| Conference Information |
| Committee |
RISING |
| Conference Date |
2019-11-26 - 2019-11-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Researches on Super-Intelligent Networking, etc. |
| Paper Information |
| Registration To |
RISING |
| Conference Code |
2019-11-RISING |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Reliable and Low-Energy Wireless Body Area Network by Machine Learning |
| Sub Title (in English) |
Transmission Power Control based on Human Motion Classification using Features Automatically Extracted From Signal Strength |
| Keyword(1) |
Wireless body area networks |
| Keyword(2) |
Transmission power control |
| Keyword(3) |
Human motion classification |
| Keyword(4) |
Machine learning |
| Keyword(5) |
Feature extraction |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Shintaro Sano |
| 1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name |
Takahiro Aoyagi |
| 2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
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| Speaker |
Author-1 |
| Date Time |
2019-11-26 14:10:00 |
| Presentation Time |
50 minutes |
| Registration for |
RISING |
| Paper # |
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| Volume (vol) |
vol. |
| Number (no) |
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| Page |
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