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ORCIDTzyy-Ping Jung
Person information
- affiliation: University of California, San Diego, CA, USA
- affiliation: Ohio State University, Columbus, OH, USA
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2020 – today
- 2022
[j62]Sheng-Hsiou Hsu, Yayu Lin, Julie Onton, Tzyy-Ping Jung, Scott Makeig:
Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG. NeuroImage 249: 118873 (2022)- [j61]Siddharth
, Tzyy-Ping Jung, Terrence J. Sejnowski:
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing. IEEE Trans. Affect. Comput. 13(1): 96-107 (2022) - [j60]Mauro Nascimben, Yu-Kai Wang, Jung-Tai King, Tzyy-Ping Jung, Jonathan Touryan, Brent J. Lance, Chin-Teng Lin:
Alpha Correlates of Practice During Mental Preparation for Motor Imagery. IEEE Trans. Cogn. Dev. Syst. 14(1): 146-155 (2022) - 2021
- [j59]Chun-Shu Wei, Corey J. Keller, Junhua Li, Yuan-Pin Lin, Masaki Nakanishi, Johanna Wagner, Wei Wu, Yu Zhang, Tzyy-Ping Jung:
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. Frontiers Comput. Neurosci. 15: 791129 (2021) - [j58]Chi Man Wong, Ze Wang, Agostinho C. Rosa, C. L. Philip Chen, Tzyy-Ping Jung, Yong Hu, Feng Wan:
Transferring Subject-Specific Knowledge Across Stimulus Frequencies in SSVEP-Based BCIs. IEEE Trans Autom. Sci. Eng. 18(2): 552-563 (2021) - [j57]Lan-Da Van, You-Cheng Tu, Chi-Yuan Chang, Hsiang-Jen Wang, Tzyy-Ping Jung:
Hardware-Oriented Memory-Limited Online Artifact Subspace Reconstruction (HMO-ASR) Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 68(12): 3493-3497 (2021) - [j56]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1645-1666 (2021) - [j55]Poyuan Jeng, Chun-Shu Wei, Tzyy-Ping Jung, Li-Chun Wang:
Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding. IEEE J. Biomed. Health Informatics 25(6): 1915-1925 (2021) - [j54]Dong Wen, Bingbing Liang, Yanhong Zhou, Hongqian Chen, Tzyy-Ping Jung:
The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality. IEEE J. Biomed. Health Informatics 25(9): 3278-3287 (2021) - [c107]Lichao Xu, Zhen Ma, Jiayuan Meng, Minpeng Xu, Tzyy-Ping Jung, Dong Ming:
Improving Transfer Performance of Deep Learning with Adaptive Batch Normalization for Brain-computer Interfaces*. EMBC 2021: 5800-5803 - [c106]Aashish N. Patel, Geeling Chau, Cheng Chang, Allan Sun, Jingya Huang, Tzyy-Ping Jung, Vikash Gilja:
Affective response to volitional input perturbations in obstacle avoidance and target tracking games. EMBC 2021: 6679-6682 - [c105]Daniel H. Lee, Tzyy-Ping Jung:
Physiological Correlates of Time Stress During Game Play. HCI (37) 2021: 119-126 - [c104]Lan-Da Van, Tao-Jung Wang, Sing-Jia Tzeng, Tzyy-Ping Jung:
A Computation-Aware TPL Utilization Procedure for Parallelizing the FastICA Algorithm on a Multi-Core CPU. MCSoC 2021: 171-177 - [c103]Chuyang Xiao, Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung:
A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials. NER 2021: 698-701 - [i18]Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning. CoRR abs/2102.05194 (2021) - [i17]Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Tzyy-Ping Jung:
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal. CoRR abs/2111.10026 (2021) - 2020
- [j53]Haifeng Li, Shang Feng, Lin Ma, Zhongliang Xu, Ruifeng Xu, Tzyy-Ping Jung:
