WO2019056605A1 - 一种动态调整健康锻炼计划的方法及系统 - Google Patents

一种动态调整健康锻炼计划的方法及系统 Download PDF

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WO2019056605A1
WO2019056605A1 PCT/CN2017/116403 CN2017116403W WO2019056605A1 WO 2019056605 A1 WO2019056605 A1 WO 2019056605A1 CN 2017116403 W CN2017116403 W CN 2017116403W WO 2019056605 A1 WO2019056605 A1 WO 2019056605A1
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plan
health
training
data
module
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PCT/CN2017/116403
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French (fr)
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代伟佳
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上海斐讯数据通信技术有限公司
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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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  • the invention relates to the field of health exercise monitoring, and in particular to a method and system for dynamically adjusting an exercise plan.
  • the patent publication CN104537593A provides a health platform monitoring system and method based on a cloud platform, the method comprising the following steps: uploading personal basic information input by a user to a cloud server, and displaying information of the information fed back by the cloud server
  • the terminal is configured to collect one or more of the user's motion information, physiological parameter information, and environment information, and send the APP application to the smart terminal for display, and upload the collected information to the cloud server's information collection module through the smart terminal.
  • calculate a health motion recommendation suitable for the user calculate it to the cloud server displayed by the smart terminal.
  • the method combines basic personal information, environmental physiological indicators during exercise and external environmental indicators, gives scientific and reasonable sports advice, and pushes dietary suggestions according to sports consumption, gradually forms a healthy scientific exercise mode, and significantly improves user health. situation.
  • the method solves the scientific and private customization of the user's exercise process to a certain extent.
  • the method cannot adjust the health training plan in real time, therefore, the user is It is also difficult to achieve optimal health exercises.
  • the object of the present invention is to provide a method and system for dynamically adjusting a healthy exercise program according to the defects of the prior art, which can provide a scientific, private, trackable, and real-time adjusted high-efficiency health exercise program for the user.
  • a method of dynamically adjusting a healthy exercise program including steps:
  • the measuring end measures personal body indicator data
  • the dynamic generation end generates a health plan according to personal body indicator data transmitted by the measurement end, the health plan includes a training plan and a diet plan;
  • the mobile terminal collects motion data and sends the motion data to the dynamic generation end;
  • the dynamic generation end determines, according to the motion data, whether the training plan is completed and obtains a training plan completion progress.
  • the dynamic generation end adjusts the health plan according to the training plan completion progress and the re-measured personal body indicator data.
  • step S2 specifically includes:
  • the dynamic generating end sends the personal body indicator data transmitted by the measuring end to the web background;
  • the web background compares and analyzes the personal body indicator data and the standard model data of the web background and sends the comparison analysis result to the dynamic generation end;
  • the dynamic generation end generates a health plan based on the comparison analysis result.
  • the method further includes the steps of:
  • the dynamic generation end determines whether the personal physical indicator data is consistent with the standard model data of the web background
  • steps S3-S4 are performed cyclically.
  • the method further includes the steps of:
  • the mobile terminal sends a motion reminder signal according to the training plan and gives a corresponding motion mode selection.
  • the method further includes the steps of:
  • the mobile terminal sets a threshold of the training state according to the training plan
  • the mobile terminal determines whether the training state reaches the threshold, and if so, issues a reminder signal to suspend the training.
  • a system for dynamically adjusting the exercise program including:
  • Measuring end dynamic generating end, moving end
  • the measuring end is used for measuring personal body indicator data
  • the mobile terminal is configured to collect motion data and send the motion data to a dynamic generation end;
  • the dynamic generation end includes a generation health plan module, an acquisition progress module, and a health plan adjustment module, and the generated health plan module is configured to generate a health plan according to the personal physical indicator data, the health plan including a training plan and a diet plan;
  • the acquisition progress module is configured to obtain a training plan completion progress according to the exercise data;
  • the health plan adjustment module is configured to adjust the health plan according to the training plan completion progress and the re-measured personal body data.
  • the health plan generation module includes:
  • a transmission unit configured to send personal body indicator data transmitted by the measuring end to the web background
  • a receiving unit configured to receive a comparative analysis result of the web background comparison analysis personal body indicator data and the standard model data of the web background
  • a generating unit configured to generate a health plan according to the comparison analysis result.
  • the dynamic generating end further includes:
  • a first determining module configured to determine whether the personal physical indicator data is consistent with the standard model data of the web background
  • a loop execution module for cycling the health plan adjustment module according to the health plan implementation.
  • the mobile terminal further includes:
  • a reminding module configured to send a motion reminding signal according to the training plan and give a corresponding motion mode selection
  • the mobile terminal further includes:
  • a second determining module configured to determine whether the training state reaches the threshold
  • the pause reminder module is used to issue a pause training reminder signal.
  • the method of generating a health plan by using the measuring end, the dynamic generating end and the mobile end can not only customize the training plan and the diet plan for the user, but also adjust the user in real time according to the user's exercise effect and physical state. Training programs and diet plans to help users achieve optimal exercise goals.
