Devise and implement a machine learning approach to continuously identify users in indoor environments based on inertial sensors in a smart watch. The approach is expected to be empirically evaluated in a large dataset that corresponds as much as possible to realistic scenarios. The project includes the development of an app to collect inertial sensors data effectively and efficiently on a smart watch (specifically, apple Watch).
- Programming experience required
- Python would be relevant
- hands-on experience programming for iOS would also be relevant
- Some hands-on experience in machine learning
- Eagerness to learn and work hard