CN-121988001-A - Intelligent resistance self-adaptive adjusting method for aging-suitable outdoor fitness equipment

CN121988001ACN 121988001 ACN121988001 ACN 121988001ACN-121988001-A

Abstract

The invention provides an intelligent resistance self-adaptive adjusting method of an aging-suitable outdoor fitness equipment, which is based on multidimensional safety monitoring such as heart rate, motion stability and the like, the resistance adjustment is intervened in real time, so that the damage to joints and muscles caused by overlarge resistance of old users is avoided, and the exercise risk is reduced. The invention covers individual difference, physical energy change in the exercise process and environmental influence, realizes full-flow adaptation from initial matching to dynamic adjustment, and solves the problem that the fixed resistance cannot be adapted to the dynamic state of the senile group. The invention does not need the complicated operation of the elderly users, and the system automatically completes data acquisition and resistance adjustment and adapts to the operation capacity of the elderly population. According to the invention, through iteration of the personal model, the resistance matching logic is dynamically adjusted along with the physical change of the elderly user, so that the effectiveness and safety of long-term exercise are ensured.

Inventors

LIU GAN
LV JIAHAO
QIAO ZICHEN
ZHENG WEITAO
WANG HONG
WANG ZHAOYI
TANG LU
QIN YUN
LI BOYU
LEI YU
XIE YUJIE

Assignees

武汉体育学院

Dates

Publication Date: 20260508
Application Date: 20260330

Claims (10)

