CN110391008B - Body-building processing method based on smart home operating system and smart home equipment - Google Patents

Body-building processing method based on smart home operating system and smart home equipment Download PDF

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CN110391008B
CN110391008B CN201910611573.0A CN201910611573A CN110391008B CN 110391008 B CN110391008 B CN 110391008B CN 201910611573 A CN201910611573 A CN 201910611573A CN 110391008 B CN110391008 B CN 110391008B
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exercise
user
amount
motion
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CN110391008A (en
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梁海山
赵峰
徐志方
刘超
尹德帅
崔九梅
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Qingdao Haier Technology Co Ltd
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT 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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Abstract

The invention discloses a distributed data calculation method and intelligent household equipment. Wherein, the method comprises the following steps: acquiring the movable duration of a user based on interaction with an intelligent gateway in an intelligent home; acquiring the amount of exercise of a user based on interaction with the intelligent wearable device, and generating an amount of exercise difference according to the amount of exercise and a preset target amount of exercise; according to the difference value of the length of exercise and the amount of exercise, determining a motion strategy that a user can finish the preset target amount of exercise based on intelligent fitness equipment in an intelligent home, and reminding the user to finish the preset target amount of exercise by performing motion according to the motion strategy. The invention solves the technical problem that the fitness scheme in the related technology is relatively passive to implement and can not effectively stimulate the fitness enthusiasm of the user.

Description

Body-building processing method based on smart home operating system and smart home equipment
Technical Field
The invention relates to the field of smart homes, in particular to a fitness processing method based on a smart home operating system and smart home equipment.
Background
The smart home is a home life service system which comprehensively utilizes the Internet of things, big data analysis and cloud platform technology, intelligently controls home equipment through sensing of a home environment and can realize information consumption. Along with the continuous improvement of living standard, the user can realize the control to intelligent kitchen electrical equipment, intelligent body-building equipment, intelligent audio-visual amusement equipment through wisdom family operating system.
In the related technology, the intelligent home operating system can perform fitness management according to the physical condition of a user, creates a proper fitness scheme for the user according to the height, the weight and the body fat ratio of the user, and automatically sets parameters of the intelligent fitness equipment, such as exercise intensity, exercise time, exercise modes and the like according to the fitness scheme when the user performs fitness.
Although the intelligent home operating system can recommend the fitness scheme to the user according to the daily exercise amount target and the physical condition set by the user and can send corresponding parameters to the intelligent fitness equipment, the fitness scheme is required to play a role, and the user can exercise according to the parameters of the fitness scheme only by actively using the fitness equipment. Therefore, the exercise scheme is relatively passive in the related art, and the exercise enthusiasm of the user cannot be effectively stimulated.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a fitness processing method based on an intelligent home operating system and intelligent home equipment, and at least solves the technical problem that fitness schemes in related technologies are relatively passive in implementation and can not effectively stimulate fitness enthusiasm of users.
According to an aspect of an embodiment of the present invention, there is provided a method for performing a fitness process based on an intelligent home operating system, including: acquiring the movable time length of a user based on interaction with an intelligent gateway in an intelligent home; acquiring the amount of exercise of the user based on interaction with the intelligent wearable device, and generating an exercise amount difference value according to the amount of exercise and a preset target exercise amount; and determining a motion strategy that the user can finish the preset target motion quantity based on the intelligent fitness equipment in the intelligent home according to the movable time length and the motion quantity difference value, and reminding the user to finish the preset target motion quantity by moving according to the motion strategy.
Optionally, the obtaining the user's movable duration based on interaction with an intelligent gateway in an intelligent home includes: determining a movable starting time point of the user through a time point when the user logs in the intelligent gateway to connect the Internet of things; and determining the movable time length of the user according to the starting time point and a preset movable time period.
Optionally, determining the user's movable time period according to the starting time point and the preset movable time period comprises: determining the expected stay time of the user according to the starting time point and the movable time period; and determining the movable time length of the user according to the estimated stay time length and a preset correction factor set on the intelligent fitness equipment.
Optionally, the determining, according to the length of exercise and the motion amount difference value, a motion strategy that the user can achieve the predetermined target motion amount based on the intelligent fitness equipment in the intelligent home comprises: determining the predicted exercise intensity according to the exercise duration and the exercise amount difference; and determining a motion strategy which can be completed by the user according to the predicted motion intensity.
Optionally, determining, according to the predicted exercise intensity, an exercise strategy by which the user can complete the predetermined target amount of exercise comprises: acquiring historical exercise intensity of the user through interaction with the intelligent fitness equipment; judging whether the historical exercise intensity of the user is greater than or equal to the predicted exercise intensity; when the judgment result shows that the historical exercise intensity is greater than or equal to the expected exercise intensity, determining that the exercise strategy that the user can complete the preset target exercise amount is as follows: completing the motion amount difference with the historical motion intensity, thereby completing the predetermined target motion amount.
