A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation
This paper proposed a novel tactile-stimuli P300 paradigm for Brain-Computer Interface (BCI), which potentially targeted at people with less learning ability or difficulty in maintaining attention. The new paradigm using only two types of stimuli was designed, and different targets were distinguishe...
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2021-04-01
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doaj-fef8b217374c426d9a851f6bedccbd562021-04-14T05:46:22ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612021-04-011510.3389/fnhum.2021.641357641357A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile StimulationChenxi Chu0Chenxi Chu1Jingjing Luo2Jingjing Luo3Xiwei Tian4Xiangke Han5Shijie Guo6Shijie Guo7Shijie Guo8Institute of Artificial Intelligence (AI) and Robotics, Academy for Engineering and Technology, Fudan University, as well as Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai, ChinaGuanghua Lingang Engineering Application and Technology R&D (Shanghai) Co., Ltd., Shanghai, ChinaInstitute of Artificial Intelligence (AI) and Robotics, Academy for Engineering and Technology, Fudan University, as well as Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai, ChinaJihua Laboratory, Guangzhou, ChinaDepartment of the State Key Laboratory of Reliability and Intelligence of Electrical Equipment and The Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, Tianjin, ChinaDepartment of the State Key Laboratory of Reliability and Intelligence of Electrical Equipment and The Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, Tianjin, ChinaInstitute of Artificial Intelligence (AI) and Robotics, Academy for Engineering and Technology, Fudan University, as well as Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai, ChinaGuanghua Lingang Engineering Application and Technology R&D (Shanghai) Co., Ltd., Shanghai, ChinaDepartment of the State Key Laboratory of Reliability and Intelligence of Electrical Equipment and The Hebei Key Laboratory of Robot Perception and Human-Robot Interaction, Hebei University of Technology, Tianjin, ChinaThis paper proposed a novel tactile-stimuli P300 paradigm for Brain-Computer Interface (BCI), which potentially targeted at people with less learning ability or difficulty in maintaining attention. The new paradigm using only two types of stimuli was designed, and different targets were distinguished by frequency and spatial information. The classification algorithm was developed by introducing filters for frequency bands selection and conducting optimization with common spatial pattern (CSP) on the tactile evoked EEG signals. It features a combination of spatial and frequency information, with the spatial information distinguishing the sites of stimuli and frequency information identifying target stimuli and disturbances. We investigated both electrical stimuli and vibration stimuli, in which only one target site was stimulated in each block. The results demonstrated an average accuracy of 94.88% for electrical stimuli and 95.21% for vibration stimuli, respectively.https://www.frontiersin.org/articles/10.3389/fnhum.2021.641357/fullbrain-computer interfacevibro-tactile stimulielectro-tactile stimuliP300 paradigmspatial-frequency paradigm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chenxi Chu Chenxi Chu Jingjing Luo Jingjing Luo Xiwei Tian Xiangke Han Shijie Guo Shijie Guo Shijie Guo |
spellingShingle |
Chenxi Chu Chenxi Chu Jingjing Luo Jingjing Luo Xiwei Tian Xiangke Han Shijie Guo Shijie Guo Shijie Guo A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation Frontiers in Human Neuroscience brain-computer interface vibro-tactile stimuli electro-tactile stimuli P300 paradigm spatial-frequency paradigm |
author_facet |
Chenxi Chu Chenxi Chu Jingjing Luo Jingjing Luo Xiwei Tian Xiangke Han Shijie Guo Shijie Guo Shijie Guo |
author_sort |
Chenxi Chu |
title |
A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation |
title_short |
A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation |
title_full |
A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation |
title_fullStr |
A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation |
title_full_unstemmed |
A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation |
title_sort |
p300 brain-computer interface paradigm based on electric and vibration simple command tactile stimulation |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Human Neuroscience |
issn |
1662-5161 |
publishDate |
2021-04-01 |
description |
This paper proposed a novel tactile-stimuli P300 paradigm for Brain-Computer Interface (BCI), which potentially targeted at people with less learning ability or difficulty in maintaining attention. The new paradigm using only two types of stimuli was designed, and different targets were distinguished by frequency and spatial information. The classification algorithm was developed by introducing filters for frequency bands selection and conducting optimization with common spatial pattern (CSP) on the tactile evoked EEG signals. It features a combination of spatial and frequency information, with the spatial information distinguishing the sites of stimuli and frequency information identifying target stimuli and disturbances. We investigated both electrical stimuli and vibration stimuli, in which only one target site was stimulated in each block. The results demonstrated an average accuracy of 94.88% for electrical stimuli and 95.21% for vibration stimuli, respectively. |
topic |
brain-computer interface vibro-tactile stimuli electro-tactile stimuli P300 paradigm spatial-frequency paradigm |
url |
https://www.frontiersin.org/articles/10.3389/fnhum.2021.641357/full |
work_keys_str_mv |
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