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About Deep Learning-Based Approach For Sign Language Gesture Recognition With Efficient Hand Gesture Representation
This document summarizes a research paper that proposes a deep learning-based approach for sign language gesture recognition. The approach uses multiple deep learning models for hand segmentation, local and global feature extraction, and sequence modeling. It evaluates the approach on a challenging dataset of 40 dynamic hand gestures performed by 40 subjects in uncontrolled environments. The results show the proposed approach outperforms state-of-the-art methods, demonstrating its effectiveness at sign language gesture recognition.
Detailed Information
| Author: | ['Aakash Konijeti'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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