阅读说明：本技术 一种人体抗视觉眩晕能力评测与训练系统 (Human body visual vertigo resistance evaluating and training system ) 是由 任海川 李金宝 李腾飞 石启伟 刘旋 陈雄 于 2021-09-27 设计创作，主要内容包括：本发明公开了一种人体抗视觉眩晕能力评测与训练系统,包括测试数据采集单元、数据处理与显示单元、人机交互单元；测试数据采集单元可获取受试者的人体压力中心轨迹信息以及人体脑电原始数据信息,基于蓝牙通信发送给数据处理单元；数据处理与显示单元可记录受试者的测试数据,利用机器学习算法并结合医学视觉眩晕模拟量表进行信息融合,给出受试者抗视觉眩晕能力评测结果并在上位计算机中显示；基于VR头盔与Unity设计的人机交互单元,可为受试者提供高沉浸感视觉眩晕场景,实现人体抗视觉眩晕能力的评测,在评测结束后,根据受试者在每个场景的评测结果,可以选择是否进行针对性训练。本发明简单易用,具有良好的市场推广价值。(The invention discloses a human body visual vertigo resistance evaluating and training system, which comprises a test data acquisition unit, a data processing and displaying unit and a human-computer interaction unit, wherein the test data acquisition unit is used for acquiring a test data; the test data acquisition unit can acquire the human body pressure center track information and the human body electroencephalogram original data information of a subject and send the information to the data processing unit based on Bluetooth communication; the data processing and displaying unit can record the test data of the testee, perform information fusion by using a machine learning algorithm and combining with a medical visual vertigo simulation scale, give an evaluation result of the visual vertigo resisting capability of the testee and display the evaluation result in an upper computer; the human-computer interaction unit designed based on the VR helmet and the Unity can provide high-immersion visual vertigo scenes for a subject, so that the visual vertigo resistance of the human body can be evaluated, and after the evaluation is finished, whether targeted training is performed or not can be selected according to the evaluation result of the subject in each scene. The invention is simple and easy to use, and has good market popularization value.)

1. A human anti-visual vertigo ability evaluating and training system is characterized in that: the system comprises a test data acquisition unit, a data processing and display unit and a human-computer interaction unit;

the test data acquisition unit is used for acquiring human body central data and human body electroencephalogram original data information and sending the two data information to the data processing and displaying unit through the Bluetooth module;

the data processing and displaying unit is used for respectively calculating the human body central track of the testee and the power spectral density ratio of each frequency band of the human body electroencephalogram original data from the received human body central data and the received human body electroencephalogram original data, performing information fusion by using a machine learning algorithm, establishing an evaluation classification label by referring to an vertigo degree evaluation method in the medical vision vertigo analog scale, giving an anti-vision vertigo capability evaluation result of the testee, and displaying the evaluation result in an upper computer;

the human-computer interaction unit is used for receiving the virtual vertigo scene which is designed based on the medical vision vertigo analog scale and sent by the data processing and display unit, and displaying the virtual vertigo scene in the VR helmet.

2. The system for evaluating and training the anti-visual vertigo capability of a human body according to claim 1, wherein: the test data acquisition unit comprises a force measuring platform, a guardrail arranged around the force measuring platform, four pressure sensors distributed at four corners of the force measuring platform, a single-lead brain sensor and two foot plates driven by 4 linear motors respectively on the force measuring platform, wherein each pressure sensor outputs digital quantity of the pressure sensor through an analog-to-digital conversion module carried by a single chip microcomputer, the single chip microcomputer is used for resolving input analog signals into human body central data and sending the human body central data to the upper computer through the Bluetooth module, the single-lead brain sensor mainly has the functions of acquiring human body brain wave signals in real time and performing waveform analysis feedback, the acquired data are transmitted to the upper computer through the Bluetooth module in real time, and the two foot plates driven by 4 linear motors on the force measuring platform can greatly simulate a test subject standing, The visual vertigo resistance performance evaluation and training method is used for the scenes of lifting escalators, stepping, walking, climbing steps and the like so as to achieve the purpose of evaluating and training the visual vertigo resistance performance under static and dynamic conditions.

3. The system for evaluating and training the anti-visual vertigo capability of a human body according to claim 1, wherein: the human-computer interaction unit comprises a VR helmet and the host computer, and the VR helmet receives a virtual visual vertigo scene which is transmitted by the host computer and designed based on the medical visual vertigo simulation scale, and is used for simulating visual vertigo stimulation to a human body.

