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Module development and fundamental study toward high-speed and high-accuracy positioning of human hand

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

Year
2018
Citations
2
Access
Open access

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 constant position, circular or linear trajectory. Finally, we performed the task of catching a falling small ball, as a significantly difficult positioning task. Although this 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)SimulationHuman motionRobot

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