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Proceedings of CAD'16, 2016, 210-214
Rgb-D Based Motion Capture and Data Analysis of Prosthetic Patients’ Gait

Claudio Comotti, Daniele Regazzoni, Caterina Rizzi, University of Bergamo
Giorgio Colombo, Politecnic University of Milan

Abstract. The use of sensors and measurement devices for medical purpose is creating new opportunities for both hospital and home applications. Some devices for monitoring or prevention, for instance for blood glucose, blood pressure or oxygen saturation measures, are already mature and widespread. On the other hand, medical sensors are not diffused for other purposes, such as for orthopedic evaluation of patient’s motion or walking capabilities. This kind of measurement implies a complex evaluation of a number of interlinked parameters that, nowadays, are generally left to the personal skill and experience of the physician. Introducing a robust and standard method for acquiring and elaborating motion data could bring to a number of benefits among which the shift from qualitative to quantitative result of gait analysis, the possibility to store and compare data over time and to link them to treatment and prosthesis characteristics. The paper focuses on the way low cost Motion Capture (Mocap) techniques can be adopted to automatically analyze gait features of patients having a lower limb prosthesis. After showing the way Mocap is performed, the paper presents the results obtained with a real patient acquired while walking with a passive and with an active prosthetic knee.

Keywords. Gait analysis, Kinect, lower limb prosthesis, gait abnormalities

DOI: 10.14733/cadconfP.2016.210-214