CN111968349A - Human body abnormal posture identification method and correction device based on six-axis sensor - Google Patents

Human body abnormal posture identification method and correction device based on six-axis sensor Download PDF

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CN111968349A
CN111968349A CN202010793000.7A CN202010793000A CN111968349A CN 111968349 A CN111968349 A CN 111968349A CN 202010793000 A CN202010793000 A CN 202010793000A CN 111968349 A CN111968349 A CN 111968349A
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posture
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田晓光
孙赛伟
周东辉
秦飞跃
刘丽娜
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Huanghe Jiaotong University
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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    • G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems

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Abstract

The invention discloses a human body abnormal posture identification method and a correction device based on a six-axis sensor, the device comprises a vest body, the back of the vest body is fixed with the sensor, a main control circuit is fixed on the vest body, the sensor is respectively arranged at the two scapulae and the waist spine of the human body corresponding to the vest, a reminding module is fixed on the vest body, the main control circuit is composed of a microprocessor and a power module, the microprocessor is respectively connected with the sensor and the reminding module, the power module is respectively connected with the microprocessor, the sensor and the reminding module, an external interface is arranged on the power module, and a battery is connected with the power module through the external interface. The invention gets rid of the traditional posture correction method, mainly finds and corrects by the user independently, is combined with the common clothes, is easy to clean and replace, has certain judgment and processing capability, can separate the common posture and the abnormal posture, and does not influence the normal action in life.

Description

Human body abnormal posture identification method and correction device based on six-axis sensor
Technical Field
The invention relates to the field of posture recognition and correction, in particular to a method and a device for recognizing and correcting abnormal postures of a human body based on a six-axis sensor.
Background
The existing posture recognition auxiliary correction technology mainly aims at visual recognition auxiliary correction, and visual recognition needs to use a camera and meets certain environmental conditions, so the application condition of the auxiliary correction method utilizing visual recognition is not ideal. Posture correction is a process which needs long-time monitoring and tracking and permeates various actions of life, and the conventional correction scheme commonly used at present has the following problems: 1. the correcting device mainly based on binding constraint restrains the movement of the user when the corrector does other actions, so that the correcting effect is poor and the use experience is poor; 2. the traditional binding, binding and binding correction is mainly made of nylon, sticky hooks and rubber belts, so that the traditional binding, binding and binding correction is difficult to wear and is not easy to clean; 3. the traditional posture correction device is often single in correction purpose and low in practicability. Therefore, there is a need for an abnormal posture recognition method and an auxiliary correction device that are easy to apply.
Disclosure of Invention
The invention provides a human body abnormal posture identification method and a human body abnormal posture identification device based on a six-axis sensor, aiming at solving the technical problems of simply and conveniently identifying abnormal postures and reminding a user of correcting the abnormal postures.
The invention is realized by the following modes:
human abnormal posture orthotic devices based on six sensors, including the undershirt body, the body back is fixed with the sensor, is fixed with main control circuit on the body, and the sensor sets up respectively and corresponds human two scapulae and waist backbone department at the undershirt, is fixed with on the body and reminds the module, main control circuit comprises microprocessor and power module, and microprocessor is connected with sensor and warning module respectively, and power module is connected with microprocessor, sensor and warning module respectively, is provided with external interface on the power module, and the battery passes through external interface and is connected with power module.
Above-mentioned human improper posture orthotic devices based on six sensors, the warning module be vibrating motor, remind the module setting to fix at the human two scapulae department of undershirt correspondence and waist backbone department.
In the device for correcting the abnormal posture of the human body based on the six-axis sensor, the sensors of the vest corresponding to the two scapulae and the lumbar spine of the human body are MPU6050 six-axis sensors.
In the device for correcting the abnormal posture of the human body based on the six-axis sensor, the microprocessor is an STM32 series processor.
Above-mentioned human improper posture orthotic devices based on six sensors, power module's control chip is RT9167 chip.