1. S1, collecting basic information of an aged user and initial physical ability pre-test data, and matching to generate an initial resistance value; s2, physiological data, motion parameters and environmental data in the exercise process are collected in real time through a multi-source sensor, and the collection frequency is not lower than 10Hz; s3, dynamically adjusting the resistance of equipment based on safety threshold judgment, motion adaptation logic and special protection rules, wherein the maximum single adjustment amplitude is not more than 20% of the current resistance; And S4, updating the personal resistance matching model according to the full-process data of the multiple-disc after the exercise is finished, wherein the model updating period is not more than 72 hours.
2. The intelligent resistance self-adaptive adjusting method of the aging-adapted outdoor fitness equipment according to claim 1, wherein the basic information in the step S1 comprises age, gender, frequency of movement per week (0 times, 1-2 times, 3 times or more), joint history type (gonarthritis, scapulohumeral periarthritis, lumbar disc herniation), initial physical ability pre-test is that a user completes 1 minute low resistance exercise with the strength of self-induced fatigue RPE value of 11 or less, average movement speed, heart rate change amplitude of the process (15 times or less/min stable, 25 times or more/min fluctuation larger) and operation jamming times (2 times or less smooth) are collected.
3. The intelligent resistance adaptive adjustment method of an aging-adapted outdoor fitness machine according to claim 1, wherein the initial resistance matching rule in step S1 is: users with the age of more than or equal to 65 years, exercise frequency of 0 times per week and no joint history have initial resistance of 110% -120% of the minimum gear of the equipment; the age is 60-64 years, the exercise frequency is 1-2 times per week, and the initial resistance is 130% -140% of the minimum gear of the equipment; The users with history of knee arthritis and scapulohumeral periarthritis have initial resistance of 70% -90% of the minimum gear of the equipment, and the highest 2-gear resistance is forbidden; the initial resistance of users with ages of more than or equal to 75 years is uniformly set to 90% -100% of the minimum gear of the equipment.
4. The intelligent resistance adaptive adjustment method of an aging-adapted outdoor fitness machine according to claim 1, wherein the physiological data acquisition in step S2 comprises: collecting real-time heart rate through a grip flexible heart rate sensor, wherein the error range is less than or equal to +/-3 times/min; Collecting the gravity center offset of the sitting posture through a cushion pressure sensor, and judging that the sitting posture is unstable when the offset is more than or equal to 20cm; the accuracy of the limb movement angle acquired by the millimeter wave radar is less than or equal to + -5 degrees, and the monitoring frequency is not lower than 15Hz.
5. The intelligent resistance adaptive adjustment method of an aging-adapted outdoor fitness equipment according to claim 1, wherein the safety threshold judgment rule in step S3 is: When the real-time heart rate of the user exceeds (220-age) multiplied by 70%, immediately regulating the current resistance by 15%, and re-judging every 5 seconds until the heart rate falls back to the interval of (220-age) multiplied by 50% -65%; when the continuous action blocking interval is more than or equal to 1.5 seconds for 3 times or the limb movement amplitude is more than or equal to 30 percent of the previous time, judging that the limb movement is tired and unstable, reducing the current resistance by 20 percent and triggering a voice prompt of 'please slow down rhythm'; when the gravity center offset of the sitting posture is more than or equal to 25cm, the current resistance is immediately adjusted down to the minimum gear until the user adjusts the sitting posture.
6. The intelligent resistance adaptive adjustment method of an aging-adapted outdoor fitness machine according to claim 1, wherein the motion adaptation logic in step S3 is: the average movement speed of continuous 5 times of movements is increased by more than or equal to 20 percent compared with the initial pre-test speed, and when the heart rate is in the interval of (220-age) multiplied by 50% -60 percent, the resistance is adjusted upwards by the amplitude which does not exceed 10 percent of the current resistance each time until the movement speed falls back to within 105 percent of the initial speed; The average movement speed of continuous 3 times of movements is reduced by more than or equal to 30% compared with the initial pre-test speed, and when the heart rate is not more than (220-age) multiplied by 60%, the current resistance is reduced by 10% until the movement speed is increased to more than 80% of the initial speed.
7. The intelligent resistance adaptive adjustment method of an aging-adapted outdoor fitness machine according to claim 1, wherein the special protection rule in step S3 comprises: Aiming at knee arthritis users, the millimeter wave radar monitors the knee joint buckling angle in real time, when the angle is more than 100 degrees, the current resistance is temporarily adjusted by 10 percent, and after the angle falls back to less than or equal to 90 degrees, the angle is restored to the original adaptive resistance in an amplitude of 5 percent every 2 seconds; aiming at the scapulohumeral periarthritis user, monitoring the abduction angle of the shoulder joint, adjusting the current resistance by 10 percent downwards when the angle is more than 120 degrees, and gradually recovering the resistance when the angle is less than or equal to 100 degrees; When the ambient temperature is more than or equal to 32 ℃ and the humidity is more than or equal to 70% RH, the integral resistance threshold is adjusted down by 12% -18%, and the safe heart rate judging interval is shortened to 3 seconds.
8. The intelligent resistance adaptive adjustment method of an aging-adapted outdoor fitness equipment according to claim 1, wherein the personal resistance matching model optimization rule in step S4 is: when the average heart rate of 3 continuous exercises is in the interval of (220-age) multiplied by 55% -60%, and the exercise speed is stably increased, the basic resistance matching coefficient of the user is adjusted upwards by 10%; When the heart rate exceeds the safety threshold value for more than or equal to 2 times in a single exercise, the basic resistance matching coefficient of the user is adjusted down by 8% -12%; When the joint medical history of the user is newly increased or aggravated, the upper limit of the resistance is automatically adjusted down by 20 percent.
9. The intelligent resistance adaptive adjustment method of the aging-adapted outdoor fitness equipment according to claim 1, further comprising the steps of anomaly early warning and safety intervention: When the heart rate of the user exceeds (220-age) multiplied by 80%, immediately reducing the resistance to the minimum gear, triggering acousto-optic early warning (the flashing frequency of lamplight is more than or equal to 2Hz, the volume of prompt sound is more than or equal to 60 dB), and pushing early warning information comprising the position of the user and the current heart rate to the bound emergency contact person; when the sensor monitors that the limb of the user is separated from the equipment operation area for more than or equal to 3 seconds, the resistance adjusting system is automatically locked, and abrupt change of resistance caused by misoperation is avoided.
10. The intelligent resistance adaptive adjustment method for an aging-adapted outdoor fitness equipment according to claim 1, wherein the classification adjustment rules for different types of outdoor fitness equipment are: The Taiji kneading and pushing device has the initial resistance of 120% of the minimum gear, the rotation speed of less than 2.5 times/min is adjusted by 10%, and the resistance of more than 5 times/min is adjusted by 5%; The waist twisting device is characterized in that when the waist twisting angle is more than 45 degrees, the resistance is adjusted downwards by 10 percent, and when the twisting speed is more than 1 time/second, the resistance is adjusted downwards by 15 percent; the resistance is reduced by 10% when the traction amplitude is more than 80cm, and the grip strength is immediately reduced to the minimum gear when the grip strength is more than or equal to 25% lower than the initial value.

