TWM525504U - System for managing exercise solutions - Google Patents

Abstract

The present invention provides an exercise management system, including: a sensor unit configured to detect at least one of an exercise volume and an exercise intensity of a user; a receiving unit configured to receive a health goal from the user; and a control unit configured to produce a training plan in a specific period according to the health goal, and manage at least one of the exercise volume and the exercise intensity of the user to achieve the health goal.

Description

Motion management system

The present invention relates to a management system and method for exercise training, and more particularly to a motion management system and method aiming at health planning.

※ Maintaining health is the responsibility of individuals and families

Health is built on three pillars: medical, sports, and healthy lifestyles. The average life expectancy of Taiwanese people is 79 years old (2012), and the healthy life expectancy is 69 years old (2012). It indicates that there is a huge need for medical care expenses for ten years, and it is also a crisis in which health care support cannot continue in the future. The Taiwanese medical system only pays for medication, and it is completely negative about how to promote health with an effective and systematic exercise program. Therefore, it seems that it is not the right direction for doctors to continue to prescribe drugs, to make the people become patients who rely on chronic prescriptions, and to create a situation of "cannot die, but live unhealthy."

※ Pull up the broken chain of "Health Check Red Word" and "Health Target"

At present, the vast majority of Taiwanese people still do not know how to exercise effectively to reduce the three highs, metabolism and anti-aging, and do not know how to pay attention to healthy life management. In the European, American and Japanese medical associations, personalized sports programs have been introduced to treat the above-mentioned health check-ups, but they have not yet been implemented in Taiwan.

Each person's resting heart rate (HR, Heart Rate) is different. According to the data provided by medical experts, the total number of human heart beats in a lifetime is about 10 to the 8th power, which means one. The faster the resting heart rate of an adult, the shorter the life expectancy. Effective exercise can slow down the rest of the heartbeat.

Each person's resting heart rate and maximum heart rate are different, which affects the intensity of exercise during his exercise. If a good person moves to high intensity, the heart rate may jump to 150 beats per minute, but a poor person may have a high-intensity exercise as long as 130 beats per minute. Therefore, the absolute value of the heart rate cannot be used to guide the exercise. .

※ insufficient exercise

The National Health Agency of the Ministry of Health and Welfare announced the latest survey of the Taiwan Sports Map, pointing out that 76% of the country's people are underactive. Insufficient exercise means less than 1.150 minutes per week, moderately laborious physical activity; 2. At least 30 minutes per activity; and 3. "When you sweat, you will breathe." It can be seen that although the Chinese people have the consciousness of sports, they lack the concept of "weekness and intensity of the week" and the systems and methods for good management of effective sports.

※Excessive exercise

Recently, the road has been popular, and many people have begun to challenge the three railways and marathons, but they do not know that these extreme sports are actually harmful to the body without proper training. In particular, attention should be paid to the damage caused to the body by the sudden increase in exercise intensity, and the exercise should be dispersed evenly.

※ Sports elements and heart rate intensity (heartbeat intensity)

Borg Measures

The conscious intensity of exercise refers to the method of digitizing the degree of effort and as a measure of exercise intensity. Any exercise can use exercise conscious intensity to measure the exercise intensity is moderate, many professional athletes are more to replace the heart rate with exercise conscious strength. On the official website of the US Department of Disease Control, the Berg scale is also recommended as a measure of exercise intensity.

There are two calculation methods for the sports consciousness scale. The scale used in the sports world is the Berg scale, which is the scale invented by the Swedish physiologist Gunnar Borg. The calculation method of the Berg scale starts from the 6th level. Level 6 is about equal to 60 beats per minute, level 7 is about 70 times per minute, and so on.

The American College of Sports and Medicine (ACSM) has proposed five elements of effective motion (called MrFit): modality, rate of progression, frequency of frequency, intensity (motion). Strength), time (motion duration). MrFit's design goals can be considered from three aspects: First, to effectively improve physical fitness; Second, reduce the risk of chronic diseases to promote health; Third, to ensure the safety of exercise.

For example, the American Heart Association Recommendations for Physical Activity in Adults, proposed by the American Heart Association (AHA) in 2015, includes this element: a number of weekly goals for maintaining cardiovascular health. Medium-intensity aerobic exercise in 150 minutes, five days of exercise per week, and two medium- and high-strength resistance strength training. To further lower your blood pressure and cholesterol, you should have a medium to high intensity exercise of no less than 120 minutes per week.

Based on each individual's individual interests, health needs and clinical conditions, the sports coach will give personalized motivational advice based on his or her specific needs and conditions. However, the professionalism of the advice given is limited by their own knowledge and experience, and there is no proper method and tool to supervise and manage their subjects and promote the health of their subjects.

Among the various sports elements, heart rate intensity plays an extremely critical role. Heart rate intensity The heart rate reserve (HRR) system is a percentage of heart rate intensity that cuts "resting heart rate to maximum heart rate" into one hundred equal parts. The human heart needs at least a few days a day. Minutes in high intensity, sitting heart rate every day has been maintained at low intensity. It is not good for cardiopulmonary function, just like the car engine. It is not good for the engine to jog in the general road for a long time. Occasionally, it is necessary to drive to the highway and the engine is stronger. Therefore, heart rate intensity is the most important indicator for improving cardiovascular, metabolic capacity, and muscular endurance.

※ Today's wearable device and motion management application (APP)

Some sports elites now use heart rate to measure athletic performance, record the number of steps, paths, distances, speeds, times, calories of wearable devices, and upload data to the cloud server for long-term trend analysis. . However, this product can only be passively recorded. It is not possible to assess specific health goals (such as weight loss, blood pressure lowering) before exercise, and to measure the pre-exercise physiological data and status of the user (Body Mass Index, BMI). ), blood pressure, fatigue, etc., in order to give appropriate exercise volume, intensity, duration of exercise, frequency, exercise pattern recommendations, and can not analyze the exercise data after exercise, and then give exercise advice when the next exercise. The movement can only be managed by the messenger. However, there is a risk of underactivity or excessive exercise and physical injury when exercising autonomously.

There are also some people who use the way of imitating the movement of the film to exercise, but in fact the same movement is different for different people, and people with different diseases or chronic diseases have different sports (such as high blood pressure should be Try to avoid suffocation). Therefore, a glimpse of the imitation may cause sports injuries.

Taiwan Patent No. 201328660 discloses an instant motion guidance system, on the basis of the instant motion guidance system, the entire movement process can be subdivided into four basic components: sprint (no oxygen or acceleration), aerobic endurance (balanced Aerobic endurance), compensation (compensation for oxygen debt) and dynamic recovery. This instant motion guidance system allows users to understand their current physiological status and fitness status changes. The change can then be made by the user to further decide which action to take next (sprint, aerobic endurance and dynamic recovery). The system provides immediate and continuous information that assesses the user's current physiological state during exercise in view of athletic conditions and environmental conditions.

