Obstacle test field for visual detection and evaluation

Abstract

The utility model discloses an obstacle test field for visual inspection and evaluation. The obstacle test field comprises a test darkroom, a test map, an illumination device and a data acquisition device, a projection device used for projecting the test map to the ground is arranged in the test darkroom, the test map is of a grid structure, and at least one test path marked by an arrow and at least one obstacle placed on the test map are arranged on the test map; the illumination device comprises an adjustable illumination lamp group and an illumination detection part used for detecting illumination of a height plane where the eyes of a to-be-tested person are located; the data acquisition device comprises wearable equipment used for acquiring eye movement data and limb movement data of the to-be-tested personnel, the projection technology is used for replacing a traditional physical map labyrinth canvas, the trouble of map laying is omitted, the detection efficiency is remarkably improved, and the requirement for canvas storage space is reduced.

Description

Technical Field

[0001] This utility model relates to the field of visual function assessment technology, specifically an obstacle testing field for visual detection and assessment. Background Technology

[0002] Hereditary retinal dystrophy (IRD) is a group of rare eye diseases caused by gene mutations that lead to vision loss, such as retinitis pigmentosa, congenital amaurosis, and cone-and-bar dystrophy. Its clinical manifestations are diverse, involving multiple different pathogenic genes; more than 300 related pathogenic genes have been reported to date. Inheritance patterns include autosomal dominant, autosomal recessive, X-linked, and mitochondrial inheritance. These diseases typically begin to appear in childhood or adolescence, characterized by progressively worsening retinal damage and visual function decline over time. Most patients may eventually develop severe visual impairment or legal blindness. Currently, there are no effective treatments for the vast majority of IRDs. However, the rise of novel therapies such as gene therapy (including optogenetics), cell therapy, and artificial retinal implantation has brought hope for the treatment of these diseases. For example, in 2017, the US FDA approved Luxturna, the first gene therapy drug for treating patients with RPE65 mutation-related retinal dystrophy, breaking the previous predicament of lacking effective treatments for this disease. In recent years, ophthalmic gene therapy drugs have developed rapidly, and interventional clinical trials targeting IRD have also increased. Currently, dozens of ophthalmic gene therapy projects at home and abroad have entered the clinical stage or been commercialized.

[0003] To effectively assess the safety and efficacy of these innovative therapies, establishing standardized endpoints and testing methods for visual function evaluation is crucial. However, for IRD patients with severe rod cell damage, who often suffer from severe low vision or even legal blindness, the application of the traditional primary endpoint for visual function assessment—best-corrected visual acuity (BCVA)—has been challenged. The FDA has also suggested that for rare diseases like IRD, traditional clinical endpoints may not be sufficient to comprehensively assess treatment effectiveness. A comprehensive set of clinical endpoint assessment indicators is needed, which should be able to accurately capture changes in visual-related functional characteristics by considering the natural course of IRD and the differences in affected cell types, providing a more appropriate framework for efficacy assessment of IRD. The Multiple Luminance Mobility Test (MLMT) is a comprehensive assessment tool for functional vision, specifically designed to quantify functional visual impairment in IRD patients who exhibit severe visual disturbances (such as typical night blindness) and peripheral visual field loss under low light conditions. By assessing subjects' ability to navigate obstructed routes under different lighting conditions, it establishes grading evaluation criteria and objectively quantifies the impact of lighting conditions on patients' mobility and orientation abilities. It is currently a key assessment tool in the field of IRD clinical research and is widely used as the primary efficacy endpoint in interventional clinical trials for this disease.

