CN114756136B - Training standard reaching prompting method and device for electromyographic signals and electroencephalographic signals - Google Patents
Training standard reaching prompting method and device for electromyographic signals and electroencephalographic signals Download PDFInfo
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- CN114756136B CN114756136B CN202210675526.4A CN202210675526A CN114756136B CN 114756136 B CN114756136 B CN 114756136B CN 202210675526 A CN202210675526 A CN 202210675526A CN 114756136 B CN114756136 B CN 114756136B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
Abstract
The invention discloses a method and a device for prompting the standard of training aiming at electromyographic signals and electroencephalographic signals, wherein the method comprises the following steps: acquiring electromyographic signal data and electroencephalogram signal data, determining action intentions corresponding to the electromyographic signal data according to the electromyographic signal data, and determining control frequencies corresponding to the action intentions according to the electroencephalogram signal data; respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the movement and shooting of a preset target according to the first control instruction and the second control instruction; and acquiring the successful hit rate of a preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level. The invention can prompt the training of the electromyographic signals and the electroencephalographic signals to reach the standard and know the training condition in time.
Description
Technical Field
The invention relates to the technical field of electromyographic signal and electroencephalogram signal training, in particular to a method and a device for prompting the training standard reaching aiming at the electromyographic signal and the electroencephalogram signal.
Background
With the development of artificial intelligence technology and bioelectricity collection technology, people increasingly strongly demand intelligent auxiliary equipment. In the life of disabled people, the requirement of the artificial limb is not only limited to beauty and some simple aids, but also the desire of intelligent artificial limb, so that the appearance of intelligent bionic hands is promoted. The intelligent bionic hand is an intelligent product with high integration of a brain-computer interface technology and an artificial intelligence algorithm. The bionic hand can identify the movement intention of the wearer by extracting arm neuromuscular signals of the wearer and based on the intention of electroencephalogram signals of the user, and the movement schematic diagram is converted into the movement of the bionic hand, so that the dexterity and intelligence are achieved, and the hand moves with the heart.
At present, the electroencephalogram signal training is basically realized based on a meditation mode, so that the attention of a user is more focused, and the concentration degree of the user is trained. The training of the electromyographic signals is basically realized by determining whether the action is really the action which the user wants to execute or not by simulating the action executed by hands to judge whether the action is correct or not and correcting the action when the action is wrong. However, in the prior art, it is difficult to train the electroencephalogram signal or the electromyogram signal at the same time, and the training condition of the electroencephalogram signal or the electromyogram signal cannot be known in time, and the training effect of the electroencephalogram signal or the electromyogram signal cannot be ensured at the same time.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a device for prompting the standard of training of an electroencephalogram signal and an electroencephalogram signal, aiming at solving the problems that the training of an electroencephalogram signal or an electromyogram signal is difficult to be simultaneously trained, the training condition of the electroencephalogram signal or the electromyogram signal cannot be known in time, and the training effect of the electroencephalogram signal or the electromyogram signal cannot be ensured at the same time in the prior art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
in a first aspect, the invention provides a method for prompting standard reaching training aiming at electromyographic signals and electroencephalographic signals, wherein the method comprises the following steps:
acquiring electromyographic signal data and electroencephalographic signal data, determining action intentions corresponding to the electromyographic signal data according to the electromyographic signal data, and determining control frequencies corresponding to the action intentions according to the electroencephalographic signal data, wherein the action intentions comprise: the method comprises the steps of moving intention of a preset target in a target picture and executing intention of the preset target;
respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction;
and acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level.
In one implementation, the determining, according to the electromyographic signal data, an action intention corresponding to the electromyographic signal data includes:
determining that the electromyographic signal data corresponds to action potential information according to the electromyographic signal data, and determining gesture actions according to the action potential information and a preset action template;
acquiring gesture data corresponding to the gesture actions, wherein the gesture data are acquired based on myoelectric arm rings worn on the arms of the user;
determining the movement direction of the user arm according to the attitude data, and determining the movement intention according to the movement direction;
and determining the stay time of the user arm in the moving direction according to the gesture data, and determining the execution intention according to the stay time.
In one implementation, the determining the execution intent from the dwell time includes:
comparing the stay time with a preset time threshold;
if the stay time is longer than the time threshold, determining that the execution intention is that the preset target aims at a target object and hits the target object.
In one implementation, the determining, according to the electroencephalogram signal data, a control frequency corresponding to the action intention includes:
according to the electroencephalogram signal data, determining a concentration value corresponding to the electroencephalogram signal data;
and determining a control frequency corresponding to the concentration value according to the concentration value, wherein the control frequency is the frequency of the action corresponding to the action intention during execution.
In one implementation, the obtaining the successful hit rate of the preset target includes:
counting the times of successfully hitting the target object by the preset target and the times of corresponding actions of the preset target based on the execution intention;
and determining the successful hit rate of the preset target based on the number of times of successful hit and the number of times of corresponding action.
