AIMtechKinect : A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
PublisherIEEE Computer Society
Pages322-329
Publication statusPublished - 2013

Conference

Title13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
PlaceChina
CityHong Kong
Period16 - 18 November 2013

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84901474642&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(702e61a2-095a-4b5c-bb42-9f4ed0bf95d0).html

Abstract

Microsoft Kinect sensors nowadays are widely used for real-Time controller-free virtual reality (VR) interactions. However, there has been limited research on interaction-oriented analysis of motion data captured by Kinect from those who suffer from both intellectual and physical challenges. In this paper, a software framework based on Kinect is proposed to support a psycho-educational program (InSPAL) in a special school setting, which aims to enable students with severe intellectual disabilities (SID) to interact with the educational VR content and through which their pre-learning skills could be enhanced. Also, algorithms embedded in this framework are designed and modified in order to overcome limitations of the sensor and challenges originated from unique features of SID students' body movement. © 2013 IEEE.

Research Area(s)

  • Gesture Recognition, Kinect, Motion Capture, Natural User Interface, Virtual Reality

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Publication fingerprints text

100
Intellectual Disabi... Social Sciences
100
Oriented Analysis Computer Science
100
Virtual Reality Computer Science
100
Recognition System Computer Science
100
Software Frameworks Computer Science
100
Captured Motion Dat... Computer Science
100
Gesture Recognition Computer Science
100
Learning Skill Computer Science
100
Educational Program... Computer Science
100
Virtual Reality Int... Computer Science
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Citation Format(s)

[ RIS ] [ BibTeX ]
AIMtechKinect: A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities. / Li, Chen; Ip, Horace Ho-Shing.
Proceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013. IEEE Computer Society, 2013. p. 322-329 6815012.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review