在模仿学习任务中对演示格式和演讲者身份进行分类:基于EEG的可解释机器学习

Ivan Gusev1, Ekaterina Karimova1

  • 1Laboratory of Applied Physiology of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS (IHNA&NPh RAS), 5A Butlerova street, Moscow, 117485, the Russian Federation.

PubMed
概括

电脑电图 (EEG) 信号可以区分现场和视频手势演示,贝塔频段活动是关键. 机器学习模型准确地识别了演示格式,并谨慎地识别了个别演讲者.