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Dissertations / Theses on the topic 'Body recognition'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Puranam, Muthukumar B. "Towards Full-Body Gesture Analysis and Recognition." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_theses/227.

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With computers being embedded in every walk of our life, there is an increasing demand forintuitive devices for human-computer interaction. As human beings use gestures as importantmeans of communication, devices based on gesture recognition systems will be effective for humaninteraction with computers. However, it is very important to keep such a system as non-intrusive aspossible, to reduce the limitations of interactions. Designing such non-intrusive, intuitive, camerabasedreal-time gesture recognition system has been an active area of research research in the fieldof computer vision.Gestur

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2

Oberst, Leah. "Facial and Body Emotion Recognition in Infancy." UKnowledge, 2014. http://uknowledge.uky.edu/psychology_etds/48.

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Adults are experts at assessing emotions, an ability essential for appropriate social interaction. The present study, investigated this ability’s development, examining infants’ matching of facial and body emotional information. In Experiment 1, 18 6.5-month-olds were familiarized to angry or happy bodies or faces. Those familiarized to bodies were tested with familiar and novel emotional faces. Those habituated to faces were tested with bodies. The 6.5-month-old infants exhibited a preference for the familiar emotion, matching between faces and bodies. In Experiment 2, 18 6.5-month-olds were

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Hock, Alyson J. "THE WHOLE PICTURE: BODY POSTURE RECOGNITION IN INFANCY." UKnowledge, 2013. http://uknowledge.uky.edu/psychology_etds/35.

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Holistic image processing is tied to expertise and is characteristic of face and body processing by adults. Infants process faces holistically, but it is unknown whether infants process body information holistically. In the present study, we examined whether infants discriminate changes in body posture holistically. Body posture is an important nonverbal cue that signals emotion, intention, and goals of others even from a distance. In the current study, infants were tested for discrimination between body postures that differ in limb orientations in three conditions: in the context of the whole

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4

Song, Yale. "Multi-signal gesture recognition using body and hand poses." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62429.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 147-154).<br>We present a vision-based multi-signal gesture recognition system that integrates information from body and hand poses. Unlike previous approaches to gesture recognition, which concentrated mainly on making it a signal signal, our system allows a richer gesture vocabulary and more natural human-computer interaction. The system consists of three parts: 3D body pose estimation, hand pose

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Mathi, Krishna Chaithanya. "Augment HoloLens’ Body Recognition and Tracking Capabilities Using Kinect." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1484670493776915.

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6

Hammerla, Nils Yannick. "Activity recognition in naturalistic environments using body-worn sensors." Thesis, University of Newcastle upon Tyne, 2015. http://hdl.handle.net/10443/2777.

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The research presented in this thesis investigates how deep learning and feature learning can address challenges that arise for activity recognition systems in naturalistic, ecologically valid surroundings such as the private home. One of the main aims of ubiquitous computing is the development of automated recognition systems for human activities and behaviour that are sufficiently robust to be deployed in realistic, in-the-wild environments. In most cases, the targeted application scenarios are people’s daily lives, where systems have to abide by practical usability and privacy constraints.

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7

Junker, Holger. "Human activity recognition and gesture spotting with body-worn sensors /." Konstanz : Hartung-Gorre, 2005. http://www.loc.gov/catdir/toc/fy0608/2006356170.html.

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8

Renna, 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.

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Les robots sont des agents artificiels qui peuvent agir dans le monde des humains grâce aux capacités de perception. Dans un contexte d'interaction homme-robot, les humains et les robots partagent le même espace de communication. En effet, les robots compagnons sont censés communiquer avec les humains d'une manière naturelle et intuitive: l'une des façons les plus naturelles est basée sur les gestes et les mouvements réactifs du corps. Pour rendre cette interaction la plus conviviale possible, un robot compagnon doit, donc, être doté d'une ou plusieurs capacités lui permettant de percevoir, de

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9

Renna, Ilaria. "Upper body tracking and Gesture recognition for Human-Machine Interaction." Paris 6, 2012. http://www.theses.fr/2012PA066119.

