ScholarWorks@Korea University: Hwang, Han Jeong

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Hwang, Han Jeong (황한정)

Graduate School (Department of Electronics and Information Engineering)

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Tel 044-860-1422
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electroencephalography (EEG):4||Braincomputer interface (BCI):4||braincomputer interface:3||classification:2||electroencephalogram:2||electroencephalography:2||Electroencephalography:2||stroke:2||EEG:2||nearinfrared spectroscopy (NIRS):2||Feature extraction:2||Switches:1||rehabilitation:1||Realtime systems:1||Interaction design:1||Motor hotspot:1||EarEEG:1||dynamic sign language:1||sign language recognition:1||cognitive function:1||Artificial Intelligence (AI):1||Drugnaive:1||biomarkers:1||Restingstate electroencephalography:1||Brain network:1||ear biosignals:1||dynamic binaural beat:1||Wearable device:1||computeraided diagnostic (CAD) system:1||explainable artificial intelligence:1||Task analysis:1||virtual reality:1||hemiplegia:1||neuromodulation:1||eventrelated potential (ERP):1||electromyogram (EMG):1||restingstate functional connectivity:1||neural efficiency:1||User satisfaction:1||ScalpEEG:1||frame extraction:1||motion detection:1||functional cortical networks:1||upper limb:1||Bioelectrical signal:1||Bandpass filters:1||NIRS:1||gazeindependent:1||Adaptation:1||Electromyography:1||theta frequency band:1||darkNet:1||Restingstate EEG:1||Transcranial directcurrent stimulation (tDCS):1||Transcranial direct current stimulation:1||Primary motor cortex:1||Nearinfrared spectroscopy:1||sleep latency:1||Deep learning:1||brainswitch:1||simultaneous EEG recording:1||pattern recognition:1||visual fatigue:1||mathematicians:1||braincomputer interface (BCI):1||posttraumatic stress disorder (PTSD):1||artificial intelligence:1||posttraumatic stress disorder (PSTD):1||Electromagnetic radiation (Xray):1||Classification:1||Power spectral density (PSD):1||sleep:1||Silicone dry electrode:1||major depressive disorder:1||Brain:1||Current limiter:1||information transfer rate:1||rapid serial visual presentation (RSVP):1||expertise:1||support vector machine:1||Machine learning:1||testretest reliability:1||dental care:1||Channel reduction:1||EEG phase synchronization:1||Alpha frequency band:1||Cerebellar brain inhibition:1||electromyography (EMG):1||electrocardiography (ECG):1||heart rate variability:1||Multimodal HCI:1||Braincomputer interface:1||deeplearning:1||onset detection:1||sensor:1||precise brain stimulation:1||motor imagery:1||Training:1||machine learning:1||earEEG:1||machinelearning technique:1||restingstate electroencephalogram (EEG):1||slowfrequency EEG oscillation:1||Machinelearning:1||brain dysfunction:1||electrooculography (EOG):1||Biosignals:1||Electroencephalography (EEG):1||recovery of function:1||neuronal plasticity:1||transcranial direct current stimulation:1||mental arithmetic:1||open access dataset:1||myoelectric signals:1||nonstationarities:1||steady state visual evoked potentials:1||Adaptation models:1||Calibration:1||Kansei engineering:1||Voicebased intelligent system:1||Artificial neuralnetwork:1||Eyestate identification:1||LDA:1||endogenous BCI:1||age estimation:1||Cerebellum:1||humancomputer interface (HCI):1||rereferencing strategy:1||ECG:1||Human–computer interface (HCI):1||brain switch:1||nearinfrared spectroscopy:1||pseudoonline:1||hybrid BCI:1||covariate shift:1||Electrodes:1||Human–AI interaction:1||Transcranial electrical stimulation:1||CNN:1||computeraided diagnosis:1||Female major depressive disorder:1||Humancomputer interface:1||

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