Tumor nursing teaching system based on virtual reality

Abstract

The invention provides a virtual reality-based tumor nursing teaching system, which comprises a simulation field, VR glasses, a force feedback glove, a leg feedback module and an arm monitoring module, and is characterized in that the simulation field is in wireless communication connection with the VR glasses, the force feedback glove, the leg feedback module and the arm monitoring module; the simulation field predicts the posture change of the user in a prediction period according to the data of the leg feedback module and the arm monitoring module, and virtual display and force feedback control are performed according to the predicted posture change. According to the method, the posture change of the user in the prediction period is predicted, virtual display and force feedback control are performed according to the predicted posture change, the timeliness of display and feedback is ensured, and the learning effect is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of nursing teaching, and particularly relates to a tumor nursing teaching system based on virtual reality. BACKGROUND

[0002] Tumor nursing is comprehensive medical support provided for tumor patients in terms of physiology, psychology and social needs, covering symptom management, treatment side effect response, psychological counseling and life guidance, and needs to develop a nursing plan in combination with individual conditions and pay attention to multidisciplinary cooperation. Tumor nursing teaching needs to combine theoretical knowledge with clinical practice and pay attention to the cultivation of health education, multidisciplinary cooperation and individualized nursing ability. In the traditional teaching process, theoretical knowledge is learned through case teaching, and operation skills are trained through role playing, and the learning effect is poor. VR technology can significantly improve the teaching effect and clinical practice ability through immersive experience, safe simulation and personalized learning, so that the application of VR technology becomes an important direction of tumor nursing teaching innovation. VR technology needs to be calculated according to the current position and state of the user, the change of the display picture is determined according to the calculation result, and the specific force feedback mode, so that the feedback of the VR technology inevitably exists delay, which makes the user easily produce unreal feeling, and affects the learning effect. SUMMARY

[0003] In order to solve the technical problem that the feedback of virtual reality technology exists delay in the prior art and affects the learning effect, the tumor nursing teaching system based on virtual reality provided by the present application includes a simulation field, VR glasses, a force feedback glove, a leg feedback module and an arm monitoring module, the simulation field is wirelessly connected with the VR glasses, the force feedback glove, the leg feedback module and the arm monitoring module in communication respectively;

[0004] The simulation field predicts the posture change of the user in the prediction period according to the data of the leg feedback module and the arm monitoring module, and performs virtual display and force feedback control according to the predicted posture change.

[0005] Preferably, the force feedback glove is selected from SenseGlove Nova 2.

[0006] Preferably, the leg feedback module includes a first elastic belt, a plurality of first acceleration sensors and a neodymium iron boron magnet plate are arranged on the outer surface of the first elastic belt, the first acceleration sensors are used to detect the motion trend of the legs, and the neodymium iron boron magnet plate is used to interact with the simulation field to provide force feedback for the user.

[0007] Preferably, the arm monitoring module includes a second elastic belt, a plurality of second acceleration sensors are uniformly distributed on the outer surface of the second elastic belt, and the second acceleration sensors are used to detect the motion trend of the arms.

[0008] Preferably, the simulation field comprises a circular simulation fence, a door is arranged in the simulation fence, a plurality of electromagnet devices are uniformly arranged on the inner wall of the simulation fence opposite to the door, the electromagnet devices can generate a magnetic field to generate resistance to the neodymium iron boron magnet plate, a control unit is arranged on the upper surface of the simulation fence, leg detection devices are arranged on both sides of the control unit, and the control unit is arranged opposite to the door.

[0009] Preferably, the leg detection device comprises a rotating base, a support is arranged on the upper part of the rotating base, and two detection units are arranged on the support and can rotate relative to the support.

[0010] Preferably, the detection unit comprises a millimeter wave radar module and a camera.

[0011] Preferably, in operation, the rotating angle of the rotating base and the rotating angle of the detection unit are adjusted according to the picture of the camera, so that the upper detection unit is aligned with the middle position of the thigh, and the lower detection unit 43 is aligned with the middle position of the calf.

[0012] Preferably, the working process of the tumor care teaching system is that the control unit determines the current position of the user according to the data of the leg detection device, converts the current position in the real environment into a virtual current position of the virtual scene in the VR glasses, predicts the motion trend of the legs and arms of the user within a prediction period according to the current acceleration data of the leg feedback module and the arm monitoring module, determines the position change trend of the user in the virtual scene according to the motion trend of the legs and arms, performs collision detection according to the position change trend, determines the feedback control parameters at each position according to the collision detection result, the control unit transmits the virtual current position and the position change trend of the user in the virtual scene to the VR glasses, the VR glasses displays the data according to the time point, transmits the feedback control parameters to the electromagnet device and the force feedback glove, and the electromagnet device and the force feedback glove control according to the data of the time point.

