- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Tactile and Sensory Interactions
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Chaos control and synchronization
- Gaze Tracking and Assistive Technology
- Ergonomics and Musculoskeletal Disorders
- Advanced Memory and Neural Computing
- Retinal Imaging and Analysis
- Ocular and Laser Science Research
- Photoreceptor and optogenetics research
- Fractional Differential Equations Solutions
- Advanced Sensor Technologies Research
- Lubricants and Their Additives
- Machine Fault Diagnosis Techniques
- Neural Networks and Applications
- Statistical Mechanics and Entropy
- Video Surveillance and Tracking Methods
- Complex Systems and Time Series Analysis
- Gear and Bearing Dynamics Analysis
- Hand Gesture Recognition Systems
- Advanced Measurement and Detection Methods
- Ophthalmology and Visual Impairment Studies
- Advanced Vision and Imaging
Xi'an Jiaotong University
2020-2024
Lingnan Normal University
2023
Hanjiang Normal University
2023
Nowadays, more people tend to go bed late and spend their sleep time with various electronic devices. At the same time, BCI (brain−computer interface) rehabilitation equipment uses a visual display, thus it is necessary evaluate problem of fatigue avoid impact on training effect. Therefore, very important understand using devices in dark environment at night human fatigue. This paper Matlab write different color paradigm stimulations, 4K display an adjustable screen brightness jointly design...
In the process of brain-computer interface (BCI), variations across sessions/subjects result in differences properties potential brain. This issue may lead to feature distribution electroencephalogram (EEG) subjects, which greatly reduces generalization ability a classifier. Although subject-dependent (SD) strategy provides promising way solve problem personalized classification, it cannot achieve expected performance due limitation amount data especially for deep neural network (DNN)...
In steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI), improving the recognition performance for new subjects without calibration data is key challenge practical application. Unsupervised transfer learning an effective way to overcome it. However, existing studies focus solely on what transfer, rather than how effectively resulting in unsatisfactory effectiveness or even negative transfer. this study, innovative unsupervised cross-subject method SSVEP-BCI was...
Abstract Bearings are key components in mechanical equipment, which widely used various fields such as automobiles and airplanes. Aiming at the analysis of vibration signal processing under variable speed condition bearings, this paper proposes a new bearing fault diagnosis method, firstly resamples signals angular domain, then converts resampled into images by relative position matrix finally uses transfer learning to automatically extract features classify them. To verify effectiveness it...
The refresh rate is one of the important parameters visual presentation devices, and assessing effect a device on motion perception has always been an direction in field research. This study examined response at different stimulation frequencies provided objective electrophysiological assessment method for correct selection display experiment. In this study, flicker-free steady-state with continuous scanning frequency forms (sinusoidal or triangular) was presented low-latency LCD monitor...
Objective. This study aimed to explore an online, real-time, and precise method assess steady-state visual evoked potential (SSVEP)-based acuity more rapidly objectively with self-adaptive spatial frequency steps.Approach. Taking the vertical sinusoidal reversal gratings different frequencies temporal as stimuli, according psychometric function for assessment, a procedure, best parameter estimation by sequential testing algorithm, was used calculate sequence based on all previous their...
With the development of brain-computer interface industry, large amounts related applications have entered people's vision. BCI based on steady-state visual evoked potentials (SSVEP) are widely used because they do not require pre-training and high information transmission rates. However, in actual use SSVEP stimulus paradigm, subjects will produce fatigue with use, affect efficiency. In this experiment, an experimental environment consisting two paradigm frequencies (7.5 Hz, 15 Hz), three...
The series of Kinect, which has the third-generation device now, is a low-cost scene information collection sensor to capture color and depth from at same time. Due hardware structure sensor, image shot by Kinect not homologous. In this article, we compared parameters different three generations products, have calibrated RGB camera IR (infrared) Azure so as internal external between camera, align taken with Kinect. At time, evaluated shooting accuracy stability Kinect's conducted experiments...
Objective.Motor imagery (MI), based on the theory of mirror neurons and neuroplasticity, can promote motor cortical activation in neurorehabilitation. The strategy MI brain-computer interface (BCI) has been used rehabilitation training daily assistance for patients with hemiplegia recent years. However, it is difficult to maintain consistency timeliness receiving external stimulation neural most subjects owing high variability electroencephalogram (EEG) representation across trials/subjects....
