Diploma thesis
Smartphone assisted Burnout Prevention based on a Multi Sensor Activity Analysis
Content
Based on a previously defined model to identify the human behaviours and activities that might lead to burnout, a smartphone application will be implemented, which can detect those activity patterns with the help of the internal sensors. The application will promote a change of behaviour by raising awareness and giving tips and feedback for a better lifestyle.
Required skills
JAVA, C, C++, PostgreSQL, SQLite, Android, Machine Learning Algorithms.