Presentation 2012-05-22
Fall Detection Method Using Radio-type Sensor for Human Monitoring
Sho ISOBE, Kurato MAENO, Toshinari KAMAKURA,
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Abstract(in English) Human monitoring services are promising for aging society. In this area, falling is considered as high-risk incident for elderly person. It is reported that more than the half of adults 65 and older gets injured. To address this problem, we propose the fall detection method using Radio-type Sensor which provides a nonbinding way to recognize human activity. In this method, acceleration estimated using particle filter with the statistics value summarized from sensor beat signal is used to recognize 3 kinds of human activities include falling.
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Keyword(in English) Fall Detection / Radio-type Sensor / Particle Filter / Support Vector Machine
Paper # HCS2012-7,HIP2012-7
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Committee HCS
Conference Date 2012/5/15(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fall Detection Method Using Radio-type Sensor for Human Monitoring
Sub Title (in English)
Keyword(1) Fall Detection
Keyword(2) Radio-type Sensor
Keyword(3) Particle Filter
Keyword(4) Support Vector Machine
1st Author's Name Sho ISOBE
1st Author's Affiliation Corporate R&D Center, OKI Electric Industry Co., Ltd.()
2nd Author's Name Kurato MAENO
2nd Author's Affiliation Corporate R&D Center, OKI Electric Industry Co., Ltd.
3rd Author's Name Toshinari KAMAKURA
3rd Author's Affiliation Faculty of Science and Engineering, Chuo Univercity
Date 2012-05-22
Paper # HCS2012-7,HIP2012-7
Volume (vol) vol.112
Number (no) 45
Page pp.pp.-
#Pages 6
Date of Issue