Personalized and intelligent sleep and mood estimation modules with web based user interface for improving quality of life

Abstract

Elderly with declining cognitive functions, their family members and assistive care providers have all identified good “quality of life” as a central element in living with diseases such as dementia and mild cognitive impairment. Quality of life concerns mood, sleep, daily activities performance, pleasant engagements, physical mobility and healthy lifestyle. Sleep quality is essential for the human being to maintain good physical and emotional health. And sleep disorders can lead to severe physical and emotional effects, e.g. cognitive decline and mental health complications. So being able to measure and evaluate sleep quality and monitor mood is inseparably linked to every assistive living system. Sensor-based sleep and mood monitoring systems promise to prolong independent living of elderly people with declining physical and cognitive functions. In this paper, an implementation of sleep and mood monitoring and estimation of intelligent modules part of Ambient Assisted Living architecture is presented. A web application displays the computational results by providing information and recommendations on how to improve sleep hygiene to caregivers and coaches the elderly into a healthy sleeping behavior, based on their personal rhythm and health problems.