Human Motion Detection based on Low Resolution Infrared Array Sensor

Shigeyuki Tateno, Fanxing Meng, Renzhong Qian, Tong Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the aggravating trend of aging of population, the population aged over 60 years of age is growing faster than any other age groups. Under these circumstances, the number of elderly people living alone is increasing. Therefore, there is increasing expectation for elderly monitoring services which can detect their general activities or emergency situations such as having a fall. Keeping the daily fundamental activities of the elderly is also important to prevent future accidents. In this paper, from the perspective of general versatility and privacy, an activity recognition method using a low-resolution infrared array sensor is proposed. The system can overcome the limitation of exist methods such as an invasion of privacy and have a wider application. A long short-term memory classifier is applied to this system in order to improve the accuracy. Experiments show that the system successfully achieves the aim of higher-precision human motion detection.

Original languageEnglish
Title of host publication2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1016-1021
Number of pages6
ISBN (Electronic)9781728110899
Publication statusPublished - 2020 Sep 23
Event59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020 - Chiang Mai, Thailand
Duration: 2020 Sep 232020 Sep 26

Publication series

Name2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020

Conference

Conference59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
CountryThailand
CityChiang Mai
Period20/9/2320/9/26

Keywords

  • human motion detection
  • infrared array sensor
  • long short-term memory

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering

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