TWM524175U - A determination system of cervical strain - Google Patents

Abstract

A determination system of cervicalstrain comprises a cervical monitoring device which can be worn like a necklace. The cervical monitoring device can detect a neck's rotation and bending then outputs a record of the rotation and bending to a cloud database and a receiving device. Furthermore, a magnetical connecting part can make user wearing the cervical monitoring device easily. This invention solves the drawbacks of prior art which needs to estimate the cervical bending by skiagraph. Besides that, this invention also performs a revising method which can detect an exercise statement of the cervical to get a precaution.

Description

Human cervical spine strain determination system

The present invention relates to a cervical vertebra strain judgment system, and in particular to a cervical vertebra strain judgment system that can be worn with the body.

With the advancement of technology, notebook computers, tablet computers, and smart phones have changed our lives, but the accompanying cervical diseases have affected daily life. Modern people work hard, do not hesitate to fight for long-term performance, maintain the same sitting position for several hours to use the computer, and the head is not getting better before the head; after busy, they will find that the neck is not active and maintained for a long time. Neck pain caused by the same posture. These pains may be caused by cervical dislocations. Long-term bad postures and the use of computers for the head are the main causes of cervical dislocations caused by urban people. The cervical vertebra is composed of 7 vertebrae. The upper part of the cervical vertebra is composed of the first and second sections. It is responsible for the left and right rotation of the head, while the lower part of the cervical vertebra is composed of the third to seventh sections. The cervical vertebra supports a head that weighs about 12 pounds. If the head is tilted forward, the weight of the cervical vertebra will increase, which can be as high as 30 to 40 pounds. This weight can easily lead to the first and second sections of the cervical spine. Cervical dislocation not only neck pain, headache, but also cause dizziness, tinnitus, insomnia and mental discomfort. If the dislocation of the spine is pressed against the nerve line, there will be shoulder pain, arm muscle pain, finger paralysis, especially the tail. Means, Paralysis feels particularly strong.

At present, most of the methods used to determine cervical strain are to determine whether the cervical vertebrae are deformed by X-ray photographs. This method not only produces errors, because the effect of different doctors or photos and the angle of shooting of the photos will produce unnecessary detection errors, and the most important method is that the detection method cannot provide judgment at any time, which is difficult to achieve. The effect of prevention.

In order to solve the error problem of the existing cervical vertebra strain judgment method and the technical problem that the preventive effect can not be provided by the instant detection, the present invention provides a cervical vertebra strain judgment system, which comprises a cervical vertebra monitoring device and can be connected with the cervical vertebra monitoring device 10 A cloud database and a receiving device, wherein the cervical vertebra monitoring device comprises a collar and a monitoring body and a joint member respectively fixed on the surface of the collar, the monitoring body can monitor a user's neck rotation and bending The state is recorded and outputted to the cloud database and the receiving device, and the coupling member is coupled between the collars.

Wherein, the collar is a soft flexible bend body.

Wherein, the coupling member is disposed on the collar, and comprises two pairs of coupled connectors, two of the connectors having a cylindrical shape with an L-shaped cut surface, and the L-shaped cut surfaces of the two connectors are respectively provided with a terminal And a socket, the L-shaped cut surfaces of the two connectors are electrically connected when correspondingly combined.

Wherein, the surface of the L-shaped section may be magnetic.

Wherein, the monitoring body comprises a casing, a microprocessor, and the micro a memory connected to the processor, a vibration motor module, a gyro sensor module, a three-axis acceleration sensor module, a wireless transmitter module, and a battery, wherein: the storage device is configured to store data for the a memory device for computing or accessing data; the vibration motor module is controlled by the microprocessor to generate vibration; the gyro sensor module is controlled by the microprocessor to measure a geographic location and azimuth angle information and Outputting the sensing result to the microprocessor; the three-axis acceleration sensor module senses a moving speed, an acceleration information, and outputs the data to the microprocessor; the wireless transmitter module is controlled by the microprocessor or Sending a wireless signal; the battery provides power required by each component of the embodiment; and the microprocessor calculates the amount of work and vibration of the neck joint of the user according to the moving speed, acceleration, and azimuth angle information, thereby defining the neck Joint strain.

