Zobrazeno 1 - 10
of 724
pro vyhledávání: '"Jung, Tzyy-Ping"'
Objective: To investigate the effects of different approaches to EEG preprocessing, channel montage selection, and model architecture on the performance of an online-capable stress detection algorithm in a classroom scenario. Methods: This analysis u
Externí odkaz:
http://arxiv.org/abs/2405.11394
Reading comprehension, a fundamental cognitive ability essential for knowledge acquisition, is a complex skill, with a notable number of learners lacking proficiency in this domain. This study introduces innovative tasks for Brain-Computer Interface
Externí odkaz:
http://arxiv.org/abs/2401.15681
Autor:
Zhang, Yuhong, Li, Qin, Nahata, Sujal, Jamal, Tasnia, Cheng, Shih-kuen, Cauwenberghs, Gert, Jung, Tzyy-Ping
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine comprehension of semantic language meaning. This shift calls for inter
Externí odkaz:
http://arxiv.org/abs/2309.15714
Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states. This study
Externí odkaz:
http://arxiv.org/abs/2305.08044
Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative to develop a practical and reliable artifact removal method to prevent misinterpretations of neural signals and underperformance of brain-computer interfaces
Externí odkaz:
http://arxiv.org/abs/2111.10026
Autor:
Liu, Xucheng, Wang, Ze, Liu, Shun, Gong, Lianggeng, Sosa, Pedro A. Valdes, Becker, Benjamin, Jung, Tzyy-Ping, Dai, Xi-jian, Wan, Feng
Publikováno v:
In NeuroImage January 2024 285
Objective: This study aims to establish a generalized transfer-learning framework for boosting the performance of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) by leveraging cross-domain data transferring. Approa
Externí odkaz:
http://arxiv.org/abs/2102.05194
Autor:
Meng, Lubin, Huang, Jian, Zeng, Zhigang, Jiang, Xue, Yu, Shan, Jung, Tzyy-Ping, Lin, Chin-Teng, Chavarriaga, Ricardo, Wu, Dongrui
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adoption of sophisticated machine learning approaches for decoding the EEG s
Externí odkaz:
http://arxiv.org/abs/2011.00101
Autor:
Lee, Daniel H., Jung, Tzyy-Ping
The objective of this study is to develop and use a virtual reality game as a tool to assess the effects of realistic stress on the behavioral and physiological responses of participants. The game is based on a popular Steam game called Keep Talking
Externí odkaz:
http://arxiv.org/abs/2009.14421
Autor:
Zhang, Xiao, Wu, Dongrui, Ding, Lieyun, Luo, Hanbin, Lin, Chin-Teng, Jung, Tzyy-Ping, Chavarriaga, Ricardo
Publikováno v:
National Science Review, 8(4), 2021
An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no oth
Externí odkaz:
http://arxiv.org/abs/2001.11569