In the human body abnormal posture correction device based on the six-axis sensor, the main control circuit is fixed at the right side of the waist of the body corresponding to the human body.
The human body abnormal posture correction device based on the six-axis sensor further comprises a wireless communication module, the wireless communication module is installed on the main control circuit and is respectively connected with the microprocessor power module, and the wireless communication module is communicated with the mobile terminal.
Above-mentioned abnormal posture orthotic devices of human body based on six sensors, battery are polymer lithium ion battery, and the battery end interface is the female head of USBType-C, and power module end interface is the public head of USBType-C.
The human body abnormal posture identification method based on the six-axis sensor comprises the following steps:
establishing a spatial rectangular coordinate system by a human body, taking the directions of two shoulder blades as Y axes and prescribing the left shoulder direction as a positive direction, the waist spine direction as a Z axis and prescribing the positive upward direction as a positive direction, the direction perpendicular to the vest body as an X axis and prescribing the human body to be forward as a positive direction, wherein the sensor has a specific bypassing direction and a bypassing angle when the human body acts, and classifying and identifying the human body action by detecting the bypassing direction and the bypassing angle;
the rotation angles of the sensor at the left shoulder around the X axis, the Y axis and the Z axis are respectively alpha1、β1、γ1Represents;
the rotation angles of the sensor at the right shoulder around the X axis, the Y axis and the Z axis are respectively alpha2、β2、γ2Represents;
the rotation angles of the sensor at the spine around the X axis, the Y axis and the Z axis are respectively alpha3、β3、γ3Represents;
the method comprises the following steps: the microprocessor collects the data of each sensor and respectively calculates K1、K2、K3、K4、K5、K6The calculation formula is as follows:
∣∣α1∣-∣α3∣∣＝K1∣∣α2∣-∣α3∣∣＝K2
∣∣β1∣-∣β3∣∣＝K3∣∣β2∣-∣β3∣∣＝K4
∣∣γ1∣-∣γ3∣∣＝K5∣∣γ2∣-∣γ3∣∣＝K6
step two: microprocessor K-solving1、K2、K3、K4、K5、K6Setting the average number of the six groups of data to be less than or equal to a when the human body is in a static normal posture, and setting the average number of the human body in a motion state to be more than or equal to b;
if a<(K1+K2+K3+K4+K5+K6)/6<b, performing the third step;
if (K)1+K2+K3+K4+K5+K6) A is more than or equal to 6, the user is in a static normal posture, no reminding is made, and the step one is returned after t seconds;
if (K)1+K2+K3+K4+K5+K6) B is more than or equal to 6, the user is in a motion state, no reminding is made, and the step one is returned after t seconds;
step three, judging K1、K2Whether the average of (a) is greater than a;
if (K)1+K2) If/2 > a, then proceed to judge K1And K2The magnitude of the difference, wherein k is a set error value;
if the absolute value of K is more than or equal to 01-K2If the | is less than or equal to k, the left shoulder and the right shoulder are not flat, and the microprocessor controls the reminding modules of the left shoulder and the right shoulder to continuously vibrate at the same time;
if K < | K1-K2If the single shoulder is not flat, the microprocessor controls the reminding modules of the left shoulder and the right shoulder to vibrate in a low-frequency staggered manner;
if (K)1+K2) A is more than or equal to 2, then the fourth step is carried out;
step four: judgment of K3、K4Whether the average of (a) is greater than a;
if (K)3+K4) If the/2 is more than a, the spinal curvature is indicated, and the microprocessor controls the three reminding modules to vibrate simultaneously;
if (K)3+K4) A is more than or equal to 2, the fifth step is carried out;
step five: judgment of K5、K6Whether the average of (a) is greater than a;
if (K)5+K6) If/2 > a, then proceed to judge K5And K6The magnitude of the difference, wherein k is a set error value;
if the absolute value of K is more than or equal to 05-K6If the | is less than or equal to k, the left shoulder and the right shoulder are in tandem, and the microprocessor controls the reminding modules of the left shoulder and the right shoulder to vibrate discontinuously at the same time;
if K < | K5-K6If you say a single shoulderThe microprocessor controls the reminding modules of the left shoulder and the right shoulder to vibrate in a high-frequency staggered manner when the shoulders move forwards or backwards;
if (K)5+K6) A is more than or equal to 2, the static posture condition is met, but the normal posture is judged and no prompt is made;
step six: and step two, step three, step four and step five, after judgment is finished, returning to step one at intervals of t seconds, and carrying out detection calculation again.
