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2014 | OriginalPaper | Chapter

4. Feature Extraction

Author : Prashan Premaratne

Published in: Human Computer Interaction Using Hand Gestures

Publisher: Springer Singapore

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Abstract

An image is worth 1,000 words. Yet, a machine to describe a picture or a color image is not trivial. Of course, some measurements can easily be estimated such as different colors, their intensities, size and dimensions of certain objects if the object can be specified. Yet, the most difficult aspect is to make the decisions as to what constitute an object. In a scene consisting of hand gesture or gestures and a cluttered background, difficulty lies in interpreting these items. Perhaps, the hand gesture recognition offers some help compared to other problems as skin detection can be used to define a hand as was discussed under Pre-processing in Chap. 3. Yet, even when a hand is detected and isolated, what configuration the hand shows is again a difficult question to address.

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previous chapter Pre-processing
next chapter Effective Hand Gesture Classification Approaches
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Metadata
Title
Feature Extraction
Author
Prashan Premaratne
Copyright Year
2014
Publisher
Springer Singapore
Book
Human Computer Interaction Using Hand Gestures

Print ISBN: 978-981-4585-68-2

Electronic ISBN: 978-981-4585-69-9

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-981-4585-69-9_4

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