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Les robots sont des agents artificiels qui peuvent agir dans le monde des humains grâce aux capacités de perception. Dans un contexte d’interaction homme-robot, les humains et les robots partagent le même espace de communication. En effet, les robots compagnons sont censés communiquer avec les humains d’une manière naturelle et intuitive: l’une des façons les plus naturelles est basée sur les gestes et les mouvements réactifs du corps. Pour rendre cette interaction la plus conviviale possible, un robot compagnon doit, donc, être doté d’une ou plusieurs capacités lui permettant de percevoir, de

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10

Chu, Cheng-Tse. "Robust Upper Body Pose Recognition in Unconstrained Environments Using Haar-Disparity." Thesis, University of Canterbury. Computer Science and Software Engineering, 2008. http://hdl.handle.net/10092/2165.

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In this research, an approach is proposed for the robust tracking of upper body movement in unconstrained environments by using a Haar- Disparity algorithm together with a novel 2D silhouette projection algorithm. A cascade of boosted Haar classifiers is used to identify human faces in video images, where a disparity map is then used to establish the 3D locations of detected faces. Based on this information, anthropometric constraints are used to define a semi-spherical interaction space for upper body poses. This constrained region serves the purpose of pruning the search space as well as val

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11

Kleinsmith, A. L. "Grounding affect recognition on a low-level description of body posture." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20228/.

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The research presented in this thesis is centred in the rapidly growing field of affective computing and focuses on the automatic recognition of affect. Numerous diverse technologies have become part of working and social life, hence it is crucial to understand whether recognising the affective state of the user may be added to increase the technologies' effectiveness. The contributions made are the investigation of a low-level description of body posture, the proposal of a method for creating benchmarks for evaluating affective posture recognition models, and providing an understanding of how

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12

Heck, Alison, Alyson Chroust, Hannah White, Rachel Jubran, and Ramesh S. Bhatt. "Development of Body Emotion Perception in Infancy: From Discrimination to Recognition." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/2730.

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Research suggests that infants progress from discrimination to recognition of emotions in faces during the first half year of life. It is whether the perception of emotions from bodies develops in a similar manner. In the current study, when presented with happy and angry body videos and voices, 5-month-olds looked longer at the matching video when they were presented upright but not when they were inverted. In contrast, 3.5-month-olds failed to match even with upright videos. Thus, 5-month-olds but not 3.5-month-olds exhibited evidence of recognition of emotions from bodies by demonstrating i

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13

Milbrodt, Teresa. "BEWARE THE BEARDED WOMAN: FREAKS, THE FEMALE BODY, AND NON-RECOGNITION." Bowling Green State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1151132318.

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14

Collins, Matthew. "An investigation into full body gender recognition in images and video." Thesis, Queen's University Belfast, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.695303.

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Gender classification at an intermediate distance is a very important and challenging topic in video surveillance. Though quite a substantial body of work exists on gender classification from faces and from gait with clean background, little work has been done on gender profiling on full human body from static images with complex background. To attack this problem, it is felt that one of the key issues is the building of robust feature representations. This thesis presents compelling feature representations which extract cues such as body shape and appearance from static pedestrian images and

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15

Miller, Angela Nicole Roberts. "The Role of Body Mass Index and its Covariates in Emotion Recognition." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1373004349.

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16

Pilz, Karin S. "The role of facial and body motion for the recognition of identity." Berlin Logos-Verl, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=2972253&prov=M&dok_var=1&dok_ext=htm.

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Miller, Angela Nicole Roberts. "The role of body mass index and its covariates in emotion recognition." Thesis, Kent State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3618863.

