Analyzing the contribution of different passively collected data to predict Stress and Depression
Analyzing the contribution of different passively collected data to predict Stress and Depression
The possibility of recognizing diverse aspects of human behavior and environmental context from passively captured data motivates its use for mental health assessment. In this paper, we analyze the contribution of different passively collected sensor data types (WiFi, GPS, Social interaction, Phone Log, Physical Activity, Audio, and Academic features) to …