Taiwan Patent No. 201521832 discloses a guided intermittent aerobic exercise system and method for providing a system and method for guiding a user to perform an aerobic exercise in an intermittent medium or high intensity interval.

However, the Taiwan Patent Case 201328660 or the Taiwan Patent Case 201521832 does not set a personalized personalization exercise plan, and through the health goal course, sets the smart management target exercise duration, exercise amount, exercise mode, and exercise intensity to guide each time. Optimize the exercise program to improve the performance of the exercise program.

For the sake of the job, the applicant has overcome the above shortcomings in the light of the lack of knowledge in the prior art, through careful experimentation and research, and a perseverance, to overcome the above shortcomings. The following is a brief description of the case.

Referring to FIG. 1 , the present invention can be targeted to a user's specific health goals (eg, weight loss, blood pressure reduction, etc.), physiological data and health data (age, gender, BMI, blood pressure, medical history, family history, At least one of smoking habits, fatigue, etc., and exercise habits, plan an exercise program (or training program) for a specific period (eg, one week, two weeks, one month, one season, etc.), give appropriate Motion amount, intensity, exercise duration, frequency, motion mode suggestion (such as step S101), detecting and recording relevant motion data during exercise (step S102), and analyzing the motion data after the exercise, and then giving the next exercise The motion suggests and guides, or urges the user to remind the user to work hard to complete the exercise plan (or training plan) (step S103). In other words, the present invention can be based on the health needs of the user. Ask for a personalized exercise program (or training program) tailored to the user and actively manage the user's exercise behavior to help users achieve their health goals in a more efficient and safe manner.

According to a first aspect of the present invention, a motion management system includes: a sensing unit configured to detect at least one of a group of exercise intensity, a motion amount, and a combination thereof; a receiving unit configured to receive a healthy target of the user; and a control unit configured to generate a training plan for a specific period of time according to the health target, and manage the amount of exercise of the user, At least one of a group of exercise intensities and combinations thereof to achieve the training program.

According to another aspect of the present invention, a motion management method is provided, comprising: (a) providing a receiving unit to receive a healthy target of a user; and (b) providing a control unit to generate a training program based on the healthy target (c) providing a sensing unit to detect at least one of a group of exercise intensity, an amount of exercise, and a combination thereof; and (d) managing the amount of exercise of the user, the movement At least one of the groups of strengths and combinations thereof, the user reaches the training program.

According to another aspect of the present invention, a motion management method is provided, comprising: (a) generating a healthy target of a user; (b) generating a training plan for a specific period of time due to a healthy target; and (c) Administering an exercise behavior of the user during the specific period, and the user reaches the training plan.

According to another aspect of the present invention, a management system for a exercise program includes: a sensing unit that detects an exercise intensity within a time interval of a user; and a receiving unit that receives the user at a first a first exercise plan (ES) within the time interval; and a control unit, according to the first exercise plan of the user, and the At least one of a combination of exercise intensity, user's proprioception, user sleep quality, user psychophysiological condition, and user resting heart rate to generate a second exercise plan within a second time interval.

According to another aspect of the present invention, a motion management system includes: a sensing unit that detects an intensity of motion of a user in a time interval; and a receiving unit that receives the first time interval of the user a first exercise intensity target interval; and a control unit, according to the first exercise intensity target interval, and at least one of the combination of the exercise intensity, the proprioception, the sleep quality, the psychophysiological condition, and the resting heart rate a second exercise intensity target interval, wherein the user determines one of the second time intervals of exercise behavior, wherein the exercise intensity includes: heart rate, heart rate intensity, speed, Borg Scale, metabolic equivalent At least one of a group consisting of (MET), maximum oxygen uptake (VO _2max ), power, and respiratory rate.

According to another aspect of the present invention, a method of managing a exercise program includes the steps of: (a) detecting an exercise intensity of a user; and (b) receiving a first exercise within a last time interval And (c) generating a second exercise plan within a next time interval based on the exercise intensity of the user and the first exercise plan.

S101-S103‧‧‧Steps in the exercise management method

200‧‧‧Users

201‧‧‧Physical data

202‧‧‧Health Target

203‧‧‧Health Information

204‧‧‧ receiving unit

205‧‧‧Control unit

206‧‧‧Guide unit

207‧‧‧Sensor unit

600‧‧‧Use the device to remind the management system of the exercise program

601‧‧‧Sports Management App

602‧‧‧User-provided parameters

603‧‧‧ User's heartbeat

604‧‧‧Cloud Server

605‧‧‧ comparator

700-704‧‧‧Sports Management Square

S801-S803‧‧‧Steps in the exercise management method

12a-12g‧‧‧Sports Programme Health Promotion Internet of Things

1 is a block diagram of a motion management method according to an embodiment of the present invention; FIG. 2 is a block diagram of motion management according to an embodiment of the present invention; and FIG. 3 is a motion management according to an embodiment of the present invention. Steps of the method; FIG. 4 is a schematic diagram of an initial exercise intensity level according to an embodiment of the present invention; 5 is a schematic diagram of an equation of motion according to an embodiment of the present invention; FIG. 6 is a management system of an exercise scheme according to an embodiment of the present invention; and FIG. 7 is a motion management method according to an embodiment of the present invention. Figure 8 is a diagram showing the steps of a motion management method according to an embodiment of the present invention; Figure 9 is an update of the motion scheme suggestion according to an embodiment of the present invention; and Figure 10 is a motion management course participating in the present invention. The exercise intensity record table of the student; FIG. 11 is a schematic diagram showing the stepwise improvement of the exercise intensity of the students participating in the exercise management course of the present invention; and FIG. 12 is a cycle diagram of the health promotion Internet of things according to the exercise program of the present invention;

The invention utilizes a wearable device or a cloud system plan to generate motion intensity, exercise duration, exercise amount, exercise frequency, and exercise mode according to at least one of a user's physiological data, physical condition, family medical history, medical history, health goal, exercise habit, and the like. Wait for at least one parameter of the training program. The invention can guide the user to move a small amount of meals and intensity in a step-by-step manner, and achieve the health goal safely and efficiently.

In addition, the present invention can analyze whether the user adapts to the recommended exercise intensity, compared to the actual exercise intensity at the time of the exercise and the motion intensity recommended by the system, and the proprioception and physiological mental condition of the user after the exercise. Give the next exercise intensity recommendation.

The present invention will be fully understood by the following examples, so that those skilled in the art can do so. However, the implementation of the present invention may not be limited by the following embodiments. Where the same reference numerals always represent the same components.

