CN113663308A

CN113663308A - Running posture correction method, device and system

Info

Publication number: CN113663308A
Application number: CN202010409261.4A
Authority: CN
Inventors: 冯海平; 姜凯
Original assignee: Edwards Holdings Ltd
Current assignee: Edwards Holdings Ltd
Priority date: 2020-05-14
Filing date: 2020-05-14
Publication date: 2021-11-19

Abstract

The embodiment of the invention relates to the technical field of running, in particular to a running posture correcting method, a running posture correcting device and a running posture correcting system. The running posture correcting method comprises the following steps: collecting running posture parameters of a user through a sensor assembly worn by the user; comparing the running posture parameter with a preset ideal parameter; and if the running posture parameter is not in the range of the preset ideal parameter, sending a running posture correction prompt to the user, and carrying a running posture correction scheme. By the method, the embodiment of the invention can prevent the user from running in the wrong running posture, reduce sports injury and improve training effect.

Description

Running posture correction method, device and system

Technical Field

The embodiment of the invention relates to the technical field of running, in particular to a running posture correcting method, a running posture correcting device and a running posture correcting system.

Background

In recent years, the hot tide of national fitness is raised all over the country, and people of all ages and both sexes actively participate in fitness sports to achieve the purpose of building up the body. Running is the simplest and most basic item in fitness exercise and is favored by people, and most people can select running to perform fitness exercise. However, the inventor finds out in the process of implementing the invention that: at present, whether the running posture of a user is correct or not is not clear when the user runs, and if the user runs in the wrong running posture for a long time, sports injury is easy to occur, and the training effect is difficult to achieve.

Disclosure of Invention

The embodiment of the invention aims to provide a running posture correcting method, a running posture correcting device and a running posture correcting system, which can prevent a user from running in a wrong running posture, reduce sports injury and improve training effect.

In order to solve the above technical problem, one technical solution adopted by the embodiments of the present invention is: provided is a running posture correction method, comprising:

collecting running posture parameters of a user through a sensor assembly worn by the user;

comparing the running posture parameter with a preset ideal parameter;

and if the running posture parameter is not within the range of the preset ideal parameter, sending a running posture correction prompt to the user, wherein the running posture correction prompt carries a running posture correction scheme.

Optionally, the running posture parameter includes at least one of a forward inclination angle, a waist swing angle, a landing position, a step frequency, a step length, a touchdown time, an upper body swing angle, a hip joint flexion and extension angle, a knee joint flexion and extension angle, an upper arm and forearm included angle, and an arm movement plane and body included angle.

Optionally, when the running posture parameter is an anteversion angle, the acquiring, by a sensor assembly worn by the user, the running posture parameter of the user specifically includes:

acquiring first shoulder posture data, second shoulder posture data, first waist posture data and second waist posture data, wherein the first shoulder posture data comprise a first shoulder current coordinate, the second shoulder posture data comprise a second shoulder current coordinate, the first waist posture data comprise a first waist current coordinate, and the second waist posture data comprise a second waist current coordinate;

determining a first midpoint coordinate according to the first shoulder current coordinate and the second shoulder current coordinate;

determining a second midpoint coordinate according to the first waist current coordinate and the second waist current coordinate;

calculating a first vector according to a first projection coordinate of the first midpoint coordinate on a yz plane of a world coordinate system and a second projection coordinate of the second midpoint coordinate on the yz plane of the world coordinate system;

and calculating the forward inclination angle of the user according to the first vector and the normal vector of the xy plane of the world coordinate system.

Optionally, when the running posture parameter is a waist swing angle, the collecting of the running posture parameter of the user by the sensor component worn by the user specifically includes:

acquiring first waist posture data and second waist posture data acquired by the sensor assembly;

and calculating the waist swing angle of the user according to the first waist posture data and the second waist posture data.

Optionally, the first waist posture data comprises a first waist current coordinate, and the second waist posture data comprises a second waist current coordinate; then the process of the first step is carried out,

calculating the waist swing angle of the user according to the first waist posture data and the second waist posture data, specifically comprising:

calculating a second vector according to a third projection coordinate of the first waist current coordinate on an xz plane of a world coordinate system and a fourth projection coordinate of the second waist current coordinate on the xz plane of the world coordinate system;

and calculating the waist swinging angle of the user according to the second vector and the normal vector of the yz plane of the world coordinate system.

Optionally, the first waist posture data includes a first waist initial coordinate and a first waist current coordinate, and the second waist posture data includes a second waist initial coordinate and a second waist current coordinate; then the process of the first step is carried out,

calculating a third vector according to the first waist initial coordinate and the second waist initial coordinate;

calculating a fourth vector according to the first waist current coordinate and the second waist current coordinate;

and calculating the waist swing angle of the user according to the third vector and the fourth vector.

Optionally, the landing positions include a left foot landing position and a right foot landing position; then the process of the first step is carried out,

when the running posture parameter is a landing position, the collecting of the running posture parameter of the user through a sensor component worn by the user specifically comprises:

acquiring left foot sole pressure data and right foot sole pressure data acquired by the sensor assembly;

determining a left foot landing mode of the user according to the left foot sole pressure data, and calculating a left foot landing position of the user according to the left foot landing mode;

and determining the right foot landing mode of the user according to the right foot sole pressure data, and calculating the right foot landing position of the user according to the right foot landing mode.

Optionally, the left foot sole pressure data includes a first forefoot pressure value and a first heel pressure value, and the right foot sole pressure data includes a second forefoot pressure value and a second heel pressure value; then the process of the first step is carried out,

the determining the left foot landing mode of the user according to the left foot sole pressure data specifically comprises:

if the first forefoot pressure value is greater than the first heel pressure value, determining that the left foot landing mode of the user is the forefoot landing;

if the first forefoot pressure value is equal to the first heel pressure value, determining that the left foot landing mode of the user is full-palm landing;

if the first forefoot pressure value is smaller than the first heel pressure value, determining that the left foot landing mode of the user is heel landing;

the determining the right foot landing mode of the user according to the right foot sole pressure data specifically comprises:

if the second forefoot pressure value is greater than the second heel pressure value, determining that the right foot landing mode of the user is the forefoot landing;

if the second forefoot pressure value is equal to the second heel pressure value, determining that the right foot landing mode of the user is full-foot landing;

and if the second forefoot pressure value is smaller than the second heel pressure value, determining that the right foot landing mode of the user is heel landing.

Optionally, the calculating the left foot landing position of the user according to the left foot landing manner specifically includes:

when the left foot landing mode is the half-sole landing, calculating the left foot landing position of the user according to the first half-sole pressure value;

when the left foot landing mode is full-foot landing, calculating the left foot landing position of the user according to the first forefoot pressure value or the first heel pressure value;

when the left foot landing mode is heel landing, calculating the left foot landing position of the user according to the first heel pressure value;

the calculating the right foot landing position of the user according to the right foot landing mode specifically comprises:

when the right foot landing mode is the half-sole landing, calculating the right foot landing position of the user according to the second half-sole pressure value;

when the right foot landing mode is full-foot landing, calculating the right foot landing position of the user according to the second forefoot pressure value or the second heel pressure value;

and when the right foot landing mode is heel landing, calculating the right foot landing position of the user according to the second heel pressure value.

Optionally, the calculating the left foot landing position of the user according to the first forefoot pressure value specifically includes:

when the first half sole pressure value is continuously increased for a preset number of times, extracting first ankle joint posture data acquired by the sensor assembly;

calculating a left foot landing position of the user according to the first ankle joint posture data;

the calculating the left foot landing position of the user according to the first heel pressure value specifically includes:

when the first heel pressure value is continuously increased for a preset number of times, extracting first ankle posture data acquired by the sensor assembly;

the calculating the right foot landing position of the user according to the second forefoot pressure value specifically includes:

when the second half sole pressure value is continuously increased for a preset number of times, extracting second ankle joint posture data acquired by the sensor assembly;

calculating a right foot landing position of the user according to the second ankle joint posture data;

the calculating the right foot landing position of the user according to the second heel pressure value specifically includes:

when the second heel pressure value is continuously increased for a preset number of times, extracting second ankle posture data acquired by the sensor assembly;

and calculating the right foot landing position of the user according to the second ankle joint posture data.

Optionally, the touchdown time comprises a left foot touchdown time and a right foot touchdown time; then the process of the first step is carried out,

when the running posture parameter is touchdown time, the method further comprises:

according to the left foot landing mode, calculating the left foot landing time of the user;

and calculating the right foot touchdown time of the user according to the right foot touchdown mode.

Optionally, the calculating the left foot contact time of the user according to the left foot contact mode specifically includes:

when the left foot landing mode is the half-sole landing, calculating the left foot landing time of the user according to the first half-sole pressure value;

when the left foot landing mode is full-foot landing, calculating the left foot landing time of the user according to the first forefoot pressure value or the first heel pressure value;

when the left foot landing mode is heel landing, calculating the left foot landing time of the user according to the first heel pressure value;

the calculating the right foot touchdown time of the user according to the right foot touchdown mode specifically comprises:

when the right foot landing mode is the half sole landing, calculating the right foot landing time of the user according to the second half sole pressure value;

when the right foot landing mode is full-sole landing, calculating the right foot landing time of the user according to the second forefoot pressure value or the second heel pressure value;

and when the right foot landing mode is heel landing, calculating the right foot landing time of the user according to the second heel pressure value.

Optionally, the calculating the left foot contact time of the user according to the first forefoot pressure value specifically includes:

determining a duration of time that the first forefoot pressure value is greater than 0 as the user's left foot contact time;

the calculating the left foot contact time of the user according to the first heel pressure value specifically includes:

determining a duration of time that the first heel pressure value is greater than 0 as the user's left foot strike time;

calculating the right foot contact time of the user according to the second forefoot pressure value, specifically comprising:

determining a duration of time that the second forefoot pressure value is greater than 0 as the user's right foot strike time;

calculating the right foot contact time of the user according to the second heel pressure value, specifically comprising:

determining a duration of time that the second heel pressure value is greater than 0 as the user's right foot strike time.

Optionally, when the running posture parameter is a running frequency, the method further comprises:

determining the left foot landing times and the right foot landing times of the user in a preset unit time according to the left foot landing mode or the right foot landing mode;

and determining the sum of the left foot landing frequency and the right foot landing frequency in the preset unit time as the step frequency of the user.

Optionally, the determining, according to the left foot landing manner, the left foot landing times and the right foot landing times of the user in a preset unit time specifically includes:

if the left foot landing mode is the front foot landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the first front foot pressure value;

if the left foot landing mode is full-foot landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the first forefoot pressure value or the first heel pressure value;

if the left foot landing mode is heel landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the first heel pressure value;

the determining the left foot landing times and the right foot landing times of the user in a preset unit time according to the right foot landing mode specifically comprises:

if the right foot landing mode is half-sole landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the second half-sole pressure value;

if the right foot landing mode is full-foot landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the second front sole pressure value or the second heel pressure value;

and if the right foot landing mode is heel landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the second heel pressure value.

