J. Mountstephens

发表

Aesthetic preference recognition of 3D shapes using EEG

Lin Hou Chew, L. Chew, J. Teo, 2015, Cognitive Neurodynamics.

Medical image interpretation training with a low‐cost eye tracking and feedback system: A preliminary study

J. Teo, J. Mountstephens, Y. Teh, 2021, Healthcare Technology Letters.

Experiments in Modelling Attention Fatigue

J. Mountstephens, T-Yunn Chia, 2015 .

Selective Visual Attention in Electronic Video Surveillance

Khurshid Ahmad, James Mountstephens, Craig Bennett, 2016, PRIS.

TOWARDS COMPUTER-GENERATED MNEMONIC PHRASES: EXPERIMENTS WITH GENETIC ALGORITHMS AND N-GRAMS

James Mountstephens, J. Mountstephens, 2014 .

Deep learning for EEG-Based preference classification

James Mountstephens, Jason Teo, Chew Lin Hou, 2017 .

Aesthetic preference recognition of 3D shapes using EEG

Lin Hou Chew, J. Teo, J. Mountstephens, 2016, Cognitive Neurodynamics.

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities

James Mountstephens, Jason Teo, Nazmi Sofian Suhaimi, 2020, Comput. Intell. Neurosci..

Four-class emotion classification in virtual reality using pupillometry

James Mountstephens, Lim Jia Zheng, Jason Teo, 2020, Journal of Big Data.

Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges

James Mountstephens, Jason Teo, Jia Zheng Lim, 2020, Sensors.

Eye-Tracking Feature Extraction for Biometric Machine Learning

Jia Zheng Lim, J. Teo, J. Mountstephens, 2022, Frontiers in Neurorobotics.

A Dataset for Emotion Recognition Using Virtual Reality and EEG (DER-VREEG): Emotional State Classification Using Low-Cost Wearable VR-EEG Headsets

N. S. Suhaimi, J. Teo, J. Mountstephens, 2022, Big Data Cogn. Comput..

Classification of Affective States via EEG and Deep Learning

Jason Teo, Lin Hou Chew, James Mountstephens, 2018 .

Multiclass Emotion Classification Using Pupil Size in VR: Tuning Support Vector Machines to Improve Performance

James Mountstephens, Jason Teo Tze Wi, Lim Jia Zheng, 2020, Journal of Physics: Conference Series.

Progress and Challenges in Generative Product Design: A Review of Systems

James Mountstephens, Jason Teo, J. Teo, 2020, Comput..

Four-class emotion classification in virtual reality using pupillometry

J. Teo, J. Mountstephens, L. Zheng, 2020, Journal of Big Data.

Enhancing Memory For Technical Lists With Computer-Generated Mnemonics

J. Mountstephens, 2020, 2020 Sixth International Conference on e-Learning (econf).

A review of recent approaches for emotion classification using electrocardiography and electrodermography signals

James Mountstephens, Jason Teo, Ng Giap Weng, 2020 .

Investigating Electrodermography (EDG) and Heart Rate (HR) Signals for Emotion Classification in Virtual Reality

J. Teo, J. Mountstephens, A. F. Bulagang, 2022, 2022 International Visualization, Informatics and Technology Conference (IVIT).

Explorations of A Real-Time VR Emotion Prediction System Using Wearable Brain-Computer Interfacing

N. S. Suhaimi, J. Teo, J. Mountstephens, 2021, Journal of Physics: Conference Series.

A Novel Approach for Emotion Classification in Virtual Reality using Heart Rate (HR) and Inter-beat Interval (IBI)

J. Teo, J. Mountstephens, A. F. Bulagang, 2021, 2021 IEEE International Conference on Computing (ICOCO).

Electrodermography and Heart Rate Sensing for Multiclass Emotion Prediction in Virtual Reality: A Preliminary Investigation

J. Teo, J. Mountstephens, A. F. Bulagang, 2021, 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA).

Class-Based Analysis of Russell's Four-Quadrant Emotion Prediction in Virtual Reality using Multi-Layer Feedforward ANNs

James Mountstephens, Jason Teo, Nazmi Sofian Suhaimi, 2021, ICSCA.

Tuning Support Vector Machines for Improving Four-Class Emotion Classification in Virtual Reality (VR) using Heart Rate Features

James Mountstephens, Aaron Frederick Bulagang, Jason Teo Tze Wi, 2020, Journal of Physics: Conference Series.

Emotional State Classification with Distributed Random Forest, Gradient Boosting Machine and Naïve Bayes in Virtual Reality Using Wearable Electroencephalography and Inertial Sensing

James Mountstephens, Jason Teo, Nazmi Sofian Bin Suhaimi, 2020, 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE).

Emotional State Classification in Virtual Reality Using Wearable Electroencephalography

Jason Teo, James Mountstephens, N. S. Suhaimi, 2018 .

Support Vector Machine Tuning for Improving Four-Quadrant Emotion Prediction in Virtual Reality (VR) using Wearable Electrodermography (EDG)

J. Teo, J. Mountstephens, A. F. Bulagang, 2021 .

Empirical Analysis of Intra vs. Inter-Subject Variability in VR EEG-Based Emotion Modelling

Jason Teo, N. S. Suhaimi, J. Mountstephens, 2018 .

Modeling the affective space of 360 virtual reality videos based on arousal and valence for wearable EEG-based VR emotion classification

Jason Teo, James Mountstephens, Nazmi Sofian Suhaimi, 2018, 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA).

Multiclass emotion prediction using heart rate and virtual reality stimuli

James Mountstephens, Jason Teo, Aaron Frederick Bulagang, 2021, J. Big Data.

Eye Fixation Versus Pupil Diameter as Eye-Tracking Features for Virtual Reality Emotion Classification

J. Teo, J. Mountstephens, L. Zheng, 2021, 2021 IEEE International Conference on Computing (ICOCO).

A Great Deluge Algorithm for University Course Timetabling

Say Leng Goh, J. Mountstephens, Jonathan Likoh, 2023, 2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

Comparative analysis of electroencephalogram-based classification of user responses to statically vs. dynamically presented visual stimuli

Jason Teo, Lin Hou Chew, James Mountstephens, 2015 .

EEG-BASED AESTHETICS PREFERENCE MEASUREMENT WITH 3D STIMULI USING WAVELET TRANSFORM

Lin Hou Chew, J. Teo, J. Mountstephens, 2015 .

Quantifying the Contextual Separability of Visual Confusion

James Mountstephens, J. Mountstephens, 2013, 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation.