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Computer vision has become and important tool in several fields of science, like Medicine and Biomechanics. In this work we made an analysis of upper limb movemnts from a kinematic strategy.The information is captured through Markerless Mocap, we obtain the spatial position of the most important joints of the body. We take this numeric values to process and translate them into specific information for the specialist in the physiotherapy field. As a complementary task we create discriminant bands of normal human movement using several curves of behaviour of the local population in an specifc group with similar physical characteristics. An specific support to the diagnosis is the quatitative data obtained from the curve of movement in a standard motion of a patient and the results of the comparisons with the discriminant bands. The system is programmed using Opensource tools with an easy installation without demanding special physical conditions and as a not expensive approach.

Computer Assisted Diagnosis of Upper Limbs Using Markerless Mocap and Discriminant Bands of Normal Movement