Forschungsthemen
[] User Adaptive Software For Exhaustion Detection Using A Myo Armband
The ongoing developments in the field of wearable computing with new presice sensor systems and miniature microcontroller who can easely be integrated in common clothes and accessories enabled new application areas like fitness tracking and health monitoring. With this new possibilities its easy possible to do reasoning from human vital funtions to its exhaustion. The Myo Armband device with the build in EMG and IMU sensors is one possibility for implementing this task. In this thesis the student has to use data provided by EMG and IMU sensors build into Myo Armband to find a suitable model for exhaustion detection. A literature analyze regarding to this topic should be done. One important requirement of software system is its adaptivity to user specific properties. During this thesis a software model for exhaustion representation has to be built by regarding user specific properties. The exhaustion of a human ist not only depending form the task also gender or age should be taken into account. The software should be implemented by using the Myo Armband. A short evaluation should be done with a weight lifting scenario. In this scenario a user has to lift a weight with the arm where the Myo Armband is attached to and the exhaustion could be detected.
Betreuer: Maria Piechnick-:#-#:- Jan Falkenberg