Detecting Unintended Gesture in Real-Time Video for Mental State Prediction

摘要：

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.

关键词： Blob analyst hand gestures mental state classlficatlo skin detection

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

作者单位: School of Engineering and Technology Asian Institute of Technology (AIT) Bangkok, Thailand Advanced Computing Laboratory Karachi Institute of Power Engineering Karachi, Pakistan

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 712-716

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）