Presentation | 2017-01-20 An Investigation of Body Motion Identification Method using Radio Channel Characteristics for BAN Context-Aware Communications Yuki Ichikawa, Minseok Kim, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this article, human motion classification to realize context-aware BAN has been empirically investigated. We developed a custum system using a commercial cheap product of a sensor network, where a three-axis acceleration at multiple sensors and a radio signal strength between sensors and coordinator can be simultaneously measured. After preprocessing of interpolation and denoising for the raw data, the time domain features are calculated by using the practically available number of samples. Then, supervised learning based classfier identified the test set into the eight motions. The results illustrated that the radio sensor showed similar performance to the accelometer, but outperformed in identifying the static condition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | BAN / context awareness / radio channel / LQI / motion identification / machine learning / decision tree |
Paper # | MICT2016-74 |
Date of Issue | 2017-01-12 (MICT) |
Conference Information | |
Committee | ASN / MoNA / MICT |
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Conference Date | 2017/1/19(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Hiroshi Tohjo(NTT) / Hiroaki Morino(Shibaura Inst. of Tech.) / Masaru Sugimachi(National Cerebral and Cardiovascular Center) |
Vice Chair | Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Satoru Yamano(NEC) / Ryoichi Shinkuma(Kyoto Univ.) / Shinsuke Hara(Osaka City Univ.) / Takahiro Aoyagi(Tokyo Inst. of Tech.) |
Secretary | Hiroo Sekiya(Kanagawa Inst. of Tech.) / Hiraku Okada(NTT) / Satoru Yamano(Univ. of Tokyo) / Ryoichi Shinkuma(NTT DoCoMo) / Shinsuke Hara(Niigata Univ.) / Takahiro Aoyagi(Saga Univ.) |
Assistant | Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) / Shigemi Ishida(Kyushu Univ.) / Hisashi Kurasawa(NTT) / Koichi Nihei(NEC) / Kohei Ohno(Meiji Univ.) / Keisuke Shima(Yokohama National Univ.) / Tomoko Tateyama(Hiroshima Inst. of Tech.) / Ami Tanaka(Ritsumeikan Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) |
Paper Information | |
Registration To | Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Mobile Network and Applications / Technical Committee on Healthcare and Medical Information Communication Technology |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Investigation of Body Motion Identification Method using Radio Channel Characteristics for BAN Context-Aware Communications |
Sub Title (in English) | |
Keyword(1) | BAN |
Keyword(2) | context awareness |
Keyword(3) | radio channel |
Keyword(4) | LQI |
Keyword(5) | motion identification |
Keyword(6) | machine learning |
Keyword(7) | decision tree |
1st Author's Name | Yuki Ichikawa |
1st Author's Affiliation | Niigata University(Niigata Univ.) |
2nd Author's Name | Minseok Kim |
2nd Author's Affiliation | Niigata University(Niigata Univ.) |
Date | 2017-01-20 |
Paper # | MICT2016-74 |
Volume (vol) | vol.116 |
Number (no) | MICT-408 |
Page | pp.pp.53-56(MICT), |
#Pages | 4 |
Date of Issue | 2017-01-12 (MICT) |