In one implementation manner, when the successful hit rate reaches a preset level, receiving feedback prompt information for reflecting that training of the electromyographic signal and the electroencephalographic signal has reached a standard includes:
determining score information corresponding to the action intention according to the successful hit rate, and determining grade information corresponding to the action intention according to the score information;
if the grade information exceeds a preset grade, receiving a special effect image, wherein the special effect image is used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, and the special effect image is the feedback prompt information.
In one implementation manner, when the successful hit rate reaches a preset level, receiving feedback prompt information used for reflecting that training of the electromyographic signal and the electroencephalographic signal has reached a standard, further includes:
when the grade information is determined, calling a vibration program corresponding to the grade information, wherein the vibration program comprises vibration amplitude and vibration duration;
and sending a vibration prompt to a user according to the vibration amplitude and the vibration duration.
In a second aspect, an embodiment of the present invention further provides a device for prompting a training standard for an electromyographic signal and an electroencephalographic signal, where the device includes:
the intention determining module is used for acquiring electromyographic signal data and electroencephalographic signal data, determining an action intention corresponding to the electromyographic signal data according to the electromyographic signal data, and determining a control frequency corresponding to the action intention according to the electroencephalographic signal data, wherein the action intention comprises: the method comprises the steps of moving intention of a preset target in a target picture and executing intention of the preset target;
the instruction output module is used for respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction;
and the feedback prompt module is used for acquiring the successful hit rate of the preset target and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level.
In one implementation, the intent determination module includes:
the gesture action determining unit is used for determining that the electromyographic signal data is corresponding action potential information according to the electromyographic signal data and determining a gesture action according to the action potential information and a preset action template;
the gesture data acquisition unit is used for acquiring gesture data corresponding to the gesture actions, and the gesture data are acquired based on a myoelectric arm ring worn on the arm of a user;
a movement intention determining unit for determining a movement direction of the user's arm according to the posture data;
and the execution intention determining unit is used for determining the stay time of the user arm in the moving direction according to the gesture data and determining the execution intention according to the stay time.
In one implementation, the execution intent determination unit includes:
the time comparison subunit is used for comparing the stay time with a preset time threshold;
and the intention executing subunit is used for determining that the execution intention is that the preset target aims at the target object and hits the target object if the stay time is longer than the time threshold.
In one implementation, the intent determination module includes:
the concentration value determining unit is used for determining a concentration value corresponding to the electroencephalogram signal data according to the electroencephalogram signal data;
and the control frequency determining unit is used for determining the control frequency corresponding to the concentration value according to the concentration value, wherein the control frequency is the frequency of the action corresponding to the action intention during execution.
In one implementation, the feedback prompting module includes:
the times counting unit is used for counting the times of successfully hitting the target object by the preset target and the times of corresponding actions executed by the preset target based on the execution intention;
and the probability determining unit is used for determining the successful hit rate of the preset target based on the number of times of successful hit and the number of times of corresponding action execution.
In one implementation, the feedback prompting module includes:
the grade determining unit is used for determining score information corresponding to the action intention according to the successful hit rate and determining grade information corresponding to the action intention according to the score information;
and the image prompting unit is used for receiving a special effect image if the grade information exceeds a preset grade, the special effect image is used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, and the special effect image is the feedback prompting information.
In one implementation, the feedback prompting module includes:
the program obtaining unit is used for calling a vibration program corresponding to the grade information when the grade information is determined, wherein the vibration program comprises vibration amplitude and vibration duration;
and the vibration prompt unit is used for sending a vibration prompt to a user according to the vibration amplitude and the vibration duration.
In a third aspect, an embodiment of the present invention further provides an electromyographic device, where the electromyographic device includes a memory, a processor, and a program for performing a standard training prompt on an electromyographic signal and an electroencephalographic signal, where the program is stored in the memory and is executable on the processor, and when the processor executes the program for performing the standard training prompt on the electromyographic signal and the electroencephalographic signal, the step of implementing the method for performing the standard training prompt on the electromyographic signal and the electroencephalographic signal according to any one of the above schemes is implemented.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a program for performing a standard-reaching training prompt on an electromyographic signal and an electroencephalographic signal is stored on the computer-readable storage medium, and when the program for performing a standard-reaching training prompt on an electromyographic signal and an electroencephalographic signal is executed by a processor, the steps of the method for performing a standard-reaching training prompt on an electromyographic signal and an electroencephalographic signal according to any one of the above schemes are implemented.
Has the advantages that: compared with the prior art, the invention provides a standard training prompting method aiming at electromyographic signals and electroencephalographic signals, acquires electromyographic signal data and electroencephalographic signal data, determines action intentions corresponding to the electromyographic signal data according to the electromyographic signal data, and determines control frequencies corresponding to the action intentions according to the electroencephalographic signal data, wherein the action intentions comprise: the method includes the steps of moving intention of a preset target in a target picture and executing intention of the preset target. And then respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction. And finally, acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level. The invention can simultaneously collect electromyographic signal data and electroencephalographic signal data, respectively determine action intentions according to the electromyographic signal data, determine control frequencies corresponding to the action intentions according to the electroencephalographic signal data, and then move and shoot a preset target based on the control frequencies and the action intentions, thereby realizing training of the electromyographic signal data and the electroencephalographic signal data.
