Project KINECT – Accuracy of the Kinect V2 sensor


Project KINECT

In physiotherapy currently a goniometer is generally used to measure an joint angle however this method cannot provide objective evidence because measuring results vary from therapist to therapist. A very expensive and complicated method is called stereophotogrammetry system which is considered as golden standard in analyzing joint angles. In this regard KinectV2 in addition with the essential software may have good potential as a reasonably priced measuring instrument supporting physical therapy. Furthermore KinectV2 could be applicable as therapeutic tool in „therapeutic games“ while treating stroke patients in neurology. For now there is no device or method which connects measurings of joint angles and therapeutic procedures.This connection between therapeutic treatment and documentation (measuring of joint angle) would be very gainful! So, if a patient would be using the Kinect at home to train motor skills, the therapist is able to see the process of the therapy; or rather “when was the training” “how long” “with which outcome”.In physical therapy a goniometer is used to measure the extend of motion because its handling is not very complicated however depending on the user the outcome may vary. Stereophotogrammetry systems, what is the state-of-the-art, are used whenever complex movements are measured in physiotherapy and sport science even though its application is not practical.

Test Phase:

So we had to do a lot of recordings simultaneously with the Kinect V2 sensor and the marker based system „VICON“ at the Institute of Sport Science, Vienna.

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Because of the unexpectedly high workload for the evaluation of the data and the comparison of the Kinect V2 and the VICON data, unfortunately the project had to be cancelled.




Kacheata Eath, BSc

Andreas Kraft, BSc

Former team members:

Eduard Ferenczi, BA


Advisor & Technical support:

Dipl.-Ing. (FH) Matthias Husinsky


A project at the St. Pölten University of Applied Sciences

Master Program Digitale Healthcare