Hand Sign Recognition System Based on EIT Imaging and Robust CNN Classification

Author:

Ben Atitallah BilelORCID,Hu ZhengORCID,Bouchaala Dhouha,Hussain Mohammed Abrar,Ismail Amir,Derbel Nabil,Kanoun OlfaORCID

Funder

Deutsche Forschungsgemeinschaft (DFG), German Research Foundation

German Academic Exchange Service “DAAD”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 20 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. Exploring Model Compression Techniques for Efficient 1D CNN-Based Hand Gesture Recognition on Resource-Constrained Edge Devices;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

2. Comparative Study of Data Reduction Methods in Electrical Impedance Tomography For Hand Sign Recognition;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

3. Ultra-Fast Edge Computing Approach for Hand Gesture Classification Based on EIT Measurements;2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE);2024-06-20

4. Exploring the Real-Time Capability of Electrical Impedance Tomography for Hand Sign Recognition in Robotic Hand Control;2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE);2024-06-20

5. An Approach on Building Communicative Channel for Hand Sign Translation to Text and Speech Model;Lecture Notes on Multidisciplinary Industrial Engineering;2024

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