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Relevant bibliographies by topics / Human body skeleton detection / Dissertations / Theses

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Dissertations / Theses on the topic 'Human body skeleton detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Smith, Patricia R. "The detection of haemoglobin in ancient human skeleton remains." Thesis, University of Essex, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235815.

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Feng, Weinan. "Multiple Human Body Detection in Crowds." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-12352.

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The objective of this project is to use digital imaging devices to monitor a delineated area of the public space and to register statistics about people moving across this area. A feasible detecting approach, which is based on background subtraction, has been developed and has been tested on 39 images. Individual pedestrians in images can be detected and counted. The approach is suitably used to detect and count pedestrians without overlapping. Accuracy rate of detection is higher than 80%.

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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.

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With the recent developments in Computer Vision and Pattern Recognition, surveillance applications are equipped with the capabilities of event/activity understanding and interpretation which usually require recognizing humans in real world scenes. Real world scenes such as airports, streets and train stations are complex because they involve many people, complicated occlusions and cluttered backgrounds. Although complex real world scenes exist, human detectors have the capability to locate pedestrians accurately even in complex scenes and visual trackers have the capability to track targets in

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Azhar, 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/.

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This thesis focuses on the development of a real-time and cost eﬀective marker-less computer vision method for significant body point or part detection (i.e., the head, arm, shoulder, knee, and feet), labelling and tracking, and its application to activity recognition. This work comprises of three parts: significantbody point detection and labelling, significant body point tracking, and activity recognition. Implicit body models are proposed based on human anthropometry, kinesiology, and human vision inspired criteria to detect and label significant body points. The key idea of the proposed me

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Abedan, 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.

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Due to the large influx of computers in our daily lives, human-computer interaction has become crucially important. For a long time, focusing on what users need has been critical for designing interaction methods. However, new perspective tends to extend this attitude to encompass how human desires, interests, and ambitions can be met and supported. This implies that the way we interact with computers should be revisited. Centralizing human values rather than user needs is of the utmost importance for providing new interaction techniques. These values drive our decisions and actions, and are e

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Smith, Jason Alan. "Naturalistic skeletal gesture movement and rendered gesture decoding." Diss., Online access via UMI:, 2006.

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7

Zhan, Wenjie, and Maowei Zheng. "From Body Parts Responses to Underwater Human Detection: A Deep Learning Approach." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20099.

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Context. Underwater human detection has been an important problem in computer vision areas. Body part-based models could gain good performance in on-land human detection with occlusion existing scenarios. This thesis explores the feasibility of human body parts detection in underwater environment. Objectives. This thesis aims to build a DNN-based underwater human body part detector for human body part detection task. Three body part detectors implemented with different DNN-based models (Faster R-CNN, SSD and YOLO) are built and compared over underwater human body part detection task. Methods.

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Fallah, 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.

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The objective of this thesis is to present an algorithm for processing infrared images and accomplishing automatic detection and path tracking of moving subjects with fever. The detection is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera and the temperature of the radiating object. These features are used for tracking the identified person with fever. The position of camera with respect to direction of motion the walkers appeared to be critical in this process. Infrared thermography is a remote sensing techn

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Liu, X. (Xin). "Human motion detection and gesture recognition using computer vision methods." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526222011.

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Abstract Gestures are present in most daily human activities and automatic gestures analysis is a significant topic with the goal of enabling the interaction between humans and computers as natural as the communication between humans. From a computer vision perspective, a gesture analysis system is typically composed of two stages, the low-level stage for human motion detection and the high-level stage for understanding human gestures. Therefore, this thesis contributes to the research on gesture analysis from two aspects, 1) Detection: human motion segmentation from video sequences, and 2) Un

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Levinrad, Ester. "“The weight of my skeleton is my only honesty” : language and the speaking body in Marlene van Niekerk’s Agaat." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4369.

