Naviarm: Augmenting the learning of motor skills using a backpack-type robotic arm system

Azumi Maekawa, Shota Takahashi, M. H.D.Yamen Saraiji, Sohei Wakisaka, Hiroyasu Iwata, Masahiko Inami

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

We present a wearable haptic assistance robotic system for augmented motor learning called Naviarm. This system comprises two robotic arms that are mounted on a user's body and are used to transfer one person's motion to another offline. Naviarm pre-records the arm motion trajectories of an expert via the mounted robotic arms and then plays back these recorded trajectories to share the expert's body motion with a beginner. The Naviarm system is an ungrounded system and provides mobility for the user to conduct a variety of motions. In this paper, we focus on the temporal aspect of motor skill and use a mime performance as a case study learning task. We verified the system effectiveness for motor learning using the conducted experiments. The results suggest that the proposed system has benefits for learning sequential skills.

本文言語English
ホスト出版物のタイトルProceedings of the 10th Augmented Human International Conference, AH 2019
出版社Association for Computing Machinery
ISBN(電子版)9781450365475
DOI
出版ステータスPublished - 2019 3月 11
イベント10th Augmented Human International Conference, AH 2019 - Reims, France
継続期間: 2019 3月 112019 3月 12

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference10th Augmented Human International Conference, AH 2019
国/地域France
CityReims
Period19/3/1119/3/12

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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