Mastication monitoring system for providing excessive masticatory force notification through masticatory force measurement and signal correction, and method therefor

Abstract

A mastication monitoring system for providing an excessive masticatory force notification through masticatory force measurement and signal correction, and a method therefor are disclosed. The mastication monitoring system for providing an excessive masticatory force notification through masticatory force measurement and signal correction, according to one embodiment of the present invention, comprises: at least one wearable device attached to one side of the face of a user; a data processing module which collects and analyzes temporal electromyography data collected from the wearable device so as to generate user eating habit data, and which transmits the user eating habit data to a pre-designated user terminal; and a data training module for transmitting the user eating habit data generated by the data processing module to a pre-designated learning DB.

Description

A chewing monitoring system and method thereof that provides excessive chewing force notification through chewing force measurement and signal correction

[0001] The present invention relates to a chewing monitoring system and method thereof, and more particularly, to a chewing monitoring system and method thereof that collects a chewing muscle electromyography signal of a user while eating through a wearable device attached to the user's chewing muscle area, counts the number of times the user chews, analyzes the chewing force, and provides an excessive chewing force notification through chewing force measurement and signal correction.

[0002] In relation to health, which is one of the main concerns of modern society, the habit of masticating food is closely related to not only dental health but also digestive function.

[0003] Finely chewing food is crucial for proper gastric function. Furthermore, alpha-amylase (α-amylase) is not secreted without chewing, so proper chewing is crucial. Furthermore, parotin, an anti-aging hormone secreted by saliva, strengthens bone and teeth. The more you chew, the more your upper and lower teeth rub against each other, increasing the amount secreted.

[0004] In this regard, Korean Patent Publication No. 10-1951541, a prior art, discloses a chewing detection system and a providing method, but has the problem that it is difficult to provide optimized chewing habit feedback to the user by considering problems such as wear of the user's teeth, facial asymmetry, and temporomandibular joint disorder based on the user's chewing force.

[0005] In addition, Korean Patent Publication No. 10-1198598, which is a prior art, discloses an in-ear type chewing count detection device and a food chewing habit correction system, but there is a problem in that it detects vibrations generated by the user's chewing and extracts the characteristics to measure the number of chewing counts, but it is difficult to measure the chewing force, which means the intensity of chewing, and Korean Patent Publication No. 10-1791275 discloses a method of measuring the chewing force by obtaining the difference in color of the gum after chewing using a color-changing chewing gum in a color scale for judging the chewing force, but there are limitations in that it cannot be used during normal meals and it is difficult to display a notification about excessive chewing force on a user terminal, etc.

[0006] Therefore, in order to solve the above-mentioned problems, there is a need for research on a chewing monitoring system that monitors the user's usual chewing habits to measure the chewing force of each user and monitors the number of chewings to encourage the user to form healthy eating habits by reaching the target number of chewings set by the user, and a method for the system that searches for a chewing force suitable for the user through a measurement protocol and correction process to supplement the differences in individual signals, and provides a notification function to the user to prevent problems such as tooth wear, tooth fracture, facial asymmetry, square jaw, and temporomandibular joint damage that may be caused by abnormal chewing habits (such as excessive chewing force) through chewing force measurement and signal correction.

[0007] The purpose of the present invention is to provide a chewing monitoring system and method that provides an excessive chewing force notification through chewing force measurement and signal correction, which collects electromyography data of a user while eating using a wearable device, analyzes the data to calculate the number of chewings and chewing force of the user, and analyzes the user's standard chewing force, maximum chewing force, etc., thereby guiding the user to eat with a chewing force suitable for the user.

[0008] In addition, considering the differences in individual electromyography signals, a user wearing a wearable device performs individual masticatory force measurement according to a masticatory force measurement protocol, calculates a signal-to-noise ratio (SNR) between the collected electromyography data and noise, and sets individual standard masticatory force, maximum masticatory force, and excessive masticatory force, thereby providing an optimized excessive masticatory force notification function for the user, thereby preventing temporomandibular joint disorder and tooth wear in advance, and providing a masticatory force monitoring system and method for providing an excessive masticatory force notification through masticatory force measurement and signal correction to encourage healthy eating habits.

