CN115240517B - Hand key training device and auxiliary training method - Google Patents
Hand key training device and auxiliary training method Download PDFInfo
- Publication number
- CN115240517B CN115240517B CN202210855533.2A CN202210855533A CN115240517B CN 115240517 B CN115240517 B CN 115240517B CN 202210855533 A CN202210855533 A CN 202210855533A CN 115240517 B CN115240517 B CN 115240517B
- Authority
- CN
- China
- Prior art keywords
- hand key
- training
- user
- data
- signal
- 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
Classifications
-
- 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
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/26—Dot-and dash telegraphic codes
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses a hand key training device and an auxiliary training method, and belongs to the field of business training. The device comprises a hand key, a pressure sensor, a laser ranging sensor, a signal processing module and a terminal; the pressure sensor is used for acquiring the force of a user for knocking a hand key; the laser ranging sensor is used for acquiring wrist amplitude variation when a user strikes a hand key; the signal processing module is used for receiving the data of the pressure sensor and the laser ranging sensor in real time, synchronously sampling dot and dash empty information generated by the hand key knocked by a user, and packing and uploading effective data to the terminal; and the terminal is provided with man-machine interaction software, analyzes and processes the data acquired by the pressure sensor and the laser ranging sensor, draws and displays the data, and stores training data. The invention counts the key electric signal interval, the beating force and the wrist activity amplitude of the operator in the training process through quantification, designs a user management mechanism and can assist the operator to carry out the key hand service training under one condition.
Description
Technical Field
The invention belongs to the field of business training, and particularly relates to a hand key training device and an auxiliary training method.
Background
The hand key report is a skill with high skill and complex operation, and consists of various single techniques. The learning content is more, the process is long, and the coordination of the limbs and organs of the user is required to be strong. The research on the beating force of the hand keys and the wrist activity shows that the hand activity is a fine motion in the beating process of the hand keys, the wrist stroke is about 8 cm in the transmitting process, and the fine motion of the hand is required in the small stroke.
In the traditional hand key report training process, only the interval uniformity information of hand key beating signals can be focused, and statistics cannot be quantized aiming at beating force and the amplitude of wrist travel change of a server. Meanwhile, because the shooting habits of each person are not completely consistent, a coach only performs training guidance according to own training experience, and whether the action is proper or not cannot be defined by quantitative standards.
Disclosure of Invention
In order to overcome the technical defects, the invention provides a hand key training device and an auxiliary training method, which are used for solving the problems related to the background technology.
The invention provides a hand key training device and an auxiliary training method, comprising the following steps:
a hand key;
the pressure sensor is arranged at the lower part of the hand key and used for acquiring the force of a user for knocking the hand key;
the laser ranging sensor is arranged obliquely below the hand key and is used for acquiring wrist amplitude change when a user strikes the hand key;
the signal processing module is used for receiving the data of the pressure sensor and the laser ranging sensor in real time, synchronously sampling dot and dash empty information generated by the hand key knocked by a user, and packing and uploading effective data to the terminal;
and the terminal is provided with man-machine interaction software, analyzes and processes the data acquired by the pressure sensor and the laser ranging sensor, draws and displays the data, and stores training data.
Preferably or optionally, the training device further comprises a bending base plate; the surface of the upper part of the bending bottom plate forms a tabletop for installing a hand key, a pressure sensor, a signal processing module and a terminal, and the lower part of the bending bottom plate protrudes outwards for installing a laser ranging sensor.
Preferably or optionally, a telescopic sliding block is arranged at the lower part of the bending bottom plate, and the laser ranging sensor is arranged on the telescopic sliding block, so that the laser ranging sensor is ensured to be just below the wrist of the user.
Preferably or optionally, the hand key is connected with the signal processing module through IO data; the pressure sensor is connected with the signal processing module through analog signal data; the laser ranging sensor is connected with the signal processor through I2C data; the signal processing module is connected with the terminal through USB data.
Preferably or alternatively, the terminal comprises:
the training database is suitable for storing key beating power generation signals, beating force signals and wrist change information of different users and different training periods of the same user;
the identity recognition unit is suitable for acquiring user information and recognizing the user information;
the message importing unit is suitable for importing or/and editing the custom message;
and the hand key signal imaging unit is suitable for fitting standard message electric signals, hand key signals beaten by a user, hand key beating force, wrist activity amplitude and multidimensional data into a curve.
