A User Independent Method for Identifying Hand Gestures with sEMG

Hitoshi Tamura; Kazuki Itou; Yasushi Kambayashi

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Paper

A User Independent Method for Identifying Hand Gestures with sEMG

In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT, 355-362, 2020 , Valletta, Malta

Authors: Hitoshi Tamura ; Kazuki Itou and Yasushi Kambayashi

Affiliation: Department of Robotics, Nippon Institute of Technology, Saitama, Japan

Keyword(s): Semg, Hand Gesture, Deep Learning, LSTM, Data Augmentation.

Abstract: We propose a method to determine hand gestures using sEMG (surface Electromyogram) measured from the forearm. The detection method uses the LSTM (Long Short Term Memory) model of RNN (Recurrent Neural Network). Although the conventional method requires the learning data of the user, this is a method that an unspecified number of users can use immediately by enhancing the data. We have confirmed that the accuracy does not change even if the mounting position of the sensor is shifted. We have shown the effectiveness of the data enhancement by numerical experiments.

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Paper citation in several formats:

Tamura, H.; Itou, K. and Kambayashi, Y. (2020). A User Independent Method for Identifying Hand Gestures with sEMG. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT; ISBN 978-989-758-395-7; ISSN 2184-433X, SciTePress, pages 355-362. DOI: 10.5220/0009370103550362

@conference{hamt20,
author={Hitoshi Tamura. and Kazuki Itou. and Yasushi Kambayashi.},
title={A User Independent Method for Identifying Hand Gestures with sEMG},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT},
year={2020},
pages={355-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009370103550362},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT
TI - A User Independent Method for Identifying Hand Gestures with sEMG
SN - 978-989-758-395-7
IS - 2184-433X
AU - Tamura, H.
AU - Itou, K.
AU - Kambayashi, Y.
PY - 2020
SP - 355
EP - 362
DO - 10.5220/0009370103550362
PB - SciTePress