[0009] The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems to be solved by the present invention that are not mentioned herein will be clearly understood by a person having ordinary skill in the technical field to which the present invention pertains from the description below.

[0010] A chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention includes at least one wearable device attached to one side of a user's face, a data processing module that collects and analyzes masticatory muscle electromyography data collected from the wearable device to generate user eating habit data and transmits the user eating habit data to a pre-designated user terminal, and a data learning module that transmits the user eating habit data generated by the data processing module to a pre-designated learning DB, wherein the data processing module comprises: a chewing data collection unit that collects masticatory muscle electromyography data from at least one electromyography sensor provided in the wearable device when a 'start eating' signal is received from the user terminal; a chewing data analysis unit that counts the number of chewings based on the masticatory muscle electromyography data collected by the chewing data collection unit and measures the chewing force by determining whether the masticatory muscle electromyography data satisfies a preset recommended chewing range; and, when the masticatory force measured by the chewing data analysis unit exceeds a preset limited chewing force, a strong chewing It is characterized by including a warning signal generation unit that generates a warning signal and transmits it to a user terminal, and a eating habit monitoring unit that stops collecting masticatory muscle electromyography data collected through a wearable device when a 'meal completion' signal is received from the user terminal, generates user eating habit data based on the number of masticatory cycles and masticatory force generated by the masticatory data analysis unit and the strong masticatory warning signal generated by the warning signal generation unit, and transmits the user eating habit data to the user terminal.

[0011] In addition, the masticatory data analysis unit is characterized by including a data filtering unit that removes noise included in masticatory muscle electromyography data, a masticatory counting unit that counts the number of masticatory operations by generating at least one marker in masticatory muscle electromyography data from which noise has been removed, and a masticatory force calculating unit that calculates the maximum masticatory force based on the voltage magnitude of masticatory muscle electromyography data from which noise has been removed.

[0012] In addition, the mastication counting unit is characterized in that it compares the voltage of masticatory muscle electromyography data with a preset threshold voltage Vth to generate at least one marker, and generates a rising marker when the voltage of masticatory muscle electromyography data exceeds the threshold voltage Vth in a section where the voltage is less than the threshold voltage Vth, and generates a falling marker when the voltage of masticatory muscle electromyography data becomes lower than the threshold voltage Vth in a section where the voltage exceeds the threshold voltage Vth, and generates a pulse signal based on the rising marker and the falling marker, counts the number of pulse signals to count the number of mastication, and calculates a mastication speed based on the width of the pulse signal.

[0013] In addition, the warning signal generation unit is characterized in that, when the maximum masticatory force calculated by the masticatory data analysis unit based on the voltage size of the masticatory muscle electromyography data exceeds the limited masticatory force, it generates a strong masticatory warning signal, counts the number of times the strong masticatory warning signal is generated, and, when the strong masticatory warning signal is generated, transmits a real-time notification signal corresponding to the strong masticatory warning signal to the user terminal.

[0014] In addition, the eating habit monitoring unit generates user eating habit data based on the number of chewings and chewing force produced by the chewing data analysis unit and the strong chewing warning signal generated by the warning signal generation unit, wherein the user eating habit data includes chewing force correction guide information and chewing number correction guide information.

[0015] According to the present invention, electromyography data of a user while eating is collected using a wearable device, and the data is analyzed to calculate the number of chewing movements and chewing force of the user, thereby analyzing the user's standard chewing force, maximum chewing force, etc., thereby having the effect of inducing the user to eat with a chewing force suitable for the user.

