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

Chen Li; Horace Ho Shing Ip

doi:10.1109/CADGraphics.2013.49

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

Chen Li, Horace Ho Shing Ip

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

7 Citations (Scopus)

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.

Original language	English
Pages	322-329
Number of pages	8
DOIs	https://doi.org/10.1109/CADGraphics.2013.49
Publication status	Published - 2013
Externally published	Yes
Event	13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 - Hong Kong, China Duration: 16 Nov 2013 → 18 Nov 2013

Conference

Conference	13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
Country/Territory	China
City	Hong Kong
Period	16/11/13 → 18/11/13

Keywords

Gesture Recognition
Kinect
Motion Capture
Natural User Interface
Virtual Reality

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

More information

10.1109/CADGraphics.2013.49

Cite this

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

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.",

keywords = "Gesture Recognition, Kinect, Motion Capture, Natural User Interface, Virtual Reality",

author = "Chen Li and Ip, {Horace Ho Shing}",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 ; Conference date: 16-11-2013 Through 18-11-2013",

year = "2013",

doi = "10.1109/CADGraphics.2013.49",

language = "English",

pages = "322--329",

}

Li, C & Ip, HHS 2013, 'AIMtechKinect: A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities', Paper presented at 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013, Hong Kong, China, 16/11/13 - 18/11/13 pp. 322-329. https://doi.org/10.1109/CADGraphics.2013.49

AIMtechKinect: A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities. / Li, Chen; Ip, Horace Ho Shing.
2013. 322-329 Paper presented at 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013, Hong Kong, China.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - AIMtechKinect: A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities

AU - Li, Chen

AU - Ip, Horace Ho Shing

PY - 2013

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N2 - 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.

AB - 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.

KW - Gesture Recognition

KW - Kinect

KW - Motion Capture

KW - Natural User Interface

KW - Virtual Reality

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DO - 10.1109/CADGraphics.2013.49

M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:84901474642

SP - 322

EP - 329

T2 - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013

Y2 - 16 November 2013 through 18 November 2013

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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