CN116734664A - Shooting training auxiliary method, device and system based on multidimensional sensing analysis - Google Patents
Shooting training auxiliary method, device and system based on multidimensional sensing analysis Download PDFInfo
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- CN116734664A CN116734664A CN202310744481.6A CN202310744481A CN116734664A CN 116734664 A CN116734664 A CN 116734664A CN 202310744481 A CN202310744481 A CN 202310744481A CN 116734664 A CN116734664 A CN 116734664A
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- 238000012549 training Methods 0.000 title claims abstract description 207
- 238000004458 analytical method Methods 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000036387 respiratory rate Effects 0.000 claims abstract description 26
- 230000035945 sensitivity Effects 0.000 claims description 15
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 10
- 210000000707 wrist Anatomy 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 15
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- 238000007726 management method Methods 0.000 description 4
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- 238000007405 data analysis Methods 0.000 description 2
- 238000013136 deep learning model Methods 0.000 description 2
- 238000010304 firing Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000000241 respiratory effect Effects 0.000 description 2
- 238000010835 comparative analysis Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41A—FUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
- F41A33/00—Adaptations for training; Gun simulators
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The application relates to the technical field of shooting training, in particular to a shooting training assisting method, device and system based on multidimensional sensing analysis. The shooting training assisting method based on multidimensional sensing analysis comprises the following steps: collecting multidimensional data; wherein the multi-dimensional data comprises: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer; analyzing the multidimensional data to obtain the training state of the trainer; and sending prompt information corresponding to the training state so as to assist the trainer in training. The training device can better determine the actual training state of the trainer by acquiring multidimensional data, and then prompts the trainer based on the actual training state of the trainer to assist the trainer in shooting training. In the process, the training aid is mainly assisted by related equipment, so that more comprehensive and more targeted assistance is provided for a trainer, and the training effect is improved.
Description
Technical Field
The application relates to the technical field of shooting training, in particular to a shooting training assisting method, device and system based on multidimensional sensing analysis.
Background
The firing training can quickly raise the firing level of the light weapon of the training person. However, in the existing shooting training process, a trainer needs to be relied on for teaching demonstration and oral guidance, so that the trainer is guided to perform shooting training.
However, in the process that a trainer guides a trainer to conduct shooting training, the trainer is generally guided based on own observation, and is limited by the level and observation precision of the trainer, and the given guidance is not necessarily suitable for the trainer, so that the training effect is poor.
Disclosure of Invention
Based on the above, it is necessary to provide a shooting training assisting method, device and system based on multidimensional sensing analysis to improve training effect of shooting training.
The embodiment of the application is realized by adopting the following technical scheme:
based on the first aspect of the application, a shooting training assisting method based on multidimensional sensing analysis is provided, comprising the following steps:
collecting multidimensional data; wherein the multi-dimensional data comprises: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer;
analyzing the multidimensional data to obtain the training state of the trainer;
and sending prompt information corresponding to the training state so as to assist the trainer in training.
In some embodiments, the analyzing the multi-dimensional data to obtain the training status of the trainer includes:
determining whether a trainer press trigger pressure is stable based on the trainer press trigger pressure data;
determining whether the heart rate of the trainer is stable based on the heart rate data of the trainer;
determining whether the respiratory rate of the trainer is stable based on the respiratory rate data of the trainer;
wherein the training state comprises: whether the pressure of the pressing trigger of the trainer is stable, whether the heart rate of the trainer is stable and whether the respiratory rate of the trainer is stable.
In some embodiments, the trainer's press trigger pressure data includes the last N acquired pressure values; wherein N is a positive integer greater than 1;
the determining whether the trainer pressing trigger pressure is stable based on the trainer pressing trigger pressure data comprises:
calculating the average value of the pressure values acquired last N times;
if the absolute value of the difference between the last 1 acquired pressure value and the mean value is greater than the alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is unstable;
if the absolute value of the difference between the last 1 acquired pressure value and the mean value is not greater than the alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is stable.
