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| N. Yoshimura, T. Maekawa, D. Amagata, and T. Hara, "Preliminary Investigation of Fine-Grained Gesture Recognition with Signal Super-Resolution," In IEEE International Conference on Pervasive Computing and Communications, pp. 484--487 March 2018. | |
| ID | 916 |
| 分類 | 国際会議 |
| タグ | fine-grained gesture investigation preliminary recognition signal super-resolution |
| 表題 (title) |
Preliminary Investigation of Fine-Grained Gesture Recognition with Signal Super-Resolution |
| 表題 (英文) |
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| 著者名 (author) |
Naoya Yoshimura,Takuya Maekawa,Daichi Amagata,Takahiro Hara |
| 英文著者名 (author) |
Naoya Yoshimura,Takuya Maekawa,,Takahiro Hara |
| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
Naoya Yoshimura,Takuya Maekawa,,Takahiro Hara |
| 書籍・会議録表題 (booktitle) |
IEEE International Conference on Pervasive Computing and Communications |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
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| 号数 (number) |
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| ページ範囲 (pages) |
484--487 |
| 組織名 (organization) |
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| 出版元 (publisher) |
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| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
3 |
| 出版年 (year) |
2018 |
| 採択率 (acceptance) |
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| URL |
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| 付加情報 (note) |
JST CREST JP- MJCR15E2, JSPS KAKENHI Grant Number JP16H06539 and JP17H04679 |
| 発表年度 |
2017年度 |
| 内容梗概 (abstract) |
This study investigates the feasibility of fine-grained gesture recognition using upsampled acceleration sensor data. Because the maximum sampling rate of smartwatch devices is limited by operating systems, we simulate high resolution acceleration data using a neural network from low resolution signals in order to capture distinguishing features of gestures containing high frequency components. |
| 論文電子ファイル | PID5178505.pdf (application/pdf) [一般閲覧可] |
| BiBTeXエントリ |
@inproceedings{id916,
title = {Preliminary Investigation of Fine-grained Gesture Recognition with Signal Super-resolution},
author = {Naoya Yoshimura and Takuya Maekawa and Daichi Amagata and Takahiro Hara},
booktitle = {IEEE International Conference on Pervasive Computing and Communications},
pages = {484--487},
month = {3},
year = {2018},
note = {JST CREST JP- MJCR15E2, JSPS KAKENHI Grant Number JP16H06539 and JP17H04679},
annote = {2017年度},
}
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