Computer Monitor Research Articles

Performance Analysis of a Color-Code-Based Optical Camera Communication System

In this study, we present a visible light communication (VLC) system that analyzes the performance of an optical camera communication (OCC) system, utilizing a mobile phone camera as the receiver and a computer monitor as the transmitter. By creating color channels in the form of a 4 × 4 matrix within a frame, we determine the parameters that affect the successful transmission of data packets. Factors such as the brightness or darkness of the test room, the light color of the lamp in the illuminated environment, the effects of daylight when the monitor is positioned in front of a window, and issues related to dead pixels and light bleed originating from the monitor’s production process have been considered to ensure accurate data transmission. In this context, we utilized the PyCharm, Pydroid, Python, Tkinter, and OpenCV platforms for programming the transmitter and receiver units. Through the application of image processing techniques, we mitigated the effects of daylight on communication performance, thereby proposing a superior system compared to standard VLC systems that incorporate photodiodes. Additionally, considering objectives such as the maximum number of channels and the maximum distance, we regulated the sizes of the channels, the distances between the channels, and the number of channels. The NumPy library, compatible with Python–Tkinter, was employed to determine the color levels and dimensions of the channels. We investigate the effects of RGB and HSV color spaces on the data transmission rate and communication distance. Furthermore, the impact of the distance between color channels on color detection performance is discussed in detail.

Оцінка точності комп’ютерного моделювання окуло-моторної системи на основі моделей Вольтерри

Integral nonlinear models are used to create mathematical models of the human oculo-motor system (OMS). These models take into account both inertial and nonlinear properties of the objects under study. To obtain empirical data for model construction, experimental studies are conducted with OMS using «input-output» data. Visual stimuli are used as test signals, displayed on a computer monitor at various distances from the starting position, which formally corresponds to the action of step signals with varying amplitudes on the object of study. In this process, the responses of the OMS are recorded using innovative eye-tracking technology. Mathematical models in the form of Volterra series and polynomials are employed for computer modeling of the OMS. The aim of this research is to analyze the accuracy of OMS identification as multidimensional transient functions based on eye-tracking data, examining the dependency of computation errors for models of different orders on the amplitudes and quantities of the test signals used. The subject of the study includes various methods for identifying OMS, algorithms, and Python-based software tools for computing the dynamic characteristics of OMS using eye-tracking technology. The research explores identification methods: compensation, approximation, and least squares methods. The accuracy of the linear, quadratic, and cubic OMS models is evaluated. The most accurate models, constructed from real experimental data, are found to be quadratic or cubic OMS models obtained using the least squares method with three test signals.

Diffusion Limited Aggregation via Python: Dendritic Structures and Algorithmic Art

Diffusion limited aggregation (DLA) has attracted much attention due to its simplicity and broad applications in physics such as nano and microparticle aggregations. In this study, the algorithm of DLA is written with Python. Python's Turtle library is used to plot the aggregate on the computer monitor as it grows. The algorithm is run on the Raspberry Pi. A cheap and portable medium is created for DLA simulation. Two different options are placed in the algorithm. The first path does not allow the primary particle to turn outside of the aggregate after the collision. However, the second one allows the percolation of the primary particle both inside and outside of the aggregate. The spherical dendritic structures consisting of 500-2000 primary particles are obtained by the algorithm. The fractal dimension of these structures is around 1.68. Their porosity is found below 50%. Their gyration radii are also calculated. Beyond scientific investigation, examples of algorithmic art using these dendritic structures are also given.

Optimizing radiology remote reading: leveraging technology to improve efficiency.

Remote work has been increasingly utilized in the profession of radiology over recent years. Setting up your individual workstation offers an opportunity to tailor it to suit your preferences without the restriction of a universal setup to accommodate multiple users. Important considerations when setting up a home workstation include selecting the optimal work location, choosing the proper desk and chair, and configuring an ideal computer monitor layout. The use of peripheral devices, such as programmable mice and hands-free dictation tools can improve efficiency and reduce repetitive strain injuries. This article also explores the use of smart home devices and programmable scripts using AutoHotKey to further streamline workflow and maximize the benefits of a remote workstation.

