34 results about "Ocular motor" patented technology

Ongoing research and development on Stereoscopic 3D Camera rigs has led to certain new and unique improvements, including a trapezoidal beam-splitter mirror, a beam-splitter mirror that is facing downwards, a stereoscopic platform that can be inverted 180°, an optical wedge for vertical field-of-view refraction compensation, a single inter-ocular motor with dual rack-and-pinion gear system, dual convergence motors on worm gears, a convergence rotation under first-nodal point, and an electronics control mounted under the mirror.

Contrast sensitivity is an informative measure of visual function, but current tools for assessing it are limited by the attentional, motor, and communicative abilities of the participant. These participants are often less able to engage with psychophysical tasks or follow an experiment's instructions, and alternative approaches have disadvantages that limit their usefulness in clinical settings. Here, we describe an efficient new measure of contrast sensitivity—‘Curveball’—that continuously infers stimulus visibility through smooth eye tracking instead of perceptual report. The procedure rapidly lowers stimulus contrast in real time until the threshold is found. The task is repeatable, well-correlated with results from conventional psychophysical methods, and sensitive to improvements in visual acuity from refractive correction. The procedure requires minimal instruction to administer and takes only five minutes to estimate a full contrast sensitivity function (CSF), which is comparable to the best existing methods available for healthy adults. Our technique relies on a minimum level of smooth tracking ability, which could limit its usefulness for participants with specific visual impairments, and we discuss potential solutions to this problem. Overall, our findings indicate that Curveball is a promising means of accurately assessing contrast sensitivity in previously neglected populations.

A method to measure gaze tracking behavior comprising, displaying, on a display, one or more variable-contrast, variable-spatial-frequency stimuli each moving from a first location to a second location. Generating ordered sequences of stimuli (“sweeps”) that are incremented upon detected tracking behavior. Generating, by an eye-tracking monitor, a gaze position signal as the visual stimulus moves from the first position to the second position, the gaze position signal detecting a position of one or both eyes. Filtering the gaze position signal by identifying gaze position samples that are not consistent with the limitations of the human eye and/or visual system. Calculating a trajectory-match score for each stimulus on each frame from comparison of that stimulus's position to the gaze position signal over a time window. Identifying the visual function of the subject in response to the trajectory-match scores. Wherein the variable-contrast stimulus increases in contrast. Wherein the variable-contrast stimulus decreases in contrast. Wherein the variable-contrast stimulus alters in a step-wise manner by multiplying the current contrast by a variable between 0.5-1.5 on each frame. Wherein the variable-contrast stimulus is exchanged for the next stimulus in that sweep sequence. Wherein indirect progress along similar sweeps is inferred and recorded. Interpolating a contrast sensitivity function (CSF) from a set of one or more sweep sequences. Detecting, empirically, the subset of one or more sweep sequences that is most informative about the CSF for a given population.

A visual therapy system is provided that includes a computer, a projector, a display, and input devices, including a head sensor remote, a sensor bar, a balance board, hand controlled remote, and a head sensor. The system uses an interactive interface and blue tooth software that combines remotes, an interactive balance board and infra-red head sensors. The system provides specialized therapy modules which may be based on the concept of Top Down Processing and may be designed to enhance ocular motor control, visuomotor and binocular performance while integrating vision, auditory, proprioception, balance and visuomotor control.

The invention discloses a multi-mode immersive synchronous acquisition system based on eye movement tracking and brain function activity detection. The multi-mode immersive synchronous acquisition system includes VR display equipment, the VR display equipment is internally provided with a display module, an eye movement acquisition module, a brain blood oxygen acquisition module and a communication module, the eye movement acquisition module is used for collecting tested eye images, the brain blood oxygen acquisition module is used for collecting a brain oxygen signal of a tested head, and theVR display equipment, the eye movement acquisition module and the brain blood oxygen acquisition module respectively realize data transmission and clock synchronization with external terminal equipment through the communication module. According to the multi-mode immersive synchronous acquisition system, the VR display equipment with virtual immersion experience is adopted in the whole acquisition system, in the whole process of testing and data collection, the interference of the external environment on tested personnel can be completely avoided, meanwhile the multi-mode immersive synchronous acquisition system takes into account simultaneous acquisition of eye movement and the brain blood oxygen signal, data transmission is conducted through the communication module directly with the external terminal equipment, and a clock synchronization mode is adopted to solve the synchronization problem of real-time characteristics and multi-mode signals.