In some embodiments, the sending the prompt information corresponding to the training state includes:
if the training state comprises that the pressure of the pressing trigger of the trainer is stable, a first prompt message is sent; wherein, the first prompt message includes: the first preset indicator light is on;
if the training state comprises that the pressure of the pressing trigger of the trainer is unstable, a second prompt message is sent; wherein, the second prompt message includes: the second preset indicator light is on, and the sounding device is preset to sound.
In some embodiments, further comprising:
acquiring user login information;
verifying the user login information;
after the user login information passes verification, determining user account configuration information based on the user login information; the user account configuration information comprises parameter information used in determining a training state;
correspondingly, the analyzing the multidimensional data to obtain the training state of the trainer comprises the following steps:
and analyzing the multidimensional data in combination with the user account configuration information to obtain the training state of the trainer.
In some embodiments, the user login information includes: fingerprint information and/or account password information.
In some embodiments, further comprising:
deriving the multi-dimensional data; and/or the number of the groups of groups,
uploading the multi-dimensional data to a preset data center; and/or the number of the groups of groups,
generating a statistical report based on the multidimensional data and displaying the statistical report; and/or the number of the groups of groups,
and storing the multi-dimensional data, analyzing the multi-dimensional data, and making training suggestions based on the analysis result.
Based on a second aspect of the present application, there is provided a shooting training assistance apparatus based on multidimensional sensing analysis, comprising:
the system comprises a multidimensional sensing module, a prompting module and a processor;
the multidimensional sensing module is used for collecting multidimensional data; the multi-dimensional data includes: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer;
the processor is respectively connected with the multidimensional sensing module and the prompting module and is used for analyzing the multidimensional data to obtain the training state of the trainer, and the prompting module is controlled to send out prompting information corresponding to the training state so as to assist the trainer to train;
the multidimensional sensing module comprises: a film pressure sensor arranged on the inner side of the trigger and a heart rate respiration sensor used for being worn on the wrist of a trainer;
the film pressure sensor is used for collecting pressure data of a pressing trigger of a trainer;
the heart rate and respiration sensor is used for collecting heart rate data of a trainer and respiratory rate data of the trainer.
In some embodiments, further comprising: the fingerprint input module is connected with the processor;
the fingerprint input module is used for collecting fingerprint information of a user and transmitting the fingerprint information to the processor;
the processor is used for determining user account configuration information based on the fingerprint information; wherein the user account configuration information includes parameter information used in determining a training state.
Based on a third aspect of the present application, there is provided a shooting training assistance system based on multidimensional sensing analysis, comprising: the shooting training auxiliary device based on multidimensional sensing analysis and the background control center provided by the second aspect of the application;
the background control center is in communication connection with the shooting training auxiliary device for multidimensional sensing analysis and is used for assisting the shooting training auxiliary device for multidimensional sensing analysis to manage user account login information and user account configuration information, store multidimensional data, count multidimensional data and analyze multidimensional data.
In the shooting training auxiliary method based on multidimensional sensing analysis, firstly, multidimensional data are collected; wherein the multi-dimensional data comprises: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer; analyzing the multidimensional data to obtain the training state of the trainer; and sending prompt information corresponding to the training state so as to assist the trainer in training. The training device can better determine the actual training state of the trainer by acquiring multidimensional data, and then prompts the trainer based on the actual training state of the trainer to assist the trainer in shooting training. In the process, the training aid is mainly assisted by related equipment, so that more comprehensive and more targeted assistance is provided for a trainer, and the training effect is improved.
