CN211604707U - Portable limb rehabilitation training device based on visual recognition - Google Patents
Portable limb rehabilitation training device based on visual recognition Download PDFInfo
- Publication number
- CN211604707U CN211604707U CN202020410240.XU CN202020410240U CN211604707U CN 211604707 U CN211604707 U CN 211604707U CN 202020410240 U CN202020410240 U CN 202020410240U CN 211604707 U CN211604707 U CN 211604707U
- Authority
- CN
- China
- Prior art keywords
- module
- processing unit
- rehabilitation training
- control processing
- power supply
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Rehabilitation Tools (AREA)
Abstract
The utility model discloses a portable limb rehabilitation training device based on visual identification, which comprises a data processing unit, a man-machine interaction module, a communication module, a data storage module and a power supply module; the data processing unit comprises a human body posture recognition unit and a control processing unit; the human body posture recognition unit is connected with the control processing unit; the human-computer interaction module comprises a camera, a display and a voice recognition module; the camera is connected with the human body posture recognition unit, and the control processing unit is respectively and electrically connected with the display and the voice recognition module; the data storage module is electrically connected with the control processing unit; the control processing unit is connected with the cloud server and/or the computer terminal through the communication module; the power supply module respectively provides required working power supply for the human body posture recognition unit, the control processing unit, the camera, the display, the voice recognition module, the data storage module and the communication module.
Description
Technical Field
The utility model relates to a recovered medical instrument technical field, more specifically relates to a portable limbs rehabilitation training device based on visual identification.
Background
The limb dysfunction is a common condition in clinic at present, and causes of the limb dysfunction comprise stroke hemiplegia, muscle atrophy caused by nerve injury after trauma, other diseases and accidents. In the process of limb rehabilitation training, the limbs and muscles of a patient need to be pulled, so that the phenomenon that the limbs are not moved for a long time to cause muscle atrophy and lose limb functions is avoided.
The application of the rehabilitation medical apparatus is the most effective means for helping disabled people, including disabled people, old people and patients to return to the society. The rehabilitation medical appliance is a bridge for the disabled to return to the society, and has important significance for promoting the stability and harmony of the society.
Nowadays, the rehabilitation medical instruments on the market are various in variety, and particularly aim at the shoulder, the neck, the leg and other parts. Some imported rehabilitation medical instruments are expensive and are not acceptable for ordinary families. In recent years, a plurality of research units for the rehabilitation medical instruments appear in China, and a large number of enterprises for the rehabilitation medical instruments appear in China.
Most of the existing devices for limb rehabilitation training are medical instruments with complicated structural designs. These instruments are bulky, inconvenient to carry and costly. In recent years, some training devices utilize sensors to collect data and transmit the data to a computer for processing so as to perform limb rehabilitation training, and the patient is required to wear the data collecting device. In addition, some devices can only carry out rehabilitation training on upper limbs or lower limbs, and the application range is narrow. At present, the use flow of the devices is more tedious, some electronic devices need to be worn, the convenience is limited, and the cost is possibly higher.
SUMMERY OF THE UTILITY MODEL
The utility model discloses a solve the use that current rehabilitation training device exists inconvenient, the poor problem of convenience provides a portable limbs rehabilitation training device based on visual identification, and its convenient to use can effectual improvement human-computer interaction experience.
In order to realize the above, the utility model discloses the purpose, the technical scheme of adoption as follows: a portable limb rehabilitation training device based on visual identification comprises a data processing unit, a man-machine interaction module, a communication module, a data storage module and a power supply module;
the data processing unit comprises a human body posture recognition unit for recognizing the limb action information of the patient and a control processing unit for controlling external equipment; the human body posture recognition unit is connected with the control processing unit;
the human-computer interaction module comprises a camera for acquiring image information of limb movement of a patient, a display for displaying a result of the data processing unit and a rehabilitation training picture of the patient, and a voice recognition module for playing a result detected by the data processing unit and realizing human-computer interaction through voice recognition;
the camera transmits the collected limb action information of the patient to the human posture recognition unit for processing, the human posture recognition unit is responsible for recognizing limb rehabilitation action information of the patient, and the camera is connected with the human posture recognition unit through a USB3.0 interface.
