Apparatus and Method for Motor Imagery Classification Utilizing EEG

Apparatus and Method for Real-time Classification of EEG-based Motor Imagery

This technology describes an apparatus and method for classifying user intent by real-time extraction of features from different domains within EEG signals generated during motor imagery.

EEG signals have large individual variability and noise, which has made it challenging to accurately classify motor imagery intent in real-time.

This technology precisely classifies a user's motor imagery intent by real-time extraction and utilization of multi-domain features from EEG signals, enabling its application in various fields such as brain-computer interfaces.

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Key Features:

• Acquisition of EEG signals generated during motor imagery
• Real-time extraction of features from different domain areas
• Classification of user intent using extracted features
• Applicable to Brain-Computer Interface (BCI) applications