This paper proposes a method for detecting gait abnormality through the correlation between the thighs and shanks of the left and right leg of the subjects and the comparison of temporal parameters by using MetaMotionR — an Inertial Measurement Unit (IMU) sensor from Mbientlab. Temporal gait parameters which can be derived in this study are double limb support time, gait cycle time or stride time, stance time, swing time, and step time. Using the method proposed, the results of the correlation of the thigh and shank of both left and right leg shows a value which is close to 1 which indicates that symmetry between both legs. On an average of 31.93% difference among all temporal parameters, the normal gait and the abnormal gait can be compared and shows that the temporal parameters for the gait with abnormality has a larger value due to the knee injury.
[1]
Tao Liu,et al.
Gait Analysis Using Wearable Sensors
,
2012,
Sensors.
[2]
Matjaz B. Juric,et al.
Inertial Sensor-Based Gait Recognition: A Review
,
2015,
Sensors.
[3]
Reed Ferber,et al.
Running Mechanics and Gait Analysis
,
2014
.
[4]
Guang-Zhong Yang,et al.
An On-Node Processing Approach for Anomaly Detection in Gait
,
2015,
IEEE Sensors Journal.