Split BiRNN for real-time activity recognition using radar and deep learning Interuniversitair Micro-Electronica Centrum vzw Universiteit Gent
Radar systems can be used to perform human activity recognition in a privacy preserving manner. This can be achieved by using Deep Neural Networks, which are able to effectively process the complex radar data. Often these networks are large and do not scale well when processing a large amount of radar streams at once, for example when monitoring multiple rooms in a hospital. This work presents a framework that splits the processing of data in ...