Drawings
Fig. 1 is a flowchart of a specific implementation of a training standard-reaching prompting method for electromyographic signals and electroencephalographic signals according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a training standard-reaching prompt system device for electromyographic signals and electroencephalographic signals according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of an electromyographic apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment provides a training standard-reaching prompting method for electromyographic signals and electroencephalographic signals, and the method based on the embodiment can realize simultaneous training of electrical signal data and electroencephalographic signal data, timely know the training condition and guarantee the training effect. In specific implementation, the embodiment acquires electromyographic signal data and electroencephalographic signal data, determines an action intention corresponding to the electromyographic signal data according to the electromyographic signal data, and determines a control frequency corresponding to the action intention according to the electroencephalographic signal data, wherein the action intention includes: the method includes the steps of moving intention of a preset target in a target picture and executing intention of the preset target. And then respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction. And finally, acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level. It can be seen that the myoelectric signal data and the electroencephalogram signal data can be collected simultaneously, action intentions are determined according to the myoelectric signal data, control frequencies corresponding to the action intentions are determined according to the electroencephalogram signal data, then the preset target is moved and shot based on the control frequencies and the action intentions, training of the myoelectric signal data and the electroencephalogram signal data is achieved, when the successful hit rate of the preset target reaches a preset level, the fact that the training of the myoelectric signal data and the electroencephalogram signal data reaches the standard can be indicated.
For example, a user wears an electroencephalogram head ring and an electromyogram arm ring on an arm, the electroencephalogram head ring acquires electroencephalogram signal data, and the electromyogram arm ring acquires electromyogram signal data. When the action determined based on the electroencephalogram data is intended to control a preset target (such as a small airplane on a display screen) on the display device to move or shoot. And determining a control frequency corresponding to the action intention based on the electromyographic signal data, wherein the control frequency is a frequency for controlling the movement of a preset target and a frequency for shooting the preset target to enable the preset target to be hit. Therefore, according to the control frequency, a first control instruction and a second control instruction can be generated, wherein the first control instruction is used for controlling the small airplane on the display screen to move, and the second control instruction is used for controlling the shooting of the small airplane on the display screen to hit the target object. And then, counting the successful hit rate of the small airplane, if the successful hit rate reaches a preset level, training the electromyographic signal data and the electroencephalogram signal data to reach the standard, and receiving feedback prompt information of the training reached the standard, so that the training states of the electromyographic signal data and the electroencephalogram signal data are known in time.
Exemplary method
The training standard-reaching prompting method for the electromyographic signals and the electroencephalographic signals can be applied to electromyographic equipment, and the electromyographic equipment can acquire electroencephalographic signal data and/or electromyographic signal data. In a specific application, the electromyographic devices in this embodiment may be an electroencephalogram head ring and an electromyogram arm ring, the electroencephalogram head ring is worn on a head of a user and used for acquiring electroencephalogram signal data of the user, and the electromyogram arm ring is worn on an arm of the user and used for acquiring electromyogram signal data of the user. Specifically, the method for prompting the training of the electromyographic signals and the electroencephalographic signals to reach the standard in the embodiment comprises the following steps of:
s100, acquiring electromyographic signal data and electroencephalographic signal data, determining an action intention corresponding to the electromyographic signal data according to the electromyographic signal data, and determining a control frequency corresponding to the action intention according to the electroencephalographic signal data, wherein the action intention comprises: the method includes the steps of moving intention of a preset target in a target picture and executing intention of the preset target.
In this embodiment, after the electromyographic device (such as an electromyographic arm ring) collects the electromyographic signal data, the corresponding action intention can be determined according to the electromyographic signal data. Because the electromyographic signal data is acquired based on the electromyographic arm ring which is connected with the electromyographic nerve unit on the arm of the user, after the electromyographic signal data is acquired, the corresponding action intention can be determined, wherein the action intention is what the user wants to execute at the moment. Specifically, the action intention in the present embodiment may include a movement intention for a preset target in the target screen and an execution intention for the preset target. That is, in the scenario of the present embodiment, the action intention is to control the movement of a preset target in the target screen on the display device and the specific action performed. After the electromyographic device (such as a electroencephalogram head ring) acquires electroencephalogram signal data, the control frequency corresponding to the action intention can be determined, that is, the control frequency in this embodiment reflects how often the action intention is executed during execution.
In an implementation manner, the step S100 in this embodiment specifically includes the following steps:
step S101, determining that the electromyographic signal data is corresponding action potential information according to the electromyographic signal data, and determining a gesture action according to the action potential information and a preset action template;
s102, acquiring gesture data corresponding to the gesture actions, wherein the gesture data are acquired based on a myoelectric arm ring worn on the arm of a user;
step S103, determining the movement direction of the user arm according to the posture data;
and S104, determining the stay time of the user arm in the moving direction according to the posture data, and determining the execution intention according to the stay time.
Specifically, in this embodiment, after the electromyographic device acquires the electromyographic signal data, the electromyographic signal data is analyzed to determine action potential information corresponding to the electromyographic signal data, where the action potential information is used to reflect a gesture action performed by the user at that time. In order to quickly determine the gesture actions of the user, in this embodiment, an action template may be preset, where action potential information corresponding to different gesture actions is stored in the action template, and therefore, after the action potential information is obtained, the action potential information is matched with the action template to determine the gesture actions corresponding to the action potential information. The myoelectric signal data is acquired based on a myoelectric arm ring worn by a user, when a gesture action is determined, the user can execute the gesture action, for example, when the gesture action is determined as swinging the right arm to the left, the user can execute the action, at the moment, the myoelectric arm ring can acquire gesture data corresponding to the gesture action, the gesture data reflects the moving direction of the arm of the user, and the moving intention is determined according to the moving direction. For example, if the gesture motion performed by the user swings to the left as the right arm, based on the coordinate data in the gesture data, the position change of the user arm at this time can be determined, the motion trajectory of the user arm is further determined, and then the movement direction is determined to be the left, and then the movement intention is to control the preset target to move to the left.
After the moving direction is determined, the embodiment may determine, according to the gesture data, a staying time period of the user's arm in the moving direction, and determine the execution intention according to the staying time period. Specifically, for example, after the myoelectric arm ring determines the stay time of the arm of the user in the moving direction, the stay time is compared with a preset time threshold. If the stay time is longer than the time threshold, determining that the execution intention is that the preset target aims at a target object and hits the target object. For example, the myoelectric arm ring in this embodiment is connected to a display device, which displays the mutual position relationship between the preset target and the target object, and the preset target can be controlled to move and shot at the target object. For example, the preset target is a small airplane which can be moved to aim at a target object and design the target object. And the moving direction of the small airplane is obtained based on the electromyographic signal data analysis. When the electromyographic signal data is used for determining that the arm of the user moves towards the left, the control is that the small airplane moves towards the left (namely, movement intention), and if the stay time of the arm of the user towards the left is 2 seconds (more than 1 second of the time threshold value), the execution intention at the moment is that the small airplane aims at the target object and hits the target object.
After determining the action intention, the embodiment may further determine a control frequency corresponding to the action intention, where the control frequency is a frequency for executing the action intention. The present embodiment may be based on that the control frequency of the action intention may be determined based on the brain electrical signal data. According to the electroencephalogram signal data, the concentration value corresponding to the electroencephalogram signal data can be determined, and the concentration value is used for reflecting the concentration degree of the user at the moment. Specifically, each different electroencephalogram signal data reflects that the brain of the user is in a different active state at the time, and thus corresponds to a different meditation state. The concentration value in this embodiment may reflect a state of the brain of the user entering into meditation, which may be reflected by the brain wave signal data, for example, when the brain wave signal data changes abruptly, it indicates that the brain of the user is relatively active, and the meditation state also shows a relatively excited state, and if the brain wave signal data all shows a relatively stable state (i.e., does not change significantly) within a period of time, it may indicate that the brain of the user is relatively calm, and the meditation state also shows a relatively quiet state. In the embodiment, the concentration value can be visually displayed through a numerical value, so that after the electroencephalogram signal data are acquired, a meditation state score of the user at the moment can be determined based on the electroencephalogram signal data, and the meditation state score is the concentration value. In order to determine the meditation state score more conveniently and conveniently, in this embodiment, after a plurality of electroencephalogram signal data are acquired, a corresponding electroencephalogram signal curve can be drawn according to the electroencephalogram signal data, and the electroencephalogram signal curve reflects the fluctuation condition of the electroencephalogram signal data within a preset time period, that is, the change condition of the electroencephalogram signal data. The change condition of the brain wave signal data can be determined more intuitively by drawing the brain wave signal curve, and the determination mode is simpler. The electroencephalogram signal curve can be automatically drawn based on a preset software application program, for example, after the electroencephalogram head ring collects a plurality of electroencephalogram signal data, the electroencephalogram signal data can be input into the preset software application program, and the electroencephalogram signal curve can be automatically drawn based on the software application program. The electroencephalogram signal curve in the embodiment includes a plurality of key parameters, such as peak data, valley data, difference data between two adjacent electroencephalogram signal data, and the like, which can be used to evaluate the concentration value (i.e., meditation state) of the user, and for this reason, the embodiment is directed to analyzing the key parameters individually to determine the score of the meditation state according to each key parameter. In order to obtain the meditation state score, the present embodiment may calculate the score information of each key parameter in the electroencephalogram curve, and after obtaining the score information of all key parameters, the meditation state score may be obtained.