Thereby, the present invention has the following advantages:

1. Through the wearable device, the user's neck movement condition can be monitored in real time, and the existing technical limitation problem that the cervical vertebra must be deformed through the X-ray photograph can be solved.

2. Provide a calibration method to measure the condition of the neck relatively accurately.

3. Provide statistical and warning output, so that users can control the movement of the cervical spine at any time, thereby achieving preventive effects.

10‧‧‧ cervical vertebra monitoring device

11‧‧‧ collar

13‧‧‧Monitor ontologies

131‧‧‧Microprocessor

133‧‧‧Storage

134‧‧‧Vibration motor module

135‧‧‧Gyro sensor module

136‧‧‧Three-axis acceleration sensor module

137‧‧‧Wireless transmitter module

138‧‧‧Battery

15‧‧‧Connected parts

151‧‧‧Connector

1511‧‧‧L-shaped cut surface

1512‧‧‧ Terminal

1513‧‧‧ socket

20‧‧‧Cloud database

30a, 30b‧‧‧ receiving devices

51‧‧‧Monitoring points

52‧‧‧Photographing device

60‧‧‧Users

1 is a perspective view and a partial enlarged view of a preferred embodiment of the present invention.

2 is a view showing a hardware structure of a preferred embodiment of the present invention.

Figure 3 is a schematic view of the manner of use of the preferred embodiment of the present invention.

4 is a schematic view of a cervical vertebra motion photography according to a preferred embodiment of the present invention.

FIG. 5 is a schematic diagram of a right angle coordinate system of a cervical vertebra motion according to a preferred embodiment of the present invention.

FIG. 6 is a flow chart of the operation of the cervical vertebra strain information according to the preferred embodiment of the present invention.

Figure 7 is a flow chart of the triaxial angle correction of the preferred embodiment of the present invention.

FIG. 8 is a flow chart of reading and storing a cloud database according to a preferred embodiment of the present invention.

FIG. 9 is a schematic diagram showing the calculation result of the strain loss index according to the preferred embodiment of the present invention.

FIG. 10 is a flow chart of the operation of the strain loss index according to the preferred embodiment of the present invention. FIG. 11 is a flow chart of the message feedback signal processing according to the preferred embodiment of the present invention.

Figure 12 is a flow chart for determining the amount of strain loss in accordance with a preferred embodiment of the present invention.

FIG. 13 is a schematic diagram showing the display of a day and a week strain loss report according to a preferred embodiment of the present invention.

FIG. 14 is a schematic view showing the three-axis vibration angle curves of the neck joints roll, pitch and yaw according to the preferred embodiment of the present invention.

Figure 15 is a schematic view showing the vibration analysis of the angle curve of the preferred embodiment of the present invention.

16 is a flow chart of cervical vertebra vibration according to a preferred embodiment of the present invention. FIG. 17 is a flow chart for determining the vibration amount of a neck joint according to a preferred embodiment of the present invention.

Figure 18 is a schematic view showing the display of a day and week vibration report according to a preferred embodiment of the present invention.

Figure 19 is a schematic view of a three-axis orthogonal coordinate system of the head of the preferred embodiment of the present invention.