4. The method for evaluating the capability of resisting visual vertigo of human body according to claim 1, wherein: the data processing and displaying unit respectively calculates human body pressure center track information and human body electroencephalogram power spectral density information of the testee according to the human body center data and the human body electroencephalogram original data sent by the measurement data acquisition unit, the two kinds of information are made into evaluation labels according to the vertigo degree evaluation standard in the visual vertigo analog scale, the evaluation labels are divided into three types and respectively correspond to the excellent grade, the good grade and the poor grade of the visual vertigo resisting capability of the testee, the two kinds of information are placed into a machine learning model for training by using a machine learning algorithm, and finally, the trained model is used for giving the evaluation result of the visual vertigo resisting capability of the testee and displaying the evaluation result in the upper computer.

5. The method for training the ability of a human body to resist visual vertigo, according to claim 1, wherein: after the anti-visual vertigo capability is evaluated, aiming anti-vertigo training is carried out on scenes with poor anti-visual vertigo capability display and evaluation results of the human body according to different evaluation results obtained from virtual vertigo scenes which are designed based on a medical visual vertigo analog scale and are easy to cause visual vertigo of the human body, such as crossroads, cinemas, supermarkets, escalators and the like.

Technical Field

The invention relates to the field of human body visual vertigo resistance evaluation, in particular to development and design of a human body visual vertigo resistance evaluation and training system.

Background

Visual vertigo refers to subjective and fluctuating vertigo symptom caused by intolerance to spatial location and exercise environment and high sensitivity to exercise stimulus and complex visual stimulus. The visual vertigo feeling of the human body comprises visual currents caused by scene movement in the visual field or generated during self movement, people usually induce vertigo symptoms in places with more people stream or dim scenes, such as markets, supermarkets, cinemas and the like, and the human body often causes phenomena of nausea, vomiting, vertigo and the like when being stimulated by excessive or variable linear acceleration movement, and the discomfort symptoms often occur in the process of driving or riding various vehicles and astronauts and participating in military activities.

The existing evaluation of the anti-visual vertigo capability at home and abroad at present mainly depends on the empirical diagnosis of doctors, has strong subjectivity and is easy to cause inaccurate judgment. The DHI Scale is more used to determine the effects of Vertigo on various aspects of life than visual Vertigo itself, as evaluated on the Vertigo assessment Scale DHI (DHI) and VSS (VSS) scales, which emphasize the degree of general discomfort caused by Vertigo. The evaluation results of the two abilities to resist visual vertigo can not obtain objective and accurate results. For the training of human anti-visual vertigo ability, usually, the old people exercises and improves the anti-vertigo ability of themselves through the movements such as making a taiji punch, and the staff of special profession mainly adopts continuous training method and indirect training through equipment such as gyro wheel, wave wood, swivel chair, centrifuge, etc. to improve the balance function of the testee through the integration and coordination of visual reconstruction, proprioception and vestibular information of the individualized training testee, but this training method has some drawbacks: the first is that: some training and some requirements have certain deviation, and the pertinence is not strong, secondly: the anti-vertigo training is single, boring and tasteless in most human eyes, so the training enthusiasm is not high, and the third is that: the training instrument is generally large in size and not easy to move, various required vertigo training scenes cannot be simulated due to the limitation of mechanical equipment, and different training modes corresponding to different subjects cannot be achieved. Therefore, a set of evaluation and training system which is simple and easy to use, strong in pertinence, high in immersion and capable of evaluating the anti-visual vertigo capability of the human body from multiple angles is urgently needed to be designed to assist doctors in quantitative evaluation and training of the anti-vertigo capability of the human body.

Disclosure of Invention

The invention aims to provide a human body anti-visual vertigo capability evaluating and training system. The VR helmet is utilized in the process of evaluating and training the anti-visual vertigo ability of the testee, the testee can feel personally on the scene, the human body pressure center is combined with the original data information of the electroencephalogram of the human body, and a machine learning algorithm is utilized to evaluate the anti-visual vertigo ability of the testee in multiple angles, so that the evaluation result has objectivity and accuracy, and the targeted anti-visual vertigo training can be carried out according to the evaluation result.

In order to achieve the purpose, the invention adopts the following technical scheme:

the invention relates to a human body anti-visual vertigo capability evaluating and training system, which comprises a test data acquisition unit, a data processing and displaying unit and a human-computer interaction unit, wherein the test data acquisition unit is used for acquiring a test data;

the test data acquisition unit is used for acquiring human body pressure center data and human body electroencephalogram original data and sending the two data to the data processing and displaying unit through the Bluetooth module;

the data processing and displaying unit is used for respectively calculating the human body central track of the testee and the power spectral density ratio of each frequency band of the human body electroencephalogram original data from the received human body central data and the received human body electroencephalogram original data, performing information fusion by using a machine learning algorithm, establishing an evaluation classification label by referring to an vertigo degree evaluation method in the medical vision vertigo analog scale, giving an anti-vision vertigo capability evaluation result of the testee, and displaying the evaluation result in an upper computer;

the human-computer interaction unit is used for receiving the virtual vertigo scene sent by the data processing and display unit and displaying the virtual vertigo scene designed based on the medical vision vertigo analog scale in the VR helmet;

