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.

The invention discloses a wheelchair mechanical arm integrated system based on electrooculography and machine vision, which comprises an EOG (electrooculogram) acquisition amplifier, a graphical userinterface, a multi-eye movement EOG signal detection and identification unit, a target object detection unit, a comprehensive identification unit and an execution unit; the invention also discloses awheelchair mechanical arm integrated control method based on electrooculography and machine vision; in a human-machine interface instruction output mode based on two eye movements disclosed by the invention, at the premise that interference caused by unconscious eye movements is eliminated, average response time for generating an instruction is shortened to about 2 seconds, a user can output 14 different instructions through eye movements, and the accuracy can reach 97.3% on average while the accuracy of the conventional wheelchair control technology based on electrooculography is up to 80%; compared with the existing human-machine interface based on EOG, this mode has greatly improved performance; human brain intelligence reflected by electrooculogram is combined with machine intelligence, so that the control accuracy is guaranteed, and the operating load of a user is reduced.

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.

The invention relates to a rapid psychological adjustment intelligent system based on deep learning, and belongs to the technical field of intelligence. The system comprises a client and a server in network connection with the client, wherein the client is provided with a login module, a stress scale module, a therapist summarizing module, a help seeker summarizing module, an eye movement desensitization treatment module, a curative effect evaluation module and an online printing module, and the server is provided with a data storage module. According to the embodiment of the invention, the client and the server which are in network connection are arranged; an eye movement desensitization psychological counseling treatment scheme is stored in the server; and a problem input interface is arranged at the client, and a semantic function module searches and calls the corresponding eye movement desensitization treatment scheme from the server, so that the whole psychological consultation treatment process of a user is autonomous and intelligent, the consultation treatment process is autonomously controlled by the user, and the treatment process is simple, intelligent and easy to operate.

The invention provides a neural network-based magnetoencephalogram eye movement artifact detection and a elimination method and an electronic device. The method comprises the following steps: cuttinga to-be-detected magnetoencephalogram signal, and drawing a plurality of magnetoencephalogram signal views according to a signal segment and a magnetoencephalogram sensor detection signal position; extracting signal space distribution characteristics of the magnetoencephalogram, and classifying the signal space distribution characteristics; obtaining an eye movement signal interference segment according to a fixed ratio and the eye movement electrooculogram signal segment at the corresponding time point of the magnetoencephalogram signal segment containing the eye movement artifact noise signal; subtracting the magnetoencephalogram signal segment containing the eye movement artifact noise signal from the eye movement signal interference segment, and restoring the obtained signal segment with removed the eye movement artifact noise signal to a corresponding position. According to the invention, the electrooculogram signal measured by an electrode is not needed during detection, and themagnetoencephalogram signal that is not influenced by the electrooculogram signal is not interfered during elimination, so that the information in the original magnetoencephalogram signal can be reserved to the maximum extent.

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 a vestibular ocular reflex recording method for autism spectrum disorder children. The vestibular ocular reflex recording method is characterized in that a first 980nm laser sensor and a second 980nm laser sensor are arranged at the left front part and the right front part of the left side and the right side of a glasses support respectively; a laser beam emitted by the second 980nm laser sensor is incident to the left eye through a beam expanding lens, and a 10-degree angle is formed between the light and an eyeball; a laser beam emitted by the first 980nm laser sensor enters the right eye through the beam expanding lens, and an angle of 10 degrees is formed between the light and an eyeball; and the first 980nm laser sensor is used for measuring the vestibular ocular movement of the right eyeball. Vestibular ocular movement amplitude, frequency and phase of eyeballs are determined through a function relation between eyeball displacement components in the light propagation direction and eyeball displacement, so that vestibular ocular reflex of the autism spectrum disorder children is rapidly recorded. According to the method, the vestibular ocular reflex of the autism spectrum disorder children can be rapidly recorded through a set of glasses type laser sensors, and the vestibular ocular reflex detection efficiency and accuracy of the autism spectrum disorder children are improved.

