User Preference Model for Conscious Services in Smart Environments
Awareness of user preferences and analysis of thecurrent situation makes capable to provide user with invasiveservices in various applications of smart environments. In smartmeeting rooms context-aware systems analyze user behaviorbased on multimodal sensor data and provide proactive servicesfor mee...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | México |
| Institución: | Universidad Nacional Autónoma de México |
| Repositorio: | Redalyc-UNAM |
| OAI Identifier: | oai:redalyc.org:402640458007 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=402640458007 |
| Access Level: | acceso abierto |
| Palabra clave: | Computación mobile robot User preferences context awareness action recognition smart meeting room |
| Sumario: | Awareness of user preferences and analysis of thecurrent situation makes capable to provide user with invasiveservices in various applications of smart environments. In smartmeeting rooms context-aware systems analyze user behaviorbased on multimodal sensor data and provide proactive servicesfor meeting support, including active control PTZ (pan, tilt andzoom) cameras, microphone arrays, context dependent automaticarchiving and web-transmission of meeting data at theinteraction. History of interaction sessions between a user and aservice is used for knowledge accumulation in order to forecastuser behavior during the next visit. The user preference modelbased on audiovisual data recorded during interaction andstatistics of his/her speech activity, requests, movementtrajectories and other parameters was implemented for thedeveloped mobile information robot and smart meeting room. |
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