tailieunhanh - Báo cáo hóa học: " Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals | EURASIP Journal on Applied Signal Processing 2004 11 1672-1687 2004 Hindawi Publishing Corporation Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals Christine Letitia Lisetti Department of Multimedia Communications Institut Eurecom 06904 Sophia-Antipolis France Email lisetti@ Fatma Nasoz Department of Computer Science University of Central Florida Orlando FL 32816-2362 USA Email fatma@ Received 30 July 2002 Revised 14 April 2004 We discuss the strong relationship between affect and cognition and the importance of emotions in multimodal human computer interaction HCI and user modeling. We introduce the overall paradigm for our multimodal system that aims at recognizing its users emotions and at responding to them accordingly depending upon the current context or application. We then describe the design of the emotion elicitation experiment we conducted by collecting via wearable computers physiological signals from the autonomic nervous system galvanic skin response heart rate temperature and mapping them to certain emotions sadness anger fear surprise frustration and amusement . We show the results of three different supervised learning algorithms that categorize these collected signals in terms of emotions and generalize their learning to recognize emotions from new collections of signals. We finally discuss possible broader impact and potential applications of emotion recognition for multimodal intelligent systems. Keywords and phrases multimodal human-computer interaction emotion recognition multimodal affective user interfaces. 1. INTRODUCTION The field of human-computer interaction HCI has recently witnessed an explosion of adaptive and customizable human-computer interfaces which use cognitive user modeling for example to extract and represent a student s knowledge skills and goals to help users find information in hypermedia applications or to tailor information presentation to the user. New .