Common Cross-Spectral Patterns of Electroencephalography for Reliable Cognitive Task Identification. IEEE Access 8: 17652-17662 (2020) - [j52]Jiabei Tang, Minpeng Xu, Zheng Liu, Jingjuan Qiao, Shuang Liu, Shanguang Chen, Tzyy-Ping Jung, Dong Ming:
A Brain-Computer Interface Based on Multifocal SSVEPs Detected by Inter-Task-Related Component Analysis. IEEE Access 8: 138539-138550 (2020) - [j51]Masaki Nakanishi, Yu-Te Wang, Chun-Shu Wei, Kuan-Jung Chiang, Tzyy-Ping Jung:
Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses. IEEE Trans. Biomed. Eng. 67(4): 1105-1113 (2020) - [j50]Chi-Yuan Chang, Sheng-Hsiou Hsu, Luca Pion-Tonachini, Tzyy-Ping Jung:
Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings. IEEE Trans. Biomed. Eng. 67(4): 1114-1121 (2020) - [j49]Xiaolin Xiao, Minpeng Xu, Jing Jin, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
Discriminative Canonical Pattern Matching for Single-Trial Classification of ERP Components. IEEE Trans. Biomed. Eng. 67(8): 2266-2275 (2020) - [j48]Jing Jin, Zongmei Chen, Ren Xu, Yangyang Miao, Xingyu Wang, Tzyy-Ping Jung:
Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm. IEEE Trans. Biomed. Eng. 67(9): 2585-2593 (2020) - [j47]Minpeng Xu, Jin Han, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
Implementing Over 100 Command Codes for a High-Speed Hybrid Brain-Computer Interface Using Concurrent P300 and SSVEP Features. IEEE Trans. Biomed. Eng. 67(11): 3073-3082 (2020) - [c102]Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung:
Statistically Optimized Spatial Filtering in Decoding Steady-State Visual Evoked Potentials Based on Task-Related Component Analysis. EMBC 2020: 3070-3073 - [c101]Liang Yue, Xiaolin Xiao, Minpeng Xu, Long Chen, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
A brain-computer interface based on high-frequency steady-state asymmetric visual evoked potentials*. EMBC 2020: 3090-3093 - [c100]Lijie Wang, Minpeng Xu, Jie Mei, Jin Han, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
Enhancing performance of SSVEP-based BCI by unsupervised learning information from test trials*. EMBC 2020: 3359-3362 - [c99]Jin Han, Minpeng Xu, Yijun Wang, Jiabei Tang, Miao Liu, Xingwei An, Tzyy-Ping Jung, Dong Ming:
'Write' but not 'spell' Chinese characters with a BCI-controlled robot*. EMBC 2020: 4741-4744 - [c98]Jie Mei, Minpeng Xu, Lijie Wang, Yufeng Ke, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
Using SSVEP-BCI to Continuous Control a Quadcopter with 4-DOF Motions*. EMBC 2020: 4745-4748 - [c97]Tzi-Dong Jeremy Ng, Weichen Liu, Xiao Hu, Tzyy-Ping Jung:
Evaluation of Low-end Virtual Reality Content of Cultural Heritage: A Preliminary Study with Eye Movement. JCDL 2020: 365-368 - [c96]Shihan Ran, Sheng-Hsiou Hsu, Tzyy-Ping Jung:
Examining the Relationship between EEG Dynamics and Emotion Ratings during Video Watching using Adaptive Mixture Independent Component Analysis. SMC 2020: 1491-1497 - [i16]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications. CoRR abs/2001.11337 (2020) - [i15]Xiao Zhang, Dongrui Wu, Lieyun Ding, Hanbin Luo, Chin-Teng Lin, Tzyy-Ping Jung:
Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything. CoRR abs/2001.11569 (2020) - [i14]Daniel H. Lee, Tzyy-Ping Jung:
A Virtual Reality Game as a Tool to Assess Physiological Correlations of Stress. CoRR abs/2009.14421 (2020) - [i13]Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu:
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks. CoRR abs/2011.00101 (2020)
