Monekosso, Dorothy, Kuno, Yoshinori, Remagnino, Paolo (Eds.)
2009, XVII, 211 p.
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Innovative: brings together engineering solutions for the automatic understanding of a complex scene via multi-modal arrays of sensors
Combines algorithms and applications
Incorporates machine vision and robotics applied to ambient intelligence
Researchers involved in the Intelligent Environment field are working towards a future where humans live in autonomous and adaptive environments; where public and private spaces are endowed with intelligence that enhances user experience and improves quality of life.
Each chapter in the book describes an example of intelligent environment, focussing on the artificial intelligence technique employed to create the environment. The book also introduces engineering solutions to the problem of understanding and modelling complex scenes via multi-modal arrays of sensors. This collection contains contributions from key researchers in the field. Topics covered include:
Intelligent human-environment interaction
Advanced human-computer interaction
Conventional and embedded robotic solutions
Ambient representation and innovative sensors
This book will be of interest to graduate students and researchers in academia and industry wishing to learn more about ambient intelligence and its potential impact on society.
Intelligent Environments: Methods, Algorithms and Applications.- A Pervasive Sensor System for Evidence-Based Nursing Care Support.- Anomalous Behavior Detection: Supporting Independent Living.- Sequential PatternMining for Cooking-Support Robot.- Robotic, Sensory and Problem-Solving Ingredients for the Future Home.- Ubiquitous Stereo Vision for Human Sensing.- Augmenting Professional Training, an Ambient Intelligence Approach.- Stereo Omnidirectional System (SOS) and Its Applications.- Video Analysis for Ambient Intelligence in Urban Environments.- From Monomodal to Multimodal: Affect Recognition Using Visual Modalities.- Importance of Vision in Human-Robot Communication Understanding Speech Using Robot Vision and Demonstrating Proper Actions to Human Vision.