the test data acquisition unit comprises a force measuring platform, a guardrail arranged around the force measuring platform, four pressure sensors distributed at four corners of the force measuring platform, a single-lead brain sensor and two foot plates driven by 4 linear motors respectively on the force measuring platform, wherein each pressure sensor outputs digital quantity of the pressure sensor through an analog-to-digital conversion module carried by a single chip microcomputer, the single chip microcomputer is used for resolving input analog signals into human body central data and sending the human body central data to the upper computer through the Bluetooth module, the single-lead brain sensor mainly has the functions of acquiring human body brain wave signals in real time and performing waveform analysis feedback, the acquired data are transmitted to the upper computer through the Bluetooth module in real time, and two foot plates driven by 4 linear motors respectively on the force measuring platform can greatly simulate a subject standing, The visual vertigo resistance performance evaluation and training method is used for the scenes of lifting escalators, stepping, walking, climbing steps and the like so as to achieve the purpose of evaluating and training the visual vertigo resistance performance under static and dynamic conditions.

The data processing and displaying unit is composed of an upper computer, human body pressure center track information and human body electroencephalogram power spectral density information of the testee are respectively calculated according to human body center data and human body electroencephalogram original data sent by the measured data acquisition unit, the two kinds of information are formulated into evaluation labels according to the vertigo degree evaluation standard in the visual vertigo analog scale, the evaluation labels are divided into three kinds, the three grades of the superior, the superior and the inferior of the visual vertigo resisting capacity of the testee are respectively corresponding, the two kinds of information are placed into a machine learning model for training by using a machine learning algorithm, and finally the trained model is used for giving the evaluation result of the visual vertigo resisting capacity of the testee and displaying the evaluation result in the upper computer.

The human-computer interaction unit comprises a VR helmet and the host computer, and the VR helmet receives a virtual visual vertigo scene which is transmitted by the host computer and designed based on the medical visual vertigo simulation scale, and is used for simulating visual vertigo stimulation to a human body.

The invention has the advantages that the human body electroencephalogram signal is introduced to be combined with the human body pressure center track information, and the human body visual vertigo scene is greatly simulated based on the virtual reality technology, so that objective and accurate evaluation results can be given to the human body visual vertigo resisting capacity, and the scene with poor evaluation results can be trained in a targeted manner.

Drawings

FIG. 1 is a schematic diagram of the system of the present invention.

FIG. 2 is a flow chart of the evaluation and training operation of the present invention.

Detailed Description

As shown in figure 1, the system for evaluating and training the anti-visual vertigo capability of the human body comprises a test data acquisition unit 1, a data processing and displaying unit 2 and a human-computer interaction unit 3.

The test data acquisition unit 1 consists of four pressure sensors 1.1, four transmitters, a single chip microcomputer, a Bluetooth module, an anti-falling guardrail 1.2, a force measuring platform 1.3, a single-lead brain sensor 1.4, a double-foot pedal 1.5 and a linear motor 1.6; the four pressure sensors 1.1 are respectively supported at four corners of the force measuring platform 1.3, when a testee stands on the force measuring platform 1.3, the central data of the human body of the testee can be collected in real time, and are simultaneously used as parameters for evaluating the dizziness degree of the testee after being subjected to information fusion with the human brain electrical original data collected by the single lead brain electrical sensor 1.4 at the forehead of the testee, and are sent to the data processing and displaying unit 2 through the Bluetooth sending module, and when dynamic evaluation and training are carried out, the four linear motors 1.6 can be started, so that the testee can greatly simulate movement scenes such as escalator, stepping, upper steps and the like when standing on the two pedals 1.5, and the aim of evaluating and training the visual vertigo resistance under the dynamic condition is achieved.

The human-computer interaction unit 3 consists of a VR helmet and is used for receiving a virtual vertigo scene which is sent by the data processing and displaying unit and designed based on the medical vision vertigo simulation scale, and displaying the virtual vertigo scene in the VR helmet;

as shown in figure 2, in the human body anti-visual vertigo capability evaluating and training system, when evaluating, a doctor inputs basic information of a subject into a data processing and displaying unit 2, the data processing and displaying unit 2 automatically establishes a personal file for the subject, the subject selects a proper vertigo scene to evaluate according to the visual vertigo condition of the subject, after evaluating is finished, evaluating again can be selected according to the evaluating result or a training scene is selected according to the evaluating result to carry out targeted training, after the training is finished, the anti-visual vertigo capability evaluating can be carried out again, if the evaluating result becomes good, the evaluating and training can be finished, if the original result is kept, the targeted training can be carried out for multiple times, and the visual vertigo resistant capability of the subject is improved.