The control processing unit is respectively electrically connected with the display and the voice recognition module, receives and processes the signals collected by the voice recognition module, and displays the processing result through the display;
the data storage module is electrically connected with the control processing unit and is used for storing and backing up the rehabilitation training data;
the control processing unit is connected with the cloud server and/or the computer terminal through the communication module;
the power supply module respectively provides required working power supply for the human body posture recognition unit, the control processing unit, the camera, the display, the voice recognition module, the data storage module and the communication module.
The working principle of the rehabilitation training device is as follows: the image of the patient receiving limb rehabilitation training is obtained through the camera, the human posture recognition unit of the data processing unit is responsible for processing the received image, limb rehabilitation action information of the patient is recognized, then the standard of the rehabilitation action of the patient is judged, the result and related information are transmitted to the control processing unit of the data processing unit, the detection result and the training picture are transmitted to the display through the control processing unit to be displayed, and the patient can conveniently watch whether the rehabilitation action of the patient is correct. Meanwhile, the voice recognition module carries out broadcast guidance according to the detection result of the data processing unit, and the adjustment of the rehabilitation action of the patient is guided. In addition, the patient carries out human-computer interaction with the rehabilitation training device through the voice recognition module, so that the rehabilitation training device is controlled. The data storage module stores and backups the rehabilitation training data information. In addition, the data processing unit stores and backs up data in the cloud server through the communication module, can also perform data processing on the cloud server, and can also control the data processing unit through the computer terminal.
Preferably, the human-computer interaction module further comprises a gesture recognition module for recognizing the gesture of the patient to realize human-computer interaction, the gesture recognition module is electrically connected with the control processing unit and used for controlling and operating the equipment, and the power supply module supplies a required working power supply to the gesture module.
Furthermore, the human-computer interaction module also comprises a plurality of LED lamps with different colors, and the LED lamps are electrically connected with the data processing unit.
Preferably, the communication module includes a network cable interface, and the control processing unit is in communication connection with the computer terminal through the network cable interface, so as to realize communication and data transmission between the control processing unit and the computer terminal.
Further, the communication module further comprises a WiFi module; the WiFi module is electrically connected with the control processing unit and uploads data to the cloud server; the power supply module provides required working power supply for the WiFi module.
Still further, the communication module still include the GPRS module, the GPRS module and control processing unit electric connection, upload the cloud server with data, power module provide required working power supply to the GPRS module.
Preferably, the data storage module comprises a USB3.0 interface and an SD memory card slot; the USB3.0 interface is used for accessing a USB flash disk; the SD memory card slot is inserted into the SD memory card to store and backup rehabilitation training data, and the USB3.0 interface and the SD memory card slot are electrically connected with the control processing unit.
Preferably, the rehabilitation training device further comprises a plurality of GPIO interfaces, and the GPIO interfaces are electrically connected with the control processing unit.
Preferably, the rehabilitation training device further comprises a coprocessor interface and a coprocessor, wherein the coprocessor interface is connected with the input end of the human body posture identifying unit, and the coprocessor interface is connected with the output end of the coprocessor; the power supply module provides required working power supply for the coprocessor. The coprocessor interface is connected into the coprocessor, and shares the calculation burden of the human posture recognition unit by means of the stronger calculation capacity of the coprocessor, assists the human posture recognition unit to accelerate recognition of the limb rehabilitation training action information of the patient, and improves the limb rehabilitation training efficiency of the patient;
preferably, the rehabilitation training device further comprises a heat dissipation module, wherein the heat dissipation module comprises a heat dissipation fan and a heat dissipation fin, and the heat dissipation fin is attached to the back of the data processing unit; the heat radiation fan is arranged on one side of the data processing unit; the power module provides the required working power supply for the cooling fan.
