An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors

This paper aims to assess the use of Inertial Measurement Unit (IMU) sensors to identify gait asymmetry by extracting automatic gait features. We design and develop an android app to collect real time synchronous IMU data from legs. The results from our method are validated using a Qualisys Motion C...

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Detalles Bibliográficos
Autores principales: Anwary, Arif Reza, Yu, Hongnian, Vassallo, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855014/
https://www.ncbi.nlm.nih.gov/pubmed/29495299
http://dx.doi.org/10.3390/s18020676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855014/
https://www.ncbi.nlm.nih.gov/pubmed/29495299
http://dx.doi.org/10.3390/s18020676

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