A fall detection system using low resolution infrared array sensor

Shota Mashiyama, Jihoon Hong, Tomoaki Ohtsuki

研究成果: Conference contribution

29 被引用数 (Scopus)

抄録

Nowadays, aging society is a big problem and demand for monitoring systems is becoming higher. Under this circumstance, a fall is a main factor of accidents at home. From this point of view, we need to detect falls expeditiously and correctly. However, usual methods like using a video camera or a wearable device have some issues in privacy and convenience. In this paper, we propose a system of fall detection using a low resolution infrared array sensor. The proposed system uses this sensor with advantages of privacy protection (low resolution), low cost (cheap sensor), and convenience (small device). We propose four features and based on them, classify activities as either a fall or a non-fall using k-nearest neighbor (k-NN) algorithm. We show a proof-of-concept of our proposed system using a commercial-off-the-shelf (COTS) hardware. Results of experiments show the detection rate of higher than 94 % irrespective of training data contains object's data or not.

本文言語English
ホスト出版物のタイトルIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2109-2113
ページ数5
2015-June
ISBN(印刷版)9781479949120
DOI
出版ステータスPublished - 2015 6月 25
イベント2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 - Washington, United States
継続期間: 2014 9月 22014 9月 5

Other

Other2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014
国/地域United States
CityWashington
Period14/9/214/9/5

ASJC Scopus subject areas

  • 電子工学および電気工学

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