CN106897802A - Data processing method, device and body-building machine people - Google Patents
Data processing method, device and body-building machine people Download PDFInfo
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- CN106897802A CN106897802A CN201710225621.3A CN201710225621A CN106897802A CN 106897802 A CN106897802 A CN 106897802A CN 201710225621 A CN201710225621 A CN 201710225621A CN 106897802 A CN106897802 A CN 106897802A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B1/00—Horizontal bars
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0059—Exercising apparatus with reward systems
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
- A63B2024/0071—Distinction between different activities, movements, or kind of sports performed
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/01—User's weight
- A63B2230/015—User's weight used as a control parameter for the apparatus
Abstract
The invention discloses a kind of data processing method, device and body-building machine people.The data processing method, can include：The heat consumption of user in predetermined time interval is calculated according to user movement data；Heat consumption and the changes of weight of user in the predetermined time interval for obtaining according to user in predetermined time interval, predict the heat consumption and corresponding changes of weight of user in following predetermined time interval；According to the heat consumption and the changes of weight of the user for obtaining of the user for obtaining, and the changes of weight that the heat consumption for obtaining and prediction are obtained is predicted, judge that can user complete to be expected fitness program；According to judged result, the specified heat consumption and the specified changes of weight of user of user in the predetermined time interval in the expected fitness program of amendment.Data processing method disclosed by the invention, can be according to the user movement data for obtaining, the fitness program to user adjust in time, it is ensured that original fitness goals are smoothly completed.
Description
Technical field
The invention belongs to intelligent body-building technical field, more particularly to a kind of data processing method, device and body-building machine people.
Background technology
Some intelligent body-building products, for example, wearable fitness product, be built-in with body-building APP portable intelligent communication
Terminal etc. can gather user for body-building data.Some the intelligent body-building products rarely having, can according to user's loss of weight target, loss of weight when
Between, personal like etc. fitness program is provided.
But, due to the factor of each side, the exercise position of user is difficult to maintain constant level.Some accidents
Or can not resist the factor also to influence the completion of user for body-building plan, this causes that original fitness program cannot adapt to showing for user
Shape, causes fitness program to complete.
User when each exercise position changes, in order to complete the fitness goals that original fitness program is formulated,
Needs are manually adjusted to fitness program, and the user for being must largely repeatedly input original sign, loss of weight time, personal like
Etc. user profile, fitness program is updated manually.Simultaneously as the change of fitness program, based on new user profile, causes user
Body-building history is relative to isolate, and is not easy to be tracked user for body-building situation.
The content of the invention
A kind of data processing method, device and body-building machine people are the embodiment of the invention provides, can be according to the use for obtaining
Family exercise data, the fitness program to user is adjusted in time, it is ensured that original fitness goals are smoothly completed.
A kind of first aspect, there is provided data processing method, can include：
The heat consumption of user in predetermined time interval is calculated according to user movement data；According to being used in predetermined time interval
The changes of weight of user, predicts user in following predetermined time interval in the heat consumption at family and the predetermined time interval for obtaining
Heat consumption and corresponding changes of weight；The heat consumption of the user that foundation is obtained and the changes of weight of the user for obtaining, with
And the heat consumption and the changes of weight of prediction acquisition that prediction is obtained, judge that can user complete to be expected fitness program；According to sentencing
Disconnected result, the specified heat consumption of user and the specified body weight of user become in the predetermined time interval in the expected fitness program of amendment
Change.
In the first possible implementation, the above-mentioned heat consumption according to user in predetermined time interval and obtain
The changes of weight of user in predetermined time interval, predicts the heat consumption and corresponding body of user in following predetermined time interval
Change again, can include：
The changes of weight of user in heat consumption according to user in predetermined time interval and the predetermined time interval for obtaining,
By the heat consumption and corresponding changes of weight of user in following predetermined time interval of least square model.
It is above-mentioned according to predetermined time interval in second possible implementation with reference to above-mentioned possible implementation
The changes of weight of user, predicts in following predetermined time interval in the heat consumption of interior user and the predetermined time interval for obtaining
The heat consumption of user and corresponding changes of weight, can include：
By Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3+…+wn×Kt-nPredict user in following predetermined time interval
Heat consumption；
By the heat consumption K of user in following predetermined time interval that prediction is obtainedtUsed with predetermined time interval
The changes of weight at family calculates the KtCorresponding changes of weight；
Wherein, KtIt is the heat consumption of user in t-th predetermined time interval of prediction, n is predetermined for user's actual motion
Time interval number, Kt-nIt is the heat consumption of user in the t-n predetermined time interval, wnFor in the t-n predetermined time interval
The weight of the heat consumption of user, w1+w2+…+wn=1.
With reference to above-mentioned possible implementation, in the third possible implementation, above-mentioned data processing method may be used also
To include：
The athletic performance of the user movement data identifying user based on collection；Athletic performance is compared with deliberate action
Right, when athletic performance and deliberate action are mismatched, instruction is corrected in generation action, and the athletic performance to user is corrected.
With reference to above-mentioned possible implementation, in the 4th kind of possible implementation：
Above-mentioned user movement data can include the amplitude of the athletic performance of user.
Above-mentioned that athletic performance is compared with deliberate action, when athletic performance and deliberate action are mismatched, generation is dynamic
Make to correct instruction, the athletic performance to user is corrected, can included：
The amplitude of athletic performance is compared with the amplitude of deliberate action, when the amplitude of athletic performance exceeds deliberate action
Designated magnitude scope when, teaching instruction is corrected in generation action, and the athletic performance to user corrects.
With reference to above-mentioned possible implementation, in the 5th kind of possible implementation：
User movement data can include the frequency of the athletic performance of user.
Above-mentioned that athletic performance is compared with deliberate action, when athletic performance and deliberate action are mismatched, generation is dynamic
Make to correct instruction, the athletic performance to user is corrected, can included：
The frequency of athletic performance is compared with the specified frequency scope of deliberate action, when the frequency of athletic performance does not exist
During the specified frequency scope of deliberate action, generation includes that the action correction instruction of prompting message, the motion to user are corrected in action
Action is corrected.
With reference to above-mentioned possible implementation, in the 6th kind of possible implementation：
User movement data can include the sign data of user.
When the above-mentioned amplitude when athletic performance is beyond the designated magnitude scope of deliberate action, generation action is corrected guidance and is referred to
Order, before being corrected to the athletic performance of user, can also include：
Sign data according to user obtains the feature sign data of user, wherein, feature sign packet includes user's
Shoulder position data and hip position data；Feature based sign data is positioned to user plane.
