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Open AccessArticle

A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs

Edison Desarrollos, S.L., 44002 Teruel, Spain
Institute of New Imaging Technologies, Universitat Jaume I, 12071 Castellón, Spain
E.U Politécnica, Universidad de Zaragoza, 44003 Teruel, Spain
Author to whom correspondence should be addressed.
This manuscript is an extended version of the conference paper: Fuertes-Muñoz G., Gallardo-Casero J., Mollineda-Cárdenas R.A. Usability Study of a Kinect-Based Rehabilitation Tool for the Upper Limbs. In Proceedings of the World Conference on Information Systems and Technologies, Galicia, Spain, 16–19 April 2019.
Sensors 2019, 19(16), 3478;
Received: 20 June 2019 / Revised: 30 July 2019 / Accepted: 7 August 2019 / Published: 9 August 2019
(This article belongs to the Special Issue Multi-Sensor-Based Intelligent Systems for Physical Rehabilitation)
Current physiotherapy services may not be effective or suitable for certain patients due to lack of motivation, poor adherence to exercises, insufficient supervision and feedback or, in the worst case, refusal to continue with the rehabilitation plan. This paper introduces a novel approach for rehabilitation of upper limbs through KineActiv, a platform based on Microsoft Kinect v2 and developed in Unity Engine. KineActiv proposes exergames to encourage patients to perform rehabilitation exercises prescribed by a specialist, controls the patient′s performance, and corrects execution errors on the fly. KineActiv comprises a web platform where the physiotherapist can review session results, monitor patient health, and adjust rehabilitation routines. We recruited 10 patients for assessing the system usability as well as the system performance. Results show that KineActiv is a usable, enjoyable and reliable system, that does not cause any negative feelings. View Full-Text
Keywords: rehabilitation; upper limbs; kinect; augmented reality; usability study; RGBD sensor rehabilitation; upper limbs; kinect; augmented reality; usability study; RGBD sensor
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Fuertes Muñoz, G.; Mollineda, R.A.; Gallardo Casero, J.; Pla, F. A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs. Sensors 2019, 19, 3478.

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