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

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
Main Authors: Arif Reza Anwary, Hongnian Yu, Michael Vassallo
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sensors
Subjects:
inertial measurement unit
accelerometer
gyroscope
asymmetry
feature extraction
wearable sensors
gait analysis
Online Access:http://www.mdpi.com/1424-8220/18/2/676

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http://www.mdpi.com/1424-8220/18/2/676

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