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Thesis (MA (English))--University of Stellenbosch, 2010.<br>ENGLISH ABSTRACT: This thesis proposes a detailed study of the novel Agaat by South African author Marlene van Niekerk (first published 2004). A particular focus throughout is on constructions of identity and subjectivity, and the novel is considered as writing within and against both the Realist tradition as well as the South African genre of the plaasroman and/or farm novel. The translation of the novel into English by Michiel Heyns (published 2006) is used as primary text, which furthermore raises questions of language and int

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Ng, Chi Wing. "Detection of sodium and potassium in single human erythrocytes by laser-induced plasma spectroscopy : instrumentation and feasibility demonstration." HKBU Institutional Repository, 1999. http://repository.hkbu.edu.hk/etd_ra/173.

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DeChant, Mallory. "The Effects of Climate, Psychological, and Physical Stressors on Human Remains Detection Canines." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2276.

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Ten canines were utilized in a repeated design to examine the effects of stress associated with work on activity expenditure, core body temperature, and salivary cortisol. However, only eight canines had valid data results due to the ninth canine having a metabolic syndrome that was not diagnosed. The tenth canine was removed from the study prior to initiation of the search scenario due to aggression. The objective was to observe the impact of stressors associated with work on activity expenditure, core body temperature, and salivary cortisol in human remains detection canines. Nine canines we

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Twyman, Nathan W. "Automated Human Screening for Detecting Concealed Knowledge." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/222874.

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Screening individuals for concealed knowledge has traditionally been the purview of professional interrogators investigating a crime. But the ability to detect when a person is hiding important information would be of high value to many other fields and functions. This dissertation proposes design principles for and reports on an implementation and empirical evaluation of a non-invasive, automated system for human screening. The screening system design (termed an automated screening kiosk or ASK) is patterned after a standard interviewing method called the Concealed Information Test (CIT), whi

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Eatinger, Ryan Joseph. "Built-in self-test in integrated circuits - ESD event mitigation and detection." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/13538.

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Master of Science<br>Department of Electrical Engineering<br>William Kuhn<br>When enough charges accumulate on two objects, the air dielectric between them breaks down to create a phenomenon known as electrostatic discharge (ESD). ESD is of great concern in the integrated circuit industry because of the damage it can cause to ICs. The problem will only become worse as process components become smaller. The three main types of ESD experienced by an IC are the human body model (HBM), the charged device model (CDM), and the machine model (MM). HBM ESD has the highest voltage while CDM ESD has th

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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.

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Kong, Longbo. "Accurate Joint Detection from Depth Videos towards Pose Analysis." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157524/.

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Joint detection is vital for characterizing human pose and serves as a foundation for a wide range of computer vision applications such as physical training, health care, entertainment. This dissertation proposed two methods to detect joints in the human body for pose analysis. The first method detects joints by combining body model and automatic feature points detection together. The human body model maps the detected extreme points to the corresponding body parts of the model and detects the position of implicit joints. The dominant joints are detected after implicit joints and extreme point

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Basharat, 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.

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In this dissertation, we address the problem of understanding human activities in videos by developing a two-pronged approach: coarse level modeling of scene activities and fine level modeling of individual activities. At the coarse level, where the resolution of the video is low, we rely on person tracks. At the fine level, richer features are available to identify different parts of the human body, therefore we rely on the body joint tracks. There are three main goals of this dissertation: (1) identify unusual activities at the coarse level, (2) recognize different activities at the fine lev

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Plačko, Michal. "Sledování lidské postavy ve videosekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220561.

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This thesis deals with human body detection and gestures tracking in videosequences. First, processing of videosequences in general is described. Further, different methods of human body detection are described and represented by significant papers. The most of the attention is focused on detection by real AdaBoost algorithm based on Haar-like features and Edgelet features. The practical part starts with selection of method that is implemented in this thesis. This method is detection by real AdaBoost based on Haar-like features. Further, different options of videosequence processing in JAVA ar

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Gurrapu, Chaitanya. "Human Action Recognition In Video Data For Surveillance Applications." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15878/1/Chaitanya_Gurrapu_Thesis.pdf.

