Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy

W Li, Z Zhang, A Song - Measurement, 2021 - Elsevier
Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …

An improved similarity measure for generalized trapezoidal fuzzy numbers and its application in the classification of EEG signals

Z Qi - International Journal of Fuzzy Systems, 2021 - Springer
The classification of electroencephalogram (EEG) signals plays a key role in detecting brain
activities. Fuzzy methods are widely applied in decision-making problems because they are …

[PDF][PDF] Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA)

NIM Razi, AWA Rahman, N Kamarudin - Indonesian Journal of …, 2020 - academia.edu
Learning disability (LD) is a neurological processing disorder that causes impediment in
processing and understanding information. LD is not only affecting academic performance …

A Comparitive Study of Machine Learning Algorithms for Identifying Mental States from EEG Recordings

C Easttom, I Alsmadi - 2022 IEEE 12th Annual Computing and …, 2022 - ieeexplore.ieee.org
Machine learning for studying EEG data has been widely published. On sub-area of
research is the identification of mental states by applying machine learning to EEG …

Development of unified neuro-affective classification tool (UNACT)

MF Hossain, H Yaacob, A Nordin - IOP Conference Series …, 2021 - iopscience.iop.org
Brain signals have been analysed to understand the affective state of different cognitive and
mental conditions. For example, through the analysis, we can visualize the changes of …

[PDF][PDF] An efficient distance estimation and centroid selection based on k-means clustering for small and large dataset

GG Ladha, RKS Pippal - International Journal of Advanced …, 2020 - academia.edu
In this paper an efficient distance estimation and centroid selection based on k-means
clustering for small and large dataset. Data pre-processing was performed first on the …

Exploring Emotional Responses of Design Styles using Electroencephalogram (EEG)

AA Rahman, MS Hamzah, H Yaacob… - … in Applied Sciences …, 2024 - semarakilmu.com.my
Emotion is a huge factor in creating immersive experience when playing a video game. It
can be stimulated by visual design elements. In particular, different levels of realism have an …

[PDF][PDF] Dyslexia Diagnosis using the EEG Signal: A Machine Learning Approach

H Al-Barhamtoshy, DEM Motaweh - 2024 - preprints.org
Dyslexia is a learning disorder impacting reading, writing, calculation, memory, and spelling
abilities. It is a neurodevelopmental condition affecting approximately 5-10% of the …