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Self-Coaching of Forearm Pass with Humanoid Robot

Shigehiro TOYAMA, Ayami Kosaka, Fujio IKEDA, Takeshi Yasaka

Year
2017
Citations
2

Abstract

This study presents a new sports training support method by self-coaching with humanoid robot, and finds new possibilities of human robot interaction for sports training. The term "self-coaching" means that target player can coach himself or herself by modifying motion of the humanoid robot, which represents the target player's movement, for an ideal movement as a reference. As a result, the target player is expected to get deep recognition of the ideal movement and to acquire the skill swiftly. The forearm pass of volleyball, which is one of difficult sports skills to acquire, is selected as target skill of this study. An experimental result shows that the proposed self-coaching approach seems to have significant effectiveness to recognize the skill.

Keywords

CoachingHumanoid robotComputer scienceRobotHuman–computer interactionArtificial intelligenceMovement (music)ForearmSimulationComputer vision

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