基于多传感器的智能鞋设计

Design of smart shoes based on multisensor

为了对人体足部的运动数据进行采集分析,研制了一种对足底压力及足部加速度和角速度数据进行采集的智能鞋系统。智能鞋除了鞋体本身外,包括压力鞋垫模块、无线传输模块和运动数据接收软件。智能鞋采集到足部运动数据后,通过蓝牙将数据发送到接收软件,并对运动数据进行显示和存储。通过多层长短期记忆(LSTM)网络对静坐、站立和行走三种基本的运动行为进行识别,实验验证了基于LSTM的运动行为识别模型的准确性,以及智能鞋所采集的运动数据的有效性,智能鞋可以用于进行人体运动行为识别的研究工作中。

In order to collect the data of human movements on foot and analyze,a smart shoe system is designed and implemented,which can collect plantar pressure,acceleration and angular velocity data. Besides the shoe body itself,the smart shoe system consists of pressure insole module,wireless transmission module and movement data receiving software. After movements data are collected,the data are transferred to receiving software through Bluetooth,then displayed on screen and stored. Through multi-layer long short-term memory( LSTM) network,the three kinds of actions can be identified,include sitting,standing and walking. The final experiment verifies that the LSTM recognition model is accuracy,the data collected through smart shoe is effective,and the smart shoes can be used in research of human action recognition.