Implant position accuracy using dynamic computer-assisted implant surgery (CAIS) combined with augmented reality: A randomized controlled clinical trial

Background/purposeComputer-assisted implant surgery (CAIS) is increasingly performed to reduce deviations in implant position. Dynamic CAIS or navigation systems provide instant display of implant drilling instruments and patient positions directly on the computer monitor. Augmented reality (AR) technology allows operators to visualize real-time information projected onto the lenses of AR glasses. Although AR is being used in medical applications, there are few clinical studies on applying AR glasses to dental implants. The purpose of this randomized clinical study was to compare the accuracy of implant position using the dynamic CAIS with and without AR glasses. Materials and methodsTwenty patients who needed a single dental implant were randomly divided into two groups: combined dynamic CAIS with AR glasses (AR glasses group, n = 10) and dynamic CAIS without AR glasses (non-AR glasses group, n = 10). Three-dimensional (3D) deviations of implant platform, apex and angular deviations were measured and analyzed using independent t-tests (P < 0.05). ResultsThe 3D angular deviations in the AR glasses and non-AR glasses groups were 1.47 ± 1.01° and 2.42 ± 0.76°, respectively. Mean 3D entry point and apical deviations were 0.75 ± 0.45 mm and 0.87 ± 0.45 mm in the AR glasses group, whereas the non-AR glasses group were 1.11 ± 0.44 mm and 1.18 ± 0.50 mm, respectively. There was no statistically significant difference between the two groups. ConclusionImplant position accuracy using dynamic CAIS with AR glasses was similar to dynamic CAIS without AR glasses during a single implant placement.

Investigation of the accuracy of integral models of the oculo-motor system

For mathematical modeling of the human oculomotor system (OMS), integral nonlinear models are used, which simultaneously take into account the nonlinear and inertial properties of the research object. Based on the data of experimental studies of the OMS "input-output", transient and diagonal intersections of transient functions of the second and third orders are determined. To obtain experimental data, an innovative eye tracking technology is used, which allows recording eye responses to test visual stimuli. Thus test signals are displayed on the computer monitor at different distances from the starting position in the horizontal direction. The aim of the research is to study the accuracy of OMS identification using eye-tracking data by evaluating the calculation errors of multidimensional transient functions when using methods of nonlinear dynamic identification based on models in the form of Volterra series and polynomials. The object of the study is the process of nonparametric identification of the OMS based on Volterra models in the time domain. The subject of the research is algorithmic and software tools for calculating the dynamic characteristics of OMS based on eye-tracking data, analyzing the accuracy of the obtained models using two identification methods: the approximation method and the least squares method (LSM). The means of nonlinear dynamic identification of the human OMS based on Volterra series and polynomials were developed in the Python programming environment. The accuracy estimates of various OMS (linear, quadratic, and cubic) models were obtained based on data from three responses to test signals of different amplitudes. For the same test signals, the same models in the form of the Volterra series and polynomials were obtained, as these models coincide in the region of convergence of the Volterra series. The analysis of errors in the assessment of the dynamic characteristics of the OMS demonstrated that the model in the form of an integral polynomial of the second degree, which was built using the LSM based on three responses, has an accuracy twice as high as the accuracy of similar models built using the data of two responses. Thus, in further studies of the psychophysiological state of a person based on nonlinear dynamic models of the OMS according to the data of three responses, it is advisable to use a model in the form of a quadratic Volterra polynomial. Figs.: 17. Tabl. 3. Refs.: 10 titles.

Assessing the impact of glazing and window shade systems on view clarity

Windows provide access to daylight and outdoor views, influencing building design. Various glazing and window shade materials are used to mitigate glare, overheating and privacy issues, and they affect view clarity. Among them, we evaluated the effect of window films, electrochromic (EC) glass, and fabric shades on view clarity. We conducted an experiment with 50 participants using visual tests adapted from clinical vision tests (visual acuity, contrast sensitivity, color sensitivity) and images displayed on a computer monitor in a controlled laboratory. Window films and EC glass tints outperformed fabric shades in visual acuity, contrast sensitivity and view satisfaction with the exception of the darkest EC tint state and dark grey VLT 3% shade for color sensitivity and view satisfaction. The EC tints pose internal reflection issues and fabric shades are preferred for visual privacy. Window films and EC glass hinder participants’ blue–green color discrimination while fabric shades also decrease red–yellow color discrimination. Visual acuity predicts view satisfaction and contrast sensitivity is the strongest predictor for visual privacy. Generally, higher visible light transmittance and lower solar reflectance (darker color) enhance human visual performance. The proposed workflow provides an experimental procedure, identifies the primary variables and establishes a predictive framework for assessing view clarity of fenestration.

