Tibor Bosse

Diane J. Cook

Mark Neerincx

Fariba Sadri

This book presents recent developments is the field of human aspects in Ambient Intelligence. This field, and the associated workshop series, addresses multidisciplinary aspects of AmI with human-directed disciplines such as psychology, social science, neuroscience and biomedical sciences. The aim of the workshop series is to get researchers together from these human-directed disciplines or working on cross connections of AmI with these disciplines. The focus is on the use of knowledge from these disciplines in AmI applications, in order to support humans in their daily living in medical, psychological and social respects. The book plays important role to get modellers in the psychological, neurological, social or biomedical disciplines interested in AmI as a high-potential application area for their models. From the other side, the book may make researchers in Computer Science and Artificial and Ambient Intelligence more aware of the possibilities to incorporate more substantial knowledge from the psychological, neurological, social and biomedical disciplines in AmI architectures and applications.

Contemporary Challenges and Solutions

Human Aspects in Ambient Intelligence

Pablo A. Haya

James Dooley

Matthew Ball

Juan A. Botía

Hedda Schmidtke

Tatsuo Nakashima

Mohammad R. Al-Mulla

Juan Carlos Augusto

Asier Aztiria

Vic Callaghan

John O' Donoghue

Simon Egerton

Miguel J. Hornos

Eduardo Morales

Juan Carlos Orozco

Otniel Portillo-Rodriguez

Alejandro Rodrigues-González

Oscar Sandoval

Paolo Tripicchio

Minjuan Wang

Victor Zamudio

This book presents the proceedings of the workshops of the 8th International Conference on IntelligentEnvironments IE 12, held in Guanajuato, Mexico, in June 2012. Topics covered in the workshops includeintelligent environments supporting healthcare and well-being artificial intelligence techniques for ambientintelligence large-scale intelligent environments intelligent domestic robots intelligent environmenttechnology in education multimodal interfaces applied in skills transfer, healthcare and rehabilitation thereliability of intelligent environments and improving industrial automation using

Workshop Proceedings of the 8th International Conference on Intelligent Environments

John O'Donoghue

R. Lopez-Cozar

H. Aghajan

Juan C. Augusto

This book presents the combined proceedings of three workshops which make up part of the 6th International Conference on Intelligent Environments. The remarkable advances in computer sciences throughout the last few decades are already making an impact

Workshop Proceedings of the 6th International Conference on Intelligent Environments

Narayanan C. Krishnan

Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: Discovering activity patterns that emerge from behavior-based sensor data Recognizing occurrences of predefined or discovered activities in real time Predicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use. With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.

Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

Activity Learning

Diane J. Cook

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