EMF
BCI MI framework to classifiy brain signals using a multimodal decission making phase, with an addtional differentiation of the signal.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Classification of examples recorded under the Motor Imagery paradigm, as part of Brain-Computer Interfaces (BCI).
A number of motor imagery datasets can be downloaded using the MOABB library: motor imagery datasets list
관련 논문에서 소개한 기법입니다. 이 태스크에서의 평가 여부는 평가 결과에서 확인하세요.
BCI MI framework to classifiy brain signals using a multimodal decission making phase, with an addtional differentiation of the signal.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
The Enhanced Fusion Framework proposes three different ideas to improve the existing MI-based BCI frameworks. Image source: Fumanal-Idocin et al.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.