Preferably or optionally, the terminal further comprises:
the correction judging unit is suitable for calling the data in the training database of the user and generating a user training hand information deviation threshold value based on the fitting curve;
and the early warning and warning unit is suitable for calling hardware to warn when the user training has a beat error, beat force deviation or wrist amplitude deviation threshold value, and simultaneously carrying out user prompt training on front-end software to deviate.
Preferably or optionally, the terminal further comprises:
the hand key signal recording and playback unit is suitable for recording aiming at the training process and consulting the force of hand key clapping in a specific time period, and the mean value and variance fitting curve of wrist activity amplitude of the hand key clapping.
The invention also provides an auxiliary training method of the hand key training device, which comprises the following steps:
acquiring user information and calling related information in a training database of the user;
generating or importing a message to be trained, and displaying a standard signal interval waveform according to the content of the message;
acquiring a hand key signal of user clapping, and automatically generating a clapping signal interval waveform diagram, a hand key clapping force fitting diagram, a wrist movement amplitude variation diagram and a three-dimensional data fitting diagram;
generating a user hand key beating power signal, a hand key beating force signal and a threshold value of wrist movement amplitude distance according to a preset time span;
when the user training is judged to have a clapping error, a clapping force deviation or a wrist amplitude deviation threshold, hardware is called to give an alarm, and meanwhile, front-end software is used for prompting the user to train to have a deviation.
Preferably or optionally, the user hand key electric signal threshold value is related to the code speed of the operator, and the standard code speed is used as a threshold value by 10% of a standard plus-minus tolerance.
Preferably or alternatively, the method for generating the hand key beating force signal threshold value and the wrist movement amplitude distance threshold value comprises the following steps:
presetting an AI training model, wherein the AI training model is obtained by carrying out manually marked data training on a small number of samples;
after the AI model is trained for a plurality of rounds, the recognition rate reaches a preset value, the AI training model is preprocessed and marked to be matched with the artificial verification mode, the expansion of a training data set is accelerated, the cost of data sample acquisition is reduced, and finally a threshold judgment standard is formed.
Preferably or alternatively, the method further comprises:
the user can consult the force of the hand key clapping in a specific time period, and the mean value and variance fitting curve of the wrist activity of the hand key clapping, so that the user can conveniently adjust the training mode.
The invention relates to a hand key training device and an auxiliary training method, which have the following beneficial effects compared with the prior art:
1. the training device and the training method based on traditional key training are used for quantifying the hand key beating force and the wrist variation amplitude, so that a trainer can conveniently guide training, standardize the hand key beating posture, effectively improve the training level of a newspaper operator and improve the training effect.
2. The intelligent hand key training device can assist in training through the USB connection terminal, and is convenient to use.
3. The training system provided by the invention has the advantages that the user management system is provided, the threshold value can be adaptively adjusted and judged according to different users and different training periods, the user is intelligently prompted whether the training deviates, and a trainer/user can conveniently adjust the training mode.
4. The invention can quantitatively count the electric key electric signal interval, the beating force and the wrist activity amplitude of the operator in the training process, and design a user management mechanism, so that the operator can be assisted by one person to carry out hand key service training.
Drawings
Fig. 1 is a schematic structural view of a hand key training device in the present invention.
FIG. 2 is a schematic diagram of the hardware connection and use of the hand key training device of the present invention.
FIG. 3 is a schematic diagram of the software design of the hand key training device of the present invention.
The reference numerals are: the device comprises a bending base plate 10, a hand key 20, a pressure sensor 30, a laser ranging sensor 40, a signal processing module 50 and a terminal 60.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced without one or more of these details. In other instances, well-known features have not been described in detail in order to avoid obscuring the invention.
The morse code is a signal code which is turned on and off, and different English letters, numbers and punctuation marks are expressed through different arrangement sequences. Its code includes five kinds: a short dot signal "-" holding a long signal "-" for a certain time, representing a short pause between dots and strokes, a medium pause between each code, and a long pause between groups, the signal duration ratio being 1:3:1:3:5, so that the code rate is based on the electrical signal "-", the duration of the electrical signal ". Cndot." at different code rates is different, for example, the duration of the electrical signal ". Cndot." at 80 codes/min is about 65 ms, the duration of the electrical signal ". Cndot." at 100 codes/min is about 52 ms, and the duration of the electrical signal ". Cndot." at 200 codes/min is about 26 ms.
