Sleep Quality Monitoring with Human Assisted Corrections.

Quality of life and wellness are heavily affected by sleep health, especially for older people who choose to remain active in the workforce. Work ability and efficiency are correlated to sleep quality. Several non-automated sleep assessment tools have been used by professionals in the healthcare industry. These tools may rely on the user report of sleep quality perception. There also are objective tools that can diagnose sleep disorder only for a limited amount of time in a hospital setting due to increased cost and heavy being very unwieldy in a house setting. This paper aims to present the SmartWork project approach for human assisted automated sleep quality assessment. The suggested method emphasizes the triggering mechanisms based on behavioural and lifestyle routine to assist an automated system in correcting the results for personalized scoring for each user. This work aims to guide older people in adopting a healthier sleep habit to enhance their sleep quality and increase satisfaction.