A Dynamic Stopping Method for Improving Performance of Steady-State Visual Evoked Potential based Brain-Computer Interfaces
Nakanishi, Masaki ; Wang, Yijun ; Wang, Yu-Te ; Jung, Tzyy-Ping
Brain-computer/machine interface
The performance of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) has been drastically improved in the…
Developing an Online Steady-State Visual Evoked Potential-Based Brain-Computer Interface System using EarEEG
Wang, Yu-Te ; Nakanishi, Masaki ; Lind Kappel, Simon ; Kidmose, Preben ; Mandic, Danilo ; Wang, Yijun ; Cheng, Chung-Kuan ; Jung, Tzyy-Ping
The purpose of this study is to demonstrate an online steady-state visual evoked potential (SSVEP)-based BCI system using EarEEG. EarEEG is…
Estimating Direction and Depth of Visual Fixation using Electrooculography
Stevenson, Cory ; Jung, Tzyy-Ping ; Cauwenberghs, Gert
Physiological monitoring
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Bioelectric sensing methods
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Biolelectric sensors and sensor systems
Eye tracking is a useful method of human-computer interaction and of interest to scientific studies on cognition. An electrooculogram (EOG),…
Real-Time EEG Source-Mapping Toolbox (REST): Online ICA and Source Localization
Pion-Tonachini, Luca ; Hsu, Sheng-Hsiou ; Makeig, Scott ; Jung, Tzyy-Ping ; Cauwenberghs, Gert
Independent component analysis
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Nonstationary processing of biomedical signals
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Signal processing in physiological systems
The Electroencephalogram (EEG) is a noninvasive functional brain activity recording method that shows promise for becoming a 3-D cortical…
Toward Non-Hair-Bearing Brain-Computer Interfaces for Neurocognitive Lapse Detection
Wei, Chun-Shu ; Wang, Yu-Te ; Lin, Chin-Teng ; Jung, Tzyy-Ping
Brain-computer/machine interface
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Human performance – Fatigue
Recent advances in mobile electroencephalogram (EEG) acquisition based on dry electrodes have started moving Brain-Computer Interface (BCI)…
Tracking Non-Stationary EEG Sources using Adaptive Online Recursive Independent Component Analysis
Hsu, Sheng-Hsiou ; Pion-Tonachini, Luca ; Jung, Tzyy-Ping ; Cauwenberghs, Gert
Independent component analysis
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Nonstationary processing of biomedical signals
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Adaptive filtering
Electroencephalographic (EEG) source-level analyses such as independent component analysis (ICA) have uncovered features related to human…
Using Robust Principal Component Analysis to Alleviate Day-to-Day Variability in EEG based Emotion Classification
Jao, Ping-Keng ; Lin, Yuan-Pin ; Yang, Yi-Hsuan ; Jung, Tzyy-Ping
Biomedical signal classification
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Pattern recognition methods for data mining in biosignals
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Principal component analysis
An emerging challenge for emotion classification using electroencephalography (EEG) is how to effectively alleviate day-to-day variability in…
