CN109718527B - Physical fitness monitoring method and terminal based on riding movement and storage medium - Google Patents

Physical fitness monitoring method and terminal based on riding movement and storage medium Download PDF

Info

Publication number
CN109718527B
CN109718527B CN201711045050.1A CN201711045050A CN109718527B CN 109718527 B CN109718527 B CN 109718527B CN 201711045050 A CN201711045050 A CN 201711045050A CN 109718527 B CN109718527 B CN 109718527B
Authority
CN
China
Prior art keywords
physical
riding
value
real
heart rate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711045050.1A
Other languages
Chinese (zh)
Other versions
CN109718527A (en
Inventor
林志嵩
陈越猛
周荣锋
邹琪
王云
邓光亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Hicling Electronic Technology Co ltd
Original Assignee
Shanghai Hicling Electronic Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Hicling Electronic Technology Co ltd filed Critical Shanghai Hicling Electronic Technology Co ltd
Priority to CN201711045050.1A priority Critical patent/CN109718527B/en
Publication of CN109718527A publication Critical patent/CN109718527A/en
Application granted granted Critical
Publication of CN109718527B publication Critical patent/CN109718527B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

The invention provides a physical fitness monitoring method based on riding sports, a physical fitness monitoring terminal and a computer readable storage medium; the method comprises the following steps: collecting riding data of a monitored object; calculating the riding data to generate corresponding real-time information; the real-time information comprises a real-time physical energy value; comparing the real-time physical energy value with the initial physical energy value of the monitored object to judge whether the real-time physical energy value reaches a limit threshold value; wherein the initial physical energy value is obtained according to a preset rule; and if the real-time physical energy value reaches a limit threshold value, sending an instruction to remind the monitored object. The invention helps users to improve the exercise quality and riding performance, and helps users avoid the condition of body injury caused by excessive riding by setting a limit threshold, thereby ensuring the riding safety and health of users.