With reference to above-mentioned possible implementation, in the 7th kind of possible implementation：
Above-mentioned data processing method also includes：
When the specified heat consumption by user movement data judging user unfinished user interior at preset time intervals and
During in idle condition, user is punished by pre-defined rule；
And/or,
When by the user movement data judging user specified heat consumption of interior completion user at preset time intervals, obtain
The view data of user in the exercise data of family in different periods is taken, and sends prompting message to point out user to turn view data
It is sent to network social intercourse platform
A kind of second aspect, there is provided data processing equipment, can include：Actual heat computing unit, predicting unit, sentence
Disconnected unit and amending unit.
The actual heat computing unit can be used for being calculated according to user movement data the heat of user in predetermined time interval
Amount consumption.
The predicting unit can be used for according between the heat consumption of user in predetermined time interval and the scheduled time of acquisition
Every the changes of weight of interior user, the heat consumption and corresponding changes of weight of user in following predetermined time interval are predicted.
The judging unit can be used for the changes of weight of the heat consumption and the user for obtaining according to the user for obtaining, and
The changes of weight of the heat consumption and prediction acquisition for obtaining is predicted, judges that can user complete to be expected fitness program.
The amending unit can be used for according to judged result, user in the predetermined time interval in the expected fitness program of amendment
Specified heat consumption and user specified changes of weight.
In the first possible implementation, the predicting unit can be also used for：According to user in predetermined time interval
Heat consumption and the predetermined time interval that obtains in user changes of weight, by following pre- timing of least square model
Between interval in user heat consumption and corresponding changes of weight.
With reference to above-mentioned possible implementation, in second possible implementation, above-mentioned predicting unit can also be used
In：
By Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3+…+wn×Kt-nPredict user in following predetermined time interval
Heat consumption；
By the heat consumption K of user in following predetermined time interval that prediction is obtainedtUsed with predetermined time interval
The changes of weight at family calculates the KtCorresponding changes of weight；
Wherein, KtIt is the heat consumption of user in t-th predetermined time interval of prediction, n is predetermined for user's actual motion
Time interval number, Kt-nIt is the heat consumption of user in the t-n predetermined time interval, wnFor in the t-n predetermined time interval
The weight of the heat consumption of user, w1+w2+…+wn=1.
With reference to above-mentioned possible implementation, in the third possible implementation, above-mentioned data processing equipment may be used also
To include：Unit is corrected in athletic performance recognition unit and athletic performance.
The athletic performance recognition unit can be used for the athletic performance of the user movement data identifying user based on collection.
The athletic performance correct unit can be used for comparing athletic performance with deliberate action, when athletic performance with it is pre-
If action is mismatched, instruction is corrected in generation action, and the athletic performance to user is corrected.
With reference to above-mentioned possible implementation, in the 4th kind of possible implementation, above-mentioned user movement data can be with
The amplitude of the athletic performance including user.
The athletic performance is corrected unit and be can be also used for：The amplitude of athletic performance is compared with the amplitude of deliberate action
Right, when the amplitude of athletic performance is beyond the designated magnitude scope of deliberate action, teaching instruction is corrected in generation action, to user's
Athletic performance is corrected.
With reference to above-mentioned possible implementation, in the 5th kind of possible implementation, above-mentioned user movement data can be with
The frequency of the athletic performance including user.
The athletic performance is corrected unit and be can be also used for：By the frequency of athletic performance and the specified frequency scope of deliberate action
Compare, when the specified frequency scope of the frequency not in deliberate action of athletic performance, generation includes that action correction prompting disappears
Instruction is corrected in the action of breath, and the athletic performance to user is corrected.
With reference to above-mentioned possible implementation, in the 6th kind of possible implementation, above-mentioned user movement data can be with
Sign data including user.
The athletic performance is corrected unit and be can be also used for：Sign data according to user obtains the feature sign number of user
According to, wherein, feature sign packet includes the shoulder position data and hip position data of user；Feature based sign data to
Family plane is positioned.
With reference to above-mentioned possible implementation, in the 7th kind of possible implementation：
Above-mentioned data processing equipment can also include：
Punishment unit, for when the finger for passing through user movement data judging user unfinished user interior at preset time intervals
Determine heat consumption and during in idle condition, user is punished by pre-defined rule；
And/or,
Retransmission unit, for user movement data judging user is interior at preset time intervals to complete specifying for user when passing through
During heat consumption, user and sends prompting message to point out in the view data of different periods in obtaining user movement data
State user and view data is forwarded to network social intercourse platform.
A kind of third aspect, there is provided body-building machine people, can include above-mentioned data processing equipment.
In the first possible implementation, body-building machine people can also include：
Input unit, for obtaining user movement data, is connected with data processing equipment, the user movement number that will be obtained
According to being sent to data processing equipment.
Executing agency, is connected with data processing equipment, and instruction is corrected for receiving the action that data processing equipment sends,
Execution action corrects instruction and user action is corrected.
With reference to above-mentioned possible implementation, in the first possible implementation, above-mentioned executing agency can also use
In：Plane is parallel to user plane where keeping body-building machine people.
Data processing method, device and the body-building machine people for providing according to embodiments of the present invention, by user movement data
The heat consumption of user in predetermined time interval is calculated, the heat consumption according to user in predetermined time interval is predetermined with what is obtained
The changes of weight of user in time interval, predicts that the heat consumption and corresponding body weight of user in following predetermined time interval become
Change.So as to judge that can the fitness goals that be expected in fitness program complete, and according to judged result in expected fitness program
The specified heat consumption of user and the specified changes of weight of user are modified in predetermined time interval.
Ensure that the fitness goals in expected fitness program can be smoothly completed, manually fitness program is adjusted without user
It is whole so that user need not repeatedly input the user profile such as original sign, loss of weight time, personal like and be updated body-building meter manually
Draw.Simultaneously as the adjustment of fitness program is all based on the user movement data for obtaining every time so that the fitness program being corrected
Used as a body-building stage, record is easy to enter user for body-building situation in the overall body-building history that user completes fitness goals
Line trace.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for the embodiment of the present invention
Accompanying drawing is briefly described, it should be apparent that, drawings described below is only some embodiments of the present invention, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of indicative flowchart of the data processing method of embodiment of the invention；
Fig. 2 is the indicative flowchart of the data processing method of another embodiment of the invention；
Fig. 3 is a kind of schematic block diagram of the data processing equipment of embodiment of the invention；
Fig. 4 is the schematic block diagram of the data processing equipment of another embodiment of the invention；
Fig. 5 is a kind of schematic block diagram of the computing device realization of the data processing equipment of embodiment of the invention；
Fig. 6 is a kind of schematic block diagram of the body-building machine people of embodiment of the invention；
Fig. 7 is the schematic block diagram of the body-building machine people of another embodiment of the invention；
Fig. 8 is the schematic block diagram of the body-building machine people of another embodiment of the invention；
Fig. 9 is that a kind of body-building machine people of embodiment of the invention instructs the exemplary process diagram of user for body-building.
