CN111686372A - Training data processing method, device, system and computer readable medium - Google Patents
Training data processing method, device, system and computer readable medium Download PDFInfo
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- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36003—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of motor muscles, e.g. for walking assistance
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- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36014—External stimulators, e.g. with patch electrodes
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Abstract
The embodiment of the application provides a training data processing method, a device, a system and a computer readable medium. The training data processing method is applied to electronic equipment and comprises the following steps: acquiring M channel data of M training channels, wherein one training channel corresponds to one part of a human body, and the channel data comprises at least one of training intensity and current value; determining training data according to the M channel data, wherein the training data comprises M training quantities of parts corresponding to the training channels; the method comprises the steps of determining effect data of a human body according to training data, determining training quantity of a part corresponding to a training channel according to at least one of training intensity and current value by obtaining channel data of the training channel, and determining data of the training effect of the human body according to the training quantity, so that a user can know the training effect, the interactivity between the user and electronic equipment is improved, and the diversified fitness training requirements of the user are effectively met.
Description
Technical Field
The embodiment of the application relates to the technical field of electronic information, in particular to a training data processing method, device and system and a computer readable medium.
Background
The ems (electrical Muscle stimulation) technology is continuously researched and improved, and is widely applied to many fields, for example, in the training of astronauts in the aerospace field, so as to prevent the astronauts from muscular atrophy under the condition of no gravity for a long time. By using EMS technology, under the stimulation of current to muscles, the muscles can passively contract and simultaneously do training actions, so that the passive contraction and the actively moving muscles form 'confrontation', blood and lymph circulation is effectively promoted, and the aim of developing muscle strength is fulfilled.
During each training or after the training is finished, the user wants to know the effect achieved by the training, but an effective processing method for the training data of the user is lacked at present, and the diversified fitness training requirements of the user cannot be effectively met.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a training data processing method, device, electronic device, wearable device, system and computer readable medium, which overcome the drawbacks of the prior art.
In a first aspect, an embodiment of the present application provides a training data processing method, which is applied to an electronic device, and the method includes:
acquiring M channel data of M training channels, wherein one training channel corresponds to one part of a human body and is used for indicating a transmission path of a stimulation signal when the part of the human body is trained, the channel data comprises at least one of training intensity and current value, and M is a positive integer;
determining training data according to the M channel data, wherein the training data comprises M training quantities of parts corresponding to the training channels;
and determining the effect data of the human body according to the training data, wherein the effect data of the human body is used for indicating the training effect of the human body.
Optionally, in an embodiment of the present application, the channel data further includes a total training intensity, and determining the training data according to the M channel data includes:
and determining the training amount of M parts corresponding to the training channels according to the current values corresponding to the M training channels, the training intensity of the M training channels and the total training intensity, wherein the total training intensity is used for indicating and controlling the training intensity of the M training channels.
Optionally, in an embodiment of the application, the effect data includes the calorie consumption, and the determining the effect data of the human body according to the training data includes:
determining N single calorie consumptions according to the N training data and the body data of the human body, wherein N is the communication frequency between the electronic equipment and the training equipment for stimulation training, and N is a positive integer;
determining the sum of the N single calorie consumptions as the calorie consumption of the human body.
Optionally, in an embodiment of the present application, the effect data includes a training index, and determining the effect data of the human body according to the training index includes:
and taking the average value of the N training data as a training index, wherein N is the communication frequency between the electronic equipment and the training equipment for stimulation training, and N is a positive integer.
Optionally, in an embodiment of the present application, acquiring M channel data of M training channels includes:
receiving the M channel data transmitted by training equipment, wherein the M channel data comprise M current values generated by performing stimulation training on the part of the human body according to the total training intensity and the training intensities of the M training channels.
Optionally, in an embodiment of the present application, the method further includes:
and determining the body data of the human body according to the sex of the human body and the health grade of the human body.
In a second aspect, an embodiment of the present application provides an apparatus, including: the device comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring M channel data of M training channels, one training channel corresponds to one part of a human body, the training channel is used for indicating a transmission path of a stimulation signal when the part of the human body is trained, and the channel data comprises at least one of training intensity and current value;
a training data determination module, configured to determine training data of M parts according to the M channel data, where the training data is used to indicate training amounts of the M parts;
the effect data determining module is used for determining the effect data of the human body according to the training data, and the effect data of the human body is used for indicating the training effect of the human body.
