Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: P300 speller is a traditional brain computer interface paradigm and focused by lots of current BCI researches.  a support vector machine based recursive feature elimination method was adapted to select the optimal channels for character recognition. The margin distance beten target and nontarget stimulus in feature space was evaluated by training SVM classifier and then the features from single channel re eliminated one by one, eventually, channel set provided best recognition performance was left as the optimal set. The results shod that using optimal channel set would achieve a higher recognition correct ratio compared with no channel eliminating. Furthermore the optimal features localized on parietal and occipital areas, on which not only P300 components but VEP components also present a high amplitude waveform. It may suggest that row/column intensification in speller matrix arouses a visual evoked potential and contributes a lot to character identification as ll as P300.
['Hongzhi Qi', 'Minpeng Xu', 'Wen Li', 'Ding Yuan', 'Weixi Zhu', 'Xingwei An', 'Dong Ming', 'Baikun Wan', 'Weijie Wang']
I am writing a research paper on a idea Feature selection study of P300 speller using support vector machine
[{"from": "human", "value": "I am writing a research paper on a idea Feature selection study of P300 speller using support vector machine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: P300 speller is a traditional brain computer interface paradigm and focused by lots of current BCI researches.  a support vector machine based recursive feature elimination method was adapted to select the optimal channels for character recognition. The margin distance beten target and nontarget stimulus in feature space was evaluated by training SVM classifier and then the features from single channel re eliminated one by one, eventually, channel set provided best recognition performance was left as the optimal set. The results shod that using optimal channel set would achieve a higher recognition correct ratio compared with no channel eliminating. Furthermore the optimal features localized on parietal and occipital areas, on which not only P300 components but VEP components also present a high amplitude waveform. It may suggest that row/column intensification in speller matrix arouses a visual evoked potential and contributes a lot to character identification as ll as P300."}]