| Paper Abstract and Keywords |
| Presentation |
2019-11-26 10:30
[Invited Lecture]
Wearable Body Motion Classification System using Low-Cost Wireless Sensor Network
Masahiro Mitta, Minseok Kim (Niigata Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this work, we developed a real-time motion identification system using the radio channel characteristics of wearable body area network (WBAN). We built up a custom wearable BAN channel measurement system with a commercial off-the-shelf sensor network system, where a radio signal strength between four sensors and coordinator could be measured. After preprocessing of interpolation and standardization for the measured raw data, the time domain features are calculated, and then body motion is identified by machine learning algorithm. Random forest based on decision tree learning was selected as the machine learning method because it is suitable for real-time processing where the calculation cost is low and data must be processed one after another. We measured radio channel characteristic data from multiple subjects, evaluated the classification accuracy of the motion identification system, and showed that it can be classified sufficiently. In addition, We measured the demonstration using the built real-time motion identification system, and revealed its potential for practical use in a variety of daily life applications. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
motion classification / machine learning / BAN / wearable / real-time / LQI / / |
| Reference Info. |
IEICE Tech. Rep. |
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| 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) |
Wearable Body Motion Classification System using Low-Cost Wireless Sensor Network |
| Sub Title (in English) |
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| Keyword(1) |
motion classification |
| Keyword(2) |
machine learning |
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BAN |
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wearable |
| Keyword(5) |
real-time |
| Keyword(6) |
LQI |
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| 1st Author's Name |
Masahiro Mitta |
| 1st Author's Affiliation |
Niigata University (Niigata Univ.) |
| 2nd Author's Name |
Minseok Kim |
| 2nd Author's Affiliation |
Niigata University (Niigata Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2019-11-26 10:30:00 |
| Presentation Time |
50 minutes |
| Registration for |
RISING |
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vol. |
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