Home physiotherapy rehabilitation based on RGB-D sensors: a hybrid approach to the joints angular range of motion estima
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SHORT ORIGINAL PAPER
Home physiotherapy rehabilitation based on RGB-D sensors: a hybrid approach to the joints angular range of motion estimation Francesca Uccheddu1 · Lapo Governi1 · Rocco Furferi1
· Monica Carfagni1
Received: 5 March 2020 / Accepted: 24 September 2020 © Springer-Verlag France SAS, part of Springer Nature 2020
Abstract Home-based recovery is gradually being used to reduce health-care costs; however, with a shorter stay in the hospital, the risk of growing adverse clinical outcomes exists, mainly due to the lack of motivation in the patient and on the difficulties in performing a strict control by the doctors. This is particularly true for patients who went under knee arthroplasty or total knee replacement who should strictly follow the effective recovery protocols delivered by the doctors. The development of tools for measuring the functional recovery of the operated joint is therefore deemed crucial both for the patient to feel motivated in performing the right number of exercises, and for the doctor that can follow him/her up remotely. One of the most recognized methods for assessing the correctness of a series of recovery exercises, is to monitor the pose of the patient in real-time so as to evaluate its posture in his range of motion. Accordingly, in this paper a novel hybrid approach to 3D human pose estimation is proposed. A first estimation of 2D body pose of the patient in the scene is given, then the depth information coming from the RGB-D sensor is exploited to estimate the joints 3D coordinates. The proposed algorithm proved to overcome the main limitation of using a pure 3D skeleton tracking algorithm during physiotherapy rehabilitation. Keywords RGB-D camera · 3D · Body tracking · Joints estimation · Data fusion
1 Introduction The demand for joint replacement surgery is growing as the population ages; projection studies expect a sharp increase in hip and knee replacements over the next 30 years among elderly people which expect a longer and better quality of life. Rehabilitation after surgery has been shown to be critical to prevent postoperative deterioration and to maintain a high functional level [1]. Accordingly, the role of a tool for measuring the functional recovery of the operated joint is crucial to both the patient to be motivated in performing the right number of exercises, and the doc-tor/physiotherapist
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Rocco Furferi [email protected] Francesca Uccheddu [email protected] Lapo Governi [email protected] Monica Carfagni [email protected]
1
Department of Industrial Engineering, University of Florence, Via di Santa Marta, 3, 50134 Firenze, Italy
that can follow up the patient remotely. The recent availability of smart cameras [2] and affordable RGB-Depth sensors [3] allows for cost-effective estimation and tracking of body poses. Nowadays, marker-based motion capture systems represent the more reliable way to perform Human Body Pose Estimation. Such devices show great accuracy results (less than 1 mm), but they are very expensive and requi
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