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Detecting human actions using a camera has many possible applications in the security industry. When a human performs an action, his/her body goes through a signature sequence of poses. To detect these pose changes and hence the activities performed, a pattern recogniser needs to be built into the video system. Due to the temporal nature of the patterns, Hidden Markov Models (HMM), used extensively in speech recognition, were investigated. Initially a gesture recognition system was built using novel features. These features were obtained by approximating the contour of the foreground object wi

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Gurrapu, Chaitanya. "Human Action Recognition In Video Data For Surveillance Applications." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15878/.

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Detecting human actions using a camera has many possible applications in the security industry. When a human performs an action, his/her body goes through a signature sequence of poses. To detect these pose changes and hence the activities performed, a pattern recogniser needs to be built into the video system. Due to the temporal nature of the patterns, Hidden Markov Models (HMM), used extensively in speech recognition, were investigated. Initially a gesture recognition system was built using novel features. These features were obtained by approximating the contour of the foreground object wi

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D'AMATO, VINCENZO STEFANO. "Deep Multi Temporal Scale Networks for Human Motion Analysis." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104759.

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The movement of human beings appears to respond to a complex motor system that contains signals at different hierarchical levels. For example, an action such as ``grasping a glass on a table'' represents a high-level action, but to perform this task, the body needs several motor inputs that include the activation of different joints of the body (shoulder, arm, hand, fingers, etc.). Each of these different joints/muscles have a different size, responsiveness, and precision with a complex non-linearly stratified temporal dimension where every muscle has its temporal scale. Parts such as the

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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.

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The range of missions performed by Unmanned Aircraft Systems (UAS) has been steadily growing in the past decades thanks to continued development in several disciplines. The goal of increasing the autonomy of UAS's is widening the range of tasks which can be carried out without, or with minimal, external help. This thesis presents methods for increasing specific aspects of autonomy of UAS's operating both in outdoor and indoor environments where cameras are used as the primary sensors. First, a method for fusing color and thermal images for object detection, geolocation and tracking for UAS's o

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Wåhlin, Peter. "Enhanching the Human-Team Awareness of a Robot." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16371.

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The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human team

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Manokhin, Mikhail. "Towards flexible and low-power wireless smart sensors : reconfigurable analog-to-feature converter for healthcare applications." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT049.

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La croissance démographique et le vieillissement actuels augmentent le taux de maladies chroniques, principale cause mondiale de décès. Les réseaux corporels sans fil (WBANs), composés de capteurs intelligents portables ou implantables, sont la principale solution pour les systèmes de soins de santé proactifs réduisant le fardeau de ces maladies. Or, ces réseaux sont limités en termes de consommation d'énergie et de débit de données, surtout dans le cas des capteurs biopotentiels et inertiels avec une acquisition continue des signaux. La réduction de la quantité de données collectées et envoyé

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Aimé, Pascaline. "Étude de la modulation de la détection olfactive par les états alimentaires et métaboliques." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00711645.

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Le système olfactif partage de nombreux liens moléculaires, neuroanatomiques et fonctionnels avec le système de régulation de l'homéostasie énergétique. L'exploration de ces interactions nous a conduit à démontrer que la détection olfactive est modulée par les états alimentaires et métaboliques : des animaux affamés présentent une meilleure sensibilité olfactive que des animaux rassasiés. Cette modulation persiste chez les rats Zucker fa/fa obèses et disparaît chez les rats LouC résistants à l'obésité. Les hormones et les neuropeptides impliqués dans la régulation de l'homéostasie énergétique

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Moore, Megan K. "Body Mass Estimation from the Human Skeleton." 2008. http://trace.tennessee.edu/utk_graddiss/365.

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The established methods for estimating average body mass from the skeleton are of two types: biomechanical and morphometric. Neither technique currently addresses the extremes of body mass (e.g. emaciation or obesity). The goal of this research is to explore several different biomechanical methods, using data collected from high resolution computed tomographic scans and macroscopic analysis of 150 known modern individuals from the William M. Bass Donated Skeleton Collection at the University of Tennessee, Knoxville. This research will review the biomechanics of human gait and the biomechanical

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Su, Guan Rong, and 蘇冠榮. "Interactive Performance Using Wearable Devices: Body Skeleton Detection Technology and Innovative Applications." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/mp648k.

