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What is Hand Gesture Classification via EIT about?

This document summarizes a research article that proposes using electrical impedance tomography (EIT) images from a wearable wrist band to classify hand gestures. The wrist band uses 16 electrodes to measure transverse impedance and generate EIT images of the hand/wrist. A consistency technique is used to obtain high-resolution images by integrating initial low-resolution EIT images. Band-pass filtering is applied to extract regions of interest and highlight wrist tissue features. A deep learning model usin

Author

bhanumathiv

Language

EN