Optionally, the determining, according to the first forefoot pressure value, the left foot landing times and the right foot landing times of the user in a preset unit time specifically includes:

determining the peak value number of the first forefoot pressure value in the preset unit time as the left foot landing times of the user in the preset unit time;

determining the valley value quantity of the first half sole pressure value in the preset unit time as the right foot landing times of the user in the preset unit time;

the determining, according to the first heel pressure value, the left foot landing frequency and the right foot landing frequency of the user in a preset unit time specifically includes:

determining the number of the peak values of the first heel pressure value in the preset unit time as the left foot landing times of the user in the preset unit time;

determining the valley value quantity of the first heel pressure value in the preset unit time as the right foot landing times of the user in the preset unit time;

the determining, according to the second forefoot pressure value, the left foot landing frequency and the right foot landing frequency of the user in a preset unit time specifically includes:

determining the peak value number of the second forefoot pressure value in the preset unit time as the right foot landing times of the user in the preset unit time;

determining the valley value quantity of the second forefoot pressure value in the preset unit time as the left foot landing times of the user in the preset unit time;

the determining, according to the second heel pressure value, the left foot landing frequency and the right foot landing frequency of the user in a preset unit time specifically includes:

determining the number of the peak values of the second heel pressure value in the preset unit time as the right foot landing times of the user in the preset unit time;

and determining the number of the valleys of the second heel pressure value in the preset unit time as the left foot landing times of the user in the preset unit time.

Optionally, the sum of the adjacent left foot landing positions and right foot landing positions is determined as the step size of the user.

Optionally, when the running posture parameter is an upper body swing angle, the collecting of the running posture parameter of the user by the sensor component worn by the user specifically includes:

acquiring first shoulder posture data and second shoulder posture data acquired by the sensor assembly;

and calculating the upper body swinging angle of the user according to the first shoulder posture data and the second shoulder posture data.

Optionally, the first shoulder pose data comprises first shoulder current coordinates and the second shoulder pose data comprises second shoulder current coordinates; then the process of the first step is carried out,

the calculating the upper body swinging angle of the user according to the first shoulder posture data and the second shoulder posture data specifically includes:

calculating a fifth vector according to a fifth projection coordinate of the first shoulder current coordinate on an xz plane of a world coordinate system and a sixth projection coordinate of the second shoulder current coordinate on the xz plane of the world coordinate system;

and calculating the upper body swinging angle of the user according to the fifth vector and the normal vector of the yz plane of the world coordinate system.

Optionally, the first shoulder pose data comprises a first shoulder initial coordinate and a first shoulder current coordinate, and the second shoulder pose data comprises a second shoulder initial coordinate and a second shoulder current coordinate; then the process of the first step is carried out,

calculating a sixth vector according to the first shoulder initial coordinate and the second shoulder initial coordinate;

calculating a seventh vector according to the current coordinates of the first shoulder and the current coordinates of the second shoulder;

and calculating the upper body swinging angle of the user according to the sixth vector and the seventh vector.

Optionally, the hip flexion and extension angles include a left leg hip flexion and extension angle and a right leg hip flexion and extension angle; then the process of the first step is carried out,

when the running posture parameter is hip joint flexion and extension angle, the running posture parameter of the user is collected through a sensor assembly worn by the user, and the method specifically comprises the following steps:

acquiring first waist posture data and first knee posture data acquired by the sensor assembly, and calculating the flexion and extension angle of the hip joint of the left leg of the user according to the first waist posture data and the first knee posture data;

and acquiring second waist posture data and second knee posture data acquired by the sensor assembly, and calculating the flexion and extension angle of the hip joint of the right leg of the user according to the second waist posture data and the second knee posture data.

Optionally, the first lumbar pose data comprises first lumbar current coordinates, the first knee pose data comprises first knee current coordinates, the second lumbar pose data comprises second lumbar current coordinates, and the second knee pose data comprises second knee current coordinates; then the process of the first step is carried out,

calculating the flexion and extension angle of the hip joint of the left leg of the user according to the first waist posture data and the first knee posture data, and specifically comprises the following steps:

calculating an eighth vector according to a seventh projection coordinate of the first waist current coordinate on a yz plane of a world coordinate system and an eighth projection coordinate of the first knee current coordinate on the yz plane of the world coordinate system;

calculating the flexion and extension angle of the hip joint of the left leg of the user according to the eighth vector and the normal vector of the xy plane of the world coordinate system;

calculating the flexion and extension angle of the hip joint of the right leg of the user according to the second waist posture data and the second knee posture data, and specifically comprises the following steps:

calculating a ninth vector according to a ninth projection coordinate of the second waist current coordinate on a yz plane of a world coordinate system and a tenth projection coordinate of the second knee current coordinate on the yz plane of the world coordinate system;

and calculating the flexion and extension angle of the hip joint of the right leg of the user according to the ninth vector and the normal vector of the xy plane of the world coordinate system.

Optionally, the first lumbar pose data comprises first lumbar initial coordinates and first lumbar current coordinates, the first knee pose data comprises first knee initial coordinates and first knee current coordinates, the second lumbar pose data comprises second lumbar initial coordinates and second lumbar current coordinates, and the second knee pose data comprises second knee initial coordinates and second knee current coordinates; then the process of the first step is carried out,

calculating a tenth vector according to the first waist initial coordinate and the first knee initial coordinate;

calculating an eleventh vector according to the first waist current coordinate and the first knee current coordinate;

calculating the flexion and extension angle of the hip joint of the left leg of the user according to the tenth vector and the eleventh vector;

calculating a twelfth vector according to the second waist initial coordinate and the second knee initial coordinate;

calculating a thirteenth vector according to the second waist current coordinate and the second knee current coordinate;

and calculating the right leg hip joint flexion and extension angle of the user according to the twelfth vector and the thirteenth vector.

Optionally, the knee joint flexion and extension angles comprise a left knee joint flexion and extension angle and a right knee joint flexion and extension angle; then the process of the first step is carried out,

when the running posture parameter is knee joint flexion and extension angle, gather through the sensor subassembly that the user wore the user's running posture parameter specifically includes:

acquiring first waist posture data, first knee posture data and first ankle posture data acquired by the sensor assembly, and calculating the bending and stretching angle of the left leg and knee joint of the user according to the first waist posture data, the first knee posture data and the first ankle posture data;

and acquiring second waist posture data, second knee posture data and second ankle posture data acquired by the sensor assembly, and calculating the bending and stretching angle of the right leg and knee joint of the user according to the second waist posture data, the second knee posture data and the second ankle posture data.

Optionally, the first waist posture data comprises a first waist current coordinate, the first knee posture data comprises a first knee current coordinate, the first ankle posture data comprises a first ankle current coordinate, the second waist posture data comprises a second waist current coordinate, the second knee posture data comprises a second knee current coordinate, and the second ankle posture data comprises a second ankle current coordinate; then the process of the first step is carried out,

the calculating the bending and stretching angle of the left leg and knee joint of the user according to the first waist posture data, the first knee posture data and the first ankle posture data specifically comprises:

calculating a fourteenth vector according to the first waist current coordinate and the first knee current coordinate;

calculating a fifteenth vector according to the current coordinates of the first knee and the current coordinates of the first ankle joint;

calculating the left leg and knee joint flexion and extension angle of the user according to the fourteenth vector and the fifteenth vector;

calculating the flexion and extension angle of the right leg and knee joint of the user according to the second waist posture data, the second knee posture data and the second ankle posture data, and specifically comprising:

calculating a sixteenth vector according to the second waist current coordinate and the second knee current coordinate;

calculating a seventeenth vector according to the current coordinates of the second knee and the current coordinates of the second ankle;

and calculating the flexion and extension angle of the right leg and knee joint of the user according to the sixteenth vector and the seventeenth vector.

Optionally, the included angle between the upper arm and the forearm comprises an included angle between the upper arm of the left hand and the forearm and an included angle between the upper arm of the right hand and the forearm; then the process of the first step is carried out,

when running appearance parameter is upper arm and forearm contained angle, gather through the sensor module that the user wore user's running appearance parameter specifically includes:

acquiring first shoulder posture data, first elbow posture data and first wrist posture data acquired by the sensor assembly, and calculating an included angle between the left upper arm and the forearm of the user according to the first shoulder posture data, the first elbow posture data and the first wrist posture data;

acquiring second shoulder posture data, second elbow posture data and second wrist posture data collected by the sensor assembly, and calculating the right hand upper arm and forearm included angle of the user according to the second shoulder posture data, the second elbow posture data and the second wrist posture data.

Optionally, the first shoulder pose data comprises first shoulder current coordinates, the first elbow pose data comprises first elbow current coordinates, the first wrist pose data comprises first wrist current coordinates, the second shoulder pose data comprises second shoulder current coordinates, the second elbow pose data comprises second elbow current coordinates, and the second wrist pose data comprises second wrist current coordinates; then the process of the first step is carried out,

according to first shoulder gesture data first elbow gesture data with first wrist gesture data calculates user's left upper arm and forearm contained angle specifically include:

calculating an eighteenth vector according to the current coordinates of the first shoulder and the current coordinates of the first elbow;

calculating a nineteenth vector according to the current coordinates of the first elbow and the current coordinates of the first wrist;

calculating an included angle between the upper arm of the left hand and the forearm of the user according to the eighteenth vector and the nineteenth vector;

according to second shoulder gesture data, second elbow gesture data with second wrist gesture data calculates user's right hand upper arm and forearm contained angle specifically includes:

calculating a twentieth vector according to the second shoulder current coordinate and the second elbow current coordinate;

calculating a twenty-first vector according to the current coordinate of the second elbow and the current coordinate of the second wrist;

and calculating an included angle between the upper arm of the right hand and the forearm of the user according to the twentieth vector and the twenty-first vector.

Optionally, the included angle between the arm movement surface and the body includes an included angle between a left arm movement surface and the body and an included angle between a right arm movement surface and the body; then the process of the first step is carried out,

when running appearance parameter is arm motion face and health contained angle, gather through the sensor subassembly that the user wore user's running appearance parameter specifically includes:

acquiring first elbow posture data, first waist posture data and second waist posture data acquired by the sensor assembly, and calculating an included angle between a left arm motion surface and a body of the user according to the first elbow posture data, the first waist posture data and the second waist posture data;

acquiring second elbow posture data, first waist posture data and second waist posture data acquired by the sensor assembly, and calculating the included angle between the right hand arm motion surface and the body of the user according to the second elbow posture data, the first waist posture data and the second waist posture data.

Optionally, the first elbow pose data comprises first elbow current coordinates and first elbow previous time coordinates, the second elbow pose data comprises second elbow current coordinates and second elbow previous time coordinates, the first waist pose data comprises first waist current coordinates, and the second waist pose data comprises second waist current coordinates; then the process of the first step is carried out,

according to first elbow gesture data first waist gesture data with second waist gesture data calculates user's left hand arm motion face and health contained angle specifically includes:

calculating a twenty-two vector according to the current coordinates of the first elbow and the coordinates of the first elbow at the previous moment;

calculating a twenty-third vector according to the first waist current coordinate and the second waist current coordinate;

calculating an included angle between the left arm motion surface and the body of the user according to the twenty-second vector and the twenty-third vector;

according to second elbow gesture data, first waist gesture data with second waist gesture data, calculate user's right hand arm motion face and health contained angle specifically include:

calculating a twenty-four vector according to the current coordinate of the second elbow and the coordinate of the second elbow at the previous moment;

calculating a twenty-fifth vector according to the first waist current coordinate and the second waist current coordinate;

and calculating an included angle between the motion surface of the right hand and the arm of the user and the body according to the twenty-fourth vector and the twenty-fifth vector.