[0016] In addition, considering the differences in individual electromyography signals, a user wearing a wearable device performs individual masticatory force measurement according to a masticatory force measurement protocol, calculates the signal-to-noise ratio (SNR) between the collected electromyography data and noise, and sets individual standard masticatory force, maximum masticatory force, and excessive masticatory force, thereby providing an optimized excessive masticatory force notification function to the user, thereby preventing temporomandibular joint disorder and tooth wear in advance and encouraging healthy eating habits.

[0017] FIG. 1 is a configuration diagram of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention.

[0018] FIG. 2 is a diagram for explaining a data processing module of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention.

[0019] FIG. 3 is a drawing for explaining a chewing data analysis unit of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention.

[0020] FIG. 4 is a drawing for explaining a warning signal generation unit of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention.

[0021] FIG. 5 is a flowchart illustrating an initial measurement protocol of a data processing module of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention.

[0022] Specific details, including the problems to be solved, means of solving them, and effects of the invention, are included in the embodiments and drawings described below. The advantages and features of the present invention, and methods for achieving them, will become clearer with reference to the embodiments described below in detail, along with the accompanying drawings.

[0023] The scope of the present invention is not limited to the embodiments described below, and various modifications may be made by a person having ordinary knowledge in the relevant technical field without departing from the technical spirit of the present invention.

[0024]

[0025] Hereinafter, the title of the invention of the present invention is described in detail with reference to the attached drawing 1.

[0026] FIG. 1 is a block diagram of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention, FIG. 2 is a diagram for explaining a data processing module of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention, FIG. 3 is a diagram for explaining a chewing data analysis unit of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention, FIG. 4 is a diagram for explaining a warning signal generation unit of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention, and FIG. 5 is a flowchart for explaining an initial measurement protocol of a data processing module of a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention.

[0027]

[0028] Example 1

[0029] Referring to FIG. 1, a chewing monitoring system (100) that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention may include a wearable device (110), a data processing module (120), and a data communication module (130).

[0030] At this time, the wearable device (110) may be provided in a shape that is attached to one side of the user's face, including a gel pad, and more preferably, may be attached to one side of the user's left and right temples.

[0031] Therefore, it is preferable that the wearable devices (110) are provided in pairs of two so as to be attached to the left temple and the right temple, respectively.

[0032] In addition, the wearable device (110) may be provided with at least one electromyography sensor in an area attached to the user's face, and a battery with a preset capacity and a wireless communication module that supports wireless communication with the user terminal (10) may be mounted inside the housing of the wearable device (110).

[0033]

[0034] The above data processing module (120) can collect and analyze temporalis muscle electromyography data collected from the wearable device (110) to generate user eating habit data, and transmit the user eating habit data to a designated user terminal (10).

[0035] More specifically, as illustrated in FIG. 2, the data processing module (120) includes a mastication data collection unit (121) that collects the temporalis electromyography data from at least one electromyography sensor provided in the wearable device (110) when a 'start of eating' signal is received from the user terminal (10), a mastication data analysis unit (122) that counts the number of mastications based on the temporalis electromyography data collected by the mastication data collection unit (121) and measures the mastication force by determining whether the temporalis electromyography data satisfies a preset recommended mastication range, a warning signal generation unit (123) that generates a strong mastication warning signal and transmits it to the user terminal (10) when the mastication force measured by the mastication data analysis unit (122) exceeds a preset limited mastication force, and a warning signal generation unit (123) that generates a strong mastication warning signal and transmits it to the user terminal (10) when a 'finish of eating' signal is received from the user terminal (10). It may include a food habit monitoring unit (124) that stops collecting, generates the user eating habit data based on the number of times and the amount of chewing generated by the data analysis unit (122) and the strong chewing warning signal generated by the warning signal generation unit (123), and transmits the user eating habit data to the user terminal (10).

