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Relevant bibliographies by topics / Gesture / Dissertations / Theses

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Dissertations / Theses on the topic 'Gesture'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lindberg, Martin. "Introducing Gestures: Exploring Feedforward in Touch-Gesture Interfaces." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23555.

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This interaction design thesis aimed to explore how users could be introduced to the different functionalities of a gesture-based touch screen interface. This was done through a user-centred design research process where the designer was taught different artefacts by experienced users. Insights from this process lay the foundation for an interactive, digital gesture-introduction prototype.Testing said prototype with users yielded this study's results. While containing several areas for improvement regarding implementation and behaviour, the prototype's base methods and qualities were well rece

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2

Campbell, Lee Winston. "Visual classification of co-verbal gestures for gesture understanding." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8707.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2001.<br>Includes bibliographical references (leaves 86-92).<br>A person's communicative intent can be better understood by either a human or a machine if the person's gestures are understood. This thesis project demonstrates an expansion of both the range of co-verbal gestures a machine can identify, and the range of communicative intents the machine can infer. We develop an automatic system that uses realtime video as sensory input and then segments, classifies, an

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3

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

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4

Davis, James W. "Gesture recognition." Honors in the Major Thesis, University of Central Florida, 1994. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/126.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Arts and Sciences<br>Computer Science

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5

Yunus, Fajrian. "Prediction of Gesture Timing and Study About Image Schema for Metaphoric Gestures." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS551.

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Les gestes communicatifs et la parole sont étroitement liés. Nous voulons prédire automatiquement les gestes en fonction du discours. Le discours lui-même a deux constituants : l'acoustique et le contenu du discours (c'est-à-dire le texte). Dans une partie de cette thèse, nous développons un modèle basé sur un réseau de neurones récurrents avec un mécanisme d'attention pour prédire le moment des gestes, c'est-à-dire quand les gestes doivent se produire et quels types des gestes doivent se produire. Nous utilisons une technique de comparaison de séquences pour évaluer les performances du modèle

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6

Cheng, You-Chi. "Robust gesture recognition." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53492.

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It is a challenging problem to make a general hand gesture recognition system work in a practical operation environment. In this study, it is mainly focused on recognizing English letters and digits performed near the steering wheel of a car and captured by a video camera. Like most human computer interaction (HCI) scenarios, the in-car gesture recognition suffers from various robustness issues, including multiple human factors and highly varying lighting conditions. It therefore brings up quite a few research issues to be addressed. First, multiple gesturing alternatives may share the same me

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7

Cometti, Jean Pierre. "The architect's gesture." Pontificia Universidad Católica del Perú - Departamento de Humanidades, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/112899.

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8

Kaâniche, Mohamed Bécha. "Human gesture recognition." Nice, 2009. http://www.theses.fr/2009NICE4032.

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Dans cette thèse, nous voulons reconnaître les gestes (par ex. Lever la main) et plus généralement les actions brèves (par ex. Tomber, se baisser) effectués par un individu. De nombreux travaux ont été proposés afin de reconnaître des gestes dans un contexte précis (par ex. En laboratoire) à l’aide d’une multiplicité de capteurs (par ex. Réseaux de cameras ou individu observé muni de marqueurs). Malgré ces hypothèses simplificatrices, la reconnaissance de gestes reste souvent ambiguë en fonction de la position de l’individu par rapport aux caméras. Nous proposons de réduire ces hypothèses afin

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9

Alon, Jonathan. "Spatiotemporal Gesture Segmentation." Boston University Computer Science Department, 2006. https://hdl.handle.net/2144/1884.

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Spotting patterns of interest in an input signal is a very useful task in many different fields including medicine, bioinformatics, economics, speech recognition and computer vision. Example instances of this problem include spotting an object of interest in an image (e.g., a tumor), a pattern of interest in a time-varying signal (e.g., audio analysis), or an object of interest moving in a specific way (e.g., a human's body gesture). Traditional spotting methods, which are based on Dynamic Time Warping or hidden Markov models, use some variant of dynamic programming to register the pattern and

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10

Macleod, Tracy. "Gesture signs in social interaction : how group size influences gesture communication." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1205/.