Description

Physical fitness monitoring method and terminal based on riding movement and storage medium
Technical Field
The invention relates to the field of information acquisition and monitoring management, in particular to a physical ability monitoring method based on riding motion, a monitoring terminal and a storage medium.
Background
Nowadays, with the health importance of people, sports become more and more popular, especially riding sports.
However, the riding movement of the user often lacks data feedback, and the systematicness is not strong; easily causing hypokinesia or hyperkinesia to cause physical injury.
Therefore, the user needs to be able to feed back data and remind the user of excessive exercise in time.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a physical ability monitoring method based on cycling, a physical ability monitoring terminal, and a computer readable storage medium, which are used to solve the problems of the prior art that insufficient data feedback easily causes physical injury due to insufficient or excessive motion.
In order to achieve the above and other related objects, the present invention provides a physical fitness monitoring method based on cycling, which is applied to a physical fitness monitoring terminal, and the method includes: collecting riding data of a monitored object; calculating the riding data to generate corresponding real-time information; the real-time information comprises a real-time physical energy value; comparing the real-time physical energy value with the initial physical energy value of the monitored object to judge whether the real-time physical energy value reaches a limit threshold value; wherein the initial physical energy value is obtained according to a preset rule; and if the real-time physical energy value reaches a limit threshold value, sending an instruction to remind the monitored object.
In an embodiment of the present invention, the preset rule includes any one or more combinations of the following rules: 1) generating the initial physical energy value according to preset physical state information of the monitored object; the preset body state information comprises height, weight, age and gender; 2) generating the initial physical energy value according to a riding test result of the monitored object completing a preset distance; 3) and correcting the initial physical energy value according to the result information of the last riding exercise.
In an embodiment of the present invention, the real-time information further includes: the maximum riding distance corresponding to the real-time physical energy value, the physical energy value when the riding is stopped and the riding starts again, and the physical energy recovery time corresponding to the real-time physical energy value.
In an embodiment of the present invention, the real-time physical performance value includes a endurance physical performance value; the endurance physical energy value is generated according to an endurance physical algorithm.
In an embodiment of the present invention, the endurance capacity algorithm includes: calculating a stamina heart rate interval starting point Z according to the age of the monitored object1(ii) a Wherein, the male endurance heart rate interval starting point Z1(male) ═ 0.55 (220-age), female endurance heart rate interval starting point Z1(female) 0.55 x (225-age); according to the endurance heart rate interval starting point Z1And generating the endurance consumption value A of the monitoring object per minute by the riding data1(ii) a The riding data comprises heart rate R (times/min), treadmill frequency F (circles/min), elevation proportion H of elevation per minute, ambient temperature T (DEG C), and ambient humidity W; endurance consumption value A of the monitoring object per minute1Calculated from the following formula: a. the1=(R-Z1) (F-30) × (1+ H) × (1+ (T-20)/10)) × (1+ (W-25)/10)); according to the endurance consumption value A of the monitored object per minute1Generating the force resistance physical energy value.
In an embodiment of the invention, the endurance consumption value a of the monitoring object per minute is any one of the following conditions1The value of (A) is 0: 1) the heart rate R is smaller than a preset lowest heart rate; 2) the treadmill frequency F is less than a predetermined minimum treadmill frequency.
In an embodiment of the present invention, the real-time physical ability value includes an explosive physical ability value; the burst force capability value is generated according to a burst force capability algorithm.