The utility model has the advantages as follows: the patient can carry out limbs rehabilitation training before the camera, not only can carry out the rehabilitation training of upper limbs, also can carry out the rehabilitation training of low limbs, need not to dress some check out test set, has higher convenience. And simultaneously human-computer interaction module feed back and guide the testing result, promoted human-computer interaction and experienced, be favorable to promoting rehabilitation training's efficiency.
Drawings
Fig. 1 is a system block diagram of a rehabilitation training apparatus according to embodiment 1.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
Example 1
As shown in fig. 1, a portable limb rehabilitation training device based on visual identification comprises a data processing unit, a man-machine interaction module, a communication module, a data storage module and a power supply module;
the data processing unit comprises a human body posture recognition unit for recognizing the limb action information of the patient and a control processing unit for controlling external equipment; the human body posture recognition unit is connected with the control processing unit;
the human-computer interaction module comprises a camera for acquiring image information of limb movement of a patient, a display for displaying a result of the data processing unit and a rehabilitation training picture of the patient, and a voice recognition module for playing a result detected by the data processing unit and realizing human-computer interaction through voice recognition;
the camera transmits the collected limb action information of the patient to the human posture recognition unit for processing, the human posture recognition unit is responsible for recognizing limb rehabilitation action information of the patient, and the camera is connected with the human posture recognition unit through a USB3.0 interface.
The control processing unit is respectively electrically connected with the display and the voice recognition module, receives and processes the signals collected by the voice recognition module, and displays the processing result through the display.
The data storage module is electrically connected with the control processing unit and is used for storing and backing up the rehabilitation training data;
the control processing unit is connected with the cloud server and/or the computer terminal through the communication module;
the power supply module respectively provides required working power supply for the control processing unit, the human body posture recognition unit, the camera, the display, the voice recognition module, the data storage module and the communication module.
The working principle of the embodiment is as follows: the camera is used for acquiring images of a patient when the patient receives limb rehabilitation training, the human posture recognition unit of the data processing unit is used for processing the received images, limb rehabilitation action information of the patient is recognized, then the standard of the rehabilitation action of the patient is judged, the result and related information are transmitted to the control processing unit of the data processing unit, the detection result and a training picture are transmitted to the display through the control processing unit to be displayed, and the patient can conveniently watch whether the rehabilitation action of the patient is correct. Meanwhile, the voice recognition module carries out broadcast guidance according to the detection result of the data processing unit, and the adjustment of the rehabilitation action of the patient is guided. In addition, the patient carries out human-computer interaction through the rehabilitation training device of the voice recognition module, so that the rehabilitation training device is controlled. The data storage module stores and backups the rehabilitation training data information. In addition, the data processing unit stores and backs up data in the cloud server through the communication module, can also perform data processing on the cloud server, and can also control the data processing unit through the computer terminal.
In a specific embodiment, the human-computer interaction module further comprises a gesture recognition module for recognizing the gesture of the patient to realize human-computer interaction, and is used for controlling and operating the equipment, the gesture recognition module is electrically connected with the control processing unit, and the power supply module supplies the required working power supply to the gesture module. The gesture recognition module is used for the patient to control the equipment more conveniently and carry out limb rehabilitation training. The human-computer interaction module that this embodiment adopted feeds back the patient with the rehabilitation training result with multiple mode, has improved patient's use and has experienced, lets the operation of equipment use more simple and convenient.
In a specific embodiment, the human-computer interaction module further comprises a plurality of LED lamps with different colors, and the LED lamps are electrically connected with the control processing unit. The LED lamp described in this embodiment is used to prompt the patient whether the action is standard during rehabilitation training. The LED lamps adopt green lamps and red lamps, and if the action of the patient is standard, the control processing unit controls the green lamps to be turned on for prompting. And if the action of the patient is not standard, the control processing unit controls the red light to be on for prompting.
