ヒューマン・ロボット・インタラクションにおける人の指さし動作予測方法に関する一検討

草野 祐樹; 大村 廉

doi:10.11511/jacc.54.0.33.0

THE 54TH JAPAN JOINT AUTOMATIC CONTROL CONFERENCE

Session ID : 1C101

DOI https://doi.org/10.11511/jacc.54.0.33.0

Conference information

Host: The Society of Instrument and Control Engineers, The Japan Society of Mechanical Engineers, The Institute of Systems, Control and Information Engineers, The Society of Chemical Engineers, The Japan Society for Precision Engineering, The Japan Society for Aeronautical and Space Sciences

Co-host: Toyohashi University of Technology, Technically Cosponsored by 51 Societies and Institutes

Recognition Technology for Environment and Behavior and Human-Robot Interaction (1)

A Study on Prediction Method of Pointing Action in Human Robot Interaction

*Yuuki Kusano, Ren Ohmura

Author information

Keywords: Gesture Prediction, Human Robot Interaction, Pointing Gesture, Minimum-Jerk Model,, 3D Depth Image Sensor

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Recently, many kinds of life support robots are developed, and we can expect that robots blend with our daily life in near future. Natural human-robot interaction is a key technology for realizing it. Thus, we focus on human pointing gesture that is one of the most frequent communication method in our conversation. We propose a method to predict pointing direction before the end of the gesture using Minimum-Jerk Model with a range image sensor.

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