A systematic review for human EEG brain signals based emotion classification, feature extraction, brain condition, group comparison

M Hamada, BB Zaidan, AA Zaidan - Journal of medical systems, 2018 - Springer
The study of electroencephalography (EEG) signals is not a new topic. However, the
analysis of human emotions upon exposure to music considered as important direction …

Towards the recognition of the emotions of people with visual disabilities through brain–computer interfaces

JL López-Hernández, I González-Carrasco… - Sensors, 2019 - mdpi.com
A brain–computer interface is an alternative for communication between people and
computers, through the acquisition and analysis of brain signals. Research related to this …

Affective content analysis of music emotion through EEG

JL Hsu, YL Zhen, TC Lin, YS Chiu - Multimedia Systems, 2018 - Springer
Emotion recognition of music objects is a promising and important research issues in the
field of music information retrieval. Usually, music emotion recognition could be considered …

Novel audio feature projection using KDLPCCA-based correlation with EEG features for favorite music classification

R Sawata, T Ogawa… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
A novel audio feature projection using Kernel Discriminative Locality Preserving Canonical
Correlation Analysis (KDLPCCA)-based correlation with electroencephalogram (EEG) …

Copula ordinal regression framework for joint estimation of facial action unit intensity

R Walecki, O Rudovic, V Pavlovic… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Joint modeling of the intensity of multiple facial action units (AUs) from face images is
challenging due to the large number of AUs (30+) and their intensity levels (6). This is in part …

What song am I thinking of?

N McGuire, Y Moshfeghi - … on Machine Learning, Optimization, and Data …, 2023 - Springer
Abstract Information Need (IN) is a complex phenomenon due to the difficulty experienced
when realising and formulating it into a query format. This leads to a semantic gap between …

Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA

R Sawata, T Ogawa… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
This paper presents a novel method of favorite music classification using EEG-based
optimal audio features. To select audio features related to user's music preference, our …

Recognition of Emotions Based on Facial Expressions Using Bidirectional Long-Short-Term Memory and Machine Learning Techniques

SB Dhekale, DK Shedge - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The most effective form of non-verbal communication that a person can use is found in their
facial expressions. It is possible to gain insight into a person's feelings by seeing the …

Systems and methods for training a neurome that emulates the brain of a user

B Johnson, E Pratt, J Alford, H Katnani… - US Patent …, 2021 - Google Patents
A system for training a neurome that emulates a brain of a user comprises a non-invasive
brain interface assembly configured for detecting neural activity of the user in response to …

[HTML][HTML] Análisis y clasificación de emociones en personas con discapacidad visual usando señales EEG y aprendizaje automático

JLL Hernández - 2022 - dialnet.unirioja.es
Actualmente, el reconocimiento y clasificación de las emociones humanas a partir del
análisis de la actividad cerebral de una persona, sigue representando un desafío y un …