Abnormal gait patterns are often early indicators of neurological, orthopedic, and diabetic foot–related disorders. Continuous and accurate monitoring of foot pressure distribution during walking can help in the early detection of such abnormalities. This project presents the design and development of a portable foot pressure measurement system for the early detection of abnormal gait patterns. The proposed system uses multiple force-sensitive pressure sensors embedded inside a wearable insole to capture plantar pressure data in real time. The sensor data are acquired through a low-power microcontroller and transmitted wirelessly for processing and analysis. Key gait parameters such as pressure distribution, stance time, and load variation across different regions of the foot are extracted. By comparing these parameters with normal gait patterns, the system can identify deviations that indicate abnormal gait. The portability, low cost, and ease of use of the proposed system make it suitable for continuous monitoring in daily life as well as clinical environments. This system can assist doctors and physiotherapists in early diagnosis, treatment planning, and rehabilitation monitoring. The results demonstrate that the proposed foot pressure measurement system is effective for basic gait analysis and early detection of abnormal gait patterns.
Gnanapriya et al. (Fri,) studied this question.