Optionally, after the step of acquiring the running posture parameters of the user through a sensor assembly worn by the user, the method further comprises:

calculating a running posture score of the user according to the running posture parameters;

sending the running gesture score to the user.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: provided is a running posture correcting device including:

the acquisition module is used for acquiring running posture parameters of a user through a sensor assembly worn by the user;

the comparison module is used for comparing the running posture parameter with a preset ideal parameter;

and the sending module is used for sending a running posture correction prompt to the user when the running posture parameter is not within the range of the preset ideal parameter, and the running posture correction prompt carries a running posture correction scheme.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: there is provided a running posture correcting system including:

a sensor assembly; and the number of the first and second groups,

an electronic device in communicative connection with the sensor assembly;

wherein the electronic device comprises at least one processor, and a memory communicatively coupled to the at least one processor;

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above-described running posture correction method.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: a computer program product comprising program code is provided which, when run on an electronic device, causes the electronic device to perform the running posture correction method described above.

The embodiment of the invention has the beneficial effects that: different from the situation of the prior art, the running posture correction method, the running posture correction device and the running posture correction system provided by the embodiment of the invention have the advantages that after the running posture parameters of a user are collected through the sensor assembly worn by the user, the running posture parameters are compared with preset ideal parameters, and if the running posture parameters are not in the range of the preset ideal parameters, a running posture correction prompt carrying a running posture correction scheme is sent to the user, so that the user can correct the running posture timely according to the running posture correction prompt, the user is prevented from running in wrong running postures, the exercise damage is reduced, and the training effect is improved.

Drawings

One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.

Fig. 1 is a schematic structural diagram of a running posture correcting system according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of a running posture correcting method according to an embodiment of the present invention;

FIG. 3 is a step size diagram;

fig. 4 is a schematic structural diagram of a running posture correcting apparatus according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a running posture correcting apparatus according to another embodiment of the present invention;

fig. 6 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for descriptive purposes only.

In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

The invention provides a running posture correcting method and device, which are applied to electronic equipment of a running posture correcting system, so that the electronic equipment can send a running posture correcting prompt carrying a running posture correcting scheme to a user when a running posture parameter of the user deviates from a preset ideal parameter, the user can correct the running posture in time according to the running posture correcting prompt, the user is prevented from running in a wrong running posture, the exercise damage is reduced, and the training effect is improved.

The invention will now be illustrated by means of specific examples.

Referring to fig. 1, a schematic structural diagram of a running posture correcting system according to an embodiment of the present invention is shown, the running posture correcting system includes: sensor assembly 100 and electronic device 200, sensor assembly 100 and electronic device 200 communicative connection to enable electronic device 200 to receive data collected by sensor assembly 100. The sensor assembly 100 and the electronic device 200 can be connected in communication by a wired connection or a wireless connection. Wireless connections include, but are not limited to: WiFi, Bluetooth, ZigBee, 3G, 4G, 5G, etc.

Specifically, the sensor assembly 100 includes a torso sensor, a left upper arm sensor, a right upper arm sensor, a left forearm sensor, a right forearm sensor, a left thigh sensor, a right thigh sensor, a left calf sensor, a right calf sensor, a left forefoot sensor, a left heel sensor, a right forefoot sensor, and a right heel sensor.

The body sensor, the left upper arm sensor, the right upper arm sensor, the left forearm sensor, the right front arm sensor, the left thigh sensor, the right thigh sensor, the left shank sensor and the right shank sensor are all nine-axis inertial sensors and are used for collecting posture data of a user in the running process; the left forefoot sensor, the left heel sensor, the right forefoot sensor and the right heel sensor are all pressure sensors and are used for collecting sole pressure data of a user in a running process, wherein the left forefoot sensor and the left heel sensor are used for collecting left sole pressure data of the user in the running process, and the right forefoot sensor and the right heel sensor are used for collecting right sole pressure data of the user in the running process.

The trunk sensor is used for being worn on the trunk part of a user to collect trunk posture data of the user.

Specifically, the torso sensor comprises a shoulder left sensor, a shoulder right sensor, a waist left sensor and a waist right sensor, when the torso sensor is worn on the torso part of the user, the shoulder left sensor is located on the left side of the shoulders of the user, the shoulder right sensor is located on the right side of the shoulders of the user, the waist left sensor is located on the left side of the waist of the user, and the waist right sensor is located on the right side of the waist of the user. The left shoulder sensor is used for collecting first shoulder posture data of a user, the right shoulder sensor is used for collecting second shoulder posture data of the user, the left waist sensor is used for collecting first waist posture data of the user, and the right waist sensor is used for collecting second waist posture data of the user.

The left upper arm sensor is used for being worn on the left elbow of the user to collect first elbow posture data of the user; the right upper arm sensor is used for being worn on the elbow of the right hand of the user so as to collect second elbow posture data of the user; the left forearm sensor is worn on the left wrist of the user to collect first wrist posture data of the user; the right front arm sensor is worn on the right wrist of the user to collect second wrist posture data of the user; the left thigh sensor is used for being worn on the knee of the left leg of the user to collect first knee posture data of the user; the right thigh sensor is used for being worn on the knee of the right leg of the user so as to collect second knee posture data of the user; the left lower leg sensor is worn on the ankle joint of the left leg of the user to acquire first ankle joint posture data of the user; the right lower leg sensor is worn on the ankle joint of the right leg of the user to acquire second ankle joint posture data of the user; the left forefoot sensor is used for being worn on the left forefoot of a user to acquire a first forefoot pressure value of the user; the left heel sensor is used for being worn on the left heel of the user to acquire a first heel pressure value of the user; the right forefoot sensor is used for being worn on the right forefoot of the user to acquire a second forefoot pressure value of the user; the right heel sensor is adapted to be worn at a right heel of the user to acquire a second heel pressure value of the user.

The electronic device 200 includes a mobile phone, a tablet computer, a smart watch, and other devices capable of interacting with a user, and when the electronic device 200 interacts with the user, the interactive content can be displayed to the user through the interaction unit. The interaction unit may be a display screen, a touch screen or a speaker.

In the embodiment of the present invention, the electronic device 200 is used for executing the running posture correcting method, after the sensor assembly 100 worn by the user collects the running posture parameters of the user, the electronic device 200 compares the collected running posture parameters with the preset ideal parameters, and when the running posture parameters are not within the range of the preset ideal parameters, sends a running posture correction prompt carrying a running posture correction scheme to the user, so that the user can correct the running posture in time according to the running posture correction prompt, prevent the user from running with an incorrect running posture, reduce the exercise damage, and improve the training effect. It can be understood that, in the embodiment of the present invention, the interactive content of the electronic device 200 interacting with the user is a running posture correction reminder carrying a running posture correction scheme, and the running posture correction reminder may be a bullet screen text reminder, a voice reminder, or an identifier reminder, which is not limited specifically herein.

Further, please refer to fig. 2, which is a flowchart illustrating a running posture correction method according to an embodiment of the present invention, wherein the running posture correction method is applied to an electronic device for preventing a user from running with a wrong running posture, reducing exercise damage, and improving a training effect.

Specifically, the running posture correction method comprises the following steps:

s100: the running posture parameters of the user are collected through a sensor assembly worn by the user.

In an embodiment of the present invention, the running posture parameters include at least one of a forward inclination angle, a waist swing angle, a landing position, a step frequency, a step length, a touchdown time, an upper body swing angle, a hip joint flexion and extension angle, a knee joint flexion and extension angle, an upper arm and forearm included angle, and an arm movement plane and body included angle.

Wherein the forward inclination angle is an included angle between a trunk movement position and a trunk initial position in the running process of the user; the waist swing angle is an angle changed on the left side or the right side of the waist in the running process of the user, and is used for representing the change condition of the waist of the user in the running process; the landing position is the horizontal distance between the landing point and the gravity center of the body of the user in the running process, the landing position comprises a left foot landing position and a right foot landing position, the left foot landing position is the horizontal distance between the landing point of the left foot and the gravity center of the body of the user in the running process, and the right foot landing position is the horizontal distance between the landing point of the right foot and the gravity center of the body of the user in the running process; the step frequency is the sum of the left foot landing frequency and the right foot landing frequency in a preset unit time in the running process of the user; the step length is the sum of the left foot landing position and the right foot landing position which are adjacent in the running process of the user, and the step length is used for representing the span of each step in the running process of the user; the touchdown time is the time length of the contact between the user and the ground in the running process, the touchdown time comprises the left foot touchdown time and the right foot touchdown time, the left foot touchdown time is the time length of the contact between the user and the ground in the running process, and the right foot touchdown time is the time length of the contact between the user and the ground in the running process; the upper body swing angle is an angle changed on the left side or the right side of the shoulder of the user in the running process, and is used for representing the change condition of the shoulder of the user in the running process; the hip joint flexion and extension angle is a rotation angle of the hip joint when the hip joint is flexed and extended in the running process of the user, the hip joint flexion and extension angle comprises a left leg hip joint flexion and extension angle and a right leg hip joint flexion and extension angle, the left leg hip joint flexion and extension angle is a rotation angle of the left leg hip joint when the hip joint is flexed and extended in the running process of the user, and the right leg hip joint flexion and extension angle is a rotation angle of the right leg hip joint when the hip joint is retracted in the running process of the user; the knee joint flexion and extension angle is a rotation angle of the knee joint when the user bends and extends in the running process, the knee joint flexion and extension angle comprises a left leg knee joint flexion and extension angle and a right leg knee joint flexion and extension angle, the left leg knee joint flexion and extension angle is a rotation angle of the left leg knee joint when the user bends and extends in the running process, and the right leg knee joint flexion and extension angle is a rotation angle of the right leg knee joint when the user bends and extends in the running process; the included angle between the upper arm and the forearm is the included angle between the upper arm and the forearm of the user in the running process, the included angle between the upper arm and the forearm comprises the included angle between the upper arm of the left hand and the forearm and the included angle between the upper arm of the right hand and the forearm of the right hand, the included angle between the upper arm of the left hand and the forearm of the user in the running process, and the included angle between the upper arm of the right hand and the forearm of the right hand is the included angle between the upper arm of the right hand and the forearm of the user in the running process; the included angle between the arm motion surface and the body is the included angle between the forearm and the body of the user in the running process, the included angle between the arm motion surface and the body comprises the included angle between the arm motion surface and the body of the left hand and the included angle between the arm motion surface and the body of the right hand, the included angle between the arm motion surface and the body of the left hand is the included angle between the forearm and the body of the user in the running process, and the included angle between the arm motion surface and the body of the right hand is the included angle between the forearm and the body of the user in the running process.

In the embodiment of the invention, a world coordinate system is established by taking the gravity center of the user body as an origin, the width direction of the user body as the x-axis direction, the thickness direction of the user body as the y-axis direction and the height direction of the user body as the z-axis direction, and the direction from the left side to the right side of the user body is defined as the positive direction of the x-axis, the direction from the back side to the front side of the user body is defined as the positive direction of the y-axis and the direction from the lower side to the upper side of the user body is defined as the positive direction of the z-axis. The world coordinate system comprises an xy plane, an xz plane and a yz plane, and a normal vector of the xy plane

Normal vector of xz plane

Normal vector of yz plane

It will be appreciated that embodiments of the present invention determine the user's gesture parameters based on the world coordinate system.

