Comparison of Four SVM Classifiers Used with Depth Sensors to Recognize Arabic Sign Language Words

Comparison of Four SVM Classifiers Used with Depth Sensors to Recognize Arabic Sign Language Words

The objective of this research was to recognize the hand gestures of Arabic Sign Language (ArSL) words using two depth sensors. The researchers developed a model to examine 143 signs gestured by 10 users for 5 ArSL words (the dataset). The sensors captured depth images of the upper human body, from...

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Bibliographic Details
Main Authors: Miada A. Almasre, Hana Al-Nuaim
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Computers
Subjects:
depth sensor
gesture recognition
support vector machine
classification
linear
radial
SVM
Online Access:http://www.mdpi.com/2073-431X/6/2/20

Internet

http://www.mdpi.com/2073-431X/6/2/20

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