Compared with the prior art, the invention gets rid of the traditional posture correction method, mainly finds and corrects by the user independently, is combined with the common clothes, is easy to clean and replace, has certain judgment and processing capability, can separate the common posture and the abnormal posture, and does not influence the normal action in life.
Drawings
Figure 1 is a front view of the vest.
Figure 2 is a schematic view of the structure of the sensor mounted on the vest.
Fig. 3 is a schematic view of a human body coordinate system.
Fig. 4 is a flow chart of human body abnormal posture recognition and reminding based on a six-axis sensor.
Fig. 5 is a hardware frame diagram of the human body abnormal posture correction device based on the six-axis sensor.
FIG. 6 is a schematic diagram of a microprocessor circuit of the present invention.
Fig. 7 is a schematic diagram of a sensor circuit of the present invention.
Fig. 8 is a schematic circuit diagram of a power module of the present invention.
Wherein 1 is a body; 2 is a sensor; 3 is a microprocessor; and 4, a reminding module.
Detailed Description
The invention comprises a human body abnormal posture correction device based on a six-axis sensor as shown in attached figures 1-8, which comprises a vest body 1, wherein a sensor 2 is fixed on the back surface of the vest body 1, a main control circuit 3 is fixed on the vest body 1, the sensor 2 is respectively arranged at the two scapulae and the waist spine of the human body corresponding to the vest, a reminding module 4 is fixed on the vest body 1, the main control circuit 3 is composed of a microprocessor and a power module, the microprocessor is respectively connected with the sensor and the reminding module, the power module is respectively connected with the microprocessor, the sensor and the reminding module, an external interface is arranged on the power module, and a battery is connected with the power module through the external interface.
The reminding module 4 is a vibrating motor, and the reminding module 4 is fixedly arranged at two scapulae and a lumbar spine of the vest corresponding to a human body.
The sensors 2 of the vest corresponding to the two scapulae and the lumbar spine of the human body are MPU6050 sensors, and the MPU6050 can accurately track the fast and slow motions. And moreover, the size is small, the impact resistance is realized, and pin interfaces are rich, so that the circuit design is facilitated. The MPU6050 can operate at different voltages. There is also a logic interface VLOGIC supply voltage, which can provide the logic voltage for the I2C output. The MPU6050 can process data using two methods. Firstly, a Kalman dynamic filtering algorithm is used, and the Kalman dynamic filtering algorithm has the advantage that parameters can be adjusted in real time according to actual application and improved. The relatively good method is to combine Kalman filtering and complementary filtering; another is that the attitude angle can be directly output by using an attitude fuser DMP built in the MPU 6050. The circuit diagram of the sensor is shown in fig. 7.
The microprocessor is an STM32 processor, and in the aspect of the microprocessor, as the sensor and the microprocessor are both worn on the body, the volume is used as a main reference condition when the microprocessor is selected, and an STM32 series chip is selected as the microprocessor. The chip is a processor based on ARM-Cortex-M3 architecture and has many embedded system application microprocessors with on-chip resources. STM32F205RG-64P is selected as a main control chip to meet the attitude calculation requirements of a plurality of sensors and circuit design, and the main control chip is provided with 2 paths of CAN2.0B, 4 paths of UARTs, 2 paths of full-duplex I2S, 3 paths of I2C, 3 paths of SPI with the highest 30Mbit, the highest running frequency of 120MHz, 1MBflash memory and 128+4KB SRAM are integrated inside, and off-chip Flash, SRAM, PSRAM, NOR and NAND Flash are supported. The interface has the characteristics of abundant interfaces, high performance, low power consumption, low cost and small volume. The microprocessor circuit diagram is shown in fig. 6.
