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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-06-01
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| Series: | Computers |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-431X/6/2/20 |