Human Activity Recognition using Deep Learning and Sensor Fusion
The subject of this thesis is human activity recognition in health care. The data set used is the SBHAR data set. It contains accelerometer and gyroscope of 30 different individuals walking, walking upwards, walking downwards, sitting, standing and lying. The research questions is: How can we, using deep learning, understand more about and potentiallly improve Human activity recognition or HAR for
