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Comparison of gait speeds from wearable camera and accelerometer in structured and semi-structured environments

A feasibility study was conducted to investigate the use of a wearable gait analysis system for classifying gait speed using a low-cost wearable camera in a semi-structured indoor setting. Data were collected from 19 participants who wore the system during indoor walk sequences at varying self-deter...

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Detalles Bibliográficos
Autores principales: Schneider, Bradley, Banerjee, Tanvi, Grover, Francis, Riley, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067055/
https://www.ncbi.nlm.nih.gov/pubmed/32190337
http://dx.doi.org/10.1049/htl.2019.0015
Descripción
Sumario:A feasibility study was conducted to investigate the use of a wearable gait analysis system for classifying gait speed using a low-cost wearable camera in a semi-structured indoor setting. Data were collected from 19 participants who wore the system during indoor walk sequences at varying self-determined speeds (slow, medium, and fast). Gait parameters using this system were compared with parameters obtained from a vest comprising of a single triaxial accelerometer and from a marker-based optical motion-capture system. Computer-vision techniques and signal processing methods were used to generate frequency-domain gait parameters from each gait-recording device, and those parameters were analysed to determine the effectiveness of the different measurement systems in discriminating gait speed. Results indicate that the authors’ low-cost, portable, vision-based system can be effectively used for in-home gait analysis.