Visual gesture recognition for human-machine interface of robot teleoperation

被引：0

作者：

Hu, C ^{[1
]}

Meng, MQ ^{[1
]}

Liu, PXP ^{[1
]}

Wang, X ^{[1
]}

机构：

[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada

来源：

IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4 | 2003年

关键词：

visual gesture recognition; human machine interface; robot teleoperation;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

This paper presents a new visual gesture recognition method for the human-machine interface of mobile robot teleoperation. ne interface uses seven static hand gestures, each of which represents an individual control command for the motion control of the remote robot. All the important aspects to develop such a interface are explored, including image acquisition, adaptive object segmentation with color image in RGB, HLS representation, morphological filtering, hand finding and labeling, and recognition with edge codes, template matching, and skeletonizing. By choosing processing methods and procedures properly, a higher ratio of correct recognition and a faster speed are achieved from the experiments.

引用

页码：1560 / 1565

页数：6

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