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This thesis explores the effects of group size on gesture communication. Signs in general change, in the kind of information they convey and the way in which they do so, and changes depend on interactive communication. For instance, speech is like dialogue in smaller groups but like monologue in larger groups. It was predicted that gestures would be influenced in a similar way by group size. In line with predictions, communication in groups of 5 was like dialogue whereas in groups of 8 it was like monologue. This was evident from the types of gesture that occurred with more beat and deictic ge

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11

Bodiroža, Saša [Verfasser], Verena V. [Gutachter] Hafner, Yael [Gutachter] Edan, and Bruno [Gutachter] Lara. "Gestures in human-robot interaction : development of intuitive gesture vocabularies and robust gesture recognition / Saša Bodiroža ; Gutachter: Verena V. Hafner, Yael Edan, Bruno Lara." Berlin : Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://d-nb.info/1126553557/34.

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12

Arvidsson, Carina. "Tal och gesters samverkan i undervisningen : En empirisk studie på lågstadiet." Thesis, Linnéuniversitetet, Institutionen för svenska språket (SV), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96181.

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Studien syftar till att undersöka sambandet mellan tal och gester utifrån lärares resonemang och språkbruk i klassrummet. Studien utgår från ett förkroppsligande perspektiv där begreppen deiktiska gester, metaforiska gester, ikoniska gester och rytmiska gester återfinns. Begreppen är hämtade från McNeills (1992) indelning av gester i olika kategorier. För insamling av data användes ostrukturerad observation och semistrukturerad intervju. Resultatet från observationerna visade att deiktiska rörelser, främst att peka mot tavlan, var den mest förekommande gesten hos lärarna och de rytmiska gester

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13

Kuhlman, Lane M. "Gesture Mapping for Interaction Design: An Investigative Process for Developing Interactive Gesture Libraries." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244003264.

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14

Semprini, Mattia. "Gesture Recognition: una panoramica." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15672/.

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Per decenni, l’uomo ha interagito con i calcolatori e altri dispositivi quasi esclusivamente premendo i tasti e facendo "click" sul mouse. Al giorno d’oggi, vi è un grande cambiamento in atto a seguito di una ondata di nuove tecnologie che rispondono alle azioni più naturali, come il movimento delle mani o dell’intero corpo. Il mercato tecnologico è stato scosso in un primo momento dalla sostituzione delle tecniche di interazione standard con approcci di tipo "touch and motion sensing"; il passo successivo è l’introduzione di tecniche e tecnologie che permettano all’utente di accedere e manipo

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Gingir, Emrah. "Hand Gesture Recognition System." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612532/index.pdf.

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This thesis study presents a hand gesture recognition system, which replaces input devices like keyboard and mouse with static and dynamic hand gestures, for interactive computer applications. Despite the increase in the attention of such systems there are still certain limitations in literature. Most applications require different constraints like having distinct lightning conditions, usage of a specific camera, making the user wear a multi-colored glove or need lots of training data. The system mentioned in this study disables all these restrictions and provides an adaptive, effort free envi

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16

Metais, Thierry. "A dynamic gesture interface." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26983.

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Technological advancements during the last years made three dimensional virtual environments ubiquious computer applications. The traditional input devices such as keyboards and mice have reached their limits for they are no longer intuitive to manage 3 dimensional interactions. During the last decades, digital gloves were invented in an attempt to capture hand gestures. The work presented in this thesis is about recognizing hand shape based gestures for virtual environment navigation. We addressed this issue in two steps: first, we look for gesture representations that would allow a good disc

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17

Easton, Beth Louise. "Gesture of the book." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0018/MQ49744.pdf.

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18

Kang, Angela. "Chinoiserie as musical gesture." Thesis, Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B40040240.

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19

Rajagopal, Manoj Kumar. "Cloning with gesture expressivity." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00719301.

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Virtual environments allow human beings to be represented by virtual humans or avatars. Users can share a sense of virtual presence is the avatar looks like the real human it represents. This classically involves turning the avatar into a clone with the real human's appearance and voice. However, the possibility of cloning the gesture expressivity of a real person has received little attention so far. Gesture expressivity combines the style and mood of a person. Expressivity parameters have been defined in earlier works for animating embodied conversational agents.In this work, we focus on exp

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20

Kozel, Susan. "As Vision Becomes Gesture." Thesis, University of Essex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506150.

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21

Dang, Darren Phi Bang. "Template based gesture recognition." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/41404.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (p. 65-66).<br>by Darren PHi Bang Dang.<br>M.S.

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22

Harrison, Simon Mark. "Grammar, gesture and cognition." Bordeaux 3, 2009. http://www.theses.fr/2009BOR30071.

