Markerless Gait Analysis Vision System for Real-time Gait Monitoring

被引：0

作者：

Andre, Joao ^{[1
]}

Lopes, Joao ^{[1
]}

Palermo, Manuel ^{[1
]}

Goncalves, Diogo ^{[1
]}

Matias, Ana ^{[2
]}

Pereira, Fatima ^{[2
]}

Afonso, Jose ^{[1
]}

Seabra, Eurico ^{[1
]}

Cerqueira, Joao ^{[3
]}

Santos, Cristina ^{[1
]}

机构：

[1] Univ Minho, Braga, Portugal

[2] Hosp Braga, Braga, Portugal

[3] 2CA Braga, Braga, Portugal

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2020) | 2020年

关键词：

gait; rehabilitation; smart walker; vision;

D O I：

10.1109/icarsc49921.2020.9096121

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

On this paper a vision-based contact- and markerless method for gait evaluation is proposed, and validated in different experimental setups against commercial motion capture systems (Vicon) and inertial gait analysis tools (GaitShoes). While the development goal is its integration on the ASBGo Smart Walker platform, only an inexpensive depth camera is required. It is shown to have reasonable results when computing gait metrics in real time, in different experimental setups, from different walker types, vision hardware and walking scenarios. Performance is evaluated through RMSD values for several gait metrics. Results illustrate that the proposed approach can be a valuable non-invasive, contactless and low cost alternative to gait analysis systems used in clinical rehabilitation environments.

引用

页码：269 / 274

页数：6

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