Full body movements recognition  unsupervised learning approach with heuristic R-GDL method
We have used Gesture Description Language (GDL) for user actions recognition. A method for generation of knowledge base for GDL classifier has been proposed. The method analyzes unsegmented data recordings of gestures. The evaluation has been made on 770 samples of gym exercises. We obtained recognition rate at the level of 100% to 91%.
full body movements recognition unsupervised learning gesture description language gesture recognition syntactic classification reverse-gesture description language