In a specific embodiment, the communication module includes a network cable interface, and the control processing unit is in communication connection with the computer terminal through the network cable interface, so as to realize communication and data transmission between the control processing unit and the computer terminal. The present embodiment may control the data processing unit by a computer terminal.
In a specific embodiment, the communication module further comprises a WiFi module; the WiFi module is electrically connected with the control processing unit and uploads data to the cloud server; the power supply module provides required working power supply for the WiFi module. The control processing unit of this embodiment can upload the data of patient's limbs rehabilitation training to the cloud ware through the wiFi module, can be with data storage in the cloud ware, also can carry out data processing to the information of patient's limbs rehabilitation training who uploads through the cloud ware, realize the standard nature judgement to patient's recovered action, then return the result to the control processing unit in, feed back the result to the patient through man-machine interaction module.
In a specific embodiment, the communication module further comprises a GPRS module, the GPRS module is electrically connected with the control processing unit and uploads data to the cloud server, and the power supply module provides a required working power supply for the GPRS module. The control processing unit of this embodiment can upload the data of patient's limbs rehabilitation training to the cloud ware through the GPRS module, can be with data storage in the cloud ware, also can carry out data processing to the information of uploading patient's limbs rehabilitation training through the cloud ware, realize the standard nature judgement to patient's recovered action, then return the result to the data processing unit in, feed back the result to the patient through man-machine interaction module.
In a specific embodiment, the data storage module comprises a USB3.0 interface, an SD memory card slot; the USB3.0 interface is used for accessing a USB flash disk; the SD memory card slot is inserted into the SD memory card to store and backup rehabilitation training data, and the USB3.0 interface and the SD memory card slot are electrically connected with the control processing unit.
In a specific embodiment, the rehabilitation training device further comprises a plurality of GPIO interfaces, and the GPIO interfaces are electrically connected to the control processing unit. Some extensible modules can be accessed through the GPIO interface, and human-computer interaction experience can be better improved.
In a specific embodiment, the rehabilitation training device further comprises a coprocessor interface and a coprocessor, wherein the coprocessor interface is connected with the input end of the human body posture identifying unit, and the coprocessor interface is connected with the output end of the coprocessor; the power supply module provides required working power supply for the coprocessor. The coprocessor interface is connected into the coprocessor, and shares the calculation burden of the human posture recognition unit by means of the stronger calculation capacity of the coprocessor, assists the human posture recognition unit to accelerate recognition of the limb rehabilitation training action information of the patient, and improves the limb rehabilitation training efficiency of the patient;
in a specific embodiment, the rehabilitation training device further comprises a heat dissipation module, wherein the heat dissipation module comprises a heat dissipation fan and a heat dissipation fin, and the heat dissipation fin is attached to the back of the data processing unit; the heat radiation fan is arranged on one side of the data processing unit; the power module provides the required working power supply for the cooling fan. The heat radiation fan and the heat radiation fins are used for radiating the data processing unit, and the processing efficiency of the equipment is improved.
In a specific embodiment, the power module includes a power switch, an external power interface, a rechargeable battery module, and a power mode switch. The rechargeable battery module comprises a lithium battery and a charging interface; the power supply mode switch is used for selecting to directly supply power by an external power supply or supply power by a rechargeable battery. The power switch is used for controlling whether to supply power to the heat dissipation module, the data processing unit, the expansion module, the communication module, the human-computer interaction module and the data storage module.
The display, the voice recognition module, the gesture recognition module, the camera, the GPRS module, the WiFi module, the network cable interface, the cooling fan, the heat sink, the coprocessor interface, the coprocessor, the GPIO interface, the USB3.0 interface, the SD memory card slot, the power module, the human body posture recognition unit, and the control processing unit described above in this embodiment can all be implemented by using the existing technical module, and the specific interface connection can be defined according to the module model pin, and will not be described in detail herein.