Influence of Visual Stimulus Changes in a Virtual Environment on Postural Control: Focusing on a Hallway Walking Simulation

The purpose of this study was to clarify the effects of the standing center of gravity sway by providing visual stimulus information as if the subjects were walking in virtual reality (VR) and by monitoring conditions with different corridor widths. We included 25 healthy young individuals in our study. The center of gravity sway was measured during open- and closed-eye static standing using images of walking in corridors of different widths (780 and 1600 mm) presented on a VR and personal computer monitor (Monitor). The parameters measured for the center of gravity sway were swing path length (SPL), height of excursion (HoE), and width of excursion (WoE). The results showed that the SPL and HoE values were significantly greater in the VR group than those in the Monitor group. The greater center of gravity sway in the VR compared with the Monitor group can be attributed to the ability of the head-mounted VR display to cover the entire field of vision and its head-tracking function. There was no change in the center of gravity sway with respect to the corridor width, which may be because the width of the corridor alone did not provide sufficient visual stimulation to affect physical function. This research could lead to further studies which could impact the motivation of patients for rehabilitation therapies.

On language development in the times of screen addiction (based on English neologisms)

The given article is the summary of the research into neologisms of the lexico-semantic field Screen Addiction, the aim of which is to describe ways and means of the formation of screen addiction neologisms in modern English following the tenets of the cognitive-discursive approach. The methods used in data analysis are the definition method, the componential and the discourse analysis, and quantitative methods. The data under study (31 neologisms) were collected from dictionaries and online sources (newspapers, blogs, etc.) by hand search. The analysis of the semantic structure of the language unit “screen” in diachronic perspective led us to the conclusion that this language unit is flexible as all ongoing social changes tend to be accompanied by the expansion of the lexico-semantic variants of “screen” and by the change of their hierarchical structure. At present the most active variants of “screen” are “display on a computer monitor” and “the monitor itself ”. The neologisms of the lexico-semantic field Screen Addiction were classified by structural and semantic parameters. By their structure, they fall into two groups – neologisms with and without the “screen” component. By the semantic parameter we mean those spheres of our life, which have been influenced by screen addiction and have found their reflection in neologisms. According to the semantic parameter, neologisms fall into several groups: а) time/epoch we live in; b) people living in these times; c) time spent in front of the screen; d) screen addiction and ways of tackling it; e) diseases and other dysfunctions caused by screen addiction; and f) behaviour and manners. Group d) (screen addiction and ways of solving this issue) takes the lead (61 % of neologisms) which can indicate that this very aspect is people’s utmost concern at present. In terms of word building, compound words prevail (81% neologisms), whereas neologisms built by blending are only 16%, and by suffixation − 3%. It can be assumed that suffixation is less productive than compounding and blending since it does not let the speaker manifest his linguistic creativity in Internet communication.

What does visual snow look like? Quantification by matching a simulation.

The primary symptom of visual snow syndrome (VSS) is the unremitting perception of small, flickering dots covering the visual field. VSS is a serious but poorly understood condition that can interfere with daily tasks. Several studies have provided qualitative data about the appearance of visual snow, but methods to quantify the symptom are lacking. Here, we developed a task in which participants with VSS adjusted parameters of simulated visual snow on a computer monitor until the simulation matched their internal visual snow. On each trial, participants (n = 31 with VSS) modified the size, density, update speed, and contrast of the simulation. Participants' settings were highly reliable across trials (intraclass correlation coefficients > 0.89), and they reported that the task was effective at stimulating their visual snow. On average, visual snow was very small (less than 2 arcmin in diameter), updated quickly (mean temporal frequency = 18.2 Hz), had low density (mean snow elements vs. background = 2.87%), and had low contrast (average root mean square contrast = 2.56%). Our task provided a quantitative assessment of visual snow percepts, which may help individuals with VSS communicate their experience to others, facilitate assessment of treatment efficacy, and further our understanding of the trajectory of symptoms, as well as the neural origins of VSS.

