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| Presentation | 2013-08-01 16:00 Machine Learning-based Hand Gesture Identification using Doppler Sensor Junya Oikawa, Eiji Kamioka (Shibaura Inst. of Tech.)  MoNA2013-16 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the spread of electronic devices, the operation method for controlling the devices has been diversified. Gesture-based interface, which is a user-friendly and intuitive input operation, is also one of them. Detection of user’s gesture using a camera or an accelerometer has already been put into practice. However, they are not versatile since there are some constraints such as production cost, privacy issue and sensor’s fixing point. This study proposes a gesture identification method using multiple Doppler sensors. Concretely, hand gestures are detected by the Doppler sensors, and then each movement direction of the hand is identified. In this paper, the effectiveness of the proposed method will be stated through some experiments. In addition, the possibility of versatile use of it will be discussed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Doppler Sensor / Gesture Identification / Machine Learning / Artificial Neural Network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 168, MoNA2013-16, pp. 19-24, Aug. 2013. | |
| Paper # | MoNA2013-16 | |
| Date of Issue | 2013-07-25 (MoNA) | |
| ISSN | Print edition: ISSN 0913-5685 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 | MoNA2013-16 |
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| Conference Information | |
| Committee | MoNA |
| Conference Date | 2013-08-01 - 2013-08-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile network, Mobile application, Mobile multimedia, Mobile service, etc. |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2013-08-MoNA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine Learning-based Hand Gesture Identification using Doppler Sensor |
| Sub Title (in English) | |
| Keyword(1) | Doppler Sensor |
| Keyword(2) | Gesture Identification |
| Keyword(3) | Machine Learning |
| Keyword(4) | Artificial Neural Network |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Junya Oikawa |
| 1st Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 2nd Author's Name | Eiji Kamioka |
| 2nd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2013-08-01 16:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MoNA |
| Paper # | MoNA2013-16 |
| Volume (vol) | vol.113 |
| Number (no) | no.168 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2013-07-25 (MoNA) |
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