Detecting unintended gesture in real-time video for mental state prediction

Akhtar Hussain; Nitin Afzulpur; Muhammad Waseem Ashraf; Shahzadi Tayyaba; Abdul Rehman Abbasi

doi:10.1117/12.913576

1 October 2011 Detecting unintended gesture in real-time video for mental state prediction

Akhtar Hussain, Nitin Afzulpur, Muhammad Waseem Ashraf, Shahzadi Tayyaba, Abdul Rehman Abbasi

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82852J (2011) https://doi.org/10.1117/12.913576
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Akhtar Hussain, Nitin Afzulpur, Muhammad Waseem Ashraf, Shahzadi Tayyaba, and Abdul Rehman Abbasi "Detecting unintended gesture in real-time video for mental state prediction", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852J (1 October 2011); https://doi.org/10.1117/12.913576

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KEYWORDS

Skin

Image segmentation

Blob detection

Gesture recognition

RGB color model

Robots

Image processing

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