Objective. Steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) has been widely investigated because of its easy system configuration, high information transfer rate (ITR) and little user training. However, due to the limitations brain responses refresh a monitor, available stimulation frequencies for practical BCI application are generally restricted. Approach. This study introduced novel method using intermodulation SSVEP-BCIs that had targets flickering at...

Although notable progress has been made in the study of Steady-State Visual Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI), several factors that limit practical applications BCIs still exist. One these is importability stimulator. In this study, Augmented Reality (AR) technology was introduced to present visual stimuli SSVEP-BCI, while robot grasping experiment designed verify applicability AR-BCI system. The offline determine best stimulus time, online used complete task....

The increasing popularity of Internet Things (IoT) devices provides a huge data source for intelligent identification. Images captured by the unmanned aerial vehicle (UAV) are often exploited in target detection missions search, rescue and fire prevention. However, without sufficient training samples, machine learning method is usually difficult to meet application requirements. To solve problem, brain–computer interface (BCI) real-time system applied UAV detection. In this study, novel...

Auditory Evoked Potentials (AEP), particularly the N100 component and auditory steady-state response (ASSR), have been utilized in clinical assessment of patients with Disorders Consciousness (DOC). However, specific utility these measures remains debated across studies. To clarify roles ASSR evaluating function levels consciousness DOC patients, we recorded responses 30 assessed their significance at individual level through statistical analyses. Our findings indicate that, compared to...

A visual stimulator plays a vital part in brain-computer interfaces (BCIs) based on steady-state evoked potential (SSVEP). The properties of stimulation, such as frequency, color, and waveform, will influence SSVEP-based BCI performance to some extent. Recently, the computer monitor serves that is widespread BCIs because its great flexibility generating stimuli. However, stimulation have received very little attention. For better comprehension SSVEPs, this study explored effects waveforms...

This paper reports on a benchmark dataset acquired with brain-computer interface (BCI) system based the rapid serial visual presentation (RSVP) paradigm. The consists of 64-channel electroencephalogram (EEG) data from 64 healthy subjects (sub1,…, sub64) while they performed target image detection task. For each subject, contained two groups ("A" and "B"). Each group blocks, block included 40 trials that corresponded to stimulus sequences. sequence 100 images presented at 10 Hz (10 per...

The application study of robot control based brain-computer interface (BCI) not only helps to promote the practicality BCI but also advancement technology, which is great significance. Among many obstacles, importability stimulator brings much inconvenience task. In this study, augmented reality (AR) technology was employed as visual steady-state evoked potential (SSVEP)-BCI and walking experiment in maze designed testify applicability AR-BCI system. online complete task commands were sent...

Significant progress has been made in the past two decades to considerably improve performance of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). However, there are still some unsolved problems that may help us BCI performance, one which is our understanding dynamic process SSVEP superficial, especially for transient-state response.This study introduced an antiphase stimulation method (antiphase: phase [Formula: see text]), can simultaneously separate and...

Abstract Objective. Brain–computer interface (BCI) system has developed rapidly in the past decade. And rapid serial visual presentation (RSVP) is an important BCI paradigm to detect targets high-speed image streams. For decoding electroencephalography (EEG) RSVP task, ensemble-model methods have better performance than single-model ones. Approach. This study proposed a method based on ensemble learning extract discriminant information of EEG. An extreme gradient boosting framework was...

In many cases, noise in visual stimuli plays an active role brain information processing. Electroencephalogram (EEG) provides objective mean to measure cognition and processing, studies on the effect of EEG can help us better understand mechanisms involved processing.In this study, stimuli, consisting images with different levels, were created using phase-scrambled method. data evoked by these then obtained rapid serial presentation (RSVP) paradigm N-back method was used induce assess...

Goal: Evoked or Event-Related Potential (EP/ERP) detection is a major area of interest within the domain EEG (electroencephalography) signal processing. While traditional methods processing have mostly focused on enhancing components, few explored background noise suppression techniques. Optimizing can play critical role in improving performance EP/ERP detection. Methods: In this study, spatio-temporal equalization (STE) method was proposed based Multivariate Autoregressive (MVAR) model,...