[0036]

[0037] Referring to FIGS. 3 and 4, the mastication data analysis unit (122) may include a data filtering unit (1221) that removes noise included in the temporalis muscle electromyography data, a mastication counting unit (1222) that generates at least one marker in the temporalis muscle electromyography data from which the noise has been removed and counts the number of mastications, and a mastication force calculating unit (1223) that calculates the maximum mastication force based on the voltage magnitude of the temporalis muscle electromyography data from which the noise has been removed.

[0038] In addition, the above-described number of times counting unit (1222) can generate at least one marker (41, 42) by comparing the voltage of the temporalis muscle EMG data with a preset threshold voltage Vth, and can generate a rising marker (41) when the voltage of the temporalis muscle EMG data exceeds the threshold voltage Vth in a section where the voltage is less than the threshold voltage Vth, and can generate a falling marker (42) when the voltage of the temporalis muscle EMG data becomes less than the threshold voltage Vth in a section where the voltage exceeds the threshold voltage Vth.

[0039] In addition, a pulse signal (43) can be generated based on the rising marker (41) and the falling marker (42), the number of pulse signals (43) can be counted to count the number of times of mastication, and the mastication speed can be calculated based on the width of the pulse signal (43).

[0040] For example, the process of generating the rising marker (41) and the falling marker (42) and generating the pulse signal (43) based on the rising marker (41) and the falling mark (42) can be performed sequentially.

[0041] That is, when the descending marker (42) is generated, the pulse signal (43) can be automatically generated.

[0042] As another example, when the pulse signal (43) is generated, the rising marker (41) and the falling mark (42) used to generate the pulse signal (43) may be automatically extinguished.

[0043] Accordingly, the above-mentioned number of times counting unit (1222) can generate one rising marker, one falling marker, and one pulse signal at a time.

[0044]

[0045] Meanwhile, the masticatory force calculation unit (1223) can calculate the average masticatory force and maximum masticatory force based on the voltage size of the temporalis muscle electromyography data.

[0046] For example, when the pulse signal is generated by the number of chewing cycles counting unit (1222), the masticatory force calculation unit (1223) can calculate the pulse average masticatory force and the pulse maximum masticatory force based on the average voltage size of the temporalis muscle electromyography data during the pulse cycle.

[0047] In addition, when the 'meal completion' signal is received from the user terminal (10), the chewing force calculation unit (1223) can calculate the meal average chewing force by dividing the total of the pulse average chewing force calculated during the meal by the total number of chewing counts during the meal.

[0048] Accordingly, the user eating habit data generated by the eating habit monitoring unit (124) may include the average eating force information calculated by the chewing force calculation unit (1223).

[0049]

[0050] Meanwhile, the warning signal generation unit (123) generates the strong chewing warning signal when the average maximum chewing force calculated by the chewing data analysis unit (122) based on the voltage size of the temporalis muscle electromyography data exceeds the limited chewing force Vmax, counts the number of times the strong chewing warning signal is generated, and when the strong chewing warning signal is generated, transmits a real-time notification signal corresponding to the strong chewing warning signal to the user terminal (10).

[0051] More specifically, the warning signal generation unit (123) can determine whether the voltage of the temporalis muscle electromyography data for each pulse signal (43) generated by the masticatory data analysis unit (122) exceeds the limited masticatory force Vmax.

[0052] Accordingly, if it is determined that a section exceeding the above-mentioned limited chewing force Vmax has occurred within the pulse signal (43), the user is recognized as eating with strong chewing force, and a real-time notification signal is transmitted to the user terminal (10), and the user is induced to recognize that he is eating with strong chewing force and adjust the intensity of the chewing force to eat.

[0053] At this time, the above-mentioned limited authoring power Vmax may be modified for each user by at least one of a pre-designated administrator terminal (not shown) and the user terminal (10).

[0054]

[0055] Meanwhile, the eating habit monitoring unit (124) generates the user eating habit data based on the number of chewings and the chewing force calculated by the chewing data analysis unit (122) and the strong chewing warning signal generated by the warning signal generation unit (123), and the user eating habit data may include chewing force correction guide information and chewing number correction guide information.