The control chip of the power supply module is RT9167, the peripheral interface on the circuit chip is connected with a power supply, and the power supply adopts a movable polymer lithium ion battery. The power module is characterized in that a plurality of sensors, a microprocessor and a wireless communication module of the system provide energy to cooperatively work, the stability of a power supply is very important to the stable operation of the whole system, and a small-volume polymer lithium ion battery is selected in consideration of the influence of the volume of the power supply on the mobile wearable device, so that the power module is flexible in shape; the power supply is arranged on the power supply module through an external interface, and the power supply has higher mass-energy ratio (3 times of that of an MH-Ni battery); the voltage is more stable than other power supplies; long service life and less capacity loss; the volume utilization rate is high; since the operating voltage of the STM32F205 is 2V-3.6V, and the operating voltage of mpu6050 is wider, a voltage of 3.3V is used for supplying power for each hardware. The power module main control circuit chip is RT 9167. The power module circuit diagram is shown in fig. 8.
The human body abnormal posture correction device based on the six-axis sensor further comprises a wireless communication module, wherein the wireless communication module is installed on the body and is respectively connected with the power supply module and the microprocessor, and the wireless communication module is communicated with the mobile terminal to complete data statistics and analysis. The wireless module is mainly applied to data transmission and is used for resolving and analyzing the database which uploads the attitude data to the mobile terminal, observing the change condition of the human body attitude and facilitating later adjustment and improvement. The vibration module is mainly applied to reminding of abnormal postures of human bodies, and the microprocessor controls the vibration module to emit corresponding vibration to remind a user of paying attention to the posture state when judging that the human body posture is in the abnormal posture state.
The power supply selects a polymer lithium ion battery, the battery end interface is a USB Type-C female connector, and the power supply module end interface is a USB Type-C male connector. The installation is finished by directly inserting the plug-in connector on the external interface.
Human body abnormal posture recognition and correction method based on six-axis sensor
Establishing a space rectangular coordinate system by a human body, taking the directions of two shoulder blades as Y axes and setting the left shoulder direction as a positive direction, the waist spine direction as a Z axis and setting the positive direction as the positive direction, and the direction vertical to the vest body 1 as an X axis and setting the forward direction as the positive direction; when the human body acts, the upper limb part of the human body has a fixed detour direction and a fixed detour angle, and the human body action is classified and recognized through the characteristic.
According to a plane formed by YZ, whether the left and right shoulders are kept horizontal, namely whether the left and right shoulders are in a normal posture, is mainly detected, and the following four conditions are divided:
the left shoulder and the right shoulder are not flat, the sensors 2 distributed at the two scapulae rotate for a certain angle around respective X-axis, and the sensors 2 at the lumbar spine are unchanged;
secondly, the single shoulder is uneven, one sensor 2 distributed at the two scapulae rotates for a certain angle around the X axis, and the sensor 2 at the lumbar spine is unchanged;
thirdly, the left shoulder and the right shoulder are in tandem, the sensors 2 distributed at the two scapulae rotate for a certain angle around the respective Z axes, and the sensors 2 at the lumbar spine are unchanged;
fourthly, the single shoulder is forward or backward, one sensor 2 distributed at the two scapulae rotates for a certain angle around the Z axis, and the sensor 2 at the lumbar spine is unchanged;
the plane formed according to the XZ is mainly used for monitoring whether the spine keeps a normal posture, namely whether a humpback exists; when a humpback condition occurs, the sensors 2 distributed at the two scapulae rotate for a certain angle around respective Y axes, and the sensors 2 at the lumbar spine do not change obviously;
