A Computational View Of Autism
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A Computational View of Autism
This book first explains autism, its prevalence, and some conventional intervention techniques, and it then describes how virtual reality technology can support autism intervention and skills training. The approaches and technologies covered include immersive virtual reality, augmented reality and mixed reality. The tasks covered include emotion recognition, affective computing, teaching communication skills, imparting literacy skills, training for imitation skills, and joint attention skills. Most of the chapters assume no prerequisite knowledge of autism or virtual reality, and they are supported throughout with detailed references for further investigation. While the author is an engineer by profession, with specialist knowledge in robotics and computer-based platforms, in this book she adopts a user perspective and cites many real-life examples from her own experience. The book is suitable for students of cognitive science, and researchers and practitioners engaged with designing and offering technological assistance for special needs training.
Introducing Therapeutic Robotics for Autism
Author: Raheel Nawaz
language: en
Publisher: Emerald Group Publishing
Release Date: 2022-11-08
Written accessibly from the user’s perspective, Introducing Therapeutic Robotics for Autism is a must read for researchers from related disciplinary backgrounds including robotics, educational psychology, cognitive sciences, and ASD.
Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications
Author: José Manuel Ferrández Vicente
language: en
Publisher: Springer Nature
Release Date: 2022-05-24
The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.