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

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › 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. © 2013 IEEE.

Original language	English
Title of host publication	Proceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
Publisher	IEEE Computer Society
Pages	322-329
DOIs	https://doi.org/10.1109/CADGraphics.2013.49
Publication status	Published - 2013
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
Place	China
City	Hong Kong
Period	16/11/13 → 18/11/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Research Keywords

Gesture Recognition
Kinect
Motion Capture
Natural User Interface
Virtual Reality

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10.1109/CADGraphics.2013.49

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Li, C., & Ip, H. H.-S. (2013). AIMtechKinect: A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities. In Proceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 (pp. 322-329). Article 6815012 IEEE Computer Society. https://doi.org/10.1109/CADGraphics.2013.49

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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. {\textcopyright} 2013 IEEE.",

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

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

year = "2013",

doi = "10.1109/CADGraphics.2013.49",

language = "English",

pages = "322--329",

booktitle = "Proceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013",

publisher = "IEEE Computer Society",

address = "United States",

note = "13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 ; Conference date: 16-11-2013 Through 18-11-2013",

}

Li, C & Ip, HH-S 2013, AIMtechKinect: A Kinect based interaction-oriented gesture recognition system designed for students with severe intellectual disabilities. in Proceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013., 6815012, IEEE Computer Society, pp. 322-329, 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013, Hong Kong, China, 16/11/13. 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.
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

TY - GEN

T1 - AIMtechKinect

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

AU - Li, Chen

AU - Ip, Horace Ho-Shing

PY - 2013

Y1 - 2013

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. © 2013 IEEE.

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. © 2013 IEEE.

KW - Gesture Recognition

KW - Kinect

KW - Motion Capture

KW - Natural User Interface

KW - Virtual Reality

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84901474642&origin=recordpage

U2 - 10.1109/CADGraphics.2013.49

DO - 10.1109/CADGraphics.2013.49

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 322

EP - 329

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

PB - IEEE Computer Society

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

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UN SDGs

Research Keywords

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