2010 – 2019
- 2019
- [j46]Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications. IEEE Trans. Biomed. Eng. 66(4): 1137-1147 (2019) - [c95]Julia Adrian, Siddharth, Zain Baquar, Tzyy-Ping Jung, Gedeon O. Deák:
Decision-Making in a Social Multi-Armed Bandit Task: Behavior, Electrophysiology and Pupillometry. CogSci 2019: 1311-1317 - [c94]Xiaolin Xiao, Minpeng Xu, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
A comparison of classification methods for recognizing single-trial P300 in brain-computer interfaces. EMBC 2019: 3032-3035 - [c93]Minpeng Xu, Xiaoyu Zhou, Xiaolin Xiao, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
Effects of stimulus position on the classification of miniature asymmetric VEPs for brain-computer interfaces. EMBC 2019: 5956-5959 - [c92]Lan-Da Van, Tsung-Che Lu, Tzyy-Ping Jung, Jo-Fu Wang:
Hardware-oriented Memory-limited Online Fastica Algorithm and Hardware Architecture for Signal Separation. ICASSP 2019: 1438-1442 - [c91]Lubin Meng, Chin-Teng Lin, Tzyy-Ping Jung, Dongrui Wu:
White-Box Target Attack for EEG-Based BCI Regression Problems. ICONIP (1) 2019: 476-488 - [c90]Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. NER 2019: 424-427 - [c89]Ting Yu, Chun-Shu Wei, Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung:
EEG-Based User Authentication Using a Convolutional Neural Network. NER 2019: 1011-1014 - [c88]Tapsya Nayak, Li-Wei Ko, Tzyy-Ping Jung, Yufei Huang:
Target Classification in a Novel SSVEP-RSVP Based BCI Gaming System. SMC 2019: 4194-4198 - [i12]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing. CoRR abs/1905.07039 (2019) - [i11]Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang:
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. CoRR abs/1911.04379 (2019) - [i10]Lubin Meng, Chin-Teng Lin, Tzyy-Ping Jung, Dongrui Wu:
White-Box Target Attack for EEG-Based BCI Regression Problems. CoRR abs/1911.04606 (2019) - 2018
- [j45]Li-Yu Huang, Hsiao-Ching She, Tzyy-Ping Jung:
Neural Oscillation Correlates Chemistry Decision-Making. Int. J. Neural Syst. 28(3): 1750031:1-1750031:18 (2018) - [j44]Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung:
A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection. NeuroImage 174: 407-419 (2018) - [j43]Sheng-Hsiou Hsu, Luca Pion-Tonachini, Jason A. Palmer, Makoto Miyakoshi, Scott Makeig, Tzyy-Ping Jung:
Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage 183: 47-61 (2018) - [j42]Masaki Nakanishi, Yijun Wang, Xiaogang Chen, Yu-Te Wang, Xiaorong Gao, Tzyy-Ping Jung:
Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis. IEEE Trans. Biomed. Eng. 65(1): 104-112 (2018) - [j41]Minpeng Xu, Xiaolin Xiao, Yijun Wang, Hongzhi Qi, Tzyy-Ping Jung, Dong Ming:
A Brain-Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli. IEEE Trans. Biomed. Eng. 65(5): 1166-1175 (2018) - [j40]Dongrui Wu, Jung-Tai King, Chun-Hsiang Chuang, Chin-Teng Lin, Tzyy-Ping Jung:
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI). IEEE Trans. Fuzzy Syst. 26(2): 771-781 (2018) - [c87]Sheng-Hsiou Hsu, Yihan Zi, Ying Choon Wu, Paula Marie Jackson, Tzyy-Ping Jung:
Exploring Mental State Changes during Hypnotherapy using Adaptive Mixture Independent Component Analysis of EEG. BioCAS 2018: 1-4 - [c86]Masaki Nakanishi, Yu-Te Wang, Tzyy-Ping Jung:
