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

ABSTRACT: 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 Capture System. The data are collected from 10 young and 10 older subjects. Each performed a trial in a straight corridor comprising 15 strides of normal walking, a turn around and another 15 strides. We analyse the data for total distance, total time, total velocity, stride, step, cadence, step ratio, stance, and swing. The accuracy of detecting the stride number using the proposed method is 100% for young and 92.67% for older subjects. The accuracy of estimating travelled distance using the pro

SUBMITTER: Anwary AR 

PROVIDER: S-EPMC5855014 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature