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Mental fatigue level detection based on event related and visual evoked potentials features fusion in virtual indoor environment

机译:基于事件相关和视觉诱发电位的心理疲劳水平检测在虚拟室内环境中融合特征

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摘要

BCI is very flexible and can be associated with many other modalities. Consequently, new terminologies are introduced such as “hybrid-BCI” which is the acquisition of EEG data combined with physiological signals such as Electromyography (EMG), Electrocardiography (ECG)…(Liberati et al. ) to overcome the shortages of individual acquisitions and build more robust classifiers. Another field associates the user’s affective states with BCI schemes. This is termed as “emotional-BCI” where affective adaptation is suggested either in the input level to interpret and adapt the user’s current state or in higher levels to predict future actions (Molina et al. ).
机译:BCI非常灵活,可以与许多其他方式关联。因此,引入了新的术语,例如“ Hybrid-BCI”(混合BCI),它是结合诸如肌电图(EMG),心电图(ECG)等生理信号的EEG数据采集,从而克服了个别采集和采集的不足。构建更强大的分类器。另一个字段将用户的情感状态与BCI方案相关联。这被称为“情感BCI”,其中建议在输入级别上进行情感适应,以解释和适应用户的当前状态,或者在更高级别上建议进行情感预测(Molina等人)。

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