A5076063555- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Blind Source Separation Techniques
- Stroke Rehabilitation and Recovery
- Retinal Development and Disorders
- Hearing, Cochlea, Tinnitus, Genetics
- Mindfulness and Compassion Interventions
- Photoreceptor and optogenetics research
- CCD and CMOS Imaging Sensors
- Elevator Systems and Control
- Child and Animal Learning Development
- Emotion and Mood Recognition
- Neuroscience and Music Perception
- Color Science and Applications
- Reproductive Biology and Fertility
- Social Robot Interaction and HRI
- Tactile and Sensory Interactions
- Cultural Differences and Values
- Non-Invasive Vital Sign Monitoring
- Advanced Optical Imaging Technologies
- Advanced Memory and Neural Computing
- Mind wandering and attention
Guangdong 999 Brain Hospital
2024
King's College London
2022-2024
Interface (United Kingdom)
2024
South China University of Technology
2016-2023
Foshan Maternity and Child Health Care Hospital
2014
Nonmanual human-machine interfaces (HMIs) have been studied for wheelchair control with the aim of helping severely paralyzed individuals regain some mobility. The challenge is to rapidly, accurately, and sufficiently produce commands, such as left right turns, forward backward motions, acceleration, deceleration, stopping. In this paper, a novel electrooculogram (EOG) based HMI proposed control.A total 13 flashing buttons, each which corresponds command, are presented in graphical user...
Most existing brain-computer Interfaces (BCIs) are designed to control a single assistive device, such as wheelchair, robotic arm or prosthetic limb. However, many daily tasks require combined functions which can only be realized by integrating multiple devices. Such integration raises the requirement of accuracy and is more challenging achieve reliable compared with device case. In this study, we propose novel hybrid BCI high based on electroencephalogram (EEG) electrooculogram (EOG) an...
The limitations of traditional manual human–machine interactive instruments (HMIs) prevent individuals with severe motor disabilities from effectively controlling wheelchair robotic arm systems, thereby impacting their independence and quality life. Addressing this issue, study developed a wearable hybrid HMI to meet the practical needs disabilities. By recruiting ten healthy participants complete three experiments—a blink detection test, control system test—the effectiveness proposed was...
A challenging task for an electroencephalography (EEG)-based asynchronous brain-computer interface (BCI) is to effectively distinguish between the idle state and control while maintaining a short response time high accuracy when commands are issued in state. This study proposes novel hybrid BCI system based on combination of steady-state visual evoked potentials (SSVEPs) EEG signal blink-related electrooculography (EOG) signals.Twelve buttons corresponding 12 characters included graphical...
Objective: This paper presents an asynchronous electrooculography (EOG)-based human-machine interface (HMI) for smart home environmental control with the purpose of providing daily assistance severe spinal cord injury (SCI) patients. Methods: The proposed HMI allows users to interact a environment through eye blinking. Specifically, several buttons, each corresponding command, randomly flash on graphical user interface. Each buttons functions as visual cue blink. To issue can blink...
This paper presents a new asynchronous hybrid brain-computer interface (BCI) system that integrates speller, web browser, an e-mail client, and file explorer using electroencephalographic (EEG) electrooculography (EOG) signals. More specifically, EOG-based button selection method, which requires the user to blink his/her eyes synchronously with target button's flashes during selection, is first presented. Next, we propose mouse control method by combining EEG EOG signals, in left-/right-hand...
Differences in GABAergic function are critical to autistic visual sensory neurobiology and can be modulated by targeting GABA B .
Objective: A brain-computer interface (BCI) can be used to translate neuronal activity into commands control external devices. However, using noninvasive BCI a robotic arm for movements in three-dimensional (3D) environments and accomplish complicated daily tasks, such as grasping drinking, remains challenge. Approach: In this study, shared system based on hybrid asynchronous computer vision was presented. The model, which combines steady-state visual evoked potentials (SSVEPs) blink-related...
In this study, we combine a wheelchair and an intelligent robotic arm based on electrooculogram (EOG) signal to help patients with spinal cord injuries (SCIs) accomplish self-drinking task. The main challenge is accurately control the ensure that randomly located object within limited reachable space of (length: 0.8 m; width: 0.4 height: 0.6 m), which requires decimeter-level precision, still undemonstrated for EOG-based systems as well EEG-based systems.A novel high-precision human machine...