Please refer to FIG. 1 to FIG. 3 , which are a preferred embodiment of a human cervical spine strain determination system, which includes a cervical vertebra monitoring device 10 and a cloud data base 20 and a receiving device that can be connected to the cervical vertebra monitoring device 10 . 30a, 30b. The cervical vertebra monitoring device 10 includes a collar 11 and a monitoring body 13 and a coupling member 15 respectively fixed to the surface of the collar 11. The collar 11 is annular and can be sleeved at a neck position of the human body. The monitoring body 13 includes a housing having waterproof performance, a microprocessor 131, and a reservoir 133 and a vibration respectively connected to the microprocessor. The motor module 134, a gyro sensor module 135, a three-axis acceleration sensor module 136, a wireless transmitter module 137, and a battery 138. The memory 133 is configured to store data for the microprocessor 131 to operate or access the data storage device; the vibration motor module 134 receives the control of the microprocessor 131 to generate vibration; the gyro sensor module 135 is subjected to the The control of the microprocessor 131 measures a geographic location and azimuth angle information and outputs the sensing result to the microprocessor 131. The triaxial acceleration sensor module 136 senses the moving speed and acceleration sensed by the cervical vertebra monitoring device 10. Information is output to the microprocessor 131. The wireless transmitter module 137 receives or transmits wireless signals under the control of the microprocessor 131. The battery 138 provides the power required by the various components of the embodiment. The collar 11 is a soft flexible bend body.

The coupling member 15 is disposed on the collar, and comprises two pairs of connectors 151. The two connectors 151 of the embodiment have a cylindrical shape with an L-shaped section 1511, and two of the connectors 151 The L-shaped cut surface 1511 is respectively provided with a terminal 1512 and a socket 1513. When the two L-shaped cut surfaces 1511 of the connector 151 are combined, the terminal is connected. The electrical connection is made after the 1512 is inserted into the socket 1513, so that the cervical vertebra monitoring device 10 of the embodiment can achieve a conduction effect, and normal operation can be started. Further, the surface of the L-shaped cut surface 1511 may be magnetic, so that the connector 151 can be quickly joined to form a conductive path, reducing the time required for alignment or connection. In use, the cervical vertebra monitoring device 10 is sleeved on the neck of a user 60 to sense the movement of the neck of the user 60.

Referring to Figures 3 to 5, the relationship between the head and cervical vertebra motion of the user 60 can be defined as shown in Figs. The head of the user 60 is represented by a right angle coordinate system. The user's 60 head and neck can produce a roll for the x-axis, a forward or backward pitch to the z-axis, and a turn for the y-axis. The yaw is divided as shown in Figures 5(a) to (c). In order to further accurately monitor the precise angles of the various head and neck movements described above, a plurality of monitoring points 51 may be disposed on the surface of the head of the user 60, and various angular movements may be performed on the user by the plurality of imaging devices 52. At the time, the image motion, displacement and angle of each monitoring point 51 are analyzed.

The cervical vertebra monitoring device 10 provided in this embodiment directly measures the neck and head movements of the user 60, thereby determining the neck strain of the user 60. However, in the measurement method, the cervical vertebra monitoring device 10 can only indirectly obtain the movement state of the cervical vertebrae and the spine of the user 60, and thus the judgment and the calculation result may be generated. Therefore, the photographing device 52 is used in synchronization with the photographing device. When the movement angle of the head of the person 60 is changed, and the data measured by the cervical vertebra monitoring device 10 is simultaneously matched, the difference between the cervical vertebra monitoring device 10 of the embodiment and the actual shooting angle can be known; It can be greatly improved by correction. The correction formula can be as shown in Table 1 below, where α _i , β _i , γ _i represent the angle value (angular position) measured by photography. , , On behalf of the results measured by the cervical vertebra monitoring device 10, the parameters k ₁ , k ₂ , k ₃ , C ₁ , C ₂ , C ₃ represent the correction parameters between the measurement results of the cervical vertebra monitoring device 10 and the actual photographic results.

Please refer to FIG. 6. In use, the cervical vertebra monitoring device 10 can obtain information about cervical strain according to the following steps:

(1) Link controller call and response: The microprocessor 131 calls each connected connected component and obtains a response to determine that the connection state is correct.

(2) Verify the pairing success and the completion of the link confirmation: the microprocessor 131 controls the phase Each of the connected electronic components independently detects its functional correctness, and drives the externally connected wireless transmitter module 137 to be paired with the external cloud database 20 and the receiving devices 30a, 30b, and confirms the successful connection. .

