User profiles for Tzyy-Ping Jung
 | Tzyy-Ping JungUniv. of California San Diego, National Tsing Hua Univ., National Yang Ming Chiao Tung … Verified email at ucsd.edu Cited by 44312 |
Removing electroencephalographic artifacts by blind source separation
Eye movements, eye blinks, cardiac signals, muscle noise, and line noise present serious
problems for electroencephalographic (EEG) interpretation and analysis when rejecting …
problems for electroencephalographic (EEG) interpretation and analysis when rejecting …
EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning …
with the environment. Recent advancements in technology and machine learning …
Linking brain, mind and behavior
Cortical brain areas and dynamics evolved to organize motor behavior in our three-dimensional
environment also support more general human cognitive processes. Yet traditional …
environment also support more general human cognitive processes. Yet traditional …
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface
Objective. Recently, canonical correlation analysis (CCA) has been widely used in steady-state
visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its high …
visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its high …
EEG-based emotion recognition in music listening
Ongoing brain activity can be recorded as electroen-cephalograph (EEG) to discover the
links between emotional states and brain activity. This study applied machine-learning …
links between emotional states and brain activity. This study applied machine-learning …
EEG-based drowsiness estimation for safety driving using independent component analysis
Preventing accidents caused by drowsiness has become a major focus of active safety driving
in recent years. It requires an optimal technique to continuously detect drivers' cognitive …
in recent years. It requires an optimal technique to continuously detect drivers' cognitive …
Dry-contact and noncontact biopotential electrodes: Methodological review
… Tzyy-Ping Jung received the BS degree in electronics engineering from National Chiao-Tung
University, Taiwan, ROC, in 1984 and the MS and Ph.D. degrees in electrical engineering …
University, Taiwan, ROC, in 1984 and the MS and Ph.D. degrees in electrical engineering …
Cognition in action: imaging brain/body dynamics in mobile humans
We have recently developed a mobile brain imaging method (MoBI), that allows for simultaneous
recording of brain and body dynamics of humans actively behaving in and interacting …
recording of brain and body dynamics of humans actively behaving in and interacting …
Independent component analysis of electroencephalographic data
Because of the distance between the skull and brain and their differ (cid: 173) ent resistivities,
electroencephalographic (EEG) data collected from any point on the human scalp includes …
electroencephalographic (EEG) data collected from any point on the human scalp includes …
Analysis of fMRI data by blind separation into independent spatial components
Current analytical techniques applied to functional magnetic resonance imaging (fMRI) data
require a priori knowledge or specific assumptions about the time courses of processes …
require a priori knowledge or specific assumptions about the time courses of processes …