Alterations in γ-aminobutyric acid (GABA) have been implicated sensory differences individuals with autism spectrum disorder (ASD). Visual signals are initially processed the retina, and this study, we explored hypotheses that GABA-dependent retinal response to light is altered ASD. Light-adapted electroretinograms were recorded from 61 adults (38 males 23 females;
Seasickness is a prevalent issue that adversely impacts both passenger experiences and the operational efficiency of maritime crews. While techniques redirect attention have proven effective in alleviating motion sickness symptoms terrestrial environments, applying similar strategies to manage seasickness poses unique challenges due prolonged intense environment associated with travel. In this study, we propose mindfulness brain-computer interface (BCI), specifically designed aim mitigating...
In clinical practice, the symptoms of tinnitus patients can be temporarily alleviated by diverting their attention away from disturbing sounds. However, precise mechanisms through which this alleviation occurs are still not well understood. Here, we aimed to directly evaluate role in conducting distraction tasks with multilevel loads and resting-state tests among 52 adults healthy controls. We demonstrated that abnormal neural oscillations subjects, reflected an altered gamma/alpha ratio...
An increasing number of people fail to properly regulate their emotions for various reasons. Although brain-computer interfaces (BCIs) have shown potential in neural regulation, few effective BCI systems been developed assist users emotion regulation. In this paper, we propose an electroencephalography (EEG)-based regulation with virtual reality (VR) neurofeedback. Specifically, music clips positive, neutral, or negative were first presented, based on which the participants asked emotions....
Diffusion Innovation theory aims to elaborate the law of diffusion and development innovation things in social systems is widely used study phenomena new technologies at home abroad. As digital transformation reshapes global communication learning styles, recent advances wearable portable brain-computer interfaces (BCI) provide an opportunity for practical implementation educational scenarios, have a broad application prospect. Here, we review four ways BCI currently applied field education...
Altered reactivity and responses to auditory input are core the diagnosis of autism spectrum disorder (ASD). Preclinical models implicate ϒ-aminobutyric acid (GABA) in this process. However, link between GABA processing humans (with or without ASD) is largely correlational. As part a study potential biosignatures function ASD inform future clinical trials, we evaluated role repetition suppression 66 adults (n = 28 with ASD). Neurophysiological (temporal frequency domains) repetitive standard...
Motion sickness is a common affliction that affects nearly half of the global population and poses challenges to comfortable travel experiences, necessitating diverse intervention strategies. Pharmacological interventions have shown promise but present limitations due side effects. To date, there no non- pharmacological alleviation method for motion has been proven effective in large population. In this study, we developed novel mindfulness brain-computer interface (mindfulness BCI)...
Abstract Brain function is the dynamic output of coordinated excitatory and inhibitory (E-I) activity. E-I alterations, arising from differences in glutamate GABA pathways, are implicated development heterogeneity multiple neurodevelopmental conditions, such as autism; consequently targets for pharmacological support options. Yet, measures neurotransmitter levels or receptors living human brain (such Magnetic Resonance Spectroscopy Positron Emission Tomography) expensive and/or invasive do...
Abstract Suppressing responses to repetitive sounds, while staying vigilant rare is a cross-species trait vital for survival, which altered in autism spectrum disorder (ASD). Preclinical models implicate ϒ-aminobutyric acid (GABA) this process. Although differences GABA genes, post-mortem markers and bulk tissue levels have been observed ASD, the link between auditory processing humans (with or without ASD) largely correlational. Here, we directly evaluated role of repetition suppression 66...
P300, which is usually evoked by visual stimulus, widely used in electroencephalography (EEG) based brain computer interface (BCI) studies. As an application-oriented BCI study, the P300 speller would inevitably be outdoor environments. However, stimulation effect might interfered reflections environment. This paper attempted to improve performance using polarizer. Six subjects participated our two experiments, each experiment was conducted three times under different conditions. The results...
Abstract Meditation, mental training that aims to improve one’s ability regulate their cognition, has been widely applied in clinical medicine. However, the mechanism by which meditation affects brain activity is still unclear. To explore this question, electroencephalogram data were recorded 20 long-term meditators and nonmeditators during 2 high-level cognitive tasks (meditation calculation) a relaxed resting state (control). Then, power spectral density phase synchronization of extracted...
In this study, we aimed to investigate whether and how the aperiodic component in electroencephalograms affects different quantitative processes of steady-state visually evoked potentials performance corresponding brain-computer interfaces.
Car sickness, an enormous vehicular travel challenge, affects a significant proportion of the population. Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, we introduce novel closed-loop, artificial intelligence (AI)-driven, wearable mindfulness brain-computer interface (BCI) alleviate car sickness. As user performs meditation with headband, BCI collects analyses electroencephalography (EEG) data...