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Dans cette thèse, nous examinons comment les locuteurs anglais utilisent le geste quand ils expriment une négation. Nous identifions neuf gestes de la négation et nous analysons leurs formes, leur rapport à la négation grammaticale, et leur organisation par rapport au discours. S’appuyant sur un corpus audiovisuel, nous démontrons que le geste joue un rôle fondamental dans les constructions négatives, comme le noyau et la portée de la négation, la négation implicite et la négation cumulative. Au cours de nos analyses nous montrons comment le geste présente des tendances universelles à exprimer

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23

Nilsson, Rebecca, and de Val Almida Winquist. "Hand Gesture Controlled Wheelchair." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264512.

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Haptical technology is a field that is under constant development and that exists in many of today’s products, for example in VR-games and in the controls for vehicles. This kind of technology could in the same way simplify for disabled people by their being able to control a wheelchair using hand gestures. The purpose of this project is to research if a wheelchair can be controlled with hand gestures, and in that case, in which way that would be the most optimal. To answer the research questions in the project, a small scale prototype wheelchair was developed. This prototype is based on a mic

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24

Sulaiman, Amil, and Erik Janerdal. "Gesture controlled robot hand." Thesis, Högskolan i Halmstad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44940.

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This project was chosen by the students themselves. The idea behind the proposed system was tooffer an alternative method to control robotics in remote places and harsh environments using avision-based approach. The purpose of the project is to introduce a more natural way of humanto-computer interaction and also to make humans working in hazardous environments still performtheir duties remotely.The components used in the project are a mechanic hand, a Raspberry Pi, a Raspberry Pi cameramodule v2, servos, a servo driver, and a Raspberry Pi display. The code is written in C++, and thelibraries

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25

Mann, Pamela Florence. "Meaning, gesture and Gauguin." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/35891/1/35891_Mann_1998.pdf.

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This thesis discusses the difference between two dimensional painting and sculpture although they have proceeded along parallel paths. Feminist. Post-colonial and psychoanalytical discourses intertwine to cover complexities within the artwork of Gauguin and my own. Just as painting and sculpture run along parallel paths though covering problems inherent in their differences so to do I attempt to describe similarities at the same time as recognising the areas where the two do not meet. Issues covered include the search for meaning, in such a way as to make the art works relevant at the close

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26

Kuhlman, Lane Marie. "Gesture mapping for interaction design an investigative process for developing interactive gesture libraries /." Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1244003264.

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27

Duvillard, Jean. ""L'introspection gestuée" - La place des gestes et micro-gestes professionnels dans la formation initiale et continue des métiers de l'enseignement." Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10191/document.

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Depuis une trentaine d'années la recherche et la littérature scientifique en éducation ont mis en évidence l'importance de l'analyse des pratiques dans la formation des enseignants et des formateurs. La question des gestes professionnels est aujourd'hui une des problématiques de la formation des enseignants. En prenant appui sur des approches théoriques variées et complémentaires, comme l'anthropologie, la sémiotique et l'ergonomie cognitive notre recherche et notre objet d'étude se concentrent sur l'identification de « microgestes professionnels » qui sont « en (je) eux » dans la mise en prat

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Parra, González Luis Otto. "gestUI: a model-driven method for including gesture-based interaction in user interfaces." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/89090.

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The research reported and discussed in this thesis represents a novel approach to define custom gestures and to include gesture-based interaction in user interfaces of the software systems with the aim of help to solve the problems found in the related literature about the development of gesture-based user interfaces. The research is conducted according to Design Science methodology that is based on the design and investigation of artefacts in a context. In this thesis, the new artefact is the model-driven method to include gesture-based interaction in user interfaces. This methodology conside

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29

Lascarides, Alex, and Matthew Stone. "Formal semantics for iconic gesture." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2006/1033/.

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We present a formal analysis of iconic coverbal gesture. Our model describes the incomplete meaning of gesture that’s derivable from its form, and the pragmatic reasoning that yields a more specific interpretation. Our formalism builds on established models of discourse interpretation to capture key insights from the descriptive literature on gesture: synchronous speech and gesture express a single thought, but while the form of iconic gesture is an important clue to its interpretation, the content of gesture can be resolved only by linking it to its context.

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30

Stendahl, Jonas, and Johan Arnör. "Gesture Keyboard USING MACHINE LEARNING." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157141.

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The market for mobile devices is expanding rapidly. Input of text is a large part of using a mobile device and an input method that is convenient and fast is therefore very interesting. Gesture keyboards allow the user to input text by dragging a finger over the letters in the desired word. This study investigates if enhancements of gesture keyboards can be accomplished using machine learning. A gesture keyboard was developed based on an algorithm which used a Multilayer Perceptron with backpropagation and evaluated. The results indicate that the evaluated implementation is not an optimal solu

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31

Eisenstein, Jacob (Jacob Richard). "Gesture in automatic discourse processing." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44401.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 145-153).<br>Computers cannot fully understand spoken language without access to the wide range of modalities that accompany speech. This thesis addresses the particularly expressive modality of hand gesture, and focuses on building structured statistical models at the intersection of speech, vision, and meaning. My approach is distinguished in two key respects. First, gestural patterns are leveraged to discover parallel structures in th

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Wang, Lei. "Personalized Dynamic Hand Gesture Recognition." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231345.

