© 2008

Digital Human Modeling

Trends in Human Algorithms

  • Yang Cai

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4650)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4650)

Table of contents

  1. Front Matter
  2. Human Dynamics

    1. Kevin Warwick, Mark Gasson
      Pages 1-16
    2. Andrew J. Cowell, Kelly Hale, Chris Berka, Sven Fuchs, Angela Baskin, David Jones et al.
      Pages 17-27
    3. Yang Cai, Guillaume Milcent, Ludmila Marian
      Pages 28-46
  3. Virtual Humans

    1. Zhuming Ai, Raymond Evenhouse, Jason Leigh, Fady Charbel, Mary L. Rasmussen
      Pages 47-70
    2. Arielle Drummond, James Antaki
      Pages 71-89
    3. Giuseppe Riva, Andrea Gaggioli
      Pages 90-107
    4. Richard C. Ward, Line C. Pouchard, Nancy B. Munro, Sarah K. Fischer
      Pages 108-132
    5. Luigi Bertozzi, Rita Stagni, Silvia Fantozzi, Angelo Cappello
      Pages 133-160
  4. Human Forms

    1. Douglas D. Robertson, Gulshan B. Sharma
      Pages 161-175
    2. Yang Cai, Iryna Pavlyshak, Joseph Laws, Ryan Magargle, James Hoburg
      Pages 176-193
    3. Yeung-Hak Lee, Chang-Wook Han, Tae-Sun Kim
      Pages 194-205
    4. Yang Cai
      Pages 206-206
  5. Back Matter

About this book


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.


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

Editors and affiliations

  • Yang Cai
    • 1
  1. 1.Ambient Intelligence Lab, CIC-2218Carnegie Mellon UniversityPittsburghUSA

Bibliographic information

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From the reviews:

"This volume features 11 selected papers from a digital humans workshop, with an emphasis on computer science (CS) … . The volume represents a snapshot of the prevailing research ideas on the interfaces between imaging and computer modeling. As such, it can be useful to researchers." (L-F. Pau, ACM Computing Reviews, June, 2009)