Specific embodiment
The feature and exemplary embodiment of various aspects of the invention is described more fully below.In following detailed description
In, it is proposed that many details, to provide complete understanding of the present invention.But, to those skilled in the art
It will be apparent that the present invention can be implemented in the case of some details in not needing these details.Below to implementing
The description of example is better understood from just for the sake of being provided by showing example of the invention to of the invention.The present invention is never limited
In any concrete configuration set forth below and algorithm, but cover under the premise of without departing from the spirit of the present invention element,
Any modification, replacement and the improvement of part and algorithm.In the the accompanying drawings and the following description, known structure and skill is not shown
Art, to avoid that unnecessary obscuring is caused to the present invention.
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.Embodiments of the invention are with workout data
Illustrated as a example by treatment.
Fig. 1 is a kind of indicative flowchart of the data processing method of embodiment of the invention.As shown in figure 1, the data
Processing method can include step S110~S140.
S110, the heat consumption of user in predetermined time interval is calculated based on the user movement data for obtaining.Above-mentioned user
Exercise data can include numerous types of data, and obtain in several ways.
In some instances, above-mentioned user movement data can include type of sports, run duration, the exercise intensity of user
Deng.Above-mentioned user movement data can also include user's sign data, for example, age, height, sex, body weight, heart rate etc..On
Stating user movement data can also include other and the relevant data of heat consumption in motion or after motion of user, for example, with
The diet data at family, body-building preference data of user etc..
In some instances, above-mentioned user movement data can be adopted by the various kinds of sensors included in various intelligent terminals
Collection is obtained.For example, by acceleration transducer, gyroscope built-in in mobile phone or panel computer etc. can perceive user action or
The sensor of sign data is obtained.For example, it is also possible to pass through Intelligent worn device, for example, passing through motion bracelet, smart motion ear
Machine, smart motion clothing etc. are obtained.Certainly, these user movement data can also directly input acquisition by user.
In some instances, time of the above-mentioned predetermined time interval as just the heat consumption of counting user unit interval
Unit, it is possible to be various chronomeres.For example, it may be one day, one week or in units of hour.Do not limit herein
It is fixed.
The body weight of user in S120, heat consumption according to user in predetermined time interval and the predetermined time interval for obtaining
Change, predicts the heat consumption and corresponding changes of weight of user in following predetermined time interval.
In some instances, the changes of weight of user can be pre- according to what is obtained in the predetermined time interval of above-mentioned acquisition
The heat consumption of user in being spaced of fixing time is calculated and obtained, it is also possible to obtained by direct measurement.
In some instances, heat consumption that can in several ways according to user in predetermined time interval and acquisition
The changes of weight of user in predetermined time interval, predicts the heat consumption and corresponding body of user in following predetermined time interval
Change again.For example, can be by following predetermined time interval of least square method, sorting algorithm or Neural Network Prediction
The heat consumption of user and corresponding changes of weight.
S130, according to the heat consumption and the changes of weight of the user for obtaining of the user for obtaining, and the heat that prediction is obtained
The changes of weight that amount consumption and prediction are obtained, judges that can user complete to be expected fitness program.
In some instances, above-mentioned expected fitness program can be by user's manual customization, it is also possible to by the use for gathering
User data is combined existing or obtained from the body-building Correlative data analysis collected in the webserver.
In one example, user input data is：Body weight：60 kilograms (kg)；Sex：Women；Fitness goals are：30 days
Interior loss of weight 2.5kg.It is B (unit is calorie) that can so be calculated per the per day heat that need to be consumed according to fitness goals,
Wherein B=2.5 ÷ 30 × 7000, here 7000 be that every loss of weight 1kg consumes calorie.
Calorie further according to the diet of user input takes in the C cards of situation, and routine basis metabolism and motion consumption
D cards, calculate the target calorie E cards of consumption needed for user for body-building：E=B-D+C
Then motion preference according to user input passes through the user's that sensor is perceived for a long time according to intelligent terminal
Motion preference (as run, Yoga etc.), selects corresponding sports events.
For example, can be confirmed corresponding sports events rear line is selected, consumed according to needed for user for body-building
Target calorie E cards, and each type games and the corresponding relation for consuming calorie calculate the daily run duration of user,
Complete the foundation that user is expected fitness program.For example：The target calorie E cards of user are 350 cards, and motion preference is fitness exercise,
Assuming that the heat that fitness exercise is averagely consumed per hour is 350 cards, then daily run duration can be calculated for 1 hour.
S140, according to judged result, the specified heat of user disappears in the predetermined time interval in the expected fitness program of amendment
Consumption and the specified changes of weight of user.
In some instances, can be by predicting that the changes of weight of the heat consumption and prediction acquisition for obtaining is calculated in expection
The completion moment of fitness program, total amount of heat and total changes of weight that user can consume.Can consuming of obtaining will be calculated
Total amount of heat and total changes of weight are contrasted with the fitness goals of expected fitness program.
If for example, it is strong less than expected fitness program to calculate the total amount of heat that can be consumed for obtaining and total changes of weight
The heat consumption and changes of weight of body target, then need to correct expected fitness program in the remaining time of expected fitness program
The specified heat consumption of user and the specified changes of weight of user complete expected fitness program to reach in middle predetermined time interval
The purpose of the fitness goals of middle formulation.
Therefore, above-mentioned data processing method can calculate user in predetermined time interval by the user movement data for obtaining
Heat consumption, the body weight of user becomes in heat consumption according to user in predetermined time interval and the predetermined time interval for obtaining
Change, predict the heat consumption and corresponding changes of weight of user in following predetermined time interval.So as to judge to be expected body-building meter
Can the fitness goals in drawing complete, and according to judged result to the finger of user in the predetermined time interval in expected fitness program
The specified changes of weight for determining heat consumption and user is modified.
Ensure that the fitness goals planned in expected fitness program can be smoothly completed, manually fitness program is entered without user
Row adjustment so that user need not repeatedly input the user profile such as original sign, loss of weight time, personal like and carry out updating strong manually
Body plan.Simultaneously as the adjustment of fitness program is all based on the user movement data for obtaining every time so that the body-building being corrected
A body-building stage record is intended to be in the overall body-building history that user completes fitness goals, is easy to user for body-building situation
It is tracked.
According to some embodiments, S120 can include, can be by Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3+…+wn×
Kt-nPredict the heat consumption of user in following predetermined time interval.Between following scheduled time that can be obtained by prediction
Every the heat consumption K of interior usertChanges of weight with user in predetermined time interval calculates KtCorresponding changes of weight.