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碩士<br>國立政治大學<br>資訊科學系碩士在職專班<br>104<br>Recently, human body skeleton detection technology and its applications are becoming more popular. Many computer games and movies detect human body skeleton by cameras. However, the detection will be affected easily by sun light or obstacles. Especially, this is not suitable for the applications on stage performance. The goal of this thesis is to design wearable devices to detect body skeleton and uses BLE 4.0 for data transmission to interactively real time art perform. We put 6-axis motion detector on Arduino to develop the wearable device prototyping. T

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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.

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碩士<br>國立中興大學<br>電機工程學系所<br>107<br>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 loca

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Chien, Duong Duy, and 楊惟戰. "Real-Time Human Skeleton Detection, Fusion, and Tracking via Multiple Cameras." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/crpq65.

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碩士<br>國立中正大學<br>電機工程研究所<br>106<br>Recently with the development of accurate and inexpensive RGBD cameras, lots of the tracking systems with marker-free based have been developed. The human skeleton tracking is difficult because of 3D dynamic movements and a self-occlusion body problem. In this research, the proposed 3600 real-time system leverages multiple Kinect v2 to overcome the occlusion and discontinuously joints position. However, this system arises a new problem known as data fusion. On the other hand, skeleton detection results given by a Kinect Software Development Kit are not robust

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Lai, Ching-Hua, and 賴慶樺. "Human Body Posture Detection and Training System." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/6rb93d.

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碩士<br>國立雲林科技大學<br>電子工程系<br>103<br>The aim of this study applies image processing to develop an automatic non-radiative human body posture detection and training system, which can improve bad postures of users. The human body can be separated from the background image with Histogram of Oriented Gradients and Support Vector Machines. Each part of the human body can be identified by skin color detection. The application of Laplacian filter and Canny edge detection can characterize the parts of human body. To measure and evaluate the body condition, we adopt the template matching and the proposed

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Tsai, Chuan-Hao, and 蔡均浩. "The Research of Human Body Posture Detection Model." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/60282000010668438364.

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碩士<br>元智大學<br>資訊工程學系<br>104<br>In this study, Kinect combined processing programming language, designed to establish a somatosensory interface detection model of human posture. User when in motion, you can get to understand their posture state parameter, related to the implementation of human motion to be helpful. In medical terms, through this model helps patients through proper rehabilitation posture, speed up the body's recovery. In the somatosensory game design, through this model, we can test out the game for that kind of action to run, increase the game's playability, but also make the g

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Barbosa, Patrícia Margarida Silva de Castro Neves. "Human features detection in video surveillance." Master's thesis, 2016. http://hdl.handle.net/1822/46590.

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores<br>Human activity recognition algorithms have been studied actively from decades using a sequence of 2D and 3D images from a video surveillance. This new surveillance solutions and the areas of image processing and analysis have been receiving special attention and interest from the scientific community. Thus, it became possible to witness the appearance of new video compression techniques, the transmission of audio and video in real-time, targeting identification and tracking objects in with complex envi

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Huang, Hua-Wei, and 黃華偉. "An Early Wearout Detection Method for Human Body Signal." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/14733986670220261371.

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Chiu, Hsin-Wei, and 邱信瑋. "Collision Detection of 3D Animation Model for Human Body." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/93189304695329330386.

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碩士<br>銘傳大學<br>資訊傳播工程學系碩士班<br>101<br>The collision detection of the human body is our focus in this thesis. There are two boundaries of the squared and sphere in the original collision detection. And we add the new boundary which it called the bounding cylinder. The original model could be produced the bounding cylinder automatically and it could join the original model. When the model moved, the bounding cylinder could be moved with the model. It could execute the collision detection easily. At the same time, we provide the new collision detection which used the bounding cylinder of the model.

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Calce, Stephanie Elizabeth. "Osteoarthritis of the human skeleton: an evaluation of age, activity, and body size in load-bearing joint regions." Thesis, 2016. http://hdl.handle.net/1828/7223.