It is obvious that the above embodiments of the present invention are only examples for clearly illustrating the present invention, and are not limitations to the embodiments of the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. The utility model provides a portable limbs rehabilitation training device based on visual identification which characterized in that: the system comprises a data processing unit, a man-machine interaction module, a communication module, a data storage module and a power supply module;
the data processing unit comprises a human body posture recognition unit for recognizing the limb action information of the patient and a control processing unit for controlling external equipment; the human body posture recognition unit is connected with the control processing unit;
the human-computer interaction module comprises a camera for acquiring image information of limb movement of a patient, a display for displaying a result of the data processing unit and a rehabilitation training picture of the patient, and a voice recognition module for playing a result detected by the data processing unit and realizing human-computer interaction through voice recognition;
the camera transmits the collected limb action information of the patient to the human body posture recognition unit for processing,
the control processing unit is respectively electrically connected with the display and the voice recognition module, receives and processes the signals collected by the voice recognition module, and displays the processing result through the display;
the data storage module is electrically connected with the control processing unit and is used for storing and backing up the rehabilitation training data;
the control processing unit is connected with the cloud server and/or the computer terminal through the communication module;
the power supply module respectively provides required working power supply for the human body posture recognition unit, the control processing unit, the camera, the display, the voice recognition module, the data storage module and the communication module.
2. The visual recognition-based portable limb rehabilitation training device according to claim 1, characterized in that: the human-computer interaction module also comprises a gesture recognition module for recognizing the gestures of the patient to realize human-computer interaction, the gesture recognition module is electrically connected with the control processing unit and used for controlling and operating the equipment, and the power supply module provides required working power supply for the gesture module.
3. The visual recognition-based portable limb rehabilitation training device according to claim 2, characterized in that: the human-computer interaction module also comprises a plurality of LED lamps with different colors, and the LED lamps are electrically connected with the data processing unit.
4. The visual recognition-based portable limb rehabilitation training device according to claim 1, characterized in that: the communication module comprises a network cable interface, and the control processing unit is in communication connection with the computer terminal through the network cable interface to realize communication and data transmission between the control processing unit and the computer terminal.
5. The visual recognition-based portable limb rehabilitation training device according to claim 4, wherein: the communication module also comprises a WiFi module; the WiFi module is electrically connected with the control processing unit and uploads data to the cloud server; the power supply module provides required working power supply for the WiFi module.
6. The visual recognition-based portable limb rehabilitation training device according to claim 5, characterized in that: the communication module still include the GPRS module, GPRS module and control processing unit electric connection, upload the cloud server with data, power module provide required working power supply to the GPRS module.
7. The visual recognition-based portable limb rehabilitation training device according to claim 1, characterized in that: the data storage module comprises a USB3.0 interface and an SD memory card slot; the USB3.0 interface is used for accessing a USB flash disk; the SD memory card slot is inserted into the SD memory card to store and backup rehabilitation training data, and the USB3.0 interface and the SD memory card slot are electrically connected with the control processing unit.
8. The visual recognition-based portable limb rehabilitation training device according to claim 1, characterized in that: the rehabilitation training device further comprises a plurality of GPIO interfaces, and the GPIO interfaces are electrically connected with the control processing unit.
9. The visual recognition-based portable limb rehabilitation training device according to claim 1, characterized in that: the rehabilitation training equipment also comprises a coprocessor interface and a coprocessor, wherein the coprocessor interface is connected with the input end of the human body posture recognition unit, and the coprocessor interface is connected with the output end of the coprocessor; the power supply module provides required working power supply for the coprocessor.