[0013] Preferably, in the prediction period, the control unit receives the real-time acceleration data of the leg feedback module and the arm monitoring module, compares the real-time acceleration data with the current acceleration data for prediction, if at least one of the plurality of change percentages is greater than the change threshold, the VR glasses determines the position of the user in the virtual scene according to the real-time distance data of the leg detection device and the real-time acceleration data of the arm monitoring module, determines the feedback control parameters through collision detection, and controls the electromagnet device and the force feedback glove according to the feedback control parameters.

[0014] Compared with the prior art, the present application has the following beneficial effects:

[0015] The posture change of the user in a prediction period is predicted, virtual display and force feedback control are performed according to the predicted posture change, the timeliness of display and feedback is ensured, and the learning effect is improved. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 is a structural schematic diagram of the tumor nursing teaching system of the present application;

[0017] Figure 2 is a structural schematic diagram of the simulation field of the present application;

[0018] Figure 3 is a structural schematic diagram of the leg detection device of the present application;

[0019] Figure 4 is a structural schematic diagram of the detection unit of the present application.

[0020] In the figure: 1, simulation fence, 2, door, 3, electromagnet device, 4, leg detection device, 41, rotating base, 42, support, 43, detection unit, 431, millimeter wave radar module, 432, camera, 5, control unit. EMBODIMENT

[0021] The technical solutions of the present application will be described in detail below in combination with the drawings and specific embodiments.

[0022] As shown in Figure 1 The tumor nursing teaching system based on virtual reality provided by the present application includes a simulation field, VR glasses, a force feedback glove, a leg feedback module and an arm monitoring module, and the simulation field is in wireless communication connection with the VR glasses, the force feedback glove, the leg feedback module and the arm monitoring module.

[0023] The force feedback glove is built-in with a tactile sensor, which measures the force applied by the user on the virtual object, so that the user can perceive the texture, texture and weight of the object, and specifically selects a SenseGlove Nova 2.

[0024] The leg feedback module includes a first elastic belt, a plurality of first acceleration sensors and a neodymium iron boron magnet plate, which are arranged on the outer surface of the first elastic belt, the first acceleration sensors are used to detect the motion trend of the legs, and the neodymium iron boron magnet plate is used to interact with the simulation field to provide force feedback for the user. In work, the leg feedback module is respectively worn on the thigh and the calf of the two legs.

[0025] The arm monitoring module includes a second elastic belt, and a plurality of second acceleration sensors are uniformly distributed on the outer surface of the second elastic belt, and the second acceleration sensors are used to detect the motion trend of the arms. In work, the arm monitoring module is respectively worn on the upper arm and the forearm of the two arms.

[0026] The simulation field defines the activity range of the user and is the control center of the tumor care teaching system. As shown in Figure 2 The simulation field includes a circular simulation fence 1, the height of the simulation fence 1 is 90 cm, which can reach the waist of an ordinary person. A door 2 is arranged in the simulation fence 1, and a plurality of electromagnet devices 3 are uniformly arranged at the positions of the inner wall of the simulation fence 1 opposite to the door 2. The height of the electromagnet device 3 is the same as the height of the simulation fence 1, the electromagnet device 3 can generate a magnetic field to generate resistance to the neodymium iron boron magnet plate in the leg feedback module, prevent the user's legs from continuing to advance, and simulate the user's legs hitting an obstacle. A control unit 5 is arranged on the upper surface of the simulation fence 1, leg detection devices 4 are arranged on both sides of the control unit 5, the left leg detection device is responsible for the right leg of the user, and the right leg detection device is responsible for the left leg of the user. The setting position of the control unit 5 is opposite to the door 2. As shown in Figure 3 The leg detection device 4 includes a rotating base 41, a support 42 is arranged on the upper part of the rotating base 41, two detection units 43 are arranged on the support 42, and the detection unit 43 can rotate relative to the support 42. As shown in Figure 4 The detection unit 43 includes a millimeter wave radar module 431 and a camera 432, the rotating angle of the rotating base 41 and the rotating angle of the detection unit 43 are adjusted according to the picture of the camera 432, so that the upper detection unit 43 is aligned with the middle position of the thigh, and the lower detection unit 43 is aligned with the middle position of the calf, and the millimeter wave radar module is used for detecting the distance between the target and the detection unit.

