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About The Application of Computer Vision Machine and Deep Learning Alg
This thesis explores applying computer vision, machine learning, and deep learning algorithms using MATLAB to develop an American Sign Language (ASL) translation system called ASLtranslate. The author first builds ASLtranslate (I) which uses bag-of-visual-words and k-means clustering to classify ASL gestures into letters. The author then develops ASLtranslate (II) which applies transfer learning using a pre-trained convolutional neural network to improve classification accuracy. The thesis evaluates the results and discusses future development of ASLtranslate to better recognize ASL gestures.
Detailed Information
| Author: | ['Crissa Mae Gannaban'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 58 |
| Language: | English |
| Format: | |
| Price: | FREE |
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