Recognition of Human Behavior with 9eye Stereo Vision and Data Glove
Conference Paper, Proceedings of Computer Vision and Image Media, March, 2000
Abstract
When a robot recognizes human behaviour and tries to perform the same behaviour afterward, a human behaviour model which is highly applicable in different environment is required. In this paper, we limits the task field to hand operation and describe a novel method of constructing a behaviour model of hand operation using data-glove and HMM, which abstracts human hand action from four attributes ``which hands'', ``state of grasping'', ``hand motion'' and ``relative position of target objects and hands in 3D space'' along the time series. We also describe a method of performing the same human operation by robot with 9eye stereo vision system and 3D template matching, and finally we show the experimental results using a real robot.
BibTeX
@conference{Ogawara-2000-7985,author = {Koichi Ogawara and Soshi Iba and Hiroshi Kimura and Katsushi Ikeuchi},
title = {Recognition of Human Behavior with 9eye Stereo Vision and Data Glove},
booktitle = {Proceedings of Computer Vision and Image Media},
year = {2000},
month = {March},
keywords = {Gesture Recognition, Humanoid, Stereo Vision, Skill Modelling},
}
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