A novel RSVP-based system using EEG and eye-movement for classification and localization
The rapid serial visual presentation (RSVP) paradigm has been widely adopted to help
professionals distinguish target images more efficiently in brain-computer interface (BCI) …
professionals distinguish target images more efficiently in brain-computer interface (BCI) …
Enhancing RSVP target recognition performance by multi-features extracted from EEG source localization and multi-granular information neural networks
The brain-computer interface (BCI) based on rapid serial visual presentation (RSVP)
exhibits enhanced accuracy in target recognition in the complex environments by effectively …
exhibits enhanced accuracy in target recognition in the complex environments by effectively …
Toward early abnormalities detection on digestive system: Multi-features electrogastrogram (EGG) signal classification based on machine learning
Electrogastrogram (EGG) is one of the bio-signals that can be developed as a tool for early
detection of digestive abnormalities. The use of features extraction and machine learning …
detection of digestive abnormalities. The use of features extraction and machine learning …
基于ERP 信号的目标检测研究综述.
李子杏， 兰珍， 唐邓清， 闫超… - Journal of Computer …, 2021 - search.ebscohost.com
目标检测技术应用广泛, 现有的基于计算机视觉的目标检测方法由于目标遮挡,
光照强弱等因素难以适应复杂场景的需求. 而人脑的高级认知能力和快速感知能力在处理复杂 …
光照强弱等因素难以适应复杂场景的需求. 而人脑的高级认知能力和快速感知能力在处理复杂 …