(3) Setting the data sampling frequency: setting the signal and data sampling frequency of the microprocessor 131 and the connected electronic components.

(4) Reading the gyro sensor module 135 and the three-axis acceleration sensor module 136 according to the timing ti (i=0, 1, 2, 3, . . . , n) to represent the roll, pitch, and yaw motions. Triaxial angular position, angular velocity, angular acceleration, and position, velocity, and acceleration data for the X, Y, and Z axes.

(5) Perform the read roll, pitch, yaw triaxial angular position, angular velocity, and angular acceleration correction conversion.

(6) Setting analysis selection: The microprocessor 131 accepts external input control and accepts data to be analyzed, for example, according to roll, pitch, yaw motion, triaxial angular position, angular velocity, angular acceleration, and X, Y, Z. The data of the position, velocity and acceleration of the three axes is analyzed by the following analysis.

(7) Three-axis power calculation of the neck joint (strain analysis): The microprocessor 131 is based on the measured three-axis angular position of the roll, pitch, and yaw motion, angular velocity, angular acceleration, and X, Y, and Z axes. The data of position, velocity and acceleration data is estimated to calculate the amount of work of one of the neck joints of the user 60, and can also be converted into fatigue of the neck joint (muscle fatigue); wherein, this step calculates the calculation of the neck joint strain required to participate in the calculation. The input parameters or the information to be stored can be accessed by a cloud database or a database connection.

(8) Calculation of the vibration of the neck joint: the microprocessor 131 is based on the measured three-axis angular position of the roll, pitch, and yaw motion, the angular velocity, the angular acceleration, and the position, velocity, and acceleration data of the X, Y, and Z axes. The data is estimated to estimate the amount of vibration of the neck joint of the user 60, and the damage to the neck joint (joint loss) can be estimated by performing the exercises.

(9) Data processing: The microprocessor 131 drives the storage unit 133 to calculate the required data from the cloud data inventory or store the calculation result. Communication with the database and the cloud database can be accomplished through the wireless transmitter module 137.

(10) Outgoing feedback control command and classification data: The microprocessor 131 outputs a corresponding feedback control command according to the calculation result and classifies the result.

(11) driving feedback message: the microprocessor 131 generates a feedback signal to the user 60 according to the calculation result, thereby reminding the use state of the neck joint, wherein the feedback signal includes: 1. vibration feedback 2. voice feedback 3. display Analyze information. The vibration feedback can be completed by the microprocessor 131 driving the vibration motor module 134 to generate vibration, and the voice and display can be completed by a user human interface (such as a display, a speaker, etc.) connected to the microprocessor 131.

The foregoing three-axis calibration program calculation process (using the aid of image measurement to assist the embodiment to more accurately obtain the neck motion condition of the user) may include:

(1) input correction coefficients k ₁ , k ₂ , k ₃ and C ₁ , C ₂ , C ₃ to the database;

(2) Read the roll, pitch, and yaw triaxial angular position parameters in time series, angular positions α _i , β _i , γ _i and their corresponding angular velocities, angular accelerations, and the like.

(3) Three-axis angular position correction conversion calculation: according to the correction coefficient, the angle position is converted as shown in Table 1; (4) Three-axis angular velocity correction conversion calculation: according to the correction coefficient, the angular velocity is converted as shown in Table 1; (5) Three-axis angle Acceleration conversion calculation: according to the correction coefficient, the angular acceleration is converted as shown in Table 1; (6) The following parameters are output: the corrected angular position α _i , β _i , γ _{i ,} and angular velocity , , And angular acceleration , , .

The aforementioned access to the cloud database can be accomplished according to the following steps:

(1) Cloud identity verification: According to the personal information or authentication information of the microprocessor 131, the cloud database verification is correct.

