CN111899593A - Intelligent recognition comparison training system - Google Patents

Intelligent recognition comparison training system Download PDF

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Publication number
CN111899593A
CN111899593A CN202010994842.9A CN202010994842A CN111899593A CN 111899593 A CN111899593 A CN 111899593A CN 202010994842 A CN202010994842 A CN 202010994842A CN 111899593 A CN111899593 A CN 111899593A
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comparison
posture data
sensing plate
data
human
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林碧琴
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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00—Simulators for teaching or training purposes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B23/00—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
    • G09B23/28—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for medicine
    • G09B23/288—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for medicine for artificial respiration or heart massage

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Abstract

The invention discloses an intelligent identification comparison training system, which belongs to the technical field of medical equipment and comprises a human body model, wherein a body sensing plate is movably arranged on the human body model, a human-computer interaction screen is arranged on one side of the body sensing plate, a sound box is arranged on the other side of the body sensing plate, cameras are symmetrically arranged on two sides of the human-computer interaction screen, a return spring is fixed at the bottom of the body sensing plate, a pressing plate is fixed at the bottom of the return spring, pressure sensors are arranged at the bottoms of the pressing plates, and the bottoms of the pressure sensors are connected with the inner bottom of the human body model. According to the body sensing plate, the body sensing plate is composed of the multi-resin surface layer, the conductive layer, the fixing layer, the interlayer and the plastic layer, the processor can send posture data to the server for comparison and judgment through pressing of the body sensing plate and data acquisition of the camera, and a judgment result is given. Therefore, field training of professionals is not needed, and human resources are saved.