Обработка зрительной вербальной информации в условиях чтения и категоризации слов в составе одного согласованного словосочетания

The purpose of this study was to identify neurophysiological differences in information processing by the brain during passive reading and semantic categorization of individual words within a phrase. Materials and methods. The research involved 25 natural science students of Nizhny Novgorod universities. In the course of the experiment, the subjects were presented with word combinations consisting of an attribute and a noun on a computer monitor. In the first series of presentations, the task was to classify the attribute (target condition) and read the noun (non-target condition), in the second, to classify the noun and read the attribute. This allowed us to assess the restructuring of information processing when changing the task within a phrase, as well as to compare the processing of the word in the first and second positions in the target and non-target conditions. Using the 21-channel Neuron-Spectrum-4/VPM electroencephalograph (Neurosoft, Russia), event-related potentials (ERPs) obtained during the response to presented stimuli were recorded. Results. No differences were observed in attribute processing between the target and non-target conditions when tasks changed. For nouns, differences were revealed in ERP components between the target and non-target conditions. There was a more pronounced peak of the P200 component, a less pronounced peak of the N400 and a late negative wave of the N700 component during the categorization of nouns compared to their passive reading. Thus, when performing different tasks within a phrase, the brain changes the nature of verbal information processing, which is manifested in strengthening early lexical access, followed by the facilitation of lexico-semantic processing and activation of cognitive control mechanisms at the latest stages during the categorization of the second word in a phrase (noun) compared to its passive reading.

Spinal articulation exercise using an exercise ball enhances dynamic postural control

PurposeWe hypothesized that exercises that selectively utilize local muscles responsible for segmental movements of the spine might promote local muscle activity and dynamic postural balance. In this study, we examined the effects of selective local muscle exercises (spinal articulation exercise) on dynamic postural control in healthy subjects. MethodsThe effects of spinal articulation exercise were examined using a deflated exercise ball for the postural sway in healthy students who were assigned to an exercise or control group. The independent variable was the extent of exposure to selective local muscle exercise, and the dependent variable was dynamic postural control. A stabilometer, which measures dynamic postural control, was used to evaluate the effectiveness of the exercises. In addition, center of gravity movements were assessed using a Gravicorder G-620 stabilometer in which the subject was asked to shift their center of gravity between 2 circles on a computer monitor. Pre- and post-intervention dynamic postural control was statistically evaluated between the exercise group and control group using the Mann-Whitney test. ResultsThe post-intervention average COUNTS were significantly higher in the exercise group than in the control group (p = 0.003, r = 0.78). ENV. AREA was significantly smaller in the exercise group than in the control group (p = 0.036, r = 0.54). Furthermore, LNG/COUNTS were significantly smaller in the exercise group than in the control group (p = 0.024, r = 0.58). ConclusionsSpinal articulation exercise may be used to enhance the dynamic postural balance of healthy young adults.

A novel MXene coated liquid crystal display anode derived from a futile computer monitor for microbial fuel cell application

A Ti3C2Tx MXene nanosheet-coated liquid crystal display (LCD) anode is meticulously crafted through precision waterjet cutting, salvaging a discarded LCD monitor. This technique, preserving structural integrity and enhanced electrical conductivity, sets it apart from conventional methods. The resulting MXene-coated LCD anode is well-suited for microbial fuel cell (MFC) applications. Comparative assessments against costlier carbonaceous electrodes like graphite felt and carbon cloth, emphasize that the water-jet cut LCD anode with Ti3C2Tx MXene coating is 3.79 and 2.51 times more cost-effective, with an approximate total cost of $38/m2. Substituting Ti3C2Tx MXene-coated LCD for carbon cloth and graphite felt anodes reduces MFC unit fabrication costs by 19 and 10.45 %, respectively. Notably, the Ti3C2Tx MXene LCD anode-based MFC unit boasts a power density per unit cost of 0.008 W/m2/$, underscoring economic viability. This research highlights waterjet cutting's pivotal role in crafting Ti3C2Tx MXene LCD anodes, opening avenues for scalable, cost-effective electrode production in renewable energy applications.

MIRROR MAGIC: REFLECTING INNOVATION FOR EVERYDAY CONVENIENCE USING RASPBERRY PI

Smart is not an adjective anymore, Now it is an used for anything that improves functioning in multi-device environment, by simplifying our daily tasks by speeding up the information flow and allowing us to do incredible tasks in the twinkling of an eye. A smart mirror is a two-way with an electronic display behind the glass. The display can show the viewer different kinds of information in the form of widgets, such as weather, time and date and news updates. This project would be useful for busy individuals that want to multitask and stay informed while on the go.The basic design of smart mirror starts with two-way glass is the recommended types as it lets the graphics on the display come through clearer. Upon uploading the code to the device from android studio, all the prototypes and design that we have installed in the design module will be displayed. The electrical component to our project was a simple 19mm Computer monitor mounted to the back of the see through glass. In addition to, installation of PIR on and off sensor to different motion atmospheres is added. And an LED strip around the smart mirror comes with multiple luminosity levels from cool to warm light. The Google voice assistant feature has been implemented to control device with spoken commands. All of this works with Raspberry pi 3 A+ model which is a single board computer. To install the raspbian OS a micro SD card is needed prepared with an OS image all that will be running on the mirror will be coded on the same device at least a keyboard, mouse are required. One mode of interaction with smart is through the microphones. All the coding are written in python which most popular in the Raspberry pi community and it has all the libraries Mirror OS is the software we created for the smart mirror’s interface and it runs on the Raspbian (LINUX) ontop if the electron. The device must be connected to the Wi-fi in order to gather the data through online services.When every device such as phone, watch, TV, speaker has their smart versions, it doesn’t come as a surprise that mirrors they become smart too. KEYWORDS: IOT, PIR, RASPBERRY-PI, RASPBIAN OS, LINUX

Comparison of Neck Pain and Posture with Spine Angle Tracking System between Static and Dynamic Computer Monitor Use

This study investigates the effect of dynamic changes in monitor height and tilt on neck pain and posture of computer users. Using a wearable device, we aim to compare neck pain and spine angle between static and dynamic monitors. A spine angle tracking system using the Inertial Measurement Unit (IMU) was proposed, and the accuracy was validated. Eight office workers participated for five hours over two days, and each day used either a static monitor or a dynamic monitor that changed height and tilt every 30 min. The angles of C0, C7, L1, and S1 endplates were estimated using the proposed system. Changes in neck pain and spine angle with time were compared in static and dynamic monitors. The intraclass correlation coefficient confirmed a high concordance between the estimated and actual angles (p &lt; 0.001). Rehabilitation Bioengineering Group (RBG) score increased less in the dynamic monitor compared to the static monitor (p = 0.003). Spinal curvatures are bent in the static monitor compared to the dynamic monitor. The estimated angles aligned well with X-ray measurements. A dynamic monitor that changes height and tilt at regular intervals may reduce neck pain increase and reduce bend forward posture compared to a static monitor.

Using the method of nonlinear recursive analysis for detecting DDOS anoma-lies in time series data

This research endeavors to address this gap by determining a qualitative char-acteristic for server network traffic and use it to construct the corresponding recur-rence plot (RP). The goal of this study is to develop and assess a novel technique based on nonlinear recursive analysis to detect Distributed Denial of Service (DDoS) anomalies in network traffic time series data. With the increasing frequency of DDoS attacks on modern digital infrastructures, there is a pressing need for more efficient and accurate detection methods. There has been some attempts to apply nonlinear analysis to network traffic [2-4], but those studies lack critical steps in determining parameters for embedding space dimension and delay time . More recent studies have explored machine learning and deep learning approaches [7], which offer improved accuracy but can be computationally intensive and require extensive training data. Despite the advance-ments, there remains a need for a method that is both accurate and efficient, espe-cially in real-time detection scenarios. The researchers employed nonlinear recursive analysis by estimating RQA pa-rameters and determining a qualitative characteristic of data points of DDoS attack contained in CIC-IDS2017 dataset. A technique for determining hidden information for this series and its use for constructing the corresponding recurrence diagram (RP) at the points of information retrieval are described. It is shown that the use of RP has significant drawbacks associated with the visualization of information on a computer monitor screen, so another way of research is proposed - the calculation of numerical indicators of RP The given calculated RP indicators made it possible to typify the received data and determine the type, which was named "DDOS-RP", which makes it possible to distinguish some types of DoS/DDoS type attacks. The study concludes by recom-mending further exploration of this method in diverse network environments and against more complex DDoS attack patterns.

The Freiburg Acuity Test in Preschool Children: Testability, Test-Retest Variability, and Comparison With LEA Symbols.

