On Gesture Recognition for Human-Robot Symbiosis

M. Bhuiyan
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引用次数: 10

Abstract

This paper presents a vision based gesture recognition system for human-robot symbiosis. The system is based on visual information of the face gestures recognition by connected component analysis of the skin color segmentation of images in HSV color model and PCA based pattern-matching strategies. On gesture recognition, the robot is being instructed to perform certain tasks by issuing commands. The system has been demonstrated with the implementation of the algorithm to interact with a robot named, AIBO-MIN for human-robot symbiotic relationship
人机共生的手势识别研究
提出了一种基于视觉的人机共生手势识别系统。该系统以人脸手势识别的视觉信息为基础,采用HSV颜色模型对图像的肤色分割进行连通分量分析,并结合基于PCA的模式匹配策略。在手势识别方面,机器人通过发出指令来执行特定的任务。该系统已被证明与一个名为AIBO-MIN的机器人进行交互算法的实现,以实现人机共生关系
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