In an embodiment of the present invention, the explosive power performance algorithm includes: calculating the starting point Z of the explosive force heart rate interval according to the age of the monitored object2(ii) a Wherein, the starting point Z of the male explosive force heart rate interval2(male) ═ 0.75 (220-age), the start point Z of the female explosive force heart rate interval2(female) 0.75 × 0.75 (225-age); according to the starting point Z of the explosive force heart rate interval2And generating the explosive power consumption value A of the monitoring object per minute by the riding data2(ii) a The riding data comprises heart rate R (times/min), treadmill frequency F (circles/min), and elevation proportion H of every minute; the explosive force consumption value A of the monitoring object per minute2Calculated from the following formula: a. the2=(R-Z2) (F-30) × (1+ H); according to the explosive force consumption value A of the monitoring object per minute2Generating the burst force physical energy value.
In an embodiment of the present invention, the following condition is any oneThe explosive force consumption value A of the monitoring object per minute2The value of (A) is 0: 1) the heart rate R is smaller than a preset lowest heart rate; 2) the treadmill frequency F is less than a predetermined minimum treadmill frequency.
In an embodiment of the present invention, the physical ability monitoring terminal is communicatively connected to a service terminal, and the method includes: sending riding data and real-time information to the service terminal; receiving the physical availability policy from the service terminal; and displaying the physical ability use strategy for the monitored object to check so as to deal with the next riding movement.
In an embodiment of the present invention, the method includes: generating a physical ability use strategy according to the riding data and the real-time information; and displaying the physical ability use strategy for the monitoring object to check to cope with the next riding movement.
To achieve the above and other related objects, the present invention provides a physical ability monitoring terminal, including: a motion sensor, a communicator, a processor, and a memory; the motion sensor is in communication connection with the processor and is used for acquiring riding data of the monitored object; the communicator is in communication connection with the processor and is used for establishing communication connection with a service terminal; the memory, communicatively coupled to the processor, for storing a computer program; the processor is used for executing the computer program stored in the memory so as to enable the motion monitoring terminal to execute the physical fitness monitoring method based on the riding motion.
In an embodiment of the invention, the motion sensor includes a cadence device and a heart rate collector.
To achieve the above and other related objects, the present invention provides a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the cycling exercise based physical fitness monitoring method.
As described above, the physical fitness monitoring method based on cycling, the physical fitness monitoring terminal and the computer readable storage medium of the present invention have the following beneficial effects: the riding data of the user is collected and real-time information is generated, real-time physical energy value, riding distance, heart rate, environment temperature and other data are fed back to the user in real time, and the user is helped to improve the exercise quality and riding performance. The invention sets a limit threshold value to help a user avoid body injury caused by excessive riding, thereby ensuring riding safety and health of the user.
Drawings
Fig. 1 is a schematic diagram illustrating a physical ability monitoring method based on cycling in an embodiment of the invention.
Fig. 2 is a diagram illustrating a communication system according to an embodiment of the invention.
Fig. 3 is a schematic diagram of a physical ability monitoring terminal based on riding exercise according to an embodiment of the invention.
Description of the element reference numerals
201 service terminal
202 monitoring terminal
31 motion sensor
32 communication device
33 processor
34 memory
S101-S106 physical ability monitoring method steps
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Fig. 1 is a schematic diagram illustrating a physical ability monitoring method based on cycling in an embodiment of the invention. The physical ability monitoring method is applied to a physical ability monitoring terminal; the physical ability monitoring terminal comprises two parts, an intelligent terminal and a motion sensor; the intelligent terminal can be, for example, a smart phone, a portable computer, or a wearable smart watch; the motion sensor may be, for example, a treadmill, a heart rate belt, or the like. The physical ability monitoring method specifically comprises the following steps:
step S101: collecting riding data of a monitored object;
the riding data comprises environmental data, such as parameters of environmental temperature, environmental humidity, air pressure or altitude; the device also comprises motion data of riding motion, such as parameters of treadmill frequency, riding distance or riding time; the vital sign data of the monitored subject, such as the heart rate of the monitored subject, can also be included.
Step S102: calculating the riding data to generate corresponding real-time information; the real-time information comprises a real-time physical energy value;