In a third aspect, an embodiment of the present application further provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor; the processor is configured to implement the training data processing method of any of the above first aspects when executing the computer program.
In a fourth aspect, an embodiment of the present application further provides a wearable device, including: the wearing main part, the wearing main part is dressed on human health, be provided with amazing training part in the wearing main part for accept above-mentioned arbitrary electronic equipment's control right human body carries out amazing training.
Optionally, in an embodiment of the present application, the wearable device includes:
a wearing jacket for wearing on the upper body of the human body to perform a stimulation training on the chest, back, arms, and abdomen of the human body to generate calories;
and/or, wear the shorts, is used for wearing on the lower part of the human body, carry on the stimulation training to the leg, buttock of the said human body, in order to produce the calorie;
and/or the wearing belt is used for being tightly attached to the target training part of the human body and carrying out stimulation training on the target training part so as to generate calories.
In a fifth aspect, an embodiment of the present application further provides a training data processing system, including: the electronic device according to the third aspect and the wearable device according to the fourth aspect; the electronic equipment is electrically connected with the wearable equipment and is used for controlling the wearable equipment to perform stimulation training on a human body so as to generate calories.
In a sixth aspect, an embodiment of the present application further provides a computer-readable medium, where a computer program is stored in the electronic device according to the third aspect.
In the technical scheme of the embodiment of the application, the training data processing method is applied to electronic equipment, and M channel data of M training channels are obtained, wherein one training channel corresponds to one part of a human body and is used for indicating a transmission path of a stimulation signal when the part of the human body is trained, and the channel data comprises at least one of training intensity and current value; determining training data according to the M channel data, wherein the training data comprises M training quantities of parts corresponding to the training channels; the method comprises the steps of determining human body effect data according to training data, wherein the human body effect data are used for indicating a human body training effect, determining a training amount of a part corresponding to a training channel according to at least one of training intensity and a training current value by acquiring channel data of the training channel, and determining data of the human body training effect according to the training amount, so that a user can know the training effect, the interactivity between the user and electronic equipment is improved, and the method effectively adapts to diversified fitness training requirements of the user.
Drawings
Some specific embodiments of the present application will be described in detail below by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a flowchart of a training data processing method according to an embodiment of the present application;
fig. 2 is an application scenario diagram provided in the embodiment of the present application;
fig. 3 is a training data processing apparatus according to an embodiment of the present application;
fig. 4 is a block diagram of an electronic device according to an embodiment of the present disclosure;
fig. 5 is a structural diagram of a wearable device provided in an embodiment of the present application;
fig. 6 is a block diagram of a training data processing system according to an embodiment of the present application.
Detailed Description
The following further describes specific implementation of the embodiments of the present invention with reference to the drawings.
It is not necessary for any particular embodiment of the invention to achieve all of the above advantages at the same time.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the object in the present application is only to indicate a singular concept, and is not limited to a specific one, for example, the target training portion refers to a training portion, and may be any training portion; at least one of the channel data may be one or a plurality of channel data, for example, the channel data may include at least one of a training intensity and a current value, and may indicate that the channel data includes the training intensity, the channel data includes the current value, or the channel data includes the training intensity and the current value.
The first embodiment,
Fig. 1 is a flowchart of a training data processing method provided in an embodiment of the present application, and as shown in fig. 1, the training data processing method includes the following steps:
step 101, obtaining M channel data of M training channels.
The training channel is used for indicating a transmission path of a stimulation signal when the part of the human body is trained, the channel data comprises at least one of training intensity and current value, and M is a positive integer.
