{'fraction_non_alphanumeric': 0.015098722415795587, 'fraction_numerical': 0.017421602787456445, 'mean_word_length': 5.201438848920863, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An Optimizational Tactile P300 Brain-Computer Interface Paradigm

Most classical P300 brain computer interface system relies on visual stimuli to choose commands. However, most information of environment was also obtained visually for the users. In recent years, some tactile P300 paradigms were proposed to improve the limitation of visual P300 paradigm. In our study, we proposed an optimizational tactile P300 paradigm based on the traditional sequential paradigm. We designed three kinds of experiments to research the performance of our proposed paradigm. The results showed that there was no obvious change in classification accuracy but all the subjects got higher ITR in the experiment of our proposed paradigm. The proposed paradigm, as a new attempt in the study of tactile stimulation methods, was helpful to the application of the tactil BCI system.