基于MEMS传感器的人体运动行为追踪研究  

Tracking of human motion behavior based on MEMS sensor

作　　者：杨沛[1] 

机构地区：[1]西安工业大学,陕西西安710021

出　　处：《自动化与仪器仪表》2017年第7期143-145,共3页Automation & Instrumentation

摘　　要：随着MEMS传感器的发展及应用,越来越多的研究者开始采用MEMS传感器设计人体运动行为检测装置,其通过追踪佩戴者加速度改变情况,确定被检测者处于何种运动状态。但这种方法判断依据比较单一,系统抗干扰能力差,极易出现误判。本文设计一种新型的MPU6050型号MEMS传感器,该传感器能够同时检测被测者角速度和加速度,通过设置各种阀值便于综合判断加速度与角速度变化情况,准确地检测人体运动行为。根据检测实例结果可知,这种传感器配合新颖算法能有效提升检测精准率,值得在类似研究中推广使用。With the development and application of MEMS sensors, more and more researchers began to design human motion behavior detection device by MEMS sensor,which can track the wearer＇s acceleration change,to determine the motion state of the quilt. However, this method is based On a single judgement, and the system has poor anti-interference ability, which is prone to Misjudgment. In this paper, a new type of mpu6050 xing MEMS sensor is designed, the sensor can detect the speed and acceleration, and set various threshold to facilitate the synthesis of the acceleration and angular velocity, and accurately detect human motion behavior. According to the results of the detection example, this sensor combined with novel algorithm can effectively improve the detection of accuracy, it is worth to promote the use in similar research.

关 键 词：MEMS传感器 人体运动行为 识别算法 实例验证 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]