In the embodiment of the present application, 8 training channels are shown, it can be understood that, in order to enable a user to experience stimulation training more comprehensively, more training parts may be divided in a human body, one part corresponds to one training channel, and there may be more training channels. The channel data includes training intensity of the training channel, which indicates intensity of the stimulation signal when the part of the human body is trained, and a current value of the training channel. The channel data comprises total training intensity, training intensity and current values, wherein the current values are generated by the training equipment for performing stimulation training on the part according to the total training intensity and the training intensity; the training device performs stimulation training on parts corresponding to a human body according to training intensity of a training channel, for example, in a certain training process, the training device performs stimulation training on three parts of the chest, the shoulder and the hip of the human body according to the training intensity of the training channel, the training device returns current values of channels corresponding to the three parts of the chest, the shoulder and the hip to the electronic device, a description is given to the current values of the training channels by taking an example, in a certain training process, 8 training channels returned from the training device are 693, 218, 510, 725, 264, 397, 322 and 1 in sequence, the 8 training channels correspond to the back, the waist, the hip, the leg, the chest, the arm, the abdomen and the 8 th channel of the human body in sequence, the value of each training channel is divided by 18.5 to obtain the current value of the training channel, the unit of the current value is milliampere (mA), and then the current value is divided by 1000, and converting the current value with the unit of milliampere (mA) into the current value with the unit of ampere (A), and calculating the current value of the training channel according to a formula I.
The current value (A) of the training channel is equal to the value of the training channel/18.5/1000, formula I
The current value of each training channel may be obtained through calculation according to the first formula, which is described in the embodiment of the present application by taking the current value of each training channel obtained through calculation according to the first formula as an example, and the current value may also be obtained through other calculation methods, which is not limited in the embodiment of the present application. It can be understood that, in the embodiment of the present application, the example that the current values of all the 8 channels are returned is taken as an example for explanation, and it does not represent that the 8 training channels are all in a working state during the stimulation training, and if the stimulation training is performed only on the back, the waist and the hip during the stimulation training, in an achievable manner, the training device returns the current values of the 3 training channels corresponding to the back, the waist and the hip of the human body to the electronic device; in another implementation manner, the training device returns the current values of 8 training channels to the electronic device, where, of the current values of 8 training channels, the current value of the training channel corresponding to the leg, the chest, the arm, the abdomen, and the 8 th channel of the human body is 0, which is not limited in this embodiment of the present application.
Optionally, in an embodiment of the present application, acquiring M channel data of M training channels includes: receiving M channel data transmitted by the training equipment, wherein the M channel data comprise M current values generated by performing stimulation training on the part of the human body according to the total training intensity and the training intensities of the M training channels.
The training intensity of the training channels is adjusted by adjusting the voltage of the stimulation signals, the total training intensity in the training channels is the training intensity of controlling the M training channels, the total training intensity in all the channels is adjusted by adjusting the total voltage in all the channels, the local training intensity in a single channel is adjusted by adjusting the voltage in the single channel, for example, the local training intensity of the legs can be adjusted by adjusting the voltage of the channel corresponding to the legs; by adjusting the voltage of the 8 th channel, it is possible to adjust the local training intensity for the stimulation training of the parts other than the waist, abdomen, legs, arms, chest, back, and buttocks. In the embodiment of the application, when the stimulation training is performed on the part of the human body, the case that the training part is on the hip is taken as an example for explanation, the training intensity finally adopted when the stimulation training is performed on the hip is determined according to the total training intensity and the training intensity of the training channel corresponding to the hip, the training message is generated according to the training intensity adopted when the stimulation training is performed on the hip, the training equipment is controlled to perform the stimulation training on the hip of the human body according to the training message, and the current value corresponding to the hip is generated.