the angles of the sensor 2 at the left shoulder rotating around the X axis, the Y axis and the Z axis are respectively alpha1、β1、γ1Represents;
the angles of the sensor 2 at the right shoulder rotating around the X axis, the Y axis and the Z axis are respectively alpha2、β2、γ2Represents;
the rotation angles of the sensor 2 at the spine around the X axis, the Y axis and the Z axis are respectively alpha3、β3、γ3Represents;
and the following table was made:
Figure BDA0002623466750000061
the method comprises the following steps: from the above table, the microcontroller 3 calculates K from the table data by the following formula1、K2、K3、K4、K5、K6；
∣∣α1∣-∣α3∣∣＝K1 ∣∣α2∣-∣α3∣∣＝K2
∣∣β1∣-∣β3∣∣＝K3 ∣∣β2∣-∣β3∣∣＝K4
∣∣γ1∣-∣γ3∣∣＝K5 ∣∣γ2∣-∣γ3∣∣＝K6
Wherein K1The absolute value of the difference value between the rotation angle of the left shoulder gyroscope around the X axis and the rotation angle of the gyroscope around the X axis at the spine; k2The absolute value of the difference value between the rotation angle of the right shoulder gyroscope around the X axis and the rotation angle of the gyroscope around the X axis at the spine; k3The absolute value of the difference value between the rotation angle of the left shoulder gyroscope around the Y axis and the rotation angle of the gyroscope around the Y axis at the spine; k4The absolute value of the difference value between the rotation angle of the right shoulder gyroscope around the Y axis and the rotation angle of the gyroscope around the Y axis at the spine; k5The absolute value of the difference value between the rotation angle of the left shoulder gyroscope around the Z axis and the rotation angle of the gyroscope around the Z axis at the spine; k6The absolute value of the difference value between the rotation angle of the right shoulder gyroscope around the Z axis and the rotation angle of the gyroscope around the Z axis at the spine;
step two: ask for K1、K2、K3、K4、K5、K6Setting the average number of the six groups of data to be less than or equal to a when the human body is in a static normal posture, and setting the average number of the human body in a motion state to be more than or equal to b;
if a<(K1+K2+K3+K4+K5+K6)/6<b, performing the third step;
if (K)1+K2+K3+K4+K5+K6) A is more than or equal to 6, the user is in a static normal posture, no reminding is made, and the step one is returned after t seconds;
if (K)1+K2+K3+K4+K5+K6) B is more than or equal to 6, the user is in a motion state, no reminding is made, and the step one is returned after t seconds;
step three: judgment of K1、K2Whether the average of (a) is greater than a;
if (K)1+K2) If/2 > a, then proceed to judge K1And K2The magnitude of the difference, wherein k is a set error value;
if the absolute value of K is more than or equal to 01-K2If the | is less than or equal to k, the left shoulder and the right shoulder are not flat, and the microprocessor (3) controls the reminding modules (4) of the left shoulder and the right shoulder to vibrate continuously at the same time;
if K < | K1-K2If the single shoulder is not flat, the microprocessor (3) controls the reminding modules (4) of the left shoulder and the right shoulder to vibrate in a low-frequency staggered mode;
if (K)1+K2) A is more than or equal to 2, then the fourth step is carried out;
step four: judgment of K3、K4Whether the average of (a) is greater than a;
if (K)3+K4) If the/2 is more than a, the spinal curvature is indicated, and the microprocessor (3) controls the three reminding modules (4) to vibrate simultaneously;
if (K)3+K4) A is more than or equal to 2, the fifth step is carried out;
step five: judgment of K5、K6Whether the average of (a) is greater than a;
if (K)5+K6) If/2 > a, then proceed to judge K5And K6The magnitude of the difference, wherein k is a set error value;
if the absolute value of K is more than or equal to 05-K6If the | is less than or equal to k, the left shoulder and the right shoulder are in tandem, and the microprocessor (3) controls the reminding module (4) of the left shoulder and the right shoulder to vibrate discontinuously at the same time;
if K < | K5-K6I, thenWhen the single shoulder is forward or backward, the microcontroller (3) controls the reminding modules (4) of the left shoulder and the right shoulder to vibrate in a high-frequency staggered mode;
if (K)5+K6) A is more than or equal to 2, the static posture condition is met, but the normal posture is judged, for example, the waist is stretched too late, the shoulders lean backwards and the like, so that no reminding is made;
step six: and step two, step three, step four and step five, after judgment is finished, returning to step one at intervals of t seconds, and detecting again.
