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A Hybrid Deep Learning Model for Real Time Hand Gestures Recognition

  • Published:2023 Issue:1 Volume:36 Page:1105-1119
  • ISSN:1079-8587
  • Container-title:Intelligent Automation & Soft Computing
  • language:en
  • Short-container-title:

Author:

Gnanapriya S.,Rahimunnisa K.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference34 articles.

1. A method for hand gesture recognition;Shukla,2014

2. Vision-based hand gesture recognition for Indian sign language using convolution neural network;Gangrade;IETE Journal of Research,2020

3. Skin-based adaptive background subtraction for hand gesture segmentation;Elsayed,2015

4. Background subtraction using Gaussian mixture model enhanced by hole filling algorithm;Nurhadiyatna,2013

5. Hand gesture recognition in complex background based on convolutional pose machine and fuzzy Gaussian mixture models;Zhang;International Journal of Fuzzy Systems,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VRGestures: Controller and Hand Gesture Datasets for Virtual Reality;Advances in Computer Graphics;2024

2. A Novel Approach for Recognition and Classification of Hand Gesture Using Deep Convolution Neural Networks;Communications in Computer and Information Science;2023-11-05

3. Real-time Hand Gesture Recognition Using MediaPipe and Artificial Neural Networks;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network;Computer Systems Science and Engineering;2023
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