[0056] In addition, the eating habit monitoring unit (124) can compare the number of chewing and the time required for eating calculated by the chewing data analysis unit (122) with the target number of chewing and the target time required for eating set through the user terminal (10) to determine whether the goal has been achieved.

[0057]

[0058] For example, the chewing force correction guide information is generated by comparing the average chewing force of the meal calculated by the chewing data analysis unit (122) with the recommended chewing range, and the recommended chewing range is set in response to the amplitude (voltage size) of the pulse signal (43), and may include a 'normal range' defined as a range that is higher than the threshold voltage Vth and lower than the median value of the amplitude (voltage size) of the pulse signal (43), and a 'caution range' defined as a range that is higher than the median value of the amplitude (voltage size) of the pulse signal (43) and lower than the limited chewing force Vmax.

[0059] At this time, the above-mentioned 'normal section' and the above-mentioned 'caution section' can be changed by the user terminal (10).

[0060]

[0061] More specifically, the above chewing force correction guide information may include, when the average chewing force during a meal falls within the 'caution range' of the recommended chewing range or the number of occurrences of the strong chewing warning signal generated by the warning signal generation unit (123) exceeds a preset standard number of times, information comparing the average chewing force during a meal with the recommended chewing force, and information guiding tooth wear, temporomandibular joint disorder, etc. that may be caused by strong chewing force.

[0062] For example, when a chewing force guide request signal is received from the user terminal (10) in response to information comparing the recommended chewing force with the average chewing force per meal, the eating habit monitoring unit (124) may collect the user's temporalis muscle electromyography data through the wearable device (110) and display real-time chewing force on the user terminal (10).

[0063] Accordingly, the eating habit monitoring unit (124) has the effect of guiding the user to form correct eating habits by recognizing the real-time chewing force displayed on the user terminal (10) and experiencing the recommended chewing force included in the chewing force correction guide information.

[0064]

[0065] Meanwhile, the above-mentioned guide information for correcting the number of chewing times may include information that guides that even if the average chewing power for the meal falls within the 'normal range' of the recommended chewing range, if the number of chewing times and the time required for the meal calculated by the chewing data analysis unit (122) are less than the target number of chewing times and the target time required for the meal set through the user terminal (10), the food moves to the stomach without being sufficiently broken down, which may cause gastrointestinal disorders such as indigestion.

[0066]

[0067] The above data learning module (130) can transmit the user eating habit data generated by the data processing module (120) to a pre-designated learning DB (20).

[0068] For example, the learning DB (20) may store the history of the user eating habit data generated through the wearable device (110) paired with the user terminal (10).

[0069] In addition, the data learning module (130) may receive meal-specific diet information from the user terminal (10), and generate user-customized diet data including user-customized diet information, target number of chewing times, target meal time, target chewing power, etc. based on the meal-specific diet information and the history of the user eating habit data, and provide the generated data to the user terminal (10).

[0070]

[0071] Meanwhile, when the wearable device (110) and the user terminal (10) are paired for the first time, the data processing module (120) can control an initial measurement protocol to be performed through the wearable device (10) to measure average chewing force, maximum chewing force, and limited chewing force.

[0072] More specifically, as illustrated in FIG. 5, the data processing module (120) can determine (520) whether pairing between devices is performed for the first time when the user terminal (10) and the wearable device (110) are paired (510).

[0073] When the pairing between the above devices is performed for the first time, the data processing module (120) can perform a pre-stored initial measurement protocol (530) and display authoring guide information on the user terminal (10) (540).

[0074]

[0075] *For example, the above-mentioned chewing guide information may include a guidance message that induces chewing of gum or the like and, when the gum is sufficiently softened, induces input of an initial measurement request signal through the user terminal (10).