The calculation method of the human body pressure center of the test data acquisition unit shown in fig. 1 comprises the following steps:

A. b, C, D is composed of four pressure sensors respectively arranged at four corners, four pressure sensors arranged at rectangular positions with center distance of L (L is constant), rectangular coordinate system with center positions of four pressure sensors as coordinate origin, horizontal right direction as X axis, horizontal upward direction as Y axis, and pressure center coordinate point as P (X) when human body stands on test bench_cop,y_cop) The specific calculation method is as shown in formula 1:

in the formula: (x)_cop,y_cop) X-axis and y-axis data of coordinate points of center of human body pressure, respectively, calculated by equation 1, F_A，F_B，F_C，F_DThe pressure values born and measured by the four pressure sensors are respectively.

The evaluation method for the human body anti-visual vertigo capability evaluation of the system is given by adopting a time domain analysis method of the human body pressure center track characteristics and a human body electroencephalogram original data frequency domain analysis method.

Swing track length: the sum of the distances between the pressure center points of adjacent human bodies is the total length of the wandering path. The larger the swing path length, generally representing the gesture swing, the worse the anti-visual vertigo ability, and the smaller the swing path length, the better the anti-visual vertigo ability. The specific calculation method is as follows:

center of rolling average: the average distance between a human body and a swing center is the average center of the swing, and generally represents that the average center of the swing is too large, the visual vertigo resistance is worse, and the smaller the average center of the swing is, the visual vertigo resistance is better. The specific calculation method is as follows:

power spectral density: the distribution state of the electroencephalogram energy signal power on the horizontal axis with the frequency as the axis is shown. Based on modern brain science research, the measured brain electricity data frequency is divided into three intervals of 0-30Hz, 30-80Hz and more than 80Hz, and the power spectral density percentage of the low frequency band of 0-30Hz is used as an evaluation index. The method for calculating the power spectral density of the electroencephalogram of the human body of the test data acquisition unit shown in fig. 1 is as follows:

where the power spectral density is the average power of the signal power defined at F (t) of the signal in the time interval (— infinity, ∞), denoted by F.

The experimental scheme for evaluating the anti-visual vertigo capability of the human body is as follows: when the system is used, a doctor inputs basic information of a subject in the data processing and displaying unit, the data processing and displaying unit can automatically establish a personal file for the subject, the subject naturally stands on the force measuring platform, the subject is prompted to wear the VR helmet and sleeve the electroencephalogram sensor on the left side of the forehead, the tightness of the binding belt is adjusted, and the sensor is fixed. The method comprises the steps of enabling a conductive cloth electrode on the inner side of an electroencephalogram bandage to be in full contact with forehead skin, clamping an ear clip at the lower end of a left earlobe, keeping a dry electrode in the ear clip to be in full contact with ear skin, enabling eyes to look directly at a virtual dizziness evaluation scene designed based on a medical vision dizziness analog scale in a VR helmet, transmitting collected human body pressure center data and human body electroencephalogram original data to a data processing and displaying unit after 60 seconds, carrying out information fusion by utilizing a machine learning algorithm, establishing an evaluation classification label by referring to a dizziness degree evaluation method in the medical vision dizziness analog scale, giving an evaluation result of the vision dizziness resistance of a subject, displaying the evaluation result in an upper computer, starting four linear motors on a force measuring table during dynamic evaluation and training, enabling the subject to stand on two pedals, greatly simulate standing, lifting an escalator, lifting the escalator, and placing the subject on the two pedals, Stepping, walking, stepping and the like so as to achieve the purpose of evaluating and training the visual vertigo resistance under static and dynamic conditions.

The experimental scheme for training the anti-visual vertigo capability of the human body is as follows: after the human body anti-visual vertigo ability of the testee is evaluated, a proper training scene can be selected according to the evaluation result to carry out targeted training; when training begins, a subject stands on a force measuring platform naturally, wears a VR helmet, and carries out targeted training in a scene with a poor evaluation result in the helmet viewed by eyes.

Medical visual vertigo analog scale:

the visual vertigo scale adopts nine simulated scene visual senses to induce vertigo: the test subject marks a vertical line on a 10 cm line to represent the degree of dizziness caused by each situation after completing a scene project by walking in a supermarket, taking a car, watching a television, taking a fluorescent lamp, taking a television, watching television, and displaying the scene project, wherein zero (0) represents no dizziness and ten (10) represents extreme dizziness between two anchor points. A subject is classified as positive for VVAS if two or more items are rated above zero on a simulated scale. The visual vertigo severity score is 10 (total score of completed items/number of completed items), therefore a visual vertigo severity score of 0 indicates that the subject has not experienced visual vertigo, and a score of 90-100 indicates severe visual vertigo.

While there have been shown and described the fundamental principles of the invention, the practice and advantages thereof, it will be understood by those skilled in the art that the invention is not limited thereto but is capable of numerous changes and modifications without departing from the spirit and scope of the invention as set forth in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.