If the keybars are horizontal, some of the operator's wrist forces are above the horizontal, some are below the horizontal, and most of the operator's forces are parallel to the horizontal. These three phenomena are called: "Up three wire", "Flat three wire", "Down three wire". The wrist is moved to a position higher than the horizontal line and is called an upper three-line high-position hand type, a lower three-line low-position hand type and a horizontal line parallel to the horizontal line and is called a Ping Sanxian horizontal hand type. Further observing the forces of the three hands, two common points can be found, namely that the wrist does not push forwards and pull backwards and stretch outwards and incline inwards when the key is struck, and the wrist moves on three lines. Although the modes of the clapping hands are different, the force modes are approximately the same, so that high-quality messages can be sent.
The three lines refer to the upper, horizontal and lower horizontal lines that the wrist applies force when transmitting. The three lines are three different amplitude lines for the amplitude of wrist activity in the low-speed, medium-speed and high-speed messaging process of three hands. According to the movement amplitude of the wrist displayed on three horizontal lines, the wrist is called as low-speed large three-wire, medium-speed middle three-wire and high-speed small three-wire, so that the rule of wrist exertion in the process of transmitting from low speed, medium speed to high speed is summarized, and the change relation of the transmission speed from low to high, the movement amplitude of the wrist from large to small, the frequency of the amplitude from low to high and the distance of the three-wire from large to small is also reflected.
The hand key is clapped and has close relation with the strength, if the strength is too large, the premature fatigue is caused, and if the strength is too small, a series of problems such as point deficiency and the like are caused, the correct strength can just overcome the resistance of the hand key spring to enable the contact to be closed, and the speed proportion and the contact closing time are suitable for benefits. The demands on hand feel during exercise are very high, for example: the supporting force of the middle finger of a beginner is critical when the middle finger is clapped, if the supporting force is insufficient, the beating force generated by the up-and-down motion of the wrist is consumed at each joint of the finger, so that the beating efficiency generated by the single down-beating action at this time is very low, the contact is closed, the contact cannot be closed (virtual point is generated), if the exercise is poor, the form of the craftsman action can be greatly influenced, the speed and the quality of the report are very difficult to correct. Through the psychological study of students, the students can learn faster if timely feedback can be achieved in the skill forming process.
Based on the above analysis, this embodiment provides a hand key training device, referring to fig. 1 to 2, which includes: the bending base plate 10, the hand key 20, the pressure sensor 30, the laser ranging sensor 40, the signal processing module 50 and the terminal 60;
the surface of the upper part of the bending bottom plate 10 forms a tabletop for installing the hand key 20, the pressure sensor 30, the signal processing module 50 and the terminal 60, and the lower part of the bending bottom plate 10 protrudes outwards for installing the laser ranging sensor 40; the terminal 60 is an embedded terminal 60.
The pressure sensor 30 is disposed at the lower part of the hand key 20, and is used for obtaining the force of the user striking the hand key 20; the force of the operator striking the hand key 20 is converted into an electric signal, the change of the force is sampled in real time, and the data is uploaded to the embedded terminal 60 human-computer interaction software to analyze and process the pressure information.
The laser ranging sensor 40 unit is disposed obliquely below the hand key 20, and is configured to obtain a wrist amplitude change when the user taps the hand key 20, convert the wrist amplitude change when the operator taps the hand key 20 into a digital signal, sample the wrist amplitude change in real time, and upload the data to the embedded terminal 60 man-machine interaction software to analyze and process the amplitude change information. The lower part of the bending bottom plate 10 is provided with a telescopic sliding block, and the laser ranging sensor 40 is arranged on the telescopic sliding block so as to adapt to the requirements of different users and ensure that the laser ranging sensor 40 is just positioned below the wrist of the user.
The signal processing module 50 is configured to receive data of the pressure sensor 30 and the laser ranging sensor 40 in real time, synchronously sample dot and dash information generated by the user clicking the hand key 20, and uniformly package and upload effective data to the embedded terminal 60 through the USB interface, and cooperate with the terminal to implement functions related to man-machine interaction front-end software.
