CHAPTER 13 Nonsymbolic Gestural Interaction for Ambient Intelligence

Matthias Rehm

Multimedia Concepts and Applications, Department of Applied Informatics, University of Augsburg, Augsburg, Germany

  • 13.1 Introduction 328
  • 13.2 Classifying Gestural Behavior for Human-Centric Ambient Intelligence 328
  • 13.3 Emotions 332
  • 13.4 Personality 336
  • 13.5 Culture 337
  • 13.6 Recognizing Gestural Behavior for Human-Centric Ambient Intelligence 340
    • 13.6.1 Acceleration-Based Gesture Recognition 340
    • 13.6.2 Gesture Recognition Based on Physiological Input 342
  • 13.7 Conclusions 343
  • References 343

Key words

gesture recognition

emotion

personality

culture.

Our gestural habits convey a multitude of information of different levels of granularity that can be exploited ...

Get Human-Centric Interfaces for Ambient Intelligence now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial