions. During the initialization, three main body parts are assigned for both MO and FS first. Then, shape contexts are used to represent for each body part of MO and FS. While applying particle filtering, we found that the position of maximum posterior probability may not be the fittest body parts. By leading in the idea of human kinematics model, the tracked would be more accuracy. To increase the robustness, the skeleton approximating would be applied to track the position of knee and ankle furthermore. Our quantitative analysis of experimental results showed a good performance by using our proposed method.
Bajireanu, Roman. "Real-time human body detection and tracking for augmented reality mobile applications." Master's thesis, 2019. http://hdl.handle.net/10400.1/12821.
Full textWhen it comes to visitors at museums and heritage places, objects speak for themselves. Nevertheless, it is important to give visitors the best experience possible, this will lead to an increase in the visits number and enhance the perception and value of the organization. With the aim of enhancing a traditional museum visit, a mobile Augmented Reality (AR) framework is being developed as part of the Mobile Five Senses Augmented Reality (M5SAR) project. This thesis presents an initial approach to human shape detection and AR content superimposition in a mobile environment, achieved by combining information of human body joints with clothes overlapping methods. The present existing systems related to clothes overlapping, that allow the user to move freely, are based mainly in three-dimensional (3D) sensors (e.g., Kinect sensor (Erra et al., 2018)), making them far from being portable. The contribution of this thesis is to present a portable system that allows the user to move freely and does full body clothes overlapping. The OpenPose model (Kim, 2018; Solano, 2018) was used to compute the body joints and different approaches were used for clothes overlapping, while a person is moving in real environments. The first approach uses GrabCut algorithm (Rother et al., 2004) for person segmentation, allowing to fit clothes segments. A second approach uses a bi-dimensional (2D) skeletal animation tool to allow deformations on 2D textures according to the estimated poses. The third approach is similar to the previous, but uses 3D clothes models (volumes) to achieve a more realistic simulation of the process of clothes superimposition. Results and proof-of-concept are shown.
Kao, Chi-Chun, and 高啟鈞. "Tracking Human Body Motion by the Depth and Color in Video Captured Image." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/72215064165684256046.
Full text淡江大學
資訊工程學系碩士班
101
The common solution of human-computer interaction is used depth sensor to establish human skeleton, but the skeleton information will be incorrect in some action such as sitting posture, lying posture, and legs crossed. The first two posture that human body is too close with background object, the sensor cannot recognize human and background. The last one, leg crossed, because cannot recognize the relationship of crossing leg. When people in one of these three posture, the skeleton tracking will be failed. In this thesis, we focus on fixing the bug on legs crossed posture. To solve this problem, we proposes a depth image of the skeleton tracking, when a cross-leg, then the color images be used as an aid to re-establish the skeleton, so as to maintain the correct tracking results.
Wu, Chun-Hao, and 吳鈞豪. "Human Motion Tracking and Its Data Compression in Body-Area Inertial Sensor Networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12795347550000517363.