The embedded terminal 60 is provided with man-machine interaction software, analyzes and processes the sensor data, draws and displays the sensor data, and stores training data so as to facilitate rechecking. Specifically, the embedded terminal 60 includes: training database, identification unit, message import unit, hand key signal imaging unit, correction judging unit, early warning and warning unit and hand key signal recording and playback unit. The training database is suitable for storing key clapping power generation signals, clapping force signals and wrist change information of different users and different training periods of the same user; the identity recognition unit is suitable for acquiring user information and recognizing the user information; the message importing unit is suitable for importing or/and editing the custom message; the hand key signal imaging unit is suitable for fitting standard message electric signals, hand key signals beaten by a user, hand key beating force, wrist activity amplitude and multidimensional data into a curve. The correction judging unit is suitable for calling the data in the training database of the user and generating a user training hand information deviation threshold value based on the fitting curve; the early warning and warning unit is suitable for calling hardware to warn when the user training has a beat error, beat force deviation or wrist amplitude deviation threshold, and meanwhile, the front-end software prompts the user to train and deviate. The hand key signal recording and playback unit is suitable for recording aiming at the training process and consulting the force of hand key clapping in a specific time period, and the mean value and variance fitting curve of wrist activity amplitude of the hand key clapping.
Referring to fig. 3, according to the different modes of display, the embedded terminal is divided into a front-end man-machine interaction UI and a back-end signal processing algorithm.
The front-end man-machine interaction UI is used for realizing training operator operation. The front-end man-machine interaction UI comprises: the system comprises a user login interface, a message display interface, a hand key signal graphical interface and a hand key signal recording and playback interface. In the user login interface, a user logs in by using different users, and different user information is identified. The message display interface can display standard message content to be trained and support the importing and editing of the custom message. The hand key signal graphical interface is used for displaying standard message electric signals, hand key signals beaten by the operator, hand key beaten force, wrist activity amplitude and multidimensional data fitting curves. The hand key signals are originally only single high-low level electric signals, and the embodiment integrates the standard hand key electric signals, the hand key signals beaten by the user, the hand key beating force and the wrist activity amplitude data in 4 dimensions to form a multi-dimensional fitting curve on the same time line, so that the hand fine motion change during hand key beating is conveniently observed, the hand motion of the operator in the training process is quantized, the operator is assisted in judging whether the training motion is standard or not, and the beating result is correct or not. The hand key signal recording and playback interface is used for the operator to correct errors for the training process.
The back-end signal processing algorithm is used for realizing the bottom layer algorithm of the training device. The back-end signal processing algorithm includes: user management algorithm, signal processing algorithm and correction judgment algorithm. The user management algorithm can respectively record the key beating power generation signal, the beating strength signal and the wrist change information of different users and different training time periods of the same user by establishing a user training database. Providing data support for subsequent algorithms. The signal processing algorithm integrates hand key signal processing, pressure signal processing, distance signal processing and data fitting algorithms and is used for screening, cleaning and recording the original sampling information. Finally, visual graphic data is output to front-end software to assist a user in judging the training degree. And the correction judgment algorithm calls user database information according to different users or different time periods of the same user, and intelligently generates user training hand information deviation threshold values. When the user trains and generates a clapping error, clapping force deviation or wrist amplitude deviation threshold value, hardware is called to give an alarm, and meanwhile, front-end software is used for prompting the user to train and generate deviation.
In a further embodiment, the hand key 20 is connected with the signal processing module 50 through IO data, and specifically, a 6.5mm interface cable is used for connection; the pressure sensor 30 is connected with the signal processing module 50 through analog signal data; the laser ranging sensor 40 is connected with the signal processor through I2C data; the signal processing module 50 is connected with the embedded terminal 60 through USB data. The hand key signal detection adopts IO pin connection, so that the accuracy is higher, and the signal change of hand key knocking can be accurately judged; the pressure sensor is connected by adopting an analog signal, so that signal acquisition and data conversion are facilitated; the laser ranging sensor adopts I2C data connection, can perform bidirectional high-speed transmission only by 2 wires, and the bus can be connected with a plurality of devices, thereby facilitating system diagnosis and fault debugging; the signal and the embedded terminal are connected by USB, so that the transmission speed is high, the connection is convenient, and the system can be powered.