Wherein, KtIt is the heat consumption of user in t-th predetermined time interval of prediction, n is predetermined for user's actual motion
Time interval number, Kt-nIt is the heat consumption of user in the t-n predetermined time interval, wnFor in the t-n predetermined time interval
The weight of the heat consumption of user, w1+w2+…+wn=1.
In some examples of above-described embodiment, so that the time is predetermined time interval as an example, user is obtained real daily
The calorie K of border consumptionn(n is the number of days of reality body-building), and daily actual loss of weight Wn(for example, unit is kg), by one
After the body-building in n days stage (for example, actual body-building 10 days, then n=10), at the t days, the changes of weight and heat of interior user disappeared
Consumption, it is possible to use least square method calculates direct equation and is predicted：
Wt=a+b × Kt (1)
Wherein, coefficient a and b can be calculated by formula (2) and formula (3) and obtained：
A=(∑ Wn)/n–b×(∑Kn)/n (2)
B=[n × ∑ (Kn×Wn)-(∑Kn×∑Wn)]/(n×∑Kn 2-∑Kn×∑Wn) (3)
The heat consumption of user in the t days, can be calculated by formula (4) and obtained：
Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3+…+wn×Kt-n (4)
In formula (4), KtIt is the heat consumption of user in the t days of prediction, n is the number of days of reality body-building, Kt-nFor
The heat consumption of user, w in the t-n daysnIt is the weight of the heat consumption of user in the t-n days, w1+w2+…+wn=1.
In some instances, wherein weight wnCan be obtained using empirical method, for example, the side just begun using average weight
Formula is calculated, and can be subsequently adjusted according to the accuracy rate of prediction data.
In other examples of above-described embodiment, in S130 and S140：
Predicting loss of weight W of the user in body-building the t daystAfterwards, can calculate and predict user in expected fitness program
Total loss of weight value W of deadlinef, wherein Wf=∑ Wt, wherein, t=T, T are the total number of days of fitness program.Can be by WfIt is strong with expected
The original object loss of weight value W of body plan is contrasted, and draws deviation
In some instances, daily expected loss of weight target can be corrected
In some instances, it is possible to use formula (1) predicts the follow-up calorie K that should be consumed daily againT is repaiied, according to
KT is repaiiedReadjust fitness program.
Fig. 2 is the indicative flowchart of the data processing method of another embodiment of the invention.As shown in Fig. 2 above-mentioned
Data processing method can also include step S210 and S220.
S210, the athletic performance of the user movement data identifying user based on collection.
The athletic performance of the user movement data identifying user based on collection in S210 can be in several ways.At some
In example, the operating angle of user, movement range, operating frequency, dynamic can be gathered by sensor, camera or wearable device
Make the sign data of the users such as the action data of strength etc., or exercise heart rate, consumption calorie, user's body.
It is for instance possible to use one or more cameras obtain the real-time action of user, extracted from video effective
Motion feature (parameter such as such as user's behavioral characteristics, user's body characteristicses point, depth of field), by the modeling to modelling of human body motion,
Identify action, position and attitude of user etc..
For example, the data such as the exercise heart rate of user and consumption calorie can be by wearable device Real-time Collection.
S220, athletic performance is compared with deliberate action, and when athletic performance and deliberate action are mismatched, generation is dynamic
Make to correct instruction, the athletic performance to user is corrected.
In some instances, the deliberate action in S220 can be that the body-building action training of correlation is downloaded from Cloud Server
Model data.
Based on above-mentioned example, the user movement of identification can be acted and above-mentioned body-building action training model data is carried out
Match somebody with somebody, judge whether the action of user is correct according to different body building scenes, if incorrect, instruction is corrected in generation action,
Athletic performance to user is corrected.
In some instances, above-mentioned user movement data can include the amplitude of the athletic performance of user.
So S220 can include：The amplitude of athletic performance is compared with the amplitude of deliberate action, when
The amplitude of athletic performance beyond deliberate action designated magnitude scope when, generation action correct teaching instruction, to
The athletic performance at family is corrected.
In other examples, above-mentioned user movement data can include the frequency of the athletic performance of user.So S220
Can include：
The frequency of athletic performance is compared with the specified frequency scope of deliberate action, when the frequency of athletic performance does not exist
During the specified frequency scope of deliberate action, generation includes that the action correction instruction of prompting message, the motion to user are corrected in action
Action is corrected.
For example, in scene one：
Body-building is acted, such as strong abdomen, and chest expanding carries out strength building etc. using apparatus, if deviation ratio exceedes predetermined threshold value
(as shown in table 1) is then judged as not meeting, if for example, when operating frequency is one minute 15 times, being judged as not meeting, generation bag
The action correction instruction that prompting message is corrected in action is included, the athletic performance to user is corrected.For example, informing that user now performs
Operating frequency, point out user accelerate movement velocity.
Table 1, motion characteristic contrast table
For example, in scene two：
Body-building is acted, such as Yoga action, and according to the information of user, such as age, sex, history undergoes training degree to judge
Whether the degree in place of user action is met the requirements, and action can be generated if not meeting and corrects instruction, and the motion to user is moved
Corrected.
In some instances, if user can not complete correct operation always in a short time, it is also possible to lower pre- gating
Limit, or adjustment fitness program, are that user selects some low difficulty or low intensive body building.
Instruction is corrected in order to reduce the identification difficulty of user movement action and simplify action, the user movement data of collection are also
The sign data of user can be included.Before above-mentioned S220, can also include：
Sign data according to user obtains the feature sign data of user, wherein, feature sign packet includes user's
Shoulder position data and hip position data.Feature based sign data is positioned to user plane.
In some instances, user movement action can be divided into upper limks movements and lower limb movement, can be used by recognizing
The action of shoulder position positioning user's upper limks movements at family compares plane, can compare plane to user movement based on above-mentioned action
Action is identified, and generates action correction instruction, simplifies user's identification and corrects the dimension data that instruction is generated.So as to drop
Instruction is corrected in the identification difficulty of low user movement action and simplified action.
According to some embodiments, above-mentioned data processing method also includes：
When the specified heat consumption by user movement data judging user unfinished user interior at preset time intervals and
During in idle condition, user is punished by pre-defined rule.For example, the exercise data according to user calculates user one day
Within heat consumption, specify heat consumption when the heat consumption is less than, and judge that user is current by user movement data
During in idle condition, user can be punished by pre-defined rule.For example, allowing user that the ugly approved for distribution of oneself is delivered into net
Network social platform etc..
