Multi-camera systems for rehabilitation therapies: a study of the precision of MicrosoftKinect sensors<FootNote> Project partially supported by Spanish Ministerio de Economíay Competitividad/FEDER (Nos. TIN2012-34003 and TIN2013-47074-C2-1-R) and FPU Scholarship (FPU13/03141) from the Spanish Government </FootNote><FootNote> A preliminary version was presented at the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, June 3–4, 2015, Spain </FootNote>

Abstract

This paper seeks to determine how the overlap of several infrared beams affects the tracked position of the user, depending on the angle of incidence of light, distance to the target, distance between sensors, and the number of capture devices used. We also try to show that under ideal conditions using several Kinect sensors increases the precision of the data collected. The results obtained can be used in the design of telerehabilitation environments in which several RGB-D cameras are needed to improve precision or increase the tracking range. A numerical analysis of the results is included and comparisons are made with the results of other studies. Finally, we describe a system that implements intelligent methods for the rehabilitation of patients based on the results of the tests carried out.

Keywords

Kinect sensor / Rehabilitation system / Capture precision / Multi-camera system

References

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