Monitoring the walking pattern of lower limb prosthetic users using mobile accelerometer apps

Abstract

Physical activities are any movement that required muscles to work and consequently use more energy as compared to resting. Physical activities are the best parameter in determining a person health. This is especially important for the health of lower limb prosthetic users who are in progress of restoring their walking and standing ability by wearing the prosthetic leg. The objective of this study is to develop an accelerometer apps that can identify the walking pattern of lower limb prosthetic users. The Smartphone accelerometer application function is to detect and to collect acceleration data while user’s performing physical activities such as walking on flat surface. As a results an accelerometer application on android smartphone has been developed. The magnitude of acceleration data from the accelerometer are used to identify three participants; normal, transtibial and transfemoral prosthetic users walking patterns.