First embodiment

Referring to FIG. 2, the motion management system of the present invention uploads the following data provided by the user 200: the physiological data 201, the health target 202, and the health data 203 to the control unit 205 via the receiving unit 204, and the control unit 205 will The data plan user's training plan, and guides the user to complete the training plan to achieve a health goal through the guiding unit 206, wherein the sensing unit 207 can detect and record relevant motion data to provide the user when the user moves. The control unit 205 is used to manage and analyze the motion state of the user, and the receiving unit 204 can also receive data such as the exercise intensity provided by the user after a certain exercise (for example, a Borg Scale, a metabolic equivalent ( MET), maximum oxygen uptake (VO _2max )) is provided by control unit 205 to manage and analyze the user's motion state. Referring to FIG. 3, in short, the motion management system of the present invention includes the following four steps: Step S301: providing a receiving unit to receive a user's health goal; Step S302: providing a control unit to generate a training meter according to the health goal Drawing S303: providing a sensing unit to detect at least one of a group consisting of a user's exercise intensity, exercise amount, and a combination thereof; and step S304: managing the user's exercise amount, exercise intensity, and combinations thereof At least one of the groups, the user reaches the training plan.

Before the initial movement, the motion management system of the present invention does not have any movement records of the user. Therefore, the user must complete three items: 1. input physiological data; 2. input health information; and 3. input health goals. .

With regard to items 1 and 2 above, the user first inputs the automatic physiological data (eg gender, BMI, age, weight, height, body fat, blood pressure, waist circumference, resting heart rate, etc.) into the computer (or application). Program (APP) or smart watch or other receiving device) (such as receiving unit 204 in Figure 2), and fill in the health information to let the system know the user's health status (ill History, family history, smoking, exercise habits, etc.), the health data section refers to the American College of Sports and Medicine (ACSM) recommended physical activity self-assessment questionnaire (Physical Activity Readiness Questionnaire, PAR- Q).

In order to reduce the risk of participating in physical activity, the ACSM recommends that all those who are planning to start a physical activity program should first use the assessment tool such as the Physical Activity Self-Assessment Questionnaire (PAR-Q) to report their medical records and health risks themselves. Health review. In fact, the purpose of the pre-exercise health check is to identify all participants who know and do not know that they have cardiovascular risk, so that they have the opportunity to undergo further medical evaluation before starting exercise training, and thus determine them. Can participate in sports or only what level of exercise training.

Next, the control unit 205 generates a target zone according to the physiological data and the health data input by the user. Referring to FIG. 4, the motion management system of the present invention distinguishes three physical fitness levels (divided into low, medium, and high physical fitness levels) and target ranges of 12 different intensities. The low, medium and high physical fitness levels represent Low Risk, Mid Risk and High Risk, respectively, and are divided into 8 grades L1, L2, M1 and M2. M3, M4, H1, and H2 (where L1 and L2 are Low risk; M1, M2, M3, and M4 are Mid risk; H1 and H2 are High Risk), respectively, corresponding to seven target zones. After the physiological data is input and the health data is filled in, the above information is uploaded to the cloud server (such as the control unit 205 of FIG. 2), and the cloud server evaluates the fitness level according to the result filled by the user, and gives an initial Target zone and duration of exercise (eg for users with normal exercise habits and no other medical history, the results of the system assessment may be: fitness level is low risk, target interval 10 and exercise duration 5 minutes) ), through the wearable device (or APP or other display device or handheld device) (such as the guiding unit 206 of FIG. 2) to guide the initial exercise intensity and the amount of exercise of the user, and the cloud server is based on at least a group consisting of the user's physiological data, health data, initial exercise intensity, and exercise amount. One provides pre-training considerations for the user via the wearable device to guide the user to achieve the target interval. The receiving unit 204 and the guiding unit 206 of FIG. 2 may also be the same device, and have the functions of receiving and guiding (or displaying) (such as an APP or a mobile phone or other handheld device).

In general, the embodiments described in the present invention may be implemented by a mobile application (APP) or a computer software, or may be implemented by hardware, or by a combination of software and hardware. . The hardware may include, but is not limited to, the following: a desktop computer with communication capability, a mobile phone (mobile phone), a personal digital assistant (PDAs) with wireless communication capability, a portable computer with wireless communication capability, and A gaming device with wireless communication capabilities, an internet device that allows wireless internet access and browsing, and a portable device or terminal that includes a combination of such functions.

The target zone can be defined as the interval in which the target exercise intensity is located during exercise. The exercise intensity unit can be calories/minute, calories/hour, calorie/day, metabolic equivalent of task (MET), Watt (or Joules/sec, Joules/Minutes, Joules/hours, Joules/days), kilometers/minutes, kilometers/hours, kilometers/days, miles/minutes, miles/hours, miles/days, meters/meters/ Seconds, meters per minute, meters per hour, meters per day, feet per second, feet per minute, feet per hour, feet per day, heart rate intensity, heart rate, speed, maximal oxygen uptake (VO) _2max ), respiratory rate and Berg scale....etc. or other units that indicate exercise intensity.

If the exercise intensity is taken as an example of heart rate intensity, in the heart rate reserve (HRR) heart rate calculation system, if the target heart rate intensity is 80%, the target interval can be set to 70%-90% when the user's The exercise intensity falls between 70% and 90%, and the control unit 205 considers that the target is reached. In general, the heart rate intensity in the high-intensity target interval is between 60% and 80%, and the heart rate intensity in the medium-intensity target interval is between 40% and 60%. The heart rate intensity algorithm is as follows (1) and (2): heart rate intensity = [(current heart rate - resting heart rate) / (maximum heart rate - resting heart rate)] × 100% (1)

Maximum heart rate = 220 - fitness age (2)

Among them, the heart rate intensity ≠ heart rate absolute value ≠ speed, and the heart rate value detection can be obtained through the heart rate belt or other sensing device.

Heart rate intensity has a variety of different algorithms, and the heart rate intensity of the present invention summarizes all heart rate strength algorithms. The different convertible units describing the heartbeat strength are %HRmax, %HR Reserve, %VO2max, %VO2 Reserve, and so on. (Reference: “Relationship between %HRmax, %HRR, %VO2max, %VO2Reserve in elite cyclists.”; Website: http://www.ncbi.nlm.nih.gov/pubmed/17277600)

In other algorithms (%HRmax), heart rate intensity = (down heart rate) / (maximum heart rate) × 100% (1)

Maximum heart rate = 220 - fitness age (2)

The heart rate belt is a transmitter. The heart rate belt has two conductive rubber electrodes for detecting the ECG signal. The signal is read by the single-chip microcomputer through the amplification and filtering circuit inside the heart rate belt. Whenever the ECG signal is greater than a threshold, the MCU will push a letter in the working frequency band at 5.3khz. No. generator, emits a pulse. Record the time interval between two pulses (usually a few milliseconds) and get the heart rate after the operation. In addition, the pulse frequency is measured optically, and in many cases, it is often regarded as the "heart rate" equivalent message.

As can be seen from the example in Table 1 below, the physical fitness age, resting heart rate, and maximum heart rate of Zhiming and Chunjiao are different. Even if the current heart rate is 150, the exercise intensity for Zhiming is 82%, but for Chunjiao. The exercise intensity is 74%.