[0004] However, significant shortcomings remain in the current testing practices: First, the measurement locations for illuminance do not match the actual perceived locations. Current illuminance measurement standards measure illuminance at five points: the four corners and the center of the map. However, the subjects' eyes are located at the upper part of their bodies, and there are significant differences in height among subjects of different ages and genders. Therefore, previously measured parameters cannot reflect the actual illuminance perceived by the subjects, affecting the accuracy of the test. Second, existing testing sites often use printed canvases to present the map. To prevent subjects from memorizing the test route, different maps need to be changed multiple times during the test. This process typically requires two staff members: first, removing obstacles from the map; then, rolling up the old map and laying out a new one; and finally, replacing the obstacles. This series of tasks is time-consuming and labor-intensive, prolonging the testing cycle and requiring a large testing space. Alternatively, a display screen can be laid on the ground as a map display unit (such as patent 202211032768.8). However, since the light from the display screen is emitted upwards from the ground, it may shine into the eyes of the test subject and may also cause glare, affecting the test subject's judgment of obstacles. At the same time, the cost is also relatively high. Finally, the existing light environment simulation only simulates the light intensity, which is significantly different from the real ambient light, resulting in inaccurate data. Moreover, the data collected in the test is mainly whether the test subject passed or hit an obstacle. This is mostly result data, and the dynamic process of the test subject during the test is not effectively recorded, affecting the final evaluation effect. Utility Model Content

[0005] The purpose of this invention is to provide a visual inspection and evaluation obstacle testing field to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, this utility model provides the following technical solution:

[0007] An obstacle testing range for visual detection and evaluation includes a darkroom, a test map, a lighting device, and a data acquisition device;

[0008] The darkroom is equipped with a projection device for projecting the test map onto the ground. The test map has a grid structure and includes at least one test path marked by an arrow and at least one obstacle placed on the test map.

[0009] The lighting device includes an adjustable lighting assembly and a lighting detection unit for detecting the plane lighting at the eye level of the person being tested;

[0010] The data acquisition device includes wearable devices for collecting eye movement data and limb movement data of the test subjects.

[0011] As a further aspect of this invention, the inner walls and floor of the test darkroom are covered with a diffuse reflection layer.

[0012] As a further embodiment of this invention: the projection device includes multiple projectors, which are installed on the ceiling of the test darkroom.

[0013] As a further embodiment of this utility model: the test map is 4.2 meters long and 2.7 meters wide, a test grid is provided in the middle of the test map, the test grid is 3.0 meters long and 1.5 meters wide, the test grid is provided with multiple grid cells, the test grid includes grid cells divided into 10 rows and 5 columns, and the test path includes a start point and an end point set on the test grid, and multiple grid cells connected sequentially between the start point and the end point.

[0014] As a further embodiment of this utility model: the test path includes at least a straight section, a left-turn section, and a right-turn section, and the obstacles are set on the grid cells on the test path and / or on the grid cells around the test path.

[0015] As a further embodiment of this utility model: the lighting assembly includes a left lighting assembly and a right lighting assembly, each of which includes two lighting lamps. The lighting lamp includes a base and a light strip rotatably connected to the base and arranged along the height direction. The light strip is provided with multiple LED beads arranged along the height direction of the light strip and independently controlled to be turned on or off. The lighting lamp is also provided with an adjustment module for adjusting the brightness and color temperature of the LED beads.

[0016] As a further embodiment of this utility model: the illumination detection unit includes multiple illumination detection points disposed above the test map and at least one illuminance meter, the illuminance meter being signal-connected to the adjustment module of the lighting lamp.

[0017] As a further aspect of this invention: the dark testing chamber is equipped with a height detection device for detecting the eye level of the person being tested.

[0018] As a further embodiment of this utility model: the illuminance meter is freely arranged or slidably connected up and down in the dark test chamber via a telescopic rod, the top end of the telescopic rod is fixed to the lower end of the ceiling of the dark test chamber, and a telescopic control mechanism is provided on the telescopic rod, the telescopic control mechanism being signal-connected to the height detection device.

[0019] As a further embodiment of this utility model: the wearable device includes a wearable eye-tracking sensor and a gait analysis sensor, and the data acquisition device further includes a camera device, which includes motion cameras located on both sides of the test map.

[0020] Compared with the prior art, the beneficial effects of this utility model are:

[0021] 1. This application uses projection technology to replace the traditional physical map maze canvas, eliminating the trouble of laying out the map, significantly improving detection efficiency, and reducing the requirements for canvas storage space. In addition, the projection of this application is mainly a grid, which has very little impact on the simulation of the light environment and the subject's line of sight, thereby improving the accuracy of the test.