In some examples of above-described embodiment, above-mentioned data processing method also includes：
When by the user movement data judging user specified heat consumption of interior completion user at preset time intervals, obtain
The view data of user in the exercise data of family in different periods is taken, and sends prompting message to point out the user by picture number
According to being forwarded to network social intercourse platform.In some instances, above-mentioned predetermined time interval can be various time quantums, can also be many
The whole body-building cycle of the combination of individual predetermined time interval, such as plan.The view data of above-mentioned different periods, for example, can be with
Before being user for body-building, photo or video in body-building and after body-building.Body-building meter effectively can be performed to user by the above method
The process drawn carries out progress, improves the consciousness of user for body-building.
Above in conjunction with Fig. 1 and Fig. 2, data processing method according to embodiments of the present invention is described in detail, below will knot
Fig. 3 to Fig. 9 is closed, data processing equipment and body-building machine people according to embodiments of the present invention is described in detail.
Fig. 3 is a kind of schematic block diagram of the data processing equipment of embodiment of the invention.As shown in figure 3, the number
According to processing unit 300, can include：Actual heat computing unit 310, predicting unit 320, judging unit 330 and amending unit
340。
Actual heat computing unit 310 can be used for being calculated in predetermined time interval based on the user movement data for obtaining to be used
The heat consumption at family.
Predicting unit 320 can be used for according between the heat consumption of user in predetermined time interval and the scheduled time of acquisition
Every the changes of weight of interior user, the heat consumption and corresponding changes of weight of user in following predetermined time interval are predicted.
Judging unit 330 can be used for the changes of weight of the heat consumption and the user for obtaining according to the user for obtaining, with
And the heat consumption and the changes of weight of prediction acquisition that prediction is obtained, judge that can user complete to be expected fitness program.
Amending unit 340 can be used for according to judged result, be used in the predetermined time interval in the expected fitness program of amendment
The specified heat consumption at family and the specified changes of weight of user.
Data processing equipment 300 according to embodiments of the present invention may correspond to data processing side according to embodiments of the present invention
The above-mentioned functions of the unit in the executive agent in method, and data processing equipment 300 are respectively in order to realize Fig. 1 and Fig. 2
In each method corresponding flow, for sake of simplicity, will not be repeated here.
Therefore, above-mentioned data processing equipment can calculate user in predetermined time interval by the user movement data for obtaining
Heat consumption, the body weight of user becomes in heat consumption according to user in predetermined time interval and the predetermined time interval for obtaining
Change, predict the heat consumption and corresponding changes of weight of user in following predetermined time interval.So as to judge to be expected body-building meter
Can the fitness goals in drawing complete, and according to judged result to the finger of user in the predetermined time interval in expected fitness program
The specified changes of weight for determining heat consumption and user is modified.
Ensure that the fitness goals planned in expected fitness program can be smoothly completed, manually fitness program is entered without user
Row adjustment so that user need not repeatedly input the user profile such as original sign, loss of weight time, personal like and carry out updating strong manually
Body plan.Simultaneously as the adjustment of fitness program is all based on the user movement data for obtaining every time so that the body-building being corrected
A body-building stage record is intended to be in the overall body-building history that user completes fitness goals, is easy to user for body-building situation
It is tracked.
In some instances, above-mentioned predicting unit 320 can be also used for：By Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3
+…+wn×Kt-nPredict the heat consumption of user in following predetermined time interval.Following pre- timing obtained by prediction
Between interval in user heat consumption KtThe K is calculated with the changes of weight of user in predetermined time intervaltCorresponding body weight becomes
Change.
Fig. 4 is the schematic block diagram of the data processing equipment of another embodiment of the invention.As shown in figure 4, should
Data processing equipment 400 can include：Actual heat computing unit 410, predicting unit 420, judging unit 430, amending unit
440th, unit 460 is corrected in athletic performance recognition unit 450 and athletic performance.
Wherein, actual heat computing unit 410, predicting unit 420, judging unit 430 and amending unit 440, in Fig. 3
Actual heat computing unit 310, predicting unit 320, judging unit 330 it is similar with the function of amending unit 340.
Athletic performance recognition unit 450 can be used for the athletic performance of the user movement data identifying user based on collection.
Athletic performance corrects unit 460 and can be used for comparing athletic performance with deliberate action, when athletic performance and
When deliberate action is mismatched, instruction is corrected in generation action, and the athletic performance to user is corrected.
In some instances, the athletic performance is corrected unit and be can be also used for：By the amplitude and deliberate action of athletic performance
Amplitude compare, when athletic performance amplitude beyond deliberate action designated magnitude scope when, generation action correct instruct
Instruction, the athletic performance to user is corrected.
In some instances, above-mentioned user movement data can include the frequency of the athletic performance of user.
The athletic performance is corrected unit and be can be also used for：By the frequency of athletic performance and the specified frequency scope of deliberate action
Compare, when the specified frequency scope of the frequency not in deliberate action of athletic performance, generation includes that action correction prompting disappears
Instruction is corrected in the action of breath, and the athletic performance to user is corrected.
In some instances, above-mentioned user movement data can include the sign data of user.
The athletic performance is corrected unit and be can be also used for：Sign data according to user obtains the feature sign number of user
According to, wherein, feature sign packet includes the shoulder position data and hip position data of user；Feature based sign data to
Family plane is positioned.
According to some embodiments, above-mentioned data processing equipment also includes：
Punishment unit, for when the finger for passing through user movement data judging user unfinished user interior at preset time intervals
Determine heat consumption and during in idle condition, user is punished by pre-defined rule.For example, according to the exercise data of user
The heat consumption within user one day is calculated, heat consumption is specified when the heat consumption is less than, and by user movement data
When judging that user is currently at idle condition, user can be punished by pre-defined rule.For example, allow user by oneself
Ugly issuing as before delivers to network social intercourse platform etc..For example, verbal announcement or the project punished user by screen display, and lead to
Cross input unit to be acquired user data, exercised supervision with whether completing punishment to user.
In some examples of above-described embodiment, above-mentioned data processing equipment also includes：
Retransmission unit, for user movement data judging user is interior at preset time intervals to complete specifying for user when passing through
During heat consumption, user and sends prompting message to point out in the view data of different periods in obtaining user movement data
State user and view data is forwarded to network social intercourse platform.In some instances, when above-mentioned predetermined time interval can be various
Between unit, can be with the combination of multiple predetermined time intervals, such as whole body-building cycle of plan.The image of above-mentioned different periods
Data, for example, it may be photo or video before user for body-building, in body-building and after body-building.By above-mentioned punishment unit and/or turn
Bill unit, effectively can carry out progress to the process that user performs fitness program, improve the consciousness of user for body-building.
Fig. 5 is a kind of schematic block diagram of the computing device realization of the data processing equipment of embodiment of the invention.