Specifically, in this embodiment, a standard meditation state, which is the most ideal brain wave signal data screened out based on the historical brain wave signal data, may be preset, and the standard brain wave signal curve corresponding to the standard meditation state reflects that the brain wave signal data of the user is kept stable for a long period of time (e.g., 10 minutes), so that the concentration of the user is relatively high for the long period of time. Therefore, the electroencephalogram signal curve obtained in the embodiment can be compared and matched with the standard electroencephalogram signal curve, so that the score information of each key parameter in the electroencephalogram signal curve in the embodiment can be obtained. The present embodiment may set a base score for each standard parameter in the standard electroencephalogram signal curve, for example, the base score of peak data of the standard electroencephalogram signal curve is 90, the base score of valley data of the standard electroencephalogram signal curve is 91, the base score of difference data between the peak data and the valley data is 90 within a range of ± 3, and the base score of difference data between the peak data and the valley data is 89 within a range of ± 5. Thus, a basic score is set for each standard parameter in the standard electroencephalogram signal curve. The embodiment can compare the key parameters in the electroencephalogram signal curve with the standard parameters, and determine the score information of each key parameter according to the comparison result. In one implementation manner, if a certain key parameter is smaller than a corresponding standard parameter, the score information may be obtained by subtracting the score from a preset basic score. For example, if the peak data in the key parameter in the electroencephalogram signal curve in the embodiment is 10, and the peak data in the standard parameter in the standard electroencephalogram signal curve is 12, 2 points may be subtracted from the base point value 90, so that the score information of the peak data in the key parameter in the electroencephalogram signal curve is 88. And if a certain key parameter is larger than the corresponding standard parameter, the score information can be obtained by adding scores on the preset basic score. For example, if the valley data of the key parameter in the electroencephalogram signal curve in the embodiment is 11 and the valley data of the standard parameter in the standard electroencephalogram signal curve is 10, 1 point may be added on the basis of the basic score 91, so that the score information of the peak data in the key parameter in the electroencephalogram signal curve is 92. Therefore, in the embodiment, the score added or subtracted on the basis of the basic score is the difference between the standard parameter and the key parameter, and what the difference is, what is added or subtracted on the basis of the basic score. After the score information of all key parameters is obtained, all the score information is weighted and averaged, and the meditation state score can be obtained. Specifically, in the present embodiment, first, the weight data corresponding to each score information is obtained, where the weight data corresponds to a key parameter, for example, the weight data of the peak data is set to 0.9, the weight data of the valley data is set to 0.8, and the weight data of the difference data between the peak data and the valley data in the range of ± 3 is set to 0.8. For example, since the score information of the peak data is 88, the score information of the trough data is 92, and the score information of the difference data between the peak data and the trough data in the range of ± 3 is 90, the meditation state score can be calculated as (0.9 × 88+0.8 × 92+0.8 × 90)/3 =74.9 by weighted average.
When the meditation state score is obtained, a concentration value is obtained. The present embodiment may determine a control frequency corresponding to the concentration value according to the concentration value, where the control frequency is a frequency of the action corresponding to the action intention when the action is executed. The frequency reference table can be preset in the embodiment, the frequency reference table is provided with the control frequencies corresponding to the concentration values of different intervals, after the concentration value is determined, the interval where the concentration value is located can be found based on the frequency reference table, and then the control frequency corresponding to the interval is found, so that the control frequency can be quickly determined.
Step S200, respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction.
After determining the control frequency, the embodiment respectively outputs a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency. In this embodiment, the first control instruction is used to control a preset target to move at a control frequency, and the second control instruction is used to control a preset target to set at a control frequency. For example, after the electromyographic device determines the control frequency, the electromyographic device may generate a first control command and a second control command, respectively. And then controlling the frequency of the small airplane moving to the left or right in the target picture on the display device based on the first control instruction, and then controlling the frequency of shooting by the small airplane in the target picture on the display device based on the second control instruction, wherein the shooting is to shoot a bullet to hit a target object, so that the frequency of shooting by the small airplane is the frequency of shooting by the bullet.
And S300, acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level.
After the electromyographic device executes the first control instruction and the second control instruction, acquiring a successful hit rate of the preset target, wherein the successful hit rate reflects the probability that the preset target successfully hits the target object, and if the successful hit rate exceeds a preset level, the training of the electromyographic signal and the electroencephalographic signal reaches the standard, and then, receiving feedback prompt information for reflecting that the training of the electromyographic signal and the electroencephalographic signal reaches the standard.
In an implementation manner, the determining of the successful hit rate in this embodiment specifically includes the following steps:
step S301, counting the times of successfully hitting the target object by the preset target and the times of corresponding actions executed by the preset target based on the execution intention;
step S302, determining a successful hit rate of the preset target based on the number of times of successful hits and the number of times of corresponding actions.
In this embodiment, after the electromyographic device executes the first control instruction and the second control instruction, the number of times that the preset target successfully hits the target object and the number of times that the preset target is executed with the corresponding action based on the execution intention may be counted. The number of times that the preset target successfully hits the target object is the number of times that the target object is successfully hit after the bullet is shot by the small airplane on the display device. The number of times that the preset target is executed to the corresponding action based on the execution intention is the total shooting number of the small airplane, so that the successful hit rate of the preset target can be obtained by dividing the number of times that the preset target successfully hits the target object by the number of times that the preset target is executed to the corresponding action based on the execution intention.
In an implementation manner, when receiving the feedback prompt information, the embodiment includes:
step S31, determining score information corresponding to the action intention according to the successful hit rate, and determining grade information corresponding to the action intention according to the score information;
and step S32, if the grade information exceeds a preset grade, receiving a special effect image, wherein the special effect image is used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, and the special effect image is the feedback prompt information.