  • Embodiment 1 is a flow chart of a method for dynamically adjusting a healthy exercise plan according to Embodiment 1;
  • Embodiment 2 is a system structural diagram of a dynamic adjustment health exercise plan of Embodiment 1;
  • Embodiment 3 is an internal structural diagram of a dynamic generation end of Embodiment 1;
  • FIG. 4 is a flow chart of a method for dynamically adjusting a healthy exercise plan according to Embodiment 2;
  • Embodiment 5 is a system structural diagram of a dynamic adjustment health exercise plan of Embodiment 2;
  • Embodiment 6 is an internal structural diagram of a dynamic generation end of Embodiment 2;
  • This embodiment provides a method for dynamically adjusting a healthy exercise plan, as shown in FIG. 1 , including the steps:
  • the measuring end measures personal body indicator data
  • the dynamic generation end generates a health plan according to personal body indicator data transmitted by the measurement end, where the health plan includes a training plan and a diet plan;
  • the mobile terminal collects motion data and sends the motion data to a dynamic generation end;
  • the dynamic generation end determines, according to the motion data, whether the training plan is completed and obtains a training plan completion progress.
  • the dynamic generation end adjusts the health plan according to the training plan completion progress and the re-measured personal body indicator data.
  • the measurement end, the dynamic generation end, and the mobile end perform wireless transmission.
  • Step S11 specifically measures the user's personal body index data for the measurement end, and the obtained body indicator data includes body weight, body fat, BMI, basal metabolism, muscle content, protein index, etc., and monitors the user's current body according to the measured personal body indicator data of the user. Status and health status, such as the lack of protein, will recommend users to eat high-protein foods. If the bone mass is insufficient, it is recommended to increase the absorption of calcium.
  • the measuring end is an intelligent weight scale, but is not limited to the smart weight scale.
  • Step S12 specifically generates different health plans for different individual body index numbers, and the health plan includes a training plan and a diet plan: for example, a young group with high body fat, since the body fat percentage is a percentage of the total weight of the body, Obesity is determined by the fat rate.
  • the recommended exercise for this situation is aerobic exercise, supplemented by anaerobic, that is, jogging, skipping, walking, cycling, swimming, basketball, football and other activities to effectively consume quantitative Fat; in the diet is to ensure the intake of three staple foods, you can eat corn, sorghum, oats and other coarse grain carbohydrates, but chickens, ducks and other poultry should be less touched (except chicken breast), all pasta and sweets are The roots of long meat, sweets, fried foods and snacks should be restrained as much as possible; based on this premise, staged regular planning and training of different routes are given.
  • the dynamic generation end provided by this embodiment is a mobile phone APP, but is not limited to a mobile phone APP.
  • Step S13 is specifically a mobile terminal real-time monitoring training program implementation process, and the mobile terminal can be carried by the user.
  • the mobile terminal collects motion data, such as: exercise time, sports mileage, sports environment information, etc., and simultaneously monitors the user's
  • the heart rate data, the heart rate data is the core data for guiding the user to adjust the training plan, and the motion data is sent to the dynamic generation end;
  • the mobile terminal provided in this embodiment is a smart sports watch, but is not limited to a smart sports watch.
  • Step S14 specifically determines whether the user completes the training plan and obtains the training plan completion progress. For example, if the training plan is running 2 kilometers and the user runs 1 kilometer, the training plan completion progress is 1 km. If the running is 2 kilometers, correspondingly, the progress is made. It is 2 kilometers, and so on.
  • Step S15 After the first implementation of the training plan, the user dynamically integrates the completion progress of the training plan and the personal physical indicator data re-measured by the measuring end, thereby tracking the individual's exercise habits and exercise state and improving the personal body index data accordingly. To adjust the training plan and diet plan in real time to achieve the best exercise goals.
  • step S12 specifically includes:
  • the dynamic generating end sends the personal body indicator data transmitted by the measuring end to the web background;
  • the web background compares and analyzes the personal body indicator data and the standard model data of the web background and sends the comparison analysis result to the dynamic generation end;
  • the dynamic generation end generates a health plan based on the comparison analysis result.
  • the advantage of this step is that the user's personal physical indicator data is combined with the big data model of the web background to generate a health training plan that is most suitable for the user.
  • the dynamic generation end will personalize the body.
  • the index data is synchronized to the web background.
  • the web background performs the standard judgment of the personal body index data, and the user's actual physical index data and the standard model data are used for comparative analysis. It is concluded that the body fat is too high, the muscle content is low, and the bone content is low. Etc., set the corresponding training plan and dietary recommendations for different physical indicators.
  • the mobile terminal sends a motion reminder signal according to the training plan and gives a corresponding motion mode selection.
  • the training plan includes a plan for the user to set the exercise time, exercise mode, exercise mileage, etc., and the mobile terminal sends a motion reminder signal in real time according to the training plan to remind the user to exercise at the time, and the corresponding exercise mode selection is given according to the training plan. .
  • the mobile terminal sets a threshold of the training state according to the training plan
  • the mobile terminal determines whether the training state reaches the threshold, and if so, issues a reminder signal to suspend the training.
  • the threshold of the training state is set according to the training plan by the mobile terminal, for example, the threshold of the exercise heart rate is set to 160 beats/min, when the user motion is monitored. When the heart rate reaches 160 beats/min, a reminder signal to suspend user training is issued to ensure the safety and health of the user's exercise.
  • the embodiment further provides a system for dynamically adjusting a healthy exercise plan, as shown in FIG. 2, including:
  • the measuring end 11 is used for measuring personal body indicator data
  • the dynamic generating terminal 12 includes a generated health plan module 121 and a health plan adjusting module 122, and a progress obtaining module 123.
  • the generated health plan module 121 is configured to generate a health plan according to the personal body index data, and obtain the progress module 123 for Obtaining a training plan completion progress based on the athletic data;
  • the health plan adjustment module 122 is configured to adjust the health plan according to the training plan completion progress and the re-measured personal body data;
  • the mobile terminal 13 is configured to collect motion data and transmit the motion data to the dynamic generation terminal 12.
  • the health plan generation module 121 includes:
  • a transmission unit configured to send personal body indicator data transmitted by the measuring end to the web background 14;
  • a generating unit configured to generate a health plan according to the comparison analysis result.
  • the mobile terminal 13 further includes:
  • a reminding module configured to send a motion reminding signal according to the training plan and give a corresponding motion mode selection
  • the mobile terminal 13 further includes:
  • a second determining module configured to determine whether the training state reaches the threshold
  • the pause reminder module is used to issue a pause training reminder signal.
  • This embodiment provides a method for dynamically adjusting a healthy exercise plan, as shown in FIG. 3, including the steps:
  • the measuring end measures personal body indicator data
  • the dynamic generating end generates a health plan according to personal body indicator data transmitted by the measuring end, where the health plan includes a training plan and a diet plan;
  • the mobile terminal collects motion data and sends the motion data to the dynamic generation end.
  • the dynamic generation end determines, according to the motion data, whether the training plan is completed and obtains a training plan completion progress.
  • the dynamic generation end adjusts the health plan according to the training plan completion progress and the re-measured personal physical indicator data.
  • the dynamic generation end determines whether the personal physical indicator data is consistent with the standard model data of the web background
  • the dynamic generation end If the personal physical indicator is consistent with the standard model data of the web background, the dynamic generation end generates a final health plan
  • the embodiment further includes steps S26-S28.
  • the user uses this method for health training for a long time, and the physical indicator data will continuously approach the standard model data of the web background.
  • the dynamic generation end does not need to adjust the health plan to generate the final health plan; when the user's physical indicators and the standard model data of the web background are different, the user's health plan needs to be continuously adjusted according to steps S23-S24.
  • the advantage of this embodiment is that a final health plan is generated for a user who exercises for a long period of time, so that the user's training plan and diet plan are stabilized, the health plan is not frequently adjusted, and the measurement end, the dynamic generation end, and the mobile end are also saved. The energy consumed.
  • step S22 includes:
  • the dynamic generating end sends the personal body indicator data transmitted by the measuring end to the web background;
  • the web background compares and analyzes the personal body indicator data and the standard model data of the web background and sends the comparison analysis result to the dynamic generation end;
  • the dynamic generation end generates a health plan based on the comparison analysis result.
  • the mobile terminal sends a motion reminder signal according to the training plan and gives a corresponding motion mode selection.
  • the mobile terminal sets a threshold of the training state according to the training plan
  • the mobile terminal determines whether the training state reaches the threshold, and if so, issues a reminder signal to suspend the training.
  • the embodiment further provides a system for dynamically adjusting a health exercise plan, as shown in FIG. 4, including:
  • the measuring end 21 is used for measuring personal body indicator data
  • the dynamic generation terminal 22 includes a generated health plan module 221 , a health plan adjustment module 222 , an acquisition progress module 223 , a first determination module 224 , a final generation module 225 , and a loop execution module 226 .
  • the obtaining progress module 223 is configured to obtain a training plan completion progress according to the exercise data
  • the health plan adjusting module 222 is configured to adjust the health plan according to the training plan completion progress and the re-measured personal body data
  • the judging module 224 is configured to determine whether the personal physical indicator data is consistent with the standard model data of the web background
  • the final generation module 225 is configured to generate a final health plan
  • the loop execution module 226 is configured to cyclically adjust the health plan according to the health plan implementation.
  • the mobile terminal 23 is for collecting motion data and transmitting the motion data to the dynamic generation terminal 22.
  • the dynamic generating terminal 22 further includes a first determining module 224 and a final The module 225 and the loop execution module 226.
  • the user uses this method for health training for a long time, and the physical index data will continuously approach the standard model data of the web background.
  • the dynamic generation module does not need to adjust the health plan.
  • the final health plan is formed; when there is a difference between the user's physical indicators and the standard model data of the web background, the user's health plan needs to be continuously adjusted according to steps S23-S24.
  • the advantage of this embodiment is that a final health plan is generated for a user who exercises for a long period of time, so that the user's training plan and diet plan are stabilized, the health plan is not frequently adjusted, and the measurement end, the dynamic generation end, and the mobile end are also saved. The energy consumed.
  • a transmission unit configured to send the personal body indicator data transmitted by the measuring end 21 to the web background
  • a receiving unit configured to receive a comparative analysis result of the web background comparison analysis personal body indicator data and the standard model data of the web background
  • a generating unit configured to generate a health plan according to the comparison analysis result.
  • the mobile terminal 23 further includes:
  • a reminding module configured to send a motion reminding signal according to the training plan and give a corresponding motion mode selection
  • the mobile terminal 23 further includes:
  • a second determining module configured to determine whether the training state reaches the threshold
  • the pause reminder module is used to issue a pause training reminder signal.

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Abstract

本发明公开了一种动态调整健康锻炼计划的方法及系统，该方法包括：S1.测量端测量个人身体指标数据；S2.动态生成端根据测量端传输的个人身体指标数据生成健康计划，所述健康计划包括训练计划和饮食计划；S3.移动端采集运动数据并发送至动态生成端；S4.动态生成端根据所述运动数据判断训练计划是否完成并获得训练计划完成进度；S5.动态生成端根据所述训练计划完成进度和重新测量的个人身体指标数据调整健康计划。利用测量端、动态生成端和移动端的有机结合生成健康计划的方法，不仅能够为用户私人订制训练计划和饮食计划，同时可以根据用户的运动效果和身体状态实时调整用户的训练计划和饮食计划，实现用户最佳健康锻炼效果。

Description

一种动态调整健康锻炼计划的方法及系统 技术领域
本发明涉及健康锻炼监控领域，尤其涉及一种动态调整锻炼计划的方法及系统。
背景技术
伴随着健康运动的普及，越来越多的人开始运动起来，同时移动终端的运动、健康、饮食等软件APP得以井喷式增长，然而在这个互联网、软件高速发展的今天，琳琅满目的软件APP使得用户难以选择到私人订制般的锻炼计划，因此，高效的、能够追踪、动态调整的健康锻炼计划方案成为爱好锻炼者追求的健康锻炼计划方案。
传统的锻炼、训练计划等都比较固定，且不能根据用户的身体详细状况进行实施，中途不能够在用户状态发生变化之时做出实时调整，不具有科学性、私人订制性、实时性，以至于容易在训练过程中容易受伤，或者难以达到自己想要的锻炼效果。
例如公开号为CN104537593A的专利提供了本发明涉及一种基于云平台的健康运动监控系统及方法，该方法包括用于将用户输入的个人基本信息上传至云服务器，显示云服务器反馈的信息的智能终端；用于采集用户的运动信息、生理参数信息和环境信息中的一种或几种，发送至智能终端的APP应用进行显示，同时通过智能终端上传采集到的信息至云服务器的信息采集模块；用于综合分析个人基本信息和/或运动信息和/或生理参数信息和/或环境信息，计算出适合用户的健康运动建议,并发送给智能终端显示的云服务器。该方法将个人基本信息、运动时内环境生理指标和外环境指标有机结合起来，给予科学合理的运动建议，同时根据运动消耗推送饮食建议，逐渐形成健康科学的运动方式，显著地改善用户的健康状况。该方法在一定程度上解决了用户运动过程的科学性和私人订制性，但是，当用户进行健康训练后个人身体指标数据产生变化，该方法不能对健康训练计划进行实时调整，因此，对用户也难以达到最佳健康锻炼效果。
发明内容
本发明的目的是针对现有技术的缺陷，提供一种动态调整健康锻炼计划的方法及系统，可为用户提供科学的、私人的、能够追踪的、实时调整的高效健康锻炼计划。
为了实现以上目的，本发明采用以下技术方案：
一种动态调整健康锻炼计划的方法，包括步骤：
S1.测量端测量个人身体指标数据；
S2.动态生成端根据测量端传输的个人身体指标数据生成健康计划，所述健康计划包括训练计划和饮食计划；
S3.移动端采集运动数据并将所述运动数据发送至动态生成端；
S4.动态生成端根据所述运动数据判断训练计划是否完成并获得训练计划完成进度
S5.动态生成端根据所述训练计划完成进度和重新测量的个人身体指标数据调整健康计划。
进一步的，步骤S2具体包括：
动态生成端将测量端传输的个人身体指标数据发送至Web后台；
Web后台对比分析所述个人身体指标数据与Web后台的标准模型数据并将对比分析结果发送至动态生成端；
动态生成端根据所述对比分析结果生成健康计划。
进一步的，还包括步骤：
动态生成端判断个人身体指标数据是否与Web后台的标准模型数据一致；
若个人身体指标与Web后台的标准模型数据一致，则生成最终健康计划；
若人身体指标与Web后台的标准模型数据不一致，循环执行步骤S3-S4。
进一步的，还包括步骤：
移动端根据训练计划发出运动提醒信号并给出相应的运动模式选择。
进一步的，还包括步骤：
移动端根据训练计划设定训练状态的阈值；
移动端判断训练状态是否达到该阈值，若是，则发出暂停训练的提醒信号。
相应的，还提供一种动态调整健康锻炼计划的系统，包括：
测量端，动态生成端，移动端；
所述测量端用于测量个人身体指标数据；
所述移动端用于采集运动数据并将所述运动数据发送至动态生成端；
所述动态生成端包括生成健康计划模块、获得进度模块和健康计划调整模块，所述生成健康计划模块用于根据所述个人身体指标数据生成健康计划，所述健康计划包括训练计划和饮食计划；所述获得进度模块用于根据运动数据获得训练计划完成进度；所述健康计划调整模块用于根据所述训练计划完成进度和重新测量的个人身体数据调整健康计划。
