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In this study, we investigate the influence of reducing the number of EIT measurements on the classification accuracy.
Aug 26, 2024 · Electrical impedance tomography (EIT) can monitor the influence of the muscle activity on the conductivity distribution across the forearm and ...
The study demonstrated that the number of EIT measurements can be reduced without compromising overall accuracy. Index Terms—Electrical Impedance Tomography, ...
... Comparative Study of Data Reduction Methods in Electrical Impedance Tomography For Hand Sign Recognition," IEEE 7th International Conference on Advanced ...
Aug 2, 2024 · In this work, bioimpedance patterns were investigated for monitoring subjects' mobility, where, generally, these solutions are based on a sensor ...
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Jul 18, 2022 · We propose studying the characterization and classification of bioimpedance patterns based on EIT by measuring, on the forearm with eight electrodes in a non- ...
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Aug 10, 2021 · The performed t-SNE analysis confirms a much stronger inter-session and inter-user variance compared to the expected in-class variance.
Missing: Comparative | Show results with:Comparative
Jun 11, 2024 · This paper presents a novel approach that combines Impedance Signal Spectrum Analysis (ISSA) with machine learning to improve gesture ...
Comparative Study of Data Reduction Methods in Electrical Impedance Tomography for Hand Sign Recognition. 2024, 7th IEEE International Conference on Advanced ...
Dynamic Hand Gesture Recognition Using Electrical Impedance Tomography · Comparative Study of Data Reduction Methods in Electrical Impedance Tomography For Hand ...