Optionally, after determining whether the historical exercise intensity of the user is greater than or equal to the expected exercise intensity, the method further includes: determining the exercise intensity increasing rate according to the historical exercise intensity and the predicted exercise intensity under the condition that the historical exercise intensity is smaller than the predicted exercise intensity; acquiring a preset increment rate value set on the intelligent fitness equipment through interaction with the intelligent fitness equipment; judging whether the exercise intensity increment rate is smaller than a preset increment rate value or not; and under the condition that the exercise intensity increment rate is smaller than the preset increment rate value according to the judgment result, determining that the exercise strategy that the user can finish the preset target exercise amount is as follows: completing the motion amount difference with the predicted motion intensity, thereby completing the predetermined target motion amount.
Optionally, after determining whether the exercise intensity increase rate is smaller than a preset increase rate value, the method further includes: and when the judgment result shows that the exercise intensity increment rate is greater than or equal to the preset increment rate value, determining that the exercise strategy that the user can complete the preset target exercise amount is as follows: the predicted exercise intensity, which is labeled to increase the exercise intensity rate higher than the historical exercise intensity, completes the exercise amount difference, thereby completing the predetermined target exercise amount.
Optionally, after determining, based on the intelligent fitness equipment in the intelligent home, that the user can complete the exercise strategy of the predetermined target exercise amount according to the length of exercise and the exercise amount difference value, the method further includes: receiving a selection instruction, wherein the selection instruction is used for indicating to select the motion strategy; and the intelligent fitness equipment finishes the preset target motion quantity according to the motion parameter setting indicated in the motion strategy.
Optionally, the obtaining of the amount of exercise of the user based on the interaction with the smart wearable device, and generating an exercise amount difference value according to the amount of exercise and the predetermined target exercise amount includes: acquiring the amount of exercise of the user based on interaction with the intelligent wearable device; acquiring a preset target motion quantity of the user based on interaction with intelligent fitness equipment in an intelligent home, wherein the preset target motion quantity is determined by the intelligent fitness equipment through interaction with intelligent kitchen ware in the intelligent home, and the intelligent kitchen ware is used for determining to provide heat for the user; determining a motion amount difference value for the user to complete the predetermined target motion amount based on the user's moved amount and the user's predetermined target motion amount.
According to another aspect of the present invention, there is provided a fitness processing device based on an intelligent home operating system, comprising: the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring the movable time of a user based on the interaction with an intelligent gateway in an intelligent home; the generation module is used for acquiring the amount of exercise of the user based on interaction with the intelligent wearable device and generating an exercise amount difference value according to the amount of exercise and a preset target exercise amount; and the determining module is used for determining a motion strategy that the user can finish the preset target motion amount based on the intelligent fitness equipment in the intelligent home according to the movable time length and the motion amount difference value, and reminding the user of finishing the preset target motion amount by performing motion according to the motion strategy.
According to another aspect of the invention, the intelligent home equipment comprises the fitness processing device based on the intelligent home operating system.
According to still another aspect of the present invention, there is provided a storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus on which the storage medium is located is controlled to execute any one of the fitness processing methods based on the smart home operating system.
According to still another aspect of the present invention, there is provided a computer apparatus comprising: a memory and a processor, the memory storing a computer program; the processor is configured to execute the computer program stored in the memory, and when the computer program runs, the processor is enabled to execute any one of the fitness processing methods based on the smart home operating system.
In the embodiment of the invention, according to the exercise duration and the exercise amount difference, an exercise strategy that the user can complete the preset target exercise amount is determined based on the intelligent fitness equipment in the intelligent home, the user is reminded to complete the preset target exercise amount by performing exercise according to the exercise strategy, and the purpose of stimulating the user to complete the preset target exercise amount is achieved by reminding the user to complete the preset target exercise amount by performing exercise according to the exercise strategy, so that the technical effect of stimulating the user to perform exercise is realized, and the technical problem that the exercise enthusiasm of the user cannot be effectively stimulated due to the fact that exercise schemes in the related art are relatively passive in implementation is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flowchart of a method for fitness processing based on a smart home operating system according to an embodiment of the present invention;
FIG. 2 is a diagram of an architecture of an application system of a fitness process method based on an intelligent home operating system according to a preferred embodiment of the present invention;
FIG. 3 is a flowchart of a method for performing fitness processing based on a smart home operating system according to a preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of a first fitness reminder in a fitness process method based on a smart home operating system according to a preferred embodiment of the present invention;
FIG. 5 is a schematic diagram of a second fitness reminder in the fitness process method based on the smart home operating system according to the preferred embodiment of the invention;
FIG. 6 is a schematic diagram of a third fitness reminder in the fitness process method based on the smart home operating system according to the preferred embodiment of the invention;
FIG. 7 is a block diagram of a smart home operating system based exercise processing device according to an embodiment of the present invention;
fig. 8 is a block diagram of a smart home device according to an embodiment of the present invention.
