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Proceedings Paper

Detecting unintended gesture in real-time video for mental state prediction
Author(s): Akhtar Hussain; Nitin Afzulpur; Muhammad Waseem Ashraf; Shahzadi Tayyaba; Abdul Rehman Abbasi
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Paper Abstract

Research on Human-Computer-Interaction (HCI) technology is gaining popularity from last few years. In this paper, the results of our proposed low-level gesture detection module have been presented. This module may serve as a building block for a real-time gesture identification and mental state prediction system. The system has four major processing modules such as skin blob detection module, skin blob tracking module, gesture recognition module and mental state prediction module.

Paper Details

Date Published: 1 October 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852J (1 October 2011); doi: 10.1117/12.913576
Show Author Affiliations
Akhtar Hussain, Asian Institute of Technology (Thailand)
Nitin Afzulpur, Asian Institute of Technology (Thailand)
Muhammad Waseem Ashraf, Asian Institute of Technology (Thailand)
Shahzadi Tayyaba, Asian Institute of Technology (Thailand)
Abdul Rehman Abbasi, Karachi Institute of Power Engineering (Pakistan)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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