[0076] When an initial measurement request signal is received (550) through the user terminal (10), real-time electromyography data collected through the wearable device (110) can be collected (560).

[0077] At this time, the chewing guide information may include a guidance message that induces natural gum chewing for 10 seconds to measure average chewing force, a guidance message that induces resting for 5 seconds when average chewing force measurement is completed, and a guidance message that induces clenching for 2 seconds and resting for 3 seconds three times to measure maximum chewing force when resting is finished.

[0078] In addition, the data processing module (120) can calculate the average chewing force and maximum chewing force based on real-time electromyography data collected through the wearable device (110), and calculate the noise ratio between the real-time electromyography data signal and noise (570).

[0079] Therefore, by calculating the average chewing force and maximum chewing force per user through the above initial measurement protocol, it is possible to correct the temporalis muscle electromyography data collected during a meal after performing the above initial measurement protocol, count the number of chewing operations more precisely, and determine whether limited chewing force occurs.

[0080]

[0081] Example 2

[0082] Meanwhile, the mastication monitoring method for providing excessive mastication force notification through mastication force measurement and signal correction of the mastication monitoring system (100) for providing excessive mastication force notification through mastication force measurement and signal correction comprises: a first step in which the mastication data collection unit (121) of the data processing module (120) determines whether the user terminal (10) and the wearable device (110) are paired; a second step in which the mastication data collection unit (111) collects temporalis muscle electromyography data collected through the wearable device (110) when the mastication data collection unit (111) determines that the user terminal (10) and the wearable device (110) are paired and a 'start of eating' signal is received from the user terminal (10); a third step in which the mastication data analysis unit (122) of the data processing module (130) calculates the number of mastication movements and the mastication force based on the temporalis muscle electromyography data; The method may include a fourth step in which the warning signal generation unit (123) of the data processing module (130) generates a strong chewing warning signal based on the chewing force calculated by the chewing data analysis unit (122); a fifth step in which, when 'meal completion' is received from the user terminal (10), the chewing data collection unit (121) stops collecting the temporalis muscle EMG data, and the eating habit monitoring unit (124) generates user eating habit data based on the chewing number and chewing force calculated by the eating data analysis unit (122) and the strong chewing warning signal generated by the warning signal generation unit (123); and a sixth step in which the data learning module (130) transmits the user eating habit data generated by the eating habit monitoring unit (124) to a pre-designated learning DB (20).

[0083]

[0084] Accordingly, according to the present invention as described above, a chewing monitoring system and method can be provided that collects electromyography data of a user while eating using a wearable device, analyzes the data to calculate the number of chewing movements and chewing force of the user, and analyzes the user's standard chewing force, maximum chewing force, etc., thereby providing a chewing force measurement and signal correction to notify of excessive chewing force to guide the user to eat with a chewing force suitable for the user.

[0085] In addition, considering the differences in individual electromyography signals, a user wearing a wearable device performs individual masticatory force measurement according to a masticatory force measurement protocol, calculates a signal-to-noise ratio (SNR) between the collected electromyography data and noise, and sets individual standard masticatory force, maximum masticatory force, and excessive masticatory force, thereby providing an optimized excessive masticatory force notification function for the user, thereby preventing temporomandibular joint disorder and tooth wear in advance, and providing an excessive masticatory force notification through masticatory force measurement and signal correction to encourage healthy eating habits, and a masticatory monitoring system and method thereof can be provided.

[0086]

[0087] In addition, a method for controlling a chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction according to an embodiment of the present invention may be recorded on a computer-readable medium including program commands for performing various computer-implemented operations. The computer-readable medium may include program commands, data files, data structures, etc., alone or in combination. The program commands may be specially designed and configured for the present invention or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program commands such as ROMs, RAMs, and flash memories. Examples of program commands include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc.