Drawings
FIG. 1 is a flow diagram of a shooting training assistance method based on multidimensional sensing analysis in one embodiment;
FIG. 2 is a partial flow diagram of a shooting training assistance method based on multidimensional sensing analysis in one embodiment;
FIG. 3 is a partial flow diagram of a shooting training assistance method based on multidimensional sensing analysis in one embodiment;
FIG. 4 is a schematic diagram of a shooting training assistance apparatus based on multidimensional sensing analysis in one embodiment;
FIG. 5 is a schematic diagram of a shooting training assistance system based on multidimensional sensing analysis in one embodiment.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Fig. 1 is a flow chart of a shooting training assistance method based on multidimensional sensing analysis in one embodiment, referring to fig. 1, the shooting training assistance method based on multidimensional sensing analysis includes:
step S110, collecting multidimensional data; wherein the multi-dimensional data comprises: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer;
in the scheme provided by the application, the auxiliary basis is multi-dimensional data. Based on this, in practical application, in order to better grasp the actual training state of the trainer to perform better assistance, data of each dimension needs to be collected as comprehensively as possible.
Further, in practical application, if the acquired data is too much, the subsequent analysis process is complicated, not only the subsequent analysis process is slower, but also higher requirements are put forward on hardware.
Specifically, in practical application, the pressure data of the pressing trigger of the trainer can be collected through the film pressure sensor arranged on the inner side of the trigger, and the heart rate data of the trainer and the respiratory rate data of the trainer can be collected through the heart rate respiratory sensor worn on the wrist of the trainer.
Step S120, analyzing the multidimensional data to obtain the training state of the trainer;
it should be noted that, the training state refers to a state of a trainer when training, and specifically, the training state may include: whether the pressure of the pressing trigger of the trainer is stable, whether the heart rate of the trainer is stable and whether the respiratory rate of the trainer is stable. These conditions have a great influence on the accuracy of the shooting, and based on this, in the solution provided by the application, the multidimensional data are analyzed to determine the above-mentioned conditions of the trainee.
And step S130, sending out prompt information corresponding to the training state so as to assist the trainer in training.
It should be noted that, in practical application, the process of pulling the trigger may be slower for more accurate shooting, and in general, the process of pulling the trigger may take 1-10 seconds, and in this process, the trainer may continuously adjust the state of the trainer according to more prompt information, so as to improve the training effect.
Furthermore, the prompt information not only can prompt the state of the trainer, but also can inform the trainer of a specific training mode. For example, the training state of the trainer can be prompted by sending out different acousto-optic prompts, the voice prompt can be sent out, and the trainer is informed of how to adjust in the current training state through voice so as to better assist the trainer to train.
So set up, avoided the teaching demonstration and the oral direction of train person under the traditional training mode for training is not limited by the level and the quantity of train person, can be through the better actual training state of confirm training person of multidimensional data, later carry out the suggestion based on training person's actual training state, supplementary training person carries out shooting training. In the process, the training aid is mainly assisted by related equipment, so that more comprehensive and more targeted assistance is provided for a trainer, and the training effect is improved.
The following describes the scheme provided by the application with reference to a specific embodiment, which is specifically as follows: specifically, referring to fig. 2, step S120 of analyzing the multidimensional data to obtain a training state of the trainer includes:
step S121, determining whether the pressing trigger pressure of the trainer is stable or not based on the pressing trigger pressure data of the trainer;
step S122, determining whether the heart rate of the trainer is stable or not based on the heart rate data of the trainer;
step S123, determining whether the respiratory rate of the trainer is stable based on the respiratory rate data of the trainer.
In practical application, the pressure, the heart rate and the respiratory rate are all a few problems which are concerned by the trainee, and the stability of the pressure, the heart rate and the respiratory rate can effectively improve the accuracy of shooting. Based on the above, the scheme provided by the application focuses on whether the aspects of pressure, heart rate and respiratory rate are stable or not, prompts are given to the training person based on the analysis result (namely, the training state comprises whether the pressure of the pressing trigger of the training person is stable or not, whether the heart rate of the training person is stable or not and whether the respiratory rate of the training person is stable or not), and the training person is assisted in training.