[0022] 2. Compared with previous illuminance measurements taken on the ground, this application uses a horizon-based photometric mechanism based on the subject's height, which ensures that the illuminance parameters truly reflect the patient's actual eye sensation and improves the accuracy of illuminance assessment.

[0023] 3. In addition to simulating light intensity, this application also simulates color temperature adjustment, thus making the simulated light environment closer to the natural light environment and improving the accuracy of the test.

[0024] 4. This application is equipped with wearable eye-tracking analysis sensors and limb movement analysis sensors for collecting eye-tracking data and limb movement data of the test subjects. It can collect the dynamics of the subjects during the test, so it can not only obtain the result data of whether they pass or fail, but also obtain the visual dynamic data and posture dynamic data of the subjects during the test, providing effective data support for more detailed pathological analysis. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the test chamber structure in this embodiment;

[0026] Figure 2 This is a schematic diagram of a maze map in this embodiment;

[0027] Figure 3 This is a test diagram of the light field in the darkroom in this embodiment.

[0028] In the diagram: 1-Test darkroom, 2-Test map, 21-Test grid, 22-Path indicator arrow, 23-Obstacle, 24-Start point, 25-End point, 3-Left side light group, 4-Right side light group, 5-Camera device, 6-Projector, 7-Wearable device, 8-Height detection device, 9-Light detection unit, 91-Light meter. Detailed Implementation

[0029] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0030] Example 1

[0031] Please see Figure 1 In this embodiment of the invention, an obstacle testing field for visual detection and evaluation includes a darkroom 1 and a testing area. Figure 2 Illumination devices and data acquisition devices;

[0032] The inner walls and floor of the test darkroom 1 are covered with a diffuse reflection layer. In this embodiment, the test darkroom 1 is a darkroom environment that blocks external natural light. The side walls and floor of the test darkroom 1 are covered with a diffuse reflection medium, and the top and blackout curtains are made of black light-absorbing material to create an optical environment without mirror reflection and avoid the influence of stray light from the external environment on the test darkroom.

[0033] Test chamber 1 is equipped with a test site for projecting test data onto the ground. Figure 2 The projection device includes multiple projectors 6, which are installed on the ceiling of the test darkroom 1. In this embodiment, two projectors 6 are provided, and the two projectors 6 are respectively arranged on the test site. Figure 2 At the top two ends, that is, when projecting downwards from two directions, the tilt angle of projector 6 is... The images projected by the two projectors 6 are spatially registered and superimposed to make the light paths complementary and avoid shadows caused by obstacles or subjects blocking the light. The projectors 6 can project a preset test map. At the same time, the ground is covered with diffuse reflection material, which can avoid ground reflection from interfering with the test.

[0034] like Figure 2 As shown, the test site Figure 2 The test site is a grid structure. Figure 2 The system is equipped with at least one test path indicated by path indicator arrow 22 and at least one test site. Figure 2 The test path includes at least a straight section, a left-turn section, and a right-turn section. Obstacles 23 are placed on the grid cells of the test path and / or on the grid cells surrounding the test path. Figure 2 The length is 4.2 meters and the width is 2.7 meters. (Test site) Figure 2A test grid 21 is set in the middle of the test grid. The test grid 21 is 3.0 meters long and 1.5 meters wide. The test grid contains multiple grid cells. Each standard grid cell has a side length of 30 cm. The test grid 21 includes grid cells divided into 10 rows and 5 columns. Each grid cell has the same size. The test path includes a start point 24 and an end point 25 set on the test grid 21, as well as multiple grid cells connected sequentially between the start point 24 and the end point 25. In this embodiment, the system has multiple sets of maps with different paths. By changing the map path and using the grayscale control capability of the projection, the staff can generate test paths with different contrasts to simulate complex visual environments.

