CN111882946A - Drug rehabilitation training system based on virtual reality riding motion - Google Patents
Drug rehabilitation training system based on virtual reality riding motion Download PDFInfo
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Abstract
The invention relates to a drug rehabilitation and rehabilitation training system based on virtual reality riding motion, which comprises a central control end management system, an artificial intelligent main scene control system, a physiological data acquisition and management system, a big data management and storage system and a virtual reality riding training system, wherein the virtual reality riding scene is combined with motion body-building hardware to carry out motion rehabilitation training on drug rehabilitation personnel, the physiological data of a user, including electroencephalogram and heart rate data, are recorded in time, the physiological data are operated and analyzed by utilizing an analysis technology of artificial intelligent machine learning, and the physical and health conditions of the training personnel are monitored and managed; the problems of physical monitoring of students and automatic acquisition, summarization and analysis of exercise data are solved; the problem of specialized establishment of a student movement prescription is solved; the problem of the motion safety monitoring in rehabilitation training venue is solved.
Description
Technical Field
The invention relates to the technical field of intelligent rehabilitation training of substance addicts, in particular to a drug rehabilitation training system based on virtual reality riding motion.
Background
Due to long-term or large-dose drug absorption, the cardiovascular system, the central nervous system, the digestive system, the respiratory system, the musculoskeletal system and the like are seriously damaged, and various physical indexes such as physical functions, quality and the like are lower than the normal level of the social population, so that the drug addict is in sub-health or disease state for a long time.
Exercise with proper intensity can help drug-dropping personnel to enhance physical quality and function, cultivate healthy living habits and improve environmental adaptability. Meanwhile, the exercise mainly aims at drug addiction targets, changes of neurotransmitters such as brain dopamine and the like are regulated, a brain neural network is activated, drug addicts are helped to remold a nervous system, cognitive functions are improved, physical and psychological health is enhanced, craving for drug addiction is effectively reduced, and drug seeking behaviors are reduced.
Virtual reality technology (VR) is a computer simulation system that can create and experience a virtual world, using a computer to create a simulated environment into which a user is immersed. The virtual reality technology is to combine electronic signals generated by computer technology with data in real life to convert the electronic signals into phenomena which can be felt by people, wherein the phenomena can be true and true objects in reality or substances which can not be seen by the naked eyes, and the phenomena are expressed by a three-dimensional model. These phenomena are called virtual reality because they are not directly visible but a real world simulated by computer technology.
Therefore, in the training process of the drug-free people, in order to adapt to the limitation of the drug-free places, a rehabilitation training system which helps the drug-free people to remove drugs through a virtual reality-based motion mode is urgently needed.
Disclosure of Invention
The invention aims to solve the technical problems and provides a rehabilitation training system which is based on a sports rehabilitation training system, utilizes the thinking of internet and rehabilitation and is simple, scientific, effective and professional in operation and based on virtual reality riding sports on the premise of improving the sports safety coefficient to the maximum extent.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: the utility model provides a rehabilitation training system based on virtual reality motion of riding, it includes well accuse end management system, artificial intelligence main scene control system, physiological data gathers management system, big data management storage system and virtual reality bicycle training system of riding, ride scene through virtual reality and combine motion body-building hardware, carry out the recovered training of motion to the rehabilitation personnel, in time take notes user's physiological data, including the brain electricity, the rhythm of the heart data, utilize the analytic technique of artificial intelligence machine learning to carry out the operational analysis to physiological data, the realization is monitored the management to training personnel's physical fitness health situation, bicycle riding motion's rehabilitation training system's concrete implementation steps as follows:
(1) drug addiction arousing: the drug addiction is aroused by simulating the VR video of drug taking through a camera;
(2) training the exercise level and recovery: the bicycle riding speed is actually calculated according to the motion amplitude of an external instrument, the motion modes comprise a single training mode, a multi-person competition mode and a multi-person simultaneous competition mode, and the bicycle riding scenes are not less than 5;
(3) social encouragement: and after the training is finished, a social encouraging scene is provided, and positive feedback is provided for drug addicts.