Full text國立交通大學
資訊科學與工程研究所
100
The advance of sensing technology and wireless communication has boosted body-area inertial sensor networks (BISNs), in which wireless wearable inertial sensor nodes are deployed on a human body to monitor its motion. Applications include medical care, pervasive video games, and affective computing. We conduct fundamental research into the technologies required to create an efficient wireless communication BISN that maximizes motion tracking accuracy and data collection efficiency. The first work addresses data collection issues in BISNs by data compression. We observe that, when body parts move, although sensor nodes in vicinity may compete strongly with each other, the transmitted data usually exists some levels of redundancy and even strong temporal and spatial correlations. Our scheme is specifically designed for BISNs, where nodes are likely fully connected and overhearing among sensor nodes is possible. We model the data compression problem for BISNs, where overhearing should be efficiently utilized, as a combinatorial optimization problem on overhearing graphs. We show its computational complexity and present efficient algorithms. We also discuss the design of the underlying MAC protocol to support our compression model. An experimental case study in Pilates exercises for patient rehabilitation is reported. The results show that our schemes reduce more than 70% of overall transmitted data compared with existing approaches. Based on the first work, where a node is allowed to overhear at most $\kappa = 1$ node's transmission, in the second work, we consider multi-spatial correlations by extending $\kappa = 1$ to $\kappa > 1$ and constructing a partial-ordering directed acyclic graph (DAG) to represent the compression dependencies among sensor nodes. While a minimum-cost tree for $\kappa = 1$ can be found in polynomial time, we show that finding a minimum-cost DAG is NP-hard even for $\kappa = 2$. We then propose an efficient heuristic and verify its performance by real sensing data. In addition to data collection, in the third work, we are interested in tracking human postures by deploying accelerometers on a human body. One fundamental issue in such scenarios is how to calculate the gravity. This is very challenging especially when the human body parts keep on moving. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity vector on that rigid part. However, how to find the optimal deployment of sensors that minimizes the estimation error of the gravity vector is not addressed. In this work, we formulate the deployment optimization problem and propose two heuristics, called Metropolis-based method and largest-inter-distance-based (LID-based) method. Simulation and real experimental results show that our schemes are quite effective in finding near-optimal solutions for a variety of rigid body geometries.
MISHRA, OM. "ACTIVITY RECOGNITION IN A VIDEO – A REAL TIME APPROACH." Thesis, 2011. http://dspace.dtu.ac.in:8080/jspui/handle/repository/13802.
Full textThe motivation behind this project is to develop software for tracking and recognizing the human activity major application in security, surveillance and vision analysis. The developed software must be capable of tracking the human body and recognizing its activity. The proposed method uses the approach for features extraction from the sequences of images. The method describes about the recognition of human activity with the help of change in energy produced by motion of the connected pixels in an image and then we used the support vector machine as the classifier. The proposed technique takes care of the real time implementation of the technique and in qualitative decision making both and shows better results. This technique is capable of understanding the activity. The statistical confidence is higher as compared to the previous techniques because the activity recognition is based upon the features of not just one organ but also on the dependent organs. This method works in real time and is inherently parallel.
李銘傑. "A Fast Phase Tracking Reference-Less All-Digital CDR Circuit for Human Body Channel Communication." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ax2r3z.
Full text國立中正大學
資訊工程研究所
105
As technology advances, the wearable personal entertainments and personal healthcare devices are booming. Traditionally, the medical healthcare devices such as electromyography (EMG) and electrocardiography (ECG) use the wireline to transfer the physiological signals, it leads to inconvenient for patients. Therefore, the wireless communication techniques are used to solve this problem. The common type of wireless body area network (WBAN) realization transmits data through the air, such as Bluetooth and ZigBee. However, they have relatively high power consumption and relatively low data rate. Therefore, the body channel communication (BCC) is proposed to solve this problem. The wireless communication transmits the data through the air, but the BCC uses the human body as the communication channel to transmit the data. Moreover, the BCC has relatively low signal attenuation and relatively few interferences in the nearby environment. Furthermore, the BCC can achieve a high data rate. In this thesis, a wideband signaling (WBS) transceiver is proposed. In transmitter part, the data are modulated by a non-return to zero inverted (NRZI) encoder with a bit stuffer. The data are transmitted in the packet format. In the receiver part, the proposed reference-less clock and data recovery circuit (CDR) can reduce the power consumption and circuit complexity. Moreover, the proposed phase error calculation method uses the multi-phase signals to quantize the phase error. The proposed method can enhance the CDR phase tracking ability and compensate for phase error quickly. The proposed automatically phase track gain calibration method can calculate the gain value for the all-digital CDR (ADCDR) controller. In different process, voltage and temperature (PVT) variations, the gain value will be automatically calibrated.
JAIN, MONEY. "ACTIVITY RECOGNITION USING FINITE ELEMENT METHOD." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14458.