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<p> Obesity is a chronic and debilitating medical condition that results from a complex mix of genetic, physiological, psychological, and social factors. Despite a recognized consensus regarding the complexity of obesity, little is known about how various demographic, medical, and cognitive performance variables interact in this population, especially in relation to factors which may contribute to the maintenance of obesity over time. Research has supported that one key aspect of this process is eating in response to psychological rather than physiological cues. Given the increased prevalence

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18

Brown, Dane. "Faster upper body pose recognition and estimation using compute unified device architecture." Thesis, University of Western Cape, 2013. http://hdl.handle.net/11394/3455.

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>Magister Scientiae - MSc<br>The SASL project is in the process of developing a machine translation system that can translate fully-fledged phrases between SASL and English in real-time. To-date, several systems have been developed by the project focusing on facial expression, hand shape, hand motion, hand orientation and hand location recognition and estimation. Achmed developed a highly accurate upper body pose recognition and estimation system. The system is capable of recognizing and estimating the location of the arms from a twodimensional video captured from a monocular view at an a

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19

Zhao, Yisu. "Human Emotion Recognition from Body Language of the Head using Soft Computing Techniques." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23468.

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When people interact with each other, they not only listen to what the other says, they react to facial expressions, gaze direction, and head movement. Human-computer interaction would be enhanced in a friendly and non-intrusive way if computers could understand and respond to users’ body language in the same way. This thesis aims to investigate new methods for human computer interaction by combining information from the body language of the head to recognize the emotional and cognitive states. We concentrated on the integration of facial expression, eye gaze and head movement using soft com

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20

Nardi, Paolo. "Human Activity Recognition : Deep learning techniques for an upper body exercise classification system." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19410.

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Most research behind the use of Machine Learning models in the field of Human Activity Recognition focuses mainly on the classification of daily human activities and aerobic exercises. In this study, we focus on the use of 1 accelerometer and 2 gyroscope sensors to build a Deep Learning classifier to recognise 5 different strength exercises, as well as a null class. The strength exercises tested in this research are as followed: Bench press, bent row, deadlift, lateral rises and overhead press. The null class contains recordings of daily activities, such as sitting or walking around the house.

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21

Zhang, Yang. "Intelligent emotion recognition from facial and whole-body expressions using adaptive ensemble models." Thesis, Northumbria University, 2015. http://nrl.northumbria.ac.uk/23588/.

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Automatic emotion recognition has been widely studied and applied to various computer vision tasks (e.g. health monitoring, driver state surveillance, personalized learning, and security monitoring). With the great potential provided by current advanced 3D scanners technology (e.g. the Kinect), we shed light on robust emotion recognition based one users’ facial and whole-body expressions. As revealed by recent psychological and behavioral research, facial expressions are good in communicating categorical emotions (e.g. happy, sad, surprise, etc.), while bodily expressions could contribute more

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22

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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23

Lövdahl, Paul. "Towards DNA-Bodies : A Novel Polymer Structure for Biological Recognition." Thesis, Linnaeus University, School of Natural Sciences, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6187.

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<p><p>There are different kinds of recognition molecules that specifically can detect and bind target molecules. Antibodies, with their two light and two heavy chains can detect and bind any kind of antigens. Molecular imprinting is a technology to prepare specific polymers that selectively bind target molecules. The technology has received wide attention in recent years because it provides a viable method for creating a polymer that is complementary in shape and binding sites to a template. The synthesized polymer is called a molecularly imprinted polymer (MIP) or a plastibody. Molecular impr

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Achmed, Imran. "Upper body pose recognition and estimation towards the translation of South African sign language." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2493_1304504127.

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<p>Recognising and estimating gestures is a fundamental aspect towards translating from a sign language to a spoken language. It is a challenging problem and at the same time, a growing phenomenon in Computer Vision. This thesis presents two approaches, an example-based and a learning-based approach, for performing integrated detection, segmentation and 3D estimation of the human upper body from a single camera view. It investigates whether an upper body pose can be estimated from a database of exemplars with labelled poses. It also investigates whether an upper body pose can be estimated usin

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Kunze, Kai [Verfasser], and Paul [Akademischer Betreuer] Lukowicz. "Compensating for On-Body Placement Effects in Activity Recognition / Kai Kunze. Betreuer: Paul Lukowicz." Passau : Universitätsbibliothek der Universität Passau, 2012. http://d-nb.info/1020744057/34.