Specifically, in practical applications, the pressure data of the pressing trigger of the trainer is collected based on a film pressure sensor provided inside the trigger. In the process of collecting, the processor receives pressure data sent by the film pressure sensor according to preset frequency. The pressing trigger pressure data of the trainer comprises pressure values acquired for the last N times; wherein N is a positive integer greater than 1.
Specifically, referring to fig. 3, determining whether the trainer pressing trigger pressure is stable based on the trainer pressing trigger pressure data in step S121 includes:
step S1211, calculating the mean value of the last N acquired pressure values;
specifically, N may be 5, and at this time, the formula for calculating the average value is as follows:
Pe＝(P1+P2+P3+P4+P5)/5；
wherein, P1, P2, P3, P4 and P5 are the pressing trigger pressure acquired for the last 5 times, and Pe is the average value.
Step S1212, if the absolute value of the difference between the pressure value acquired last 1 time and the mean value is greater than the alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is unstable;
step S1213, if the difference between the last 1 acquired pressure value and the average value is not greater than the alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is stable.
In practical application, specific values of the alarm sensitivity parameters can be adjusted based on practical situations, for example, different trainers or different training phases have different requirements on stability of pressure, and based on the specific values, different alarm sensitivity parameters can be set for different trainers or different training phases.
Specifically, when executing step S122 and step S123, a determination needs to be made to determine whether the absolute value of the difference between the last 1 collected pressure value and the mean value is the alarm sensitivity parameter, and in practical applications, there are various implementation manners, for example: reference may be made to the following manner:
defining an alarm sensitivity parameter as X, and comparing the pressure value P1 acquired last 1 time with Pe+ X, pe-X;
if Pe-X is less than or equal to P1 and less than or equal to Pe+X, the absolute value of the difference value between the last 1 acquired pressure value and the mean value is not greater than an alarm sensitivity parameter, and determining the training state comprises: the pressure of the pressing trigger of the trainer is stable;
if P1> pe+x or P1< Pe-X, then indicating that the absolute value of the difference between the last 1-acquisition pressure value and the mean value is greater than an alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is unstable;
in practical applications, the pressure stability of the trigger pressed by the trainer and the pressure instability of the trigger pressed by the trainer are two repulsive states, namely, the training state can only comprise one of the conditions of "pressure stability of the trigger pressed by the trainer" and "pressure instability of the trigger pressed by the trainer".
Correspondingly, step S130, sending out prompt information corresponding to the training state to assist the trainer in training, includes:
if the training state comprises that the pressure of the pressing trigger of the trainer is stable, a first prompt message is sent; wherein, the first prompt message includes: the first preset indicator light is on; if the training state comprises that the pressure of the pressing trigger of the trainer is unstable, a second prompt message is sent; wherein, the second prompt message includes: the second preset indicator light is on, and the sounding device is preset to sound.
Still exemplified by the case mentioned in the above steps: when the pressure of the pressing trigger of the trainer is stable, the first preset indicator lamp can be controlled to be on; in practical application, the first indicator light may be a green light, i.e.: when the pressure of the pressing trigger of the trainer is stable, green light is emitted to prompt the trainer, and the pressure is stable at the moment, so that the current pressure can be maintained; when the pressure of the pressing trigger of the trainer is unstable, the second preset indicator light can be controlled to be on, and in practical application, the first indicator light can be a red light, namely: when the pressure of the pressing trigger of the trainer is unstable, red light is emitted to prompt the trainer, and at the moment, the pressure is unstable and needs to be further adjusted. Meanwhile, in order to better prompt the trainer about the state at the moment, the preset buzzer device can be controlled to generate beeping sounds so as to prompt the trainer about the pressure to be regulated at the moment through multiple sense organs. In practical application, can carry out integrated setting to first pilot lamp and second pilot lamp, namely: the first indicator light and the second indicator light are integrally arranged into a lamp capable of emitting red and green lights.
