An Infrared Array Sensor-Based Method for Localizing and Counting People for Health Care and Monitoring

Mondher Bouazizi, Tomoaki Ohtsuki

研究成果: Conference contribution

抄録

To build a system for monitoring elderly people living alone, an important step needs to be done: identifying the presence/absence of the person being monitored and his location. Such task has several applications that we discuss in this paper, and remains very important. Several techniques were proposed in the literature. However, most of them suffer from issues related to privacy, coverage or convenience. In the current paper, we propose an infrared array sensor-based approach to detect the presence/absence of a person in a room. We used a wide angle low resolution sensor (i.e., 32×24 pixels) to collect heat-related information from the area monitored, and used Deep Learning (DL) to identify the presence of up to 3 people with an accuracy reaching 97%. Our approach also detects of the presence or absence of a person with a 100% accuracy. Nevertheless, it allows identifying the location of the detected people within a room of dimensions 4×7.4 m with a margin of 0.3 m.

本文言語English
ホスト出版物のタイトル42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
ホスト出版物のサブタイトルEnabling Innovative Technologies for Global Healthcare, EMBC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4151-4155
ページ数5
ISBN(電子版)9781728119908
DOI
出版ステータスPublished - 2020 7
イベント42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
継続期間: 2020 7 202020 7 24

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2020-July
ISSN(印刷版)1557-170X

Conference

Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
CountryCanada
CityMontreal
Period20/7/2020/7/24

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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