the real-time information is information capable of reflecting the real-time state of the monitored object in riding motion; the real-time information comprises a real-time physical energy value, a farthest riding distance corresponding to the real-time physical energy value, a physical energy value when the riding stops and the riding starts again, physical energy recovery time corresponding to the real-time physical energy value and other information.
Step S103: comparing the real-time physical energy value with the initial physical energy value of the monitored object to judge whether the real-time physical energy value reaches a limit threshold value;
the initial physical energy value refers to an estimated value of the total energy of the monitored object; the initial physical energy value can be obtained according to any one or more combinations of the following three preset rules:
rule 1: and generating the initial physical energy value according to the preset physical state information of the monitored object. The preset body state information comprises parameters of height, weight, age, gender and the like of the monitored object. Optionally, in other embodiments, other physical status information items may be used to generate the initial physical performance value, such as information about the body fat rate, the daily average exercise time, whether there is a recent illness record, and the like of the monitored subject.
Rule 2: and generating the initial physical energy value according to the riding test result of the monitoring object for completing the preset distance. For example, the monitored subject may be tested to complete one ride at a distance of 20 kilometers, and the physical fitness value consumed in this test is taken as the initial physical fitness value. It should be noted that the above-mentioned 20 km riding is only a reference value; in other embodiments, other values may be selected as the riding test distance, which is not limited in the present invention.
Rule 3: and correcting the initial physical energy value according to the result information of the last riding exercise. For example, if the monitoring object completes the riding for a certain distance in the last riding motion, and the riding distance is higher than the preset initial physical fitness value before the riding, the initial physical fitness value of the next riding motion may be modified accordingly according to the actual distance of the last riding, so as to assist the monitoring object to achieve better exercise effect and better riding experience.
The initial physical fitness value may be obtained by any one of the above-described rules 1 to 3; alternatively, the method may be obtained by combining a plurality of the above rules 1 to 3; for example, the method 1) and the method 2) are combined, different weights are set, and the physical fitness value obtained after weighting calculation is the initial physical fitness value.
The physical fitness value comprises a force-bearing physical fitness value and is used for reflecting the capability of the monitored object to carry out continuous muscle movement for a long time; the endurance physical energy value is obtained according to an endurance physical algorithm, and the endurance physical algorithm specifically comprises:
calculating a stamina heart rate interval starting point Z according to the age of the monitored object1(ii) a Wherein, the male endurance heart rate interval starting point Z1(male) ═ 0.55 (220-age), female endurance heart rate interval starting point Z1(female) 0.55 x (225-age); for example, a 30 year old male endurance heart rate interval starts at 104.5, and a 30 year old female endurance heart rate interval starts at 107.25;
according to the endurance heart rate interval starting point Z1And generating the endurance consumption value A of the monitoring object per minute by the riding data1(ii) a The riding data comprises heart rate R (times/min), treadmill frequency F (circles/min), elevation proportion H of elevation per minute, ambient temperature T (DEG C), and ambient humidity W; endurance consumption value A of the monitoring object per minute1Calculated from the following formula: a. the1=(R-Z1)*(F-30)*(1+H)*(1+(T-20)/10))*(1+(W-25)/10));
According to the endurance physical ability consumption value A1And calculating the force resistance physical energy value. For example, the endurance body energy value may be derived from (initial endurance body energy value- (endurance body energy consumption value per minute + total minutes of cycling)).
The endurance loss value a1 is 0 in any one of the following cases:
case 1: the heart rate R is smaller than a preset lowest heart rate; the preset lowest heart rate refers to an average heart rate of the monitored subject when the monitored subject is in a non-exercise state. For example, the preset lowest heart rate may be an average heart rate of the monitored subject at rest or during sleep. And if the heart rate of the monitored object is less than the preset lowest heart rate when the monitored object does the riding exercise, determining that the endurance physical fitness consumption is not generated.