As an improvement, the central control end management system comprises hardware and software, and the following functions are realized through the cooperation of a hardware central control end computer, a wireless router, a trolley and a software artificial intelligence central control system:
(1) analyzing the biological information data on line;
(2) displaying the real-time heart rate electroencephalogram data numerical value;
(3) the demographic condition and various information of all personnel are analyzed;
(4) uniformly managing the start and the end of the training motion scene;
(5) carrying out drug addiction arousal, exercise rehabilitation and social encouragement on training personnel;
(6) support multiple persons simultaneously competing and ranking of persons in or among the places.
As an improvement, the artificial intelligence scene control system is used for controlling a process, controlling the start and the end of a virtual reality scene, simultaneously monitoring physiological data in real time, realizing full duplex communication between a browser and a server through a WebSocket protocol, actively sending a command to control CG animation scene content display by the control system server, simultaneously receiving physiological data indexes collected by a Pad end, and displaying real-time changes of electroencephalogram and heart rate physiological data of drug addictors.
As an improvement, the physiological data acquisition management system obtains physiological data through an external data acquisition system, and the acquired physiological data comprises: the acquired data are transmitted to an android APP through Bluetooth, and the real-time monitoring of drug addicts and the remote acquisition and management of physiological information are realized through the communication of a TCP/IP server side under a local area network.
As an improvement, the big data management storage system is an analysis storage system based on big data, can widely know the real-time craving condition of the drug-addicts, forms a craving degree variation statistical graph of different times of admission of all the drug-addicts, displays the craving indexes of the drug-addicts in a craving distribution graph form, and simultaneously carries out statistics on the demographic information such as the age, the academic history, the drug-addicts and the like of all the drug-addicts to form a statistical graph for real-time display.
As an improvement, the virtual reality bicycle riding training system comprises a hardware part and a software part, wherein the hardware part comprises a virtual reality suit, an electroencephalogram, a heart rate sensor, a wireless sensing suit and a VR spinning, and the software part comprises a virtual reality motion scene display system and a VR riding system.
As an improvement, the virtual reality motion scene display system takes a virtual reality display technology as a means, uses an independently developed 4A-level game engine Unreal and a popular development engine Unity to realize a cross-platform multi-system display mode, and adopts an independently developed mixed calling technology to present a picture effect and simultaneously keep light and smooth experience.
As an improvement, the VR riding system can browse a panoramic view of a simulation scene of riding a bicycle, can pause at any time during roaming, and further supports object triggering and distance triggering in the scene.
As an improvement, the rehabilitation and rehabilitation training system based on virtual reality riding exercises is used for training and simultaneously utilizing psychology theory to arouse drug addiction in the early stage of a trainer, smooth exercise and social encouragement, so that the effect of reducing the drug addiction size through the exercise rehabilitation is achieved.
The invention has the following advantages: the virtual reality riding rehabilitation training system is based on a sports rehabilitation training system, and effectively combines central physical testing equipment, training equipment, somatosensory sports equipment and the like to form an informationized physical rehabilitation training system integrating physical fitness testing, evaluation, intelligent sports prescription, intelligent exercise, data acquisition, analysis, management, summarization and reporting into a whole by taking technologies such as AI artificial intelligence and the like and technologies such as Internet of things, Internet, big data and the like as means.
The system carries out athletic ability assessment, takes an intelligent issued exercise prescription as a core, connects elements such as a data acquisition terminal and personal exercise health data in series, optimizes the exercise prescription by using personal data circulation, replaces the traditional manual operation with intelligence, evaluates the rehabilitation training effect by using body measurement data, has multiple functions such as data acquisition, analysis, evaluation, guidance, platform management and the like, and forms a systematic, scientific, professional and practical intelligent rehabilitation training closed loop. The problem of interactive interconnection between people and a field and between people and instruments in the rehabilitation training center is solved; the problems of physical monitoring of students and automatic acquisition, summarization and analysis of exercise data are solved; the problem of specialized establishment of a student movement prescription is solved; the problem of the motion safety monitoring in rehabilitation training venue is solved.
Drawings
Fig. 1 is a schematic diagram of a drug rehabilitation and rehabilitation training system based on virtual reality riding.
Fig. 2 is a data management diagram of the drug rehabilitation training system based on virtual reality riding motion.
Fig. 3 is a composition structure diagram of the drug rehabilitation training system based on virtual reality riding.