进一步的，所述健康计划生成模块包括：
传输单元，用于将测量端传输的个人身体指标数据发送至Web后台；
接收单元，用于接收Web后台对比分析个人身体指标数据与Web后台的标准模型数据的对比分析结果；
生成单元，用于根据所述对比分析结果生成健康计划。
进一步的，所述动态生成端还包括：
第一判断模块，用于判断个人身体指标数据是否与Web后台的标准模型数据一致；
最终生成模块，用于生成最终健康计划；
循环执行模块，用于根据健康计划实施情况循环执行健康计划调整模块。
进一步的，所述移动端还包括：
提醒模块，用于根据训练计划发出运动提醒信号并给出相应的运动模式选择；
进一步的，所述移动端还包括：
设定阈值模块，用于根据训练计划设定训练状态的阈值；
第二判断模块，用于判断训练状态是否达到该阈值；
暂停提醒模块，用于发出暂停训练提醒信号。
与现有技术相比，采用测量端、动态生成端、移动端结合生成健康计划的方法，不仅能够为用户私人订制训练计划和饮食计划，同时可以根据用户的运动效果和身体状态实时调整用户的训练计划和饮食计划，帮助用户完成最佳锻炼目标。
附图说明
图1为实施例一动态调整健康锻炼计划的方法流程图；
图2为实施例一动态调整健康锻炼计划的系统结构图；
图3为实施例一动态生成端的内部结构图；
图4为实施例二动态调整健康锻炼计划的方法流程图；
图5为实施例二动态调整健康锻炼计划的系统结构图；
图6为实施例二动态生成端的内部结构图；
具体实施方式
以下是本发明的具体实施例并结合附图，对本发明的技术方案作进一步的描述，但本发明并不限于这些实施例。
实施例一
本实施例提供一种动态调整健康锻炼计划的方法，如图1所示，包括步骤：
S11.测量端测量个人身体指标数据；
S12.动态生成端根据测量端传输的个人身体指标数据生成健康计划，所述健康计划包括训练计划和饮食计划；
S13.移动端采集运动数据并将所述运动数据发送至动态生成端；
S14.动态生成端根据所述运动数据判断训练计划是否完成并获得训练计划完成进度
S15.动态生成端根据所述训练计划完成进度和重新测量的个人身体指标数据调整健康计划。
本实施例测量端、动态生成端、移动端之间进行无线传输。
步骤S11具体为测量端测量用户的个人身体指标数据，得到的身体指标数据包括体重、体脂、BMI、基础代谢、肌肉含量、蛋白质指标等，根据测量用户的个人身体指标数据监测用户当前的身体状态和健康状况，如蛋白质的缺失将推荐用户多食用高蛋白食物，骨量不足则推荐多增进钙的吸收，本实施例提 供的测量端为智能体重秤，但不限于智能体重称。
步骤S12具体为针对不同的个人身体指标数生成不同的健康计划，健康计划包括训练计划和饮食计划：例如体脂过高的年轻群体，由于体脂率是脂肪重要占人体总体重的百分比，真正的肥胖由脂肪率来判定，这种情况应该给予的运动建议是以有氧运动为主，无氧为辅，即进行慢跑、跳绳、散步、自行车、游泳、篮球、足球等活动以有效消耗定量脂肪；而在饮食上则是保证三餐主食的摄入，可多吃玉米、高粱、燕麦等粗粮碳水化合物，但鸡鸭猪等家禽要少碰(鸡胸肉除外)，一切面食和甜食都是长肉的根源，甜食、炸煎类食品和零食要尽量克制；基于这样的前提下，给出阶段性的定期计划、不同路线的训练。本实施例提供的动态生成端为手机APP，但不限于手机APP。
步骤S13具体为移动端实时监测训练计划的实施过程，移动端可由用户随身携带，在训练过程中移动端进行运动数据的采集，例如：运动时间、运动里程、运动环境信息等，并同时监测用户的心率数据，心率数据是指导用户调整训练计划的核心数据，并将将该运动数据发送到动态生成端；本实施例提供的移动端为智能运动手表，但不限于智能运动手表。
步骤S14具体为判断用户是否完成训练计划并获得训练计划完成进度，例如训练计划为跑步2公里，用户跑了1公里，则训练计划完成进度为1公里，若跑了2公里，相应的，进度为2公里，以此类推。
步骤S15用户在首次实施训练计划后，动态生成端整合训练计划完成进度和测量端重新测量的个人身体指标数据，据此跟踪个人的运动习惯及运动状态并据此对个人身体指标数据形成的改善来对训练计划和饮食计划进行实时调整，以达到最佳的锻炼目标。
具体的，步骤S12具体包括：
动态生成端将测量端传输的个人身体指标数据发送至Web后台；
Web后台对比分析所述个人身体指标数据与Web后台的标准模型数据并将对比分析结果发送至动态生成端；
动态生成端根据所述对比分析结果生成健康计划。
该步骤的优点在于基于用户的个人身体指标数据结合Web后台的大数据模型为用户生成最适合自己的健康锻炼计划，具体为，动态生成端将个人身体 指标数据同步到Web后台，Web后台进行个人身体指标数据的标准判定，结合用户的实际身体指标数据和标准模型数据进行对比分析，得出结论，即体脂过高、肌肉含量低、骨骼含量低等，针对不同的身体指标情况以设定对应训练计划和饮食推荐。
具体的，还包括步骤：
移动端根据训练计划发出运动提醒信号并给出相应的运动模式选择。
训练计划包括为用户设定的运动时间、运动模式、运动里程等计划，移动端根据该训练计划实时发出运动提醒信号提醒用户到时间该锻炼了，同时会根据训练计划给出相应的运动模式选择。
具体的，还包括步骤：
移动端根据训练计划设定训练状态的阈值；
移动端判断训练状态是否达到该阈值，若是，则发出暂停训练的提醒信号。