The purpose of this study was to enhance the performance steady-state visual evoked potential (SSVEP)-based acuity assessment with spatial filtering methods. Using vertical sinusoidal gratings at six frequency steps as stimuli for 11 subjects, SSVEPs were recorded from occipital electrodes (O1, Oz, O2, PO3, POz, and PO4). Ten commonly used training-free methods, i.e., native combination (single-electrode), bipolar combination, Laplacian average common reference (CAR), minimum energy (MEC),...
The progression of brain-computer interfaces (BCIs) has been propelled by breakthroughs in neuroscience, signal processing, and machine learning, marking it as a dynamic field study over the past few decades. Nevertheless, nonlinear non-stationary characteristics steady-state visual evoked potentials (SSVEPs), coupled with incongruity between frequently employed linear techniques attributes, resulted subpar performance mainstream non-training algorithms like canonical correlation analysis...
The steady-state visual evoked potential (SSVEP) acuity is usually defined by extrapolating a straight line regressed through significant SSVEP amplitudes plotted versus spatial frequencies to 0 μV or noise level floor, the finest frequency evoking SSVEP. This study aimed compare performance of commonly used threshold determination criteria extrapolation technique and technique. Visual was measured both Freiburg Acuity Test (FrACT) with vertical sinusoidal reversal gratings in ten adults....
Introduction In recent years, more and attention has been paid to the visual fatigue caused by steady state evoked potential (SSVEP) paradigm. It is well known that large-scale application of brain-computer interface closely related SSVEP, SSVEP paradigm leads reduction effect. At present, mainstream method objectively quantifying in based on traditional canonical correlation analysis (CCA). Methods this paper, we propose a new quantification algorithm underdamped second-order stochastic...
This paper presents a novel approach to the phase space reconstruction technique, fractional-order (FOSS), which generalizes traditional integer-order derivative-based method. By leveraging fractional derivatives, FOSS offers perspective for understanding complex time series, revealing unique properties not captured by conventional methods. We further develop multi-span transition entropy component method (MTECM-FOSS), an advanced complexity measurement technique that builds upon FOSS....
With the development of modern technology, many people work for a long time around various artificial light sources and electronic equipment, causing them to feel discomfort in their eyes even eye diseases. The industry currently lacks an objective quantitative environmental–visual comfort index that combines subjective indicators. For this experiment, movement electroencephalogram (EEG) signals were collected combination with questionnaire survey preference inquiry comprehensive data...
Cultivating students' emotional expression ability in universities is an important component of improving the effectiveness aerobics performance and overall quality teaching. This paper uses method logical analysis to discuss cultivation college teaching, analyzes it combination with teaching practice. The results shows that students can cultivate their through learning basic knowledge aerobics, aesthetic perception, self-confidence, innovation, integrating emotions into body language. From...
This study aimed to explore whether there was an effect on steady-state visual evoked potential (SSVEP) acuity assessment from the oblique or stimulus orientation. SSVEPs were induced by seven stimuli, e.g., reversal sinusoidal gratings with horizontal, two oblique, and vertical orientations, checkerboards oscillating expansion-contraction concentric-rings, at six spatial frequency steps. Ten subjects participated in experiment. Subsequently, a threshold estimation criterion used determine...
Display light source has an important influence on the eye health. In most of work and life scenes, LED panel display is still backbone market. The discrete spectrum high intensity blue have been criticized. Therefore, this paper innovates screen with natural instead (remove backlight keep a uniform sheet), compares paradigm stimulation under based steady-state visual evoked potential (SSVEP). Finally, difference analysis human brain response given. study, subjects were asked to evaluate...
Dynamic visual acuity (DVA) is a measurement of the ability to discriminate critical details relative moving objects. It regarded as superior observation index that can reflect comprehensive functional state vision system. However, there still not gold criterion for DVA assessment in clinical test. Recently, steady-state evoked potential (SSVEP) proved an objective, quantitative and sensitive method evaluating objective acuity. By recording analyzing SSVEP signals eye movements, new approach...