(2) According to the timing t _i (i = 0, 1, ..., n), t _i , α _i , β _i , γ _i , , , , , , Write the database, as shown in Table 2 below.

Referring to FIG. 9, 10 and FIG. 19, in the calculation of the strain loss, the microprocessor 131 can be completed according to the strain index calculation program, and the steps include:

(1) Read t _i according to time series (i=2, 1, ..., n), , , parameter

(2) Input I _x , I _y , I _z parameters

(3) Calculate the roll axis kinetic energy △ W _{x (i)}

(4) Calculate the pitch axis kinetic energy △W _y(i)

(5) Calculate the yaw axis kinetic energy ΔW _z(i)

(6) Output: ΔW _x(i) , △W _y(i) , △W _z(i) , △W _i

among them,

W _x , W _y , W _z : total axis kinetic energy of the head roll, pitch, and yaw

I _x , I _y , I _z : the moment of inertia of the head to the center of gravity;

W:

△W _i : rotation energy per unit time (i=0,1,...,n)

△W _x(i) , △W _y(i) , △W _z(i) : three-axis momentum per unit time roll, pitch, and yaw

△t: unit time

among them,

Referring to FIG. 11, the foregoing step of driving feedback message, the microprocessor 131 can be completed in the following steps:

(1) Read operation result and feedback control instruction

(2) The algorithm is transmitted to the control interface according to the control command.

(3) Drive the vibration motor module to generate vibration.

(4) Driving the voice feedback control module to generate a sound output.

(5) Driving the screen display module to generate display effects such as data, charts, and animations.

Please refer to Figures 12~15. The calculation of strain and the steps to produce the analysis results can include the following:

(1) Log in to the cloud database, complete verification and read the cloud data;

(2) Entering the strain parameter value to the database includes: M ₁ , M ₂ , N ₁ , N ₂ , D ₁ , D ₂ , D ₃ , D ₄ , E ₁ , E ₂ , E ₃ , E ₄

(3) Perform weekly damage calculation (from the database): When WR>N ₂ , feedback signal is generated; when WP>N ₂ , feedback signal is generated; when WY>N ₂ , feedback signal is generated; WW> At N ₂ , a feedback signal is generated; an analysis weekly report ( FIG. 13 ) is displayed, which can be displayed on the mobile device 30b.

(4) Perform the daily strain loss calculation, including: when DR>M ₂ , when driving the voice or vibration feedback message DP>M ₂ , drive the voice or vibration feedback message DW when driving the voice or vibration feedback message DY>M ₂ > Drive voice or vibration feedback messages when M ₂

The analysis analysis day report (as shown in FIG. 14(b)) can be displayed on the mobile device 30b.

Among them, the above parameters represent the following meanings:

Referring to FIGS. 14-16, the microprocessor 131 can perform the counting of the number of neck joint vibrations according to the following steps: (1) reading the roll, pitch, according to the timing t _i (i=0, 1, . . . , n) Yaw triaxial angle α _i , β _i , γ _i ... data; (2) find the peak value of each of the three axes, the trough value and the corresponding time t _i according to the time series search calculus; (3) output Roll, pitch The peak of each wave of the yaw triaxial, the trough value and the corresponding time t _i ; the calculation result can be as shown in Figs.

Please refer to FIG. 15 to calculate the numerical value of the parameter such as the wave front and the valley position calculated by the angular position in a specific interval, which is defined as a wave peak, and vice versa. Valley, automatically calculates the vibration maximum and minimum search by program calculus conditions, as shown in Table 4 below.

When the peaks and troughs are found, the corresponding time between the peak and the trough is recorded.