Detailed Description
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 terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of a smart home operating system based fitness processing method, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a fitness processing method based on an intelligent home operating system according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, acquiring the movable time length of a user based on the interaction with an intelligent gateway in an intelligent home;
step S104, acquiring the amount of exercise of the user based on the interaction with the intelligent wearable device, and generating an exercise amount difference value according to the amount of exercise and a preset target exercise amount;
and S106, determining a motion strategy that the user can finish the preset target motion amount based on intelligent fitness equipment in the intelligent home according to the motion duration and the motion amount difference, and reminding the user to finish the preset target motion amount by performing motion according to the motion strategy.
Through the steps, according to the difference value of the length of exercise and the amount of exercise, the exercise strategy that the user can complete the preset target amount of exercise is determined based on the intelligent fitness equipment in the intelligent home, the user is reminded to do exercise according to the exercise strategy to complete the preset target amount of exercise, and the purpose that the user is stimulated to complete the preset target amount of exercise is achieved by reminding the user to do exercise according to the exercise strategy, so that the technical effect of stimulating the user to do exercise is achieved, and the technical problems that exercise schemes in the related technology are implemented relatively passively and exercise enthusiasm of the user cannot be effectively stimulated are solved. As an alternative, the above-mentioned movable time period of the user may refer to a time period during which the user can actually move. The above-mentioned movable time period of the user may refer to a movable time period of the user in a certain area environment, for example, the movable time period may refer to a movable time period in a home, a movable time period in an entertainment room of a work unit, a movable time period in other relatively private meetings, and the like. That is, the above-mentioned local environment may be an indoor environment with a clear smart home as a background, or may be an indoor environment equivalent to a background of a smart home.
As an alternative example, the user may generally have a schedule for his or her own time, such as a rest time, a sports exercise time, and other times of the family. Therefore, when the movable duration of the user is obtained, the movable duration can be determined according to the exercise duration planned by the user, for example, based on the interaction with the intelligent gateway in the intelligent home, the following manner can be adopted for obtaining the movable duration of the user: determining a movable starting time point of a user by logging in a time point of the intelligent gateway connected with the Internet of things by the user; and determining the movable time length of the user according to the starting time point and the preset movable time period. Taking a common home scenario as an example, the starting time point when the user is movable is obtained, for example, the time point when the user arrives at home. Specifically, the detection of the time when the user arrives at home may be performed according to other intelligent devices, for example, the detection may be performed when the user connects to the home network, that is, when the user connects to the home network through the terminal device, it indicates that the user has arrived at home, and therefore, the time when the user connects may be regarded as the time when the user arrives at home. Specifically, the time point when the user arrives at home can be obtained based on the interaction with the intelligent gateway in the intelligent home, so that the movable time length of the user can be obtained. As described above, the time point when the user is connected to the internet of things through the intelligent gateway by using the terminal device can be represented as the time point when the user arrives at home, and the time point determined in this way is used as the starting time point when the user can move, so as to determine the moving time length of the user. It should be noted that, the determination of the time when the user arrives at home by using the intelligent gateway for network connection is only an example, and other manners may also be used, for example, if an intelligent security door is installed in a home, the time point when the user arrives at home may also be determined by detecting the time when the user enters the intelligent security door. For example, if a monitoring camera is installed in a home, if the user is monitored by the monitoring camera, the time point when the user arrives at the home may also be determined.
As an alternative embodiment, the preset movable time period may be a specific time period, for example, a time period specific to the calculation in hours, minutes, seconds, and the like of a clock, or the like; or a more vague period of time, such as a month, a week, or a day, etc. The preset movable time period has a time starting point and a time ending point, and the specific setting can be flexibly set according to the preference of a user.
As an alternative embodiment, the user's movable duration may be determined according to the starting time point and the preset movable time period in various ways, for example, in the case that the starting time point when the user is movable is within the movable time period, the time period from the starting time point to the time end of the movable time period may be directly determined as the user's movable duration. For the above-described general home scenario, if it is determined that the starting time point at which the user is movable is the user's arrival time and the user's arrival time is within the user's preset movable time period, it may be directly determined that the time period from the user's arrival time at home to the time end of the movable time period is the user's movable time period.
As an alternative embodiment, in practical situations, for the above-mentioned ordinary family scene, the user will not start to move directly when arriving at home, and may need a certain preparation time, for example, changing equipment, etc., or may adjust the movement mood, or may warm up for formal movement, so that the real movement of the user will not start directly when arriving at home. Therefore, to accurately determine the real movable time length of the user, the following method can be adopted when determining the movable time length of the user according to the starting time point and the preset movable time period: determining the expected stay time of the user according to the starting time point and the movable time period; and determining the movable time length of the user according to the estimated stay time length and the preset correction factor set on the intelligent fitness equipment. Namely, the time for the user to prepare for movement is corrected by the correction factor, so as to determine the accurate movable time length. It should be noted that the correction factor may be different for different users, for example, different users of different ages, different users of different sexes, different users of different physical qualities, and so on.
As an alternative embodiment, the motion amount difference value by which the user completes the predetermined target motion amount may mean that the user has completed a part of the motion amount but has not completed the predetermined target motion amount within a predetermined time period, which is a motion amount difference value from completion of the predetermined target motion amount. For example, the predetermined period is a day during which the user has consumed a certain calorie through normal life at ordinary times, i.e., completed part of the amount of motion, but the amount of motion has not reached the predetermined target amount of motion, and thus, the difference between the completed part of the amount of motion and the predetermined target amount of motion is the amount of motion difference. It should be noted that, the above-mentioned completed part of the amount of exercise may be counted by some smart devices, for example, a smart phone, a smart watch, a smart band, etc.