[0035] Obstacle 23 includes: a STOP sign with a height of approximately 1.2 m and dimensions of 30 cm x 20 cm; two artificial turf pavers laid on the ground; a blue step with dimensions of approximately 35 cm x 6 cm x 6 cm; two square raised platforms with dimensions of approximately 30 cm x 30 cm x 5 cm; two foams with dimensions of approximately 30 cm x 30 cm x 10 cm; a trash can with a cross-section of 25 cm x 25 cm; a high-angle ball light containing a sphere with a diameter of approximately 30 cm and a height of approximately 85 cm; two roadblocks with a height of approximately 25 cm; and a door panel with dimensions of approximately 1.6 m x 60 cm x 5 cm; in addition, three black hole symbols are displayed by projection.

[0036] like Figure 1 , Figure 3 The illumination device shown includes an adjustable lighting assembly and an illumination detection unit 9 for detecting the illumination on a plane at the eye level of the person being tested. The lighting assembly includes a left light assembly 3 and a right light assembly 4, each containing two lights. Each light assembly includes a base and a light strip rotatably connected to the base and arranged along the height direction. The light strip has multiple LEDs arranged along the height direction that are independently controlled to turn on or off. The lighting assembly also includes an adjustment module for adjusting the brightness and color temperature of the LEDs. The adjustment module is a dimming module used to adjust the brightness and color temperature of the LEDs. In this embodiment, a dimming module is a common technique and will not be described in detail here. The illumination detection unit 9 includes a light strip located at the test site. Figure 2 The upper part has multiple light detection points and at least one illuminance meter 91, which is connected to the lighting lamp adjustment module.

[0037] The height detection device 8 in the darkroom 1 is a ruler attached to the wall. The height and eye level of the subject are measured using the ruler. The illuminance meter 91 is freely arranged. In this embodiment, only one illuminance meter 91 is provided. The staff manually measures the illuminance at each measurement point. During the test preparation stage, based on the height and eye level data of the subject detected by the height detection device 8, the staff places the illuminance meter 91 at the subject's line of sight and measures the illuminance values ​​at the center and around the perimeter of this horizontal plane. The output power of the lamp groups and projector distributed on both sides of the map is adjusted according to the measured illuminance values ​​to ensure that the actual illuminance received by the subject's eyes meets the preset gradient standards, namely multiple levels such as 0.1 Lux, 1 Lux, 10 Lux, 50 Lux, 125 Lux, 250 Lux, and 400 Lux.

[0038] The data acquisition device includes a wearable device 7 for collecting eye movement data and limb movement data of the test subject. The wearable device 7 includes a wearable eye movement analysis sensor and a limb gait analysis sensor. The data acquisition device also includes a camera device 5, which includes a camera located at the test site. Figure 2 Action cameras on both sides.

[0039] During the test, after approximately 40 minutes of dark adaptation, the subjects entered the test area wearing wearable eye-tracking and gait analysis sensors. The lighting environment was first adjusted. In this embodiment, the lighting primarily came from the side lighting units and the projector 6 on top. Since both the lighting units and the projector 6 allow for adjustment of light intensity and color temperature, the lighting environment in this embodiment can simulate not only different light intensity environments, such as the standard 0.1 Lux, 1 Lux, 10 Lux, 50 Lux, 125 Lux, 250 Lux, and 400 Lux, but also different color temperatures under natural conditions. For example, the color temperature is 2500K-3500K under sunrise or sunset, 5500K-6500K under midday sunlight, and 6500K-9000K under cloudy conditions. By adjusting the light intensity and color temperature, the natural light environment can be better simulated as the test scenario.

[0040] After the light environment simulation was completed, the subjects began to enter and exit the maze. At this time, the motion cameras fixed on both sides of the maze map, the eye-tracking analysis sensors worn on the subjects' eyes, and the gait sensors strapped to their limbs worked synchronously. The eye-tracking sensors recorded the coordinates of the subjects' gaze points in real time in the dark environment, the gait sensors collected acceleration and angular velocity data of walking at a high frequency, and the motion cameras recorded a global video of the subjects walking through the maze path. The subjects had to follow the arrows on the projected path, passing through 17 straight arrows and 7 turning arrows, to walk from the starting point to the end point. The system could switch the projected map according to the test sequence of monocular or binocular and low brightness to high brightness. The staff would adjust the positions of the corresponding obstacles to eliminate the memory effect, and then evaluate them based on the collected data.

