Contactless sleep quality monitoring through thermal vision

Abdallah Naser, Ahmad Lotfi, Junpei Zhong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Long-term sleep monitoring is essential in many vital health state monitoring applications, including detecting abnormal human behaviour during sleep to support the diagnosis of sleep disorders. Previous approaches to monitoring human behaviour during sleep have relied on inconvenient sensing methods such as wearable devices or intrusive sensing technologies, for example, cameras. This paper explores the potential application of the Thermal Sensor Array (TSA) to monitor human sleep. Humans usually cover their bodies during sleeping, affecting the TSA's ability to sense their infrared radiation. This paper overcomes these challenges by proposing a series of motion-based signal processing rather than processing the human physical appearance in the TSA output. A deterministic approach has been utilised to examine the proposed approach to detect abnormal human movement during sleep.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022
PublisherAssociation for Computing Machinery
Pages371-375
Number of pages5
ISBN (Electronic)9781450396318
DOIs
Publication statusPublished - 11 Jul 2022
Event15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022 - Corfu, Greece
Duration: 29 Jun 20221 Jul 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022
Country/TerritoryGreece
CityCorfu
Period29/06/221/07/22

Keywords

  • abnormal behaviour detection
  • human behaviour monitoring
  • human-centred approach
  • Sleep monitoring
  • thermal sensor array

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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