When the reminding module 4 works, due to the cyclic scanning mode, data of the sensor 2 collected by the microprocessor are not counted into the detection, so that the reminding module 4 is prevented from influencing posture judgment, and the judgment result is more accurate.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the overall concept of the present invention, and these should also be considered as the protection scope of the present invention.

Claims (9)

1. Human abnormal posture orthotic devices based on six sensors, including undershirt body (1), body (1) back is fixed with sensor (2), its characterized in that: be fixed with master control circuit (3) on body (1), sensor (2) set up respectively and correspond human two scapulae and waist backbone department at the undershirt, are fixed with on body (1) and remind module (4), master control circuit (3) comprise microprocessor and power module, and microprocessor is connected with sensor and warning module respectively, and power module is connected with microprocessor, sensor and warning module respectively, is provided with external interface on the power module, and the battery passes through external interface and is connected with power module.
2. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the reminding module (4) is a vibrating motor, and the reminding module (4) is arranged and fixed at two scapulae and a lumbar spine of the vest corresponding to a human body.
3. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the sensors (2) of the vest corresponding to the two scapulae and the lumbar spine of the human body are MPU6050 six-axis sensors.
4. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the microprocessor is an STM32 family of processors.
5. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the control chip of the power supply module is an RT9167 chip.
6. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the main control circuit (3) is fixed at the right side of the waist of the body (1) corresponding to the human body.
7. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the mobile terminal is characterized by further comprising a wireless communication module, the wireless communication module is installed on the main control circuit and is respectively connected with the microprocessor power module, and the wireless communication module is communicated with the mobile terminal.
8. The device for correcting an abnormal posture of a human body based on a six-axis sensor according to claim 1, wherein: the battery is polymer lithium ion battery, and the battery end interface is USB Type-C female head, and power module end interface is the public head of USB Type-C.
9. A method for recognizing abnormal human body posture, comprising the six-axis sensor-based human body posture recognition method according to any one of claims 1 to 8: establishing a spatial rectangular coordinate system by a human body, taking the directions of two shoulder blades as Y axes and prescribing the left shoulder direction as the positive direction, the waist spine direction as Z axis and prescribing the positive upward direction as the positive direction, the direction vertical to the vest body (1) as X axis and prescribing the human body to be positive forward, when the human body acts, the sensor (2) has a specific detour direction and a detour angle, and classifying and identifying the human body action by detecting the detour direction and the detour angle;
the rotation angles of the sensor (2) at the left shoulder around the X axis, the Y axis and the Z axis are respectively alpha1、β1、γ1Represents;
the rotation angles of the sensor (2) at the right shoulder around the X axis, the Y axis and the Z axis are respectively alpha2、β2、γ2Represents;
the rotation angles of the sensor (2) at the spine around the X axis, the Y axis and the Z axis are respectively alpha3、β3、γ3Represents;
the method comprises the following steps: the microprocessor collects the data of each sensor and respectively calculates K1、K2、K3、K4、K5、K6The calculation formula is as follows:
∣∣α1∣-∣α3∣∣＝K1 ∣∣α2∣-∣α3∣∣＝K2
∣∣β1∣-∣β3∣∣＝K3 ∣∣β2∣-∣β3∣∣＝K4
∣∣γ1∣-∣γ3∣∣＝K5 ∣∣γ2∣-∣γ3∣∣＝K6
step two: microprocessor K-solving1、K2、K3、K4、K5、K6Setting the average number of the six groups of data to be less than or equal to a when the human body is in a static normal posture, and setting the average number of the human body in a motion state to be more than or equal to b;
if a < (K1+ K2+ K3+ K4+ K5+ K6)/6< b, performing a third step;
if the (K1+ K2+ K3+ K4+ K5+ K6)/6 is not more than a, the user is in a static normal posture, no reminding is made, and the step one is returned after t seconds;
if (K1+ K2+ K3+ K4+ K5+ K6)/6 is not less than b, the user is in a motion state, no reminding is given, and the step one is returned after t seconds;
step three, judging K1、K2Whether the average of (a) is greater than a;
if (K)1+K2) If/2 > a, then proceed to judge K1And K2The magnitude of the difference, wherein k is a set error value;
if the absolute value of K is more than or equal to 01-K2If the | is less than or equal to k, the left shoulder and the right shoulder are not flat, and the microprocessor (3) controls the reminding modules (4) of the left shoulder and the right shoulder to vibrate continuously at the same time;
if K < | K1-K2If the single shoulder is not flat, the microprocessor (3) controls the reminding modules (4) of the left shoulder and the right shoulder to vibrate in a low-frequency staggered mode;
if (K)1+K2) A is more than or equal to 2, then the fourth step is carried out;
step four: judgment of K3、K4Whether the average of (a) is greater than a;
if (K)3+K4) If the/2 is more than a, the spinal curvature is indicated, and the microprocessor controls the three reminding modules to vibrate simultaneously;
if (K)3+K4) A is more than or equal to 2, the fifth step is carried out;
step five: judgment of K5、K6Whether the average of (a) is greater than a;
if (K)5+K6) If/2 > a, then proceed to judge K5And K6The magnitude of the difference, wherein k is a set error value;
if the absolute value of K is more than or equal to 05-K6If the | is less than or equal to k, the left shoulder and the right shoulder are in tandem, and the microprocessor (3) controls the reminding module (4) of the left shoulder and the right shoulder to vibrate discontinuously at the same time;
if K < | K5-K6If the single shoulder is forward or backward, the microprocessor (3) controls the reminding modules (4) of the left shoulder and the right shoulder to vibrate in a high-frequency staggered manner;
if (K)5+K6) A is more than or equal to 2, the static posture condition is met, but the normal posture is judged and no prompt is made;
step six: and step two, step three, step four and step five, after judgment is finished, returning to step one at intervals of t seconds, and carrying out detection calculation again.
CN202010793000.7A 2020-07-02 2020-08-07 Human body abnormal posture identification method and correction device based on six-axis sensor Pending CN111968349A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113288122A (en) * 2021-05-21 2021-08-24 河南理工大学 Wearable sitting posture monitoring device and sitting posture monitoring method
CN113598756A (en) * 2021-07-27 2021-11-05 中科全联科技(北京)有限公司 Spine health condition monitoring method
CN114234963A (en) * 2021-12-20 2022-03-25 北京华如科技股份有限公司 Device and method for recognizing individual posture in individual training confrontation device

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113288122A (en) * 2021-05-21 2021-08-24 河南理工大学 Wearable sitting posture monitoring device and sitting posture monitoring method
CN113288122B (en) * 2021-05-21 2023-12-19 河南理工大学 Wearable sitting posture monitoring device and sitting posture monitoring method
CN113598756A (en) * 2021-07-27 2021-11-05 中科全联科技(北京)有限公司 Spine health condition monitoring method
CN113598756B (en) * 2021-07-27 2024-04-02 中科全联科技(北京)有限公司 Spinal health condition monitoring method
CN114234963A (en) * 2021-12-20 2022-03-25 北京华如科技股份有限公司 Device and method for recognizing individual posture in individual training confrontation device

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