Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms-Reference-Cited by-同舟云学术

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Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms

Published:2021-09-29 Issue: Volume: Page:
ISSN:
Container-title:2021 International Workshop on Impedance Spectroscopy (IWIS)
language:
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Author:

Hafsa Mariem,Atitallah Bilel Ben,ben Salah Taha,Ben Amara Najoua Essoukri,Kanoun Olfa

Funder

German Research Foundation ‘DFG’ (Deutsche Forschungsgemeinschaft)

Federal Ministry for Economic Cooperation and Development (BMZ) Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9711751/9711675/09711814.pdf?arnumber=9711814

Reference5 articles.

1. Application of a New Symmetry-Based Cluster Validity Index for Satellite Image Segmentation

2. Genetic Algorithms and Adaptation

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

4. Training artificial neural network using particle swarm optimization algorithm;roy;International Journal of Advanced Research in Computer Science and Software Engineering,2013

5. Improved Imaging Resolution of Electrical Impedance Tomography Using Artificial Neural Networks for Image Reconstruction

Cited by 2 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. Machine learning-enhanced gesture recognition through impedance signal analysis;Journal of Electrical Bioimpedance;2024-01-01

2. Realistic 2D Model of the Human Thorax for Electrical Impedance Tomography;2022 International Workshop on Impedance Spectroscopy (IWIS);2022-09-27

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