Description

Intelligent recognition comparison training system
Technical Field
The invention relates to a training instrument, in particular to an intelligent identification comparison training system, and belongs to the technical field of medical equipment.
Background
Cardiac resuscitation is a first aid procedure that works by causing the heart to suddenly stop beating unexpectedly and over time for a variety of reasons, thereby causing the sudden stop of the effective heart pump function and the effective circulation, causing severe ischemia, anoxia and metabolic disturbance of the tissue cells of the whole body, if the rescue is not carried out in time, the life can be lost immediately, so that the cardiac resuscitation plays a vital role in the rescue process, in the training process of cardiopulmonary resuscitation, the test needs to be carried out through the manikin, but in the using process of the traditional manikin, although the pressing depth and the force of the training center can be simply detected, the pressing position and the pressing posture cannot be judged, manual on-site guidance is needed, the use is inconvenient, meanwhile, the assessment cannot be equally divided, and the functionality is low, so that the invention provides an intelligent identification comparison training system to solve the problems in the prior art.
Disclosure of Invention
The invention mainly aims to provide an intelligent recognition comparison training system to solve the problems that somatosensory detection cannot be carried out and automatic scoring cannot be carried out in the prior art.
The purpose of the invention can be achieved by adopting the following technical scheme:
the utility model provides a training system is compared in intelligent discernment, includes the human model, movable mounting has the body to feel the board on the human model, and one side of body sensing board installs the human-computer interaction screen, and the opposite side of body sensing board installs the stereo set, the camera is installed to the bilateral symmetry of human-computer interaction screen, the bottom of body sensing board is fixed with reset spring, and reset spring's bottom is fixed with the clamp plate, pressure sensor is all installed to the bottom of clamp plate, and pressure sensor's bottom all is connected with the interior bottom of human model, the intermediate position department at clamp plate top is fixed with distance sensor, the interior top of human model is fixed with power module, and the bottom of human model installs the treater, body sensing board, camera, distance sensor and pressure sensor's output all with treater electric connection, and the output of treater and human-computer interaction screen, The power module electric connection, the treater is connected with wireless communication module, the treater is used for through wireless communication module with the camera data that acquires, distance sensor data and pressure sensor data transmit to remote server as real-time posture data, remote server stores and compares posture data, compare posture data and include the camera data that are used for comparing, distance sensor data and pressure sensor data, remote server is used for comparing and giving the comparison result according to received real-time posture data and comparison posture data.
Preferably: the remote server is used for acquiring the comparison posture data acquisition command, and then the remote server takes the received real-time posture data as the comparison posture data.
Preferably: the remote server is used for comparing the received real-time posture data with the multiple groups of comparison posture data and giving an average comparison result.
Preferably: the body feeling board comprises a multi-element resin surface layer, a conducting layer and a fixing layer, wherein the conducting layer is arranged at the bottom of the multi-element resin surface layer, the fixing layer is arranged at the bottom of the conducting layer, an interlayer is arranged at the top of the multi-element resin surface layer, and a plastic layer is arranged at the top of the interlayer.
Preferably: the top of the human body model is provided with a through groove matched with the motion sensing plate.
Preferably: the top of manikin is provided with and accomodates the groove with camera complex, and accomodate inslot portion and be provided with the slider, slider and camera fixed connection.
Preferably: the outer edges of the human body model are provided with rubber pads.
Preferably: reset spring is provided with four groups, and reset spring all is the corner with the body panel.
The invention has the beneficial effects that:
according to the intelligent recognition comparison training system, the motion sensing plate is composed of the multi-resin surface layer, the conducting layer, the fixing layer, the interlayer and the plastic layer, the processor can send posture data to the server for comparison and judgment through pressing of the motion sensing plate and data acquisition of the camera, and a judgment result is given. Need not the professional like this and carry out the on-the-spot training, practiced thrift manpower resources, utilize pressure sensor, distance sensor's use in addition, can detect the dynamics when pressing and the degree of depth of pressing, the cooperation treater handles the analysis to calculate through algorithm software, can grade the experimenter, improved the intelligence and the functionality of device.
Drawings
FIG. 1 is a top view of a mold of the present invention;
FIG. 2 is an internal view of the model of the present invention;
FIG. 3 is a diagram of a control system of the present invention;
fig. 4 is a structure view of the motion sensing panel of the present invention.
In the figure: the human body model comprises a human body model 1, a human body sensing plate 2, a human-computer interaction screen 3, a camera 4, a sound 5, a power supply module 6, a reset spring 7, a pressure plate 8, a distance sensor 9, a pressure sensor 10, a processor 11, a multi-element resin surface layer 12, a conductive layer 13, a fixed layer 14, an interlayer 15 and a plastic layer 16.