As an alternative embodiment, acquiring the amount of exercise of the user based on the interaction with the intelligent wearable device, and generating an exercise amount difference value according to the amount of exercise and the predetermined target exercise amount includes: acquiring the amount of exercise of a user based on interaction with the intelligent wearable device; acquiring a preset target motion quantity of a user based on interaction with intelligent fitness equipment in an intelligent home, wherein the preset target motion quantity is determined by the intelligent fitness equipment through interaction with intelligent kitchen ware in the intelligent home, and the intelligent kitchen ware is used for determining to provide heat for the user; based on the amount of the user's motion, and the predetermined target amount of motion of the user, a difference in the amount of motion of the user to accomplish the predetermined target amount of motion is determined. Wherein, based on the interaction with intelligent wearing equipment, when acquireing user's amount of exercise, this intelligent wearing equipment can be the intelligent wrist-watch that the user hand-carried, intelligent bracelet, intelligent earphone etc.. The intelligent wearable device can record the heat consumed by the user during the motion at any time, so that the motion amount of the user is determined. Based on the interaction with the intelligent fitness equipment in the intelligent home, when the preset target exercise amount of the user is obtained, the preset target exercise amount set by the user can be directly obtained from the intelligent fitness equipment in the intelligent home, and the preset target exercise amount can also be determined according to the interaction of the intelligent fitness equipment and the intelligent kitchen ware in the intelligent home. The heat determined by the intelligent kitchen ware can be the heat of food cooked by the intelligent kitchen ware, the heat of food stored in the intelligent refrigerator and the like. Thereafter, a motion amount difference for the user to complete the predetermined target motion amount is determined based on the user's already-moved amount and the user's predetermined target motion amount.
As an alternative embodiment, when determining that the user can complete the exercise strategy of the predetermined target exercise amount based on the intelligent fitness equipment in the intelligent home according to the exercise duration and the exercise amount difference, various manners may also be adopted, for example, the predicted exercise intensity may be determined according to the exercise duration and the exercise amount difference; thereafter, a motion strategy is determined that the user is able to achieve the predetermined target amount of motion based on the predicted intensity of motion. It should be noted that the exercise intensity may be expressed in various ways, for example, the exercise intensity may be an amount of exercise per unit time, or an exercise speed. In addition, the determination of the motion strategy according to the expected motion strength is only an example in this application, and the motion strategy may also be determined directly or indirectly according to other parameters representing the motion. For example, other parameters indicative of exercise may be various, such as exercise speed, exercise acceleration, exercise step frequency, exercise heart rate, exercise energy consumption, etc. The exercise intensity will be described below as an example.
As an alternative embodiment, when determining the motion strategy that the user can complete the predetermined target amount of motion according to the predicted motion intensity, the motion strategy may be determined according to the comparison between the predicted motion intensity and the historical motion intensity calculated as described above, for example, the following method may be used: acquiring historical exercise intensity of a user through interaction with intelligent fitness equipment; judging whether the historical exercise intensity of the user is greater than or equal to the predicted exercise intensity; in the case where the determination result is that the historical exercise intensity is greater than or equal to the expected exercise intensity, determining an exercise strategy by which the user can complete the predetermined target exercise amount is: the motion amount difference is completed with the historical motion intensity, thereby completing the predetermined target motion amount. In this embodiment, when the historical exercise intensity of the user is greater than or equal to the calculated predicted exercise intensity, the representation of the amount of exercise that needs to be completed is what the user can bear or can bear with relative ease, and therefore, when it is determined that the predetermined target amount of exercise is to be completed, the exercise strategy may be directly completed with the historical exercise intensity. When the user sees the reminding information representing the exercise strategy, the user feels pleasurable and can accept exercise with pleasure, so that the exercise enthusiasm of the user is effectively stimulated, and the aim of stimulating the user to exercise is fulfilled.
As an alternative embodiment, after determining whether the historical exercise intensity of the user is greater than or equal to the predicted exercise intensity, when the historical exercise intensity is less than the predicted exercise intensity as a result of the determination, an exercise strategy for stimulating the user to exercise may also be determined. For example, when the determination result is that the historical exercise intensity is smaller than the predicted exercise intensity, determining the exercise intensity increase rate according to the historical exercise intensity and the predicted exercise intensity; acquiring a preset increment rate value set on the intelligent fitness equipment through interaction with the intelligent fitness equipment; judging whether the increasing rate of the exercise intensity is smaller than a preset increasing rate value or not; and under the condition that the increasing rate of the exercise intensity is smaller than the preset increasing rate value according to the judgment result, determining the exercise strategy that the user can finish the preset target exercise amount as follows: the motion amount difference is completed with the predicted motion intensity, thereby completing the predetermined target motion amount. Although the historical exercise intensity is less than the expected exercise intensity, i.e., the exercise intensity may need to be increased if the user is to complete the predetermined target amount of exercise, the increased exercise intensity is less than, for example, a preset increment rate value preset by the user, and the increase of the exercise intensity is acceptable to the user, therefore, the exercise strategy for determining that the user completes the predetermined target amount of exercise may be: the motion amount difference is completed with the predicted motion intensity, thereby completing the predetermined target motion amount. Through the processing, the aim of completing the preset target exercise amount by the expected exercise intensity which can be easily accepted by the user under the condition that the increased exercise intensity is small for completing the preset target exercise amount is achieved, the exercise enthusiasm of the user can be effectively stimulated, and the effect of stimulating the user to exercise is achieved.