It should be emphasized that, in practical applications, the specific indication manner and the actual content of the training state may be further adjusted based on the actual situation, for example, the training state may further include: the pressure value of the last 1 collection is too large or the pressure value of the last 1 collection is too small; if the pressure value acquired for the last 1 times is too large, a sharper sound can be emitted for prompting, and if the pressure value acquired for the last 1 times is too small, a lower sound can be emitted for prompting.
Furthermore, the scheme provided by the application not only can assist in training, but also can display the data of the trainee during training after training so as to enable relevant personnel to analyze the data, thereby better correcting errors in training of the trainee and providing more targeted guidance for the trainee.
Specifically, in the scheme provided by the application, the method further comprises the following steps:
deriving the multi-dimensional data; and/or uploading the multidimensional data to a preset data center; and/or generating a statistical report based on the multidimensional data and displaying the statistical report; and/or storing the multi-dimensional data, analyzing the multi-dimensional data, and making training advice based on the result of the analysis.
Specifically, "deriving the multi-dimensional data" refers to deriving the multi-dimensional data to other devices through a preset interface, so that related personnel can analyze and process the data in the other devices.
Uploading the multidimensional data to a preset data center means that the multidimensional data is uploaded to the preset data center, so that related personnel can directly obtain the multidimensional data in the preset data center to analyze the multidimensional data.
Generating a statistical report based on the multidimensional data and displaying the statistical report; the' means that the training data of the user is counted according to time or score and the like as required, so that a coach can conveniently know the training level and the training difficulty of the user. It should be noted that this process may be performed locally on the device or may be performed at a preset data center.
"storing the multi-dimensional data, analyzing the multi-dimensional data, and making training advice based on the results of the analysis" refers to storing the multi-dimensional data locally or in a data center, and making training advice based on big data analysis. Wherein the big data analysis is based on historical training data of a large number of trainers. Specifically, a deep learning model may be used to learn based on a large number of training data histories of the trainers, and then the deep learning model analyzes the multidimensional data and makes training suggestions based on the analysis result.
Specifically, in practical applications, the same set of equipment may need to provide services for multiple trainers, based on which, in order to distinguish different trainers, different trainers may be distinguished by creating an account for each trainer.
Specifically, when training is performed, a trainer logs in to an account of the trainer, then the film pressure sensor is attached to the inner side of the trigger, the position of the film pressure sensor is at the point that the right index finger belly is attached to the trigger most tightly, the heart rate respiration sensor wrist is worn on the left wrist part and is attached to the inner side of the wrist, and then training is started in a normal gun posture. And adjusting based on the prompt information when training is performed so as to achieve a better training effect. Specifically, the user may also set "parameter information used in determining the training state" by himself in advance. Thus, parameters used in determining training states are more consistent with the actual conditions of the trainers, and the parameter information can be bound with the accounts of the trainers. Namely: after verifying the user login information, determining user account configuration information based on the user login information; the user account configuration information comprises parameter information used in determining a training state; and then directly utilizing the parameter information in the user account configuration information to determine the training state of the trainer. The setting does not need to modify the alarm sensitivity parameter when the user trains each time, and the use experience of the user is improved
Fig. 4 is a schematic structural diagram of a shooting training assistance apparatus based on multidimensional sensing analysis in one embodiment, referring to fig. 4, the shooting training assistance apparatus based on multidimensional sensing analysis includes:
the system comprises a multidimensional sensing module 1, a processor 2 and a prompting module 3;
the multidimensional sensing module 1 is used for collecting multidimensional data; the multi-dimensional data includes: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer;
the processor 2 is respectively connected with the multidimensional sensing module 1 and the prompting module 3, and is used for analyzing the multidimensional data to obtain the training state of the trainer, and controlling the prompting module to send out prompting information corresponding to the training state so as to assist the trainer to train.
