Development of Low-cost Wearable Walking Pattern Recognition System using Inertial Sensors

Regular walking has several benefits for improving treatment of many diseases and pains, and improving the health-related quality of life. The prevalence of walking abnormalities are precursors of falls and cause severe injuries in elderly. Thus, it becomes important to recognize the walking pattern. The aim this research is to develop a low-cost wearable walking pattern system using inertial sensors. The proposed system consists inertial sensors, multiplexer, microcontroller, and personal computer. The proposed walking pattern system can be used to detect the walking cycle in the sagittal and frontal axes. The developed system can also distinguish forward and backward movements. This study presents the preliminary prototype and result of the walking pattern system recognition using low-cost electronics components and module. Even though the development costs are kept low, USD 39.6, the proposed system still meet the specification that have been set.