A Weighted Late Fusion Framework for Recognizing Human Activity from Wearable Sensors

Following the technological advancement and the constantly emerging assisted living applications, sensor-based activity recognition research receives great attention. Until recently, the majority of relevant research involved extracting knowledge out of single modalities, however, when individual sensors performances are not satisfactory, combining information from multiple sensors can be of use and improve the activity recognition rate. Early...