Sleeping Movement Detection towards Mental Health Indicators - A Review

Fernando Luis-Ferreira, Joao Giao, Joao Sarraipa, Ricardo Jardim-Goncalves, Gary McManus, Philip O'Brien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sleep is a natural requirement of human beings that is common across most mammal species. The duration of sleep periods each day is a key factor to health status and, in general, to a person's health and wellbeing. In face of those facts, it is important to have a measurement of sleep duration and bodily activity during this sleep. In the last years some fitness devices in the market have been designed to track activity and provide indications about calorie expenditure as well as intake, along with specific sleep indicators. Such measures lack precision, as most of those are wrist worn devices and thus providing intelligence about upper arm movement while lacking in information about the steadiness of the human body as a whole. The present work explores some existing static solutions in the market and provides a feasible alternative for sleep movement detection. The research aims to study the sleep patterns of cancer patients that have undergone treatment cycles, thus providing indicators about their mental health status.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728170374
DOIs
Publication statusPublished - Jun 2020
Event2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020 - Virtual, Cardiff, United Kingdom
Duration: 15 Jun 202017 Jun 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020

Conference

Conference2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020
Country/TerritoryUnited Kingdom
CityVirtual, Cardiff
Period15/06/202017/06/2020

Keywords

  • IoT
  • Mental health indicators
  • Sleep monitoring devices

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