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Dilworth, Marie (2017) Personalising hand gesture computing. [Dissertation (University of Nottingham only)]

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Abstract

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.

Item Type:	Dissertation (University of Nottingham only)
Keywords:	Hand Gesture, Leap Motion, Had Tracking, Gesture Recognition, Unity 3D
Depositing User:	Gonzalez-Orbegoso, Mrs Carolina
Date Deposited:	09 Jan 2018 09:13
Last Modified:	10 Jan 2018 09:02
URI:	https://eprints.nottingham.ac.uk/id/eprint/48529

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