Specifically, after the successful hit rate is determined, the score information corresponding to the action intention may be determined according to the successful hit rate. The score information of this embodiment may be determined based on the number of hits corresponding to the successful hit rate, for example, each hit may have a score, and different positions of the hit target object may correspond to different scores, and the scores may be accumulated. When the grade information corresponding to the accumulated score information (the grade information can be matched based on a preset score grade table, and the grade information corresponding to different score information is set in the score grade table) exceeds a preset grade, the electroencephalogram signal and the electromyogram signal reach the standard in training. For example, the successful hit rate is 85%, the corresponding score information is 850, and the score exceeds the preset level. At the moment, the display device displays a special effect image, the special effect image is used for reflecting that the electromyogram signal and the electroencephalogram signal reach the standard in training, the special effect image can be received by the electromyogram device, therefore, the special effect image is the feedback prompt information, and the user can know the electroencephalogram signal and the training condition of the electromyogram signal through the feedback prompt information. In an implementation manner, the myoelectric device of this embodiment may also call the vibration program corresponding to the level information after determining that the score information corresponds to the level information, the vibration program includes vibration amplitude and vibration duration, and then sends a vibration prompt to the user according to the vibration amplitude and the vibration duration, so as to prompt the user to perform prompts of different degrees and different durations, so as to prompt the user that the training of the myoelectric signal and the electroencephalogram signal of the user is up to standard in time.
In summary, in this embodiment, firstly, electromyogram signal data and electroencephalogram signal data are acquired, an action intention corresponding to the electromyogram signal data is determined according to the electromyogram signal data, and a control frequency corresponding to the action intention is determined according to the electroencephalogram signal data, where the action intention includes: the method includes the steps of moving intention of a preset target in a target picture and executing intention of the preset target. And then respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction. And finally, acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level. The invention can simultaneously collect electromyographic signal data and electroencephalographic signal data, respectively determine action intentions according to the electromyographic signal data, determine control frequencies corresponding to the action intentions according to the electroencephalographic signal data, and then move and shoot a preset target based on the control frequencies and the action intentions, thereby realizing training of the electromyographic signal data and the electroencephalographic signal data.
Exemplary devices
Based on the above embodiment, the present invention further provides a training standard reaching prompting device for myoelectric signals and electroencephalogram signals, the device comprising: an intent determination module 10, an instruction output module 20, and a feedback prompt module 30. Specifically, the intention determining module 10 is configured to acquire electromyogram signal data and electroencephalogram signal data, determine an action intention corresponding to the electromyogram signal data according to the electromyogram signal data, and determine a control frequency corresponding to the action intention according to the electroencephalogram signal data, where the action intention includes: the method includes the steps of moving intention of a preset target in a target picture and executing intention of the preset target. The instruction output module 20 is configured to output a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and control the preset target to move and shoot according to the first control instruction and the second control instruction. The feedback prompt module 30 is configured to obtain a successful hit rate of the preset target, and receive feedback prompt information for reflecting that training of the electromyographic signals and the electroencephalographic signals reaches a standard when the successful hit rate reaches a preset level.
In one implementation, the intent determination module includes:
the gesture action determining unit is used for determining that the electromyographic signal data is corresponding action potential information according to the electromyographic signal data and determining a gesture action according to the action potential information and a preset action template;
the gesture data acquisition unit is used for acquiring gesture data corresponding to the gesture actions, and the gesture data are acquired based on a myoelectric arm ring worn on the arm of a user;
the movement intention determining unit is used for determining the movement direction of the user arm according to the gesture data and determining the movement intention according to the movement direction;
and the execution intention determining unit is used for determining the stay time of the user arm in the moving direction according to the gesture data and determining the execution intention according to the stay time.
In one implementation, the execution intent determination unit includes:
the time comparison subunit is used for comparing the stay time with a preset time threshold;
and the intention executing subunit is used for determining that the execution intention is that the preset target aims at the target object and hits the target object if the stay time is longer than the time threshold.
In one implementation, the intent determination module includes:
the concentration value determining unit is used for determining a concentration value corresponding to the electroencephalogram signal data according to the electroencephalogram signal data;
and the control frequency determining unit is used for determining the control frequency corresponding to the concentration value according to the concentration value, wherein the control frequency is the frequency of the action corresponding to the action intention during execution.
In one implementation, the feedback prompting module includes:
the times counting unit is used for counting the times of successfully hitting the target object by the preset target and the times of executing corresponding actions of the preset target based on the execution intention;
and the probability determining unit is used for determining the successful hit rate of the preset target based on the number of times of successful hit and the number of times of corresponding action execution.
In one implementation, the feedback prompting module includes:
the grade determining unit is used for determining score information corresponding to the action intention according to the successful hit rate and determining grade information corresponding to the action intention according to the score information;
and the image prompting unit is used for receiving a special effect image if the grade information exceeds a preset grade, the special effect image is used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, and the special effect image is the feedback prompting information.
