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A Novel Dynamic Hand Gesture and Movement Trajectory Recognition model for Non-Touch HRI Interface

Author Affiliations
University of Asia Pacific, University of Aizu
Published In2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
Year2019
Citations15

Abstract

Efficient Human Robot Interaction (HRI) interface is very much demandable for controlling the semi-autonomous robots. Hand gesture recognition is an effective form of non-touch instruction. Thus, human hand gesture recognition is mostly used technique for HRI. However, in most research, some sensor devices or marker are incorporate with the hand or a large number of hand image and hand gesture sequence is stored and process for gesture recognition in machine learning techniques, which are costly and demand complex computation. From this point of view, an efficient dynamic hand gesture and movement trajectory recognition system is proposed in this paper, which can be used in real-time fashion for effective HRI interface. In the proposed dynamic gesture recognition system, hand images and…
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