Facial Emotional Classifier For Natural Interaction
The recognition of emotional information is a key step toward giving computers the ability to interact more naturally and intelligently with people. We present a simple and computationally feasible method to perform automatic emotional classification of facial expressions. We propose the use of a se...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2008 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:52561 |
| Acceso en línea: | https://ddd.uab.cat/record/52561 https://dx.doi.org/urn:doi:10.5565/rev/elcvia.272 |
| Access Level: | acceso abierto |
| Palabra clave: | Cara i reconeixement de gestos Classificador emocional Interfícies multimodals Cara y reconocimiento de gestos Clasificador emocional Interfaces multimodales Face and gesture recognition Emotional classifier Multimodal interfaces |
| Sumario: | The recognition of emotional information is a key step toward giving computers the ability to interact more naturally and intelligently with people. We present a simple and computationally feasible method to perform automatic emotional classification of facial expressions. We propose the use of a set of characteristic facial points (that are part of the MPEG4 feature points) to extract relevant emotional information (basically five distances, presence of wrinkles in the eyebrow and mouth shape). The method defines and detects the six basic emotions (plus the neutral one) in terms of this information and has been fine-tuned with a database of more than 1500 images. The system has been integrated in a 3D engine for managing virtual characters, allowing the exploration of new forms of natural interaction. |
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