So set up, avoided the teaching demonstration and the oral direction of train person under the traditional training mode for training is not limited by the level and the quantity of train person, can be through the better actual training state of confirm training person of multidimensional data, later carry out the suggestion based on training person's actual training state, supplementary training person carries out shooting training. In the process, the training aid is mainly assisted by related equipment, so that more comprehensive and more targeted assistance is provided for a trainer, and the training effect is improved.
Specifically, the multidimensional sensing module 1 includes: a film pressure sensor 11 arranged on the inner side of the trigger and a heart rate respiration sensor 12 for wearing on the wrist of the trainer;
the film pressure sensor is used for collecting pressure data of a pressing trigger of a trainer;
the heart rate and respiration sensor is used for collecting heart rate data of a trainer and respiratory rate data of the trainer.
Further, the shooting training assisting device based on the multidimensional sensing analysis further comprises: a fingerprint input module 4 connected with the processor; the fingerprint input module is used for collecting fingerprint information of a user and transmitting the fingerprint information to the processor; the processor is used for determining user account configuration information based on the fingerprint information; wherein the user account configuration information includes parameter information used in determining a training state.
Further, in the solution provided by the present application, the prompting module 3 includes: a two-color LED31 and a buzzer 32;
furthermore, the shooting training auxiliary device for multidimensional sensing analysis provided by the application can further comprise: a serial port download interface 42, a memory card module 43, a touch display screen 44 and a voice broadcast module 45;
the serial port download interface 42 is used for externally connecting other devices so as to facilitate the derivation of multi-dimensional data;
a memory card module 43 for storing multi-dimensional data;
the touch display screen 44 is used for interacting with a user, acquiring information input by the user and displaying the information to the user.
The voice broadcasting module 45 is configured to broadcast voice for interaction by a user, and further may be used as a part of the prompting module to send some prompting information.
Furthermore, the shooting training auxiliary device for multidimensional sensing analysis provided by the application can further comprise: and the battery supplies power for all the electric appliances in the shooting training auxiliary device for the multidimensional sensing analysis.
Specifically, in practical application, the application method of the shooting training auxiliary device based on multidimensional sensing analysis is as follows:
fingerprint input: firstly, a user performs man-machine interaction based on a touch display screen, enters a fingerprint input interface, then enters a personal account name in a screen input field after entering the fingerprint input interface, and then enters fingerprints twice on a fingerprint module according to a screen prompt, so that the personal account can be successfully established.
And (3) account login: the user performs man-machine interaction based on the touch display screen, enters an account login interface, performs fingerprint verification on the fingerprint module according to the screen prompt, and can successfully enter the personal account. It should be noted that, after entering the personal account, the user may perform some parameter settings based on his actual situation, for example: parameters used in determining the training state. In practical applications, the user may perform configuration of parameters in various aspects, such as a display brightness parameter, a volume parameter of a prompt tone, and the like, which are not exemplified here.
When a user starts training, the specific flow comprises the following steps:
after a user enters a training starting interface, the film pressure sensor is attached to the inner side of the trigger, the position of the film pressure sensor is at the point that the right index finger belly is attached to the trigger most tightly, the heart rate respiration sensor wrist belt is worn on the left wrist part and is attached to the inner side of the wrist, and then training is started in a normal gun posture. Each time the trigger is actuated, the LCD touch screen will display a real-time pressure profile, respiratory rate and heart rate. When the pressure change is stable and the breathing heart rate is normal, the green light of the bicolor LED lamp is normally on, and when the pressure change is too fast or the heart rate and the breathing are unstable, the bicolor LED lamp turns red and the buzzer sends out a drip warning sound. After the trigger is closed each time, the user can store the shooting data in the personal account by using the key on the screen (stored data), so that the shooting data can be conveniently checked at any time. The trainer or the user can use the [ sensitivity adjustment ] buttons on the screen to adjust parameters such as the alarm sensitivity parameters of the device, so that the training organization is more flexible.
