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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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
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
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)