In one implementation, the feedback prompting module includes:
the program obtaining unit is used for calling a vibration program corresponding to the grade information when the grade information is determined, wherein the vibration program comprises vibration amplitude and vibration duration;
and the vibration prompt unit is used for sending a vibration prompt to a user according to the vibration amplitude and the vibration duration.
The working principle of each module in the training standard-reaching prompting device for the electromyographic signals and the electroencephalographic signals in the embodiment is the same as the principle of each step in the embodiment of the method, and the details are not repeated here.
Based on the above embodiment, the invention also provides an electromyographic device, which can acquire electroencephalogram signal data and/or electromyographic signal data. In a specific application, the electromyographic devices in this embodiment may be an electroencephalogram head ring and an electromyogram arm ring, the electroencephalogram head ring is worn on a head of a user and used for acquiring electroencephalogram signal data of the user, and the electromyogram arm ring is worn on an arm of the user and used for acquiring electromyogram signal data of the user. A schematic block diagram of the electromyographic device may be as shown in fig. 3. The electromyographic device comprises a processor and a memory which are connected through a system bus, wherein the processor and the memory are arranged in a host. Wherein, the processor of the electromyographic device is used for providing calculation and control capability. The memory of the electromyographic device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the electromyographic equipment is used for being connected and communicated with an external terminal through network communication. When the computer program is executed by a processor, a method for prompting the training standard reaching aiming at the electromyographic signals and the electroencephalographic signals is realized.
It will be understood by those skilled in the art that the schematic block diagram shown in fig. 3 is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the electromyographic device to which the scheme of the present invention is applied, and a specific electromyographic device may include more or less components than those shown in the figure, or may combine some components, or have a different arrangement of components.
In one embodiment, an electromyographic device is provided, where the electromyographic device includes a memory, a processor, and a method program stored in the memory and executable on the processor for a training standard-reaching prompt for an electromyographic signal and an electroencephalographic signal, and when the processor executes the method program for the training standard-reaching prompt for the electromyographic signal and the electroencephalographic signal, the following operation instructions are implemented:
acquiring electromyographic signal data and electroencephalographic signal data, determining action intentions corresponding to the electromyographic signal data according to the electromyographic signal data, and determining control frequencies corresponding to the action intentions according to the electroencephalographic signal data, wherein the action intentions comprise: the method comprises the steps of moving intention of a preset target in a target picture and executing intention of the preset target;
respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction;
and acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, operational databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), dual-rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
In summary, the invention discloses a training standard reaching prompting method and device aiming at electromyographic signals and electroencephalographic signals, wherein the method comprises the following steps: acquiring electromyographic signal data and electroencephalogram signal data, determining action intentions corresponding to the electromyographic signal data according to the electromyographic signal data, and determining control frequencies corresponding to the action intentions according to the electroencephalogram signal data; respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the movement and shooting of a preset target according to the first control instruction and the second control instruction; and acquiring the successful hit rate of a preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level. The invention can prompt the training of the electromyographic signals and the electroencephalographic signals to reach the standard and know the training condition in time.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (6)
1. A training standard-reaching prompting method aiming at electromyographic signals and electroencephalographic signals is characterized by comprising the following steps:
acquiring electromyographic signal data and electroencephalographic signal data, determining action intentions corresponding to the electromyographic signal data according to the electromyographic signal data, and determining control frequencies corresponding to the action intentions according to the electroencephalographic signal data, wherein the action intentions comprise: the method comprises the following steps of moving intention of a preset target in a target picture and executing intention of the preset target;
respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction;
acquiring the successful hit rate of the preset target, and receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level;
the determining the action intention corresponding to the electromyographic signal data according to the electromyographic signal data comprises the following steps:
determining that the electromyographic signal data corresponds to action potential information according to the electromyographic signal data, and determining gesture actions according to the action potential information and a preset action template;
acquiring gesture data corresponding to the gesture actions, wherein the gesture data are acquired based on myoelectric arm rings worn on the arms of the user;
determining the movement direction of the user arm according to the attitude data, and determining the movement intention according to the movement direction;
determining the stay time of the user arm in the moving direction according to the attitude data, and determining the execution intention according to the stay time;
the determining the execution intention according to the stay time comprises:
comparing the stay time with a preset time threshold;
if the stay time is longer than the time threshold, determining that the execution intention is that the preset target aims at a target object and hits the target object;
the determining the control frequency corresponding to the action intention according to the electroencephalogram signal data comprises the following steps:
according to the electroencephalogram signal data, determining a concentration value corresponding to the electroencephalogram signal data;
determining a control frequency corresponding to the concentration value according to the concentration value, wherein the control frequency is the frequency of the action corresponding to the action intention during execution;
the determining, according to the concentration value, a control frequency corresponding to the concentration value includes:
presetting a frequency reference table, wherein control frequencies corresponding to concentration values in different intervals are set in the frequency reference table;
after the concentration value is determined, finding an interval where the concentration value is located based on the frequency reference table, and determining a control frequency corresponding to the interval;
the obtaining of the successful hit rate of the preset target includes:
counting the times of successfully hitting the target object by the preset target and the times of corresponding actions of the preset target based on the execution intention;
determining a successful hit rate of the preset target based on the number of times of successful hits and the number of times of corresponding actions;
when the successful hit rate reaches a preset level, receiving feedback prompt information used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, wherein the feedback prompt information comprises the following steps:
determining score information corresponding to the action intention according to the successful hit rate, and determining grade information corresponding to the action intention according to the score information, wherein the grade information is matched based on a preset score grade table, and the score grade table is provided with grade information corresponding to different score information;
if the grade information exceeds a preset grade, receiving a special effect image, wherein the special effect image is used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, and the special effect image is the feedback prompt information.
