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Computer Science - Information Systems and Applications | Multi-Modal User Interactions in Controlled Environments

Multi-Modal User Interactions in Controlled Environments

Djeraba, Chabane, Lablack, Adel, Benabbas, Yassine

2010, XVI, 216p. 40 illus., 20 illus. in color.

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  • 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 user
Multi-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.

Content Level » Professional/practitioner

Keywords » Abnormal Event Detection - Flow Estimation - Gaze analysis - Interaction - Interface - Region-of-Interest - Security - Visual Field - Visual Gaze - behavior - computer science - control - video

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - HCI - Image Processing - Information Systems and Applications

Table of contents 

Abnormal Event Detection.- Flow Estimation.- Estimation of Visual Gaze.- Visual Field Projection and Region of Interest Analysis.- Conclusion.

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