@inproceedings{e67a5e46b417402a84a58c35388b337a,
title = "Naviarm: Augmenting the learning of motor skills using a backpack-type robotic arm system",
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.",
keywords = "Augmented learning, Haptics, Motor learning, Robotics, Wearable device",
author = "Azumi Maekawa and Shota Takahashi and Saraiji, {M. H.D.Yamen} and Sohei Wakisaka and Hiroyasu Iwata and Masahiko Inami",
note = "Funding Information: We would like to thank G. Ganesh, M. Kitazaki, M. Sugimoto, and Y. Miyawaki for useful advice. This project was supported by JST ERATO Grant Number JPM-JER1701, Japan. Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 10th Augmented Human International Conference, AH 2019 ; Conference date: 11-03-2019 Through 12-03-2019",
year = "2019",
month = mar,
day = "11",
doi = "10.1145/3311823.3311849",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 10th Augmented Human International Conference, AH 2019",
}