Description

Intelligent resistance self-adaptive adjusting method for aging-suitable outdoor fitness equipment Technical Field The invention relates to the technical field of fitness equipment, in particular to an intelligent resistance self-adaptive adjusting method of aging-suitable outdoor fitness equipment. Background As the aging degree of the population increases, the demand of the aged population for body building and health is growing. The outdoor body-building equipment is used as an important carrier for community rehabilitation, the middle-aged and old people have higher and higher proportion, but the existing equipment has various adaptability problems that most of equipment resistance is in fixed gears and cannot be dynamically adjusted according to the real-time physical state of the old people, muscle strain and joint injury are easily caused by overlarge resistance, the exercise effect cannot be achieved if the resistance is too small, the individual difference of the physical functions of the old people is large, the physical performance of the old people can be reduced along with time in the single exercise process, the fixed resistance mode is difficult to adapt to the dynamic change, the operation capability of partial old people is weak, the threshold of a complex gear adjusting mode is high, and the use experience is poor. Currently, some existing fitness equipment has a resistance adjusting function, but is manually set by a user, or is roughly adjusted based on a single motion parameter, such as a motion speed, and lacks of targeted adaptation to physiological characteristics of the elderly population, so that real intelligent self-adaptation cannot be realized, and safety and effectiveness of exercise of the elderly are difficult to ensure. Therefore, an intelligent resistance self-adaptive adjusting method suitable for the aging outdoor fitness equipment is provided. Disclosure of Invention The invention aims to solve the problems of the prior art. The intelligent resistance self-adaptive regulating method for the aging-suitable outdoor fitness equipment comprises the following steps of S1, collecting basic information of an aged user and initial physical ability pre-test data, and matching to generate an initial resistance value; s2, physiological data, motion parameters and environmental data in the exercise process are collected in real time through a multi-source sensor, and the collection frequency is not lower than 10Hz; s3, dynamically adjusting the resistance of equipment based on safety threshold judgment, motion adaptation logic and special protection rules, wherein the maximum single adjustment amplitude is not more than 20% of the current resistance; And S4, updating the personal resistance matching model according to the full-process data of the multiple-disc after the exercise is finished, wherein the model updating period is not more than 72 hours. As a preferable technical scheme of the invention, the basic information in the step S1 comprises age, gender, weekly exercise frequency (0 times, 1-2 times and more than 3 times), joint history type (gonarthritis, scapulohumeral periarthritis and lumbar disc herniation), initial physical ability pre-test is that a user completes 1 minute low resistance exercise with the strength of self-induced fatigue RPE value less than or equal to 11, average exercise speed, heart rate change amplitude (less than or equal to 15 times/minute of stable, more than or equal to 25 times/minute of large fluctuation) and operation jamming number (less than or equal to 2 times of smooth) of the process are collected. As a preferred technical solution of the present invention, the initial resistance matching rule in step S1 is: users with the age of more than or equal to 65 years, exercise frequency of 0 times per week and no joint history have initial resistance of 110% -120% of the minimum gear of the equipment; the age is 60-64 years, the exercise frequency is 1-2 times per week, and the initial resistance is 130% -140% of the minimum gear of the equipment; The users with history of knee arthritis and scapulohumeral periarthritis have initial resistance of 70% -90% of the minimum gear of the equipment, and the highest 2-gear resistance is forbidden; the initial resistance of users with ages of more than or equal to 75 years is uniformly set to 90% -100% of the minimum gear of the equipment. As a preferred embodiment of the present invention, the physiological data acquisition in step S2 includes: collecting real-time heart rate through a grip flexible heart rate sensor, wherein the error range is less than or equal to +/-3 times/min; Collecting the gravity center offset of the sitting posture through a cushion pressure sensor, and judging that the sitting posture is unstable when the offset is more than or equal to 20cm; the accuracy of the limb movement angle acquired by the millimeter wave radar is less than or equal to + -5 degrees, and the monitorin