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Nattapong Thammasan
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Year
Familiarity effects in EEG-based emotion recognition
N Thammasan, K Moriyama, K Fukui, M Numao
Brain informatics 4, 39-50, 2017
1112017
Continuous music-emotion recognition based on electroencephalogram
N Thammasan, K Moriyama, K Fukui, M Numao
IEICE TRANSACTIONS on Information and Systems 99 (4), 1234-1241, 2016
732016
Application of deep belief networks in eeg-based dynamic music-emotion recognition
N Thammasan, K Fukui, M Numao
2016 International Joint Conference on Neural Networks (IJCNN), 881-888, 2016
652016
Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention
IV Stuldreher, N Thammasan, JBF van Erp, AM Brouwer
Journal of neural engineering 17 (4), 046028, 2020
452020
Physiological synchrony in EEG, electrodermal activity and heart rate detects attentionally relevant events in time
IV Stuldreher, N Thammasan, JBF Van Erp, AM Brouwer
Frontiers in Neuroscience 14, 575521, 2020
302020
A usability study of physiological measurement in school using wearable sensors
N Thammasan, IV Stuldreher, E Schreuders, M Giletta, AM Brouwer
Sensors 20 (18), 5380, 2020
302020
A comparative study of window size and channel arrangement on EEG-emotion recognition using deep CNN
P Keelawat, N Thammasan, M Numao, B Kijsirikul
Sensors 21 (5), 1678, 2021
292021
Subject-independent emotion recognition during music listening based on EEG using deep convolutional neural networks
P Keelawat, N Thammasan, B Kijsirikul, M Numao
2019 IEEE 15th International Colloquium on Signal Processing & Its …, 2019
242019
Multimodal fusion of EEG and musical features in music-emotion recognition
N Thammasan, K Fukui, M Numao
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
212017
Spatiotemporal emotion recognition using deep CNN based on EEG during music listening
P Keelawat, N Thammasan, M Numao, B Kijsirikul
arXiv preprint arXiv:1910.09719, 2019
142019
An investigation of annotation smoothing for eeg-based continuous music-emotion recognition
N Thammasan, K Fukui, M Numao
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
142016
A comparison between laboratory and wearable sensors in the context of physiological synchrony
JJ van Beers, IV Stuldreher, N Thammasan, AM Brouwer
Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020
122020
Cross-frequency power-power coupling analysis: A useful cross-frequency measure to classify ICA-decomposed EEG
N Thammasan, M Miyakoshi
Sensors 20 (24), 7040, 2020
112020
Shared attention reflected in EEG, electrodermal activity and heart rate.
AM Brouwer, IV Stuldreher, N Thammasan
SAT@ SMC, 27-31, 2019
112019
Exploring the brain activity related to missing penalty kicks: an fNIRS study
MWJ Slutter, N Thammasan, M Poel
Frontiers in Computer Science 3, 32, 2021
102021
Validation of wearables for electrodermal activity (EdaMove) and heart rate (Wahoo Tickr)
A Borovac, I Stuldreher, N Thammasan, AM Brouwer
12th International Conference on Methods and Techniques in Behavioral …, 2021
92021
EEG-based emotion recognition during music listening
N Thammasan
人工知能学会全国大会論文集 第 28 回 (2014), 1F5OS06b1-1F5OS06b1, 2014
92014
Multimodal stability-sensitive emotion recognition based on brainwave and physiological signals
N Thammasan, JL Hagad, K Fukui, M Numao
2017 seventh international conference on affective computing and intelligent …, 2017
82017
Unsupervised clustering of individuals sharing selective attentional focus using physiological synchrony
IV Stuldreher, A Merasli, N Thammasan, JBF van Erp, AM Brouwer
Frontiers in Neuroergonomics 2, 750248, 2022
62022
Analytic approaches for the combination of autonomic and neural activity in the assessment of physiological synchrony
IV Stuldreher, CFJ de Winter, N Thammasan, AM Brouwer
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
62019
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Articles 1–20