Case 2: the treadmill frequency F is less than the preset lowest treadmill frequency; and when the actual treadmill frequency of the monitoring object is lower than the preset value, the monitoring object is judged that the endurance physical consumption is not generated. Specifically, the minimum treadmill frequency may be set to 20 cycles/minute, for example. It should be noted that the above 20 cycles/minute is only a reference value, and in other embodiments, other values can be used as the lowest treadmill frequency, which is not limited by the present invention.
The physical ability value comprises an explosive force physical ability value used for reflecting the capability of the monitoring object for contracting muscles in a short time; the explosive force physical energy value is obtained according to an explosive force physical energy algorithm, and the explosive force physical energy algorithm specifically comprises the following steps:
calculating the starting point Z of the explosive force heart rate interval according to the age of the monitored object2(ii) a Wherein, the starting point Z of the male explosive force heart rate interval2(male) ═ 0.75 (220-age), the start point Z of the female explosive force heart rate interval2(female) 0.75 × 0.75 (225-age); for example, a 25 year old male explosive heart rate interval starts at 146.25, and a 25 year old female endurance heart rate interval starts at 150;
according to the starting point Z of the explosive force heart rate interval2And generating the explosive power consumption value A of the monitoring object per minute by the riding data2(ii) a The riding data comprises heart rate R (times/min), treadmill frequency F (circles/min), and elevation proportion H of every minute; the explosive force consumption value A of the monitoring object per minute2Calculated from the following formula: a. the2=(R-Z2)*(F-30)*(1+H);
According to the explosive force consumption value A of the monitoring object per minute2Generating the burst force physical energy value. For example, the burst force physical energy value can be defined by (initial burst force physical energy value- (burst force physical energy consumption per minute value A)2Total minutes of cycling)).
The explosive power consumption value a1 is 0 in any one of the following cases:
case 1: the heart rate R is smaller than a preset lowest heart rate; the preset lowest heart rate refers to an average heart rate of the monitored subject when the monitored subject is in a non-exercise state. For example, the preset lowest heart rate may be an average heart rate of the monitored subject at rest or during sleep. And if the heart rate of the monitored object is less than the preset lowest heart rate when the monitored object does the riding exercise, determining that the endurance physical fitness consumption is not generated.
Case 2: the treadmill frequency F is less than the preset lowest treadmill frequency; and when the actual treadmill frequency of the monitoring object is lower than the preset value, the monitoring object is judged that the endurance physical consumption is not generated. Specifically, the minimum treadmill frequency may be set to 20 cycles/minute, for example. It should be noted that the above 20 cycles/minute is only a reference value, and in other embodiments, other values can be used as the lowest treadmill frequency, which is not limited by the present invention.
Step S104: and if the real-time physical energy value reaches a limit threshold value, sending an instruction to remind the monitored object.
The limit threshold refers to a physical ability limit value that the monitoring subject can bear, and the body of the monitoring subject is usually injured when the limit threshold is exceeded. The indication can inform the monitored object in a display mode, can remind the monitored object of reaching the limit threshold value in a voice prompt mode, or can remind the monitored object of reaching the limit threshold value in a warning sound mode and the like. According to the invention, the limit threshold value is set, so that the monitoring object is timely reminded, the situation that the body is injured due to the excessive riding of the user is avoided, and the riding safety and health of the user are ensured.
Referring to fig. 2, a communication system in one embodiment of the invention is shown. The communication system includes: a service terminal 201 and a physical ability monitoring terminal 202.
The service terminal 201 may be implemented by a server/server group, a home desktop computer, a notebook computer, a mobile terminal (a smart phone or a tablet computer), and the like.
