Gestural Interface

Gesture recognition is a topic in computer science with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from the face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques.
Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even graphical user interfaces GUIs which still limit the majority of input to keyboard and mouse.

‘The Vision Machine’
Paul Virilio 1994
Published by BFI ISBN 0-85170-445-X

‘Machine Vision, Theory, Algorithms, Practicalities’
Chapter 29 - Machine Vision: Art or Science?
By E.R.Davies, 2005
Published by Morgan Kaufman, ISBN 0-12-206093-8

‘Algorithms for Image Processing and Computer Vision’
By J.R. Parker 1997
Published by Wiley, ISBN 0-471-14056

Unless otherwise stated, the content of this page is licensed under Creative Commons Attribution-ShareAlike 3.0 License