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作 者:李盼盼 梁丰 彭虎军 LI Panpan;LIANG Feng;PENG Hujun(College of Health Management,Shangluo University,Shangluo 726000,China)
出 处:《电子设计工程》2022年第12期138-142,共5页Electronic Design Engineering
基 金:陕西省教育厅科研项目(20JK0110)。
摘 要:现有状态实时跟踪方法受到外部环境的影响,存在着补偿误差,从而导致最终跟踪处理的心理健康状态数据丢失,针对该问题,设计了一种基于数据感知技术的心理健康状态实时跟踪方法。以激光传感器发出的激光束作为对比标准,构建一个心理状态数据补偿过程,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,实现心理数据的实时跟踪。激光传感器选用已知的参数,将5组心理健康状态数据作为实验对象,分别使用传统实时跟踪方法、文献中的实时跟踪方法以及文中设计的实时跟踪方法进行实验,结果表明,文中设计的跟踪方法丢失的状态数据最少。Affected by the external environment,the existing state real⁃time tracking method has com⁃pensation errors,which leads to the loss of the mental health state data of the final tracking process.In response to this problem,a data⁃sensing technology real⁃time mental health state tracking method is designed.Aiming at this problem,a real⁃time tracking method of mental health status based on laser sensor sensing data is designed.Taking the laser beam from the laser sensor as the contrast standard,this paper constructs a compensation process of psychological perception data,transforms the representation form 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 integrates them into the feature tracking module,finally realizes the real⁃time tracking of the psychological data.The laser sensor selects known parameters and takes five groups of mental health status data as experimental objects.Experiments are carried out using the traditional real⁃time tracking method,the real⁃time tracking method in literature and the real⁃time tracking method designed in this paper.The results show that the tracking method designed in this paper has the least state data loss.
分 类 号:TN929[电子电信—通信与信息系统]
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