摘要
传统遥控方式对用户的限制和束缚降低了用户体验质量。为此,提出一种基于触摸屏的手势遥控系统。通过分析触摸手势元动作,对触摸手势进行分类和数学建模,设计该遥控系统的触摸手势识别算法。该算法充分考虑了用户的认知和行为习惯差异,实现智能电视的手势遥控系统,收集真实用户在使用该遥控系统时的操作习惯,进一步提高触摸手势及其对应的遥控操作的识别准确率。实验结果表明,该算法能较好地区分易引起误操作的触摸手势,使得平均识别准确率达到99%。
The restrictions and constraints of traditional remote control for users reduce the quality of user experience. Aiming at this defect, a system of gesture remote control based on touch screen is proposed. Based on the analysis of touch gesture meta-actions, classification and mathematical modeling are performed for touch gestures, and recognition algorithms of touch gestures are designed for the remote control system. Cognition and behavior differences among users are considered fully in the algorithms. A gesture remote control system for smart-TV is realized to collect operating habits for real users in the use of the remote control system, and further improve recognition accuracy for touch gestures and their corresponding remote operations. Experimental results show that the algorithm can distinguish touch gestures that may be misused easily, and make the average recognition accuracy reach 99%.
出处
《计算机工程》
CAS
CSCD
2014年第6期285-290,共6页
Computer Engineering
基金
国家"863"计划基金资助项目"融合网络业务体系的开发"(2011AA01A102)
中国科学院战略性先导科技专项课题基金资助项目"海端交互数据实时处理"(XDA6030500)
关键词
人机交互
触摸屏
触摸手势
手势识别
手势遥控
用户习惯
human-machine interaction
touch screen
touch gesture
gesture recognition
gesture remote control
user habit
