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人类交互行为的隐马尔可夫模型
引用本文:覃龙,高琳,张权,王逸飞,魏玉会,闫相国. 人类交互行为的隐马尔可夫模型[J]. 生物医学工程学杂志, 2019, 0(1): 40-49
作者姓名:覃龙  高琳  张权  王逸飞  魏玉会  闫相国
作者单位:西安交通大学生物医学信息工程教育部重点实验室;西安交通大学机械制造系统工程国家重点实验室;哈佛大学医学院麻省总医院
基金项目:国家自然科学基金资助项目(61471291);国家"863计划"重大资助项目(2012AA02A604)
摘    要:为了满足临床中单个患者合作与竞争实验的需求,本文提出了两个基于隐马尔可夫模型的人类交互行为按键模型。基于两个按键模型,设计了验证实验并采集了有效被试行为学数据和前额叶脑血氧数据用于模型的评价。利用被试参与度与模型预测得分之间的相关性评价模型合理性;利用被试按键时间信息评价模型行为学模拟的准确率;提取前额深层信息,从信号同步性关系评价模型对生理学信息的提取。合理性评价表明合作按键模型在训练数据和测试数据的相关系数别为0.883 1和0.578 6,竞争模型则分别为0.813 1和0.617 8。行为学信息评价结果表明,两种模型对被试行为学模拟的准确率都达到71.43%。生理学评价结果表明,合作按键模型与竞争按键模型能够提取到被试的前额叶深层信息,且该信息与双人合作按键与竞争按键提取到的信息具有一致性。综上所述,合作、竞争两种按键模型的行为学、生理学评价结果显示,模型的实际表现与人-人的交互过程一致性较高,因此可考虑用于临床试验研究。

关 键 词:隐马尔可夫模型  人类交互行为  合作  竞争  多变量经验模态分解

Hidden Markov models for human interactive behavior
QIN Long,GAO Lin,ZHANG Quan,WANG Yifei,WEI Yuhui,YAN Xiangguo. Hidden Markov models for human interactive behavior[J]. Journal of biomedical engineering, 2019, 0(1): 40-49
Authors:QIN Long  GAO Lin  ZHANG Quan  WANG Yifei  WEI Yuhui  YAN Xiangguo
Affiliation:(MOE Key Laboratory of Biomedical Information Engineering,Xi'an Jiaotong University,Xi'an 710049,P.R.China;State Key Laboratory for Manufacturing System Engineering,Xi'an liaotong University,Xi'an 710049,P.R.China;Harvard Medical School and Massachusetts General Hospital,Charlestown,MA 02129-4404,United States)
Abstract:In order to meet the requirements in the cooperation and competition experiments for an individual patient in clinical application,two human interactive behavior key-press models based on hidden Markov model(HMM)were proposed.To validate the cooperative and competitive models,a verification experimental task was designed and the data were collected.The correlation of the score and subjects’ participation level has been used to analyze the reasonability verification.Behavior verification was conducted by comparing the statistical difference in response time for subjects between human-human and human-computer experiment.In order to verify the physiological validity of the models,we have utilized the coherence analysis to analyze the deep information of prefrontal brain area.Reasonability verification shows that the correlation coefficient for the training data and the testing data is 0.883 1 and 0.578 6 respectively based on cooperation model,and 0.813 1 and 0.617 8 respectively based on the competition model.The behavioral verification result shows that the cooperation and competition models have an accuracy of 71.43% respectively.The results of physiological validity show that the deep information of prefrontal brain area could been extracted based on the cooperation and competition models,and reveal the consistency of coherence between the double key-press cooperative and competitive experiments,respectively.Above all,the high consistency is obtained between the cooperatio/competition model and the double key-press experiment by the behavioral and physiological evaluation results.Consequently,the cooperation and competition models could be applied to clinical trials.
Keywords:hidden Markov model  human interactive behavior  cooperation  competition  multivariate empirical mode decomposition
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