An autonomous alarm system for personal safety assurance of intimate partner violence survivors based on passive continuous monitoring through biosensors

I Rodríguez-Rodríguez, JV Rodríguez… - Symmetry, 2020 - mdpi.com
Featured Application An alarm system based on passive monitoring through biosensors is
hereby presented with the aim of managing and preventing risky situations suffered by …

A feasibility study of a complete low-cost consumer-grade brain-computer interface system

V Peterson, C Galván, H Hernández, R Spies - Heliyon, 2020 - cell.com
Brain-computer interfaces (BCIs) are technologies that provide the user with an alternative
way of communication. A BCI measures brain activity (eg EEG) and converts it into output …

Characterization of industry 4.0 lean management problem-solving behavioral patterns using EEG sensors and deep learning

J Villalba-Diez, X Zheng, D Schmidt, M Molina - Sensors, 2019 - mdpi.com
Industry 4.0 leaders solve problems all of the time. Successful problem-solving behavioral
pattern choice determines organizational and personal success, therefore a proper …

BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks

M Fallahi, T Strufe… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the advent of consumer wearables that capture brain activity, the use of brainwaves to
verify a user's identity has been proposed as a convenient alternative to passwords. While …

Comparative evaluation of the EEG performance metrics and player ratings on the virtual reality games

PK Paranthaman, N Bajaj, N Solovey… - … IEEE conference on …, 2021 - ieeexplore.ieee.org
The low-cost electroencephalogram (EEG) devices are widely used by researchers in
human-computer interaction, video games, and software systems to evaluate the impact of …

Stress recognition using Electroencephalogram (EEG) signal

YS Alshebly, KA Sidek, MGM Johar - Journal of Physics …, 2020 - iopscience.iop.org
The electroencephalogram (EEG) is a device for measuring the electrical activity of the
brain; it has the ability to detect the waves at various frequencies. The device uses a small …

Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data

G Bruns, M Haidar - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
In neural memory decoding, a concept being mentally recalled is identified using brain data.
Recently, the feasibility of neural memory decoding with EEG data has been demonstrated …

Neurodata-based headsets for the (digital) employee well-being–responsibilities between benefit and harm

S Traunwieser - International Journal of Ethics and Systems, 2024 - emerald.com
Purpose This study aims to demonstrate the importance of recognizing stress in the
workplace. Accurate novel objective methods that use electroencephalogram (EEG) to …

Abnormal EEG Detection Using Time-Frequency Images and Convolutional Neural Network

R Bajpai, R Yuvaraj, AA Prince… - Biomedical Signals Based …, 2022 - Springer
In the process of diagnosing neurological disorders, neurologists often study the brain
activity of the patient recorded in the form of an electroencephalogram (EEG). Identifying an …

DMLS-Based Additive Manufacturing of AlSi10Mg Alloy Samples and Investigation of Heat Treatment Effects on Mechanical Properties for Biomedical Applications

RM Prasad, UN Kempaiah, N Santhosh, N Naik… - Journal of The Institution …, 2024 - Springer
Metal-additive manufacturing (AM) has evolved into a technologically competent method for
manufacturing critical components, particularly intricate metal parts, with applications …