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

页码：535 / 540

页数：6

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