The electronic equipment generates a training message according to the total training intensity and the training intensity of a training channel, the training message is sent to the training equipment, the training equipment performs stimulation training on a part corresponding to a human body according to the training message, a stimulation signal can be a voltage signal, the human body is a conductive body, a current value can be generated after pressure is applied to the training part of the human body, the training equipment returns the current value of the channel corresponding to the training part to the electronic equipment, optionally, the current value returned by the channel can be obtained by converting the output power of the channel, the training amount of the part corresponding to the channel is determined according to the channel data of the training channel, and the training effect data of the training of a user at this time can be determined according to the training amount. Here, an application scenario is listed to describe the training data processing of the present application, as shown in fig. 2, fig. 2 is an application scenario diagram provided by an embodiment of the present application, and includes but is not limited to an electronic device 10, a training device 20 and a human body 30, a training part 40 of the human body, where the electronic device 10 may be but is not limited to a user end device such as a mobile phone, a tablet computer, and a mobile computer, and as long as the electronic device capable of executing the training method is within the protection range of the present application, the human body 30 may be any user, the electronic device 10 is connected to the training device 20 through bluetooth before training, the electronic device 10 may communicate with the training device 20 through bluetooth, and may also communicate through other wireless communication methods, for example, infrared, wifi, NB-IoT (Narrow Band Internet of Things), and the like. The electronic device 10 in fig. 2 generates a training message according to the training intensity of the training channel, transmits the training message to the training device 20, and the training device 20 is connected to a part 40 of the human body 30 through a connecting line to transmit a stimulation signal, wherein the connecting part 40 in fig. 2 is shown in the waist, and it is understood that the connecting part may be a part such as the chest, the hip, the leg, the arm, the abdomen, the back, a special part, and the like, the special part may be any part of the human body, and the connecting part 40 in fig. 2 is only an exemplary illustration. The training device 20 transmits the stimulation signal to the waist of the human body through the channel, performs stimulation training on the waist of the human body 30, and transmits related data generated by the stimulation training, for example, the current value of the training channel is transmitted to the electronic device 10, the training intensity of the channel is used for indicating the intensity of the stimulation signal when the part 40 of the human body 30 is trained, the training amount of the part corresponding to the channel is determined according to the channel data of the training channel, the training effect data of the user in the training can be determined according to the training amount, so that the user can intuitively feel the training effect of the training, for example, the energy consumed by the training, or the target achieved by the training, the interactivity between the user and the electronic device is improved, and the diversified fitness training requirements of the user are effectively adapted.
8 training passageways of this application embodiment include 7 passageways corresponding to human chest, back, abdomen, arm, waist, buttockss, leg to and for coping with the 8 th training passageway of the crowd of special training target, wherein human chest, back, abdomen, arm, waist, buttockss, 7 positions of leg are obtained according to human main muscle group division, can stimulate the training to the different positions of human body through 8 training passageways, in order to reach comprehensive, the diversified training to human body. In an implementation manner, the chest of the human body can be stimulated and trained through a training channel corresponding to the chest, which is described by taking the chest as an example, the chest can also be the back, the abdomen, the arms, the waist, the buttocks, the legs and the like, and any part of the human body can also be stimulated and trained through an 8 th training channel independently, for example, the part of the human body is contacted by various different manners such as a bandage, a belt, a patch and the like so as to be stimulated and trained independently; in another realizable mode, a plurality of training channels can be flexibly configured and combined through self-defined training channel configuration items according to different human bodies and different training targets, for example, the training channels corresponding to the legs and the training channels corresponding to the chest are selected to simultaneously perform stimulation training on the legs and the chest of the human body, so that diversified training effects are realized; in another implementation manner, a lower limb training mode may be predefined in the electronic device, where the lower limb training mode is used to indicate data related to 2 training channels corresponding to the buttocks and the legs of the human body, and when the lower limb training mode is selected, the chest, the back, the abdomen, and the waist of the human body may be simultaneously subjected to stimulation training, so as to achieve diversified training effects; in another implementation manner, an upper limb training mode may be predefined in the electronic device, where the upper limb training mode is used to indicate relevant data of 4 training channels corresponding to the chest, back, abdomen, and waist of the human body, and when the upper limb training mode is selected, the chest, back, abdomen, and waist of the human body may be simultaneously subjected to stimulation training, so as to achieve diversified training effects; in another realizable mode, the user performs custom configuration according to the utilization condition of the training channel, and performs stimulation training on the corresponding part of the human body by using the unoccupied training channel, thereby realizing the flexibility of the stimulation training.
And step 102, determining training data according to the M channel data.
Wherein the training data is indicative of a training volume comprising M parts corresponding to the training channels.
In the embodiment of the application, one channel corresponds to one channel data, the training device performs stimulation training on the part of the human body according to the training intensity of the training channel, different training intensities enable the part of the human body to feel different stimulation, and the training amount generated by the stimulation is different. Training data of a part corresponding to the training channel can be obtained according to one channel data, and the training data of M parts can be obtained by calculating M channel data.
Optionally, in an embodiment of the present application, the channel data further includes a total training intensity, and determining the training data according to the M channel data includes: and determining the training amount of M parts corresponding to the training channels according to the current values corresponding to the M training channels, the training intensity of the M training channels and the total training intensity, wherein the total training intensity is used for indicating and controlling the training intensity of the M training channels.
