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M.Luštrek, M.Gams. Prepoznava Položaja Telesa S Strjnim Učenjem.

IS 2008, 12-16 October 2009, Ljubjana (Slovenia). Proceedings of the 11th International Multiconference Information Society-IS 2008, Volume A.

Abstract:

 We used machine learning to reconstruct body posture from the coordinates of 12 tags attached to joints. Three sets of attributes were used: (1) tag coordinates and derived attributed in a reference coordinate system, (2) coordinates and derived attributes in a body coordinate system, and (3) angles between body parts. Eight machine learning algorithms were tried. We found that the best attributes are in the reference coordinate system and the best machine learning algorithm is Support Vector Machine.