Based on the above-mentioned hand key training device, this embodiment provides an auxiliary training method, referring to fig. 2, the method includes: acquiring user information and calling related information in a training database of the user; generating or importing a message to be trained, and displaying a standard signal interval waveform according to the content of the message; acquiring a hand key signal of user clapping, and automatically generating a clapping signal interval waveform diagram, a hand key clapping force fitting diagram, a wrist movement amplitude variation diagram and a three-dimensional data fitting diagram; generating a user hand key beating power signal, a hand key beating force signal and a threshold value of wrist movement amplitude distance according to a preset time span; when the user training is judged to have a clapping error, a clapping force deviation or a wrist amplitude deviation threshold, hardware is called to give an alarm, and meanwhile, front-end software is used for prompting the user to train to have a deviation. In addition, the user can review the force of the hand key clapping in a specific time period, and the mean value and variance fitting curve of the wrist activity of the hand key clapping, so that the user can conveniently adjust the training mode.
In order to facilitate the understanding of the technical scheme of the auxiliary training method of the hand key training device, a user is taken as a main body to make a brief description of the auxiliary training method: and opening training terminal key training operation software to log in the user. And selecting the message to be trained from the message interface. And the software interface displays the standard signal interval waveform according to the message content. And executing the hand key clapping training, and automatically generating a clapping signal interval waveform diagram, a hand key clapping force fitting diagram, a wrist movement amplitude variation diagram and a three-dimensional data fitting diagram by software according to hand key signals clapping by an operator. And the software intelligently generates thresholds (a hand key beating power signal, a hand key beating force signal and a wrist movement amplitude distance) of three-dimensional data of the user according to a preset time span, and when any data of the hand activity of the user exceeds the thresholds, software prompt and audible and visual alarm are carried out. Through the hand key signal recording and playback interface, a user can review the average value and variance fitting curve of the hand key beating force in a specific time period, and the training mode can be conveniently adjusted by a coach/user. Through the hand key signal recording and playback interface, a user can review the average value and variance fitting curve of wrist activity amplitude of hand key clapping in a specific time period, and the training mode is convenient for a coach/user to adjust. Through the auxiliary training of using this intelligent hand key trainer for a long time, can effectively promote the operator and train the level, standardize hand key and clap the gesture.
The hand key electric signal threshold value is related to the code speed, and the standard code speed is taken as a standard positive and negative tolerance 10% as a threshold value. The method for generating the hand key beating force signal threshold and the wrist movement amplitude distance threshold comprises the following steps: presetting an AI training model, wherein the AI training model is obtained by carrying out manually marked data training on a small number of samples; after the AI model is trained for a plurality of rounds, the recognition rate reaches a preset value, the AI training model is preprocessed and marked to be matched with the artificial verification mode, the expansion of a training data set is accelerated, the cost of data sample acquisition is reduced, and finally a threshold judgment standard is formed.
According to the generation method, based on the theory of three lines, which is the standard of wrist movement amplitude threshold judgment, the beat strength rule is the standard of force signal threshold judgment, and the AI technology is applied, so that the AI model is trained by manually marking a small amount of samples, when the AI model is trained for a plurality of times and the recognition rate reaches a certain standard, the expansion of a training data set can be accelerated and the cost of data sample acquisition can be reduced in a mode of AI pretreatment marking and artificial verification, benign loops are gradually formed, and finally the threshold judgment standard is formed.
Compared with the traditional key training method, the embodiment has the following advantages:
1. the training device and the training method based on traditional key training are used for quantifying the hand key beating force and the wrist variation amplitude, so that a trainer can conveniently guide training, standardize the hand key beating posture, effectively improve the training level of a newspaper operator and improve the training effect.
2. The intelligent hand key training device can assist in training through the USB connection terminal, and is convenient to use.
3. The training system provided by the invention has the advantages that the user management system is provided, the threshold value can be adaptively adjusted and judged according to different users and different training periods, the user is intelligently prompted whether the training deviates, and a trainer/user can conveniently adjust the training mode.
4. The invention can quantitatively count the electric key electric signal interval, the beating force and the wrist activity amplitude of the operator in the training process, and design a user management mechanism, so that the operator can be assisted by one person to carry out hand key service training.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations of the invention are not described in detail in order to avoid unnecessary repetition.