Transferring Shared Responses Across Electrode Montages for Facilitating Calibration in High-Speed Brain Spellers. EMBC 2018: 89-92 - [c85]Luca Pion-Tonachini, Sheng-Hsiou Hsu, Chi-Yuan Chang, Tzyy-Ping Jung, Scott Makeig:
Online Automatic Artifact Rejection using the Real-time EEG Source-mapping Toolbox (REST). EMBC 2018: 106-109 - [c84]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Multi-modal Approach for Affective Computing. EMBC 2018: 291-294 - [c83]Chi-Yuan Chang, Sheng-Hsiou Hsu, Luca Pion-Tonachini, Tzyy-Ping Jung:
Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal. EMBC 2018: 1242-1245 - [c82]Chun-Shu Wei, Masaki Nakanishi, Kuan-Jung Chiang, Tzyy-Ping Jung:
Exploring Human Variability in Steady-State Visual Evoked Potentials. SMC 2018: 474-479 - [c81]Masaki Nakanishi, Yu-Te Wang, Tzyy-Ping Jung:
Optimizing Phase Intervals for Phase-Coded SSVEP-Based BCIs With Template-Based Algorithm. SMC 2018: 650-655 - [i9]Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. CoRR abs/1802.07852 (2018) - [i8]Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Multi-modal Approach for Affective Computing. CoRR abs/1804.09452 (2018) - [i7]Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface. CoRR abs/1810.02842 (2018) - 2017
- [j39]Yi-Hung Liu, Tzyy-Ping Jung, Chin-Teng Lin, Lun-De Liao:
Editorial Message: Special Issue on Fuzzy Brain-Computer Interface Systems. Int. J. Fuzzy Syst. 19(2): 528 (2017) - [j38]Ramesh Rajagopalan, Irene Litvan, Tzyy-Ping Jung:
Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions. Sensors 17(11): 2509 (2017) - [c80]Masaki Nakanishi, Yijun Wang, Sheng-Hsiou Hsu, Yu-Te Wang, Tzyy-Ping Jung:
Independent component analysis-based spatial filtering improves template-based SSVEP detection. EMBC 2017: 3620-3623 - [c79]Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. HCI (14) 2017: 399-409 - [c78]Masaki Nakanishi, Yijun Wang, Yu-Te Wang, Tzyy-Ping Jung:
Does frequency resolution affect the classification performance of steady-state visual evoked potentials? NER 2017: 341-344 - [i6]Dongrui Wu, Jung-Tai King, Chun-Hsiang Chuang, Chin-Teng Lin, Tzyy-Ping Jung:
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI). CoRR abs/1702.02914 (2017) - [i5]Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR abs/1704.08533 (2017) - 2016
- [j37]Kuan-Chih Huang, Teng-Yi Huang, Chun-Hsiang Chuang, Jung-Tai King, Yu-Kai Wang, Chin-Teng Lin, Tzyy-Ping Jung:
An EEG-Based Fatigue Detection and Mitigation System. Int. J. Neural Syst. 26(4): 1650018:1-1650018:14 (2016) - [j36]Mehdi Hajinoroozi, Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
EEG-based prediction of driver's cognitive performance by deep convolutional neural network. Signal Process. Image Commun. 47: 549-555 (2016) - [j35]Junhua Li, Yijun Wang, Liqing Zhang, Andrzej Cichocki, Tzyy-Ping Jung:
Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks. IEEE Trans. Cogn. Dev. Syst. 8(4): 298-308 (2016) - [c77]Ying Choon Wu, Jeffery Wang, Andrew Tran, Alex Schperberg, John Caldwell, Tzyy-Ping Jung, Po-Chih Kuo:
MoBI-Box: A next generation Mobile Brain-Body Imaging Platform. CogSIMA 2016: 93-96 - [c76]Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung:
Transfer learning with large-scale data in brain-computer interfaces. EMBC 2016: 4666-4669 - [c75]Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Predicting EEG Sample Size Required for Classification Calibration. HCI (13) 2016: 57-68 - [c74]Chun-Shu Wei, Yuan-Pin Lin, Tzyy-Ping Jung:
Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis. HCI (13) 2016: 113-120 - [c73]John K. Zao, Tzyy-Ping Jung, Hung-Ming Chang, Tchin Tze Gan, Yu-Te Wang, Yuan-Pin Lin, Wen-Hao Liu, Guang-Yu Zheng, Chin-Kuo Lin, Chia-Hung Lin, Yu-Yi Chien, Fang-Cheng Lin, Yi-Pai Huang, Sergio Jose Rodriguez Mendez, Felipe A. Medeiros:
Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling. HCI (13) 2016: 121-131 - [c72]Sheng-Hsiou Hsu, Tzyy-Ping Jung:
Modeling and Tracking Brain Nonstationarity in a Sustained Attention Task. HCI (13) 2016: 209-217 - [c71]Masaki Nakanishi, Yijun Wang, Tzyy-Ping Jung:
Session-to-Session Transfer in Detecting Steady-State Visual Evoked Potentials with Individual Training Data. HCI (13) 2016: 253-260 - 2015
- [j34]Chun-Ling Lin, Melody Jung, Ying Choon Wu, Hsiao-Ching She, Tzyy-Ping Jung:
Neural Correlates of Mathematical Problem Solving. Int. J. Neural Syst. 25(2): 1550004:1-1550004:17 (2015) - [j33]Siamak Yousefi, Michael H. Goldbaum, Ehsan Shahrian Varnousfaderani, Akram Belghith, Tzyy-Ping Jung, Felipe A. Medeiros, Linda M. Zangwill, Robert N. Weinreb, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd:
Detecting glaucomatous change in visual fields: Analysis with an optimization framework. J. Biomed. Informatics 58: 96-103 (2015) - [j32]Tim R. Mullen, Christian Andreas Kothe, Yu Mike Chi, Alejandro Ojeda, Trevor Kerth, Scott Makeig, Tzyy-Ping Jung, Gert Cauwenberghs:
Real-Time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG. IEEE Trans. Biomed. Eng. 62(11): 2553-2567 (2015) - [c70]Mehdi Hajinoroozi, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Feature extraction with deep belief networks for driver's cognitive states prediction from EEG data. ChinaSIP 2015: 812-815 - [c69]Ping-Keng Jao, Yuan-Pin Lin, Yi-Hsuan Yang, Tzyy-Ping Jung:
Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classification. EMBC 2015: 570-573 - [c68]Cory Stevenson, Tzyy-Ping Jung, Gert Cauwenberghs:
Estimating direction and depth of visual fixation using electrooculography. EMBC 2015: 841-844 - [c67]Masaki Nakanishi, Yijun Wang, Yu-Te Wang, Tzyy-Ping Jung:
A dynamic stopping method for improving performance of steady-state visual evoked potential based brain-computer interfaces. EMBC 2015: 1057-1060 - [c66]Yu-Te Wang, Masaki Nakanishi, Simon Lind Kappel, Preben Kidmose, Danilo P. Mandic, Yijun Wang, Chung-Kuan Cheng, Tzyy-Ping Jung:
Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG. EMBC 2015: 2271-2274 - [c65]Sheng-Hsiou Hsu, Luca Pion-Tonachini, Tzyy-Ping Jung, Gert Cauwenberghs:
Tracking non-stationary EEG sources using adaptive online recursive independent component analysis. EMBC 2015: 4106-4109 - [c64]Luca Pion-Tonachini, Sheng-Hsiou Hsu, Scott Makeig, Tzyy-Ping Jung, Gert Cauwenberghs:
Real-time EEG Source-mapping Toolbox (REST): Online ICA and source localization. EMBC 2015: 4114-4117 - [c63]Chun-Shu Wei, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung:
Toward non-hair-bearing brain-computer interfaces for neurocognitive lapse detection. EMBC 2015: 6638-6641 - [c62]Tracy Jill Doty, Bret Kellihan, Tzyy-Ping Jung, John K. Zao, Irene Litvan:
The Wearable Multimodal Monitoring System: A Platform to Study Falls and Near-Falls in the Real-World. HCI (26) 2015: 412-422 - [c61]Yuan-Pin Lin, Sheng-Hsiou Hsu, Tzyy-Ping Jung:
