基於生理訊號之情緒辨識及應用

Abstract

情緒在人際溝通上與服務的提供上，是個常被遺忘的對象；但近年來由於溝通互動和個人化服務的迅速發展，情緒漸漸的被視為一個考慮、討論以及研究的對象。在心理學以及哲學的領域中，情緒算是較早被提出和被研究的，一些情緒的功能像是決策決定、學習上已證明有明確的影響與功能。 以前人之研究作為基石，本研究乃採用人體的胸腔擴張程度、肌膚導電度、肌膚表面溫度、以及血氧濃度等生理數值作為訊號來源，進而辨識喜、怒、哀、懼等四種情緒狀態，並透過較為隱蔽的表達方式展現結果，以利用這些資訊來幫助人際溝通與互動。在情緒的辨認部份，本文探討了情緒與生理訊號之關係，以及部分前人之研究情形，從而提出我的解決方式。除此之外，情緒資訊之應用亦為本文的另一個重點。藉由此珍貴的資訊，在此也提出了應用的雛形Cura，透過隱諱但隨手可得的方式，告知週遭的人自己的情緒狀態，以協助人際溝通與互動。

Emotion as a concept is usually forgotten in service providing and interactive communication. As content service and communication develop, emotion becomes more and more important in these research fields. In this research, I use bio-sensors to collect physiological signals from human subjects in different emotion states. The signals include sensor data from blood volume pulse, skin conductance, skin temperature, and respiration. I extract the features from these signals, and then use support vector machine to learn a classifier. The recognition rate of emotion is about 97%. Furthermore, a prototype application Cura is made. Cura is an ambient cube which shows emotion states depending on the recognition of emotion. It is a media to tell one's closer the emotion with privacy-concern. Cura is simple and nature so that human transmit the emotion directly. Furthermore, Cura also keeps the private of the emotion information. It leaves the decision to user themselves with who he/she shares the emotion.