Claims (9)
1. A hand key training device, comprising:
a hand key;
the pressure sensor is arranged at the lower part of the hand key and used for acquiring the force of a user for knocking the hand key;
the laser ranging sensor is arranged obliquely below the hand key and is used for acquiring wrist amplitude change when a user strikes the hand key;
the signal processing module is used for receiving the data of the pressure sensor and the laser ranging sensor in real time, synchronously sampling dot and dash empty information generated by the hand key knocked by a user, and packing and uploading effective data to the terminal;
the terminal is provided with man-machine interaction software, analyzes and processes the data acquired by the pressure sensor and the laser ranging sensor, draws and displays the data, and stores training data;
the terminal comprises:
the training database is suitable for storing key beating power generation signals, beating force signals and wrist change information of different users and different training periods of the same user;
the identity recognition unit is suitable for acquiring user information and recognizing the user information;
the message importing unit is suitable for importing or/and editing the custom message;
and the hand key signal imaging unit is suitable for integrating the data of 4 dimensions, namely the standard hand key electric signal, the hand key signal beaten by the user, the hand key beating force and the wrist activity amplitude, so as to form a multi-dimensional fitting curve on the same time line.
2. The hand key training device of claim 1, wherein the training device further comprises a bending base plate; the surface of the upper part of the bending bottom plate forms a tabletop for installing a hand key, a pressure sensor, a signal processing module and a terminal, and the lower part of the bending bottom plate protrudes outwards for installing a laser ranging sensor.
3. The hand key training device according to claim 2, wherein the lower part of the bending bottom plate is provided with a telescopic sliding block, and the laser ranging sensor is arranged on the telescopic sliding block, so that the laser ranging sensor is ensured to be just below the wrist of the user.
4. The hand key training device according to claim 1, wherein the hand key is connected with the signal processing module through IO data; the pressure sensor is connected with the signal processing module through analog signal data; the laser ranging sensor is connected with the signal processor through I2C data; the signal processing module is connected with the terminal through USB data.
5. The hand key training device of claim 1, wherein the terminal further comprises:
the correction judging unit is suitable for calling the data in the training database of the user and generating a user training hand information deviation threshold value based on a multidimensional fitting curve;
and the early warning and warning unit is suitable for calling hardware to warn when the user training has a beat error, beat force deviation or wrist amplitude deviation threshold value, and simultaneously carrying out user prompt training on front-end software to deviate.
6. The hand key training device of claim 5, wherein the terminal further comprises:
the hand key signal recording and playback unit is suitable for recording aiming at the training process and consulting the force of hand key clapping in a specific time period, and the mean value and variance fitting curve of wrist activity amplitude of the hand key clapping.
7. A method of assisting training based on the hand key training apparatus of any one of claims 1 to 6, the method comprising:
acquiring user information and calling related information in a training database of the user;
generating or importing a message to be trained, and displaying a standard signal interval waveform according to the content of the message;
acquiring a hand key signal of user clapping, and automatically generating a clapping signal interval waveform diagram, a hand key clapping force fitting diagram, a wrist movement amplitude variation diagram and a three-dimensional data fitting diagram; the three-dimensional data fitting diagram comprises three data of a user hand key beating power generation signal, hand key beating force and wrist movement amplitude;
generating a user hand key beating power signal threshold value, a hand key beating force signal threshold value and a wrist movement amplitude distance threshold value according to a preset time span;
when the user training is judged to have a clapping error, a clapping force deviation or a wrist amplitude deviation threshold, hardware is called to give an alarm, and meanwhile, front-end software is used for prompting the user to train to have a deviation.
8. The method for assisting in training a hand key training device according to claim 7, wherein the threshold value of the hand key electric signal of the user is related to the code speed of the operator, and the standard code speed is used as a threshold value for a plus or minus tolerance of 10%;
the method for generating the hand key beating force signal threshold and the wrist movement amplitude distance threshold comprises the following steps:
presetting an AI training model, wherein the AI training model is obtained by carrying out manually marked data training on a small number of samples;
after the AI training model is trained for a plurality of times, the recognition rate reaches a preset value, the AI training model is preprocessed and marked to be matched with the artificial verification mode, the expansion of a training data set is accelerated, the cost of data sample acquisition is reduced, and finally the judgment standard of the hand key beating force signal threshold value and the wrist movement amplitude distance threshold value is formed.