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Broomé, Sofia. "Objectively recognizing human activity in body-worn sensor data with (more or less) deep neural networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210243.

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This thesis concerns the application of different artificial neural network architectures on the classification of multivariate accelerometer time series data into activity classes such as sitting, lying down, running, or walking. There is a strong correlation between increased health risks in children and their amount of daily screen time (as reported in questionnaires). The dependency is not clearly understood, as there are no such dependencies reported when the sedentary (idle) time is measured objectively. Consequently, there is an interest from the medical side to be able to perform such

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Larsson, Pernilla. "Discerning Emotion Through Movement : A study of body language in portraying emotion in animation." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-16807.

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Animators are so often taught more about how to perfect their animations than toconsider what it is that makes the animation come alive. They work away withprinciples and physics, sometimes completely overlooking a characterscommunication tools. The following thesis is a study of emotive expressive bodylanguage and its purpose in animation. The project studies various angles of bodylanguage, in an attempt at summarizing key features that could work as guidelinesfor animators in the future. It deals with the role of body language in animation andwhy it is necessary for a more realistic feel in

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Thomas, Kim. "The Effects of Upward and Downward Comparison on a Subsequent Emotion Recognition Task." Cleveland State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1368142615.

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Bertuccioli, Cristian. "Riconoscimento di gesti: estensione a più punti del corpo e ad attori multipli." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3919/.

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Negli ultimi anni si è assistito ad una radicale rivoluzione nell’ambito dei dispositivi di interazione uomo-macchina. Da dispositivi tradizionali come il mouse o la tastiera si è passati allo sviluppo di nuovi sistemi capaci di riconoscere i movimenti compiuti dall’utente (interfacce basate sulla visione o sull’uso di accelerometri) o rilevare il contatto (interfacce di tipo touch). Questi sistemi sono nati con lo scopo di fornire maggiore naturalezza alla comunicazione uomo-macchina. Le nuove interfacce sono molto più espressive di quelle tradizionali poiché sfruttano le capacità

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Marangoni, Matthew J. "Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1369256636.

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Muir, Karin. "A Comparison of the Recognition of Facial Emotion in Women of Low Body Weight, Both With and Without Anorexia Nervosa." Thesis, University of Canterbury. Psychology, 2011. http://hdl.handle.net/10092/5456.

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Facial expressions can be reliable markers of emotion, and represent an important source of social information. Consequently, the ability to judge facial expressions accurately is essential for successful interpersonal interactions. Anorexia nervosa (AN) is an eating disorder in which social difficulties are common. Past research has suggested that facial emotion recognition may be disturbed in AN, although the precise nature of this disturbance is unclear. The current study aimed to further investigate emotion recognition in AN by comparing 12 women with AN to 21 women who were constitutional

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Caserman, Polona [Verfasser], Ralf [Akademischer Betreuer] Steinmetz, Uwe [Akademischer Betreuer] Rüppel, and Stefan [Akademischer Betreuer] Göbel. "Full-Body Motion Tracking In Immersive Virtual Reality - Full-Body Motion Reconstruction and Recognition for Immersive Multiplayer Serious Games / Polona Caserman ; Ralf Steinmetz, Uwe Rüppel, Stefan Göbel." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1237816742/34.

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Knight, Heather-Marie Callanan. "An architecture for sensate robots : real time social-gesture recognition using a full body array of touch sensors." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46036.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references.<br>Touch plays a central role in social expression but, so far, research into social touch behaviors for robots has been almost. non-existent. Embodied machines have the unique capability to sense human body language, which will enable robots to better comprehend, anticipate and respond to their human companions in a natural way.This thesis addresses the novel field of sensate touch by (1) creating the first. robot with full Body sensate t

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Santangelo, Constance Ruth Michaela. "Sensory discrimination and refuge recognition in amblypygids." Bowling Green State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1491227249795543.