Therefore, the motion management system of the present invention can tailor the target range of the appropriate exercise intensity (ie, its own equation of motion) to different users, and help the user to move in a more efficient and safe manner. Please refer to the motion equation in Figure 5. The system recommends the user to change the heart rate during the 19-minute exercise, allowing the user to start the exercise in a step-by-step manner, from 40% of heart rate to 60%, and then to 80. %, then drop back to 40%, where the target exercise intensity is the highest 80% in the figure, and the target range can be set to 70%-90%.

In addition to calculating the initial target interval of the user, the cloud server generates a specific period (for example, one week, two weeks, one month, one season, etc.) according to the user's health goal and health physiological data. A training program. Entering health goals (lowering blood pressure, lowering blood fat, lowering blood sugar, lowering body fat, thin waist circumference, reducing weight, improving osteoporosis, improving infertility, improving Bajin sputum, anti-depression or improving physical health indicators, etc.) Thereafter, the cloud server of the motion management system of the present invention will plan and manage the following training programs for a specific period according to different health goals: total exercise calories, daily exercise calories, daily exercise intensity and exercise duration, total, High-intensity exercise duration, daily calorie diet, exercise mode (aerobic exercise, intermittent exercise, Resistance Strength Training (RST) (such as muscle resistance training) or softness (Flexibility) and exercise frequency, etc. Any item and provide considerations for user training. During the movement of the user, the exercise data such as the exercise intensity and the amount of exercise (or the duration of the exercise) can be transmitted to the cloud server through the sensor (such as the sensing unit 207 of FIG. 2) (such as the control of FIG. 2). The unit 205) manages the user's exercise intensity, amount of exercise, and exercise mode via the cloud server. In addition, the computer (or an application (APP) or a smart watch or other receiving device) (such as the receiving unit 204 of FIG. 2) can also receive data such as the intensity of the exercise provided by the user after a certain exercise (for example: The Borg scale or metabolic equivalent (MET) or maximal oxygen uptake (VO _2max ) is used by the cloud server to manage and analyze the user's motion state. In addition, the cloud server can also generate video and audio information related to the health target (or exercise intensity or sports equipment), and through the wearable device (or APP or other display device or handheld device) (such as the guiding unit 206 of FIG. 2) To guide the user to perform the training program. The cloud server generates a plurality of parameter setting ranges according to the training plan, and the parameters about the exercise amount, the exercise intensity, and the exercise time can be set according to the following units: the heart rate, the heart rate intensity, the speed, and the Berg scale. , MET, VO _2max , minute and heart rate intensity, hour and heart rate intensity, day and heart rate intensity, week and heart rate intensity, minutes and speed, hour and speed, day and speed, week and speed, minute and Borg scale Table), hour and Borg scale, minutes and MET, hours and MET, seconds and VO _2max, minutes and VO _2max , hours and VO _2max , days and VO _2max , Watt and seconds, Watt and minutes, Watt and hours, Watt and Days, calories and heart rate intensity, calories/minutes, calories/hours, calories/days, calories/weeks, seconds, minutes, hours, days, weeks, calories, kilometers, miles, meters, feet (or other means of exercise, Exercise intensity, parameters of exercise time)...etc. After that, the cloud server starts to accumulate the values input by the receiving device, the wearable device, etc. at different times and calculate. If the calculation result does not reach the threshold or the target range, the insufficiency time, intensity, amount of exercise, etc. will be passed through the wearable device (or The APP or other display device or handheld device (such as the guiding unit 206 of FIG. 2) reminds the user that it is necessary to improve the execution force for the insufficient places, or to lower the execution force for the excessively high places, or to continue the training, Supervise and care for users to reach the training program.

The amount of exercise for a given period of time can be expressed in the following units: calories per day, calories per week, joules per day, joules per week, kilometers per day, kilometers per week, miles per day, miles per week, meters per day, Metric/weekly, foot/day, foot/week, heart rate (strength) x minutes/day (or how many minutes per day above a heart rate (strength)), heart rate (strength) x hour/day (or How many hours are maintained above a certain heart rate (intensity), heart rate (strength) × minutes / week (or how many minutes per week above a heart rate (strength)), heart rate (strength) × hour / week (or Is how many hours per week above a certain heart rate (intensity), VO _2max × minute / day, VO _2max × hour / day, VO _2max × minute / week, VO _2max × hour / week, Watt × second, Watt × minutes and Watt × hours...etc. or other units that can indicate the amount of exercise.

The following is a practical example of the motion management system of the present invention.

For example, to lower blood pressure as a health goal, the following suggestions and reminders will be generated:

● ACSM and the American College of Cardiology (AHA) recommend Aerobic Interval Training (AIT) for non-pharmacological prevention or treatment of hypertension.

●The mode of exercise is mainly aerobic exercise, such as fast walking, jogging, exercise bike, etc. Can be matched with muscle Force resistance training (RST), training large muscle groups, especially the lower limbs.

● Suggested weekly exercise volume: 1000 cards, recommended mid-week, high-intensity exercise time: 150 minutes.

● Suggested initial AIT exercise intensity target range: 10%~20%.

● Suggested initial RST exercise intensity target range: 10%~20% (available at the station, sandbags, legs, sitting, about 2-3 times a week; rest for 3 days after each execution and then perform RST).

Pass the warning:

● Hypertensive patients may have potential cardiovascular disease, so pay attention to pain or discomfort during exercise. If not, stop exercising.

● Taking a blood pressure lowering drug such as a beta antagonist may reduce the heart rate response, so the exercise regimen recommends no more than a moderate intensity of 40-60% HRR. Consult a physician before using a high intensity regimen.

●Pre-exercise systolic blood pressure>200mmHg or diastolic blood pressure>115mmHg Do not exercise.

● Taboo weight training or hernia behavior may cause blood pressure to rise.

● Use knee pads for users above a certain age or overweight.

For example, with hypolipidemic as a health goal, the following suggestions and reminders will be generated:

● ACSM recommends aerobic intermittent exercise (AIT), supplemented by muscle resistance training (RST) cross training. Muscle resistance training (RST) training is based on large muscle groups, especially the lower limbs.

● Suggested initial AIT exercise intensity target range: 40%~60% HRR.

● Suggested initial RST exercise intensity target range: 25%~45% HRR (available at the station, sandbags, legs, sitting, about 2-3 times a week; rest after each execution for 3 days and then perform RST)

● Suggested weekly exercise volume: 1500 cards, recommended mid-week, high-intensity exercise time: 150 minutes.

Pass the warning:

● Patients with hyperlipidemia may have potential cardiovascular disease, so pay attention to pain or discomfort during exercise. If not, stop exercising.

● Taking hypolipidemic drugs may cause myositis. If you have muscle weakness or abnormal pain during exercise, please seek medical attention.

