基于改进的隐马尔科夫模型的情感压力分级方法  

Affective Stress Rating Method Based on Improved Hidden Markov Model

作　　者：李昕[1,2] 齐晓英[1] 陈泽涛[1] 侯永捷 杨亚丹[1] 梁琼予 

机构地区：[1]燕山大学生物医学工程研究所,秦皇岛066004 [2]北京工业大学生命科学与生物工程学院,北京100124 [3]前景光电技术有限公司,秦皇岛066004

出　　处：《生物医学工程学杂志》2016年第3期553-558,共6页Journal of Biomedical Engineering

基　　金：河北省自然科学基金资助项目(F2014203244);中国博士后科学基金资助项目(2014M550582)

摘　　要：现有情感压力评估方法主要针对有无压力进行评估,或者虽然实现了简单压力分级,但未考虑前一状态对当前压力状态的影响,因此评估效果不理想。针对这一问题,本文提出了一种基于隐马尔科夫模型(HMM)的情感压力分级模型。进一步地,在情感计算理论支持下,建立了情感压力分级算法。该算法考虑了前一个压力状态对当前压力的影响以及环境因素的影响,并建立了匹配过程,使用间隔放大并设定阈值的方法,根据数据的范围按比例线性调节,经匹配后,对特征参数进行归一化,作为模型的输入得出情感压力分级的结果。实验结果表明,该方法考虑了外界环境因素与前一压力状态对当前压力状态的影响,能有效地对情感压力进行分级,并提高情感压力分级的准确率。To solve the defect which is recognizing but not rating the stress, or rating but not considering the influ- ence of the previous stress state to the current state of the existing affective stress evaluation method, this paper proposes an approach of affective stress rating model on electrocardiogram （ECG）. An affective stress rating algorithm based on hidden Markov model （HMM） was established with the theory of affective computing. The individual＇s affective stress was rated using this affective rating model combining the investigation questionnaire. Features like complexity and approximate entropy of ECG were used in the model, and a matching process suggested that it improved the accuracy of affective stress rating. The result of the experiment illustrated that the model considering the environmental factors and the influence of previous stress state to the current state was an effective method in affective stress rating, and the accuracy of rating was improved by this affective stress rating method.

关 键 词：情感压力分级 情感计算 隐马尔科夫模型 匹配过程 

分 类 号：B842[哲学宗教—基础心理学]