KULeuven - ADVISE research group's repositories
SINS_database
This repository provides information on how to use the SINS database along with some example code. The SINS Dataset is composed of continuous audio recordings of daily activities performed in a home environment together with manual annotations.
DynSensActPaper
Repository containing files to reproduce parts of the paper on "Dynamic sensor activation and decision-level fusion in Wireless Acoustic Sensor Networks for classification of domestic activities"