面向可穿戴多模生物信息传感网络的栈式自编码器优化情绪识别  

Stacked Auto-Encoder Optimized Emotion Recognition in Multimodal Wearable Biosensor Network

作　　者：戴逸翔 王雪[1] 戴鹏[1] 张蔚航 张鹏博[1] 

机构地区：[1]清华大学精密仪器系精密测试技术及仪器国家重点实验室,北京100084

出　　处：《计算机学报》2017年第8期1750-1763,共14页Chinese Journal of Computers

基　　金：国家自然科学基金(61472216);教育部博士点基金(20120002110067);精密测试及仪器国家重点实验室研究项目资助~~

摘　　要：情绪识别是指采用无生命的传感器和计算机感知测量识别人类情绪状态,其主要环节包括情绪相关信号获取、特征提取以及分类识别.情绪识别可为人类情绪健康监测乃至情绪相关心理精神疾病的初筛提供科学依据.该文构建了多模可穿戴生物信息传感网络测量被测个体的多模情绪相关信号(脑电、脉搏以及血压),经由身体主站将信号传输至远程网络数据中心,并将情绪识别的结果进行网络发布,简化了测量结构,使得被测个体日常情绪监测和远程监控成为可能.由于信号测量和特征提取过程中存在不确定性,该文提出了栈式自编码器(基于深度学习理论)优化的情绪识别算法.71天时间跨度的实验结果表明,栈式自编码器预学习后的特征向量具有更高的一致性与可分性,情绪识别率较相关研究提高了约5%.Emotional health draws great concern with the enhancement of public health consciousness.Emotional health is closely related to the quality of personal life.Even for some special groups of people,like pilots,soldiers,etc.,their emotional states will have impacts on the stability of communities.Traditionally,to evaluate emotional states of human beings relies on the doctors or psychologists to communicate with subjects and give scores based on various questionnaires.This approach is not scientific enough and leads to the difficulties in the emotional health monitoring in daily-life.Emotion recognition enables lifeless sensors and computers to measure and interpret human emotions.It is a procedure consisting of emotion-related bio signals recording,features extraction and emotional states classification,providing scientific evidence for emotional health monitoring and primary diagnosis of potential mental diseases.In the related works concerning emotion recognition,the application scenarios are usually restricted in the hospitals or labs and the common-used classifiers are not suitable for the daily emotion recognition data set.This paper develops a multimodal biosensor network to simplify the sensing framework so that it can finish emotion recognition tasks when subjects are participating in daily tasks without somany disturbances.Several wearable biosensor nodes record multimodal bio signals（electroencephalography,pulse and blood pressure）and transmit them to a body station employing Arduino UNO3 and its expansion boards.The body station works as a web client connecting to a web data center on the Internet by wireless routers or personal hotspots.The web data center is established on NI-PXI 1065 with a static public IP address.The recognition algorithm is carried out in the data center and the results are displayed for authorized web terminals with the assistance of web publishing service supported by LabVIEW.The multimodal wearable biosensor network can provide emotion-related bio signals from which typical

关 键 词：情绪识别 多模感知测量 可穿戴生物信息传感网络 栈式自编码器 深度学习 物联网 传感器网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]