As an optional embodiment, for how to determine the exercise strategy under the condition that the exercise intensity increment rate is greater than or equal to the preset increment rate value, the exercise enthusiasm of the user can be stimulated to a certain extent, and the following optional embodiment provides a mode. After determining whether the exercise intensity increment rate is smaller than the preset increment rate value, in the case that the determination result is that the exercise intensity increment rate is greater than or equal to the preset increment rate value, the exercise strategy for determining that the user can complete the predetermined target exercise amount may be: the exercise amount difference is completed with the predicted exercise intensity higher than the exercise intensity increase rate of the historical exercise intensity, thereby completing the predetermined target exercise amount. The method stimulates the user to challenge the enthusiasm of the user by marking the exercise intensity increasing rate, achieves the aim of stimulating the user to finish the preset target exercise amount, and achieves the technical effect of stimulating the user to exercise.
As an alternative embodiment, after determining, based on the intelligent fitness equipment in the intelligent home, the exercise strategy that the user can complete the predetermined target amount of exercise according to the length of exercise and the amount of exercise difference, the method may further include: receiving a selection instruction, wherein the selection instruction is used for indicating the selection of the motion strategy; and the intelligent fitness equipment is used for setting and finishing the preset target exercise amount according to the exercise parameters indicated in the exercise strategy. Through the setting of the intelligent fitness equipment, a user can directly perform exercise on the set intelligent fitness equipment to finish the preset target exercise amount. The intelligent fitness equipment can be various, such as a typical treadmill, other stretching equipment and the like.
In order to effectively solve the problems of the related art, the embodiment of the invention provides a fitness scheme based on an intelligent home operating system, the exercise intensity of a user capable of finishing the exercise target on the day can be obtained through the difference value of the current effective exercise time and the exercise amount when the user arrives at home, the user is reminded at the first time, the fitness enthusiasm of the user for finishing the exercise amount of the target is stimulated, and the fitness is automatically set according to the intensity capable of finishing the target when the user selects fitness, so that the user is guaranteed to finish a plan, and the active management of the fitness activities of the user is realized.
In the above embodiment, the fitness scheme based on the smart home operating system may include: first, a exercising time can be calculated from the time the user is at home, then a planned exercise amount can be calculated from the target exercise amount and the current exercise amount, then an estimated exercise intensity can be calculated from the exercising time and the planned exercise amount, and fitness management can be implemented according to the comparison between the estimated exercise intensity and the historical exercise intensity. Through the body-building scheme, the user can be helped to complete a daily exercise plan, the exercise enthusiasm of the user is stimulated, and a better body-building effect is achieved.
Based on the preferred embodiments of the above embodiments, a preferred implementation is provided.
Fig. 2 is a block diagram of an application system of the fitness processing method based on the smart home operating system according to the preferred embodiment of the present invention, as shown in fig. 2, the system includes: the intelligent home equipment, intelligent body-building equipment, intelligent terminal, intelligent gateway and server, wherein, intelligent home equipment, intelligent body-building equipment, intelligent terminal pass through intelligent gateway and server communication. Fig. 3 is a flowchart of a fitness processing method based on an intelligent home operating system according to a preferred embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
s1, in a preset time period, the server detects whether the user is at home or not, and calculates the movable time duration Tu according to the expected stay time length of the user at home on the basis of detecting that the user is at home;
for example, the predetermined time period may be 20:00 to 22:00, i.e., the starting time is 20:00 and the ending time is 22: 00. The time period information may be preset by the user, and it may be understood that the user wishes to perform the exercise only in the time period.
The server starts detecting whether the user is at home at 20: 00. The specific detection method may be to detect whether the mobile terminal (mobile phone) of the user is connected to the wireless local area network of the home by using the smart gateway to determine whether the user is at home. If the user is at home, the detection is stopped.
When the server detects that the user is not at home, the detection is continued for a predetermined period of time until the user is detected to go home, or until the end of the detection is 22:00, such as every 5 minutes since 20:00, until the end of 22: 00.
If the server detects that the time of the user at home is 20:30, the difference between the ending time (22:00) and the detection time is the expected stay time length Δ T of the user at home, Δ T is 90 minutes, and the movable time duration Tu is Δ T × γ.
Where γ is a correction factor, and is related to the sex of the user, usually, the exercise preparation time is longer for women than for men, and if the user is women, γ may be 0.7, and if the user is men, γ may be 0.9.
