Activity recognition using low resolution infrared array sensor

Shota Mashiyama, Jihoon Hong, Tomoaki Ohtsuki

研究成果: Conference contribution

41 被引用数 (Scopus)

抄録

Now, aging society is a worldwide problem, and the population of people aged over 60 years is growing faster than any other age group. Therefore, monitoring services for elderly people are attracting a great deal of attention. We have proposed a fall detection method using a low resolution infrared array sensor to inform an unexpected falling in our previous work. However, knowing daily fundamental activities of elderly people is also important to prevent future accidents. In this paper, we propose an activity recognition method using a low resolution infrared array sensor. This sensor can detect temperature on a two dimensional area. From the viewpoint of general versatility (available in darkness), cost, size, privacy (low resolution), and availability (commercial off-the-shelf), this sensor is better than other sensing devices like video cameras, Doppler radars, acceleration sensors, and so on. In the proposed method, temperature distribution obtained from the sensor is analyzed and classified into five fundamental states: "No event", "Stopping", "Walking", "Sitting", and "Falling" (emergency situation). As a result of experiments, our proposed method achieved recognition accuracy of 100 %, 94.8 %, 99.9 %, and 78.6 % respectively. In particular, 100 % accuracy of "Falling" recognition was achieved.

本文言語English
ホスト出版物のタイトルIEEE International Conference on Communications
出版社Institute of Electrical and Electronics Engineers Inc.
ページ495-500
ページ数6
2015-September
ISBN(印刷版)9781467364324
DOI
出版ステータスPublished - 2015 9月 9
イベントIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
継続期間: 2015 6月 82015 6月 12

Other

OtherIEEE International Conference on Communications, ICC 2015
国/地域United Kingdom
CityLondon
Period15/6/815/6/12

ASJC Scopus subject areas

  • 電子工学および電気工学
  • コンピュータ ネットワークおよび通信

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