3 papers
cs.HC2023
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers
Nathan Koome Murungi, Michael Vinh Pham, Xufeng Dai +1
This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning. Our focus is on Electroencephalography (EEG) research, hi…
cs.DB2022
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students
Zheng Zhou, Guangyao Dou, Xiaodong Qu
Using Machine Learning and Deep Learning to predict cognitive tasks from electroencephalography (EEG) signals has been a fast-developing area in Brain-Computer Interfaces (BCI). Ho…
cs.LG2022
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Guangyao Dou, Zheng Zhou, Xiaodong Qu
Using Machine Learning and Deep Learning to predict cognitive tasks from electroencephalography (EEG) signals is a rapidly advancing field in Brain-Computer Interfaces (BCI). In co…