Fig. 4 is a specific parameter structure diagram of the drug rehabilitation training system based on virtual reality riding.
Fig. 5 is a structure diagram of a VR bicycle riding training system of the rehabilitation training system based on virtual reality riding movement of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to specific embodiments below.
The invention relates to a drug rehabilitation and rehabilitation training system based on virtual reality riding motion, which comprises a central control end management system, an artificial intelligent main scene control system, a physiological data acquisition and management system, a big data management and storage system and a virtual reality riding training system, wherein the virtual reality riding scene is combined with sports fitness hardware to carry out exercise rehabilitation training on drug rehabilitation personnel, physiological data of a user including electroencephalogram and heart rate data are recorded in time, the physiological data are operated and analyzed by utilizing an analysis technology of artificial intelligent machine learning, and the physical fitness and health condition of the training personnel is monitored and managed, and the specific parameters of the virtual reality riding training system are as follows:
(1) drug addiction arousing: the method comprises the following steps that a VR video which is shot by a camera and simulates drug taking of a real person is used for arousing drug addiction, and the arousing scenes of traditional drugs and novel drugs including K powder, heroin and methamphetamine can be selected; comprises different sucking modes, such as nasal sucking, hot sucking, injecting, cooking and the like;
(2) calculating riding speed: the riding speed is really calculated according to the movement speed of the external instrument;
(3) social encouragement: after training is finished, providing a social encouraging scene, providing positive feedback for drug addictors, fusing CG and real-person animation in the scene, and shooting a character for a real person;
(5) a plurality of motion modes: the system comprises a single training mode, a multi-person competition mode and a mode supporting multi-person simultaneous competition;
(6) the number of riding scenes is not less than 5.
The central control end management system comprises hardware and software, and the following functions are realized through the cooperation of a hardware central control end computer, a wireless router, a trolley and a software artificial intelligence central control system:
(1) analyzing the biological information data on line;
(2) displaying the real-time heart rate electroencephalogram data numerical value;
(3) the demographic condition and various information of all personnel are analyzed;
(4) uniformly managing the start and the end of the training motion scene;
(5) carrying out drug addiction arousal, exercise rehabilitation and social encouragement on training personnel;
(6) support multiple persons simultaneously competing and ranking of persons in or among the places.
The artificial intelligent scene control system is used for controlling a process, controlling the start and the end of a virtual reality scene, simultaneously monitoring physiological data in real time, realizing full-duplex communication between a browser and a server through a WebSocket protocol, actively sending a command to control CG animation scene content display by the control system server, simultaneously receiving physiological data indexes collected by a Pad end, and displaying real-time changes of electroencephalogram and heart rate physiological data of drug addicts.
The physiological data acquisition management system obtains physiological data through an external data acquisition system, and the acquired physiological data comprises: the acquired data are transmitted to an android APP through Bluetooth, and the real-time monitoring of drug addicts and the remote acquisition and management of physiological information are realized through the communication of a TCP/IP server side under a local area network.
The big data management storage system is an analysis storage system based on big data, can widely know the real-time craving condition of the drug-addicts, forms a craving degree change statistical graph of all the drug-addicts in different time periods, displays the craving indexes of the drug-addicts in a craving distribution diagram form, and simultaneously carries out statistics on the demographic information of the age, the academic history, the drug-addicts and the like of all the drug-addicts to form a statistical graph for real-time display.
Virtual reality bicycle training system of riding include hardware part and software part, the hardware part include virtual reality suit, brain electricity, heart rate sensor, wireless sensing suit and VR spinning, the software part include virtual reality motion scene display system and VR system of riding.
The virtual reality motion scene display system takes a virtual reality display technology as a means, uses an independently developed 4A-level game engine Unreal and a popular development engine Unity to realize a cross-platform multi-system display mode, and adopts an independently developed mixed calling technology to present a picture effect and keep light and smooth experience.
The VR riding system can browse a simulation scene of riding a bicycle in a panoramic way, and participants can watch picture effects with strong stereoscopic impression by virtue of the stereoscopic glasses; the VR virtual reality system has excellent natural scene representation capability, so that scenes such as terrain, flowers, plants, trees, sun, running water, cloud, fog, birds, butterflies and the like can be vividly and vividly reproduced in a virtual scene of a computer; when in roaming, the mobile terminal can pause at any time, and the mobile terminal can watch while walking. VR systems may also support object triggering and range triggering in a scene.