[0027] The working process of the tumor care teaching system is that the control unit 5 determines the current position of the user according to the data of the leg detection device 4, converts the current position in the real environment into a virtual current position of the virtual scene in the VR glasses, predicts the movement trend of the legs and arms of the user within a prediction period (for example, 3 minutes) according to the current acceleration data of the leg feedback module and the arm monitoring module, determines the position change trend of the user in the virtual scene according to the movement trend of the legs and arms, performs collision detection according to the position change trend, determines the feedback control parameters at each position according to the collision detection result, and the feedback control parameters are used to control the electromagnet device 3 and the force feedback gloves; the control unit 5 transmits the virtual current position and the position change trend of the user in the virtual scene to the VR glasses, the VR glasses display according to the time point calling data, and the feedback control parameters are transmitted to the electromagnet device 3 and the force feedback gloves, and the electromagnet device 3 and the force feedback gloves are controlled according to the time point calling data. Within the prediction period, the control unit 5 receives the real-time acceleration data of the leg feedback module and the arm monitoring module, compares it with the current acceleration data for prediction, and if at least one of the change percentages is greater than the change threshold, it indicates that the movement mode of the patient has changed significantly, and the teaching system enters the real-time tracking mode; the VR glasses determine the position of the user in the virtual scene according to the real-time distance data of the leg detection device 4 and the real-time acceleration data of the arm monitoring module, determine the feedback control parameters through collision detection, and control the electromagnet device 3 and the force feedback gloves according to the feedback control parameters.

[0028] The tumor care teaching system provided by the application predicts the posture change of the user within a prediction period, performs virtual display and force feedback control according to the predicted posture change, ensures the timeliness of display and feedback, and improves the learning effect.

[0029] The above only discloses the preferred embodiments of the application, and of course cannot limit the scope of protection of the application. It should be noted that equivalent changes made by those skilled in the art without departing from the design structure and principles of the application are considered within the scope of protection of the application.

Claims

1. A virtual reality-based oncology care teaching system, characterized by, The tumor care teaching system comprises a simulation field, VR glasses, force feedback gloves, a leg feedback module and an arm monitoring module, and the simulation field is in wireless communication connection with the VR glasses, the force feedback gloves, the leg feedback module and the arm monitoring module respectively. The simulation field predicts the posture change of the user in a prediction period according to the data of the leg feedback module and the arm monitoring module, and performs virtual display and force feedback control according to the predicted posture change.

2. The oncology care teaching system of claim 1, wherein, The force feedback gloves are selected from SenseGlove Nova 2.

3. The oncology care teaching system of claim 1, wherein, The leg feedback module comprises a first elastic belt, a plurality of first acceleration sensors and a neodymium iron boron magnet plate, which are arranged at intervals on the outer surface of the first elastic belt, the first acceleration sensors are used to detect the motion trend of the legs, and the neodymium iron boron magnet plate is used to interact with the simulation field to provide force feedback for the user.

4. The oncology care teaching system of claim 3, wherein, The arm monitoring module comprises a second elastic belt, and a plurality of second acceleration sensors are uniformly distributed on the outer surface of the second elastic belt, and the second acceleration sensors are used to detect the motion trend of the arms.

5. The oncology care teaching system of claim 4, wherein, The simulation field comprises a circular simulation fence, a door is arranged in the simulation fence, a plurality of electromagnet devices are uniformly arranged at positions opposite to the door on the inner wall of the simulation fence, the electromagnet devices can generate a magnetic field to generate resistance to the neodymium iron boron magnet plate, a control unit is arranged on the upper surface of the simulation fence, leg detection devices are arranged on both sides of the control unit, and the control unit is arranged opposite to the door.

6. The oncology care teaching system of claim 5, wherein, The leg detection device comprises a rotating base, a support is arranged on the upper part of the rotating base, and two detection units are arranged on the support and can rotate relative to the support.

7. The oncology care teaching system of claim 6, wherein, The detection unit comprises a millimeter wave radar module and a camera.

8. The oncology care teaching system of claim 7, wherein, In operation, the rotating angle of the rotating base and the rotating angle of the detection unit are adjusted according to the image of the camera, so that the upper detection unit is aligned with the middle position of the thigh, and the lower detection unit 43 is aligned with the middle position of the calf.

9. The oncology care teaching system of claim 7, wherein, The working process of the tumor care teaching system is that the control unit determines the current position of the user according to the data of the leg detection device, converts the current position in the real environment into a virtual current position in the virtual scene of the VR glasses, predicts the motion trend of the legs and arms of the user in a prediction period according to the current acceleration data of the leg feedback module and the arm monitoring module, determines the position change trend of the user in the virtual scene according to the motion trend of the legs and arms, performs collision detection according to the position change trend, determines the feedback control parameters at each position according to the collision detection result, the control unit transmits the virtual current position and the position change trend of the user in the virtual scene to the VR glasses, the VR glasses display the data according to the time point, transmits the feedback control parameters to the electromagnet device and the force feedback glove, and the electromagnet device and the force feedback glove control according to the data of the time point.

10. The oncology care teaching system of claim 9, wherein, In the prediction cycle, the control unit receives real-time acceleration data of the leg feedback module and the arm monitoring module, compares it with the current acceleration data for prediction, and if at least one of the multiple change percentages is greater than the change threshold, the VR glasses determine the user's position in the virtual scene according to the real-time distance data of the leg detection device and the real-time acceleration data of the arm monitoring module, determine the feedback control parameter through collision detection, and control the electromagnet device and the force feedback glove according to the feedback control parameter.

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