●Please consult your healthcare provider for the amount of BMI<18 per week.

● Use knee pads for users above a certain age or overweight.

In addition to effective exercise intensity and duration of exercise, the choice of Modality and sports venues is also important. Regarding the choice of exercise mode, exercise mode is very important for health goals. For example, when athletes want to pursue cardiovascular health to improve high blood pressure, doctors or trainers will recommend "mainly aerobic exercise" and focus on "lower limbs and large muscle groups." Training, and it is recommended to use the metropolitan area treadmill, exercise bike, aerobic playground, runway, etc.; because the upper limbs or excessive weight training (anaerobic exercise) will cause the athlete's blood pressure to rise suddenly, bringing health risk. Similarly, if middle-aged athletes want to prevent "slim muscle disease" and "type 2 diabetes", it is recommended to train muscle growth as a health goal. The exercise mode must focus on muscle endurance training instead of aerobic training. .

With regard to the choice of sports venues, the convenience and availability of sports venues often cause modern people who have no time to exercise effectively. However, in addition to professional gymnasiums and outdoor sports venues, there are more individuals in the streets. Studio, personal fitness equipment, and willing health sports sharers. Therefore, based on the above reasons, personal health goals, related exercise demand, related exercise intensity requirements, related exercise time requirements, related sports mode needs, sports venue demand, exercise time, relatively reasonable expenses, etc. should all be in a platform media. Hehe.

Therefore, complete healthy exercise management, in addition to effective exercise intensity and duration of exercise, should include appropriate selection and recommendation of exercise patterns, such as personal location (such as residence, workplace, outing location) and nearby "health target" sports mode. Equipment required (such as metropolitan area treadmills, exercise bikes, aerobic playgrounds, runways, etc.) and possible trainers.

The motion management system of the present invention can also complete the following procedures through the Internet of Things and satellite positioning:

a. The user inputs personal physiological data, health data, health goals, and convenient exercise time (or planned exercise time). (As received by receiving unit 204 of Fig. 2)

b. Upload data to the cloud server via the Internet of Things. The cloud server first calculates the optimal motion mode, duration of exercise, amount of exercise and intensity of exercise, and transmits it to a personal handheld device (such as a smart phone) (eg, 2nd) The guiding unit 206 of the figure provides a message to the user, and then searches for a sports venue or trainer who meets the above conditions near the location through the personal handheld device and completes the match.

c. Auxiliary recording (such as an app of a smart phone) via a personal handheld device to accurately complete the exercise process and upload relevant sports data to the cloud server via the Internet of Things to accumulate the amount of healthy exercise, exercise intensity and exercise duration, and provide the next time The movement is recommended to the user.

d. The individual uses the handheld device to share the exercise process and results through the social networking website on the Internet of Things to enhance the motivation of the exercise. The receiving unit 204 and the guiding unit 206 of FIG. 2 may also be the same device, and have the functions of receiving and guiding (or displaying) (such as an APP or a mobile phone or other handheld device).

If the system can recommend a user who wants to improve high blood pressure, he will be trained in the large muscles of the lower extremities in the gym near his home.

Second embodiment

The exercise management system of the present invention is based on the actual intensity produced after the last exercise (the intensity unit can be heart rate, heart rate intensity, speed, maximum oxygen uptake, Berg scale, metabolic equivalent, respiratory rate, etc. ), compared with the last recommended exercise program, calculate its compliance, recovery ability, and how the user feels about the movement after exercise, and the current mental state of the user before the next exercise (including rest) Heart rate, sleep quality, physical fatigue, mental and physical conditions, etc., produce the next exercise plan.

The aforementioned proprioception is the invention of the present invention, similar to the pain index, and the overall exercise score is scored by the user's own feeling after exercise, and can be divided into relaxed, a little asthma, and very asthmatic. If it is easy, on behalf of the user's athletic ability is higher than the required capacity of the sport, the system recommends that the second exercise program may increase the exercise intensity; if it is a little asthma, the user's exercise ability is equivalent to the ability required by the exercise. The exercise intensity of the second exercise plan recommended by the system may not change; otherwise, if it is very asthmatic, the exercise intensity of the second exercise plan suggested by the system may decrease.

Referring to FIG. 6, a management system 600 of an exercise solution (Exercise Solution, ES) according to an embodiment of the present invention includes a motion management mobile application (APP) 601, a parameter 602 provided by a user, and a certain use. The heart rate 603, the cloud server 604, and the comparator 605. In some cases, management system 600 can also be integrated into a single set of devices, not limited to a decentralized system.

The motion management APP 601 receives the first exercise plan (ES1) and the exercise record (ER) from the user (including: the heart rate 603 during the last exercise, to And the parameter 602 provided by the user (such as the proprioception after the last exercise)). Subsequently, the motion management APP 601 uploads the above data to the cloud server 604 via a wireless network or other medium. Before the next exercise, the parameters 602 provided by the user, such as rest heart rate, previous night sleep quality, fatigue, mental health status, etc., are transmitted to the exercise management APP 601 and then uploaded to the ER, the comparator in the cloud server 604. The 605 will further plan the user's next exercise plan (ES2) based on the last exercise plan (ES1) and all the information received by the ER. The sports management APP 601 can instantly obtain the information of the next exercise program (ES2), and guides the user's exercise behavior through a device, thereby adjusting one of the groups of exercise amount, exercise intensity and combination. In some cases, the motion management APP 601 can also perform the guiding work of the device; however, the device and the motion management APP 601 can also be independent of each other. However, in some examples, in addition to software, component 601 can be implemented in a hardware manner, such as a wearable device, a computer, a sports facility fitness equipment, a treadmill, a skid, a flywheel, and the like.

In other examples, as long as the motion management APP 601 receives one of the groups of the user's exercise amount, exercise intensity, and combination, even if the comparator 605 does not plan a motion plan for the user, the management system 600 can still accumulate one of the groups consisting of weekly exercise volume, intensity and combination, and manage it.

Please refer to FIG. 7, which is a block diagram of weekly motion management performed in accordance with an embodiment of the present invention. In block 700, a user enters a health goal, such as lowering blood pressure, lowering blood fat, lowering blood sugar, lowering body fat, thinning waist, reducing weight, improving infertility, improving Bark's disease, improving osteoporosis, and anti-depression. Or improve the needs of physical health indicators and so on.

In other examples, in block 700, the user may also input or automatically input physiological and health data by the device, wherein the physiological data and the health information are A group consisting of the user's basic physiological data, gender, age, resting heart rate, weight, height, BMI, waist circumference, blood pressure, blood sugar, blood lipids, body fat, medical history, family history, smoking, health information, and exercise habits At least one of the groups.

