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Contactless Gait Assessment in Home-like Environments

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BORIS DOI
10.48350/159764
Date of Publication
September 16, 2021
Publication Type
Article
Division/Institute

ARTORG Center - Geron...

Author
Botros, Angela Amiraorcid-logo
ARTORG Center - Gerontechnology and Rehabilitation
Gyger, Nathan Thibault
ARTORG Center - Gerontechnology and Rehabilitation
Schütz, Narayan
ARTORG Center - Gerontechnology and Rehabilitation
ARTORG Center for Biomedical Engineering Research
Single, Michael Andreas
ARTORG Center - Gerontechnology and Rehabilitation
Nef, Tobiasorcid-logo
ARTORG Center - Gerontechnology and Rehabilitation
Gerber, Stephan Moreno
ARTORG Center - Gerontechnology and Rehabilitation
ARTORG Center for Biomedical Engineering Research
Subject(s)

500 - Science::570 - ...

600 - Technology::610...

600 - Technology::620...

Series
Sensors
ISSN or ISBN (if monograph)
1424-8220
Publisher
MDPI
Language
English
Publisher DOI
10.3390/s21186205
PubMed ID
34577412
Description
Gait analysis is an important part of assessments for a variety of health conditions, specifically neurodegenerative diseases. Currently, most methods for gait assessment are based on manual scoring of certain tasks or restrictive technologies. We present an unobtrusive sensor system based on light detection and ranging sensor technology for use in home-like environments. In our evaluation, we compared six different gait parameters, based on recordings from 25 different people performing eight different walks each, resulting in 200 unique measurements. We compared the proposed sensor system against two state-of-the art technologies, a pressure mat and a set of inertial measurement unit sensors. In addition to test usability and long-term measurement, multi-hour recordings were conducted. Our evaluation showed very high correlation (r>0.95) with the gold standards across all assessed gait parameters except for cycle time (r=0.91). Similarly, the coefficient of determination was high (R2>0.9) for all gait parameters except cycle time. The highest correlation was achieved for stride length and velocity (r≥0.98,R2≥0.95). Furthermore, the multi-hour recordings did not show the systematic drift of measurements over time. Overall, the unobtrusive gait measurement system allows for contactless, highly accurate long- and short-term assessments of gait in home-like environments.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/57294
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