[HTML][HTML] Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review

A Al-Nafjan, M Hosny, Y Al-Ohali, A Al-Wabil - Applied Sciences, 2017 - mdpi.com
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Electroencephalograph (EEG) based emotion recognition system: A review

KP Wagh, K Vasanth - … Engineering: Proceedings of the 6th ICIECE 2017, 2019 - Springer
Brain–computer interfacing is recent technology through which we can communicate with
the outside world using the brain signals. This technology plays an important role in the …

Exploring the relationship between office lighting, cognitive performance, and psychophysiological responses: A multidimensional approach

D Jung, J An, T Hong - Building and Environment, 2024 - Elsevier
Recognizing the growing importance of optimizing work environments for better cognitive
performance, this study examined the relationships between general office lighting …

EEG based cognitive task classification using multifractal detrended fluctuation analysis

G Gaurav, RS Anand, V Kumar - Cognitive Neurodynamics, 2021 - Springer
Locating cognitive task states by measuring changes in electrocortical activity due to various
attentional and sensory-motor changes, has been in research interest since last few …

Image edge detectors under different noise levels with FPGA implementations

T Bonny, S Henno - Journal of Circuits, Systems and Computers, 2018 - World Scientific
The process to locate objects in an image passes through different phases. At the forefront of
these phases, and most importantly, is the edge detection. If edges in an image are …

Visual Fatigue Prediction using Classification Model based on Physiological Responses of Occupants under Office Lightings

D Jung, J An, T Hong, M Lee - Journal of Building Engineering, 2024 - Elsevier
Appropriate management of visual fatigue is crucial for eye health as it significantly impacts
life quality throughout an individual's life cycle. The shift to digital tasks in modern office …

EEG signals classification based on time frequency analysis

A Ridouh, D Boutana, S Bourennane - Journal of Circuits, Systems …, 2017 - World Scientific
This paper presents a method to characterize, identify and classify some pathological
Electroencephalogram (EEG) signals. We use some Time Frequency Distributions (TFDs) to …

A Novel Probabilistic Network Model for Estimating Cognitive-Gait Connection Using Multimodal Interface

S Hazra, AA Pratap, A Nandy - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
Research in human gait analysis has captivated several computer vision researchers to
solve human identification problems. The proposed work provides a novel approach for …

An efficient method for selecting the optimal features using evolutionary algorithms for epilepsy diagnosis

S Afrakhteh, MR Mosavi - Journal of Circuits, Systems and …, 2020 - World Scientific
One of the important parameters in the brain–computer interface (BCI) system is speed.
Therefore, it is always desirable to design a high-speed system that has an acceptable …

Cognitive Internet of Vulnerable Road Users in Traffic: Predictive Neural Modulations of Road Crossing Intention

X Zhou, CC Menassa, VR Kamat - arXiv preprint arXiv:2405.13955, 2024 - arxiv.org
Vulnerable Road Users (VRUs) present a significant challenge for road safety due to the
frequent unpredictability of their behaviors. In typical Intelligent Transportation Systems …