After training is completed, the trainer can also check the historical data (namely the historical multidimensional data), the user enters a historical data checking interface, the user inputs the name and ID number of the user in an input field, the historical data can be checked, the historical data is displayed on an LCD screen in a curve reproduction mode, and the user can touch a page turning button to check a plurality of historical records.
Fig. 5 is a schematic structural diagram of a shooting training assistance system based on multidimensional sensing analysis in one embodiment, and referring to fig. 5, the shooting training assistance system based on multidimensional sensing analysis includes:
the shooting training auxiliary device 51 based on multidimensional sensing analysis provided in the above embodiment, and the background control center 52;
the background control center 52 is in communication connection with the shooting training assisting device 51 for multidimensional sensing analysis, and is used for assisting the shooting training assisting device for multidimensional sensing analysis to manage user account login information and user account configuration information, store multidimensional data, count multidimensional data and analyze multidimensional data.
Specifically, the background control center 52 may communicate with the shooting training auxiliary device 51 for multidimensional sensing analysis through a usb serial port;
the background control center 52 is responsible for data collection analysis and unified management of the whole system, including account management, device management, data management, function management, and the like.
Specifically, the user training data stored in the shooting training auxiliary devices 51 of each multidimensional sensing analysis may be uploaded to a background control center, user training file information is established, and the background control center may propose training advice by performing comparative analysis on the user history data. The background control center can also perform functional configuration on each training auxiliary device, so that the equipment maintenance efficiency and expansibility are improved. The background control center can also generate a statistical report. After receiving the uploaded user training information, the background control center can count the user training data according to time or score and the like as required, so that a coach can conveniently know the training level and training difficulty of the user.
In the scheme provided by the application, the shooting training auxiliary system based on multidimensional sensing analysis systematically collects, quantifies and analyzes information such as respiratory heart rate, pressing force and the like of a shooter during light weapon shooting training by utilizing multidimensional sensing means for the first time, comprehensively data the shooting process, and can help a coach to quickly and accurately master the technical level of the shooter and develop teaching training in a targeted manner. The background control center can analyze big data, help an administrator to comprehensively and accurately master the unit shooting training level, and carry out training planning in a certain direction. Meanwhile, the shooting training auxiliary device based on multidimensional sensing analysis is small and portable, low in cost, capable of distributing a large amount of shooting training auxiliary devices, and capable of effectively and rapidly improving training level.
It should be noted that the terms "first," "second," and the like herein are not limited to a specific order, but merely serve to distinguish between components or functions.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.
While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. A shooting training assistance method based on multidimensional sensing analysis, comprising:
collecting multidimensional data; wherein the multi-dimensional data comprises: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer;
analyzing the multidimensional data to obtain the training state of the trainer;
and sending prompt information corresponding to the training state so as to assist the trainer in training.
2. The shooting training assist method based on multidimensional sensing analysis as recited in claim 1, wherein the training state comprises: whether the pressure of the pressing trigger of the trainer is stable, whether the heart rate of the trainer is stable and whether the respiratory rate of the trainer is stable;
the analyzing the multidimensional data to obtain the training state of the trainer comprises the following steps:
determining whether a trainer press trigger pressure is stable based on the trainer press trigger pressure data;
determining whether the heart rate of the trainer is stable based on the heart rate data of the trainer;
based on the trainer's respiratory rate data, it is determined whether the trainer's respiratory rate is stable.
3. The multi-dimensional perceptual analysis-based shooting training assistance method of claim 2, wherein the trainer's press trigger pressure data comprises the last N acquired pressure values; wherein N is a positive integer greater than 1;
the determining whether the trainer pressing trigger pressure is stable based on the trainer pressing trigger pressure data comprises:
calculating the average value of the pressure values acquired last N times;
if the absolute value of the difference between the last 1 acquired pressure value and the mean value is greater than the alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is unstable;
if the absolute value of the difference between the last 1 acquired pressure value and the mean value is not greater than the alarm sensitivity parameter, determining the training state includes: the pressure of the pressing trigger of the trainer is stable.