The present application discloses an eye movement desensitization reprocessing intervention system and a method thereof. The eye movement component in the eye movement desensitization reprocessing intervention system is used to output preset audio information. The physiological index information collection instrument is used to collect the physiological index information of the user. The processor is configured to acquire the user's relaxation level according to the physiological index information. The eye movement component is used to output the eye movement instruction and the first preset question when the relaxation level satisfies the first preset condition, and obtain the eye movement information performed by the user according to the eye movement instruction and the first answer to the first preset question. Feedback. The processor is used to judge whether the user's eye movement meets the eye movement requirements according to the eye movement information, and obtain the negative memory evaluation and the positive memory evaluation according to the first feedback information when the requirements are met, and when the negative memory evaluation meets the second preset condition It is determined that the desensitization is completed, and when the positive memory evaluation satisfies the third preset condition, it is determined that the implantation is completed, and an evaluation report for the user's treatment is generated.

The invention provides a pilot vestibular function training system, and belongs to the technical field of vestibular system training. The system comprises a swivel chair host and an upper computer, wherein a user can accurately control the rotating direction, the rotating duration and the rotating speed of a servo motor on the upper computer through the pilot vestibular function training system, the servo motor drives a chair to rotate by 360 degrees parallel to the horizontal ground through a rotating shaft, four persons can be contained for simultaneous training, the rotating radius and the pitching angle of the chair can be adjusted, the chair is matched with swing motion of the head of a pilot, vestibular sensation stimulation for triggering body rotating illusion and Coriolis illusion can be provided for the pilot, and the vestibular illusion endurance capacity of the pilot is improved. Meanwhile, a physiological data acquisition system can acquire brain activity data, heart rate data and eye movement data of all pilots under the same motion parameter, and the data can be used for researching the influence of vestibular sensation stimulation on human physiology.

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 discloses a head-mounted electro-oculogram control intelligent wheelchair and a control method thereof.The intelligent wheelchair comprises a head-mounted device and a wheelchair end device, and a signal collection module in the head-mounted device collects electro-oculogram signals in real time, preprocesses the electro-oculogram signals and converts the electro-oculogram signals into digital signals in an analog-to-digital mode; the feature extraction and recognition module performs feature extraction and recognition to obtain eye movement information, and sends the eye movement information to the processing control unit; the processing control unit recognizes a control intention of a user according to a control discrimination algorithm and sends a control instruction to a motion execution mechanism in the wheelchair end equipment; a motor in the motion execution mechanism drives the wheelchair body to execute corresponding control actions according to the received control instruction; the rechargeable battery supplies power to the head-mounted device and the wheelchair end device. Through the head-mounted device convenient for the user to wear, the user can operate the intelligent wheelchair to move in real time through eye movement instead of fingers, two hands are liberated, and the intelligent wheelchair can adapt to more application occasions.

The invention provides a psychological health state eye-movement feedback device. The device comprises: a fixing plate, the fixing plate is fixedly mounted on the upper part of a workbench, the fixingplate still includes axle sleeves, first threaded rods, spacing sliding columns, clamping plates and sliding rails. According to the invention, a cranking bar on a right-side driving mechanism is manually rotated to make a first threaded cylinder drive an eye tracker main body to move forward and backward through a sliding seat under the action of threads, then a cranking bar on a left-side driving mechanism is manually rotated to make a second threaded cylinder drive a computer display screen to move forward and backward through a mounting seat under the action of threads, after the adjustment is finished, the rotations of the two driving mechanisms are stopped, and the two driving mechanisms are respectively in threaded connection with the first threaded cylinder and the second threadedcylinder, so that the adjustment of the distance between the eye tracker main body and the computer display screen is more convenient, the accuracy is better, and the reliability of the desktop typeeye tracker during adjustment is improved.

The invention provides a method for realizing a virtual mouse by combining an eye tracker and an asynchronous motor imagery technology. The method comprises the following steps: S1, realizing a moving function of the mouse through an eye movement signal: collecting a visual track of a user in real time through the eye tracker to obtain a coordinate of an eye movement fixation point of the user, performing data processing on the coordinates of the eye movement fixation point of the user, and establishing association between the pointer position of the virtual mouse and the visual track of the user to realize the moving function of the virtual mouse; S2, realizing a left and right key clicking function of the mouse through motor imagery: a user imagines actions associated with the left and right keys, and realizes the left and right key clicking function of the mouse by decoding the brain wave signal of the motion area. According to the method, the eye tracker and the asynchronous motor imagery technology are combined to realize target selection of the virtual mouse, so that a user can realize remote control on a computer only by eyes and brain without taking any action.

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.