The service terminal 201 and the physical ability monitoring terminal 202 are preferably in communication connection, for example, in wireless communication connection based on one or more protocols of bluetooth, infrared, WiFi, 2G/3G/4G mobile communication, Zigbee, LoRA, or the like; further, the physical ability monitoring terminal 202 may be freely set in a geographical location, for example, in the same region of the same country, in different regions of the same country, in different countries, etc. The communication connection between the service terminal 201 and the physical ability monitoring terminal 202 specifically implements the following steps:
step S105: the physical ability monitoring terminal 202 sends riding data and real-time information to the service terminal 201; the server generates a corresponding physical performance use strategy after the monitoring object completes each riding movement according to the riding data and the real-time information from the physical performance monitoring terminal 202, and sends the physical performance use strategy to the physical performance monitoring terminal 202.
The physical ability using strategy is that the service terminal 201 formulates riding guidance matched with the riding capacity of the monitored object according to the riding data and the real-time information transmitted by the monitoring terminal 202; the riding capacity comprises parameters such as riding total distance, riding total time, resting times, physical energy total consumption and physical energy recovery total time. For example, the service terminal 201 may use an average value of the historical cycling capability data of the monitoring object as the physical fitness utilization strategy, for example, the average total cycling distance of the monitoring object in the past 5 cycling motions is 10 km, the average cycling time is 30 minutes, the average number of rest times is 1, the average time of 5 minutes of physical fitness recovery to 100% of the initial physical fitness value at rest is taken, and each average value in the 5 cycling motions is used as the physical fitness utilization strategy of the monitoring object in the next cycling motion, so that the monitoring object achieves a better exercise effect and distributes physical fitness more evenly.
Step S106: receiving and displaying the physical ability use strategy from the service terminal 201 for the monitoring object to view. The physical ability monitoring terminal 202 may notify the monitoring object by displaying the physical ability using policy, or may notify the monitoring object of the physical ability using policy by voice prompt or the like.
It should be noted that the physical ability usage policy may also be generated by local computation, that is, by the physical ability monitoring terminal 202. The physical ability monitoring terminal 202 generates and displays a corresponding physical ability using strategy after the monitoring object completes each riding exercise according to the collected riding data and the real-time information, so that the monitoring object can check the physical ability using strategy to cope with the next riding exercise.
Fig. 3 is a schematic structural diagram of a physical ability monitoring terminal according to an embodiment of the invention. The physical ability monitoring terminal comprises a motion sensor 31, a communicator 32, a processor 33 and a memory 34.
The motion sensor 31 is communicatively connected to the processor 33, and is configured to collect riding data of the monitored subject. The motion sensor 31 comprises a pedal frequency device and is used for acquiring parameters such as the frequency of a pedal, the ambient temperature, the ambient humidity, the air pressure, the riding distance, the altitude and the like; the motion sensor 31 further comprises a heart rate collector for collecting heart rate values of the monitored subject.
The communicator 32 is communicatively connected to the processor 33, and is configured to establish a communication connection with a service terminal.
The memory 34 is used for storing a computer program, and the processor 33 is used for running the computer program, so that the physical ability monitoring terminal executes the steps of the physical ability monitoring method.
The memory 34 may include a Random Access Memory (RAM) 34, and may also include a non-volatile memory 34 (e.g., at least one disk memory 34).
The processor 33 is configured to execute the computer program stored in the memory 34, so that the motion monitoring terminal 3 executes the physical fitness monitoring method based on the cycling motion. The processor 33 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
In summary, the physical ability monitoring method based on riding, the physical ability monitoring terminal and the computer readable storage medium of the invention have the following advantages: the riding data of the user is collected and real-time information is generated, real-time physical energy value, riding distance, heart rate, environment temperature and other data are fed back to the user in real time, and the user is helped to improve the exercise quality and riding performance. The invention sets a limit threshold value to help a user avoid body injury caused by excessive riding, thereby ensuring riding safety and health of the user. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (13)

