Multi-Modal User Interactions in Controlled Environments

Autor: Djeraba, Chaabane, Lablack, Adel, Benabbas, Yassine
Přispěvatelé: Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique Fondamentale de Lille (LIFL), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS), European Project: 033715,MIAUCE - Multimodal Interactions Analysis and exploration of Users within a Controlled Environment, FOX MIIRE (LIFL), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS), Lifl, Hal
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: Springer US, 34, 216 p., 2010, Multimedia Systems and Applications, 978-1-4419-0316-7
www.springer.com
Springer, pp.216, 2010
Popis: International audience; - One of first books to cover primarily multimodality and behavioral data, rather than mono-modality tracking and analysis font- Discusses a video-based system that boosts productivity and increases satisfaction by automating repetitive human tasks- Focuses on the presentation of information to the userMulti-Modal User Interactions in Controlled Environments investigates the capture and analysis of user’s multimodal behavior (mainly eye gaze, eye fixation, eye blink and body movements) within a real controlled environment (controlled-supermarket, personal environment) in order to adapt the response of the computer/environment to the user. Such data is captured using non-intrusive sensors (for example, cameras in the stands of a supermarket) installed in the environment. This multi-modal video based behavioral data will be analyzed to infer user intentions while assisting users in their day-to-day tasks by adapting the system’s response to their requirements seamlessly. This book also focuses on the presentation of information to the user. Multi-Modal User Interactions in Controlled Environments is designed for professionals in industry, including professionals in the domains of security and interactive web television. This book is also suitable for graduate-level students in computer science and electrical engineering.
Databáze: OpenAIRE