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Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

6 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 languageEnglish
Pages322-329
Number of pages8
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 - Hong Kong, China
Duration: 16 Nov 201318 Nov 2013

Conference

Conference13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
CountryChina
CityHong Kong
Period16/11/1318/11/13

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

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