The Identification of the person's walking mode with a prosthesis using a wearable sensor system

首先，我们开发了一个可穿戴式传感器系统，该系统能够测量人体所受载荷、脚的加速度、脚的倾斜度以及踝关节和膝关节的角度等时间序列数据。此外，我们还制造了各种类型的人行道，如倾斜荷载、楼梯、碎石路和沙路。然后，共有30名健康受试者在佩戴可穿戴传感器系统的情况下行走以获取数据。通过分析这些数据，我们产生了一种算法来识别可能的行人状态(行走模式)。

First of all, we have developed a wearable sensor system which are able to measure time-series data about the load applied to the body, the acceleration of the foot, the inclination of the foot and the angle of the ankle joint and the knee joint. In addition, we manufactured various kinds of walking surfaces, those are inclination loads, stairs, gravel road and sandy road. Then, a total of 30 healthy subjects were walking in order to get data while wearing a wearable sensor system. By analyzing those data, we produced an algorithm to identify what might be pedestrian state(walking mode).