在锻炼的过程中用户不一定能完全把握运动的安全度和健康度，通过移动端根据训练计划设定训练状态的阈值，例如设定运动心率的阈值为160次/分，当监测到用户运动心率达到160次/分时，发出暂停用户训练的提醒信号，以此保证用户锻炼的安全性和健康性。
相应的，本实施例还提供一种一种动态调整健康锻炼计划的系统，如图2所示，包括：
测量端11，动态生成端12，移动端13；
测量端11用于测量个人身体指标数据；
如图3所示，动态生成端12包括生成健康计划模块121和健康计划调整模块122，获得进度模块123；生成健康计划模块121用于根据个人身体指标数据生成健康计划，获得进度模块123用于根据运动数据获得训练计划完成进度；健康计划调整模块122用于根据训练计划完成进度和重新测量的个人身体数据调整健康计划；
移动端13用于采集运动数据并将所述运动数据发送至动态生成端12。
具体的，健康计划生成模块121包括：
传输单元，用于将测量端传输的个人身体指标数据发送至Web后台14；
接收单元，用于接收Web后台对比分析个人身体指标数据与Web后台14 的标准模型数据的对比分析结果；
生成单元，用于根据所述对比分析结果生成健康计划。
具体的，移动端13还包括：
提醒模块，用于根据训练计划发出运动提醒信号并给出相应的运动模式选择；
具体的，移动端13还包括：
设定阈值模块，用于根据训练计划设定训练状态的阈值；
第二判断模块，用于判断训练状态是否达到该阈值；
暂停提醒模块，用于发出暂停训练提醒信号。
实施例二
本实施例提供一种动态调整健康锻炼计划的方法，如图3所示，包括步骤：
S21.测量端测量个人身体指标数据；
S22.动态生成端根据测量端传输的个人身体指标数据生成健康计划，所述健康计划包括训练计划和饮食计划；
S23.移动端采集运动数据并将所述运动数据发送至动态生成端；
S24.动态生成端根据所述运动数据判断训练计划是否完成并获得训练计划完成进度
S25.动态生成端根据所述训练计划完成进度和重新测量的个人身体指标数据调整健康计划。
S26.动态生成端判断个人身体指标数据是否与Web后台的标准模型数据一致；
S27.若个人身体指标与Web后台的标准模型数据一致，则动态生成端生成最终健康计划；
S28.若个人身体指标与Web后台的标准模型数据不一致，循环执行步骤S23-S25。
与实施例一不同的是，本实施例还包括步骤S26-S28。
用户长期使用该方法进行健康训练，其身体指标数据会不断接近Web后台的标准模型数据，当用户的身体指标数据与Web后台的标准模型数据吻合时， 动态生成端无需再对健康计划进行调整，生成最终健康计划；当用户的身体指标和Web后台的标准模型数据还有差别时，则需要根据步骤S23-S24不断调整用户的健康计划。本实施例的优点在于，为长期进行锻炼的用户生成最终健康计划，使用户的训练计划和饮食计划趋于稳定，不再频繁调整健康计划，同时也节约了测量端、动态生成端以及移动端消耗的能量。
具体的，步骤S22包括：
动态生成端将测量端传输的个人身体指标数据发送至Web后台；
Web后台对比分析所述个人身体指标数据与Web后台的标准模型数据并将对比分析结果发送至动态生成端；
动态生成端根据所述对比分析结果生成健康计划。
具体的，还包括步骤：
移动端根据训练计划发出运动提醒信号并给出相应的运动模式选择。
具体的于，还包括步骤：
移动端根据训练计划设定训练状态的阈值；
移动端判断训练状态是否达到该阈值，若是，则发出暂停训练的提醒信号。
相应的，本实施例还提供一种动态调整健康锻炼计划的系统，如图4所示，包括：
测量端21，动态生成端22，移动端23；
测量端21用于测量个人身体指标数据；
如图6所示，动态生成端22包括生成健康计划模块221、健康计划调整模块222、获得进度模块223、第一判断模块224、最终生成模块225和循环执行模块226，生成健康计划模块221用于根据个人身体指标数据生成健康计划，获得进度模块223用于根据运动数据获得训练计划完成进度，健康计划调整模块222用于根据训练计划完成进度和重新测量的个人身体数据调整健康计划；第一判断模块224用于判断个人身体指标数据是否与Web后台的标准模型数据一致；最终生成模块225用于生成最终健康计划；循环执行模块226用于根据健康计划实施情况循环调整健康计划。
移动端23用于采集运动数据并将所述运动数据发送至动态生成端22。
与实施例以不同的是，动态生成端22还包括第一判断模块224、最终生 成模块225和循环执行模块226。
用户长期使用该方法进行健康训练，其身体指标数据会不断接近Web后台的标准模型数据，当用户的身体指标数据与Web后台的标准模型数据吻合时，动态生成模块无需再对健康计划进行调整，形成最终健康计划；当用户的身体指标和Web后台的标准模型数据还有差别时，则需要根据步骤S23-S24不断调整用户的健康计划。本实施例的优点在于，为长期进行锻炼的用户生成最终健康计划，使用户的训练计划和饮食计划趋于稳定，不再频繁调整健康计划，同时也节约了测量端、动态生成端以及移动端消耗的能量。
具体的，还包括：
传输单元，用于将测量端21传输的个人身体指标数据发送至Web后台；
接收单元，用于接收Web后台对比分析个人身体指标数据与Web后台的标准模型数据的对比分析结果；
生成单元，用于根据所述对比分析结果生成健康计划。
具体的，移动端23还包括：
提醒模块，用于根据训练计划发出运动提醒信号并给出相应的运动模式选择；
具体的，移动端23还包括：
设定阈值模块，用于根据训练计划设定训练状态的阈值；
第二判断模块，用于判断训练状态是否达到该阈值；
暂停提醒模块，用于发出暂停训练提醒信号。