When running appearance parameter is forward leaning angle, gather user's running appearance parameter through the sensor subassembly that the user wore, specifically include: firstly, acquiring first shoulder posture data, second shoulder posture data, first waist posture data and second waist posture data, wherein the first shoulder posture data comprise a first shoulder current coordinate, the second shoulder posture data comprise a second shoulder current coordinate, the first waist posture data comprise a first waist current coordinate, and the second waist posture data comprise a second waist current coordinate; secondly, determining a first midpoint coordinate according to the first shoulder current coordinate and the second shoulder current coordinate, and determining a second midpoint coordinate according to the first waist current coordinate and the second waist current coordinate; then, calculating a first vector according to a first projection coordinate of the first midpoint coordinate on a yz plane of the world coordinate system and a second projection coordinate of the second midpoint coordinate on the yz plane of the world coordinate system; and finally, calculating the forward inclination angle of the user according to the first vector and the normal vector of the xy plane of the world coordinate system.

The first shoulder posture data, the second shoulder posture data, the first waist posture data and the second waist posture data are mainly acquired through a trunk sensor in the sensor assembly.

The connecting line between the projection point of the first midpoint coordinate on the yz plane of the world coordinate system and the projection point of the second midpoint coordinate on the yz plane of the world coordinate system can represent the trunk movement position of the user in the running process, and the normal vector of the xy plane of the world coordinate system can represent the trunk initial position of the user in the running process, so that the included angle between the trunk movement position and the trunk initial position, namely the forward inclination angle, in the running process of the user can be calculated based on the first vector calculated by the first projection coordinate of the first midpoint coordinate on the yz plane of the world coordinate system and the second projection coordinate of the second midpoint coordinate on the yz plane of the world coordinate system and the normal vector of the xy plane of the world coordinate system.

In particular, a formula for calculating the forward-tilt angle of a userComprises the following steps:

wherein, theta₁In order to be the forward-leaning angle of the user,

is a normal vector of an xy plane of a world coordinate system,

is the first vector.

In an embodiment of the invention, the direction of the first vector points from the second projection coordinate to the first projection coordinate.

When running appearance parameter is waist swing angle, gather user's running appearance parameter through the sensor module that the user wore, specifically include: the method comprises the steps of acquiring first waist posture data and second waist posture data acquired by a sensor assembly, and calculating a waist swing angle of a user according to the acquired first waist posture data and the acquired second waist posture data.

Wherein, first waist gesture data and second waist gesture data mainly acquire through the trunk sensor among the sensor assembly.

The first waist pose data includes a first waist current coordinate and the second waist pose data includes a second waist current coordinate.

Based on this, according to first waist gesture data and second waist gesture data, calculate user's waist swing angle, include specifically: calculating a second vector according to a third projection coordinate of the first waist current coordinate on an xz plane of a world coordinate system and a fourth projection coordinate of the second waist current coordinate on the xz plane of the world coordinate system; and calculating the waist swing angle of the user according to the second vector and the normal vector of the yz plane of the world coordinate system.

Specifically, the formula for calculating the waist swing angle of the user is:

wherein, theta₂For the waist swing angle of the userThe degree of the magnetic field is measured,

is the normal vector of the yz plane of the world coordinate system,

is the second vector.

In an embodiment of the invention, the direction of the second vector points from the third projection coordinate to the fourth projection coordinate.

As another embodiment, the first lumbar pose data includes first lumbar initial coordinates and first lumbar current coordinates, and the second lumbar pose data includes second lumbar initial coordinates and second lumbar current coordinates.

Based on this, according to first waist gesture data and second waist gesture data, calculate user's waist swing angle, include specifically: calculating a third vector according to the first waist initial coordinate and the second waist initial coordinate, and calculating a fourth vector according to the first waist current coordinate and the second waist current coordinate; and calculating the waist swing angle of the user according to the third vector and the fourth vector.

The first waist initial coordinate and the second waist initial coordinate are data acquired by the waist left sensor and the waist right sensor at the same time in the user standing state, a third vector calculated based on the first waist initial coordinate and the second waist initial coordinate can represent the waist state of the user in the standing state, and a fourth vector calculated based on the first waist current coordinate and the second waist current coordinate can represent the current state of the waist of the user in the running process, so that the change condition of the waist of the user in the running process can be calculated according to the third vector and the fourth vector.

Specifically, the formula for calculating the waist swing angle of the user is:

wherein, theta₂In order to swing the angle of the user's waist,

in order to be the third vector, the vector is,

is the fourth vector.

The third vector and the fourth vector are in the same direction. When the direction of the third vector points to the second waist initial coordinate from the first waist initial coordinate, the direction of the fourth vector points to the second waist current coordinate from the first waist current coordinate; when the direction of the third vector points to the first waist initial coordinate from the second waist initial coordinate, the direction of the fourth vector points to the first waist current coordinate from the second waist current coordinate.

When running appearance parameter is the position of touchdown, gather user's running appearance parameter through the sensor subassembly that the user wore, specifically include: firstly, acquiring left foot sole pressure data and right foot sole pressure data acquired by a sensor assembly; then, determining a left foot landing mode of the user according to the left foot sole pressure data, and calculating a left foot landing position of the user according to the left foot landing mode; and determining the right foot landing mode of the user according to the foot sole pressure data of the right foot, and calculating the landing position of the right foot of the user according to the right foot landing mode.

Wherein, left foot sole pressure data includes first forefoot pressure value and first heel pressure value, and right foot sole pressure data includes second forefoot pressure value and second heel pressure value. The first forefoot pressure value is acquired through a left forefoot sensor in the sensor assembly, the first heel pressure value is acquired through a left heel sensor in the sensor assembly, the second forefoot pressure value is acquired through a right forefoot sensor in the sensor assembly, and the second heel pressure value is acquired through a right heel sensor in the sensor assembly.

Based on the above, when the left foot landing mode of the user is determined according to the left foot sole pressure data, if the first forefoot pressure value is larger than the first heel pressure value, the left foot landing mode of the user is determined to be that the forefoot lands; if the first forefoot pressure value is equal to the first heel pressure value, determining that the left foot landing mode of the user is full-palm landing; and if the first forefoot pressure value is smaller than the first heel pressure value, determining that the left foot landing mode of the user is heel landing.

When the left foot landing mode is the half-sole landing, calculating the left foot landing position of the user according to the first half-sole pressure value; when the left foot landing mode is full-sole landing, calculating the left foot landing position of the user according to the first forefoot pressure value or the first heel pressure value; and when the left foot landing mode is heel landing, calculating the left foot landing position of the user according to the first heel pressure value.

Wherein, according to the first half sole pressure value calculate user's left foot and touch down the position, specifically include: when the first half sole pressure value is continuously increased for a preset number of times, first ankle posture data collected by the sensor assembly is extracted, and the left foot landing position of the user is calculated according to the first ankle posture data.

In the embodiment of the present invention, the preset number of times is preferably 5 times, and when the first forefoot pressure value is continuously increased by 5 times, first ankle posture data acquired by the sensor assembly is extracted, and the first ankle posture data is acquired by a left lower leg sensor in the sensor assembly.

As a specific implementation manner, when the first forefoot pressure value increases for 5 consecutive times, it is determined that the first forefoot pressure value increases for 5 consecutive times.

Calculating the left foot landing position of the user according to the first heel pressure value, which specifically comprises the following steps: and when the first heel pressure value is continuously increased for a preset number of times, extracting first ankle posture data acquired by the sensor assembly, and calculating the landing position of the left foot of the user according to the first ankle posture data.

In the embodiment of the present invention, the preset number of times is preferably 5 times, and when the first heel pressure value is continuously increased by 5 times, the first ankle posture data acquired by the sensor assembly is extracted, and the first ankle posture data is acquired by a left lower leg sensor in the sensor assembly.

As a specific implementation manner, when the first heel pressure value increases for 5 consecutive moments, it is determined that the first heel pressure value increases for 5 consecutive times.

And determining the y-axis coordinate of the current coordinate of the first ankle joint as the landing position of the left foot of the user when calculating the landing position of the left foot of the user according to the first ankle joint posture data.

When the right foot landing mode of the user is determined according to the right foot sole pressure data, if the second forefoot pressure value is larger than the second heel pressure value, determining that the right foot landing mode of the user is that the forefoot lands; if the second forefoot pressure value is equal to the second heel pressure value, determining that the right foot landing mode of the user is full-palm landing; and if the second forefoot pressure value is smaller than the second heel pressure value, determining that the right foot landing mode of the user is heel landing.

When the right foot landing mode is the half-sole landing, calculating the right foot landing position of the user according to the second half-sole pressure value; when the right foot landing mode is full-sole landing, calculating the right foot landing position of the user according to the second half sole pressure value or the second heel pressure value; and when the right foot landing mode is heel landing, calculating the right foot landing position of the user according to the second heel pressure value.

Wherein, according to the second half sole pressure value, calculating the right foot landing position of the user specifically comprises: and when the second half sole pressure value is continuously increased for a preset number of times, extracting second ankle posture data acquired by the sensor assembly, and calculating the landing position of the right foot of the user according to the second ankle posture data.

In the embodiment of the present invention, the preset number of times is preferably 5 times, and when the second forefoot pressure value is continuously increased by 5 times, the second ankle posture data acquired by the sensor assembly is extracted, and the second ankle posture data is acquired by a right lower leg sensor in the sensor assembly.

As a specific implementation manner, when the second forefoot pressure value increases for 5 consecutive times, it is determined that the second forefoot pressure value increases for 5 consecutive times.

Calculating the right foot landing position of the user according to the second heel pressure value, which specifically comprises the following steps: and when the second heel pressure value is continuously increased for a preset number of times, extracting second ankle posture data acquired by the sensor assembly, and calculating the landing position of the right foot of the user according to the second ankle posture data.

In the embodiment of the present invention, the preset number of times is preferably 5 times, and when the second heel pressure value is continuously increased by 5 times, the second ankle posture data acquired by the sensor assembly is extracted, and the second ankle posture data is acquired by a right lower leg sensor in the sensor assembly.

As a specific implementation, when the second heel pressure value increases for 5 consecutive moments, it is determined that the second heel pressure value increases for 5 consecutive times.

And the second ankle joint posture data comprises a second ankle joint current coordinate, and based on the second ankle joint posture data, when the right foot landing position of the user is calculated according to the second ankle joint posture data, the y-axis coordinate of the second ankle joint current coordinate is determined as the right foot landing position of the user.

It can be understood that when determining the left foot landing mode of the user according to the left foot sole pressure data, calculating the left foot landing position of the user according to the first ankle joint posture data collected by the left lower leg sensor; when the right foot sitting mode of the user is determined according to the right foot angle pressure data, the right foot landing position of the user is calculated according to the second ankle joint posture data collected by the right lower leg sensor.

When the running posture parameter is the touchdown time, the touchdown time of the left foot of the user is calculated according to the left foot touchdown mode, and the touchdown time of the right foot of the user is calculated according to the right foot touchdown mode.

When the left foot landing mode is the half sole landing, calculating the left foot landing time of the user according to the first half sole pressure value; when the left foot landing mode is full-sole landing, calculating the left foot landing time of the user according to the first forefoot pressure value or the first heel pressure value; and when the left foot landing mode is heel landing, calculating the left foot landing time of the user according to the first heel pressure value.

