基于传感器感知数据的心理健康状态实时跟踪研究  

Real-time Tracking of Mental Health Status Based on Sensor Perception Data

作　　者：吴苏礼 雷双媛[1] 王冠卓[1] 刘大旭[1] WU Suli;LEI Shuangyuan;WANG Guanzhuo;LIU Daxu(Jiamusi Campus of Heilongjiang University of Chinese Medicine,Harbin 150040,China)

机构地区：[1]黑龙江中医药大学佳木斯学院,黑龙江哈尔滨150040

出　　处：《微型电脑应用》2022年第8期43-46,共4页Microcomputer Applications

基　　金：2019年度黑龙江中医药大学科研基金项目(2019MS35)。

摘　　要：为了解决当前心理健康状态跟踪方法存在误差大等问题,设计传感器感知数据的心理健康状态实时跟踪方法。以传感器发出的激光束作为对比标准,构建一个心理感知数据补偿过程,转换感知数据的表示形式,划定感知数据的线性区域,构建心理健康状态数据判断方程,划分状态数据为不同的处理组,整合为特征跟踪模块后,最终实现心理数据的实时跟踪。选用已知参数的传感器,准备5组心理健康状态数据作为实验对象,与传统跟踪方法进行对比实验,结果表明本方法提高了心理健康状态效果。In order to solve the problem of large error in current mental health state tracking methods,a real-time mental health state tracking method based on sensor perception data is designed.Taking the laser beam emitted by the sensor as the contrast standard,a psychological perception data compensation process,transforms the representation of the perception data,delimits the linear region of the perception data,constructs the judgment equation of the mental health state data,divides the state data into different processing groups,and finally realizes the real-time tracking of the psychological data after integrating into the feature tracking module.Five groups of mental health state data are prepared by sensors with known parameters as the experimental objects.Compared with the traditional tracking method,the experimental results show that this method improves the effect of mental health state.

关 键 词：传感器 感知数据 心理健康状态 实时跟踪 

分 类 号：TN929[电子电信—通信与信息系统]