As shown in figure 5, at least a portion with reference to above-mentioned data processing method and data processing equipment can be real by computing device 500
It is existing, including processor 503, memory 504 and bus 510.
In some instances, the computing device 500 can also include input equipment 501, input port 502, output port
505 and output equipment 506.Wherein, input port 502, processor 503, memory 504 and output port 505 pass through
It is connected with each other, input equipment 501 and output equipment 506 are connected by input port 502 and output port 505 with bus 510 respectively
Connect, and then be connected with the other assemblies of computing device 500.
It should be noted that output interface and input interface here can also be represented with I/O interfaces.Specifically, it is input into
Equipment 501 is received from outside input information, and will be input into information transmission to processor 503 by input port 502；Treatment
The computer executable instructions that device 503 is based on being stored in memory 504 are processed input information to generate output information, will
Output information is temporarily or permanently stored in memory 504, is then sent to output information by output port 505 defeated
Go out equipment 506；Output equipment 506 is arrived the outside of computing device 500 by output information output.
Compared to above-mentioned data processing equipment, some users prefer can be with the body-building machine people of displacement, Fig. 6
It is a kind of schematic block diagram of the body-building machine people of embodiment of the invention.As shown in fig. 6, body-building machine people 600, can
With including above-mentioned data processing equipment 300.
Therefore, above-mentioned body-building machine people can calculate user in predetermined time interval by the user movement data for obtaining
Heat consumption, the heat consumption according to user in predetermined time interval becomes with the body weight of user in the predetermined time interval for obtaining
Change, predict the heat consumption and corresponding changes of weight of user in following predetermined time interval.So as to judge to be expected body-building meter
Can the fitness goals in drawing complete, and according to judged result to the finger of user in the predetermined time interval in expected fitness program
The specified changes of weight for determining heat consumption and user is modified.
Ensure that the fitness goals planned in expected fitness program can be smoothly completed, manually fitness program is entered without user
Row adjustment so that user need not repeatedly input the user profile such as original sign, loss of weight time, personal like and carry out updating strong manually
Body plan.Simultaneously as the adjustment of fitness program is all based on the user movement data for obtaining every time so that the body-building being corrected
A body-building stage record is intended to be in the overall body-building history that user completes fitness goals, is easy to user for body-building situation
It is tracked.
Fig. 7 is the schematic block diagram of the body-building machine people of another embodiment of the invention.As shown in fig. 7, this is strong
Body robot 700 includes：Input unit 710, data processing equipment 720 and executing agency 730.
Input unit 710 is used to obtain user movement data, is connected with data processing equipment 720, the user that will be obtained
Exercise data is sent to data processing equipment 720.
The input unit 710 can be wearable device, camera, the equipment of sensor that can gather user movement data
Or for receiving the communication unit of the user movement data that the said equipment is sent.
Executing agency 730 is connected with data processing equipment 720, can be used for reception data processing equipment 720 and sends dynamic
Make to correct instruction, execution action corrects instruction and corrects user action.
Instruction, in some instances, body exercising machine are corrected in order to reduce the identification difficulty of user movement action and simplify action
The executing agency 730 of device people 700 can be also used for after above-mentioned data processing equipment positions user plane, keeping body-building
Plane is parallel to user plane where robot.
For example, the action that can position user's lower limb movement by the hip position of identifying user compares plane user the most
Plane, data processing equipment sends plane where action command keeps body-building machine people parallel to user plane to executing agency,
For example, making body-building machine people remain just to user plane, body-building machine people can be made to be moved in identification and correction user movement
When making, only carried out in two dimensions in action compares plane, so as to reduce identification difficulty and the simplification of user movement action
Instruction is corrected in action.
Fig. 8 is the schematic block diagram of the body-building machine people of another embodiment of the invention.As shown in figure 8, this is strong
Body robot can include mainboard 810 and the functional part on other peripheries.Sensor module 801, button 802 respectively with mainboard
810 I/O modules connection, microphone array 803 is connected with the audio/video encoding/decoding module of mainboard 810, and the touch of mainboard 810 shows
Show that controller can receive the touch-control of touch display screen 804 and be input into and provide display drive signals, motor servo controller can be with
Ji Xietui mechanical arms 811 are driven to form movement and the limbs language of robot according to programmed instruction motor and encoder 807
Speech, sound can promote loudspeaker 812 to obtain by audio coding decoding module output through power amplifier 808.
Mainboard 810 can also include processor and memory, and memory performs above-mentioned data processing method except storage
Outside computer executable instructions and its outside configuration file, it is also possible to performed including body-building machine people required when fitness works
Audio frequency and video and image file etc., some temporary files when can also be run including program.The communication module 806 of mainboard 810 is carried
For robot and the communication function of external network, for example, can be bluetooth, the WiFi module of short-range wireless communication.Mainboard 810 is also
Power management module can be included, battery charging and discharging and the administration of energy conservation of equipment are realized by the power-supply system 805 for connecting.
In some instances, when the above-mentioned data processing method of the computing device in the body-building machine people shown in Fig. 8, place
The user movement number that reason device receives sensor module 801 by I/O modules, microphone array 803 and touch display screen 804 are sent
According to the processor is based on the computer executable instructions stored in memory, between calculating the scheduled time according to user movement data
Every the heat consumption of interior user；Heat consumption according to user in predetermined time interval and user in the predetermined time interval of acquisition
Changes of weight, predict the heat consumption and corresponding changes of weight of user in following predetermined time interval；According to what is obtained
The heat consumption of user and the changes of weight of the user for obtaining, and the prediction heat consumption for obtaining and the body weight that prediction is obtained become
Change, judge that can user complete to be expected fitness program；According to judged result, the predetermined time interval in the expected fitness program of amendment
The specified heat consumption of interior user and the specified changes of weight of user.Then when needed, via loudspeaker 812, touch display
Screen 804 or driving Ji Xietui mechanical arms 811 carry out exercise guide according to the output of revised fitness program is corresponding to user
Body-building is instructed.
The above-mentioned unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be according to the actual needs selected to realize embodiment of the present invention scheme
Purpose.
Fig. 9 is that a kind of body-building machine people of embodiment of the invention instructs the exemplary process diagram of user for body-building.Such as Fig. 9 institutes
Show, body-building machine people instructs the process of user for body-building may include steps of：
S910, obtains sign information (including the height, body weight, body of user by way of scanning or user input
Type, fat content, resting heart rate etc.), and the diet and body-building preference (such as preference vegetarian diet, likes strength building etc.) of user are obtained,
And the fitness goals (loss of weight 2.5KG within such as month) of acquisition user, user is formulated according to above-mentioned user data and is expected to be good for
Body plan.
