An intelligent shoe system: Evaluation of weight load approaches by gait analysis

People usually need carrying load in the daily life, especially teenagers, who need carrying school bag everyday. In this research, we target to find which approach to carry load is the best. Based on this target, we design an intelligent shoe system with sensors in high pressure area on the insole, 3-axis acceleration and 3-axis angular acceleration in the front of shoe. We proposed a new method to process the data, which is using the re-sampling to partition data cycle by cycle. Using Support Vector Machine (SVM), we build the model by normal walking gait and abnormal gaits without load. We tested six approach to carry load and found that the carrying to balanced load carrying approach is better than unbalanced.