The invention discloses a method for evaluating difference of risk perception ability of an electrician operating personnel. At present, there is no method suitable for evaluating the risk perception ability of electricians. The invention discloses an electrician worker risk perception capability difference evaluation method. The method comprises the following steps: collecting eye movement characteristics of a tested person during risk search in different working environments; on the basis of the previous step, obtaining the sensitivity degrees of the testee in different danger types; determining eye movement characteristics of the tested person in risk search under different demographic characteristics; performing data processing on the acquired eye movement data; and determining a data set of a risk perception prediction model. Therefore, the eye movement data and the risk perception ability are combined, the difference of the risk perception ability is quantified by using the eye movement data, and the risk perception ability of the operator is identified. Through the technical means of risk perception difference analysis and the risk perception capability prediction model, the risk perception capability evaluation of the electrician operation personnel is realized.

The invention relates to a brain-controlled gait training system and method for Parkinson's disease. The system comprises an electroencephalogram signal acquisition device, an electroencephalogram signal analysis device, an eye movement data acquisition device, an eye movement data analysis device, a limb movement acquisition device, a task paradigm processor and a presentation device, wherein theelectroencephalogram signal analysis device calculates related electroencephalogram characteristic data by utilizing electroencephalogram signals acquired by the electroencephalogram signal acquisition device; the eye movement data analysis device is used for calculating and recording related eye movement characteristic data by utilizing eye movement data acquired by the eye movement data acquisition device; the limb movement acquisition device acquires limb movement data of a patient; and the task paradigm processor performs comprehensive processing according to the characteristic data and the limb movement data, and processed data is output by the presentation device. Through rhythmicity prompt-based gait training task paradigm guidance and closed-loop feedback of electroencephalogram and eye movement characteristics, the patient completes imagination and movement training of coordinated movement of upper and lower limbs and realizes strengthening of limb movement and rhythmicity prompt information in the brain, so the walking function of the patient with Parkinson's disease is improved.

The invention discloses an automobile driver brain visual load evaluation method and system based on a subtask, which belong to the technical field of brain load measurement. The problem that the brain load of the driver cannot be objectively evaluated in real time in the prior art is solved. The automobile driver brain visual load evaluation method based on a subtask comprises the following stepsthat when a simulated rear automobile and an automobile where a driver is located move in the same direction, and when the interval between the simulated rear automobile and the automobile where thedriver is located reaches a set threshold value, whether the driver makes the automobile decelerate or accelerate or not is judged; according to whether the action of decelerating or accelerating thevehicle is carried out or not and the reaction time under the condition of carrying out the action of decelerating or accelerating the vehicle, whether the time used by the simulated vehicle, the eyemovement angular velocity and the color of the simulated vehicle are correctly recognized or not is found, and the brain load of the driver is evaluated. According to the method, the brain load of thedriver can be objectively evaluated in real time.

An ocular motor controller for preventing an image blur by using the principle of vestibulo-ocular reflex in response to translational movement. The ocular motor controller comprises an image pickup section (20) used as an ocular device, an ocular drive section (30) for rotating the image pickup section, a distance information acquisition section (40) for acquiring information concerning the distance from the image pickup section (20) to a visual target (1), a translational movement sensor (50) for measuring the variation due to the translational movement of a moving object, and a correction section (60) for utilizing the rotational movement driven by the ocular drive section. The correction section (60) cancels the variation due to the translational movement measured by the translational movement sensor (50) and corrects the rotation by the ocular drive section (30) by using the acquired distance information on the distance to the visual target (1) and variation information on the variation due to the translational movement so as to fix the image pickup position of the visual target (1).

The invention relates to the field of automobile driving safety, and discloses a method for constructing a driving behavior safety evaluation model based on a real automobile test, and the method comprises the implementation steps: collecting eye movement information, automobile operation information, radar information and lane line information of a driver during the driving process of an automobile on a test road section; calculating a numerical value of each driving behavior safety evaluation index characterization quantity; and taking the calculated characterization quantity value as an index, calculating the weight of the characterization quantity value, and finally obtaining a driving behavior safety evaluation model. According to the method, numerical evaluation is carried out on the driving behavior safety of the driver by utilizing the real vehicle test data, the evaluation result has the advantages of visualization and comparability, and the driving behavior safety of the driver in the conventional driving process can be reflected better. Meanwhile, common dangerous driving behaviors of the driver in the driving process can be known according to the numerical value of the characterization quantity of each evaluation index, and the method is of great significance in improving the driving habit of the driver and reducing traffic accidents and traffic violation.