2. The method for prompting the standard reaching of the training of the electromyographic signals and the electroencephalographic signals according to claim 1, wherein when the successful hit rate reaches a preset level, receiving feedback prompt information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, further comprising:
when the grade information is determined, calling a vibration program corresponding to the grade information, wherein the vibration program comprises vibration amplitude and vibration duration;
and sending a vibration prompt to a user according to the vibration amplitude and the vibration duration.
3. The utility model provides a suggestion device that reaches standard is trained to flesh electrical signal and brain electrical signal which characterized in that, the device includes:
the intention determining module is used for acquiring electromyographic signal data and electroencephalographic signal data, determining an action intention corresponding to the electromyographic signal data according to the electromyographic signal data, and determining a control frequency corresponding to the action intention according to the electroencephalographic signal data, wherein the action intention comprises: the method comprises the steps of moving intention of a preset target in a target picture and executing intention of the preset target;
the instruction output module is used for respectively outputting a first control instruction corresponding to the movement intention and a second control instruction corresponding to the execution intention according to the control frequency, and controlling the preset target to move and shoot according to the first control instruction and the second control instruction;
the feedback prompting module is used for acquiring the successful hit rate of the preset target and receiving feedback prompting information for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard when the successful hit rate reaches a preset level;
the intent determination module comprising:
the gesture action determining unit is used for determining that the electromyographic signal data is corresponding action potential information according to the electromyographic signal data and determining a gesture action according to the action potential information and a preset action template;
the gesture data acquisition unit is used for acquiring gesture data corresponding to the gesture actions, and the gesture data are acquired based on a myoelectric arm ring worn on the arm of a user;
the movement intention determining unit is used for determining the movement direction of the user arm according to the gesture data and determining the movement intention according to the movement direction;
the execution intention determining unit is used for determining the stay time of the user arm in the moving direction according to the gesture data and determining the execution intention according to the stay time;
the execution intention determining unit includes:
the time comparison subunit is used for comparing the stay time with a preset time threshold;
an intention executing subunit, configured to determine that the execution intention is that the preset target is aimed at a target object and hits the target object if the stay time is greater than the time threshold;
the intent determination module comprising:
the concentration value determining unit is used for determining a concentration value corresponding to the electroencephalogram signal data according to the electroencephalogram signal data;
a control frequency determining unit, configured to determine, according to the concentration value, a control frequency corresponding to the concentration value, where the control frequency is a frequency of the action corresponding to the action intention when the action is executed;
the control frequency determining unit includes:
presetting a frequency reference table, wherein control frequencies corresponding to concentration values in different intervals are set in the frequency reference table;
after the concentration value is determined, finding an interval where the concentration value is located based on the frequency reference table, and determining a control frequency corresponding to the interval;
the feedback prompt module comprises:
the times counting unit is used for counting the times of successfully hitting the target object by the preset target and the times of corresponding actions executed by the preset target based on the execution intention;
a probability determination unit, configured to determine a successful hit rate of the preset target based on the number of times of successful hits and the number of times of corresponding actions performed;
the feedback prompt module comprises:
the grade determining unit is used for determining score information corresponding to the action intention according to the successful hit rate and determining grade information corresponding to the action intention according to the score information, wherein the grade information is matched based on a preset score grade table, and the score grade table is provided with grade information corresponding to different score information;
and the image prompting unit is used for receiving a special effect image if the grade information exceeds a preset grade, the special effect image is used for reflecting that the training of the electromyographic signals and the electroencephalographic signals reaches the standard, and the special effect image is the feedback prompting information.
4. The training standard-reaching prompting device for electromyographic signals and electroencephalographic signals according to claim 3, wherein the feedback prompting module comprises:
the program obtaining unit is used for calling a vibration program corresponding to the grade information when the grade information is determined, wherein the vibration program comprises vibration amplitude and vibration duration;
and the vibration prompt unit is used for sending a vibration prompt to a user according to the vibration amplitude and the vibration duration.
5. An electromyographic device comprising a memory, a processor, and a training compliance prompting program stored in and operable on the memory for electromyographic signals and electroencephalographic signals, wherein the processor implements the training compliance prompting method for electromyographic signals and electroencephalographic signals according to any one of claims 1-2.
6. A computer-readable storage medium, characterized in that said computer-readable storage medium has stored thereon a training compliance prompting program for electromyographic signals and electroencephalographic signals, said program for training compliance prompting for electromyographic signals and electroencephalographic signals being executed by a processor, the steps of the method for training compliance prompting for electromyographic signals and electroencephalographic signals according to any one of claims 1-2 being implemented.
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