Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals
<p/> <p>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 re...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2004-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1110865704406192 |
| _version_ | 1818276688802349056 |
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| author | Nasoz Fatma Lisetti Christine Lætitia |
| author_facet | Nasoz Fatma Lisetti Christine Lætitia |
| author_sort | Nasoz Fatma |
| collection | DOAJ |
| description | <p/> <p>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.</p> |
| first_indexed | 2024-12-12T22:49:38Z |
| format | Article |
| id | doaj.art-043a7dd0421b42918789b71f26abd663 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-12T22:49:38Z |
| publishDate | 2004-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-043a7dd0421b42918789b71f26abd6632022-12-22T00:09:06ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-01200411929414Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological SignalsNasoz FatmaLisetti Christine Lætitia<p/> <p>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.</p>http://dx.doi.org/10.1155/S1110865704406192multimodal human-computer interactionemotion recognitionmultimodal affective user interfaces |
| spellingShingle | Nasoz Fatma Lisetti Christine Lætitia Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals EURASIP Journal on Advances in Signal Processing multimodal human-computer interaction emotion recognition multimodal affective user interfaces |
| title | Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals |
| title_full | Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals |
| title_fullStr | Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals |
| title_full_unstemmed | Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals |
| title_short | Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals |
| title_sort | using noninvasive wearable computers to recognize human emotions from physiological signals |
| topic | multimodal human-computer interaction emotion recognition multimodal affective user interfaces |
| url | http://dx.doi.org/10.1155/S1110865704406192 |
| work_keys_str_mv | AT nasozfatma usingnoninvasivewearablecomputerstorecognizehumanemotionsfromphysiologicalsignals AT lisettichristinel230titia usingnoninvasivewearablecomputerstorecognizehumanemotionsfromphysiologicalsignals |