ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P2-I07
会議情報

手指姿勢と指先接触力に基づく縫製作業の動作分類
*石川 陽久高瀬 裕山崎 公俊
著者情報
キーワード: haptic, Deep learning, Desk work
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抄録

This paper describes a classification method of sewing operation using operator’s hands posture and fingertip force. We construct a measurement system which is mainly consists of an RGBD sensor and fingertip force sensors made of strain gauges. The sensors measure operator’s hands posture and fingertip force. We make sewing operations classification model using these two kinds of data. The proof experiment shows that the proposed method can not only classify sewing actions, but can also extract the operator’s motion data in detail.

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