Cognitive and affective brain–computer interfaces for improving learning strategies and enhancing student capabilities: A systematic literature review
Brain–computer interface (BCI) technology has the potential to positively contribute to the
educational learning environment, which faces many challenges and shortcomings …
educational learning environment, which faces many challenges and shortcomings …
A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system
Objective Key challenges in upper limb prosthetics include a lack of effective control
systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive …
systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive …
A multi representation deep learning approach for epileptic seizure detection
Epileptic seizures, unpredictable in nature and potentially dangerous during activities like
driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
Attention state classification with in-ear EEG
Electroencephalography entirely inside the ear (in-ear EEG) opens up exciting avenues for
unobtrusive continuous physiological and cognitive state monitoring. This work presents …
unobtrusive continuous physiological and cognitive state monitoring. This work presents …
Concentration level prediction system for the students based on physiological measures using the EEG device
Concentration level plays a significant role while performing cognitive actions. There are
many ways to predict the concentration level, such as with the help of physical reflection …
many ways to predict the concentration level, such as with the help of physical reflection …
EEG-Based Lie Detection Using Autoencoder Deep Learning with Muse II Brain Sensing
Detecting deception has significant implications in fields like law enforcement and security.
This research aims to develop an effective lie detection system using …
This research aims to develop an effective lie detection system using …
Distance Metric-Based Classification Comparisons for a Brain-Computer Interface Authentication
The rise of security concerns has spurred on-going research into Brain-Computer Interfaces
(BCI) based authentication. These applications utilize electroencephalogram (EEG) signals …
(BCI) based authentication. These applications utilize electroencephalogram (EEG) signals …
Implementation Artificial Neural Network on Microcontroller for Student Attention Level Monitoring Device Using EEG
D Lestari, PST Muhammad… - 2020 6th International …, 2020 - ieeexplore.ieee.org
The ability to concentrate is needed by students in the learning process. Also, the level of
concentration required by each employee when they want to do various kinds of work …
concentration required by each employee when they want to do various kinds of work …
EEG Patterns on Learning Concentration Using Short Learning Videos Based on Time-Frequency Domain
SS Pakadang, AD Wibawa… - … International Seminar on …, 2024 - ieeexplore.ieee.org
Learning concentration has a very important role in every learning process. One way to
maintain concentration and one of the most popular methods in learning used today is …
maintain concentration and one of the most popular methods in learning used today is …
IoT Based Cytokine Storm Symptoms Early Warning System for Covid-19 Self-Isolating Patient
Covid-19, which has spread throughout the world, has reportedly caused millions of deaths.
Among the causes of the patient's death is the phase after the patient is declared negative …
Among the causes of the patient's death is the phase after the patient is declared negative …