本文中所描述的具体实施例仅仅是对本发明精神作举例说明。本发明所属技术领域的技术人员可以对所描述的具体实施例做各种各样的修改或补充或采用类似的方式替代，但并不会偏离本发明的精神或者超越所附权利要求书所定义的范围。

Claims (10)

  1. 一种动态调整健康锻炼计划的方法，其特征在于，包括步骤：
    S1.测量端测量个人身体指标数据；
    S2.动态生成端根据测量端传输的所述个人身体指标数据生成健康计划，所述健康计划包括训练计划和饮食计划；
    S3.移动端采集运动数据并将所述运动数据发送至动态生成端；
    S4.动态生成端根据所述运动数据判断训练计划是否完成并获得训练计划完成进度；
    S5.动态生成端根据所述训练计划完成进度和重新测量的个人身体指标数据调整健康计划。
  2. 如权利要求1所述的动态调整健康锻炼计划的方法，其特征在于，步骤S2具体包括：
    动态生成端将测量端传输的个人身体指标数据发送至Web后台；
    Web后台对比分析所述个人身体指标数据与Web后台的标准模型数据并将对比分析结果发送至动态生成端；
    动态生成端根据所述对比分析结果生成健康计划。
  3. 如权利要求2所述的动态调整健康锻炼计划的方法，其特征在于，还包括步骤：
    动态生成端判断个人身体指标数据是否与Web后台的标准模型数据一致；
    若所述个人身体指标与Web后台的标准模型数据一致，则生成最终健康计划；
    若所述个人身体指标与Web后台的标准模型数据不一致，循环执行步骤S3-S4。
  4. 如权利要求1所述的动态调整健康锻炼计划的方法，其特征在于，还包括步骤：
    移动端根据训练计划发出运动提醒信号并给出相应的运动模式选择。
  5. 如权利要求1所述的动态调整健康锻炼计划的方法，其特征在于，还包括步骤：
    移动端根据训练计划设定训练状态的阈值；
    移动端判断训练状态是否达到该阈值，若是，则发出暂停训练的提醒信号。
  6. 一种动态调整健康锻炼计划的系统，其特征在于，包括：
    测量端，动态生成端，移动端；
    所述测量端用于测量个人身体指标数据；
    所述移动端用于采集运动数据并将所述运动数据发送至动态生成端；
    所述动态生成端包括生成健康计划模块、获得进度模块和健康计划调整模块，所述生成健康计划模块用于根据所述个人身体指标数据生成健康计划，所述健康计划包括训练计 划和饮食计划；所述获得进度模块用于根据运动数据获得训练计划完成进度；所述健康计划调整模块用于根据所述训练计划完成进度和重新测量的个人身体数据调整健康计划。
  7. 如权利要求1所述的动态调整健康锻炼计划的系统，其特征在于，所述健康计划生成模块包括：
    传输单元，用于将测量端传输的个人身体指标数据发送至Web后台；
    接收单元，用于接收Web后台对比分析个人身体指标数据与Web后台的标准模型数据的对比分析结果；
    生成单元，用于根据所述对比分析结果生成健康计划。
  8. 如权利要求7所述的动态调整健康锻炼计划的系统，其特征在于，所述动态生成端还包括：
    第一判断模块，用于判断个人身体指标数据是否与Web后台的标准模型数据一致；
    最终生成模块，用于生成最终健康计划；
    循环执行模块，用于根据健康计划实施情况循环执行健康计划调整模块。
  9. 如权利要求1所述的动态调整健康锻炼计划的系统，其特征在于，所述移动端还包括：
    提醒模块，用于根据训练计划发出运动提醒信号并给出相应的运动模式选择；
  10. 如权利要求1所述的动态调整健康锻炼计划的系统，其特征在于，所述移动端还包括：
    设定阈值模块，用于根据训练计划设定训练状态的阈值；
    第二判断模块，用于判断训练状态是否达到该阈值；
    暂停提醒模块，用于发出暂停训练提醒信号。
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113473901A (zh) * 2019-04-09 2021-10-01 松下知识产权经营株式会社 行动支持系统及行动支持方法
WO2022262747A1 (en) 2021-06-18 2022-12-22 Zepp Inc. Integrative multi-modal computing for personal health navigation
CN116805525A (zh) * 2023-08-21 2023-09-26 营动智能技术(山东)有限公司 一种慢性病信息化管理方法、系统及存储介质

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN108389628A (zh) * 2018-02-28 2018-08-10 张晶心 一种健康指标改善模型确定方法和装置
US20190281878A1 (en) * 2018-03-19 2019-09-19 Midea Group Co., Ltd. Method and system for providing action recommendations associated with kitchen appliances
CN110957020A (zh) * 2018-09-27 2020-04-03 上海博泰悦臻网络技术服务有限公司 健康管理方法及其系统
TWI679608B (zh) * 2018-10-25 2019-12-11 財團法人資訊工業策進會 訓練方法、訓練系統及非暫態電腦可讀取媒體
