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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 10th Augmented Human International Conference, AH 2019
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450365475
    DOIs
    Publication statusPublished - 2019 Mar 11
    Event10th Augmented Human International Conference, AH 2019 - Reims, France
    Duration: 2019 Mar 112019 Mar 12

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference10th Augmented Human International Conference, AH 2019
    CountryFrance
    CityReims
    Period19/3/1119/3/12

    Keywords

    • Augmented learning
    • Haptics
    • Motor learning
    • Robotics
    • Wearable device

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

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  • Cite this

    Maekawa, A., Takahashi, S., Saraiji, M. H. D. Y., Wakisaka, S., Iwata, H., & Inami, M. (2019). Naviarm: Augmenting the learning of motor skills using a backpack-type robotic arm system. In Proceedings of the 10th Augmented Human International Conference, AH 2019 [a38] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3311823.3311849