10. The visual recognition-based portable limb rehabilitation training device according to claim 1, characterized in that: the rehabilitation training device also comprises a heat dissipation module, wherein the heat dissipation module comprises a heat dissipation fan and a heat dissipation fin, and the heat dissipation fin is attached to the back of the data processing unit; the heat radiation fan is arranged on one side of the data processing unit; the power module provides the required working power supply for the cooling fan.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020410240.XU CN211604707U (en) | 2020-03-26 | 2020-03-26 | Portable limb rehabilitation training device based on visual recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020410240.XU CN211604707U (en) | 2020-03-26 | 2020-03-26 | Portable limb rehabilitation training device based on visual recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211604707U true CN211604707U (en) | 2020-09-29 |
Family
ID=72582929
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020410240.XU Active CN211604707U (en) | 2020-03-26 | 2020-03-26 | Portable limb rehabilitation training device based on visual recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211604707U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113119082A (en) * | 2021-03-18 | 2021-07-16 | 深圳市优必选科技股份有限公司 | Visual recognition circuit, visual recognition device, and robot |
| CN113693885A (en) * | 2021-09-06 | 2021-11-26 | 西安交通大学 | Exoskeleton wearable upper limb rehabilitation training mechanism |
| CN115337607A (en) * | 2022-10-14 | 2022-11-15 | 佛山科学技术学院 | Upper limb movement rehabilitation training method based on computer vision |
-
2020
- 2020-03-26 CN CN202020410240.XU patent/CN211604707U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113119082A (en) * | 2021-03-18 | 2021-07-16 | 深圳市优必选科技股份有限公司 | Visual recognition circuit, visual recognition device, and robot |
| CN113693885A (en) * | 2021-09-06 | 2021-11-26 | 西安交通大学 | Exoskeleton wearable upper limb rehabilitation training mechanism |
| CN115337607A (en) * | 2022-10-14 | 2022-11-15 | 佛山科学技术学院 | Upper limb movement rehabilitation training method based on computer vision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN211604707U (en) | Portable limb rehabilitation training device based on visual recognition | |
| CN106774868B (en) | Wireless presentation device | |
| CN104887327B (en) | A kind of touch sensitive registration tools and its method for registering for surgical navigational | |
| KR20180018787A (en) | Bluetooth pulse diagnosis bracelet and pulse data transmission method (BLUETOOTH PULSE DIAGNOSIS WRISTBAND AND PULSE DATA TRANSMISSION METHOD) | |
| KR20080020982A (en) | Electronic acupuncture device and system, and method of managing meridian energy balance data of a patient | |
| CN103150565A (en) | Portable two-eye iris image acquisition and processing equipment | |
| CN203074683U (en) | Portable physiological information acquiring and transmitting device | |
| CN110633014B (en) | Head-wearing eye movement tracking device | |
| CN203466919U (en) | Power metering video recording device | |
| CN210573822U (en) | Face recognition module | |
| CN210843008U (en) | Multifunctional body temperature gun | |
| CN204863465U (en) | A touch quick formula and join in marriage accurate instrument and registration arrangement for performing operation navigation | |
| CN106805932A (en) | A kind of micro radio endoscopic images reception system | |
| CN206145486U (en) | Intelligent desk lamp | |
| CN107230414A (en) | A kind of SCM Based Sign Language Recognition translation system | |
| CN213462396U (en) | Control system of skin detection equipment | |
| CN101138489A (en) | Remote wearable real-time health diagnosis and examining system and method of use thereof | |
| CN211653675U (en) | Palm print and palm vein recognition terminal with body temperature detection and early warning functions | |
| CN209746568U (en) | Identity verification device based on face recognition | |
| CN207884306U (en) | A kind of power supply adaptor can be used for Bluetooth data transfer | |
| CN202771442U (en) | Portable face identification equipment | |
| CN206499434U (en) | Portable medical video image dendoscope system | |
| CN211786989U (en) | Head-mounted eye movement tracking device | |
| CN210843020U (en) | Human heart rate detection device based on NFC technology | |
| CN203815419U (en) | Portable endoscope video system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |