A biofeedback system for sleep management

Sadek Hamdan, Hussein Al Osman, Mohamad Eid, Abdelmotaleb El Saddik

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

Abstract

Sleep is state of rest necessary for human wellbeing and survival. Low quality sleep during the night affects human performance during the day and can lead to serious illnesses and disorders. In this paper we propose a multimodal system that monitors the quality of sleep and adapts the ambient environment where user sleeps in order to optimize the sleeping conditions and eventually the quality of sleep. The system generates a sleep record that contains a sleep quality index based on multiple biofeedback measurement from user. A feasibly study with sixty subjects is conducted to shape the system requirements and meet user expectations. The results showed that more than eighty percent of the participants realize the need for the proposed system and want the system to generate a sleep record and to control the ambient environment. Only five percent of the participants disagree that the system would improve the quality of sleep.

Original languageEnglish (US)
Title of host publication2012 IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012 - Proceedings
Pages133-137
Number of pages5
DOIs
StatePublished - 2012
Event2012 10th IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012 - Magdeburg, Germany
Duration: Nov 16 2012Nov 18 2012

Publication series

Name2012 IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012 - Proceedings

Other

Other2012 10th IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012
CountryGermany
CityMagdeburg
Period11/16/1211/18/12

Keywords

  • ambient intelligence
  • biofeedback system
  • sleep index
  • sleep management
  • wellbeing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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