1. A physical fitness monitoring method based on riding movement is applied to a physical fitness monitoring terminal, and the method comprises the following steps:
collecting riding data of a monitored object;
calculating the riding data to generate corresponding real-time information; the real-time information comprises a real-time physical energy value;
comparing the real-time physical energy value with the initial physical energy value of the monitored object to judge whether the real-time physical energy value reaches a limit threshold value; wherein the initial physical energy value is obtained according to a preset rule;
if the real-time physical energy value reaches a limit threshold value, sending an instruction to remind the monitored object;
the real-time physical fitness value comprises a resistance physical fitness value; the endurance physical energy value is generated according to an endurance physical energy algorithm; the endurance capacity algorithm comprises:
calculating a stamina heart rate interval starting point Z according to the age of the monitored object1(ii) a Wherein, the male endurance heart rate interval starting point Z1(male) ═ 0.55 (220-age), female toleranceStarting point Z of range of force heart rate1(female) 0.55 x (225-age);
according to the endurance heart rate interval starting point Z1And generating the endurance consumption value A of the monitoring object per minute by the riding data1(ii) a The riding data comprises heart rate R (times/min), treadmill frequency F (circles/min), elevation proportion H of elevation per minute, ambient temperature T (DEG C), and ambient humidity W; endurance consumption value A of the monitoring object per minute1Calculated from the following formula: a. the1=(R-Z1)*(F-30)*(1+H)*(1+(T-20)/10))*(1+(W-25)/10));
According to the endurance consumption value A of the monitored object per minute1Generating the force resistance physical energy value.
2. The cycling exercise based physical fitness monitoring method according to claim 1, wherein the preset rules comprise any one or more of the following rules:
1) generating the initial physical energy value according to preset physical state information of the monitored object; the preset body state information comprises height, weight, age and gender;
2) generating the initial physical energy value according to a riding test result of the monitored object completing a preset distance;
3) and correcting the initial physical energy value according to the result information of the last riding exercise.
3. The cycling exercise based physical fitness monitoring method according to claim 1, wherein the real-time information further comprises: the maximum riding distance corresponding to the real-time physical energy value, the physical energy value when the riding is stopped and the riding starts again, and the physical energy recovery time corresponding to the real-time physical energy value.
4. The cycling-exercise-based physical fitness monitoring method according to claim 1, wherein the real-time physical fitness value comprises a endurance physical fitness value; the endurance physical energy value is generated according to an endurance physical algorithm.
5. The physical fitness monitoring method based on cycling exercise according to claim 1, wherein the endurance consumption value A of the monitored subject per minute is any one of the following conditions1The value of (A) is 0:
1) the heart rate R is smaller than a preset lowest heart rate;
2) the treadmill frequency F is less than a predetermined minimum treadmill frequency.
6. The cycling-exercise-based physical fitness monitoring method according to claim 1, wherein the real-time physical fitness value comprises an explosive force physical fitness value; the burst force capability value is generated according to a burst force capability algorithm.
7. The cycling-based physical fitness monitoring method according to claim 6, wherein the explosive-force physical fitness algorithm comprises:
calculating the starting point Z of the explosive force heart rate interval according to the age of the monitored object2(ii) a Wherein, the starting point Z of the male explosive force heart rate interval2(male) ═ 0.75 (220-age), the start point Z of the female explosive force heart rate interval2(female) 0.75 × 0.75 (225-age);
according to the starting point Z of the explosive force heart rate interval2And generating the explosive power consumption value A of the monitoring object per minute by the riding data2(ii) a The riding data comprises heart rate R (times/min), treadmill frequency F (circles/min), and elevation proportion H of every minute; the explosive force consumption value A of the monitoring object per minute2Calculated from the following formula: a. the2=(R-Z2)*(F-30)*(1+H);
According to the explosive force consumption value A of the monitoring object per minute2Generating the burst force physical energy value.
8. The physical fitness monitoring method based on cycling exercise according to claim 7, wherein the explosive force consumption value A of the monitoring object per minute is in any one of the following conditions2The value of (A) is 0:
1) the heart rate R is smaller than a preset lowest heart rate;
2) the treadmill frequency F is less than a predetermined minimum treadmill frequency.
9. The physical ability monitoring method according to claim 1, wherein the physical ability monitoring terminal is connected with a service terminal in communication, the method comprises:
sending riding data and real-time information to the service terminal;
receiving a physical availability policy from the service terminal;
and displaying the physical ability use strategy for the monitoring object to check to cope with the next riding movement.
10. The method of claim 1, wherein the method comprises:
generating a physical ability use strategy according to the riding data and the real-time information;
and displaying the physical ability use strategy for the monitoring object to check to cope with the next riding movement.
11. A physical ability monitoring terminal, comprising: a motion sensor, a communicator, a processor, and a memory;
the motion sensor is in communication connection with the processor and is used for acquiring riding data of the monitored object;
the communicator is in communication connection with the processor and is used for establishing communication connection with a service terminal;
the memory, communicatively coupled to the processor, for storing a computer program;
the processor is used for executing the computer program stored in the memory to enable the motion monitoring terminal to execute the riding motion-based physical fitness monitoring method according to any one of claims 1 to 10.
12. The physical fitness monitoring terminal of claim 11, wherein the motion sensor comprises a treadmill and a heart rate collector.
13. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the cycling exercise-based physical fitness monitoring method according to any one of claims 1 to 10.
CN201711045050.1A 2017-10-31 2017-10-31 Physical fitness monitoring method and terminal based on riding movement and storage medium Active CN109718527B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711045050.1A CN109718527B (en) 2017-10-31 2017-10-31 Physical fitness monitoring method and terminal based on riding movement and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711045050.1A CN109718527B (en) 2017-10-31 2017-10-31 Physical fitness monitoring method and terminal based on riding movement and storage medium

