Effects of Visual Attention on Tactile P300 BCI

Chen, Zongmei; Jin, Jing; Daly, Ian; Zuo, Cili; Wang, Xingyu; Cichocki, Andrzej

doi:10.1155/2020/6549189

Cited by 11 publications

(9 citation statements)

References 35 publications

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“…As a direct communication link between the brain and an external device without the presence of muscular activity, a brain–computer interface (BCI) relies on higher cognitive functions such as attention, working memory, and executive control to obtain an adequate performance [ 1 , 2 , 3 , 4 , 5 ]. Nowadays, several tools have been developed to bring this technology closer to a consumer device [ 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Distracting Background Speech in an Auditory Brain–Computer Interface

et al. 2021

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Studies so far have analyzed the effect of distractor stimuli in different types of brain–computer interface (BCI). However, the effect of a background speech has not been studied using an auditory event-related potential (ERP-BCI), a convenient option when the visual path cannot be adopted by users. Thus, the aim of the present work is to examine the impact of a background speech on selection performance and user workload in auditory BCI systems. Eleven participants tested three conditions: (i) auditory BCI control condition, (ii) auditory BCI with a background speech to ignore (non-attentional condition), and (iii) auditory BCI while the user has to pay attention to the background speech (attentional condition). The results demonstrated that, despite no significant differences in performance, shared attention to auditory BCI and background speech required a higher cognitive workload. In addition, the P300 target stimuli in the non-attentional condition were significantly higher than those in the attentional condition for several channels. The non-attentional condition was the only condition that showed significant differences in the amplitude of the P300 between target and non-target stimuli. The present study indicates that background speech, especially when it is attended to, is an important interference that should be avoided while using an auditory BCI.

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Section: Introductionmentioning

confidence: 99%

Effect of Distracting Background Speech in an Auditory Brain–Computer Interface

et al. 2021

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“…A lot of online tactile BCIs have been designed and it has been demonstrated that an online system can achieve the same classification accuracy as an offline system ( Rutkowski et al, 2015 ; Chen et al, 2020 ; Jin et al, 2020 ; Ziebell et al, 2020 ). Like visual and auditory BCIs, tactile BCIs can also perform multi-classification tasks.…”

Section: Introductionmentioning

confidence: 99%

“…For a rehabilitation robot for people with relatively slow mental action, such as the stroke, atresia patients as well as the elderly, obtaining accurate motion intention is more important than information transmission. However, tactile BCI systems still have shortcomings, such as too many stimulators and relatively cumbersome operations ( Chen et al, 2020 ; Jin et al, 2020 ; Ziebell et al, 2020 ). Furthermore, classification accuracy and speed for understanding the motion intention of the user still need to be improved for practical use.…”

Section: Introductionmentioning

confidence: 99%

A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation

Chu

Tian

Han

et al. 2021

Front. Hum. Neurosci.

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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.

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“…There has been a report of P300 BCI, based on selective attention to one of the four fingers being electrically stimulated with FES device 4 . Another option is mechanical stimulation, for example, vibration motors 5 . Powerful linear tactors, primarily used for haptic feedback vests, can provide powerful haptic pulse 6 , helping more reliable recognition of stimulation.…”

Section: Introductionmentioning

confidence: 99%

Difference in Somatosensory Event-Related Potentials in the Blind Subjects Leads to Better Performance in Tactile P300 BCI

Grigoryan

Goranskaya

Demchinsky

et al. 2021

Preprint

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In this study, we created 8-command P300 tactile brain-computer interface, running on minimally modified consumer Braille display, and tested it on 10 blind subjects and 10 sighted controls with two stimuli types, differing in size. Larger stimuli provide better BCI performance both in blind and sighted participants than smaller stimuli. With large stimuli, median target selection accuracy in the blind group was 95%, which is 27% more than sighted controls (p < 0.05), suggesting that blind subjects are not only able to use tactile brain-computer interface but also can achieve superior results in comparison with sighted subjects. The difference in event-related potentials between groups is located in frontocentral sites around 300 ms post-stimulus and corresponds with early cognitive event-related potential components. Blind subjects have higher amplitude and shorter latency of ERPs. This effect was consistent across stimuli types. This is the first study to evaluate differences in event-related potentials between blind and sighted subjects in a BCI-specific task.

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Effects of Visual Attention on Tactile P300 BCI

Cited by 11 publications

References 35 publications

Effect of Distracting Background Speech in an Auditory Brain–Computer Interface

Effect of Distracting Background Speech in an Auditory Brain–Computer Interface

A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation

Difference in Somatosensory Event-Related Potentials in the Blind Subjects Leads to Better Performance in Tactile P300 BCI

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