Wherein, according to the first half sole pressure value, calculating the left foot touchdown time of the user specifically comprises: determining a duration of time that the first forefoot pressure value is greater than 0 as the user's left foot strike time. For example, assuming that the first forefoot pressure value begins greater than 0 at time t1 and begins equal to 0 at time t2, the duration from time t1 to time t2 is determined as the user's left foot strike time.

Calculating the left foot contact time of the user according to the first heel pressure value, specifically comprising: determining a duration of time that the first heel pressure value is greater than 0 as the user's left foot strike time. For example, assuming that the first heel pressure value begins greater than 0 at time t1 and begins equal to 0 at time t2, the duration of time from time t1 to time t2 is determined as the user's left foot contact time.

When the right foot landing mode is the half sole landing, calculating the right foot landing time of the user according to the second half sole pressure value; when the right foot landing mode is full-sole landing, calculating the right foot landing time of the user according to the second forefoot pressure value or the second heel pressure value; and when the right foot landing mode is heel landing, calculating the right foot landing time of the user according to the second heel pressure value.

Wherein, according to the second half sole pressure value, calculating the right foot touchdown time of the user specifically comprises: determining a duration of time that the second forefoot pressure value is greater than 0 as the user's right foot strike time. For example, assuming that the second forefoot pressure value begins greater than 0 at time t2 and begins equal to 0 at time t3, the duration from time t2 to time t3 is determined as the user's right foot strike time.

Calculating the right foot contact time of the user according to the second heel pressure value, specifically comprising: determining a duration of time that the second heel pressure value is greater than 0 as the user's right foot strike time. For example, assuming that the second heel pressure value begins greater than 0 at time t2 and begins equal to 0 at time t3, the duration of time from time t2 to time t3 is determined as the user's right foot contact time.

When the running posture parameter is the step frequency, the left foot landing times and the right foot landing times of the user in the preset unit time are determined according to the left foot landing mode or the right foot landing mode,

when the running posture parameter is the step frequency, determining the left foot landing times and the right foot landing times of the user in a preset unit time according to the left foot landing mode or the right foot landing mode, and determining the sum of the left foot landing times and the right foot landing times in the preset unit time as the step frequency of the user.

When the left foot landing times and the right foot landing times of the user in a preset unit time are determined according to the left foot landing mode, if the left foot landing mode is the half-sole landing, determining the left foot landing times and the right foot landing times of the user in the preset unit time according to a first half-sole pressure value; if the left foot landing mode is full-sole landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the first forefoot pressure value or the first heel pressure value; and if the left foot landing mode is heel landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the first heel pressure value.

When the left foot landing times and the right foot landing times of the user in the preset unit time are determined according to the first forefoot pressure value, the peak value quantity of the first forefoot pressure value in the preset unit time is determined as the left foot landing times of the user in the preset unit time, and the valley value quantity of the first forefoot pressure value in the preset unit time is determined as the right foot landing times of the user in the preset unit time.

It will be appreciated that the first forefoot pressure value varies periodically as the user's left foot strikes the ground and empties during running. When the left foot of the user touches the ground, the first half sole pressure value has a peak value, and at the moment, the right foot of the user is emptied; when the left foot of the user is empty, the first forefoot pressure value has a valley value, and at the moment, the right foot of the user touches the ground, so that the left foot touch frequency and the right foot touch frequency of the user in the preset unit time can be determined by counting the peak value quantity and the valley value quantity of the first forefoot pressure value in the preset unit time. Wherein, the valley value is between adjacent peak values, and the peak value is between adjacent valley values.

In the embodiment of the present invention, the preset unit time is preferably 1min, and if the number of peaks and the number of valleys of the first forefoot pressure value within 1min are 85 and 84, it is determined that the left foot of the user lands 85 times/min, the right foot of the user lands 84 times/min, and the step frequency of the user is 169 step/min.

When the left foot landing times and the right foot landing times of the user in the preset unit time are determined according to the first heel pressure value, the peak value quantity of the first heel pressure value in the preset unit time is determined as the left foot landing times of the user in the preset unit time, and the valley value quantity of the first heel pressure value in the preset unit time is determined as the right foot landing times of the user in the preset unit time.

It will be appreciated that the first heel pressure value varies periodically as the user's left foot contacts the ground and empties during running. When the left foot of the user touches the ground, the first heel pressure value has a peak value, and at the moment, the right foot of the user is emptied; when the left foot of the user is empty, the first heel pressure value has a valley value, and at the moment, the right foot of the user touches the ground, so that the left foot landing frequency and the right foot landing frequency of the user in the preset unit time can be determined by counting the number of the peak values and the number of the valley values of the first heel pressure value in the preset unit time. Wherein, the valley value is between adjacent peak values, and the peak value is between adjacent valley values.

In the embodiment of the invention, the preset unit time is preferably 1min, if the number of peaks and the number of valleys of the first heel pressure value within 1min are 85 and 84, it is determined that the left foot of the user lands 85 times/min, the right foot of the user lands 84 times/min, and the step frequency of the user is 169 step/min.

When the left foot landing times and the right foot landing times of the user in a preset unit time are determined according to the right foot landing mode, if the right foot landing mode is the half-sole landing, the left foot landing times and the right foot landing times of the user in the preset unit time are determined according to the second half-sole pressure value; if the right foot landing mode is full-sole landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the second forefoot pressure value or the second heel pressure value; and if the right foot landing mode is heel landing, determining the left foot landing times and the right foot landing times of the user in preset unit time according to the second heel pressure value.

When the left foot landing times and the right foot landing times of the user in the preset unit time are determined according to the second forefoot pressure value, the peak value quantity of the second forefoot pressure value in the preset unit time is determined as the right foot landing times of the user in the preset unit time, and the valley value quantity of the second forefoot pressure value in the preset unit time is determined as the left foot landing times of the user in the preset unit time.

It will be appreciated that the second forefoot pressure value varies periodically as the user's right foot strikes the ground and empties during running. When the right foot of the user touches the ground, the pressure value of the second half sole has a peak value, and at the moment, the left foot of the user is emptied; when the right foot of the user is empty, the second forefoot pressure value has a valley value, and at the moment, the left foot of the user touches the ground, so that the left foot touch frequency and the right foot touch frequency of the user in the preset unit time can be determined by counting the peak value quantity and the valley value quantity of the second forefoot pressure value in the preset unit time. Wherein, the valley value is between adjacent peak values, and the peak value is between adjacent valley values.

In the embodiment of the present invention, the preset unit time is preferably 1min, and if the number of peaks and the number of valleys of the second forefoot pressure value within 1min are 84 and 85, it is determined that the left foot of the user lands 85 times/min, the right foot of the user lands 84 times/min, and the step frequency of the user is 169 step/min.

And when the left foot landing times and the right foot landing times of the user in the preset unit time are determined according to the second heel pressure value, determining the peak value quantity of the second heel pressure value in the preset unit time as the right foot landing times of the user in the preset unit time, and determining the valley value quantity of the second heel pressure value in the preset unit time as the left foot landing times of the user in the preset unit time.

It will be appreciated that the second heel pressure value varies periodically during running of the user as the user's right foot contacts the ground and empties. When the right foot of the user touches the ground, the second heel pressure value has a peak value, and at the moment, the left foot of the user is emptied; when the right foot of the user is empty, the second heel pressure value has a valley value, and at the moment, the left foot of the user touches the ground, so that the left foot landing times and the right foot landing times of the user in the preset unit time can be determined by counting the peak value quantity and the valley value quantity of the second heel pressure value in the preset unit time. Wherein, the valley value is between adjacent peak values, and the peak value is between adjacent valley values.

In the embodiment of the invention, the preset unit time is preferably 1min, if the number of peaks and the number of valleys of the second heel pressure value within 1min are 84 and 85, it is determined that the left foot of the user lands 85 times/min, the right foot of the user lands 84 times/min, and the step frequency of the user is 169 step/min.

And when the running posture parameter is the step length, determining the sum of the adjacent left foot landing position and right foot landing position as the step length of the user. For example, as shown in fig. 3, a1 is the left foot landing position, a2 is the right foot landing position, and a1 and a2 are the adjacent left foot landing position and right foot landing position, and the step size of the user is determined by the sum of a1 and a 2.

When running appearance parameter is upper part of the body swing angle, gather user's running appearance parameter through the sensor module that the user wore, specifically include: the method comprises the steps of acquiring first shoulder posture data and second shoulder posture data acquired by a sensor assembly, and calculating the upper body swing angle of a user according to the acquired first shoulder posture data and second shoulder posture data.

The first shoulder posture data and the second shoulder posture data are mainly acquired through a trunk sensor in the sensor assembly.

The first shoulder pose data includes a first shoulder current coordinate and the second shoulder pose data includes a second shoulder current coordinate.

Based on this, according to first shoulder gesture data and second shoulder gesture data, calculate user's upper part of the body swing angle, specifically include: calculating a fifth vector according to a fifth projection coordinate of the first shoulder current coordinate on the xz plane of the world coordinate system and a sixth projection coordinate of the second shoulder current coordinate on the xz plane of the world coordinate system; and calculating the upper body swinging angle of the user according to the fifth vector and the normal vector of the yz plane of the world coordinate system.

Specifically, the formula for calculating the upper body swing angle of the user is:

wherein, theta₃For the swing angle of the upper body of the user,

is the normal vector of the yz plane of the world coordinate system,

is the fifth vector.

In an embodiment of the present invention, the direction of the fifth vector is directed from the fifth projection coordinate to the sixth projection coordinate.

As another embodiment, the first shoulder pose data includes first shoulder initial coordinates and first shoulder current coordinates, and the second shoulder pose data includes second shoulder initial coordinates and second shoulder current coordinates.

Based on this, according to first shoulder gesture data and second shoulder gesture data, calculate user's upper part of the body swing angle, specifically include: calculating a sixth vector according to the first shoulder initial coordinate and the second shoulder initial coordinate, and calculating a seventh vector according to the first shoulder current coordinate and the second shoulder current coordinate; and calculating the upper body swinging angle of the user according to the sixth vector and the seventh vector.

The first shoulder initial coordinate and the second shoulder initial coordinate are data collected by the shoulder left sensor and the shoulder right sensor at the same time in the user standing state, the sixth vector calculated based on the first shoulder initial coordinate and the second shoulder initial coordinate can represent the shoulder state in the user standing state, and the seventh vector calculated based on the first shoulder current coordinate and the second shoulder current coordinate can represent the current state of the shoulder of the user in the running process, so that the change condition of the shoulder of the user in the running process can be calculated according to the sixth vector and the seventh vector.

wherein, theta₃For the swing angle of the upper body of the user,

in order to be the sixth vector, the vector is,

is the seventh vector.

The directions of the sixth vector and the seventh vector are identical. When the direction of the sixth vector points to the second shoulder initial coordinate from the first shoulder initial coordinate, the direction of the seventh vector points to the second shoulder current coordinate from the first shoulder current coordinate; when the direction of the sixth vector points from the second shoulder initial coordinate to the first shoulder initial coordinate, the direction of the seventh vector points from the second shoulder current coordinate to the first shoulder current coordinate.