The rehabilitation and rehabilitation training system based on virtual reality riding exercises is used for training and simultaneously utilizing psychology theory to arouse drug addiction in the early stage of a trainer, and achieves the effect of reducing the drug addiction through the exercise rehabilitation and social encouragement.
The drug rehabilitation and rehabilitation training system based on virtual reality riding motion seamlessly links various physiological acquisition hardware to send information to an analysis system through a route. The method supports the electroencephalogram PC terminal data acquisition based on Bluetooth 4.0, supports the configurable starting of a server and automatically starts different application program functions; the function of controlling the PC system to be powered off by one key controlled by the server is supported; a biological data information encryption function; the functions of biological information hardware fault detection and fault recovery are supported; the system supports the acquisition of a multi-channel biological signal system, the biological signal acquisition has expandability and supports the acquisition of large data volume, the real-time motion condition of a student can be more widely known based on an analysis storage system of large data, different functions of support software are projected to different screens in a split screen mode, different desktops can be opened and respectively checked, the personnel information encryption function prevents data leakage, a motion health statistical curve graph of all the personnel is formed, the statistics is carried out on the age, the academic history and other demographic information of all the drug addicts, and a statistical chart is formed to be displayed in real time.
The present invention and its embodiments have been described above, but the description is not limitative, and the actual structure is not limited thereto. It should be understood that those skilled in the art should understand that they can easily make various changes, substitutions and alterations herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. The utility model provides a rehabilitation training system based on virtual reality motion of riding, a serial communication port, it includes well accuse end management system, artificial intelligence main scene control system, physiological data gathers management system, big data management storage system and virtual reality bicycle training system of riding, ride scene combination motion body-building hardware through virtual reality, carry out the recovered training of motion to the rehabilitation personnel, in time take notes user's physiological data, including the brain electricity, the rhythm of the heart data, utilize the analytic technique of artificial intelligence machine learning to carry out the operational analysis to physiological data, the realization is monitored the management to training personnel's physical fitness health situation, the rehabilitation training system's of riding of bicycle motion concrete implementation step as follows:
(1) drug addiction arousing: the drug addiction is aroused by simulating the VR video of drug taking through a camera;
(2) training the exercise level and recovery: the bicycle riding speed is actually calculated according to the motion amplitude of an external instrument, the motion modes comprise a single training mode, a multi-person competition mode and a multi-person simultaneous competition mode, and the bicycle riding scenes are not less than 5;
(3) social encouragement: and after the training is finished, a social encouraging scene is provided, and positive feedback is provided for drug addicts.
2. A rehabilitation and rehabilitation training system based on virtual reality riding motion as claimed in claim 1, wherein said central control end management system includes hardware and software, and the following functions are realized through cooperation of hardware central control end computer, wireless router and trolley with software artificial intelligence central control system:
(1) analyzing the biological information data on line;
(2) displaying the real-time heart rate electroencephalogram data numerical value;
(3) the demographic condition and various information of all personnel are analyzed;
(4) uniformly managing the start and the end of the training motion scene;
(5) carrying out drug addiction arousal, exercise rehabilitation and social encouragement on training personnel;
(6) support multiple persons simultaneously competing and ranking of persons in or among the places.
3. The rehabilitation and rehabilitation training system based on virtual reality riding motion of claim 1, wherein: the artificial intelligent scene control system is used for controlling a process, controlling the start and the end of a virtual reality scene, simultaneously monitoring physiological data in real time, realizing full-duplex communication between a browser and a server through a WebSocket protocol, actively sending a command to control CG animation scene content display by the control system server, simultaneously receiving physiological data indexes collected by a Pad end, and displaying real-time changes of electroencephalogram and heart rate physiological data of drug addicts.
4. A system for rehabilitation and rehabilitation training based on virtual reality cycling as claimed in claim 1, wherein the physiological data acquisition and management system obtains physiological data through an external data acquisition system, and the acquired physiological data comprises: brain wave physiological signals and heart rate physiological signals, the acquired data are transmitted to an android APP through Bluetooth, and real-time monitoring and remote acquisition and management of physiological information of drug-addicts are realized through communication between a TCP/IP server and a local area network.
