title: A Kinect based intelligent e-rehabilitation system in physical therapy.
abstract: This paper presents an intelligent Kinect and fuzzy inference system based e-rehabilitation system. The Kinect can detect the posture and motion of the patients while the fuzzy inference system can interpret the acquired data on the cognitive level. The system is capable to assess the initial posture and motion ranges of 20 joints. Using angles to describe the motion of the joints, exercise patterns can be developed for each patient. Using the exercise descriptors the fuzzy inference system can track the patient and deliver real-time feedback to maximize the efficiency of the rehabilitation. The first laboratory tests confirm the utility of this system for the initial posture detection, motion range and exercise tracking.
authors.affiliation: "Politehnica" University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers.
authors.forename: Norbert
authors.initials: N
authors.lastname: Gal
authors.affiliation: City Emergency Hospital - Medical Rehabilitation and Rheumatology Department Victor Babes University of Medicine and Pharmacy, Timisoara, Romania.
authors.forename: Diana
authors.initials: D
authors.lastname: Andrei
authors.affiliation: City Emergency Hospital - Medical Rehabilitation and Rheumatology Department Victor Babes University of Medicine and Pharmacy, Timisoara, Romania.
authors.forename: Dan Ion
authors.initials: DI
authors.lastname: Nemeş
authors.affiliation: City Emergency Hospital - Medical Rehabilitation and Rheumatology Department Victor Babes University of Medicine and Pharmacy, Timisoara, Romania.
authors.forename: Emanuela
authors.initials: E
authors.lastname: Nădăşan
authors.affiliation: "Politehnica" University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers.
authors.forename: Vasile
authors.initials: V
authors.lastname: Stoicu-Tivadar
mesh_terms: D034201:Computers, Handheld; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005081:Exercise Therapy / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods*; D000069550:Machine Learning; D063731:Mobile Applications; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods; D000069350:Telerehabilitation / Q000295:instrumentation / Q000379:methods*; D013813:Therapy, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D016896:Treatment Outcome; D014584:User-Computer Interface; D018910:Video Games