Deep User Identification based on Motion Patterns
Smart environments require to identify users in a continuous, effective, and unobtrusive manner. However, existing approaches are only able to work when users execute specific activities, and typically their performance degrades as more users are considered.
Devise and implement a machine learning approach to continuously identify users in indoor environments.
- Eagerness to learn and work hard
- Programming experience
- Some hands-on experience in machine learning