| Paper Abstract and Keywords |
| Presentation |
2024-02-23 16:00
A Piano-Fingering Recognition Method for Overlapped Fingers based on Machine Learning of Sequential Hand Images Takuto Yagawa, Ryo Miyoshi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) HIP2023-111 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The purpose of this study is to propose a piano-fingering recognition method for educating beginners and analyzing experts in piano player. In fingering recognition, overlapped fingers are considered a problem because the fingers are unobservable. However, the movement of hand have a tendency for each finger in keystroke due to the structure of the hand. We analyzed the appearance in keystroke for each finger and found that these tendencies were observed as before and after movements around the keyboard that was stroked. In this study, we proposed a fingering recognition method for overlapped fingers based on machine learning of sequential hand images around the keyboard that was stroked. In the experiment, after learning 25008 keystrokes, the proposed method achieves a recognition success rate of 90.2% for overlapped fingers. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Piano-Fingering Recognition / Human-sensing / Overlapped / CNN / Music / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 386, HIP2023-111, pp. 90-94, Feb. 2024. |
| Paper # |
HIP2023-111 |
| Date of Issue |
2024-02-15 (HIP) |
| 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 |
HIP2023-111 |
| Conference Information |
| Committee |
HIP ITE-HI VRPSY ASJ-H |
| Conference Date |
2024-02-22 - 2024-02-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
HIP |
| Conference Code |
2024-02-HIP-HI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Piano-Fingering Recognition Method for Overlapped Fingers based on Machine Learning of Sequential Hand Images |
| Sub Title (in English) |
|
| Keyword(1) |
Piano-Fingering Recognition |
| Keyword(2) |
Human-sensing |
| Keyword(3) |
Overlapped |
| Keyword(4) |
CNN |
| Keyword(5) |
Music |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Takuto Yagawa |
| 1st Author's Affiliation |
Chukyo University (Chukyo Univ.) |
| 2nd Author's Name |
Ryo Miyoshi |
| 2nd Author's Affiliation |
Chukyo University (Chukyo Univ.) |
| 3rd Author's Name |
Shuichi Akizuki |
| 3rd Author's Affiliation |
Chukyo University (Chukyo Univ.) |
| 4th Author's Name |
Manabu Hashimoto |
| 4th Author's Affiliation |
Chukyo University (Chukyo Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-02-23 16:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
HIP |
| Paper # |
HIP2023-111 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.386 |
| Page |
pp.90-94 |
| #Pages |
5 |
| Date of Issue |
2024-02-15 (HIP) |