Dynamic Hand Gesture Recognition Using Effective Feature Extraction and Attention Based Deep Neural Network.
Author:
Affiliation:
1. The University of Aizu,School of Computer Science and Engineering,Fukushima,Japan,965-8580
2. Rajshahi University of Eng.& and Tech. (RUET),Department of Computer Science and Engineering,Rajshahi,Bangladesh,6204
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10387741/10387791/10387870.pdf?arnumber=10387870
Reference42 articles.
1. Robust hand gesture recognition with kinect sensor
2. Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data
3. Dynamic Hand Gesture Recognition Using Multi-Branch Attention Based Graph and General Deep Learning Model
4. Multi-Stream General and Graph-Based Deep Neural Networks for Skeleton-Based Sign Language Recognition
5. Multistage Spatial Attention-Based Neural Network for Hand Gesture Recognition
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1. Machine Learning-Based Feature Extraction and Classification of EMG Signals for Intuitive Prosthetic Control;Applied Sciences;2024-07-02
2. Korean Sign Language Alphabet Recognition Through the Integration of Handcrafted and Deep Learning-Based Two-Stream Feature Extraction Approach;IEEE Access;2024
3. Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network;IEEE Open Journal of the Computer Society;2024
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