Detection of mental state from EEG signal data: an investigation with machine learning classifiers

AA Rahman, MI Siraji, LI Khalid, F Faisal… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
The mental state of a person is a combination of very complex neural activities which
determine the current state of mind. It depends on a lot of external factors as well as internal …

Classification of User Emotional Experiences on B2C Websites Utilizing Infrared Thermal Imaging

L Li, W Tang, H Yang, C Xue - Sensors, 2023 - mdpi.com
The acquisition of physiological signals for analyzing emotional experiences has been
intrusive, and potentially yields inaccurate results. This study employed infrared thermal …

[PDF][PDF] Classification of Brain Signals Using Classifiers for Automated Wheelchair Application

RK Kanna, R Vasuki - International Journal of Modern Agriculture, 2021 - researchgate.net
The electroencephalogram (EEG) signals arrangement assumes a significant part in
creating assistive recovery gadgets for genuinely handicapped performs. In this unique …

[HTML][HTML] Interactive Application as a Teaching Aid in Mechanical Engineering

P Weis, L Smetanka, S Hrček, M Vereš - Computers, 2024 - mdpi.com
This paper examines the integration of interactive 3D applications into the teaching process
in mechanical engineering education. An innovative interactive 3D application has been …

Digital music interventions for stress with bio-sensing: a survey

A Ferguson, C Castellanos, P Pasquier - Frontiers in Computer …, 2023 - frontiersin.org
Music therapy is used to treat stress and anxiety in patients for a broad range of reasons
such as cancer treatment, substance abuse, addressing trauma, and just daily stress in life …

A review on the use of machine learning techniques in music recommendation system for healthcare management

YP Pingle, LK Ragha - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Music is one of the most effective therapies for ailments and pushes patients to heal quickly.
By making the patient mentally fit and assisting them in overcoming the ailment, music …

M1M2: deep-learning-based real-time emotion recognition from neural activity

S Akter, RA Prodhan, TS Pias, D Eisenberg… - Sensors, 2022 - mdpi.com
Emotion recognition, or the ability of computers to interpret people's emotional states, is a
very active research area with vast applications to improve people's lives. However, most …

Application and algorithm optimization of music emotion recognition in piano performance evaluation

Y Zhang, D Cai, D Zhang - Environment and Social Psychology, 2024 - esp.as-pub.com
In the current research, we integrate distinct learning modalities—Curriculum Learning (CL)
and Reinforcement Learning (RL)—in an attempt to develop and optimize Music Emotion …

Facial emotion recognition using deep learning approach

R Sowmiya, G Sivakamasundari… - 2022 International …, 2022 - ieeexplore.ieee.org
Human facial emotion recognition pays a variety of applications in society. The basic idea of
Facial Emotion Recognition is to map the different facial emotions to a variety of emotional …

Physical exercise effects on university students' attention: An EEG analysis approach

OR Contreras-Jordán, R Sánchez-Reolid… - Electronics, 2022 - mdpi.com
Physically active breaks (AB) are currently being proposed as an interesting tool to improve
students' attention. Reviews and meta-analyses confirm their effect on attention, but also …