S920, the body-building demand according to user, body-building machine people can make daily recommending recipes, while tracking user
Diet, there is provided real-time dietary data analysis, for example, the calorie that user is calculated by scanning the diet of user takes in situation,
Can assist to be tracked by other smart machines such as mobile phone or wearable device of user etc..
S930, tracks user movement state, and user movement data are analyzed, can be by the other equipment of user
Such as mobile phone or wearable device assist to be tracked the expected fitness program of user.
S940, is predicted and pre- according to user for body-building data to the performance of the expected fitness program of future customer
Survey above-mentioned expected fitness program and adjust above-mentioned expected fitness program in time when cannot complete.
S950, accompanies user for body-building, user movement is acted by user movement data is identified and is corrected.
Whether S960, judge user in idle condition by above-mentioned user movement data.
S970, with reference to the expected fitness program of user, judges specifying for user unfinished user interior at preset time intervals
Heat consumption and during in idle condition, is reminded user or is punished.
The above, specific embodiment only of the invention, but protection scope of the present invention is not limited thereto, and it is any
Those familiar with the art the invention discloses technical scope in, various equivalent modifications can be readily occurred in or replaced
Change, these modifications or replacement should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection domain be defined.
Claims (18)
1. a kind of data processing method, it is characterised in that including：
The heat consumption of user in predetermined time interval is calculated according to user movement data；
The body weight of user in heat consumption according to user in the predetermined time interval and the predetermined time interval for obtaining
Change, predicts the heat consumption and corresponding changes of weight of user in following predetermined time interval；
According to the heat consumption and the changes of weight of the user for obtaining of the user for obtaining, and the heat consumption that obtains of prediction and pre-
The changes of weight for obtaining is surveyed, judges that can user complete to be expected fitness program；
According to judged result, the specified heat consumption and use of user in the predetermined time interval in the expected fitness program are corrected
The specified changes of weight at family.
2. data processing method according to claim 1, it is characterised in that described according to being used in the predetermined time interval
The changes of weight of user in the heat consumption at family and the predetermined time interval for obtaining, between predicting following scheduled time
Every the heat consumption and corresponding changes of weight of interior user, including：
The body weight of user in heat consumption according to user in the predetermined time interval and the predetermined time interval for obtaining
Change, is become by the heat consumption and corresponding body weight of user in following predetermined time interval of least square model
Change.
3. data processing method according to claim 1 and 2, it is characterised in that described according to the predetermined time interval
The changes of weight of user, predicts following described pre- timing in the heat consumption of interior user and the predetermined time interval for obtaining
Between interval in user heat consumption and corresponding changes of weight, including：
By Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3+…+wn×Kt-nPredict user in following predetermined time interval
Heat consumption；
By the heat consumption K of user in following predetermined time interval that prediction is obtainedtIn the predetermined time interval
The changes of weight of user calculates the KtCorresponding changes of weight；
Wherein, KtIt is the heat consumption of user in t-th predetermined time interval of prediction, between n is user's actual motion scheduled time
Every number, Kt-nIt is the heat consumption of user in the t-n predetermined time interval, wnIt is user in the t-n predetermined time interval
The weight of heat consumption, w1+w2+…+wn=1.
4. data processing method according to claim 1, it is characterised in that also include：
The athletic performance of the user movement data identifying user based on collection；
The athletic performance and deliberate action are compared, it is raw when the athletic performance is mismatched with the deliberate action
Instruction is corrected into action, the athletic performance to user is corrected.
5. data processing method according to claim 4, it is characterised in that the user movement data include the fortune of user
The amplitude of action；
It is described that the athletic performance and deliberate action are compared, when the athletic performance is mismatched with the deliberate action
When, instruction is corrected in generation action, and the athletic performance to user is corrected, including：
The amplitude of the athletic performance is compared with the amplitude of deliberate action, when the amplitude of the athletic performance is beyond default
During the designated magnitude scope of action, teaching instruction is corrected in generation action, and the athletic performance to user is corrected.
6. data processing method according to claim 4, it is characterised in that the user movement data include the fortune of user
The frequency of action；
It is described that the athletic performance and deliberate action are compared, when the athletic performance is mismatched with the deliberate action
When, instruction is corrected in generation action, and the athletic performance to user is corrected, including：
The frequency of the athletic performance is compared with the specified frequency scope of deliberate action, when the frequency of the athletic performance
Not in the specified frequency scope of deliberate action, generation includes that the action correction instruction of prompting message is corrected in action, to user's
Athletic performance is corrected.
7. data processing method according to claim 5, it is characterised in that the user movement data include the body of user
Levy data；
When the amplitude when the athletic performance is beyond the designated magnitude scope of deliberate action, generation action is corrected guidance and is referred to
Order, before being corrected to the athletic performance of user, also includes：
Sign data according to user obtains the feature sign data of user, wherein, the feature sign packet includes user's
Shoulder position data and hip position data；
User plane is positioned based on the feature sign data.
8. data processing method according to claim 1, it is characterised in that also include：
Disappear when by the specified heat of the unfinished user interior at preset time intervals of user described in the user movement data judging
Consumption and during in idle condition, is punished user by pre-defined rule；
Or,
When by the specified heat consumption for completing user interior at preset time intervals of user described in the user movement data judging
When, view data of the user described in the user movement data in different periods is obtained, and send prompting message to point out
User is stated by described image data forwarding to network social intercourse platform.
9. a kind of data processing equipment, it is characterised in that including：
Computing unit, the heat consumption for calculating user in predetermined time interval according to user movement data；
Predicting unit, for the heat consumption according to user in the predetermined time interval and the predetermined time interval for obtaining
The changes of weight of interior user, predicts the heat consumption and corresponding changes of weight of user in following predetermined time interval；
Judging unit, obtains for the heat consumption according to the user for obtaining and the changes of weight of the user for obtaining, and prediction
Heat consumption and prediction obtain changes of weight, judge that can user complete to be expected fitness program；
Amending unit, for according to judged result, correcting the finger of user in the predetermined time interval in the expected fitness program
Determine the specified changes of weight of heat consumption and user.
10. data processing equipment according to claim 9, it is characterised in that the predicting unit is additionally operable to：
The body weight of user in heat consumption according to user in the predetermined time interval and the predetermined time interval for obtaining
Change, is become by the heat consumption and corresponding body weight of user in following predetermined time interval of least square model
Change.
11. data processing equipment according to claim 9 or 10, it is characterised in that predicting unit is additionally operable to：
By Kt=w1×Kt-1+w2×Kt-2+w3×Kt-3+…+wn×Kt-nPredict user in following predetermined time interval
Heat consumption；
By the heat consumption K of user in following predetermined time interval that prediction is obtainedtIn the predetermined time interval
The changes of weight of user calculates the KtCorresponding changes of weight.