5. The rehabilitation and rehabilitation training system based on virtual reality riding motion of claim 1, wherein: the big data management storage system is an analysis storage system based on big data, forms a statistical graph of craving degree change of all drug-addicts in different times according to real-time craving conditions of the drug-addicts, displays craving indexes of all drug-addicts in a craving distribution diagram form, and simultaneously carries out statistics on demographic information such as age, academic history and drug-addict amount of all drug-addicts to form a statistical graph for real-time display.
6. The rehabilitation and rehabilitation training system based on virtual reality riding motion of claim 1, wherein: virtual reality bicycle training system of riding include hardware part and software part, the hardware part include virtual reality suit, brain electricity, heart rate sensor, wireless sensing suit and VR spinning, the software part include virtual reality motion scene display system and VR system of riding.
7. The rehabilitation and rehabilitation training system based on virtual reality riding motion of claim 6, wherein: the virtual reality motion scene display system takes a virtual reality display technology as a means, uses an independently developed 4A-level game engine Unreal and a popular development engine Unity to realize a cross-platform multi-system display mode, and adopts an independently developed mixed calling technology to present a picture effect and keep light and smooth experience.
8. The rehabilitation and rehabilitation training system based on virtual reality riding motion of claim 6, wherein: the VR system of riding can browse the emulation scene when the bicycle is ridden in a panorama, can pause at any time when roaming, and the VR system still supports object triggering and distance triggering in the scene.
9. The rehabilitation and rehabilitation training system based on virtual reality riding motion of claim 1, wherein: the drug rehabilitation and rehabilitation training system based on virtual reality riding exercises is used for training and simultaneously utilizing psychology theory to arouse drug addiction in the early stage of a trainer, and is used for exercise rehabilitation and social encouragement.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112870521A (en) * | 2021-01-11 | 2021-06-01 | 西安中盛凯新技术发展有限责任公司 | Immersive exercise psychology rehabilitation training system |
| CN117085229A (en) * | 2023-08-21 | 2023-11-21 | 北京理工大学 | A spinning bicycle with motion feedback intervention system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090221928A1 (en) * | 2004-08-25 | 2009-09-03 | Motorika Limited | Motor training with brain plasticity |
| KR101291046B1 (en) * | 2011-03-15 | 2013-08-01 | 재단법인 포항지능로봇연구소 | Horse riding simulation system |
| CN104468824A (en) * | 2014-12-25 | 2015-03-25 | 清华大学 | Intelligent bicycle riding physiological data monitoring method and system |
| CN105944332A (en) * | 2016-05-10 | 2016-09-21 | 欧昊 | Virtual reality intelligent fitness system capable of being accessed to internet |
| CN106803017A (en) * | 2017-01-13 | 2017-06-06 | 杭州赛翁思科技有限公司 | A kind of craving degree appraisal procedure of amphetamines habituation personnel |
| CN109420233A (en) * | 2017-08-31 | 2019-03-05 | 华中科技大学 | A kind for the treatment of vest and its control method relying on heart addiction for removing drugs |
| CN109584130A (en) * | 2018-12-03 | 2019-04-05 | 漆寿元 | Wisdom prohibition of drug socialized service system system |
| CN111035840A (en) * | 2019-12-20 | 2020-04-21 | 上海大学 | VR closed-loop drug addiction self-control force training system |
| CN111292835A (en) * | 2020-03-04 | 2020-06-16 | 上海市精神卫生中心（上海市心理咨询培训中心） | Substance addiction patient psychological intervention method, system and storage device |
-
2020
- 2020-08-17 CN CN202010827071.4A patent/CN111882946A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090221928A1 (en) * | 2004-08-25 | 2009-09-03 | Motorika Limited | Motor training with brain plasticity |
| KR101291046B1 (en) * | 2011-03-15 | 2013-08-01 | 재단법인 포항지능로봇연구소 | Horse riding simulation system |
| CN104468824A (en) * | 2014-12-25 | 2015-03-25 | 清华大学 | Intelligent bicycle riding physiological data monitoring method and system |
| CN105944332A (en) * | 2016-05-10 | 2016-09-21 | 欧昊 | Virtual reality intelligent fitness system capable of being accessed to internet |
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