This study embarks on a comprehensive investigation of the effectiveness repetitive transcranial direct current stimulation (tDCS)-based neuromodulation in augmenting steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs), alongside exploring pertinent electroencephalography (EEG) biomarkers for assessing brain states and evaluating tDCS efficacy. EEG data were garnered across three distinct task modes (eyes open, eyes closed, SSVEP stimulation) two patterns (sham-tDCS...

In the fatigue state, neural response characteristics of brain might be different from those in normal state. Brain functional connectivity analysis is an effective tool for distinguishing between states. For example, comparative studies on have potential to reveal differences mental The purpose this study was explore relationship human states and control abilities by analyzing effect connectivity. particular, phase‐scrambling method used generate images with two noise levels, while N‐back...

At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on steady-state visual evoked potentials (SSVEP) eye-tracking virtual reality (VR) environment, including simultaneous sequential modes. For mode, target classification was realized by decision-level fusion of electroencephalography (EEG) eye-gaze....

Objective. Visual attention is not homogeneous across the visual field, while how to mine effective electroencephalogram (EEG) characteristics that are sensitive inhomogeneous of and further explore applications such as performance brain-computer interface (BCI) still distressing explorative scientists.Approach. Images were encoded into a rapid serial presentation (RSVP) paradigm, presented in three visuospatial patterns (central, left/right, upper/lower) at stimulation frequencies 10, 15 20...

Steady-state visual evoked potential (SSVEP)-based brain– computer interfaces (BCIs) have been widely studied. Considerable progress has made in the aspects of stimulus coding, electroencephalogram processing, and recognition algorithms to enhance system performance. The properties SSVEP demonstrated be highly sensitive luminance. However, thus far, there very few reports on impact background luminance performance SSVEP-based BCIs. This study investigated SSVEPs. Specifically, this compared...

Hybrid brain-computer interfaces (HBCI) combining eye-tracker has attracted the attentions of researchers in target recognition. However, there are still many issues to be addressed rapid sequence visual presentation (RSVP) tasks, such as effect rates and types on event-related potentials (ERP) pupillometry, synchronization analysis electroencephalography (EEG) eye-tracking, so on. In this study, RSVP experiments with three different pictures, words numbers at 100 200 ms were conducted. EEG...

In the field of steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI), lengthy training time was always an obstacle to practical application. this paper, we explored a novel method reduce cost by replacing traditional sinusoidal template or signal with dynamic SSVEP model and conducting sampling strategy. To evaluate method, recognition accuracy under two conditions (sine/cosine template) were compared on four different algorithms. The results showed that...

Objective. Electroencephalogram (EEG) is an objective reflection of the brain activities, which provides potential possibilities for state estimation based on EEG characteristics. However, how to mine effective characteristics still a distressing problem in monitoring.Approach. The phase-scrambled method was used generate images with different noise levels. Images were encoded into rapid serial visual presentation paradigm. N-back working memory employed induce and assess fatigue state....

This study explored methods for improving the performance of Steady-State Visual Evoked Potential (SSVEP)-based Brain-Computer Interfaces (BCI), and introduced a new analytical method to quantitatively analyze reflect characteristics SSVEP. We focused on effect pre-stimulation paradigm SSVEP dynamic models response process SSVEP, performed comparative analysis three pre-stimulus paradigms (black, gray, white). Four with different orders (second- third-order) without zero point were used fit...

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have to realize high-speed communication between human brain and external devices. Recently, we proposed an intermodulation frequency-based stimulation approach increase the number of stimuli that can be presented on a computer monitor. Although our recent studies demonstrated this encode more by only one flickering frequency, performance SSVEP BCI remains poor needs further improvement. This study aims...

The study of brain state estimation and intervention methods is great significance for the utility brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) explored to improve performance steady-state visual evoked potential (SSVEP)-based BCIs. effects pre-stimulation, sham-tDCS anodal-tDCS are analyzed through comparison EEG oscillations fractal component characteristics. addition, in study, novel method introduced...

In this study, the effect of presentation rates on pupil dilation is investigated for target recognition in Rapid Serial Visual Presentation (RSVP) paradigm. experiment, RSVP paradigm with five different rates, including 50, 80, 100, 150, and 200 ms, designed. The pupillometry data 15 subjects are collected analyzed. results reveal that peak average amplitudes size velocity at 80-ms rate considerably higher than those other rates. amplitude acceleration significantly latencies under 50-...