4. A shooting training assistance method based on multidimensional sensing analysis as claimed in claim 3, wherein said issuing a prompt message corresponding to the training status comprises:
if the training state comprises that the pressure of the pressing trigger of the trainer is stable, a first prompt message is sent; wherein, the first prompt message includes: the first preset indicator light is on;
if the training state comprises that the pressure of the pressing trigger of the trainer is unstable, a second prompt message is sent; wherein, the second prompt message includes: the second preset indicator light is on, and the sounding device is preset to sound.
5. The shooting training assist method based on multidimensional sensing analysis as recited in claim 1, further comprising:
acquiring user login information;
verifying the user login information;
after the user login information passes verification, determining user account configuration information based on the user login information; the user account configuration information comprises parameter information used in determining a training state;
correspondingly, the analyzing the multidimensional data to obtain the training state of the trainer comprises the following steps:
and analyzing the multidimensional data in combination with the user account configuration information to obtain the training state of the trainer.
6. The shooting training assistance method based on multidimensional sensing analysis as claimed in claim 5, wherein the user login information includes: fingerprint information and/or account password information.
7. The shooting training assist method based on multidimensional sensing analysis as recited in claim 1, further comprising:
deriving the multi-dimensional data; and/or the number of the groups of groups,
uploading the multi-dimensional data to a preset data center; and/or the number of the groups of groups,
generating a statistical report based on the multidimensional data and displaying the statistical report; and/or the number of the groups of groups,
and storing the multi-dimensional data, analyzing the multi-dimensional data, and making training suggestions based on the analysis result.
8. Shooting training auxiliary device based on multidimensional sensing analysis, characterized by comprising:
the system comprises a multidimensional sensing module, a prompting module and a processor;
the multidimensional sensing module is used for collecting multidimensional data; the multi-dimensional data includes: heart rate data of the trainer, respiratory rate data of the trainer, and trigger pressure data of the trainer;
the processor is respectively connected with the multidimensional sensing module and the prompting module and is used for analyzing the multidimensional data to obtain the training state of the trainer, and the prompting module is controlled to send out prompting information corresponding to the training state so as to assist the trainer to train;
the multidimensional sensing module comprises: a film pressure sensor arranged on the inner side of the trigger and a heart rate respiration sensor used for being worn on the wrist of a trainer;
the film pressure sensor is used for collecting pressure data of a pressing trigger of a trainer;
the heart rate and respiration sensor is used for collecting heart rate data of a trainer and respiratory rate data of the trainer.
9. The multi-dimensional perceptual analysis-based shooting training aid as defined in claim 8, further comprising: the fingerprint input module is connected with the processor;
the fingerprint input module is used for collecting fingerprint information of a user and transmitting the fingerprint information to the processor;
the processor is used for determining user account configuration information based on the fingerprint information; wherein the user account configuration information includes parameter information used in determining a training state.
10. A shooting training assistance system based on multidimensional sensing analysis, comprising: a multi-dimensional perceptual analysis-based shooting training aid as defined in claim 8 or 9, and a background control center;
the background control center is in communication connection with the shooting training auxiliary device for multidimensional sensing analysis and is used for assisting the shooting training auxiliary device for multidimensional sensing analysis to manage user account login information and user account configuration information, store multidimensional data, count multidimensional data and analyze multidimensional data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310744481.6A CN116734664A (en) | 2023-06-21 | 2023-06-21 | Shooting training auxiliary method, device and system based on multidimensional sensing analysis |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310744481.6A CN116734664A (en) | 2023-06-21 | 2023-06-21 | Shooting training auxiliary method, device and system based on multidimensional sensing analysis |
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