CN109215758A (zh) * 2018-11-12 2019-01-15 璧靛箍 一种个人健康行为习惯训练系统
CN110010223A (zh) * 2019-01-23 2019-07-12 深圳市中银科技有限公司 一种基于人工智能的运动健康数据采集管理处方、终端服务系统
CN109589564B (zh) * 2019-01-30 2020-08-07 重庆勤鸟圈科技有限公司 定制化健身计划生成系统
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CN112133403B (zh) * 2020-09-30 2024-01-05 郑州大学 一种基于边缘计算与云端反馈的锻炼控制系统
CN112489765A (zh) * 2020-11-30 2021-03-12 成都永信智谷科技有限公司 一种智慧食堂用健康数据管理方法及系统
CN112599222A (zh) * 2020-12-28 2021-04-02 重庆市汇人健康管理有限责任公司 一种用于体重异常人群的饮食与运动指导方法
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CN112735561A (zh) * 2021-01-07 2021-04-30 深圳市罗湖医院集团 一种用于肥胖患者恢复健康的管理方法、设备及可读介质
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CN113889272A (zh) * 2021-09-26 2022-01-04 创启科技(广州)有限公司 一种基于智能体脂秤的健康生活推荐系统
CN113936771B (zh) * 2021-12-17 2022-04-15 北京因数健康科技有限公司 一种健康指标目标的迭代生成方法及装置
CN114937485A (zh) * 2022-07-21 2022-08-23 杭州萤石软件有限公司 一种健身指导的实现方法、装置、系统
CN115410690B (zh) * 2022-11-02 2023-02-10 山东宝德龙健身器材有限公司 一种康复训练信息管理系统及方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1908975A (zh) * 2006-08-10 2007-02-07 中山大学 一种基于人体特征的健康智能管理方法以及健康建议系统
CN103876711A (zh) * 2014-03-27 2014-06-25 北京圣博亚科技有限公司 可穿戴电子设备以及人体健康监测管理系统
CN104537593A (zh) * 2014-12-09 2015-04-22 北京康源互动健康科技有限公司 一种基于云平台的健康运动监控系统及方法
US20150125832A1 (en) * 2012-12-07 2015-05-07 Bao Tran Health monitoring system
CN106709235A (zh) * 2016-11-21 2017-05-24 风跑体育发展（深圳）有限公司 一种运动训练数据处理方法及装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1908975A (zh) * 2006-08-10 2007-02-07 中山大学 一种基于人体特征的健康智能管理方法以及健康建议系统
US20150125832A1 (en) * 2012-12-07 2015-05-07 Bao Tran Health monitoring system
CN103876711A (zh) * 2014-03-27 2014-06-25 北京圣博亚科技有限公司 可穿戴电子设备以及人体健康监测管理系统
CN104537593A (zh) * 2014-12-09 2015-04-22 北京康源互动健康科技有限公司 一种基于云平台的健康运动监控系统及方法
CN106709235A (zh) * 2016-11-21 2017-05-24 风跑体育发展（深圳）有限公司 一种运动训练数据处理方法及装置

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113473901A (zh) * 2019-04-09 2021-10-01 松下知识产权经营株式会社 行动支持系统及行动支持方法
WO2022262747A1 (en) 2021-06-18 2022-12-22 Zepp Inc. Integrative multi-modal computing for personal health navigation
EP4157414A4 (en) * 2021-06-18 2023-11-29 Zepp Inc. INTEGRATED MULTIMODAL CALCULATION FOR INDIVIDUAL HEALTH NAVIGATION
CN116805525A (zh) * 2023-08-21 2023-09-26 营动智能技术(山东)有限公司 一种慢性病信息化管理方法、系统及存储介质
CN116805525B (zh) * 2023-08-21 2023-11-07 营动智能技术(山东)有限公司 一种慢性病信息化管理方法、系统及存储介质

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