In block 701, the first control unit plans, manages, and generates the current exercise plan (ES1) for one of the groups of the amount of exercise, exercise intensity, and combination of the week, and in other cases, The first control unit may also perform motion management for other specific times, and the time unit may be daily, monthly, quarterly, semi-annual, or any specific time period specified by the user; in block 702, the user is guided. Perform each exercise volume and exercise intensity.

In block 703, based on the motion record of block 702, the second control unit causes the next exercise plan (ES2) to be generated and returns to block 701 and block 704. It also returns the amount of exercise and exercise intensity actually performed by the user to block 701.

In block 704, the user may determine the next exercise behavior based on information about the target interval in the next exercise plan (ES2), such as increasing, maintaining, or slowing the exercise intensity.

Please refer to FIG. 8 , which is a flow chart of steps of a motion management method according to an embodiment of the present invention. Step S801 detects motion intensity of a user in a time interval, such as heart rate, heart rate intensity, and maximum oxygen uptake. The amount of time (maximal oxygen uptake, VO _2max ), respiratory rate, Watt, and speed of motion, etc., may be in milliseconds, seconds, minutes, or depending on the application.

Step S802 receives a first target interval of the user.

Step S803, according to the exercise intensity of the user, in the first time interval The first target interval is to generate a second target interval, and the user determines one of the motion behaviors in a second time interval. This target interval is an intensity interval.

Please refer to Fig. 9, which is a motion plan proposal according to an embodiment of the present invention, which proposes to update a later exercise plan, the intensity interval of which may be raised, flattened or lowered. Please also refer to Figure 6. For users who are not using the motion management APP 601 for the first time, the comparator 605 will determine the update of the ES based on the last exercise plan (ES1) and the final exercise record (ER). For example, if the user's previous achievement rate is good, and the sleep quality and fatigue are better, the comparator 605 will determine that the next exercise program (ES2) can be upgraded by one level, such as strengthening the intensity interval by 5%. Amplitude.

Conversely, if the user's previous achievement rate is poor, and the sleep quality and fatigue are also poor, and the resting heart rate is increased, the comparator 605 will determine that the next exercise program (ES2) can be lowered by one level, such as reducing it. Intensity interval.

If the user feels that his sleep quality and fatigue are poor, the comparator 605 will determine that the next exercise program (ES2) should be lowered to avoid the risk.

In other cases, comparator 605 will maintain the same next exercise plan (ES2), ie ES2 = ES1.

In this example, a single target target zone can be used to achieve the rate. The achievement rate of the single-motion target interval is y/x *100%, and x corresponds to the exercise time of the target interval in the last exercise plan (ES1), and y corresponds to the sensing unit. The measured exercise intensity of the user is not lower than the actual exercise time of the target interval.

In other examples, medium and high intensity interval achievement rates (HRR) can also be used. 40%~60%), calculated as follows:

■The time recommended for the exercise program is not less than 40%~60% of the HRR time x

■ Actually ran out of the time of no less than 40% to 60% of the HRR

■Medium and high intensity interval achievement rate = y / x * 100%

The results of the exercise program can also be evaluated in a variety of ways, such as a single exercise recovery rate, a proprioception after a single exercise program, or a resting heart rate.

The single motion recovery rate, which is defined as the recovery efficiency of the motion intensity measured by the sensing unit after reaching a single motion target interval, can be expressed by the following formula:

●The average heart rate intensity Ia for the last 20 seconds before the end of exercise

If the target zone achievement rate is >=25%

Ia>= suggested last interval intensity +10%

=> Poor recovery rate for this exercise

If the target zone achievement rate is >=25%

Suggested final interval intensity +10%>Ia>=recommended last interval intensity

=> General recovery rate for this exercise

If the target zone achievement rate is >=25%

Recommended final interval strength > Ia

=> Better recovery rate for this sports

In other examples of the present invention, the next exercise program (ES2) can be achieved by a single target target zone, a medium, high intensity interval achievement rate, a single motion recovery rate, and post-exercise proprioception. The quality of sleep, fatigue, and mental and physical conditions before the next exercise will determine whether the strength of ES2 recommendation will rise or fall.

The motion plan generated by the present invention, the proposed exercise intensity target interval will be The ladder moves up and down; in the long run, the user's physical fitness will gradually improve, and the recommended exercise intensity target range will show an upward trend.

The motion management system of the present invention records and manages each of the user's exercise amount, exercise time, intensity, and exercise mode (aerobic exercise, intermittent exercise, muscle strength training, or softness exercise and one of the groups) And refer to the health goals and physical health information selected by the user at the beginning, and give the user the exercise supervision and care in time to remind the user to complete the exercise suggestions; among them, the way to supervise and care for the user may include congratulations, warnings, reminders or Supervise users to provide suggestions on user movement, diet, and lifestyle. The invention aims to help the user to achieve the amount of exercise, exercise intensity and exercise mode in a period of time in a systematic and scientific manner.

The back-end care management module of the motion management system of the present invention allows the user or the controller to set a plurality of different parameters and their respective threshold ranges, and sets the smart engine when a certain parameter meets (equal to, greater than or less than) A certain threshold range will send a message to the user. Parameters can include: recommended weekly exercise volume, actual exercise volume this week, actual exercise volume last week, actual exercise volume ranking last week, mid-week, high-intensity achievement rate, this week's exercise volume achievement rate, this week's exercise volume achievement rate ranking, systolic blood pressure, diastolic Pressure, body weight, body fat, resting heart rate, waist circumference, single exercise calorie, maximum intensity of single exercise, maximum intensity of recommended exercise program, target interval achievement rate of single exercise program, single exercise plan, high intensity achievement rate, single exercise plan Exercise recovery rate, proprioception after completion of a single exercise program, blood type dynamic balance (lactic acid homeostasis), heart rate, heart rate intensity, speed, etc.

Please also refer to Figure 10, Figure 11, and Table 2. Figure 10 is a motion intensity record of the participants participating in the exercise management course of the present invention; Figure 11 is a schematic diagram showing the stepwise improvement of the exercise intensity of the participants participating in the exercise management course of the present invention; Table 2 is the exercise participating in the present invention. tube The 14 students of the system, the actual effectiveness of their sports program planning courses.

In Table 2, the total number of people participating in the sports management course is 14 and 2 people are withdrawn from the middle. If they do not follow the rules, they will be deleted when calculating the sample: 1 person. The number of valid samples: 11 people. The sports management program lasted for 6 weeks, and no dietitian involved, only verbally told the students not to eat and drink. It can be found that the intensity of the target interval movement of the participants in the sports management course does show a stepwise improvement. And through the exercise management course of the present invention, the student's Lipid Profile has been significantly improved, confirming that the exercise management system of the present invention can indeed promote health.

Referring to Fig. 11, it can be seen that the present invention is particularly suitable for a variety of different physical fitness, and the target interval exercise intensity can be upgraded in a class manner, and more evidence is as follows.