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Human gestures, with the spatial-temporal variability, are difficult to be recognized by a generic model or classifier that are applicable for everyone. To address the problem, in this thesis, personalized dynamic gesture recognition approaches are proposed. Specifically, based on Dynamic Time Warping(DTW), a novel concept of Subject Relation Network is introduced to describe the similarity of subjects in performing dynamic gestures, which offers a brand new view for gesture recognition. By clustering or arranging training subjects based on the network, two personalization algorithms are propo

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33

NORMELIUS, ANTON, and KARL BECKMAN. "Hand Gesture Controlled Omnidirectional Vehicle." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279822.

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The purpose of this project was to study how hand gesture control can be implemented on a vehicle that utilizes mecanum wheels in order to move in all directions. Furthermore, it was investigated how the steering of such a vehicle can be made wireless to increase mobility. A prototype vehicle consisting of four mecanum wheels was constructed. Mecanum wheels are such wheels that enable translation in all directions. By varying rotational direction of each wheel, the direction of the resulting force on the vehicle is altered, making it move in the desired direction. Hand gesture control was enab

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34

Espinoza, Victor. "Gesture Recognition in Tennis Biomechanics." Master's thesis, Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/530096.

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Electrical and Computer Engineering<br>M.S.E.E.<br>The purpose of this study is to create a gesture recognition system that interprets motion capture data of a tennis player to determine which biomechanical aspects of a tennis swing best correlate to a swing efficacy. For our learning set this work aimed to record 50 tennis athletes of similar competency with the Microsoft Kinect performing standard tennis swings in the presence of different targets. With the acquired data we extracted biomechanical features that hypothetically correlated to ball trajectory using proper technique and tested th

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Scoble, Joselynne. "Stuttering blocks the flow of speech and gesture : the speech-gesture relationship in chronic stutterers." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=69730.

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This thesis investigated the speech-gesture relationship of chronic adult stutterers in comparison to fluent controls based on previous work by McNeill (1979, 1986). Significant differences were found in the speech and gesture characteristics of the narratives of stutterers as compared to fluent controls on a cartoon retelling task. Stutterers produced fewer cartoon details in their speech and fewer meanings per gesture. As well, stutterers were unable to begin a representational gesture at the same moment as a stuttered disfluency resulting in the freezing of gestures or maintaining the hand

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Nygård, Espen Solberg. "Multi-touch Interaction with Gesture Recognition." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9126.

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<p>This master's thesis explores the world of multi-touch interaction with gesture recognition. The focus is on camera based multi-touch techniques, as these provide a new dimension to multi-touch with its ability to recognize objects. During the project, a multi-touch table based on the technology Diffused Surface Illumination has been built. In addition to building a table, a complete gesture recognition system has been implemented, and different gesture recognition algorithms have been successfully tested in a multi-touch environment. The goal with this table, and the accompanying gesture r

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Jannedy, Stefanie, and Norma Mendoza-Denton. "Structuring information through gesture and intonation." Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2006/877/.

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Face-to-face communication is multimodal. In unscripted spoken discourse we can observe the interaction of several "semiotic layers", modalities of information such as syntax, discourse structure, gesture, and intonation. <br>We explore the role of gesture and intonation in structuring and aligning information in spoken discourse through a study of the co-occurrence of pitch accents and gestural apices.<br> Metaphorical spatialization through gesture also plays a role in conveying the contextual relationships between the speaker, the government and other external forces in a naturally-occurrin

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Khan, Muhammad. "Hand Gesture Detection & Recognition System." Thesis, Högskolan Dalarna, Datateknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6496.

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The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it.A research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algori

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Glatt, Ruben [UNESP]. "Deep learning architecture for gesture recognition." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/115718.

