Potential Use of Personal Tracking Device for Sleep Quality Assessment of Flight Attendant

Abstract

Sleep is a vital component of good health and well-being. However, working in some career, i.e. flight attendant, affect irregular sleep periods, and cause sleep problem. This paper presents the assessment of sleep quality for flight attendants by analyzing a set of images that are produced by a smartwatch application. The proposed method is an image processing technique to extract sleep data in three aspects: 1) sleep duration 2) the ratio of occurrences in each stage i.e. awake, REM, light, and deep 3) sequence of the sleeping stage. The results showed that the proposed techniques can analyze sleep duration, the ratio of occurrences in each stage, and the sequence of sleeping stage correctly 94.44%, 90.57% and 94.04%, respectively. The analysis information can be used to set up the crew's work schedules in order to increase the quality of life and work efficiency.