[0088]

[0089] Although the embodiments of the present invention have been described with limited examples and drawings, the embodiments of the present invention are not limited to the embodiments described above, and various modifications and variations are possible based on this description by those skilled in the art to which the present invention pertains. Therefore, the embodiments of the present invention should be understood solely by the scope of the claims set forth below, and all equivalent or equivalent modifications thereof are deemed to fall within the scope of the present invention.

[0090]

[0091] 10: User terminal

[0092] 20: Learning DB

[0093] 110: Wearable Device

[0094] 120: Data processing module 121: Authoring data collection unit

[0095] 122: Authoring Data Analysis Department

[0096] 1221: Data Filtering Section

[0097] 1222: Copyright counting section

[0098] 1223: Copyright calculation section

[0099] 123: Warning signal generation unit

[0100] 124: Eating Habit Monitoring Department

[0101] 130: Data Learning Module

Claims

1. At least one wearable device attached to one side of the user's face; A data processing module that collects and analyzes temporalis muscle electromyography data collected from the wearable device to generate user eating habit data and transmits the user eating habit data to a designated user terminal; and A data learning module that transmits the user eating habit data generated by the data processing module to a pre-designated learning DB; The above data processing module, A data collection unit that collects temporalis muscle electromyography data from at least one electromyography sensor provided in the wearable device when a 'start of meal' signal is received from the user terminal; A masticatory data analysis unit that counts the number of masticatory operations based on the temporalis muscle electromyography data collected in the masticatory data collection unit and measures masticatory force by determining whether the temporalis muscle electromyography data satisfies a preset recommended masticatory range; A warning signal generation unit that generates a strong warning signal and transmits it to the user terminal when the measured writing force in the writing data analysis unit exceeds a preset limit writing force; and A chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction, characterized in that it includes an eating habit monitoring unit that stops collecting the temporalis muscle electromyography data collected through the wearable device when a 'meal completion' signal is received from the user terminal, generates the user eating habit data based on the chewing number and chewing force generated by the chewing data analysis unit and the strong chewing warning signal generated by the warning signal generation unit, and transmits the user eating habit data to the user terminal.

2. In paragraph 1, The above copyright data analysis department, A data filtering unit for removing noise included in the above temporalis muscle electromyography data; A mastication counting unit that counts the number of mastications by generating at least one marker in the temporalis muscle electromyography data from which the noise has been removed; and A chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction, characterized in that it includes a chewing force calculation unit that calculates maximum chewing force based on the voltage magnitude of the temporalis muscle electromyography data from which the noise has been removed.

3. In paragraph 2, The above copyright counting section, At least one marker is generated by comparing the voltage of the above temporalis muscle EMG data with a preset threshold voltage Vth, A rising marker is generated when the voltage of the temporalis muscle EMG data exceeds the threshold voltage Vth in a section where the voltage is less than the threshold voltage Vth, A falling marker is generated when the voltage of the temporalis muscle EMG data exceeds the threshold voltage Vth and becomes lower than the threshold voltage Vth. Generate a pulse signal based on the rising marker and the falling marker, A chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction, characterized in that the number of pulse signals is counted to count the number of chewing operations and the chewing speed is calculated based on the width of the pulse signals.

4. In paragraph 1, The above warning signal generating unit, If the maximum chewing force calculated by the chewing data analysis unit based on the voltage size of the temporalis muscle electromyography data exceeds the limited chewing force, the strong chewing warning signal is generated, and the number of times the strong chewing warning signal is generated is counted. A chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction, characterized in that when the strong chewing warning signal is generated, a real-time notification signal corresponding to the strong chewing warning signal is transmitted to the user terminal.

5. In paragraph 1, The above eating habit monitoring department, The user eating habit data is generated based on the number of chewing times and chewing power produced by the chewing data analysis unit and the strong chewing warning signal generated by the warning signal generation unit. The above user eating habits data is, A chewing monitoring system that provides excessive chewing force notification through chewing force measurement and signal correction, characterized in that it includes chewing force correction guide information and chewing count correction guide information.

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