资 源 简 介
Project was a part of the Brain Computer Interface Competition IV. Successfully achieved an accuracy of 52% on decoding Flexion of Individual Fingers from ECoG Signals. Auto-Regression, Cross Validation and other filtering techniques were used to implement the same. Five frequency features and a time feature were used with different time lags on the signal.