Accurate exercise, intensity, and mode of exercise training have been clinically proven to be effective in a variety of chronic diseases such as cardiovascular, heart, cerebrovascular, carotid atherosclerosis, hypolipidemic, and insulin sensitivity in diabetes.

Physiological studies have found that students who participate in the classroom have a higher intensity than the specific intensity, such as 60-80% HRR, or the maximum heart rate, speed, VO _2max maximal oxygen uptake, metabolic equivalent, and Berg scale of the same intensity. Post-granular gland function, oxygenation capacity, and endothelial cells can be improved and significantly superior to traditional exercise. Moreover, through the evaluation of the original physical and physiological conditions, the general trainees can accept the lower training interval, and gradually improve the exercise interval and supplement the actual physical reaction ability evaluation, for example: A: heart rate, breathing, proprioception, and improvement achievement rate; B: student After the exercise intensity is reached, the body can quickly recover. For example, the exercise interval is reduced from 60-80% HRR quickly (such as a few seconds or minutes) to below 40% HRR, or immediately after the exercise interval is stopped, and then the trainee's heart rate or strength returns to normal. Speed: C: After the end of the training interval, the most ideal is a little breathing. If it is too asthmatic, it means that the exercise interval is set too high. On the contrary, it may mean that the exercise interval is too low; D: The resting heart rate on the day of exercise is also fine-tuned. The important basis is that when the student's resting heart rate on the day is 8-30 times/minute higher than yesterday, it means that the body has not recovered yet, so today it is impossible to use the same exercise interval, but to reduce the exercise interval or stop training; E: physical state on the day of exercise Or respiratory rate, basal body temperature, and the quality of sleep the day before yesterday may also affect today's curriculum training area It can be adjusted if necessary.

At present, clinical research has also found that the precise exercise control of a certain amount of exercise, intensity, and mode of exercise training can produce reshaping effects and new adaptability, improve some physiological indicators of students, and improve blood pressure, blood sugar, and blood lipids.

Molecular medical research has found that the precise exercise control of a certain amount of exercise, intensity, and mode of exercise training can effectively improve the physiological metabolic adaptability of skeletal muscle, myocardium, and other smooth muscles, mainly through the promotion of peroxisome-proliferator activated receptor γ coactivator (PGC). ) Activity of -1α. PGC-1α is considered to be the muscle glandular body leader, while the granular gland represents muscle vitality and performance. The evidence shows that the exercise training interval of precise control of a certain amount of exercise, intensity, and mode can activate human muscle PGC-1α, and can exercise PGC-1α in serum after exercise interval. The outstanding performance of mRNA is proved.

In addition, the exercise training interval of precise control of a certain amount of exercise, intensity, and mode found that 5'-AMP-activated protein kinase (AMPK) and p38 mitogen-activated protein kinase (MAPK) can be activated. These two physiological messages have been shown to activate PGC-1α. The latter, in turn, can co-activate transcription factors (TF) to increase the transcription of the glandular gland gene, thereby increasing the production of more glandular glands. These phenomena are currently thought to come from the exercise control interval of precise control of a certain amount of exercise, intensity, and mode, resulting in ATP: ADP/AMP ratio in the intramuscular cells and simultaneous activation of 5'-adenosine monophosphate-activated protein kinase (AMPK).

It was also found that activation of p38 mitogen-activated protein kinase (MAPK) and increase in active oxide (ROS) concentrations were also associated.

Experiments have shown that the precise exercise control of a certain amount of exercise, intensity, and mode of exercise training can even increase PGC-1 by 100%. In addition, muscle cells absorb glucose, anti-oxidation, anti-muscle atrophy, and antioxidant capacity.

Please refer to FIG. 6 and FIG. 12 at the same time; a cycle diagram of the health promotion Internet of Things according to the exercise program of the present invention, wherein in step 12a, the input or the device automatically uploads the physiological health data; in step 12b, Performing a physical fitness assessment of the user and dividing into high, medium, and low physical fitness levels; in step 12c, performing a motion plan (training, exercise program) recommendation generation; and in step 12d, guiding user motion In step 12e, the result analysis feedback is performed according to the previous motion; in step 12f, the motion management system performs motion supervision and care; finally, in step 12g, the motion management system will give the user life in a timely manner. Morphological analysis and recommendations. In summary, the motion management system according to the present invention can make the user's health and exercise tube It is related to the positive cycle and achieves substantial benefits through care and tracking.

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Example

A motion management system comprising: a sensing unit configured to detect at least one of a group of exercise intensity, a motion amount, and a combination thereof; a receiving unit configured to Receiving a health goal of the user; and a control unit configured to generate a training plan for a specific period of time according to the health goal, and managing the amount of exercise, the exercise intensity, and combinations thereof of the user At least one of the groups to achieve the training program.

2. The exercise management system of embodiment 1, wherein the exercise intensity is heart rate, heart rate intensity, speed, respiratory rate, Borg Scale, maximum oxygen uptake (VO _2max ), power, and metabolic equivalent. At least one of the groups consisting of (MET).

3. The motion management system of embodiment 1-2, wherein the control unit is further configured to manage a motion mode of the user according to the health goal, and the motion mode is an aerobic exercise, an intermittent exercise, At least one of a group consisting of a muscle strength training and a softness exercise.

4. The exercise management system according to any one of embodiments 1 to 3, wherein the health goal is lowering blood pressure, lowering blood fat, lowering body fat, lowering blood sugar, thin waist circumference, reducing weight, improving osteoporosis, and improving infertility. At least one of the group consisting of a syndrome, an improvement in the symptoms of phlegm, anti-depression, and improvement in physical health.

5. The motion management system of embodiments 1 to 4, further comprising a navigation unit configured to receive an alert message of the control unit to guide the user to the training plan.

6. The motion management system of embodiments 1-5, wherein the control unit is further configured to generate a target range of at least one set of parameters according to the training plan, the at least one set of parameters being time, heart rate, heart rate strength , speed, Borg scale, metabolic equivalent (MET), maximal oxygen uptake (VO _2max ), power, respiratory rate, calories/time, work/time, time and heart rate, time and heart rate intensity, time And at least one of a group consisting of speed, time, and Berg scale, time and metabolic equivalent, time and maximum oxygen uptake, time and power, time and respiratory rate, heat, distance, and work.

7. The motion management system of any of embodiments 1-6, wherein the control unit is further configured to transmit the reminder message to the guiding unit according to the target range to guide the user to achieve the target range.

8. The motion management system of any of embodiments 1-7, wherein the receiving unit is further configured to receive a physiological data of the user and a health data, wherein the physiological data and the content of the health data comprise the user At least one of a group consisting of basic physiological data, gender, age, resting heart rate, weight, height, BMI, waist circumference, blood pressure, blood sugar, blood lipids, body fat, medical history, family history, smoking, and exercise habits.

9. The motion management system of embodiments 1-8, wherein the control unit is further configured to generate a target interval based on at least one of the group consisting of the physiological data, the health data, and combinations thereof.