When calculating the training data of each part, the training data of the part is determined according to the training intensity of the training channel corresponding to the part, the current value of the training channel corresponding to the part, and the total training intensity, and the training data of each part can be calculated according to the formula two.
Training data for each part is total training intensity × 63 × training intensity of training channel/10000 × current value of training channel × 2.9968, and formula two
The total training intensity in the formula two is to control the training intensity of all training channels, and the training data of each part can be calculated according to the formula two, which is described in the embodiment of the present application by taking the training data of each part calculated by the formula two as an example, it can be understood that the training data can also be obtained by other calculation methods, and thus, the embodiment of the present application is not limited. After obtaining the training data of each part according to the formula two, for example, taking the example that the training part is on the leg, chest, and hip of the human body as an example, after obtaining the training data of the leg, chest, and hip according to the formula two, determining the training data of the human body according to the training data of the leg, chest, and hip, in an achievable way, the training data of the leg, chest, and hip may be added to be used as the training data of the human body, in another achievable way, the training data of the leg, chest, and hip may be averaged to be used as the training data of the human body, and other calculation methods may be used as the training data of the human body, which is not limited in the embodiment of the present application.
And 103, determining the effect data of the human body according to the training data.
Wherein the human body effect data is used to indicate a training effect of the human body.
Confirm the data of human training effect according to training data in this application, it is further, can show effect data to the user, it is optional, show effect data on the APP of specific little letter applet or training usefulness of being connected with electronic equipment electricity, the display mode can not be restricted to form, graphic form or curve form, make the user can know the effect of this training, the interactivity between user and the electronic equipment has been improved, thereby effectively adapt to the diversified body-building training demand of user.
Optionally, in an embodiment of the present application, the effect data includes a calorie consumption amount, and the determining the effect data of the human body according to the training data includes: determining N single calorie consumptions according to N training data and body data of a human body, wherein N is the communication frequency between the electronic equipment and the training equipment for stimulation training, and N is a positive integer; and determining the sum of the N single calorie consumptions as the calorie consumption of the human body.
The electronic equipment and the training equipment are communicated with each other, the generated training message is sent to the training equipment, the training equipment trains the part corresponding to the channel according to the training message, and the training equipment returns the running data generated in the training process to the electronic equipment. In an embodiment of the present application, the communication time interval between the electronic device and the training device is set to 3 seconds, that is, data interaction is performed between the electronic device and the training device every 3 seconds. Certainly, the communication time interval can be set according to the actual situation, and can also be set to be real-time communication, so as to ensure that the data interaction between the electronic equipment and the training equipment is not delayed. In the embodiment of the application, the electronic device and the training device for stimulation training are communicated for N times, wherein N is a positive integer, namely N times of data interaction is performed between the electronic device and the training device, one training data can be obtained every time the electronic device and the training device interact with each other, after N times of interaction between the electronic device and the training device, N training data can be obtained through calculation, N single calorie consumption is determined according to the N training data and body data of a human body, and the single calorie consumption can be calculated according to a formula III.
Single calorie consumption is (training data/100 +1) × body data of human body, formula three
The training data in the formula III refers to training data of a human body, and the single calorie consumption represents the sum of calorie consumption generated by M training channels after the electronic equipment and the training equipment complete one-time communication. After the electronic equipment and the training equipment finish N times of communication, N single calorie consumptions can be obtained, and the sum of the N single calorie consumptions is used as the calorie consumption of the human body. According to the embodiment of the application, the calorie consumption is calculated once per communication, namely the calorie consumption is calculated in real time, so that a user can know the energy generated in the stimulation training process all the time, the whole stimulation training process is known, the interactivity between the user and the electronic equipment is improved, and the diversified fitness training requirements of the user are effectively met.
Optionally, in an embodiment of the present application, the effect data includes a calorie consumption amount, and the determining the effect data of the human body according to the training data includes: after the stimulation training is finished, determining M total training quantities according to the training quantities of M parts included in the training data, wherein one part corresponds to one total training quantity; determining M single-channel calorie consumption amounts according to the M total training amounts and body data of a human body; and determining the sum of the M single-channel calorie consumption as the calorie consumption of the human body.
