Real-time approach for gait analysis using the Kinect v2 sensor for clinical assessment purpose

被引：6

作者：

Burle, Alexandre de Queiroz ^{[1
,2
]}

de Gusmao Lafayette, Thiago Buarque ^{[1
,2
]}

Fonseca, Jose Roberto ^{[1
,2
]}

Teichrieb, Veronica ^{[1
]}

Fontes Da Gama, Alana Elza ^{[1
,2
]}

机构：

[1] Univ Fed Pernambuco UFPE, Voxar Labs, Informat Ctr, Recife, PE, Brazil

[2] Univ Fed Pernambuco UFPE, Rehabil Engn Res Grp, Biomed Engn Dept, Recife, PE, Brazil

来源：

2020 22ND SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR 2020) | 2020年

关键词：

Kinect v2; Gait Analysis; Real-time; Clinical Environment; RBG-D sensor; MOTION CAPTURE; RECOGNITION; PARAMETERS; SYSTEM;

D O I：

10.1109/SVR51698.2020.00034

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Gait analysis is often performed in clinical environments to evaluate the patient's walk capability and help the rehabilitation process. In a walking test, real-time feedback is fundamental for the healthcare professional to evaluate the gait quality, but the high cost of golden standard equipment is a limiting factor. After Microsoft Kinect v2 was released, many studies were published suggesting that this RGB-D sensor could be used for clinical purposes. This research analyzed 75 different gait samples with a real-time approach to compare the results with each parameter's real measurements. Results showed that step length outcomes are accurate and stride length outcomes are precise. Regarding kinematic parameters, knee and hip angles indicate that these joints may be used for gait analysis, but feet angles were not reliable.

引用

页码：144 / 153

页数：10

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