Dan Zhang
Dan Zhang
Associate Professor, Department of Psychology, Tsinghua University
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Zitiert von
Zitiert von
An independent brain–computer interface using covert non-spatial visual selective attention
D Zhang, A Maye, X Gao, B Hong, AK Engel, S Gao
Journal of neural engineering 7 (1), 016010, 2010
EEG correlates of ten positive emotions
X Hu, J Yu, M Song, C Yu, F Wang, P Sun, D Wang, D Zhang
Frontiers in human neuroscience 11, 26, 2017
fNIRS Evidence for Recognizably Different Positive Emotions
X Hu, C Zhuang, F Wang, YJ Liu, CH Im, D Zhang
Frontiers in Human Neuroscience, 2019
The availability of wearable-device-based physical data for the measurement of construction workers' psychological status on site: From the perspective of safety management
H Guo, Y Yu, T Xiang, H Li, D Zhang
Automation in Construction 82, 207-217, 2017
Ten challenges for EEG-based affective computing
X Hu, J Chen, F Wang, D Zhang
Brain Science Advances, 2019
Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain‐computer interface
S Zhang, Y Zheng, D Wang, L Wang, J Ma, J Zhang, W Xu, D Li, D Zhang
Neuroscience Letters, 2017
Novel passive ceramic based semi-dry electrodes for recording electroencephalography signals from the hairy scalp
G Li, D Zhang, S Wang, Y Duan
Sensors and Actuators B: Chemical 237, 167-178, 2016
Utilizing retinotopic mapping for a multi-target SSVEP BCI with a single flicker frequency
A Maye, D Zhang, AK Engel
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (7 …, 2017
Novel semi-dry electrodes for brain– computer interface applications
F Wang, G Li, J Chen, Y Duan, D Zhang
Journal of Neural Engineering 13, 2016
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
X Shen, X Liu, X Hu, D Zhang, S Song
IEEE Transactions on Affective Computing, 2023
SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals
G Zhang, M Yu, YJ Liu, G Zhao, D Zhang, W Zheng
IEEE Transactions on Affective Computing, 2023
An algorithm for idle-state detection in motor-imagery-based brain-computer interface
D Zhang, Y Wang, X Gao, B Hong, S Gao
Computational Intelligence and Neuroscience 2007, 2007
Toward a minimally invasive brain–computer interface using a single subdural channel: A visual speller study
D Zhang, H Song, R Xu, W Zhou, Z Ling, B Hong
NeuroImage 71, 30-41, 2013
Application of a single-flicker online SSVEP BCI for spatial navigation
J Chen, D Zhang, AK Engel, Q Gong, A Maye
PLOS ONE, 2017
A multimodal study to measure the cognitive demands of hazard recognition in construction workplaces
PC Liao, X Sun, D Zhang
Safety Science 133, 105010, 2021
Inter-brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging during Video Watching
Y Ding, X Hu, Z Xia, YJ Liu, D Zhang
IEEE Transactions on Affective Computing 12 (1), 92-102, 2021
Mood States and Everyday Creativity: Employing an Experience Sampling Method and a Day Reconstruction Method
W Han, X Feng, M Zhang, K Peng, D Zhang
Frontiers in Psychology 10, 2019
Motor imagery based brain-computer interface: A study of the effect of positive and negative feedback
M González-Franco, P Yuan, D Zhang, B Hong, S Gao
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
What Makes a Champion: The Behavioral and Neural Correlates of Expertise in Multiplayer Online Battle Arena Games
Y Ding, X Hu, J Li, Y Jingbo, F Wang, D Zhang
International Journal of Human-Computer Interaction, 2018
An N200 speller integrating the spatial profile for the detection of the non-control state
D Zhang, H Song, H Xu, W Wu, S Gao, B Hong
Journal of neural engineering 9 (2), 026016, 2012
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