12. data processing equipments according to claim 9, it is characterised in that also include：
Athletic performance recognition unit, for the athletic performance of the user movement data identifying user based on collection；
Unit is corrected in athletic performance, for the athletic performance and deliberate action to be compared, when the athletic performance and institute
When stating deliberate action mismatch, instruction is corrected in generation action, and the athletic performance to user is corrected.
13. data processing equipments according to claim 12, it is characterised in that the user movement data include user's
The amplitude of athletic performance；
The athletic performance is corrected unit and is additionally operable to：
The amplitude of the athletic performance is compared with the amplitude of deliberate action, when the amplitude of the athletic performance is beyond default
During the designated magnitude scope of action, teaching instruction is corrected in generation action, and the athletic performance to user is corrected.
14. data processing equipments according to claim 12, it is characterised in that the user movement data include user's
The frequency of athletic performance；
The athletic performance is corrected unit and is additionally operable to：
The frequency of the athletic performance is compared with the specified frequency scope of deliberate action, when the frequency of the athletic performance
Not in the specified frequency scope of deliberate action, generation includes that the action correction instruction of prompting message is corrected in action, to user's
Athletic performance is corrected.
15. data processing equipments according to claim 13, it is characterised in that the user movement data include user's
Sign data；
The athletic performance is corrected unit and is additionally operable to：
Sign data according to user obtains the feature sign data of user, wherein, the feature sign packet includes user's
Shoulder position data and hip position data；
User plane is positioned based on the feature sign data.
16. data processing equipments according to claim 13, it is characterised in that also include：
Punishment unit, for when by the unfinished user interior at preset time intervals of user described in the user movement data judging
Specified heat consumption and during in idle condition, user is punished by pre-defined rule；
Or,
Retransmission unit, for user described in the user movement data judging is interior at preset time intervals to complete user's when passing through
When specifying heat consumption, view data of the user described in the user movement data in different periods is obtained, and send prompting
Message is pointing out the user by described image data forwarding to network social intercourse platform.
A kind of 17. body-building machine people, it is characterised in that including：
Data processing equipment any one of claim 9 to 16.
18. a kind of body-building machine people according to claim 17, it is characterised in that also include：
Input unit, for obtaining user movement data, is connected with the data processing equipment, the user movement number that will be obtained
According to being sent to the data processing equipment；
Executing agency, is connected with the data processing equipment, is corrected for receiving the action that the data processing equipment sends
Instruction, performs the action correction instruction and user action is corrected.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710225621.3A CN106897802A (en) | 2017-04-07 | 2017-04-07 | Data processing method, device and body-building machine people |
| JP2019554732A JP7076469B2 (en) | 2017-04-07 | 2018-02-11 | Data methods and equipment, as well as fitness robots |
| PCT/CN2018/076231 WO2018184424A1 (en) | 2017-04-07 | 2018-02-11 | Data processing method, device and fitness training robot |
| US16/594,888 US20200030662A1 (en) | 2017-04-07 | 2019-10-07 | Data Processing Method and Apparatus, and Fitness Robot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710225621.3A CN106897802A (en) | 2017-04-07 | 2017-04-07 | Data processing method, device and body-building machine people |
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| Publication Number | Publication Date |
|---|---|
| CN106897802A true CN106897802A (en) | 2017-06-27 |
Family
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710225621.3A Pending CN106897802A (en) | 2017-04-07 | 2017-04-07 | Data processing method, device and body-building machine people |
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| Country | Link |
|---|---|
| US (1) | US20200030662A1 (en) |
| JP (1) | JP7076469B2 (en) |
| CN (1) | CN106897802A (en) |
| WO (1) | WO2018184424A1 (en) |
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| WO2018184424A1 (en) * | 2017-04-07 | 2018-10-11 | 华为技术有限公司 | Data processing method, device and fitness training robot |
| CN107116564A (en) * | 2017-07-05 | 2017-09-01 | 深圳市亿联智能有限公司 | A kind of intelligent body-building robot interacted |
| CN110168656A (en) * | 2017-10-23 | 2019-08-23 | 我利生命工学株式会社 | Traditional Chinese medicine capable of reducing weight management system and its method |
| CN107958311A (en) * | 2017-12-11 | 2018-04-24 | 新疆普昂信息技术有限公司 | A kind of minute surface display methods and minute surface display device |
| CN108211268A (en) * | 2018-01-25 | 2018-06-29 | 武汉中体智美科技有限公司 | Exercise load monitoring and sports fatigue method for early warning and system based on training data |
| CN108211268B (en) * | 2018-01-25 | 2019-12-10 | 武汉中体智美科技有限公司 | exercise load monitoring and exercise fatigue early warning method and system based on exercise training data |
| CN108648803A (en) * | 2018-05-15 | 2018-10-12 | 广东工业大学 | A kind of determination method and system of lose weight scheme |
| CN111144185A (en) * | 2018-11-06 | 2020-05-12 | 珠海格力电器股份有限公司 | Information prompting method and device, storage medium and electronic device |
| CN110090422A (en) * | 2019-04-16 | 2019-08-06 | 湖南文理学院 | Body-building acts correcting system and body-building tournament system |
| CN110085320A (en) * | 2019-04-23 | 2019-08-02 | 延安大学 | A kind of individual's changes of weight forecasting system and method |
| CN110289077A (en) * | 2019-06-25 | 2019-09-27 | 秒针信息技术有限公司 | A kind of recipe push processing method and device |
| CN111261257A (en) * | 2020-01-19 | 2020-06-09 | 湖南盈赛缇思人工智能公共数据平台有限公司 | Diabetes recommended medication method, storage medium and system based on big data |
| CN112472052A (en) * | 2020-12-21 | 2021-03-12 | 安徽华米智能科技有限公司 | Weight prediction method, device and equipment based on personal motor function index (PAI) |
| CN113254774A (en) * | 2021-06-03 | 2021-08-13 | 深圳市小莱智能科技有限公司 | Method and device for determining intelligent fat burning clothes weight losing plan and readable medium |
| CN113657266A (en) * | 2021-08-16 | 2021-11-16 | 江苏动泰运动用品有限公司 | Fitness training management method and system based on intelligent bracelet and human body three-dimensional reconstruction |
| CN116665839A (en) * | 2023-06-02 | 2023-08-29 | 深圳市腾进达信息技术有限公司 | Big data regression analysis method and system based on intelligent wearable equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018184424A1 (en) | 2018-10-11 |
| JP7076469B2 (en) | 2022-05-27 |
| US20200030662A1 (en) | 2020-01-30 |
| JP2020516353A (en) | 2020-06-11 |
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