Exploring Day-to-Day Variability in the Relations Between Emotion and EEG Signals. HCI (15) 2015: 461-469 - [c60]Sheng-Hsiou Hsu, Tim R. Mullen, Tzyy-Ping Jung, Gert Cauwenberghs:
Validating online recursive independent component analysis on EEG data. NER 2015: 918-921 - [c59]Jingyi Song, Chun-Shu Wei, Tzyy-Ping Jung, Yikai Wang:
Monitoring and Analysis of Multiplicative Characteristic Variations for Adhesive Electrode by Using Self-Electrocardiogram Signals. SMC 2015: 761-764 - [c58]Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Nima Bigdely Shamlo, Chin-Teng Lin:
Selective Transfer Learning for EEG-Based Drowsiness Detection. SMC 2015: 3229-3232 - 2014
- [j31]Sheng-Chang Chen, Hsiao-Ching She, Ming-Hua Chuang, Jiun-Yu Wu, Jie-Li Tsai, Tzyy-Ping Jung:
Eye movements predict students' computer-based assessment performance of physics concepts in different presentation modalities. Comput. Educ. 74: 61-72 (2014) - [j30]Masaki Nakanishi, Yijun Wang, Yu-Te Wang, Yasue Mitsukura, Tzyy-Ping Jung:
A High-Speed Brain Speller using steady-State Visual evoked potentials. Int. J. Neural Syst. 24(6) (2014) - [j29]Arthur C. Tsai, Tzyy-Ping Jung, Vincent S. C. Chien, Alexander N. Savostyanov, Scott Makeig:
Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging. NeuroImage 87: 297-310 (2014) - [j28]Chun-Hsiang Chuang, Li-Wei Ko, Tzyy-Ping Jung, Chin-Teng Lin:
Kinesthesia in a sustained-attention driving task. NeuroImage 91: 187-202 (2014) - [j27]Siamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Tzyy-Ping Jung, Robert N. Weinreb, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd:
Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points. IEEE Trans. Biomed. Eng. 61(4): 1143-1154 (2014) - [c57]Yijun Wang, Masaki Nakanishi, Yu-Te Wang, Tzyy-Ping Jung:
Enhancing detection of steady-state visual evoked potentials using individual training data. EMBC 2014: 3037-3040 - [c56]Masaki Nakanishi, Yijun Wang, Yu-Te Wang, Yasue Mitsukura, Tzyy-Ping Jung:
Enhancing unsupervised canonical correlation analysis-based frequency detection of SSVEPs by incorporating background EEG. EMBC 2014: 3053-3056 - [c55]Sheng-Hsiou Hsu, Tim R. Mullen, Tzyy-Ping Jung, Gert Cauwenberghs:
Online recursive independent component analysis for real-time source separation of high-density EEG. EMBC 2014: 3845-3848 - [c54]Wai-Chi Fang, Kuan-Ju Huang, Chia-Ching Chou, Jui-Chung Chang, Gert Cauwenberghs, Tzyy-Ping Jung:
An efficient ASIC implementation of 16-channel on-line recursive ICA processor for real-time EEG system. EMBC 2014: 3849-3852 - [c53]Xiaogang Chen, Yijun Wang, Masaki Nakanishi, Tzyy-Ping Jung, Xiaorong Gao:
Hybrid frequency and phase coding for a high-speed SSVEP-based BCI speller. EMBC 2014: 3993-3996 - [c52]Ying Choon Wu, Melody Jung, Derrick Lock, Eric Chao, Jerome Swartz, Tzyy-Ping Jung:
Resting state and task-related brain dynamics supporting insight. EMBC 2014: 5454-5457 - [c51]John K. Zao, Tchin Tze Gan, Chun Kai You, Sergio Jose Rodriguez Mendez, Cheng En Chung, Yu-Te Wang, Tim R. Mullen, Tzyy-Ping Jung:
Augmented Brain Computer Interaction Based on Fog Computing and Linked Data. Intelligent Environments 2014: 374-377 - [c50]Yuan-Pin Lin, Tzyy-Ping Jung:
Exploring day-to-day variability in EEG-based emotion classification. SMC 2014: 2226-2229 - [i4]Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Zhouyue Pi, Bhaskar D. Rao:
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals. CoRR