An Electrical Impedance Tomography Drive Pattern for Fast and Accurate Gesture Recognition With Less Electrodes

2019 ◽  
Author(s):  
Gang Ma ◽  
Zhiliang Hao ◽  
Xuan Wu ◽  
Xiaojie Wang
Keyword(s):  
Electrical Impedance Tomography ◽  
Gesture Recognition ◽  
Electrical Impedance ◽  
Recognition Accuracy ◽  
Measurement Time ◽  
Detection Accuracy ◽  
Detection Experiment ◽  
Impedance Tomography ◽  
Electrode Method ◽  
Model Explanation

Abstract This paper presents an optimal Electrical Impedance Tomography (EIT) drive pattern for real-time gesture recognition, which can reduce the measurement time and realize a performance trade-off between the accuracy and the time response. This method is achieved by feature selection and model explanation. We designed eleven hand gestures to verify the proposed approach. Compared to the 8-electrode method, the optimal electrode drive pattern achieved a recognition accuracy of 97.5% with seven electrodes and the measurement time was reduced by 60%. To illustrate the universality of this method, we performed a contact detection experiment. By setting seven labels on the conductive panel and using optimal electrode drive pattern, the detection accuracy reached 100% with seven electrodes and the measurement time was reduced by 85%.

scholarly journals Evaluation of reconstruction parameters of electrical impedance tomography on aorta detection during saline bolus injection

2016 ◽  
Vol 2 (1) ◽  
pp. 511-514 ◽  
Author(s):  
Florian Thürk ◽  
Andreas D. Waldmann ◽  
Karin H. Wodack ◽  
Constantin J. Trepte ◽  
Daniel Reuter ◽  
...  
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Bolus Injection ◽  
Noise Figure ◽  
Early Stage ◽  
The Body ◽  
Detection Accuracy ◽  
Impedance Tomography ◽  
Saline Bolus ◽  
Hemodynamic Processes

AbstractAn accurate detection of anatomical structures in electrical impedance tomography (EIT) is still at an early stage. Aorta detection in EIT is of special interest, since it would favor non-invasive assessment of hemodynamic processes in the body. Here, diverse EIT reconstruction parameters of the GREIT algorithm were systematically evaluated to detect the aorta after saline bolus injection in apnea. True aorta position and size were taken from computed tomography (CT). A comparison with CT showed that the smallest error for aorta displacement was attained for noise figure nf = 0.7, weighting radius rw = 0.15, and target size ts = 0.01. The spatial extension of the aorta was most precise for nf = 0.7, rw = 0.25, and ts = 0.07. Detection accuracy (F1-score) was highest with nf = 0.6, rw = 0.15, and ts = 0.04. This work provides algorithm-related evidence for potentially accurate aorta detection in EIT after injection of a saline bolus.

scholarly journals An electrical impedance tomography based two-electrode frequency-scan gesture recognition system

2021 ◽  
Author(s):  
Gang Ma ◽  
Haofeng Chen ◽  
peng wang ◽  
Xiaojie Wang
Keyword(s):  
Electrical Impedance Tomography ◽  
Gesture Recognition ◽  
Electrical Impedance ◽  
Recognition System ◽  
Extraction Methods ◽  
General Purpose ◽  
Impedance Tomography ◽  
Machine Learning Classification ◽  
Frequency Scan ◽  
Using Data

<p> A novel two-electrode, frequency-scan electrical impedance tomography (EIT) system for gesture recognition not only reduces the measurement complexity and the number of electrodes, but also achieves a high accuracy in recognizing common gestures and pinch gestures. A bespoke circuit with two medical electrodes was developed to collect data from the back of the hand and presented a frequency-scan method to increase the diversity of impedance data. The data were processed using data cleaning and feature extraction methods. The processed data were then sent to machine learning classification models for training and realizing accurate gesture recognition. To verify the effectiveness of this system, we designed two groups of nine gestures in a hand-gesture recognition experiment. The results showed that the system can achieve a recognition accuracy of 98.3% with a group of four common gestures and an accuracy of 97.4% with a group of five pinch gestures. Additionally, two proof-of-concept interactive scenarios were implemented to demonstrate the general purpose of this system. </p>

scholarly journals An electrical impedance tomography based two-electrode frequency-scan gesture recognition system

2021 ◽  
Author(s):  
Gang Ma ◽  
Haofeng Chen ◽  
peng wang ◽  
Xiaojie Wang
Keyword(s):  
Electrical Impedance Tomography ◽  
Gesture Recognition ◽  
Electrical Impedance ◽  
Recognition System ◽  
Extraction Methods ◽  
General Purpose ◽  
Impedance Tomography ◽  
Machine Learning Classification ◽  
Frequency Scan ◽  
Using Data

<p> A novel two-electrode, frequency-scan electrical impedance tomography (EIT) system for gesture recognition not only reduces the measurement complexity and the number of electrodes, but also achieves a high accuracy in recognizing common gestures and pinch gestures. A bespoke circuit with two medical electrodes was developed to collect data from the back of the hand and presented a frequency-scan method to increase the diversity of impedance data. The data were processed using data cleaning and feature extraction methods. The processed data were then sent to machine learning classification models for training and realizing accurate gesture recognition. To verify the effectiveness of this system, we designed two groups of nine gestures in a hand-gesture recognition experiment. The results showed that the system can achieve a recognition accuracy of 98.3% with a group of four common gestures and an accuracy of 97.4% with a group of five pinch gestures. Additionally, two proof-of-concept interactive scenarios were implemented to demonstrate the general purpose of this system. </p>

CALIBRATION OF A LOW COST ELECTRICAL IMPEDANCE TOMOGRAPHY SYSTEM WITH A RING OF RESISTORS AND A KCL SOLUTION

2019 ◽  
Author(s):  
Bruno Furtado de Moura ◽  
francisco sepulveda ◽  
Jorge Luis Jorge Acevedo ◽  
Wellington Betencurte da Silva ◽  
Rogerio Ramos ◽  
...  
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Low Cost ◽  
Impedance Tomography ◽  
Tomography System
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