| Paper Abstract and Keywords |
| Presentation |
2023-03-13 13:10
sEMG-based Gesture Authentication for Smartwatch Akihisa Watanabe, Ryo Iijima, Tatsuya Mori (Waseda Univ.,) ICSS2022-50 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We propose a gesture-based user recognition system using sEMG signals for smartwatches.
We designed the system to realize sEMG authentication with an inexpensive 1-channel sEMG sensor, whereas expensive medical devices with 32 or more channels have been used in the previous researches.
We conducted preprocessing, feature extraction, machine learning model construction, and evaluation of 11 types of gestures for 19 experimental participants.
We conducted a user study with 19 participants on 11 types of gestures to collect sEMG data, and conducted preprocessing, feature extraction, machine learning model construction, and evaluation.
The basic evaluation showed that the models can be constructed with high accuracy (AUC=95%, EER=11%), and that the percentage reduction in AUC by robustness evaluation is within 1-2%, indicating that the models are robust against attacks assumed in a real-world scenario. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Biometrics / Bio-signals / surface Electromyography (sEMG) / User recognition by gesture / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 422, ICSS2022-50, pp. 13-18, March 2023. |
| Paper # |
ICSS2022-50 |
| Date of Issue |
2023-03-06 (ICSS) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
ICSS2022-50 |
| Conference Information |
| Committee |
ICSS IPSJ-SPT |
| Conference Date |
2023-03-13 - 2023-03-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawaken Seinenkaikan |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Security, Trust, etc. |
| Paper Information |
| Registration To |
ICSS |
| Conference Code |
2023-03-ICSS-SPT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
sEMG-based Gesture Authentication for Smartwatch |
| Sub Title (in English) |
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| Keyword(1) |
Biometrics |
| Keyword(2) |
Bio-signals |
| Keyword(3) |
surface Electromyography (sEMG) |
| Keyword(4) |
User recognition by gesture |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Akihisa Watanabe |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.,) |
| 2nd Author's Name |
Ryo Iijima |
| 2nd Author's Affiliation |
Waseda University (Waseda Univ.,) |
| 3rd Author's Name |
Tatsuya Mori |
| 3rd Author's Affiliation |
Waseda University (Waseda Univ.,) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-13 13:10:00 |
| Presentation Time |
20 minutes |
| Registration for |
ICSS |
| Paper # |
ICSS2022-50 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.422 |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2023-03-06 (ICSS) |