首页|Studies from Jiangxi Agricultural University Further Understanding of Machine Le arning (Improved motor imagery training for subject's self-modulation in EEG-bas ed brain-computer interface)
Studies from Jiangxi Agricultural University Further Understanding of Machine Le arning (Improved motor imagery training for subject's self-modulation in EEG-bas ed brain-computer interface)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting out of Nanchang, People's Rep ublic of China, by NewsRx editors, research stated, "For the electroencephalogra m- (EEG-) based motor imagery (MI) brain-computer interface (BCI) system, more attention has been paid to the advanced machine learning algorithms rather than t he effective MI training protocols over past two decades. However, it is crucial to assist the subjects in modulating their active brains to fulfill the endogen ous MI tasks during the calibration process, which will facilitate signal proces sing using various machine learning algorithms." Funders for this research include National Natural Science Foundation of China; Natural Science Foundation of Jiangxi Province.
Jiangxi Agricultural UniversityNanchan gPeople's Republic of ChinaAsiaComputersCyborgsEmerging TechnologiesMachine Learning
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