EEG‐based emotion recognition: a state‐of‐the‐art review of current trends and opportunities NS Suhaimi, J Mountstephens, J Teo Computational intelligence and neuroscience 2020 (1), 8875426, 2020 | 295 | 2020 |
Emotion recognition using eye-tracking: taxonomy, review and current challenges JZ Lim, J Mountstephens, J Teo Sensors 20 (8), 2384, 2020 | 227 | 2020 |
Aesthetic preference recognition of 3D shapes using EEG LH Chew, J Teo, J Mountstephens Cognitive neurodynamics 10, 165-173, 2016 | 96 | 2016 |
A review of recent approaches for emotion classification using electrocardiography and electrodermography signals AF Bulagang, NG Weng, J Mountstephens, J Teo Informatics in Medicine Unlocked 20, 100363, 2020 | 81 | 2020 |
Progress and challenges in generative product design: A review of systems J Mountstephens, J Teo Computers 9 (4), 80, 2020 | 55 | 2020 |
A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets NS Suhaimi, J Mountstephens, J Teo Big Data and Cognitive Computing 6 (1), 16, 2022 | 53 | 2022 |
Four-class emotion classification in virtual reality using pupillometry LJ Zheng, J Mountstephens, J Teo Journal of Big Data 7, 1-9, 2020 | 46 | 2020 |
Deep learning for EEG-based preference classification J Teo, CL Hou, J Mountstephens AIP Conference Proceedings 1891 (1), 2017 | 41 | 2017 |
Multiclass emotion prediction using heart rate and virtual reality stimuli AF Bulagang, J Mountstephens, J Teo Journal of Big Data 8, 1-12, 2021 | 33 | 2021 |
Classification of affective states via EEG and deep learning J Teo, LH Chew, JT Chia, J Mountstephens International Journal of Advanced Computer Science and Applications 9 (5), 2018 | 33 | 2018 |
Eye-tracking feature extraction for biometric machine learning JZ Lim, J Mountstephens, J Teo Frontiers in neurorobotics 15, 796895, 2022 | 32 | 2022 |
Modeling the affective space of 360 virtual reality videos based on arousal and valence for wearable EEG-based VR emotion classification NS Suhaimi, CTB Yuan, J Teo, J Mountstephens 2018 IEEE 14th International Colloquium on Signal Processing & Its …, 2018 | 29 | 2018 |
Preference classification using electroencephalography (EEG) and deep learning J Teo, CL Hou, J Mountstephens Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 …, 2018 | 20 | 2018 |
Emotional state classification with distributed random forest, gradient boosting machine and naïve bayes in virtual reality using wearable electroencephalography and inertial … NSB Suhaimi, J Mountstephens, J Teo 2020 IEEE 10th symposium on computer applications & industrial electronics …, 2020 | 13 | 2020 |
Multistage image clustering and segmentation with normalised cuts MY Choong, CF Liau, J Mountstephens, MS Arifianto, KTK Teo 2012 Third International Conference on Intelligent Systems Modelling and …, 2012 | 13 | 2012 |
Emotional state classification in virtual reality using wearable electroencephalography NS Suhaimi, J Teo, J Mountstephens IOP Conference Series: Materials Science and Engineering 341, 012016, 2018 | 10 | 2018 |
Game AI generation using evolutionary multi-objective optimization CK Tong, CK On, J Teo, J Mountstephens 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 10 | 2012 |
Multiclass emotion classification using pupil size in vr: Tuning support vector machines to improve performance LJ Zheng, J Mountstephens, JTT Wi Journal of Physics: Conference Series 1529 (5), 052062, 2020 | 8 | 2020 |
Eye fixation versus pupil diameter as eye-tracking features for virtual reality emotion classification LJ Zheng, J Mountstephens, J Teo 2021 IEEE International Conference on Computing (ICOCO), 315-319, 2021 | 7 | 2021 |
Medical image interpretation training with a low‐cost eye tracking and feedback system: A preliminary study MTZ Quen, J Mountstephens, YG Teh, J Teo Healthcare Technology Letters 8 (4), 97-103, 2021 | 6 | 2021 |