In the amazing training in-process, can intercommunicate many times between electronic equipment and the training equipment, amazing training ends, accumulate the training volume of every position, obtain the total training volume of this position after this amazing training, a position corresponds a total training volume, can calculate M total training volumes according to the training volume of M positions that training data includes, confirm the single channel calorie consumption that corresponds with this position according to the total training volume of a position and human body data, can calculate single channel calorie consumption according to formula four.
Single channel calorie consumption (training data per part/100 +1) × body data of human body, formula four
The training data of each part in the formula IV is the training amount of each training part, after the electronic equipment and the training equipment finish multiple communications, the sum of the calorie consumption generated by the training channel corresponding to each training part is taken as the single-channel calorie consumption, the chest of the training part is taken as an example for explanation, after the electronic equipment and the training equipment finish multiple communications, the calorie consumption generated by the training channel corresponding to the chest is accumulated and taken as the total training amount of the chest after the training, and therefore the total training amount of each training part can be obtained; the calorie value consumed by the stimulation training is equal to the sum of the single-channel calorie values consumed by each training channel. In the embodiment of the application, after one complete stimulation training, the single-channel calorie consumption of each training channel is calculated, and a user can know the energy generated by the channel corresponding to the training part after the stimulation training, so that the stimulation training effect of the specific part is further known.
Optionally, in an embodiment of the present application, the method further includes determining the body data of the human body according to the sex of the human body and the health level of the human body.
The body data of the user is obtained through calculation according to the gender and the health degree of the user, the health degree of the user can be described by a health grade, for example, the health grade takes a value of 1 to 4, which sequentially indicates that the health of the user is poor, good and excellent, and the body data of the user can be calculated by a formula five and a formula six:
user physical data (male) 0.15262619 × (health grade/5 +1-0.2), formula five
User physical data (female) 0.1329497 × (health grade/5 +1-0.2), formula six
It should be noted that the user body data in the present application may also be obtained by other calculation methods, and in the embodiment of the present application, the body data of the male user and the body data of the female user are calculated by using the formula five and the formula six, respectively, which is not meant to limit the embodiment of the present application.
Optionally, in an embodiment of the present application, the effect data includes a training index, and the determining the effect data of the human body according to the training data includes: and taking the average value of the N training data as a training index, wherein N is the communication frequency between the electronic equipment and the training equipment for stimulation training, and N is a positive integer.
One training data can be obtained by one interaction between the electronic equipment and the training equipment, N training data can be obtained by calculation after N interactions between the electronic equipment and the training equipment, and the average value of the N training data is used as a training index. In the embodiment of the application, a training index is calculated once per communication, and the user can know the training effect in the stimulation training process at any time by calculating the training index in real time, so that the interactivity between the user and the electronic equipment is improved, and the diversified fitness training requirements of the user are effectively met
Optionally, in an embodiment of the present application, the effect data includes a training index, and the determining the effect data of the human body according to the training data includes: after the stimulation training is finished, determining M total training quantities according to the training quantities of M parts included in the training data, wherein one part corresponds to one total training quantity, and taking the average value of the M total training quantities as a training index.
In amazing the training in-process, can intercommunicate many times between electronic equipment and the training equipment, amazing the training end, accumulate the training volume of every position, obtain the total training volume of this position after this time amazing the training, regard the average value of M total training volumes as the training index, in this application embodiment be after a complete amazing training, calculate the total training volume of every training passageway, the user can know the produced energy of the passageway that corresponds with the training position after amazing the training, make the amazing training effect to specific position have further understanding.
Example II,
An embodiment of the present application provides a training data processing apparatus, as shown in fig. 3, and fig. 3 is a training data processing apparatus provided in an embodiment of the present application. The training data processing apparatus 30 includes:
an obtaining module 301, where the obtaining module 301 is configured to obtain M channel data of M training channels, one training channel corresponds to one part of a human body, the training channel is configured to indicate a transmission path of a stimulation signal when the part of the human body is trained, the channel data includes at least one of a training intensity and a current value, and M is a positive integer;
a training data determining module 302, wherein the training data determining module 302 is configured to determine training data according to the data of the M channels, and the training data includes training amounts of M parts corresponding to the training channels;
the effect data determining module 303, the effect data determining module 303 is configured to determine effect data of a human body according to the training data, and the effect data of the human body is used to indicate a training effect of the human body.