When running appearance parameter is hip joint flexion and extension angle, gather user's running appearance parameter through the sensor subassembly that the user wore, specifically include: acquiring first waist posture data and first knee posture data acquired by a sensor assembly, and calculating the hip flexion and extension angle of the left leg of the user according to the first waist posture data and the first knee posture data; and acquiring second waist posture data and second knee posture data acquired by the sensor assembly, and calculating the hip flexion and extension angle of the right leg of the user according to the second waist posture data and the second knee posture data.

The first waist posture data and the second waist posture data are mainly acquired through a trunk sensor in the sensor assembly, the first knee posture data are mainly acquired through a left thigh sensor in the sensor assembly, and the second knee posture data are mainly acquired through a right thigh sensor in the sensor assembly.

The first lumbar pose data includes first lumbar current coordinates, the first knee pose data includes first knee current coordinates, the second lumbar pose data includes second lumbar current coordinates, and the second knee pose data includes second knee current coordinates.

Based on this, the method for calculating the hip flexion and extension angle of the left leg of the user according to the first waist posture data and the first knee posture data specifically comprises the following steps: calculating an eighth vector according to a seventh projection coordinate of the first waist current coordinate on a yz plane of a world coordinate system and an eighth projection coordinate of the first knee current coordinate on the yz plane of the world coordinate system; and calculating the flexion and extension angle of the hip joint of the left leg of the user according to the eighth vector and the normal vector of the xy plane of the world coordinate system.

Specifically, the formula for calculating the flexion-extension angle of the hip joint of the left leg of the user is as follows:

wherein, theta₄For the flexion and extension angle of the hip joint of the left leg of the user,

is a normal vector of an xy plane of a world coordinate system,

is an eighth vector.

In the embodiment of the present invention, the direction of the eighth vector is directed from the seventh projection coordinate to the eighth projection coordinate.

Calculating the flexion and extension angle of the hip joint of the right leg of the user according to the second waist posture data and the second knee posture data, and specifically comprising the following steps: calculating a ninth vector according to a ninth projection coordinate of the second waist current coordinate on a yz plane of the world coordinate system and a tenth projection coordinate of the second knee current coordinate on the yz plane of the world coordinate system; and calculating the flexion and extension angle of the hip joint of the right leg of the user according to the ninth vector and the normal vector of the xy plane of the world coordinate system.

Specifically, the formula for calculating the flexion-extension angle of the hip joint of the right leg of the user is as follows:

wherein, theta₅For the flexion and extension angle of the hip joint of the right leg of the user,

is a normal vector of an xy plane of a world coordinate system,

is the ninth vector.

In the embodiment of the present invention, the direction of the ninth vector is directed from the ninth projection coordinate to the tenth projection coordinate.

As another embodiment, the first lumbar pose data includes first lumbar initial coordinates and first lumbar current coordinates, the first knee pose data includes first knee initial coordinates and first knee current coordinates, the second lumbar pose data includes second lumbar initial coordinates and second lumbar current coordinates, and the second knee pose data includes second knee initial coordinates and second knee current coordinates.

Based on this, the method for calculating the hip flexion and extension angle of the left leg of the user according to the first waist posture data and the first knee posture data specifically comprises the following steps: calculating a tenth vector according to the first waist initial coordinate and the first knee initial coordinate, and calculating an eleventh vector according to the first waist current coordinate and the first knee current coordinate; and calculating the flexion and extension angle of the hip joint of the left leg of the user according to the tenth vector and the eleventh vector.

The first waist initial coordinate and the first knee initial coordinate are data collected by the waist left side sensor and the left thigh sensor at the same time in the user standing state, a tenth vector calculated based on the first waist initial coordinate and the first knee initial coordinate can represent the left leg hip joint state in the user standing state, and an eleventh vector calculated based on the first waist current coordinate and the first knee current coordinate can represent the current state of the left leg hip joint in the user running process, so that the change condition of the left leg hip joint in the user running process can be calculated according to the tenth vector and the eleventh vector.

is the tenth vector, and the vector is,

is the eleventh vector.

The tenth and eleventh vectors are in the same direction. When the direction of the tenth vector points to the initial coordinate of the first knee from the initial coordinate of the first waist, the direction of the eleventh vector points to the current coordinate of the first knee from the current coordinate of the first waist; when the direction of the tenth vector points from the first knee initial coordinate to the first waist initial coordinate, the direction of the eleventh vector points from the first knee current coordinate to the first waist current coordinate.

Calculating the flexion and extension angle of the hip joint of the right leg of the user according to the second waist posture data and the second knee posture data, and specifically comprising the following steps: calculating a twelfth vector according to the second waist initial coordinate and the second knee initial coordinate, and calculating a thirteenth vector according to the second waist current coordinate and the second knee current coordinate; and calculating the flexion and extension angle of the hip joint of the right leg of the user according to the twelfth vector and the thirteenth vector.

The second waist initial coordinate and the second knee initial coordinate are data collected by the waist right sensor and the right thigh sensor at the same time in the user standing state, a twelfth vector calculated based on the second waist initial coordinate and the second knee initial coordinate can represent the right leg hip joint state in the user standing state, and a thirteenth vector calculated based on the second waist current coordinate and the second knee current coordinate can represent the current state of the right leg hip joint in the user running process, so that the change condition of the right leg hip joint in the user running process can be calculated according to the twelfth vector and the thirteenth vector.

is the twelfth vector, and the vector is,

is the thirteenth vector.

The directions of the twelfth vector and the thirteenth vector coincide. When the direction of the twelfth vector points to the initial coordinate of the second knee from the initial coordinate of the second waist, the direction of the thirteenth vector points to the current coordinate of the second knee from the current coordinate of the second waist; when the direction of the twelfth vector points from the second knee initial coordinate to the second waist initial coordinate, the direction of the thirteenth vector points from the second knee current coordinate to the second waist current coordinate.

When running appearance parameter is knee joint flexion and extension angle, gather user's running appearance parameter through the sensor subassembly that the user wore, specifically include: acquiring first waist posture data, first knee posture data and first ankle posture data acquired by a sensor assembly, and calculating the bending and stretching angle of the left leg and knee joint of a user according to the first waist posture data, the first knee posture data and the first ankle posture data; and acquiring second waist posture data, second knee posture data and second ankle posture data acquired by the sensor assembly, and calculating the right leg and knee joint flexion and extension angle of the user according to the second waist posture data, the second knee posture data and the second ankle posture data.

The first waist posture data and the second waist posture data are mainly acquired through a trunk sensor in the sensor assembly, the first knee posture data are mainly acquired through a left thigh sensor in the sensor assembly, the second knee posture data are mainly acquired through a right thigh sensor in the sensor assembly, the first ankle joint posture data are mainly acquired through a left shank sensor in the sensor assembly, and the second ankle joint posture data are mainly acquired through a right shank sensor in the sensor assembly.

The first waist posture data includes a first waist current coordinate, the first knee posture data includes a first knee current coordinate, the first ankle posture data includes a first ankle current coordinate, the second waist posture data includes a second waist current coordinate, the second knee posture data includes a second knee current coordinate, and the second ankle posture data includes a second ankle current coordinate.

Based on this, the method for calculating the left leg and knee joint flexion and extension angle of the user according to the first waist posture data, the first knee posture data and the first ankle posture data specifically comprises the following steps: calculating a fourteenth vector according to the current coordinates of the first waist and the first knee, and calculating a fifteenth vector according to the current coordinates of the first knee and the current coordinates of the first ankle joint; and calculating the flexion and extension angle of the left leg and knee joint of the user according to the fourteenth vector and the fifteenth vector.

Specifically, the formula for calculating the flexion and extension angles of the left leg and knee joint of the user is as follows:

wherein, theta₆For the flexion and extension angles of the left leg and knee joint of the user,

in order to be the fourteenth vector, the vector,

is the fifteenth vector.

And the direction of the fourteenth vector points to the first waist current coordinate from the first knee current coordinate, and the direction of the fifteenth vector points to the first ankle joint current coordinate from the first knee current coordinate.

Calculating the right leg and knee joint flexion and extension angle of the user according to the second waist posture data, the second knee posture data and the second ankle joint posture data, and specifically comprising the following steps: calculating a sixteenth vector according to the current coordinates of the second waist and the second knee, and calculating a seventeenth vector according to the current coordinates of the second knee and the second ankle; and calculating the flexion and extension angles of the right leg and knee joint of the user according to the sixteenth vector and the seventeenth vector.

Specifically, the formula for calculating the flexion-extension angle of the right leg and knee joint of the user is as follows:

wherein, theta₇For the flexion and extension angle of the knee joint of the right leg of the user,

in order to be the sixteenth vector, the vector,

is the seventeenth vector.

And the direction of the sixteenth vector points to the current coordinate of the second waist from the current coordinate of the second knee, and the direction of the seventeenth vector points to the current coordinate of the second ankle joint from the current coordinate of the second knee.

When running the appearance parameter and be upper arm and forearm contained angle, gather user's running appearance parameter through the sensor module that the user wore, specifically include: acquiring first shoulder posture data, first elbow posture data and first wrist posture data acquired by a sensor assembly, and calculating an included angle between the left upper arm and the forearm of a user according to the first shoulder posture data, the first elbow posture data and the first wrist posture data; and acquiring second shoulder posture data, second elbow posture data and second wrist posture data acquired by the sensor assembly, and calculating the included angle between the upper arm of the right hand and the forearm of the user according to the second shoulder posture data, the second elbow posture data and the second wrist posture data.

Wherein, first shoulder gesture data and second shoulder gesture data mainly obtain through truck sensor acquisition in the sensor module, and first elbow gesture data mainly obtain through the collection of the upper left arm sensor among the sensor module, and second elbow gesture data mainly obtain through the collection of the upper right arm sensor among the sensor module, and first wrist gesture data mainly obtain through the collection of the forearm sensor among the sensor module left, and second wrist gesture data mainly obtain through the collection of the forearm sensor among the sensor module right.

This first shoulder gesture data includes first shoulder current coordinate, and first wrist gesture data includes first wrist current coordinate, and second shoulder gesture data includes second shoulder current coordinate, and second wrist gesture data includes second wrist current coordinate.

Based on this, according to first shoulder gesture data, first elbow gesture data and first wrist gesture data calculation user's left upper arm and forearm contained angle, specifically include: calculating an eighteenth vector according to the current coordinates of the first shoulder and the current coordinates of the first elbow, and calculating a nineteenth vector according to the current coordinates of the first elbow and the current coordinates of the first wrist; and calculating the included angle between the upper arm of the left hand and the forearm of the user according to the eighteenth vector and the nineteenth vector.

Specifically, the formula for calculating the included angle between the upper arm of the left hand and the forearm of the user is as follows:

wherein, theta₈The included angle between the upper arm of the left hand and the forearm of the user,

is the eighteenth vector and is the vector,

is the nineteenth vector.

And the direction of the eighteenth vector points to the current coordinate of the first shoulder from the current coordinate of the first elbow, and the direction of the nineteenth vector points to the current coordinate of the first wrist from the current coordinate of the first elbow.