If the user is a woman, the exercise duration Tu is 90 × 0.7 to 63 minutes.
In particular, if Δ T is less than a predetermined threshold, such as 30 minutes, the flow of the present scheme may be ended.
S2, if the user is at home, the server obtains the user 'S target motion quantity (i.e. the above-mentioned predetermined target motion quantity) and the current motion quantity (i.e. the above-mentioned already completed partial motion quantity), when the user' S current motion quantity is less than the target motion quantity, the server calculates the difference Δ K between the target motion quantity and the current motion quantity (i.e. the above-mentioned difference of motion quantity);
If the server detects that the user is at home, the target motion amount of the user is 2000 kilocalories from the information recorded by the intelligent wearable device, such as an intelligent bracelet, the current motion amount of the user is 1600 kilocalories on the same day, and the difference delta K between the target motion amount and the current motion amount is calculated to be 2000 kilocalories and 1600 kilocalories, 400 kilocalories.
The target amount of motion may be preset and saved by the user.
S3, the server determines the predicted exercise intensity of the user on the intelligent fitness equipment according to the exercise duration and the exercise amount difference;
for example, the intelligent fitness device in the home of the user is a treadmill, and the server can calculate the required running speed according to the calculation formula of the running heat:
exercise calorie (kcal) is body weight (kg) x exercise time (hour) x exercise coefficient K
When running, the motion coefficient K is 30 ÷ speed (min/400 m), the motion coefficient K is related to the motion mode, and the motion coefficient K is different for different motion modes such as walking, running, swimming and the like.
Specifically, when calculating, the running speed is 5.08km/h by substituting 400kcal for Δ K, 60kg for body weight and 1.05 hours for exercise. That is, the user's expected exercise intensity on the treadmill is 5.08km/h, that is, the user needs to reach the target exercise amount on the treadmill at the speed to complete the day.
S4, judging whether the historical exercise intensity of the user on the intelligent fitness equipment is larger than the predicted exercise intensity, if so, sending a first fitness prompt to the user terminal by the server, and setting the intelligent fitness equipment according to the historical exercise intensity when the user selects to exercise;
as an optional implementation mode, the server can acquire the common exercise intensity of the user using the treadmill in the time period (20: 00-22: 00) as the historical exercise intensity, for example, the common exercise intensity of the user is 7 km/h.
By comparison, the server sends a first fitness prompt to the user terminal when the historical exercise intensity of the user on the treadmill is larger than the expected exercise intensity. Fig. 4 is a schematic diagram of a first fitness reminder in a fitness processing method based on a smart home operating system according to a preferred embodiment of the present invention, as shown in fig. 4, displaying "start running now, easy achievement of today's sports goal" on a user terminal, and providing options "yes" and "no" whether the user confirms.
And if the server acquires the instruction of 'yes' selected by the user, setting the treadmill according to the historical exercise intensity. If the user selects "no", the flow ends.
S5, if the historical exercise intensity of the user on the intelligent fitness equipment is smaller than the predicted exercise intensity, determining the exercise intensity increasing rate according to the predicted exercise intensity and the historical exercise intensity, further judging whether the exercise intensity increasing rate is smaller than a preset increasing rate value, if so, sending a first fitness prompt to the user terminal by the server, and when the user selects to exercise, setting the intelligent fitness equipment according to the predicted exercise intensity;
if the historical exercise intensity of the user on the treadmill is 4.9km/h and is less than the predicted exercise intensity (5.08km/h), judging whether the exercise intensity increasing rate is less than a preset increasing rate value, wherein the exercise intensity increasing rate is (predicted exercise intensity-historical exercise intensity)/historical exercise intensity. The preset increment rate value is the maximum intensity increment rate acceptable by the user, for example, the preset increment rate value can be preset to 10%, and it can be understood that the user is willing to exercise with the intensity within 10% higher than the historical exercise intensity.
If the exercise intensity increment rate is smaller than the preset increment rate value, the first fitness reminder can be directly sent to the user terminal without additionally asking for the user to agree. Fig. 5 is a schematic view of a second fitness reminder in the fitness processing method based on the smart home operating system according to the preferred embodiment of the present invention, as shown in fig. 5, displaying "start running now, goal of today's sports" on the user terminal, and providing options "yes" and "no" whether the user confirms.
And if the server acquires the instruction of 'yes' selected by the user, setting the treadmill according to the expected exercise intensity. If the user selects "no", the execution ends.
And S6, if the exercise intensity increasing rate is larger than the preset increasing rate value, the server sends a third exercise prompt to the user terminal, and when the user selects to exercise, the intelligent exercise equipment is set according to the expected exercise intensity.
If the historical exercise intensity of the user on the treadmill is 4.5km/h and is smaller than the expected exercise intensity (5.08km/h) and the exercise intensity increment rate is larger than the preset increment rate value, a third fitness prompt is sent to the user terminal. Fig. 6 is a schematic view of a third fitness reminder in the fitness processing method based on the smart home operating system according to the preferred embodiment of the present invention, as shown in fig. 6, displaying on the user terminal "start running now, meet today's exercise goal, need to exercise by XX% higher than historical exercise intensity", and providing the user with the options "yes" and "no" of whether to confirm.