Publications (2)

Publication Number Publication Date
CN109718527A CN109718527A (en) 2019-05-07
CN109718527B true CN109718527B (en) 2021-02-12

Family

ID=66293181

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711045050.1A Active CN109718527B (en) 2017-10-31 2017-10-31 Physical fitness monitoring method and terminal based on riding movement and storage medium

Country Status (1)

Country Link
CN (1) CN109718527B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210316184A1 (en) * 2020-04-08 2021-10-14 bOMDIC, Inc. Method for monitoring exercise session with multiple schemes
CN114719866A (en) * 2022-05-17 2022-07-08 北京太极疆泰科技发展有限公司 Walking navigation positioning method and device based on body energy prediction
CN117597965A (en) * 2022-06-14 2024-02-23 北京小米移动软件有限公司 Monitoring method and device for body monitoring data, electronic equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202503569U (en) * 2012-03-13 2012-10-24 姚国康 Device for bicycle speed testing and heart rate monitoring based on mobile phone
JP2013078606A (en) * 2006-05-03 2013-05-02 Nike Internatl Ltd Athletic or other exercise performance sensing system
CN104468824A (en) * 2014-12-25 2015-03-25 清华大学 Intelligent bicycle riding physiological data monitoring method and system
CN205018381U (en) * 2015-05-25 2016-02-10 广东远峰电子科技有限公司 Intelligent helmet of riding
CN106709235A (en) * 2016-11-21 2017-05-24 风跑体育发展(深圳)有限公司 Exercise training data processing method and device
CN106693341A (en) * 2016-12-06 2017-05-24 北京体育大学 Novel aerobic swim endurance training system
CN206228851U (en) * 2016-11-07 2017-06-09 上海悦野健康科技有限公司 A kind of Exercycle that can detect physical efficiency

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI416411B (en) * 2010-08-06 2013-11-21 Univ Nat Taiwan Operation method and radio device for controlling radio power switch based on moving speed

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013078606A (en) * 2006-05-03 2013-05-02 Nike Internatl Ltd Athletic or other exercise performance sensing system
CN202503569U (en) * 2012-03-13 2012-10-24 姚国康 Device for bicycle speed testing and heart rate monitoring based on mobile phone
CN104468824A (en) * 2014-12-25 2015-03-25 清华大学 Intelligent bicycle riding physiological data monitoring method and system
CN205018381U (en) * 2015-05-25 2016-02-10 广东远峰电子科技有限公司 Intelligent helmet of riding
CN206228851U (en) * 2016-11-07 2017-06-09 上海悦野健康科技有限公司 A kind of Exercycle that can detect physical efficiency
CN106709235A (en) * 2016-11-21 2017-05-24 风跑体育发展(深圳)有限公司 Exercise training data processing method and device
CN106693341A (en) * 2016-12-06 2017-05-24 北京体育大学 Novel aerobic swim endurance training system

Also Published As

Publication number Publication date
CN109718527A (en) 2019-05-07

Similar Documents

Publication Publication Date Title
CN109718527B (en) Physical fitness monitoring method and terminal based on riding movement and storage medium
US10376185B2 (en) System and method to recognize activities performed by an individual
TWI687844B (en) Systems and methods for facilitating exercise monitoring with real-time heart rate monitoring and motion analysis
CN111477297B (en) Personal computing device
US9226706B2 (en) System, apparatus, and method for promoting usage of core muscles and other applications
JP6539273B2 (en) Activity recognition by activity reminder
EP3158928A1 (en) Stamina monitoring method and device
US9731184B2 (en) Exercise assistive device
CN101396260B (en) Exercise assisting devices
CN107408158A (en) The healthy wearable thing harvested using Intelligent Energy
US20160073904A1 (en) Data transfer of a heart rate and activity monitor arrangement and a method for the same
CN108073287B (en) Motion monitoring method and device and wearable motion equipment
EP3058442A1 (en) Calculating pace and energy expenditure from athletic movement attributes
US9864843B2 (en) System and method for identifying performance days
CN106510658B (en) A kind of human body emotion judgment method based on bracelet
US20160151672A1 (en) Recommending an exercise activity for a user
KR20160026258A (en) A smart fitness system and a method for controlling thereof
CN204272234U (en) A kind of company of handset device of personal health monitoring
JP2011156132A (en) Mode identification device, mode identification method, and program
CN202376719U (en) Movement counter based on altitude measuring module
US20230210402A1 (en) Methods and devices for motion monitoring
US20170150918A1 (en) Method and system for defining balance between physical activity and rest
CN107361774B (en) Motion monitoring system and method based on step frequency
CN109819110B (en) Motion control method and related device
CN113299365A (en) Physical training plan generation method and device and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant