Time Majority Voting, a PC-Based EEG Classifier for Non-expert Users

Using Machine Learning and Deep to predict cognitive tasks from electroencephalography (EEG) signals is a rapidly advancing field in Brain-Computer Interfaces (BCI). In contrast the fields of computer vision natural language processing, data amount these trials still rather tiny. Developing PC-based machine learning technique increase participation non-expert end-users could help solve this collection issue. We created novel algorithm for called Time Majority Voting (TMV). our experiment, TMV performed better than cutting-edge algorithms. It can operate efficiently on personal computers classification involving BCI. These interpretable also assisted researchers comprehending EEG tests better.