It can be understood that, if the user wants to complete the exercise goal on the same day, the exercise intensity required by the user obtained through calculation is higher than the preset increment rate value of the user, so that the user needs to be informed of the agreement additionally.
And if the server acquires the instruction of 'yes' selected by the user, setting the treadmill according to the expected exercise intensity. If the user selects "no", the execution ends.
Therefore, the above preferred embodiment mainly includes: calculating the predicted exercise intensity according to the exercise duration and the planned exercise amount, and determining a fitness management strategy according to a comparison result of the predicted exercise intensity and the historical exercise intensity; detecting whether the user is at home or not within a preset time period, and calculating the movable time length according to the time when the user is detected to be at home and the correction factor; and according to the judgment result obtained in the body-building management strategy, realizing a specific body-building management strategy.
Through the preferred embodiment, the problems that the fitness scheme in the related technology is passive in implementation and difficult to excite the fitness enthusiasm of the user and further the fitness effect of the user is influenced are effectively solved, whether the user is at home or not is detected in preset time, the user can be reminded at the first time according to the situation that the user finishes the exercise target, the fitness enthusiasm that the user wants to finish the exercise amount of the target is excited, and when the user selects fitness, the fitness is automatically set according to the strength capable of finishing the target, so that the user is helped to realize the exercise target.
It should be noted that the server in the above preferred embodiment is only an example, and is not limited to be applied to a server, and may be other devices that control motion.
In an embodiment of the present invention, there is further provided a motion processing apparatus, fig. 7 is a block diagram illustrating a structure of a smart home operating system-based fitness processing apparatus according to an embodiment of the present invention, and as shown in fig. 7, the smart home operating system-based fitness processing apparatus 70 includes an obtaining module 72, a generating module 74 and a determining module 76, which will be described below.
An obtaining module 72, configured to obtain a user's movable duration based on interaction with an intelligent gateway in an intelligent home; a generating module 74, connected to the acquiring module 72, for acquiring the amount of exercise of the user based on the interaction with the intelligent wearable device, and generating an amount of exercise difference according to the amount of exercise and the predetermined target amount of exercise; and the determining module 76 is connected to the generating module 74 and is used for determining a motion strategy that the user can complete the preset target motion amount based on the intelligent fitness equipment in the intelligent home according to the motion duration and the motion amount difference value and reminding the user that the preset target motion amount can be completed by performing the motion according to the motion strategy.
In an embodiment of the present invention, an intelligent home device is further provided, fig. 8 is a block diagram of a structure of the intelligent home device according to an embodiment of the present invention, and as shown in fig. 8, the intelligent home device 80 includes the fitness and exercise apparatus 70 based on the intelligent home operating system.
In an embodiment of the present invention, a storage medium is further provided, where the storage medium includes a stored program, and when the program runs, the apparatus on which the storage medium is located is controlled to execute any one of the aforementioned fitness exercise processing methods based on the smart home operating system.
In an embodiment of the present invention, there is also provided a computer device, including: a memory and a processor, the memory storing a computer program; and the processor is used for executing the computer program stored in the memory, and the computer program enables the processor to execute any one of the fitness exercise processing methods based on the intelligent home operating system.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (12)

1. A fitness processing method based on an intelligent home operating system is characterized by comprising the following steps:
acquiring the movable duration of a user based on interaction with an intelligent gateway in an intelligent home;
acquiring the amount of exercise of the user based on interaction with the intelligent wearable device, and generating an exercise amount difference value according to the amount of exercise and a preset target exercise amount;
according to the length of exercise and the difference value of the amount of exercise, determining a motion strategy that the user can finish the preset target amount of exercise based on intelligent fitness equipment in the intelligent home, and reminding the user to finish the preset target amount of exercise by moving according to the motion strategy;
wherein, according to the length of exercise and the amount of exercise difference, determining, based on the intelligent fitness equipment in the intelligent home, the exercise strategy that the user can complete the predetermined target amount of exercise comprises: determining the predicted exercise intensity according to the exercise duration and the exercise amount difference; acquiring historical exercise intensity of the user through interaction with the intelligent fitness equipment; judging whether the historical exercise intensity of the user is greater than or equal to the predicted exercise intensity; determining the exercise intensity increasing rate according to the historical exercise intensity and the predicted exercise intensity under the condition that the historical exercise intensity is smaller than the predicted exercise intensity; acquiring a preset increment rate value set on the intelligent fitness equipment through interaction with the intelligent fitness equipment; judging whether the exercise intensity increment rate is smaller than a preset increment rate value or not; and under the condition that the exercise intensity increment rate is smaller than the preset increment rate value according to the judgment result, determining that the exercise strategy that the user can finish the preset target exercise amount is as follows: completing the motion amount difference with the predicted motion intensity, thereby completing the predetermined target motion amount.
