Search Results for author:
Found 20 papers, 8 papers with code
Review of algorithms for predicting fatigue using EEG
The primary objective of this study was to assess the efficacy of various algorithms in predicting an individual's level of fatigue based on EEG data.
EEG for fatigue monitoring
Physiological fatigue, a state of reduced cognitive and physical performance resulting from prolonged mental or physical exertion, poses significant challenges in various domains, including healthcare, aviation, transportation, and industrial sectors.
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report
Artificial intelligence has made significant advances in recent years and this has had an impact on the field of neuroscience.
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG
For the most part, the paper provides technical information on how to implement this device.
Cycle-GAN for eye-tracking
This manuscript presents a not typical implementation of the cycle generative adversarial networks (Cycle-GAN) method for eye-tracking tasks.
Raspberry PI Shield - for measure EEG (PIEEG)
According to its characteristics, the device is compared to the signal-to-noise level of the ADS1299 device produced by Texas instruments and used for comparison in this paper.
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals.
Low-cost brain computer interface for everyday use
Here we describe a compact, low-cost EEG device suitable for daily use.
Deep learning, machine vision in agriculture in 2021
The manuscript presents the complete analysis of researches over the past 10 years on the use of neural networks for the classification and tracking of weeds due to neural networks.
Machine vision for low-cost remote control of mosquitoes by power laser
In this paper, we present an innovative and effective method for remote monitoring of mosquitoes and their neutralization.
Raspberry PI for Kill Mosquitoes by Laser
More than 700 thousand human deaths from mosquito bites are observed annually in the world.
Dataset for eye-tracking tasks
In the manuscript, we presented a dataset that is suitable for training custom models of convolutional neural networks for eye-tracking tasks.
Review of Neural Networks in the EEG Signal Recognition
In the last decade, unprecedented progress in the development of neural networks influenced dozens of different industries, among which are signal processing for the electroencephalography process (EEG).
The electronic board to replace the reference voltage on the earlobe for EEG measurement
Algorithms in software to exclude instantaneous changes in potential on the earlobe were written in the STM32.
Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism
This article presents the method for the quick and anonymous alcoholism diagnosis by neural networks.
Signal Processing
A Concept of a Compact and Inexpensive Device for Controlling Weeds with Laser Beams
The 1 W laser was not sufficient to eliminate all weed plants and required too long exposure time.
A review of the low-cost eye-tracking systems for 2010-2020
The manuscript presented an analysis of the work in the field of eye-tracking over the past ten years in the low-cost filed.
Deep Neural Networks for Low-Cost Eye Tracking
The paper presents a detailed analysis of modern techniques that can be used to track gaze with a webcam.
Neural network for automatic farm control
Prediction of metrological, botanical characteristics is extremely important for different directions in agriculture.