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Desai, Soham Jayesh. "Hardware implementation of re-configurable Restricted Boltzmann Machines for image recognition." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53548.

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The Internet of Things (IoTs) has triggered rapid advances in sensors, surveillance devices, wearables and body area networks with advanced Human-Computer Interfaces (HCI). Neural Networks optimized algorithmically for high accuracy and high representation power are very deep and require tremendous storage and processing capabilities leading to higher area and power costs. For developing smart front-ends for ‘always on’ sensor nodes we need to optimize for power and area. This requires considering trade-offs with respect to various entities such as resource utilization, processing time, area,

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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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Varol, Gül. "Learning human body and human action representations from visual data." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEE029.

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Le contenu visuel se concentre souvent sur les humains. L’analyse automatique des humains à partir de données visuelles revêt donc une grande importance pour de nombreuses applications. Le but de cette thèse est d’apprendre des représentations visuelles pour l’analyse des humains. Un accent particulier est mis sur deux domaines étroitement liés de la vision artificielle : l’analyse du corps humain et la reconnaissance des actions. En résumé, nos contributions sont les suivantes : (i) nous générons des données synthétiques photoréalistes de personnes permettant l’entraînement de CNNs pour l’ana

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Nestora, Sofia. "Molecularly imprinted polymers as selective sorbents for recognition in complex aqueous samples." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2346/document.

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Dans cette thèse, nous avons démontré la faisabilité de la préparation de polymères à empreinte moléculaires (MIP) hautement sélectifs pour la reconnaissance dans des matrices aqueuses complexes avec des applications dans les cosmétiques et en technologie alimentaire. Les MIP (de l'anglais molecularly imprinted polymers) sont des récepteurs synthétiques comparables aux anticorps, qui sont synthétisés par co-polymérisation de monomères fonctionnels et réticulants en présence d'un gabarit moléculaire. Leurs propriétés de reconnaissance moléculaire, associées à leur grande stabilité, robustesse m

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Orwin, Claire Nicola. "An evaluation of the performance of an optical measurement system for the three-dimensional capture of the shape and dimensions of the human body." Thesis, De Montfort University, 2000. http://hdl.handle.net/2086/4908.

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As the clothing industry moves away from traditional models of mass production there has been increased interest towards customised clothing. The technology to produce cost effective customised clothing is already in place however the prerequisite to customised clothing is accurate body dimensional data. In response, image capture systems have been developed which are capable of recording a three-dimensional image of the body, from which measurements and shape information may be extracted. The use of these systems for customised clothing has, to date, been limited due to issues of inaccuracy,

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Bourdie, Annie. "Créations chorégraphiques d’Afrique francophone : systèmes de représentations et stratégies de reconnaissance en période contemporaine." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST0006.

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Les créations chorégraphiques contemporaines d’Afrique, sont non seulement traversées par des représentations sur la danse, le corps et les arts, mais également alimentées par toute une histoire des regards portés au cours des siècles par l’Occident sur l’Afrique le “Noir“, et “sa“ danse. Par ailleurs la France et l’Afrique ont entretenu historiquement des relations ambivalentes dont la teneur a pu avoir un impact sur les représentations, y compris dans le domaine de la danse scénique professionnelle. Dans les années soixante-dix, Léopold Sedar Senghor, mû par l’ambition de valoriser tous les

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Nordström, Nadja, and Malin Lundqvist-Tano. "Att kommunicera eller icke kommunicera - det är frågan : En kvalitativ studie av icke-verbal kommunikation i TV-reklamer." Thesis, Mittuniversitetet, Avdelningen för medie- och kommunikationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32876.

