セッションID: 2A1-L05
会議情報
主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2020
開催日: 2020/05/27 - 2020/05/30
人支援ロボットの受け渡し動作のための手形状認識システムの開発
―CNNを用いた認識システムの評価と検討―
詳細
主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2020
開催日: 2020/05/27 - 2020/05/30
The purpose of this study is to take over the interaction between robot and human. This paper describes a hand recognition system. Training is performed by using the object recognition method YOLO. There are three versions of YOLO. The hand image dataset is split into three training datasets of 1,000, 3,000 and 10,000 images and is used for training three versions of YOLO. The evaluation is performed using the class-specific confidence score and the evaluation indexes. In the case of using 10,000 images, the average value of recognition confidence exceeded 90% in all methods. In the evaluation, YOLOv1 is considered effective when the number of classes to be recognized is small.