Referring to FIG. 17, the microprocessor 131 can perform a neck joint vibration determination procedure according to the following steps:

(1) Log in to the cloud database, complete verification and read cloud data;

(2) Transmission vibration parameter values include O ₁ , O ₂ , Q ₁ , Q ₂ , F ₁ , F ₂ , F ₃ , F ₄ , G ₁ , G ₂ , G ₃ , G ₄

(3) Execute the weekly vibration amount calculation, the following judgment procedure is executed: when WFR>Q ₂ , the voice or vibration feedback message is driven; when WFP>Q ₂ , the voice or vibration feedback message is driven; when WFY>Q ₂ Drive the voice or vibration feedback message; when WFT>Q ₂ , drive the voice or vibration feedback message; and display the analysis week report, after completing the judgment, display the result on the mobile device, as shown in Figure 18.

(4) Execute the daily vibration amount calculation, the following judgment procedure is executed: when DFR>O ₂ , the voice or vibration feedback message is driven; when DFP>O ₂ , the voice or vibration feedback message is driven; when DFY>O ₂ Drive the voice or vibration feedback message; when DFF>O ₂ , drive the voice or vibration feedback message; and display the analysis date report, after the judgment is completed, the result is displayed on the mobile device, as shown in Figure 18.

The aforementioned joint vibration is once defined as a round trip between the peak and the peak.

among them,

F _R = cumulative number of vibrations of the neck joint roll axis

F _P = cumulative number of vibrations of the neck joint pitch axis

F _y = cumulative number of vibrations of the neck joint yaw axis

F=the total number of vibrations accumulated by the three axes of the neck joint

As can be seen from the foregoing description, the present invention has the following advantages:

1. Through the wearable device, the user's neck movement can be monitored in real time, and the existing technical limitations that must be determined by X-ray photos to determine whether the cervical vertebrae are deformed can be solved.

2. Provide a calibration method to measure the condition of the neck with relative accuracy.

3. Provide statistical and warning output, so that users can control the movement of the cervical spine at any time, so as to achieve preventive effects.

10‧‧‧ cervical vertebra monitoring device

11‧‧‧ collar

13‧‧‧Monitor ontologies

15‧‧‧Connected parts

15‧‧‧Connected parts

151‧‧‧Connector

1511‧‧‧L-shaped cut surface

1512‧‧‧ Terminal

1513‧‧‧ socket

Claims (10)