10. The motion management system of embodiments 1-9, wherein the target interval is an interval including a target exercise intensity.

11. The motion management system of embodiment 1 to 10, wherein the control unit is further configured to transmit the reminder message to the guiding unit according to the target interval to guide the user to reach the target interval.

12. The motion management system of any of embodiments 1-11, wherein the control unit is further configured to transmit the at least one of the group consisting of the physiological data, the health data, the exercise intensity, and the amount of exercise. A reminder message is sent to the guiding unit to remind the user of a precaution.

13. The motion management system of any of embodiments 1 to 12, wherein the receiving unit is further configured to receive a planned exercise time of the user, and the control unit is based on the health target, the physiological data, the health data And at least one of the group consisting of the planned exercise time, generating at least one of a group consisting of a suggested exercise mode, a recommended exercise duration, a recommended exercise intensity, and a suggested exercise amount, and searching At least one of a group of suitable sports venues, a trainer, and a combination thereof, and transmitting the information to the user via the guiding unit.

14. A method of motion management comprising: (a) providing a receiving unit to receive a healthy target of a user; (b) providing a control unit to generate a training plan based on the healthy target; (c) providing a sense The measuring unit detects at least one of a group of exercise intensity, an amount of exercise, and a combination thereof; and (d) manages the amount of exercise of the user, the exercise intensity, and a combination thereof At least one of the groups, the user reaches the training program.

15. A method of exercise management comprising: (a) generating a healthy subject of a user (b) a training plan for a particular period of time in response to a health goal; and (c) managing an exercise behavior of the user during the particular period, the user achieving the training program.

16. The motion management method of embodiment 15, wherein the athletic activity is at least one of the group consisting of a motion amount, an exercise intensity, and a motion pattern.

17. A management system for a exercise program, comprising: a sensing unit that detects motion intensity within a time interval of a user; and a receiving unit that receives the user within a first time interval An exercise solution (ES); and a control unit according to the first exercise plan of the user, and the exercise intensity, the user's body feeling, the user's sleep quality, the user's mental and physiological condition, and the user's rest At least one of the combinations of heart rates produces a second exercise regimen within a second time interval.

18. The management system of embodiment 17, wherein the first exercise plan is at least one of the group consisting of a target interval, a motion amount, and a motion pattern.

19. The management system of embodiment 17, wherein the second exercise plan is at least one of the group consisting of a target interval, a motion amount, and a motion pattern.

20. The management system of embodiment 17, wherein the control unit calculates a single motion target interval achievement rate, a medium and high intensity interval achievement rate, and a single motion recovery according to the exercise intensity and the first exercise plan. The rate, at least one of which is related to the second exercise program.

21. The management system of embodiment 20, wherein the single-shot target interval achievement rate is b/a*100%, and a corresponds to the exercise time of the target interval in the first exercise plan, And b is corresponding to the actual exercise time of the user measured by the sensing unit that is not lower than the actual exercise time of the target interval.

22. The management system of embodiment 20, wherein the single motion recovery rate is a motion intensity recovery efficiency measured by the sensing unit after a target interval is reached.

23. The management system of embodiment 22, wherein the sensing unit measures The exercise intensity is the heartbeat intensity, which is the recovery efficiency of the heartbeat intensity.

24. The management system of embodiment 19, wherein the control unit transmits a message to the user in accordance with a target interval associated with the second exercise plan to guide the user to follow to achieve the target interval, Reminding the user of a precaution, and at least one of the groups consisting of the combinations.

25. The management system of embodiment 19, wherein the control unit further produces the second exercise plan of the target interval stepped movement compared to the first exercise plan.

26. The management system of embodiment 17, wherein the exercise intensity is heart rate, heart rate intensity, speed, Borg scale, metabolic equivalent (MET), maximum oxygen uptake (VO _2max ), power, At least one of the groups consisting of respiratory frequencies.

27. The management system of embodiment 17, further comprising a cloud unit electrically coupled to the control unit for accumulating at least one of the amount of motion, the intensity of the motion, and a group of the motion patterns.

28. A motion management system comprising: a sensing unit that detects an intensity of motion of a user during a time interval; and a receiving unit that receives a first motion intensity target of a first time interval of the user a second exercise intensity target interval is generated according to the first exercise intensity target interval and at least one of the combination of the exercise intensity, the proprioception, the sleep quality, the psychophysiological condition, and the resting heart rate,俾 the user determines one of the second time intervals of exercise behavior, wherein the exercise intensity includes: heart rate, heart rate intensity, speed, Borg scale, metabolic equivalent (MET), maximal oxygen uptake At least one of a group consisting of a quantity (VO _2max ), a power, and a respiratory rate.

29. A method of managing a exercise program comprising the steps of: (a) detecting a sporting intensity of a user; (b) receiving a first exercise plan within a last time interval; and (c) relying on The exercise intensity of the user and the first exercise program are generated at a next time A second exercise program within the interval.

30. The method of embodiment 29, further comprising providing an indication signal via a device to direct the user to adjust the intensity of the exercise to follow the second exercise regime.

In summary, the present invention is a rare and incomprehensible invention, but the above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto. That is to say, the equivalent changes and modifications made by the applicant in accordance with the scope of the patent application of the present invention should still fall within the scope of the patent of the present invention. I would like to ask your review committee to give a clear explanation and pray for it.

S101-S103‧‧‧Steps

Claims (6)

A motion management system includes: a sensing unit configured to detect at least one of a group of exercise intensity, a motion amount, and a combination thereof; a selection unit configured to provide The user selects a health goal; a control unit configured to generate a training plan for the user for a specific period of time according to the health goal; and a management unit configured to manage the amount of exercise of the user, the At least one of a group of exercise intensities and combinations thereof to achieve the training program. The motion management system of claim 1, further comprising a guiding unit configured to receive an alert message of the management unit to guide the user to the training plan. The motion management system of claim 2, wherein the guiding unit is one of a group consisting of a wearable device, a handheld device, an application (APP), and a display device. The motion management system of claim 1, wherein the management unit is further configured to manage a motion mode of the user according to the health goal, and the motion mode is an aerobic exercise, an intermittent exercise, and a At least one of a group consisting of muscle strength training and a softness exercise. The exercise management system according to claim 1, wherein the exercise intensity is heart rate, heart rate intensity, speed, respiratory rate, Borg scale, maximum oxygen uptake (VO _2max ), power, and metabolism. At least one of the groups consisting of equivalents (MET). A motion management system includes: a sensing unit configured to detect at least one of a group of exercise intensity, a motion amount, and a combination thereof; a receiving unit configured to receive the a healthy target of the user; a control unit configured to generate a training plan based on the health goal; and a management unit configured to manage at least one of the amount of exercise of the user, the intensity of the exercise, and a combination thereof The user reaches the training plan.