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail below with reference to the following examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1-4, the embodiment provides an intelligent recognition comparison training system, which includes a human body model 1, a human body model 2 movably mounted on the human body model 1, a human-computer interaction screen 3 mounted on one side of the human body model 2, a sound box 5 mounted on the other side of the human body model 2, cameras 4 symmetrically mounted on two sides of the human-computer interaction screen 3, a return spring 7 fixed at the bottom of the human body model 2, a pressing plate 8 fixed at the bottom of the return spring 7, pressure sensors 10 mounted at the bottoms of the pressing plates 8 and connected with the inner bottom of the human body model 1, a distance sensor 9 fixed at the middle position of the top of the pressing plate 8, a power module 6 fixed at the inner top of the human body model 1, a processor 11 mounted at the bottom of the human body model 1, and output ends of the human body model 2, the cameras 4, the distance sensor 9 and the pressure sensor 10 electrically connected with the processor 11, and the output end of the processor 11 is electrically connected with the man-machine interaction screen 3 and the power module 6. The processor is connected with the wireless communication module, and the wireless communication module is preferably an internet module, such as a WIFI module or a network module. The processor is used for transmitting the acquired camera data, the acquired distance sensor data and the acquired pressure sensor data to a remote server as real-time posture data through the wireless communication module, and the remote server is preferably connected with the Internet, so that the connection with a plurality of human body models can be realized. The remote server stores comparison posture data, the comparison posture data comprise camera data, distance sensor data and pressure sensor data which are used for comparison, and the remote server is used for comparing the received real-time posture data with the comparison posture data and giving a comparison result. The comparison result can be sent to the processor, and the processor can display the comparison result on the display screen in real time, so that personnel can conveniently obtain the comparison result in real time.
There are several ways to calculate the alignment results: as an alternative example, the alignment result may be obtained as follows: the remote server acquires the arm position according to the camera data, acquires the pressing strength according to the pressure sensor, acquires the pressing depth according to the distance sensor data, and is related to the time. And then comparing the gesture data with the database comparison gesture data of the remote server according to the time sequence. And acquiring the comparison result of the arm position, the pressing strength and the pressing depth, and finally outputting the whole comparison result according to different weight values of the arm position, the pressing strength and the pressing depth. The comparison result time and the comparison result value of the single item are compared with the comparison time and the comparison result value, and the comparison mode has a plurality of existing comparison modes, such as singing scoring. The value of a single item is used as the singing sound height, the singing scoring algorithm can be directly applied to carry out integral scoring, and the integral scoring is used as a single item comparison result, so that the method can be quickly realized. The value of the arm position may be the coordinates of the position of the arm in the lateral or longitudinal direction. The position of the arm is recognized through the camera, the existing gesture recognition technology can be completely realized, and the repeated description is omitted.
Preferably: the remote server is used for acquiring the comparison posture data acquisition command, and then the remote server takes the received real-time posture data as the comparison posture data. Therefore, comparison posture data can be established on the remote server, and professional personnel can operate the human body model when the comparison posture data are established, so that the comparison posture data are more standard.
Preferably: the remote server is used for comparing the received real-time posture data with the multiple groups of comparison posture data and giving an average comparison result. This reduces the error between different persons.
In this embodiment, as shown in fig. 4, the motion sensing panel 2 includes a multi-component resin surface layer 12, a conductive layer 13 and a fixing layer 14, the bottom of the multi-component resin surface layer 12 is provided with the conductive layer 13, the bottom of the conductive layer 13 is provided with the fixing layer 14, the top of the multi-component resin surface layer 12 is provided with an interlayer 15, the top of the interlayer 15 is provided with a plastic layer 16, the conductive layer and the fixing layer inductor on the surface of the multi-component resin surface layer 12 are divided by a plurality of tiny interlayers, a current passes through the surface layer, when the surface layer is lightly touched and pressed down, the bottom layer is touched, and the controller reads out corresponding currents from four corners and calculates the distance of.
In this embodiment, as shown in fig. 1, the top of the human body model 1 is provided with a through groove matched with the body sensing plate 2, so that the body sensing plate 2 can be conveniently lifted.
In this embodiment, as shown in fig. 1, the top of the human body model 1 is provided with a containing groove matched with the camera 4, and the inside of the containing groove is provided with a slide block, the slide block is fixedly connected with the camera 4, so that the camera 4 is conveniently contracted, and the damage of the camera 4 is avoided.
In this embodiment, as shown in fig. 1, the edges and corners of the outer side of the manikin 1 are provided with rubber pads, so that the protection performance of the device is improved, and the rubber hanging is prevented from breaking.
In this embodiment, as shown in fig. 2, four sets of return springs 7 are provided, and the return springs 7 are all at the corners of the motion sensing plate 2, so that the return effect of the motion sensing plate 2 is improved, and the human body is perfectly restored.
As shown in fig. 1 to fig. 4, the working process of the intelligent recognition comparison training system provided in this embodiment is as follows:
place manikin 1 steadily, then the hand is pressed on body sensing board 2, body sensing board 2 contact pressing signal to transmit the inside of treater 11, calculate and press the pressure intensity size, the dynamics when specifically utilizing pressure sensor 10 to detect to press, and detect the degree of depth of pressing through distance sensor 9, the result of detection all passes through treater 11. Meanwhile, in the detection process, the camera 4 can be taken out, the motion of the experimenter is detected by the camera 4, and the motion is transmitted to the processor 11. The processor sends the score to the remote server again, carries out score judgment through data comparison, then displays the comparison result on the man-machine interaction screen 3, issues a command through controlling the man-machine interaction screen 3 when voice prompt is needed, processes the signal through the processor 11, controls the starting of the sound 5, and carries out score reading. Preferably, the remote server can send standard rhythm sounds for training to the processor, and the processor can control the sound box to play the standard rhythm sounds, so that personnel can conveniently train.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.