The invention discloses an effective fixation point detection method and device, electronic equipment and a storage medium. The method comprises the steps that original model training is carried out based on collected eye movement information, an effective fixation point detection model is obtained, and a speed threshold value used for determining an effective fixation point in the effective fixation point detection model is adaptively adjusted according to information input into the effective fixation point detection model, the collected eye movement information comprises a position sequence and a time sequence; the effective fixation point detection model obtains an effective fixation point corresponding to the eye movement information based on the collected eye movement information; and aggregating the effective fixation points to obtain aggregated effective fixation points. By utilizing the method, the detection of the effective fixation points corresponding to the eye movement information can be realized according to the established effective fixation point detection model, and meanwhile, the effective fixation points are aggregated to obtain the aggregated effective fixation points, so that the detection accuracy of the effective fixation points is improved.

The invention discloses a control method of an automatic lifting device for auxiliary disassembly and assembly of a mutual inductor in a box transformer substation, the control method comprises tongue electric signal control and eye electric signal control, and the tongue electric signal control uses a BP neural network to identify tongue electric signals of a human tongue in different states so as to control the lifting of the lifting device; the eye electric signal control comprises the following steps: firstly, recognizing an eye movement signal through Pearson correlation analysis, and secondly, fitting a local slope of the signal so as to identify a left eye movement signal and a right eye movement signal to control the left and right movement of the automatic lifting device. The lifting and left-right movement of the automatic lifting device are controlled by recognizing human body physiological signals, in the narrow space of the box transformer, one person can disassemble and assemble large components such as a mutual inductor in the box transformer, assistance of other operators is not needed, labor force is saved, the recognition degree is high, the system is easy to establish, the method is easy to implement. The automatic lifting device has the advantages of being scientific, reasonable, high in applicability and the like.

The invention relates to a multi-angle eye movement control improvement device based on auditory feedback, which comprises a sitting assembly for a child patient to sit, and a first fixing assembly for fixing the hand of the child patient is arranged on the sitting assembly. According to the multi-angle eye movement control improvement device based on auditory feedback and the use method thereof, through cooperative use of the sitting and standing assembly, the first fixing assembly, the third fixing assembly and the information feedback mechanism, when the device is used, firstly, a child patient is placed on the sitting and standing assembly; under the action of the first fixing assembly, the second fixing assembly and the third fixing assembly, the hands, the feet and the body of a child patient can be protected and fixed, then the sitting and standing assembly rotates and slides to activate the vestibular sense of the child patient, an information feedback mechanism is arranged, the eye movement condition of the child patient is observed, and the eye movement of the child patient is evaluated and improved; according to the technical scheme, through the coherent and compact structure, the problem that how to activate the vestibular sense of a child patient to improve eye movement control is lacked in the prior art is solved.

The invention provides a data processing device, a monitoring system, an awakening system, and a data processing method, which are capable of enhancing calculation accuracy of vestibulo-ocular reflexmovement in a real environment. The data processing device that performs data processing of monitoring a person, the data processing device includes: a calculator configured to calculate pupil movement and head movement of the person; an evaluator configured to evaluate a suitability degree of a situation in calculating vestibulo-ocular reflex movement based on the pupil movement and the head movement of the person; a provision unit configured to provide the suitability degree evaluated by the evaluator to data relating to the pupil movement and the head movement of the person calculated by the calculator; and a reflex movement calculator configured to calculate the vestibulo-ocular reflex movement of the person based on the data in consideration of the suitability degree.

The invention discloses a semi-virtual cockpit construction method based on a dynamic man-machine interface, and belongs to the technical field of calculation, reckoning or counting. According to the method, the manipulators except the large manipulators and the touch elements are integrated on the dynamic man-machine interface, the movement of the dynamic man-machine interface is controlled through the virtual reality technology and the servo driving technology, the visual information of the virtual cockpit and the visual information of the virtual hand are presented to a driver, and the action information and the eye movement information of the driver manipulating the target element are collected; the target element is predicted according to the action information of the driver operating the target element and the eye movement information of the driver, the dynamic man-machine interface is moved according to the position information of the target element in the simulated cockpit until the target element reaches the position of the simulated cockpit, and dynamic configuration of the man-machine interface of the cockpit is achieved. The aim of effectively arranging the cockpit is achieved in a mode of combining the virtual reality technology and an electromechanical servo mechanism.