The evaluation of the motor status of stroke patients and elderly people is done by using qualitative scales without standardization or measuring instruments. The scales are most common because they are relatively inexpensive and accessible, but suffer the disadvantage of being subjective, variable, and require prolonged training time. Moreover, assessment instruments, although more accurate and objective, have the problem of being heterogeneous, usually very expensive, and focused on specific goals. The rise in recent times of 3D sensors with high accuracy and low cost, some of them well known as the Microsoft Kinect, allows the use of motion analysis to quantify the deficit or success of a physiotherapeutic or drug treatment in a quantitative and standardized way, enabling the automatic comparison with standards of healthy people, and people with the same stage of disease, or similar characteristics. The aim of this work is to create a system using Microsoft Kinect for capturing and processing motor status of patients with reduced mobility in a non-invasive way, providing clinical feedback that allows the conduction of a quantitative and objective evaluation of patients, enabling monitoring of disease progression and reduced rehabilitation time.