Claims (8)

1. The utility model provides a training system is compared in intelligent discernment which characterized in that: the human body model comprises a human body model, wherein a body sensing plate is movably mounted on the human body model, a human-computer interaction screen is mounted on one side of the body sensing plate, a sound box is mounted on the other side of the body sensing plate, cameras are symmetrically mounted on two sides of the human-computer interaction screen, a reset spring is fixed at the bottom of the body sensing plate, a pressing plate is fixed at the bottom of the reset spring, pressure sensors are mounted at the bottoms of the pressing plates and are connected with the inner bottom of the human body model, a distance sensor is fixed at the middle position of the top of the pressing plate, a power supply module is fixed at the inner top of the human body model, a processor is mounted at the bottom of the human body model, the output ends of the body sensing plate, the cameras, the distance sensor and the pressure sensors are electrically connected with the processor, the output end of the processor is electrically connected with the human-computer interaction screen and, the processor is used for transmitting the acquired camera data, the acquired distance sensor data and the acquired pressure sensor data to the remote server as real-time posture data through the wireless communication module, the remote server stores comparison posture data, the comparison posture data comprise the camera data, the acquired distance sensor data and the acquired pressure sensor data, the comparison posture data comprise the camera data, the comparison posture data and the acquired pressure sensor data, and the remote server is used for comparing the received real-time posture data with the comparison posture data and giving a comparison result.
2. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: the remote server is used for acquiring the comparison posture data acquisition command, and then the remote server takes the received real-time posture data as the comparison posture data.
3. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: the remote server is used for comparing the received real-time posture data with the multiple groups of comparison posture data and giving an average comparison result.
4. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: the body feeling board comprises a multi-element resin surface layer, a conducting layer and a fixing layer, wherein the conducting layer is arranged at the bottom of the multi-element resin surface layer, the fixing layer is arranged at the bottom of the conducting layer, an interlayer is arranged at the top of the multi-element resin surface layer, and a plastic layer is arranged at the top of the interlayer.
5. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: the top of the human body model is provided with a through groove matched with the motion sensing plate.
6. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: the top of manikin is provided with and accomodates the groove with camera complex, and accomodate inslot portion and be provided with the slider, slider and camera fixed connection.
7. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: the outer edges of the human body model are provided with rubber pads.
8. The system for intelligent recognition, alignment and training as claimed in claim 1, wherein: reset spring is provided with four groups, and reset spring all is the corner with the body panel.
CN202010994842.9A 2020-09-21 2020-09-21 Intelligent recognition comparison training system Withdrawn CN111899593A (en)

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CN202010994842.9A CN111899593A (en) 2020-09-21 2020-09-21 Intelligent recognition comparison training system

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Application Number Priority Date Filing Date Title
CN202010994842.9A CN111899593A (en) 2020-09-21 2020-09-21 Intelligent recognition comparison training system

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113240964A (en) * 2021-05-13 2021-08-10 广西英腾教育科技股份有限公司 Cardiopulmonary resuscitation teaching machine
CN113299144A (en) * 2021-06-21 2021-08-24 深圳妙创医学技术有限公司 Automatic error correction intelligent training system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113240964A (en) * 2021-05-13 2021-08-10 广西英腾教育科技股份有限公司 Cardiopulmonary resuscitation teaching machine
CN113299144A (en) * 2021-06-21 2021-08-24 深圳妙创医学技术有限公司 Automatic error correction intelligent training system

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Application publication date: 20201106