Abstract：As intelligent sensors such as acceleration sensor, barometric sensor are used in paramedical environment. Propose a new insole-based GaitAssistant system and a step count algorithm. The algorithm divides the foot area into two parts, the pressure is used to find the initial contact and final left timestamp to obtain the relevant time parameters and the number of steps. The system supports synchronous data collection at the same time, and then we can obtain the step length by double integrate the acceleration data. In order to assess the reliability and accuracy of the system. The subjects were asked to walk on the GAITRite mat while wearing the smart insoles with 3 different speed (fast, slow, normal walk). The results from the GAITRite mat and GaitAssistant system were compared. At the same time, we compared the number of labeled steps with the GaitAssistant results. The results show that the average values of the stand time and step time are the same and the maximum difference average value of swing time is around 0.07s indicating that there is no significant difference between the two systems in terms of major parameter calculations. Step count result also has a high accuracy. This provide a potential possibilities for development of intelligent paramedical system.
安耕, 杨明静. 基于压力和惯性传感器的步态分析验证研究[J]. 电气技术, 2020, 21(6): 45-49.
An Geng, Yang Mingjing. Validation study of gait analysis based on pressure and inertial sensor. Electrical Engineering, 2020, 21(6): 45-49.
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