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Osteoarthritis (OA) is the most common joint disease in human populations with onset and severity influenced by mechanical loading, aging effects, genetics, anatomy, and body mass. Despite major advancements in knowledge, the aetiopathogenesis of OA is complex and still poorly understood. Lack of standardization in methods to quantify skeletal OA make it difficult to study the effects of interacting explanatory variables on arthritic response, and prevents comparison of results between bioarchaeological studies. Joint changes of OA as a function of both the natural aging process and of mechani

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Wang, Yao-Sheng, and 王耀笙. "Bottom-up Pose Invariant Human Detection with Mutually Compatible Body Part Configuration." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/71791496229021363803.

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碩士<br>國立交通大學<br>電子工程學系電子研究所<br>102<br>In this thesis, we focus on the detection of human with arbitrary poses in different view-points in static images. To handle this issue, recently representative works need to produce lots of detectors to cover the cases of human with arbitrary poses in different view-points. In this way, the computation cost will be increased exponentially. To prevent this dilemma, we restrict body parts for detection to be limb, head, face or torso, which have high probability to be observed in arbitrary poses and view-points. Compared to related works in the literature,

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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.

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Hoje em dia, cada vez mais experiências culturais são melhoradas tendo por base aplicações móveis, incluindo aqueles que usam Realidade Aumentada (RA). Estas aplicações têm crescido em número de utilizadores, em muito suportadas no aumento do poder de cálculo dos processadores mais recentes, na popularidade dos dispositivos móveis (com câmaras de alta definição e sistemas de posicionamento global – GPS), e na massificação da disponibilidade de conexões de internet. Tendo este contexto em mente, o projeto Mobile Five Senses Augmented Reality System for Museums (M5SAR) visa desenvolver um

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Fontenete, Sílvia Marisa Janeiro. "Towards the development of detection methods for helicobacter pylori within the human body." Doctoral thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/85949.

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Fontenete, Sílvia Marisa Janeiro. "Towards the development of detection methods for helicobacter pylori within the human body." Tese, 2015. https://repositorio-aberto.up.pt/handle/10216/85949.

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Green, Rebecca T. "The classification of human bone using x-ray fluorescence." 1985. http://hdl.handle.net/2097/27446.

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Lin, Ping-Min, and 林秉旻. "A real-time fall detection system using human body contours information and kNN classifier." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/17980118041306113240.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>96<br>In the province of Human Computer Interaction, monitor system is an important study. As long as the situation of aging society becomes more and more serious, the care costs will increase plenty. That is the reason so many domestic and foreign scholars throw themselves into the research of elderly care monitor system in order to support the existing care system and reduce the huge expenditures of labor costs. This research used and integrated the human face detection system developed by our laboratory to get the characteristics of the human body and track that.

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Du, Shih-Huai, and 杜世懷. "A Neuro-Fuzzy Approach to Detection of Human Face and Body for MPEG Video Compression." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/06796222400390784842.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>89<br>For some new multimedia applications using Mpeg-4 or Mpeg-7 video coding standards, it is important to find the main objects in a video frame. In this thesis, we propose a neuro-fuzzy modeling approach to the detection of human face and body. Firstly, a fuzzy clustering technique is performed to segment a video frame into clusters to generating several fuzzy rules. Secondly, chrominance and motion features are used to roughly classify the clusters into foreground and background, respectively. Finally, the fuzzy rules are refined by a fuzzy neural network, and

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Kibbanahalli, Shivalingappa Marulasidda Swamy. "Real-time human action and gesture recognition using skeleton joints information towards medical applications." Thesis, 2020. http://hdl.handle.net/1866/24320.

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Des efforts importants ont été faits pour améliorer la précision de la détection des actions humaines à l’aide des articulations du squelette. Déterminer les actions dans un environnement bruyant reste une tâche difficile, car les coordonnées cartésiennes des articulations du squelette fournies par la caméra de détection à profondeur dépendent de la position de la caméra et de la position du squelette. Dans certaines applications d’interaction homme-machine, la position du squelette et la position de la caméra ne cessent de changer. La méthode proposée recommande d’utiliser des valeurs de posi

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Lacoste, Jeanson Alizé. ""Návrat svalů a tuku zpět na kosti": 3D analýza vlivu tělesné kompozice a hmotnosti na kostní architekturu." Doctoral thesis, 2018. http://www.nusl.cz/ntk/nusl-390392.