To determine the testability, performance, and test-retest variability (TRV) of visual acuity (VA) assessment using the Freiburg Visual Acuity Test (FrACT) compared to the LEA Symbols Test (LEA) in preschool children. In 134 preschool children aged 3.0 to 6.8years, monocular VA of each eye was measured twice with a four-orientation Landolt C version of the FrACT and once with the LEA. FrACT runs were preceded by a binocular run for explanatory purposes. Test order alternated between subjects. Optotypes were presented on a computer monitor (FrACT) or on cards (LEA) at a distance of 3 m. Overall, 68% completed the FrACT (91/134 children) and 88% completed the LEA (118/134 children). Testability depended on age: FrACT, 19% (<4years) and 87% (≥4years); LEA, 70% (<4years) and 95% (≥4years). Mean ± SD VA difference between tests was 0.11 ± 0.19 logarithm of the minimum angle of resolution [logMAR], with LEA reporting better acuity. The difference depended on age (0.27 ± 0.23 logMAR [<4years], 0.09 ± 0.18 logMAR [≥4years], P<0.001) and on test sequence (higher age dependence of FrACT VAs for LEA first, P<0.001). The 95% limits of agreement for the FrACT TRV were ±0.298 logMAR. The examiner-independent FrACT, using international reference Landolt C optotypes, can be used to assess VA in preschool children aged ≥4years, with reliability comparable to other pediatric VA tests. Use of the automated FrACT for VA assessment in preschool children may benefit objectivity and validity as it is a computerized test and employs the international reference Landolt C optotype.

Utilizing virtual reality before, versus during, the COVID-19 pandemic

As the COVID-19 pandemic abruptly pushed interior design (ID) instruction online, instructors were challenged to adapt, and students adapted a new method of virtual reality (VR). The VR method before COVID-19 was a Homido V2 VR headset with iPhone viewing 360-degree panorama jpeg, and during COVID-19 a liquid crystal display (LCD) computer monitor viewing 360-degree panorama jpeg. The purpose of this study was, if a statistically significant difference (SSD) in spatial presence was found between the two types of VR, then an argument could be supported to evaluate spatial presence, before VR is implemented into ID curriculum. This study was at one Midwestern United States university with a sample (N = 52) of ID undergraduate students. The results revealed an SSD in the spatial presence in the aforementioned VR types. This SSD was found in two of the three dependent variables: Spatial Presence: Possible Action (SPPA; U = 772, p < 0.001), example survey question feeling you could jump into the action, and Spatial Presence: Self Location (SPSL; U = 789, p < 0.001), example feeling you are in the middle of the action. The third dependent variable, Spatial Situation Model (SSM; U = 1320, p = 0.834) did not reveal an SSD, example imagining the arrangement of the spaces. To support results, the Virtual Reality Spatial Presence Index (VRSPI) applied scored neutral (neither strong, nor weak) for spatial presence in both. This study filled research gaps on VR spatial presence measurement, with implications supporting a measurable advantage in ID students using VR headsets and ID curriculum developers evaluating VR before implementation.

Operation of a virtual keyboard based on EMG Signals

We demonstrate the operation of a virtual keyboard utilizing electromyography signals derived from finger movements. Initially, we identify human arm surfaces corresponding to specific finger motions, where EMG sensors are subsequently placed. The raw EMG signals obtained from our setup undergo filtration using a custom-made electric circuit. A LabVIEW program is employed to measure and manage these EMG signals. Following the conversion of analog signals to digital format, the data is inputted to an Arduino board, which then displays the corresponding letters from the virtual keyboard onto a computer monitor. The success of this demonstration is contingent upon a training session adhering to the established protocol.

Competing Visual Cues Revealed by Electroencephalography: Sensitivity to Motion Speed and Direction.

Motion speed and direction are two fundamental cues for the mammalian visual system. Neurons in various places of the neocortex show tuning properties in term of firing frequency to both speed and direction. The present study applied a 32-channel electroencephalograph (EEG) system to 13 human subjects while they were observing a single object moving with different speeds in various directions from the center of view to the periphery on a computer monitor. Depending on the experimental condition, the subjects were either required to fix their gaze at the center of the monitor while the object was moving or to track the movement with their gaze; eye-tracking glasses were used to ensure that they followed instructions. In each trial, motion speed and direction varied randomly and independently, forming two competing visual features. EEG signal classification was performed for each cue separately (e.g., 11 speed values or 11 directions), regardless of variations in the other cue. Under the eye-fixed condition, multiple subjects showed distinct preferences to motion direction over speed; however, two outliers showed superb sensitivity to speed. Under the eye-tracking condition, in which the EEG signals presumably contained ocular movement signals, all subjects showed predominantly better classification for motion direction. There was a trend that speed and direction were encoded by different electrode sites. Since EEG is a noninvasive and portable approach suitable for brain-computer interfaces (BCIs), this study provides insights on fundamental knowledge of the visual system as well as BCI applications based on visual stimulation.