A prototype has been developed in the scope of the master thesis mActivityClassify. This is a solution that allows to classify activities of daily living. It consists of a real time classification algorithm using an Android smartphone in the pocket and an external smartwatch in the forearm. We asked participants to try out the system, by making some everyday gestures we use in activities of daily living.
The correct assessment of different activities can be directly applied in the gamification of rehabilitation exercises for patients in the process of post-stroke rehabilitation.