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TV-ads today is usually made up by spokespeople screaming in the viewers faces that you need to buy this and that. Often combined with upbeat music to distract you from what’s really going on. Studies shows that this is a very ineffective way of marketing. Is it possible to find a different solution to this energetic advertising strategy. What if adverts were non- verbal? Our thesis examined the opinions from two, age-different, generations to determine if non- verbal communication is used as a marketing strategy in TV-adverts. This study explored what the most important tools of non-verbal co

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Reyes, Estany Miguel. "Human Pose Analysis and Gesture Recognition from Depth Maps: Methods and Applications." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/403985.

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The visual analysis of humans is one of the most active research topics in Computer Vision. Several approaches for body pose recovery have been recently presented, allowing for better generalization of gesture recognition systems. The evaluation of human behaviour patterns in different environments has been a problem studied in social and cognitive sciences, but now it is raised as a challenging approach to computer science because of the complexity of data extraction and its analysis. The main difficulties of visual analysis in n RGB data is the discrimination of shapes, textures, background

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Tsitsoulis, Athanasios. "A Methodology for Extracting Human Bodies from Still Images." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1389793781.

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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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Xu, Siyuan. "A Natural User Interface for Virtual Object Modeling for Immersive Gaming." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/1048.

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" We designed an interactive 3D user interface system to perform object modeling in virtual environments. Expanding on existing 3D user interface techniques, we integrate low-cost human gesture recognition that endows the user with powerful abilities to perform complex virtual object modeling tasks in an immersive game setting. Much research has been done to explore the possibilities of developing biosensors for Virtual Reality (VR) use. In the game industry, even though full body interaction techniques are involved in modern game consoles, most of the utilizations, in terms of game control, a

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Yogeswaran, Arjun. "3D Surface Analysis for the Automated Detection of Deformations on Automotive Panels." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19992.

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This thesis examines an automated method to detect surface deformations on automotive panels for the purpose of quality control along a manufacturing assembly line. Automation in the automotive manufacturing industry is becoming more prominent, but quality control is still largely performed by human workers. Quality control is important in the context of automotive body panels as deformations can occur along the assembly line such as inadequate handling of parts or tools around a vehicle during assembly, rack storage, and shipping from subcontractors. These defects are currently identified and

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Lefkaditis, Dionysios. "Intelligent visual otolith classification for bony fish species recognition." Thesis, University of Brighton, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500781.

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The study of otoliths is a well-established source of information for understanding the life offish and fish populations. Conducting fish species identification from otolith samples found in the stomach contents of marine fish-eating animals finds interesting applications such as dietary studies, stock monitoring, assessment and management. Fish species identification can provide useful data for climatology, archaeology and palaeontology research, as otoliths can be sourced from geological sediments or archaeological excavations. Analysing an otolith is a highly complex and time-consuming proc

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Garrote, Bruno. "Corpo e Consciência Jurídica: Autonomia e Reconhecimento do Outro em uma perspectiva não-dual." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/2/2139/tde-01092016-205529/.

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Essa tese trata sobre a formação de hábitos de distanciamento e de exclusão sob um viés psico-físico e teórico-prático, refletindo sobre as implicações destes no fenômeno jurídico. O Direito constitui e é constituído por hábitos não-conscientes, os quais precisam ser revisitados de forma crítica e receptiva em uma perspectiva não-dual, o que envolve uma escuta e abertura não somente mental, mas corporal. Entender o Direito enquanto moralidade política indissociável das escolhas existenciais diárias é realizar uma constante auto-crítica compartilhada, a qual perpassa por um cuidado de Si, que i

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Mráček, Štěpán. "Biometric Recognition of 3D Faces." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237237.

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Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů. Je zde popsán obecný biometrický systém a také konkrétní postupy používané při rozpoznávání 2D i 3D obličejů. Následně je navžena metoda pro rozpoznávání 3D obličejů. Algoritmus je vyvíjen a testován pomocí databáze Face Recognition Grand Challenge (FRGC). Během předzpracování jsou nalezeny význačné body v obličeji a následně je trojrozměrný model zarovnán do referenční polohy. Dále jsou vstupní data porovnávána s biometrick

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