A human cervical spine strain determination system comprises a cervical vertebra monitoring device and a cloud data base and a receiving device connectable to the cervical vertebra monitoring device, wherein the cervical vertebra monitoring device comprises a collar and is respectively fixed on the collar surface One of the monitoring body and a joint member, the monitoring body can monitor a user's neck rotation and bending state, and record the bending and rotational motion state and output to the cloud database and the receiving device, the binding member is coupled to Between the collars. The human cervical spine strain determination system according to claim 1, wherein the collar is a flexible flexible bend body. The human cervical spine strain determination system according to claim 1 or 2, wherein the coupling member is disposed on the collar, and comprises two pairs of coupled connectors, and the two connectors have an L-shaped cut surface cylindrical body. And the L-shaped cut surfaces of the two connectors are respectively provided with a terminal and a socket, and the L-shaped cut surfaces of the two connectors are electrically connected when correspondingly combined. The human cervical spine strain determination system according to claim 3, wherein the L-shaped cut surface may be magnetic. The human body cervical strain determination system according to claim 4, wherein the monitoring body comprises a casing, a microprocessor, and a storage device, a vibration motor module and a gyroscope sensor respectively connected to the microprocessor. a module, a three-axis acceleration sensor module, a wireless transmitter module, a battery, wherein: the memory is used for storing data for the microprocessor to calculate or access data storage device; The vibration motor module is controlled by the microprocessor to generate vibration; the gyro sensor module is controlled by the microprocessor to measure a geographic location and azimuth angle information and output the sensing result to the microprocessor; The three-axis acceleration sensor module senses a moving speed and an acceleration information, and outputs the information to the microprocessor; the wireless transmitter module receives or transmits a wireless signal under the control of the microprocessor; the battery provides the components of the embodiment The required power; and the microprocessor calculates the amount of work and vibration of the neck joint of the user according to the movement speed, acceleration and azimuth angle information, thereby defining the neck joint strain. The human cervical spine strain determination system according to claim 5, comprising a method for obtaining cervical cervical strain information, wherein: the microprocessor calls the connected connected components, and obtains a response to determine that the connection state is correct; The microprocessor controls the corresponding connected electronic components to self-detect the correctness of the functions, and drives the externally connected wireless transmitter module to be paired with the external cloud database and the receiving device; setting the microprocessor The signal and data sampling frequency of each connected electronic component; reading the gyro sensor module and the three-axis acceleration sensor module according to timing ti (i=0, 1, 2, 3, ..., n) The position, speed and acceleration of the three axes of the roll, pitch, and yaw movements, angular velocity, angular acceleration, and X, Y, and Z axes. Performing the read roll, pitch, yaw triaxial angular position, angular velocity, and angular acceleration correction conversion; the microprocessor accepts external input control and accepts data to be analyzed; the microprocessor is based on The measured roll, pitch, yaw motion triaxial angular position, angular velocity, angular acceleration and X, Y, Z three-axis position, velocity and acceleration data are estimated to calculate one of the user's neck joints; The microprocessor estimates the user's neck joint based on the measured roll, pitch, yaw motion triaxial angular position, angular velocity, angular acceleration, and the position, velocity, and acceleration data of the X, Y, and Z axes. a vibration amount; the microprocessor drives the storage to calculate the required data from the cloud data inventory or store the calculation result; the microprocessor outputs a corresponding feedback control instruction according to the calculation result and classifies the result; and the microprocessor According to the calculation result, a feedback signal is generated to the user to remind the use state of the neck joint. The human cervical spine strain determination system according to claim 6, comprising a three-axis calibration program calculation process, wherein: inputting correction coefficients k ₁ , k ₂ , k ₃ and C ₁ , C ₂ , C ₃ to data Library; read the roll, pitch, yaw triaxial angular position parameters, angular positions α _i , β _i , γ _i and their corresponding angular velocities, angular accelerations, etc. according to time series; according to the correction coefficient, the angular position is converted; according to the correction coefficient, Convert angular velocity; convert angular acceleration according to correction coefficient; and output corrected angular position α _i , β _i , γ _i , angular velocity , , And angular acceleration , , . The human cervical spine strain determination system according to claim 7, comprising a step of driving a feedback message, wherein the microprocessor reads the operation result and the feedback control command; the microprocessor drives the vibration motor module to generate vibration The microprocessor drives the voice feedback control module to generate a sound output; the microprocessor drives the screen display module to generate display effects such as data, graphics, and animation. The human cervical spine strain determination system according to claim 8 includes the steps of calculating a strain loss and generating an analysis result, wherein: the microprocessor logs into the cloud database, completes verification, and reads the cloud data; The processor inputs the strain parameter value to the database; the microprocessor performs a weekly strain amount calculation, wherein: WR>N ₂ generates a feedback signal; when WP>N ₂ , a feedback signal is generated; when WY>N ₂ , a generated Feedback signal; when WW>N ₂ , a feedback signal is generated; the microprocessor displays an analysis weekly report; the microprocessor performs a daily strain amount calculation, wherein: DR>M ₂ , driving a voice or vibration feedback message; DP> When M ₂ , the voice or vibration feedback message is driven; when DY>M ₂ , the voice or vibration feedback message is driven; and when DW>M ₂ , the voice or vibration feedback message is driven. The human cervical spine strain determination system according to claim 9, comprising the step of counting the number of neck joint vibrations, wherein: the microprocessor reads according to the time sequence t _i (i=0, 1, ..., n) Taking the roll, pitch, and yaw triaxial angles α _i , β _i , γ _i ... data; the microprocessor searches for the peak value, the trough value, and the corresponding time t _{i of} each of the three axes according to the time series search calculus; The microprocessor outputs each peak of each of the three axes of Roll, pitch, and yaw, a valley value, and a corresponding time t _i .