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Computer Science - Artificial Intelligence | Digital Human Modeling - Trends in Human Algorithms

Digital Human Modeling

Trends in Human Algorithms

Cai, Yang (Ed.)

2008, IX, 207 p.

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The emerging information technologies have given rise to new human patterns in terms of both physiological and psychological interactions. Human Algorithms aim to model human forms, interactions, and dynamics in this new context. They are becoming increasingly comprehensive and inexpensive for use in real-world designs: inside monitors, connected to networks, and under human skin. This book aims to reflect the state-of-the-art of Digital Human Modeling, specifically emergent Human Algorithms. It constitutes a survey of innovative ideas aimed at a wide range of readers, including college students, researchers, engineers, designers, scientists, managers, and healthcare professionals. The 11 chapters are divided into three parts: Human Dynamics, Virtual Humans and Human Forms.

Content Level » Research

Keywords » 3D scan - GUI - anatomy - augmented cognition - biological systems - brain-computer interface - clinical psychology - computational analysis - context-awareness - electroencephalography - eye tracking - feature recognition - feedback control - fuzzy neural networks - h

Related subjects » Artificial Intelligence - Bioinformatics - Communication Networks - General Issues - HCI - Theoretical Computer Science

Table of contents 

Human Dynamics.- Implantable Computing.- Brainwave-Based Imagery Analysis.- Visual Digest Networks.- Virtual Humans.- Biomedical Modeling in Tele-Immersion.- Virtual Fit Study of Pediatric Heart Assist System.- Virtual Clinical Therapy.- Virtual Human Problem-Solving Environments.- Biomechanical Modeling from In-Vivo Data.- Human Forms.- Natural Form Modeling.- Augmented Privacy with Virtual Humans.- 3D Facial Recognition with Soft Computing.- Digital Human Modeling.

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