Personalising hand gesture computing

Hand gesture recognition has long held a place in science fiction writing and film, and for many years work has continued to develop and improve hand and body gesture recognition for computing, and in particular for computer games. Despite the efforts going into this field, the ability to effectivel...

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Bibliographic Details
Main Author: Dilworth, Marie
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/48529/
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author Dilworth, Marie
author_facet Dilworth, Marie
author_sort Dilworth, Marie
building Nottingham Research Data Repository
collection Online Access
description Hand gesture recognition has long held a place in science fiction writing and film, and for many years work has continued to develop and improve hand and body gesture recognition for computing, and in particular for computer games. Despite the efforts going into this field, the ability to effectively communicate with computer systems using hand gestures remains elusive. This study seeks to investigate the opportunities and challenges present in the field of hand gesture computing by conducting an experiment in user driven gesture creation, recording and recognition. This study introduces a simple algorithm for the real-time recording and recognition of dynamic hand gestures using the Leap Motion infrared sensor and Unity games development environment.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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language English
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spelling nottingham-485292018-01-10T09:02:23Z https://eprints.nottingham.ac.uk/48529/ Personalising hand gesture computing Dilworth, Marie Hand gesture recognition has long held a place in science fiction writing and film, and for many years work has continued to develop and improve hand and body gesture recognition for computing, and in particular for computer games. Despite the efforts going into this field, the ability to effectively communicate with computer systems using hand gestures remains elusive. This study seeks to investigate the opportunities and challenges present in the field of hand gesture computing by conducting an experiment in user driven gesture creation, recording and recognition. This study introduces a simple algorithm for the real-time recording and recognition of dynamic hand gestures using the Leap Motion infrared sensor and Unity games development environment. 2017-12-14 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/48529/1/MarieDilworth_MScDissertation.pdf Dilworth, Marie (2017) Personalising hand gesture computing. [Dissertation (University of Nottingham only)] Hand Gesture Leap Motion Had Tracking Gesture Recognition Unity 3D
spellingShingle Hand Gesture
Leap Motion
Had Tracking
Gesture Recognition
Unity 3D
Dilworth, Marie
Personalising hand gesture computing
title Personalising hand gesture computing
title_full Personalising hand gesture computing
title_fullStr Personalising hand gesture computing
title_full_unstemmed Personalising hand gesture computing
title_short Personalising hand gesture computing
title_sort personalising hand gesture computing
topic Hand Gesture
Leap Motion
Had Tracking
Gesture Recognition
Unity 3D
url https://eprints.nottingham.ac.uk/48529/