Multi-label classification for concurrent activities using wearable-sensor data

We frequently perform multiple activities simultaneously in daily life, such as drinking coffee while walking or conversing with a friend while standing. When the traditional single-label output is preferred for activity recognition with wearable sensor data, this requires multiple classes with many possibilities for concurrent activities, such as creating a class for "drinking coffee while walking" and another class for "talking while walking". Instead, this study will investigate a multi-label output system to provide information about which activities are performed together.

Co-advisor: Sümeyye Ağaç