9. The method of assisting in training a hand key training apparatus in accordance with claim 7, further comprising:
the user can consult the force of the hand key clapping in a specific time period, and the mean value and variance fitting curve of the wrist activity of the hand key clapping, so that the user can conveniently adjust the training mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210855533.2A CN115240517B (en) | 2022-07-20 | 2022-07-20 | Hand key training device and auxiliary training method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210855533.2A CN115240517B (en) | 2022-07-20 | 2022-07-20 | Hand key training device and auxiliary training method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115240517A CN115240517A (en) | 2022-10-25 |
| CN115240517B true CN115240517B (en) | 2023-09-19 |
Family
ID=83674331
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210855533.2A Active CN115240517B (en) | 2022-07-20 | 2022-07-20 | Hand key training device and auxiliary training method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115240517B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SU849282A1 (en) * | 1979-07-24 | 1981-07-23 | Войсковая часть 60130 | Device for teaching telegraphysts |
| KR20200021682A (en) * | 2018-08-21 | 2020-03-02 | 김동현 | Keyboard layout customizing keyboard apparatus using pressure sensor array and keyboard layout generation method thereof |
| CN111627409A (en) * | 2020-05-18 | 2020-09-04 | 潍坊工程职业学院 | Teaching auxiliary system for piano playing |
| CN113611178A (en) * | 2021-08-16 | 2021-11-05 | 常州国光数据通信有限公司 | Wireless report training method and training system thereof |
| CN113758506A (en) * | 2021-08-31 | 2021-12-07 | 天津大学 | Thumb piano touch action measuring platform and method based on Leap Motion |
-
2022
- 2022-07-20 CN CN202210855533.2A patent/CN115240517B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SU849282A1 (en) * | 1979-07-24 | 1981-07-23 | Войсковая часть 60130 | Device for teaching telegraphysts |
| KR20200021682A (en) * | 2018-08-21 | 2020-03-02 | 김동현 | Keyboard layout customizing keyboard apparatus using pressure sensor array and keyboard layout generation method thereof |
| CN111627409A (en) * | 2020-05-18 | 2020-09-04 | 潍坊工程职业学院 | Teaching auxiliary system for piano playing |
| CN113611178A (en) * | 2021-08-16 | 2021-11-05 | 常州国光数据通信有限公司 | Wireless report training method and training system thereof |
| CN113758506A (en) * | 2021-08-31 | 2021-12-07 | 天津大学 | Thumb piano touch action measuring platform and method based on Leap Motion |
Non-Patent Citations (1)
| Title |
|---|
| 基于图像处理的手键发报训练辅助分析;李振山;《中国优秀硕士学位论文全文数据库 信息科技辑》;第16-20、60-62页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115240517A (en) | 2022-10-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103294199B (en) | A kind of unvoiced information identifying system based on face's muscle signals | |
| US20170095200A1 (en) | Training assistance apparatus and training assistance method | |
| CN112908355B (en) | System and method for quantitatively evaluating teaching skills of teacher and teacher | |
| CN204155477U (en) | A kind of electronic oral cavity teaching aid toothbrush with gesture identification function | |
| CN107818795A (en) | The assessment method and device of a kind of Oral English Practice | |
| EP0964390A3 (en) | Device for the verification of signals | |
| CN1746938A (en) | Intelligent digital musicial teaching instrument | |
| CN111695442A (en) | Online learning intelligent auxiliary system based on multi-mode fusion | |
| CN109062401A (en) | A kind of real-time gesture identifying system based on electromyography signal | |
| CN110917613A (en) | Intelligent game table mat based on vibration touch | |
| CN115240517B (en) | Hand key training device and auxiliary training method | |
| CN103745423A (en) | Mouth-shape teaching system and mouth-shape teaching method | |
| CN102024368B (en) | System device for training and assessing massage skills for visually-impaired people | |
| CN109949807A (en) | A kind of the intelligent robot interactive system and method for body composition detection and analysis | |
| CN108510988A (en) | Language identification system and method for deaf-mutes | |
| CN106960609A (en) | A kind of intelligent music teaching device and its application method | |
| CN114237391A (en) | Urban rail transit dispatching virtual training test system and method thereof | |
| CN202102617U (en) | Exercising device for keyboard musical instruments | |
| CN111399647A (en) | Artificial intelligence self-adaptation interactive teaching system | |
| CN104505089B (en) | Spoken error correction method and equipment | |
| CN107958500A (en) | A kind of monitoring system for real border real time information sampling of imparting knowledge to students | |
| CN111951930B (en) | Emotion identification system based on big data | |
| CN212808138U (en) | Device for testing driving state of subway driver before going on duty | |
| CN105046429B (en) | User's thinking workload assessment method in interactive process based on mobile phone sensor | |
| CN113255470B (en) | Multi-mode piano accompany training system and method based on hand gesture estimation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |