Hand EIT data for American Sign Language from 0-9.

Citation Author(s):
Tianyi
Deng
Hunan University
Submitted by:
Tianyi Deng
Last updated:
Thu, 07/11/2024 - 02:14
DOI:
10.21227/q93a-2655
Data Format:
adjacent driven patterns, 8 electrodes
License:
Creative Commons Attribution
490 Views
Categories:
Wearable Sensing
Keywords:
ASL; Pattern Recognition; Machine Learning; Computer Vision
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Abstract 

This is an American Sign Language from 0-9 dataset based on an 8-electrode EIT on the arm. The excitation frequency is 50kHz, the current is 1.81mA, and the measurement circuit is based on a MAX30009 chip and a CH74HC4067 multiplexer. The data type is txt, the total number of arrays is 3000 (300 per gesture), and each txt file consists of 256 rows and 1 column of data, 1: 64 rows for the resistance value of the relaxed gesture; 65: 128 rows for the resistance value of the digital gesture when it is made; 129: 192 rows for the reactance value under the relaxed gesture, and 193: 256 rows for the reactance value of the digital gesture when it is made.

Instructions: 

This is an American Sign Language from 0-9 dataset based on an 8-electrode EIT on the arm. The excitation frequency is 50kHz, the current is 1.81mA, and the measurement circuit is based on a MAX30009 chip and a CH74HC4067 multiplexer. The data type is txt, the total number of arrays is 3000 (300 per gesture), and each txt file consists of 256 rows and 1 column of data, 1: 64 rows for the resistance value of the relaxed gesture; 65: 128 rows for the resistance value of the digital gesture when it is made; 129: 192 rows for the reactance value under the relaxed gesture, and 193: 256 rows for the reactance value of the digital gesture when it is made.

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