Classifying Motion Patterns of Bikes using Machine Learning
Electric bikes have become ubiquitous in traffic, and with a growing user base and expensive prices, a demand for bike protection is increasing. Bike protection applications could include detecting and notifying the owner if their bike has been stolen or fallen over. This thesis aims to develop solutions for recognizing and classifying motion patterns of an electric bike to allow for improvements