Optionally, the channel data further includes a total training intensity, and the training data determining module 302 is configured to determine, according to the current values corresponding to the M training channels, the training intensities of the M training channels, and the total training intensity, training amounts of the M parts corresponding to the training channels, where the total training intensity is used to instruct and control the training intensities of the M training channels.
Optionally, the effect data includes calorie consumption, the effect data determining module 303 is configured to determine N single calorie consumption according to N training data and body data of a human body, where N is a number of times of communication between the electronic device and a training device performing stimulation training, and N is a positive integer;
and determining the sum of the N single calorie consumptions as the calorie consumption of the human body.
Optionally, the effect data includes a training index, the effect data determining module 303 is configured to use an average value of N pieces of training data as the training index, N is a number of times of communication between the electronic device and the training device performing the stimulation training, and N is a positive integer.
Optionally, the obtaining module 301 is configured to receive M channel data transmitted by the training device, where the M channel data includes M current values generated by performing stimulation training on the part of the human body according to the total training intensity and the training intensities of the M training channels.
The training data processing device 30 further comprises a body data determination module for determining body data of the human body according to the sex of the human body and the health grade of the human body.
Example III,
Based on the training data processing method described in the first embodiment, the present application provides an electronic device, and it should be noted that the training data processing method of the present embodiment may be executed by any suitable electronic device with data processing capability, including but not limited to: server, mobile terminal (such as mobile phone, PAD, etc.), PC, etc. Fig. 4 is a block diagram of an electronic device according to an embodiment of the present disclosure; as shown in fig. 4, the electronic apparatus includes: a processor 401, a memory 403, and computer programs stored in the memory 403 and executable on a computer.
The processor 401 and the memory 403 complete communication with each other through the communication bus 404.
Optionally, the electronic device further includes: communication interface 402. communication interface 402 is an interface to a communication module, such as a GSM module.
The processor 401 may be specifically configured to execute the training data processing method of the first embodiment. The memory 403 may be internal to the electronic device or external to the electronic device.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include: smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads.
(3) A portable entertainment device: such devices can display and play multimedia content. This type of device comprises: audio, video players (e.g., ipods), handheld game consoles, electronic books, and smart toys and portable car navigation devices.
(4) A server: the device for providing computing service, the server comprises a processor 810, a hard disk, a memory, a system bus and the like, the server is similar to a general computer architecture, but the server needs to provide highly reliable service, so the requirements on processing capability, stability, reliability, safety, expandability, manageability and the like are high.
(5) And other electronic devices with data interaction functions.
Example four,
The embodiment of the present application further provides a wearable device, as shown in fig. 5, fig. 5 is a structural diagram of the wearable device provided in the embodiment of the present application, the wearable device is worn on a human body, and a stimulation training component is provided in the wearable device, and is used for receiving control of the electronic device of the third embodiment, and performing stimulation training on the human body to generate calories.
Optionally, in an embodiment of the present application, the wearable device includes: a wearable coat 501 which is worn on the upper body of a human body and used for performing stimulation training on the chest, the back, the hip and the abdomen of the human body; and/or, the wearing shorts 502 are used for wearing on the lower body of a human body to perform stimulation training on the legs and the buttocks of the human body; and/or the wearing belt 505 is used for clinging to the target training part of the human body and carrying out stimulation training on the target training part.
The wearable device of the embodiment of the application can be used for completing the stimulation training method in the first embodiment, has the beneficial effects of the corresponding method embodiments, and is not repeated here.
Example V,
An embodiment of the present application further provides a training data processing system, as shown in fig. 6, fig. 6 is a structural diagram of the training data processing system provided in the embodiment of the present application, where the system includes: the electronic device 601, the training device 602 and the wearable device 603 shown in the third embodiment; the electronic device 601 is connected with the training device 602, the training device 602 is electrically connected with the wearable device 603, and the training device 602 is used to control the wearable device 603 to perform stimulation training on the target object.
In the training data processing system according to the embodiment of the present application, reference may be made to any of the above embodiments for specific operation execution of the electronic device 601, the training device 602, and the wearable device 603, and specific operation execution is not described in detail herein.