Calculating the included angle between the upper arm of the right hand and the forearm of the user according to the second shoulder posture data, the second elbow posture data and the second wrist posture data, and specifically comprising: calculating a twentieth vector according to the current coordinates of the second shoulder and the current coordinates of the second elbow, and calculating a twenty-first vector according to the current coordinates of the second elbow and the current coordinates of the second wrist; and calculating the included angle between the upper arm of the right hand and the forearm of the user according to the twentieth vector and the twenty-first vector.

Specifically, the formula for calculating the included angle between the upper arm and the forearm of the right hand of the user is as follows:

wherein, theta₉The included angle between the upper arm of the right hand of the user and the forearm,

the twenty-th vector is the vector of the second,

is the twenty-first vector.

And the direction of the twentieth vector points to the second shoulder current coordinate from the second elbow current coordinate, and the direction of the twenty-first vector points to the second wrist current coordinate from the second elbow current coordinate.

When running appearance parameter is arm motion face and health contained angle, gather user's running appearance parameter through the sensor module that the user wore, specifically include: acquiring first elbow posture data, first waist posture data and second waist posture data acquired by a sensor assembly, and calculating an included angle between a left arm motion surface and a body of a user according to the first elbow posture data, the first waist posture data and the second waist posture data; acquiring second elbow posture data, first waist posture data and second waist posture data acquired by the sensor assembly, and calculating the included angle between the motion surface of the right hand and the arm of the user and the body of the user according to the second elbow posture data, the first waist posture data and the second waist posture data.

Wherein, first waist gesture data and second waist gesture data mainly obtain through the truck sensor collection among the sensor assembly, and first elbow gesture data mainly obtain through the upper left arm sensor collection among the sensor assembly, and second elbow gesture data mainly obtain through the upper right arm sensor collection among the sensor assembly.

This first hand elbow posture data includes first hand elbow current coordinate and first hand elbow time of week coordinate, and second hand elbow posture data includes second hand elbow current coordinate and second hand elbow time of week coordinate, and first waist posture data includes first waist current coordinate, second waist posture data second waist current coordinate.

Based on this, according to first elbow gesture data, first waist gesture data and second waist gesture data calculation user's left hand arm motion face and health contained angle, specifically include: calculating a twenty-second vector according to the current coordinate of the first elbow and the coordinate of the first elbow at the previous moment, and calculating a twenty-third vector according to the current coordinate of the first waist and the current coordinate of the second waist; and calculating the included angle between the motion surface of the left arm and the body of the user according to the twenty-second vector and the twenty-third vector.

Specifically, the formula for calculating the included angle between the motion surface of the left arm and the body of the user is as follows:

wherein, theta₁₀The included angle between the motion surface of the left arm and the body of the user,

is a second twelve-vector, and the vector is a vector,

is the twenty-third vector.

The direction of the twenty-second vector points to the current coordinate of the first elbow from the coordinate of the first elbow at the previous moment, and the direction of the twenty-third vector points to the current coordinate of the second waist from the current coordinate of the first waist.

Calculating the included angle between the motion surface of the right hand and the arm of the user and the body according to the second elbow posture data, the first waist posture data and the second waist posture data, and specifically comprising: calculating a twenty-fourth vector according to the current coordinate of the second elbow and the coordinate of the second elbow at the previous moment, and calculating a twenty-fifth vector according to the current coordinate of the first waist and the current coordinate of the second waist; and calculating the included angle between the motion surface of the right hand and the arm of the user and the body according to the twenty-fourth vector and the twenty-fifth vector.

Specifically, the formula for calculating the included angle between the motion surface of the right hand and the arm of the user and the body is as follows:

wherein, theta₁₁The included angle between the motion surface of the right hand and the arm of the user and the body is,

in order to be the twenty-fourth vector,

is the twenty-fifth vector.

And the direction of the twenty-fourth vector points to the current coordinate of the second elbow from the coordinate of the second elbow at the previous moment, and the direction of the twenty-fifth vector points to the current coordinate of the first waist from the current coordinate of the second waist.

S200: comparing the running posture parameter with a preset ideal parameter;

s300: and if the running posture parameter is not in the range of the preset ideal parameter, sending a running posture correction prompt to the user, and carrying a running posture correction scheme.

In the embodiment of the invention, the running posture parameters comprise at least one of a forward inclination angle, a waist swing angle, a landing position, a step frequency, a step length, a touchdown time, an upper body swing angle, a hip joint flexion and extension angle, a knee joint flexion and extension angle, an upper arm and forearm included angle and an arm movement plane and body included angle.

Therefore, when the types of the running posture parameters are different, the different preset ideal parameters are corresponding to the different types of the running posture parameters.

Based on the method, a database is established in advance, and the database comprises preset running posture parameter types and preset ideal parameters corresponding to the preset running posture parameter types. In the database, the preset running posture parameter types comprise a forward inclination angle, a waist swing angle, a landing position, a step frequency, a step length, a touchdown time, an upper body swing angle, a hip joint flexion and extension angle, a knee joint flexion and extension angle, an upper arm and forearm included angle and an arm movement plane and body included angle. When the preset posture running parameter type is the forward inclination angle, the corresponding preset ideal parameter is a preset forward inclination angle ideal parameter; when the preset running posture parameter type is the waist swinging angle, the corresponding preset ideal parameter is a preset waist swinging angle ideal parameter; when the preset running posture parameter type is the landing position, the corresponding preset ideal parameter is a preset landing position ideal parameter; when the type of the preset running posture parameter is the step frequency, the corresponding preset ideal parameter is a preset step frequency ideal parameter; when the type of the preset running posture parameter is the step length, the corresponding preset ideal parameter is a preset step length ideal parameter; when the preset running posture parameter type is the touchdown time, the corresponding preset ideal parameter is a preset touchdown time ideal parameter; when the preset running posture parameter type is the upper body swinging angle, the corresponding preset ideal parameter is a preset upper body swinging angle ideal parameter; when the preset running posture parameter type is the hip joint flexion and extension angle, the corresponding preset ideal parameter is a preset hip joint flexion and extension angle ideal parameter; when the preset running posture parameter type is the knee joint flexion and extension angle, the corresponding preset ideal parameter is a preset knee joint flexion and extension angle ideal parameter; when the preset posture parameter type is the included angle between the upper arm and the forearm, the corresponding preset ideal parameter is the preset ideal parameter of the included angle between the upper arm and the forearm; when the preset posture parameter type is the angle between the arm moving surface and the body, the corresponding preset ideal parameter is the preset ideal parameter of the angle between the arm moving surface and the body.

At the moment, before the step of comparing the running posture parameter with the preset ideal parameter, the type of the running posture parameter is determined, and the preset ideal parameter corresponding to the type of the running posture parameter is determined as the preset ideal parameter of the running posture parameter.

For example, when the type of the running posture parameter is the forward inclination angle, the preset forward inclination angle ideal parameter is determined as the preset ideal parameter of the forward inclination angle, at the moment, the forward inclination angle is compared with the preset forward inclination angle ideal parameter, and if the forward inclination angle is not within the range of the preset forward inclination angle ideal parameter, a running posture correction prompt is sent to the user; when the type of the running posture parameter is the waist swing angle, determining the preset waist swing angle ideal parameter as the preset ideal parameter of the waist swing angle, comparing the waist swing angle with the preset waist swing angle ideal parameter, and if the waist swing angle is not within the range of the preset waist swing angle ideal parameter, sending a running posture correction prompt to the user.

Wherein, the running posture correction scheme carried by the running posture correction reminding corresponds to the type of the running posture parameter. For example, when the current inclination angle is not within the range of the preset ideal parameter of the forward inclination angle, a running posture correction scheme carried by the running posture correction prompt sent to the user is used for correcting the forward inclination angle of the user in the running process, for example, a method for adjusting the forward inclination angle and an adjustment range are displayed to the user; when the waist swing angle is not within the range of the preset waist swing angle ideal parameter, the running posture correction scheme carried by the running posture correction reminder sent to the user is used for correcting the waist swing angle of the user in the running process, for example, a method for adjusting the waist swing angle and the adjustment range are displayed to the user.

It is understood that when the number of running posture parameters is greater than 1, steps S200 and S300 are respectively performed for each type of running posture parameter.

For example, when the running posture parameters include a forward inclination angle and a waist swing angle, comparing the forward inclination angle with a preset forward inclination angle ideal parameter, and if the forward inclination angle is not within the range of the preset forward inclination angle ideal parameter, sending a running posture correction prompt to the user; and then comparing the waist swing angle with the preset waist swing angle ideal parameter, and if the waist swing angle is not within the range of the preset waist swing angle ideal parameter, sending a running posture correction prompt to the user.

Further, in some embodiments, after the step of collecting the running posture parameters of the user through the sensor assembly worn by the user, the running posture score of the user is also calculated according to the running posture parameters, and the running posture score is sent to the user.

Preferably, in the embodiment of the present invention, the running gesture score of the user can be calculated according to the forward-leaning angle, the waist swing angle, the landing position, the step frequency and the touchdown time of the user.

Further, please refer to fig. 4, which is a schematic structural diagram of a running posture correcting apparatus according to an embodiment of the present invention, wherein functions of modules of the running posture correcting apparatus are executed by an electronic device, so as to prevent a user from running in a wrong running posture, reduce exercise damage, and improve training effect.

Specifically, this running posture correction device includes:

the acquisition module 10 is used for acquiring running posture parameters of a user through a sensor assembly worn by the user;

a comparison module 20, configured to compare the running posture parameter with a preset ideal parameter;

and the sending module 30 is configured to send a running posture correction prompt to the user when the running posture parameter is not within the range of the preset ideal parameter, where the running posture correction prompt carries a running posture correction scheme.

In some embodiments, the running posture parameters include at least one of a forward tilt angle, a waist swing angle, a landing position, a step frequency, a step size, a ground contact time, an upper body swing angle, a hip flexion and extension angle, a knee flexion and extension angle, an upper arm and forearm angle, and an arm movement plane and body angle.

In some embodiments, when the heading parameter is an anteversion angle, the acquisition module 10 is specifically configured to:

In some embodiments, when the running posture parameter is a waist swing angle, the acquisition module 10 is specifically configured to:

In some embodiments, the first lumbar pose data comprises a first lumbar current coordinate and the second lumbar pose data comprises a second lumbar current coordinate; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the first lumbar pose data comprises first lumbar initial coordinates and first lumbar current coordinates, and the second lumbar pose data comprises second lumbar initial coordinates and second lumbar current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the landing positions include a left foot landing position and a right foot landing position; then, when the running posture parameter is a landing position, the acquisition module 10 is specifically configured to:

In some embodiments, the left plantar pressure data includes a first forefoot pressure value and a first heel pressure value, and the right plantar pressure data includes a second forefoot pressure value and a second heel pressure value; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the acquisition module 10 is specifically configured to:

In some embodiments, the touchdown time comprises a left foot touchdown time and a right foot touchdown time; then the process of the first step is carried out,

when the running posture parameter is touchdown time, the acquisition module 10 is further configured to:

In some embodiments, the acquisition module 10 is specifically configured to:

In some embodiments, when the running posture parameter is a running frequency, the acquisition module 10 is further configured to:

In some embodiments, the acquisition module 10 is specifically configured to:

In some embodiments, the acquisition module 10 is further configured to:

determining the sum of the adjacent left foot landing positions and the adjacent right foot landing positions as the step length of the user.

