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Development of an assistive system for position control of a human hand with high speed and high accuracy

Wataru Tooyama, Shouren Huang, Kenichi Murakami, Yuji Yamakawa, Masatoshi Ishikawa

Year
2016
Citations
7

Abstract

Human motion is very flexible for performing various tasks but has low speed and low precision; therefore, support and assistance of human motion by robots is desirable in some situations. In this study, in order to achieve such functions, we developed a new portable module for accurately controlling the position of a human hand and constructed a high-speed, high-accuracy positioning control system using image tracking via a high-speed vision system. In order to evaluate its performance, we executed tracing tests of circular or linear trajectories. Finally, we performed the task of catching a falling ball. Although the task was nearly impossible to perform with the human hand alone, the success rate was dramatically improved by using the proposed method.

Keywords

Computer scienceTracingTask (project management)Computer visionPosition (finance)Artificial intelligenceBall (mathematics)RobotMotion controlSimulation

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