Full textGonçalves, Afonso Rodrigues. "Fitness applications for healthy older adults using large projection displays: methodology, design, assessment, and field validation." Doctoral thesis, 2021. http://hdl.handle.net/10400.13/4095.
Full textDevido às baixas taxas de natalidade e ao aumento da esperança média de vida a população dos países desenvolvidos está a tornar-se envelhecida. Ao mesmo tempo, a falta de atividade física está identificada como um importante fator de risco para a saúde, com grande prevalência em idosos, que também experienciam as suas consequências com maior frequência. Os exergames para idosos são uma opção económica para a prevenção de sedentarismo e complemento do treino físico tradicional, que pode sofrer de baixa aderência e personalização. Estes jogos promovem níveis moderados de intensidade da atividade física e benefícios ao nível do fitness, saúde, equilíbrio, postura, mobilidade e motivação. No entanto, devido ao desconhecimento sobre as preferências de jogos e literacia tecnológica dos idosos, há desafios no desenho de exergames que se adequem às suas necessidades e motivações. Apesar de haver extensa investigação nesta área, existem lacunas críticas: a maior parte da investigação é feita em ambiente laboratorial, foca-se no equilíbrio e ignora os outros domínios motores, usa jogos comerciais que não foram desenhados para esta população e não explora os efeitos longitudinais dos exergames. Nesta tese, fazemos três contribuições, apresentadas de forma sequencial: 1) Desenvolvimento de tecnologia para a prática de exergaming pela população idosa, integrando interação corporal fácil de usar com projeções de grandes dimensões. Resultando num software para uso em sistemas de realidade virtual através de projeção de baixo custo, validado através de estudos com utilizadores e comparado com alternativas convencionais. 2) Uso da tecnologia e design de exergames feitos à medida para a promoção do fitness em idosos: a) Apreciação da capacidade de automação da avaliação do fitness através do uso de detetores de gestos, testando o seu desempenho no terreno com 22 utilizadores idosos. Resultando num sistema de elevada exatidão, consistente com os métodos tradicionais. b) Estudo das preferências de idosos na interação com projeções no solo, através do desenvolvimento e teste de dois interfaces naturais com 19 participantes idosos. Identificada uma preferência pelo interface controlado pelos pés através da avaliação de usabilidade, carga de trabalho sentida e indicadores de desempenho. c) Aplicação de metodologias de desenho centrado em humanos à gamificação de rotinas de treino físico através do foco na compreensão de inquéritos, baseados em sessões de jogo, aplicados para a melhoria e iteração dos mesmos. Resultando num conjunto de quatro exergames criados para treinar áreas críticas de fitness funcional em idosos. 3) Medição do desempenho motor, qualidade de vida e intensidade da atividade física de idosos durante treino longitudinal multidimensional combinando exergames feitos à medida com exercício tradicional de forma complementar. Alcançada através de um estudo randomizado controlado de 12 semanas, com sessões de exercício físico bissemanais por parte de 31 participantes idosos. Com medições de fitness, equilíbrio e qualidade de vida relacionada com a saúde medidas no início, durante e após a intervenção, e níveis de atividade física medidos em todas as sessões. Resultando num aumento significativo de força nos jogadores de exergames relativamente ao controlo e numa melhoria em ambos os grupos no equilíbrio e na componente mental da qualidade de vida, com uma melhoria maior por parte dos jogadores nesta última. Adicionalmente, registado um menor dispêndio energético, mas uma manutenção mais prolongada da intensidade da atividade física recomendada nas sessões de exergames. Os nossos resultados mostram que a integração de exergames personalizados, desenhados para o treino multidimensional de fitness, em ambientes tradicionais de treino podem efetivamente melhorar os ganhos de desempenho motor e bem-estar mental. Assim, esta tecnologia é uma opção económica viável para ser usada no contexto de programas de fitness para idosos.