Motion Classification using Machine Learning on Embedded Devices
Monitoring of human motion classification provides several opportunities to aid the process of rehabilitation, exercise logging and much more. In this thesis, Inertial Measurement Unit (IMU) devices positioned on different body parts are used to collect accelerometer and gyroscope data. This data is then combined to predict what gym exercise is being performed by the user. Different architectures