[0041] Example 2

[0042] In this embodiment, five illuminance meters 91 are provided, and the five illuminance meters 91 are connected by sliding up and down in the test dark chamber 1 through a telescopic rod. The top end of the telescopic rod is fixed to the lower end of the ceiling of the test dark chamber. A telescopic control mechanism is provided on the telescopic rod. The telescopic mechanism can be adapted to a linear motor, a pneumatic cylinder, or a hydraulic cylinder. The telescopic mechanism is arranged at the ceiling of the test dark chamber and can be retracted during use to avoid interfering with the subject when the subject enters the test map. The telescopic control mechanism can be manually controlled or automatically controlled. The specific control process is a common technical means in the technical field of this application, so it will not be described in detail here. The rest of the structure and usage process are the same as in the embodiment.

[0043] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within this invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0044] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. Obstacle test field for visual detection and evaluation, comprising a test darkroom (1), a test map (2), an illumination device, a data acquisition device, characterized in that, a projection device for projecting the test map (2) onto the ground is arranged in the test darkroom (1), the test map (2) is of a grid structure, at least one test path indicated by an arrow and at least one obstacle placed on the test map (2) are arranged on the test map (2); the illumination device comprises an adjustable light group and an illumination detection part (9) for detecting the light illumination of the height plane where the eyes of the person to be tested are located; the data acquisition device comprises a wearable device (7) for acquiring eye movement data and limb movement data of the person to be tested. The inner wall and the ground of the test darkroom (1) are paved with a diffuse reflection layer. The projection device comprises a plurality of projectors (6) arranged at the ceiling of the test darkroom (1). The test map (2) has a length of 4.2 meters and a width of 2.7 meters, a test grid (21) is arranged in the middle of the test map (2), the test grid (21) has a length of 3.0 meters and a width of 1.5 meters, a plurality of grid units are arranged in the test grid (21), the test grid (21) comprises grid units divided into 10 rows and 5 columns, the test path comprises a start point (24), an end point (25) arranged on the test grid (21), and a plurality of sequentially connected grid units connected between the start point (24) and the end point (25).

2. A visual detection and assessment obstacle course according to claim 1, wherein, The test path comprises at least a straight section, a left turn section and a right turn section, and the obstacle (23) is arranged on the grid units on the test path and / or the grid units around the test path.

3. A visual detection and assessment obstacle course according to claim 1, wherein, The light group comprises a left light group (3) and a right light group (4), each of the left light group (3) and the right light group (4) comprises two illumination lamps, each of the illumination lamps comprises a base and a lamp strip rotatably connected to the base and arranged in a height direction, a plurality of lamp beads arranged in the height direction of the lamp strip are arranged on the lamp strip and independently controlled to be turned on or turned off, and an adjustment module for adjusting the brightness and color temperature of the lamp beads is further arranged on the illumination lamp.

4. A visual detection and assessment obstacle course according to claim 1, wherein, The illumination detection part (9) comprises a plurality of illumination detection points arranged above the test map (2) and at least one illuminometer (91), the illuminometer (91) is in signal communication with the adjustment module of the illumination lamp.

5. A visual detection and assessment obstacle course according to claim 4, wherein, A height detection device (8) for detecting the eye height of the person to be tested is arranged in the test darkroom (1).

6. A visual detection and assessment obstacle course according to claim 1, wherein, The illuminometer (91) is freely arranged or connected to slide up and down in the test darkroom (1) through a telescopic rod, the top end of the telescopic rod is fixed to the lower end of the ceiling of the test darkroom, and a telescopic control mechanism is arranged on the telescopic rod.

7. A visual detection and assessment obstacle course according to claim 6, wherein, The wearable device (7) comprises a wearable eye movement analysis sensor and a limb gait analysis sensor, and the data acquisition device further comprises a camera device (5), the camera device (5) comprises a motion camera arranged on both sides of the test map (2).

8. A visual detection and assessment obstacle course according to claim 7, wherein, ​ 9. A visual detection and assessment obstacle course according to claim 7 or 8, characterized in that ​ 10. A visual detection and assessment obstacle course according to claim 1, wherein, ​

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