基于高光谱成像技术的人类组织血氧遥测与情感识别

项目名称： 基于高光谱成像技术的人类组织血氧遥测与情感识别

项目编号： No.61301297

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 陈通

作者单位： 西南大学

项目金额： 28万元

中文摘要： )：对人类情感的正确识别是实现人机和谐交互的重要前提。身体信号（面部表情、语音、身体姿势）一直被作为情感识别的特征信号，然而这些信号，在诸如刑事侦查等特定应用背景下，容易被人为控制和掩饰。人类的生理信号，如心率、皮肤电导等不受人主观意识控制是更真实的情感特征信号，但这些信号都需要直接接触测量。本项目采用高光谱成像技术远程无接触地测量人类生理信号，并以此识别人类情感。项目基于光在人体组织中的漫散射原理建立面部血氧分布图，并将血氧分布作为情感特征信号，拟获取在正面、负面、正常平静情感状态下的人类面部高光谱图，并依据优化的面部光吸收-散射方程、优化的面部二层皮肤模型构建面部血氧分布图，研究面部血氧在各种情感状态下的分布模式，探索提取血氧分布特征，尝试实现对情感分类，并依据分类结果评价血氧分布这一全新的情感特征的有效性，为远程无接触识别人类情感提供理论基础。

中文关键词： 面部皮肤血氧图；波段选择；非接触式情感识别；高光谱情感识别；心理应激情感识别

英文摘要： Accurate detection of human emotion is a key initial step to the smooth human-computer-interaction. Body signals (face expression, voice, and gesture) have been employed as emotion-feature-carry signals for long. However, these signals can be hidden by will in some applications such as inspection for the anti-crime purpose.Physiological signals, such as heart beat rate, skin conductance, produced by automatic nerve systems, being not controlled by will, are more reliable emotion-feature-carry signals, however these signals are all measured in a contact way. This project employs hyperspectral imaging technique in detecting human emotion in a remote and noncontact way, and develops blood oxygenation map of human face being used as emotion-feature-carry signal for the first time in China. This project proposes to image human on the faces with hyperspectral imaging systems during they are in three emotional states, i.e. positive, negative, and calm. Based on the optimised absorption-scattering function, and optimised two-layer-skin model of human face, blood oxygenation map of the face is developed from hyperspectral image cube. And then the pattern of oxygenation distribution is studied in three emotional states, which aims to reveal the relation between the pattern and the specific emotion,and thus to develop oxyg

英文关键词： Facial Tissue Oxygen Saturation；wavelength selection；non-contact affection recognition；affection recognition based on hyperspectral imagi；psychological stress detection