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Made available in DSpace on 2015-03-03T11:52:29Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-07-25Bitstream added on 2015-03-03T12:06:38Z : No. of bitstreams: 1 000807195.pdf: 2462524 bytes, checksum: 91686fbe11c74337c40fe57671eb8d82 (MD5)<br>O reconhecimento de atividade de visão de computador desempenha um papel importante na investigação para aplicações como interfaces humanas de computador, ambientes inteligentes, vigilância ou sistemas médicos. Neste trabalho, é proposto um sistema de reconhecimento de gestos com base em uma arquitetura de aprendizagem profunda. Ele é usado pa

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Gillian, N. E. "Gesture recognition for musician computer interaction." Thesis, Queen's University Belfast, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546348.

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Cairns, Alistair Y. "Towards the automatic recognition of gesture." Thesis, University of Dundee, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385803.

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42

Harding, Peter Reginald George. "Gesture recognition by Fourier analysis techniques." Thesis, City University London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440735.

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43

GOMES, MARIA LUZIA DE CERQUEIRA. "OBJECT AND GESTURE - NA INTERDISCIPLYNARY LOOK." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13140@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Este trabalho trata de uma reflexão sobre a interação homem e objeto, a partir da percepção elementar que se encontra nesse “inter-mundo”: o gesto. Tornar manifesta essa ação do homem – ora espontânea ou técnica – é o objetivo desta narrativa que busca nutrir as relações humanas, ocorridas nos espaço de suas vivências, através da consciência de suas extensões, ou seja, dos seus gestos e objetos.<br>This project is a research proposal on the interaction between man and object through the elementary perception found in this inter

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44

Tanguay, Donald O. (Donald Ovila). "Hidden Markov models for gesture recognition." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37796.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (p. 41-42).<br>by Donald O. Tanguay, Jr.<br>M.Eng.

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Wilson, Andrew David. "Learning visual behavior for gesture analysis." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/62924.

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Yao, Yi. "Hand gesture recognition in uncontrolled environments." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/74268/.

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Human Computer Interaction has been relying on mechanical devices to feed information into computers with low efficiency for a long time. With the recent developments in image processing and machine learning methods, the computer vision community is ready to develop the next generation of Human Computer Interaction methods, including Hand Gesture Recognition methods. A comprehensive Hand Gesture Recognition based semantic level Human Computer Interaction framework for uncontrolled environments is proposed in this thesis. The framework contains novel methods for Hand Posture Recognition, Hand G

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Gonçalves, Duarte Nuno de Jesus. "Gesture based interface for image annotation." Master's thesis, Faculdade de Ciências e Tecnologia, 2008. http://hdl.handle.net/10362/7828.

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Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Informática pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia<br>Given the complexity of visual information, multimedia content search presents more problems than textual search. This level of complexity is related with the difficulty of doing automatic image and video tagging, using a set of keywords to describe the content. Generally, this annotation is performed manually (e.g., Google Image) and the search is based on pre-defined keywords. However, this task takes time and can be dull. In this disser

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Glatt, Ruben. "Deep learning architecture for gesture recognition /." Guaratinguetá, 2014. http://hdl.handle.net/11449/115718.

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Orientador: José Celso Freire Junior<br>Coorientador: Daniel Julien Barros da Silva Sampaio<br>Banca: Galeno José de Sena<br>Banca: Luiz de Siqueira Martins Filho<br>Resumo: O reconhecimento de atividade de visão de computador desempenha um papel importante na investigação para aplicações como interfaces humanas de computador, ambientes inteligentes, vigilância ou sistemas médicos. Neste trabalho, é proposto um sistema de reconhecimento de gestos com base em uma arquitetura de aprendizagem profunda. Ele é usado para analisar o desempenho quando treinado com os dados de entrada multi-modais em

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Caceres, Carlos Antonio. "Machine Learning Techniques for Gesture Recognition." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/52556.

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Classification of human movement is a large field of interest to Human-Machine Interface researchers. The reason for this lies in the large emphasis humans place on gestures while communicating with each other and while interacting with machines. Such gestures can be digitized in a number of ways, including both passive methods, such as cameras, and active methods, such as wearable sensors. While passive methods might be the ideal, they are not always feasible, especially when dealing in unstructured environments. Instead, wearable sensors have gained interest as a method of gesture classifica

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Pfister, Tomas. "Advancing human pose and gesture recognition." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:64e5b1be-231e-49ed-b385-e87db6dbeed8.

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This thesis presents new methods in two closely related areas of computer vision: human pose estimation, and gesture recognition in videos. In human pose estimation, we show that random forests can be used to estimate human pose in monocular videos. To this end, we propose a co-segmentation algorithm for segmenting humans out of videos, and an evaluator that predicts whether the estimated poses are correct or not. We further extend this pose estimator to new domains (with a transfer learning approach), and enhance its predictions by predicting the joint positions sequentially (rather than inde

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