A Physiotheraphy Coaching System based on Kinect Sensor

被引：0
|
作者：
Saratean, Timeea [1 ]
Antal, Marcel [1 ]
Pop, Claudia [1 ]
Cioara, Tudor [1 ]
Salomie, Ioan [1 ]
机构：
[1] Tech Univ Cluj Napoca, Comp Sci Dept, Cluj Napoca, Romania
来源：
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2020) | 2020年
基金：
欧盟地平线“2020”;
关键词：
Physiotherapy; Kinect; Exercise Detection; Effort Based Parametrization;
D O I：
10.1109/iccp51029.2020.9266178
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the issue of performing physiotherapy treatments remote, at home, by proposing a personal coaching system capable of surveilling the correctness of the exercises and the adherence to the rehabilitation program established by doctors. For identifying the performed exercises, we use a Microsoft Kinect Sensor on top of which we have developed an exercise-detection algorithm part of a recognition module and a user-friendly web interface. The results show that the proposed solution can be successfully used for performing remote physiotherapy exercises, guided by physiotherapists, which brings a major advantage in scenarios as the one brought by the SARS-CoV-2 (COVID19) context.
引用
收藏
页码：535 / 540
页数：6
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