In some embodiments, when the running posture parameter is an upper body swing angle, the acquisition module 10 is specifically configured to:

In some embodiments, the first shoulder pose data comprises first shoulder current coordinates and the second shoulder pose data comprises second shoulder current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the first shoulder pose data comprises first shoulder initial coordinates and first shoulder current coordinates, and the second shoulder pose data comprises second shoulder initial coordinates and second shoulder current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the hip flexion-extension angle comprises a left leg hip flexion-extension angle and a right leg hip flexion-extension angle; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the first lumbar pose data comprises first lumbar current coordinates, the first knee pose data comprises first knee current coordinates, the second lumbar pose data comprises second lumbar current coordinates, and the second knee pose data comprises second knee current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the first lumbar pose data comprises first lumbar initial coordinates and first lumbar current coordinates, the first knee pose data comprises first knee initial coordinates and first knee current coordinates, the second lumbar pose data comprises second lumbar initial coordinates and second lumbar current coordinates, and the second knee pose data comprises second knee initial coordinates and second knee current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the knee joint flexion and extension angles include a left knee joint flexion and extension angle and a right knee joint flexion and extension angle; then the process of the first step is carried out,

when the running posture parameter is the knee joint flexion and extension angle, the acquisition module 10 is specifically configured to:

In some embodiments, the first waist pose data comprises a first waist current coordinate, the first knee pose data comprises a first knee current coordinate, the first ankle pose data comprises a first ankle current coordinate, the second waist pose data comprises a second waist current coordinate, the second knee pose data comprises a second knee current coordinate, the second ankle pose data comprises a second ankle current coordinate; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the upper arm to forearm angle comprises a left hand upper arm to forearm angle and a right hand upper arm to forearm angle; then the process of the first step is carried out,

when the running posture parameter is an included angle between the upper arm and the forearm, the acquisition module 10 is specifically configured to:

In some embodiments, the first shoulder pose data comprises first shoulder current coordinates, the first elbow pose data comprises first elbow current coordinates, the first wrist pose data comprises first wrist current coordinates, the second shoulder pose data comprises second shoulder current coordinates, the second elbow pose data comprises second elbow current coordinates, the second wrist pose data comprises second wrist current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

In some embodiments, the arm motion surface and body included angle comprises a left arm motion surface and body included angle and a right arm motion surface and body included angle; then the process of the first step is carried out,

when the running posture parameter is an included angle between an arm moving surface and a body, the acquisition module 10 is specifically used for:

In some embodiments, the first elbow pose data comprises first elbow current coordinates and first elbow previous time coordinates, the second elbow pose data comprises second elbow current coordinates and second elbow previous time coordinates, the first lumbar pose data comprises first lumbar current coordinates, and the second lumbar pose data comprises second lumbar current coordinates; then the process of the first step is carried out,

the acquisition module 10 is specifically configured to:

Referring to fig. 5, in some embodiments, the running posture correcting apparatus further includes:

a calculating module 40, configured to calculate a running posture score of the user according to the running posture parameter;

the sending module 30 is further configured to send the running gesture score to the user.

Since the apparatus embodiment and the method embodiment are based on the same concept, the contents of the apparatus embodiment may refer to the method embodiment on the premise that the contents do not conflict with each other, and are not described in detail herein.

In some alternative embodiments, the above-mentioned acquisition module 10, comparison module 20, transmission module 30 and calculation module 40 may be processing chips of electronic devices.

Further, please refer to fig. 6, which is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, including:

one or more processors 210 and memory 220. In fig. 6, one processor 210 is taken as an example.

The processor 210 and the memory 220 may be connected by a bus or other means, such as the bus connection shown in fig. 6.

The memory 220 is a non-volatile computer-readable storage medium and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to a running posture correction method and modules corresponding to a running posture correction apparatus (e.g., the acquisition module 10, the comparison module 20, the transmission module 30, and the calculation module 40, etc.) in the above embodiments of the present invention. The processor 210 executes various functional applications and data processing of a running posture correction method by running nonvolatile software programs, instructions and modules stored in the memory 220, namely, implementing a running posture correction method in the above method embodiments and functions of the various modules of the above apparatus embodiments.

The memory 220 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the stored data area may store data created according to use of a running posture correcting apparatus, and the like.

The storage data area also stores preset data.

Further, the memory 220 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 220 may optionally include memory located remotely from processor 210, which may be connected to processor 210 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Program instructions and one or more modules are stored in memory 220, and when executed by the one or more processors 210, perform the steps of a running posture correction method in any of the above-described method embodiments, or implement the functions of the modules of a running posture correction apparatus in any of the above-described apparatus embodiments.

The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the above-described embodiments of the present invention.

Embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions, which are executed by one or more processors, such as a processor 210 in fig. 6, to enable a computer to perform the steps of a running posture correction method in any of the above-mentioned method embodiments, or to implement the functions of the modules of a running posture correction apparatus in any of the above-mentioned apparatus embodiments.

Embodiments of the present invention further provide a computer program product including a program code, where when the computer program product runs on an electronic device, the electronic device can perform each step of a running posture correction method in any of the above method embodiments, or implement functions of each module of a running posture correction apparatus in any of the above apparatus embodiments.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with computer program instructions, and that the programs can be stored in a computer readable storage medium, and when executed, can include processes of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A running posture correcting method is characterized by comprising the following steps:

comparing the running posture parameter with a preset ideal parameter;

2. The method of claim 1, wherein the running posture parameters comprise at least one of a forward roll angle, a waist swing angle, a landing position, a stride frequency, a stride length, a touchdown time, an upper body swing angle, a hip flexion and extension angle, a knee flexion and extension angle, an upper arm to forearm angle, and an arm plane of motion to body angle.

3. The method according to claim 2, wherein when the running posture parameter is a forward inclination angle, the acquiring the running posture parameter of the user by a sensor assembly worn by the user specifically comprises:

4. The method according to claim 2, wherein when the running posture parameter is a waist swing angle, the acquiring the running posture parameter of the user by a sensor component worn by the user specifically comprises:

5. The method of claim 4, wherein the first lumbar pose data comprises first lumbar current coordinates and the second lumbar pose data comprises second lumbar current coordinates; then the process of the first step is carried out,

6. The method of claim 4, wherein the first lumbar pose data comprises first lumbar initial coordinates and first lumbar current coordinates and the second lumbar pose data comprises second lumbar initial coordinates and second lumbar current coordinates; then the process of the first step is carried out,

7. The method of claim 2, wherein the landing positions include a left foot landing position and a right foot landing position; then the process of the first step is carried out,

8. The method of claim 7, wherein the left plantar pressure data includes a first forefoot pressure value and a first heel pressure value and the right plantar pressure data includes a second forefoot pressure value and a second heel pressure value; then the process of the first step is carried out,

9. The method of claim 8,

the calculating the left foot landing position of the user according to the left foot landing mode specifically comprises:

10. The method of claim 9,

the calculating the left foot landing position of the user according to the first forefoot pressure value specifically includes:

11. The method of claim 8, wherein the touchdown time comprises a left foot touchdown time and a right foot touchdown time; then the process of the first step is carried out,

12. The method of claim 11,

the calculating the left foot touchdown time of the user according to the left foot touchdown mode specifically comprises:

13. The method of claim 12,

the calculating the left foot contact time of the user according to the first forefoot pressure value specifically includes:

14. The method of claim 8, wherein when the running gesture parameter is a stride frequency, the method further comprises:

15. The method of claim 14,

the determining the left foot landing times and the right foot landing times of the user in a preset unit time according to the left foot landing mode specifically comprises:

16. The method of claim 15,

the determining, according to the first forefoot pressure value, the left foot landing frequency and the right foot landing frequency of the user in a preset unit time specifically includes:

17. The method according to claim 7, wherein a sum of adjacent left and right foot landing positions is determined as the user's stride length.

18. The method according to claim 2, wherein when the running posture parameter is an upper body swing angle, the acquiring the running posture parameter of the user by a sensor component worn by the user specifically comprises:

19. The method of claim 18, wherein the first shoulder pose data comprises first shoulder current coordinates and the second shoulder pose data comprises second shoulder current coordinates; then the process of the first step is carried out,

20. The method of claim 18, wherein the first shoulder pose data comprises first shoulder initial coordinates and first shoulder current coordinates, and the second shoulder pose data comprises second shoulder initial coordinates and second shoulder current coordinates; then the process of the first step is carried out,

21. The method of claim 2, wherein the hip flexion-extension angles include a left leg hip flexion-extension angle and a right leg hip flexion-extension angle; then the process of the first step is carried out,

22. The method of claim 21, wherein the first lumbar pose data comprises first lumbar current coordinates, the first knee pose data comprises first knee current coordinates, the second lumbar pose data comprises second lumbar current coordinates, and the second knee pose data comprises second knee current coordinates; then the process of the first step is carried out,

23. The method of claim 21, wherein the first lumbar pose data comprises first lumbar initial coordinates and first lumbar current coordinates, the first knee pose data comprises first knee initial coordinates and first knee current coordinates, the second lumbar pose data comprises second lumbar initial coordinates and second lumbar current coordinates, and the second knee pose data comprises second knee initial coordinates and second knee current coordinates; then the process of the first step is carried out,

24. The method of claim 2, wherein the knee flexion-extension angles include a left knee flexion-extension angle and a right knee flexion-extension angle; then the process of the first step is carried out,

25. The method of claim 24, wherein the first lumbar pose data comprises first lumbar current coordinates, the first knee pose data comprises first knee current coordinates, the first ankle joint pose data comprises first ankle joint current coordinates, the second lumbar pose data comprises second lumbar current coordinates, the second knee pose data comprises second knee current coordinates, and the second ankle joint pose data comprises second ankle joint current coordinates; then the process of the first step is carried out,

26. The method of claim 2, wherein the upper arm to forearm angle comprises a left hand upper arm to forearm angle and a right hand upper arm to forearm angle; then the process of the first step is carried out,

27. The method of claim 26, wherein the first shoulder pose data comprises first shoulder current coordinates, the first elbow pose data comprises first elbow current coordinates, the first wrist pose data comprises first wrist current coordinates, the second shoulder pose data comprises second shoulder current coordinates, the second elbow pose data comprises second elbow current coordinates, the second wrist pose data comprises second wrist current coordinates; then the process of the first step is carried out,

28. The method of claim 2, wherein the arm motion plane and body angle comprises a left hand arm motion plane and body angle and a right hand arm motion plane and body angle; then the process of the first step is carried out,

29. The method of claim 28, wherein the first elbow pose data comprises first elbow current coordinates and first elbow previous time coordinates, wherein the second elbow pose data comprises second elbow current coordinates and second elbow previous time coordinates, wherein the first lumbar pose data comprises first lumbar current coordinates, and wherein the second lumbar pose data comprises second lumbar current coordinates; then the process of the first step is carried out,

30. The method of any one of claims 1 to 29, wherein after the step of collecting the user's running posture parameters by a sensor assembly worn by the user, the method further comprises:

sending the running gesture score to the user.

31. A running posture correcting device, comprising:

32. A running posture correcting system, comprising:

a sensor assembly; and the number of the first and second groups,

an electronic device in communicative connection with the sensor assembly;

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a running posture correction method as claimed in any one of claims 1 to 30.

33. A computer program product comprising program code which, when run on an electronic device, causes the electronic device to perform a running posture correction method as claimed in any one of claims 1 to 30.