2. The method of claim 1, wherein obtaining the user's movable duration based on interaction with an intelligent gateway in an intelligent home comprises:
determining a movable starting time point of the user through a time point when the user logs in the intelligent gateway to connect the Internet of things;
and determining the movable time length of the user according to the starting time point and a preset movable time period.
3. The method of claim 2, wherein determining the user's movable duration based on the starting time point and the preset movable time period comprises:
determining the expected stay time of the user according to the starting time point and the movable time period;
and determining the movable time length of the user according to the estimated stay time length and a preset correction factor set on the intelligent fitness equipment.
4. The method of claim 1, wherein determining, based on the intelligent fitness device in the intelligent home, a motion strategy by which the user is able to achieve the predetermined target amount of motion based on the length of the activity and the amount of motion difference comprises:
Determining the predicted exercise intensity according to the exercise duration and the exercise amount difference;
and determining a motion strategy which can be completed by the user according to the predicted motion intensity.
5. The method of claim 4, wherein determining a motion strategy by which the user can achieve the predetermined target amount of motion based on the projected intensity of motion comprises:
acquiring historical exercise intensity of the user through interaction with the intelligent fitness equipment;
judging whether the historical exercise intensity of the user is greater than or equal to the predicted exercise intensity;
when the judgment result shows that the historical exercise intensity is greater than or equal to the expected exercise intensity, determining that the exercise strategy that the user can complete the preset target exercise amount is as follows: completing the motion amount difference with the historical motion intensity, thereby completing the predetermined target motion amount.
6. The method of claim 1, wherein after determining whether the exercise intensity rate of increase is less than a predetermined rate of increase value, further comprising:
and when the judgment result shows that the exercise intensity increment rate is greater than or equal to the preset increment rate value, determining that the exercise strategy that the user can complete the preset target exercise amount is as follows: the predicted exercise intensity, which is labeled to increase the exercise intensity rate higher than the historical exercise intensity, completes the exercise amount difference, thereby completing the predetermined target exercise amount.
7. The method of any of claims 1-6, further comprising, after determining a motion strategy that the user is able to achieve the predetermined target amount of motion based on the intelligent fitness equipment in the intelligent home based on the length of the movable activity and the amount of motion difference value:
receiving a selection instruction, wherein the selection instruction is used for indicating the selection of the motion strategy;
and setting the intelligent fitness equipment for finishing the preset target exercise amount according to the exercise parameters indicated in the exercise strategy.
8. The method of claim 7, wherein obtaining the amount of motion of the user based on the interaction with the smart wearable device, and generating a motion amount difference value according to the amount of motion and a predetermined target motion amount comprises:
acquiring the amount of exercise of the user based on interaction with intelligent wearable equipment;
acquiring a preset target motion quantity of the user based on interaction with intelligent fitness equipment in an intelligent home, wherein the preset target motion quantity is determined by the intelligent fitness equipment through interaction with intelligent kitchen ware in the intelligent home, and the intelligent kitchen ware is used for determining to provide heat for the user;
Determining a motion amount difference value for the user to complete the predetermined target motion amount based on the user's moved amount and the user's predetermined target motion amount.
9. A body-building processing apparatus based on wisdom family operating system, its characterized in that includes:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring the movable time length of a user based on the interaction with an intelligent gateway in an intelligent home;
the generating module is used for acquiring the amount of exercise of the user based on interaction with the intelligent wearable device and generating an exercise amount difference value according to the amount of exercise and a preset target exercise amount;
the determining module is used for determining a motion strategy that the user can complete the preset target motion amount based on intelligent fitness equipment in the intelligent home according to the movable time length and the motion amount difference value, and reminding the user to complete the preset target motion amount by moving according to the motion strategy;
the determining module is further configured to determine an expected exercise intensity according to the exercise duration and the exercise amount difference; acquiring historical exercise intensity of the user through interaction with the intelligent fitness equipment; judging whether the historical exercise intensity of the user is greater than or equal to the predicted exercise intensity; determining the exercise intensity increasing rate according to the historical exercise intensity and the predicted exercise intensity under the condition that the historical exercise intensity is smaller than the predicted exercise intensity; acquiring a preset increment rate value set on the intelligent fitness equipment through interaction with the intelligent fitness equipment; judging whether the exercise intensity increment rate is smaller than a preset increment rate value or not; and under the condition that the exercise intensity increment rate is smaller than the preset increment rate value according to the judgment result, determining that the exercise strategy that the user can finish the preset target exercise amount is as follows: completing the motion amount difference with the predicted motion intensity, thereby completing the predetermined target motion amount.
10. An intelligent home device, comprising the intelligent home operating system-based fitness processing device according to claim 9.
11. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, the apparatus on which the storage medium is located is controlled to execute the intelligent home operating system-based fitness processing method according to any one of claims 1 to 8.
12. A computer device, comprising: a memory and a processor, wherein the processor is configured to,
the memory stores a computer program;
the processor is configured to execute the computer program stored in the memory, and the computer program is executed to enable the processor to execute the intelligent home operating system-based fitness processing method according to any one of claims 1 to 8.
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