摘要
为了解决人与穿戴计算机的自然交互问题,提出了一种基于穿戴视觉的人手跟踪与手势识别方法.该方法以Icondensation算法为基础,综合利用穿戴视觉系统输出的深度和灰度信息进行人手跟踪,并引入了手势变换模型.该模型可以在几种预先定义的手势之间进行动态变换.实验结果表明,该方法可以有效地实现动态和复杂背景下的人手跟踪与手势识别,为穿戴计算机系统提供自然友好的手势交互途径.
In order to solve natural interactive problems between human and wearable computers, a hand tracking and gesture recognition method based on wearable vision is proposed. The method is an extension of the Icondensation algorithm, which integrates the shape and depth information provided by a wearable vision system for robust hand tracking. Furthermore, gesture transition model is introduced to recognize gestures. The method can automatically switch between multiple pre-defined gestures in the tracking loop. Experimental results showed that the proposed method worked well in dynamic and complex background. The method can provide natural gesture-based interfaces for wearable computing systems.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2005年第12期1083-1086,共4页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(60473049)
关键词
穿戴视觉
穿戴计算机
人手跟踪
手势识别
wearable vision
wearable computer
hand tracking
gesture recognition