Example six,
Based on the method for processing training data described in the first embodiment, an embodiment of the present application provides a computer storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the method for processing training data described in the first embodiment.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts suggested as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above is only one embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A training data processing method applied to an electronic device, the method comprising:
acquiring M channel data of M training channels, wherein one training channel corresponds to one part of a human body and is used for indicating a transmission path of a stimulation signal when the part of the human body is trained, the channel data comprises at least one of training intensity and current value, and M is a positive integer;
determining training data according to the M channel data, wherein the training data comprises M training quantities of parts corresponding to the training channels;
and determining the effect data of the human body according to the training data, wherein the effect data of the human body is used for indicating the training effect of the human body.
2. The method of claim 1, wherein the channel data further comprises a total training intensity, and wherein determining training data from the M channel data comprises:
and determining the training amount of M parts corresponding to the training channels according to the current values corresponding to the M training channels, the training intensity of the M training channels and the total training intensity, wherein the total training intensity is used for indicating and controlling the training intensity of the M training channels.
3. The method according to claim 1 or 2, wherein the effect data comprises the calorie consumption, and determining the effect data of the human body from the training data comprises:
determining N single calorie consumptions according to the N training data and the body data of the human body, wherein N is the communication frequency between the electronic equipment and the training equipment for stimulation training, and N is a positive integer;
determining the sum of the N single calorie consumptions as the calorie consumption of the human body.
4. The method according to claim 1 or 2, wherein the effect data comprises a training index, and determining the effect data of the human body from the training data comprises:
and taking the average value of the N training data as a training index, wherein N is the communication frequency between the electronic equipment and the training equipment for stimulation training, and N is a positive integer.
5. The method of claim 1, wherein obtaining M channel data for M training channels comprises:
receiving the M channel data transmitted by training equipment, wherein the M channel data comprise M current values generated by performing stimulation training on the part of the human body according to the total training intensity and the training intensities of the M training channels.
6. The method according to claim 1 or 2, characterized in that the method further comprises:
and determining the body data of the human body according to the sex of the human body and the health grade of the human body.
7. A training data processing apparatus, comprising:
the device comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring M channel data of M training channels, one training channel corresponds to one part of a human body, the training channel is used for indicating a transmission path of a stimulation signal when the part of the human body is trained, and the channel data comprises at least one of training intensity and current value;
a training data determination module, configured to determine training data of M parts according to the M channel data, where the training data is used to indicate training amounts of the M parts;
the effect data determining module is used for determining the effect data of the human body according to the training data, and the effect data of the human body is used for indicating the training effect of the human body.
8. An electronic device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor;
wherein the processor is configured to implement the training data processing method of any of the preceding claims 1-6 when executing the computer program.
9. A wearable device, comprising: the wearable main body is worn on the body of a human body, and a stimulation training component is arranged in the wearable main body and used for receiving the control of the electronic equipment of claim 8 to perform stimulation training on the human body so as to generate calories.
10. The wearable device according to claim 9, comprising:
a wearing jacket for wearing on the upper body of the human body to perform a stimulation training on the chest, back, arms, and abdomen of the human body to generate calories;
and/or, wear the shorts, is used for wearing on the lower part of the human body, carry on the stimulation training to the leg, buttock of the said human body, in order to produce the calorie;
and/or the wearing belt is used for being tightly attached to the target training part of the human body and carrying out stimulation training on the target training part so as to generate calories.
11. A training data processing system, comprising: the electronic device, the training device of claim 8 and the wearable device of claim 9 or 10;
the electronic equipment is electrically connected with the training equipment, the training equipment is electrically connected with the wearing equipment, and the training equipment is used for controlling the wearing equipment to perform stimulation training on a human body so as to generate calories.
12. A computer-readable medium, characterized in that the computer-readable medium stores a computer program which, when executed by one or more processors, implements the training data processing method according to any one of claims 1 to 6.
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Effective date of registration: 20240712 Address after: No. 500, Xincheng Road, Jiading District, Shanghai, 201822 Patentee after: Shanghai Qinglian Technology Co.,Ltd. Country or region after: China Address before: Block B, science and Technology Park, National University of nanotechnology, 388 Ruoshui Road, Suzhou Industrial Park, 215000, Jiangsu Province Patentee before: Suzhou Yixing Health Technology Co.,Ltd. Country or region before: China |