Digital Phenotype Collection System Utilizing Smart Devices

In this paper, we introduced a system that collects daily sleep data and daily routine data to explore the relationship between sleep and daily life. The daily data is quantified into various social and behavioral fingerprint information by analyzing sensor data obtained from carrying and using smartphones and smartwatches. By analyzing the quantified daily data in combination with the quality of sleep on the same day, we can discover factors that greatly affect sleep during daily life. To analyze the association between daily life and sleep quality, we described the sensor data collected daily and the system that generates descriptive features processed from the sensor data.