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Univerzita Karlova Přírodovědecká fakulta Antropologie a Genetika člověka Alizé Lacoste Jeanson, M.Sc. "NÁVRAT SVALŮ A TUKU ZPĚT NA KOSTI": 3D ANALÝZA VLIVU TĚLESNÉ KOMPOZICE A HMOTNOSTI NA KOSTNÍ ARCHITEKTURU "PUTTING FLESH AND FAT BACK ONTO THE BONES": A 3D ANALYSIS OF THE INFLUENCE OF BODY COMPOSITION AND MASS ON BONE ARCHITECTURE Disertačnn prace Doctoral thesis Školitel Supervisor: Prof. RNDr. Jaroslav Brůžek, CSc, PhD, HDR Praha, 2018 Prague, 2018 Charles University Faculty of Science Department of Anthropology and Human Genetics Abstract The understanding of biomechanics is es

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Asogwa, Clement Ogugua. "An intrabody signal propagation study for human body hydration." Thesis, 2016. https://vuir.vu.edu.au/33261/.

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Human body composition refers to the relative proportions of fat, bone, water, muscle and minerals in the body. Adequate proportions of these are a primary requirement for healthy living. Measurement of body composition is important for medical diagnosis and for understanding the physiological proportions of body tissues for physical fitness and exercise performance. Studies in human body hydration, as an example, provides the information necessary to understand the desired fluid levels for optimal performance of the body's physiological and metabolic processes during exercise and activitie

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Silva, João Pedro Borges Araújo Oliveira. "Development of human body pose detection algorithms for in-car scenario, and validation with suitable ground-truth system." Doctoral thesis, 2020. http://hdl.handle.net/1822/75969.

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Doctoral Thesis in Electronics and Computers Engineering<br>Automated driving cars are emerging, increasing the need for advanced occupant monitoring applications. A transversal need for such systems is the detection of the occupants’ posture. Discriminative approaches have received increased focus in the past decade, due to its automated detection and the growth in Machine Learning (ML) applications and frameworks. One of its downsides is the need for a large dataset to train, to achieve high accuracy. To allow a robust algorithmic training and validation, an algorithmic development pipe

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Ni, Wei-En, and 倪偉恩. "Two Camera-based 3D Human Body Model Construction and Hierarchical Fuzzy Classifiers for Posture Recognition and Fall Detection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6f8g34.

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Chang, Miao-Han, and 昌妙韓. "Off-Bed Model and Sensing Detection System for Human Body Using the Back-Propagation Neural Network Algorithm: Design and Implementation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/60606134593793467642.

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碩士<br>國立屏東科技大學<br>資訊管理系所<br>102<br>As the populace of elderly is growing quickly, the healthcare system based the state-of-the-art ICT technology is more and more important. According to the statistics of Department of Health Executive Yuan, falling-down accident is the second place of elder accident injury. In addition, there are 30% people, who will fall down in the hospital. Most falls occur at the time points of out off the bed and get on the bed in the hospital. At before, although the hospital provided the emergent bell beside the bed for emergency calls, there are few patients using the

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Skalová, Tereza. "Detekce znaků únavy ve vybraných funkčních testech u zdravé populace systémem OpenPose." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-447259.

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Title: Detection of Signs of Fatigue in Functional Tests in Healthy Population by OpenPose Objectives: The aim of this study is if the OpenPose system can detect changes in range of motion and unwanted movements of other segments in repetitive a full arm abduction test with weight and a single leg stance based on comparation of changes in angles and relative distances between first and last seconds of the movement. Methods: This pilot study was dedicated to healthy people between 18 and 65 years. A video recording was made within an intervention while subjects were doing a full arm abduction t

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