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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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Bibliographic Details
Published in:Sensors (Basel)
Main Authors: Anwary, Arif Reza, Yu, Hongnian, Vassallo, Michael
Format: Artigo
Language:Inglês
Published: MDPI 2018
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5855014/
https://ncbi.nlm.nih.gov/pubmed/29495299
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18020676
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