ICMI-MLMI 2010 - 12th International Conference on Multimodal Interfaces and 7th Workshop on Machine Learning for Multimodal Interaction (ICMI-MLMI 2010)
Website www.acm.org/icmi/2010/ |
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Category ICMI-MLMI 2010
Deadline: June 04, 2010 | Date: October 08, 2010-October 10, 2010
Venue/Country: Beijing, China
Updated: 2010-08-14 20:43:14 (GMT+9)
Call For Papers - CFP
The Twelfth International Conference on Multimodal Interfaces and the Seventh Workshop on Machine Learning for Multimodal Interaction will be held jointly in Beijing China during November 8-12, 2010. The main aim of ICMI-MLMI 2010 is to further scientific research within the broad field of multimodal interaction, methods, and systems, focusing on major trends and challenges, and working towards identifying a roadmap for future research and commercial success. The conference will continue to feature a single-track with keynote speakers, technical paper presentations, poster sessions, a doctoral consortium, and demonstrations of state of the art multimodal systems and concepts. The conference will be followed by workshops. Topics of interest include, but are not limited to: ? Multimodal input and output interfaces ? Multimodal human behavior analysis ? Machine learning methods for multimodal processing ? Fusion techniques and hybrid architectures ? Processing of language and action patterns ? Gaze and vision-based interfaces ? Speech and conversational interfaces ? Pen-based interfaces ? Haptic interfaces ? Brain-computer interfaces ? Cognitive modeling of users ? Multi-biometric interfaces ? Multimodal-multisensor interfaces ? Interfaces for attentive and intelligent environments ? Mobile, tangible and virtual/augmented multimodal interfaces ? Distributed/collaborative multimodal interfaces ? Tools and system infrastructure issues for designing multimodal interfaces ? Evaluation of multimodal interfaces ? AI techniques and adaptive multimodal interfacesKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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