CN110693496A - Method for detecting human body fat rate by using intelligent closestool - Google Patents
Method for detecting human body fat rate by using intelligent closestool Download PDFInfo
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- 210000000577 adipose tissue Anatomy 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 99
- 238000004364 calculation method Methods 0.000 claims abstract description 70
- 210000001217 buttock Anatomy 0.000 claims abstract description 11
- 210000000689 upper leg Anatomy 0.000 claims abstract description 11
- 238000012360 testing method Methods 0.000 claims description 72
- 238000011871 bio-impedance analysis Methods 0.000 description 3
- 238000002847 impedance measurement Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 239000003990 capacitor Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003287 bathing Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
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- 238000012827 research and development Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03D—WATER-CLOSETS OR URINALS WITH FLUSHING DEVICES; FLUSHING VALVES THEREFOR
- E03D9/00—Sanitary or other accessories for lavatories ; Devices for cleaning or disinfecting the toilet room or the toilet bowl; Devices for eliminating smells
Abstract
The invention discloses a method for detecting human body fat rate by using an intelligent closestool, which comprises the following steps: acquiring the sex, age and height of a target user; based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body; judging a target user detection condition based on the target user capacitance value; acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition; and calculating the human body fat rate of the target user based on the impedance information of the target user and the sex, the age and the height of the target user. The detection conditions of the target user are obtained through judgment, and corresponding information acquisition and calculation are carried out according to the detection conditions, so that the human body fat rate of the target user is obtained, and the human body fat rate detection of the target user under different detection conditions is realized.
Description
Technical Field
The invention relates to the technical field of intelligent toilets, in particular to a method for detecting human body fat rate by using an intelligent toilet.
Background
With the continuous progress of the intelligent toilet technology, a method for detecting human health indexes by using the intelligent toilet is widely researched, wherein the detection of human body fat by using a BIA (bio-impedance analysis) method is a hot point of research and development. The traditional BIA (bio-impedance method) for calculating the human body fat percentage of a human body needs to accurately acquire relevant parameters of the weight of the human body, resistance among multiple points, height, age, sex and the like, and then calculates according to a fitted empirical formula.
When the closestool is used, in order to not increase the use difficulty of a user and not interfere the normal toilet entering of the user, the connection and operation actions cannot be additionally increased when the human body is weighed and the human body resistance is measured, therefore, a corresponding sensor is preferably directly arranged on the closestool ring, and the measurement of the weight and the impedance of the human body is carried out by matching with a corresponding structure.
The contact of thighs and buttocks with the toilet seat ring is generally realized when a person uses the toilet, the skin of the thighs and the buttocks of a human body is generally dry, the contact resistance is very large, the condition that the skin of the human body is wet after sweating or bathing also exists, the contact resistance is easy to reduce under the condition, and the stability and the accuracy of the measurement of the resistance of the human body are seriously influenced due to the uncertainty of the contact resistance. In extreme cases, individual users do not use the toilet and carry out body fat detection alone, and at this time, the users do not want to take off the toilet for detection, but directly sit on the toilet for detection, and the skin of thighs and buttocks cannot be directly contacted with the sensor on the toilet seat, so that the body resistance cannot be obtained.
In order to solve the problems, the invention provides a method for detecting the human body fat rate by using an intelligent closestool, which comprises the steps of obtaining detection conditions such as the lower garment wearing thickness or the skin humidity of a user by judgment, calculating a plurality of parameters, and fitting a formula by comparing a large amount of data so as to detect the human body fat under different conditions.
Disclosure of Invention
Aiming at the defects in the prior art, the invention actually solves the problems that: how to realize the human body fat rate detection of target users with different detection conditions.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for detecting body fat rate using an intelligent toilet, comprising:
acquiring the sex, age and height of a target user;
based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body;
judging a target user detection condition based on the target user capacitance value;
acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition;
and calculating the human body fat rate of the target user based on the impedance information of the target user and the sex, the age and the height of the target user.
Preferably, the judging of the target user detection condition based on the capacitance value includes:
calling a preset capacitance value interval and corresponding detection conditions thereof;
and when the capacitance value of the target user is within a preset capacitance value interval, judging that the detection condition of the target user is a detection condition corresponding to the preset capacitance value interval.
Preferably, the detection conditions comprise under-garment conditions and/or skin moisture conditions.
Preferably, the calculating the body fat rate of the target user based on the impedance information of the target user and the sex, age and height of the target user comprises:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition and the gender;
and calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user and the age and the height of the target user.
Preferably, the calculation formula of the human body fat percentage of the target user of a certain gender corresponding to any detection condition is obtained by adopting the following method:
selecting a plurality of test users with different statures and the same detection conditions;
acquiring the ages and heights of the test users, and generating age influence parameters and height influence parameters of each test user;
applying a pulse to each test user by taking the frequency x as a starting point, z as a stepping length and the frequency y as an end point to acquire impedance information of the test user;
detecting the human body fat rate of a test user by adopting a human body fat rate detection device;
determining a calculation parameter based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user;
the calculation formula of the human body fat percentage of the ith test user is as follows:
in the formula, FiFor the human fat rate of the ith test user,
for testing user impedance information, K, collected at a frequency of alphaαIs ZαCorresponding calculation parameters;
F＝(KxZx+Kx+zZx+z+Kx+z+zZx+z+z+...+KαZα+...+Ky-zZy-z+KyZyage influencing parameter (height influencing parameter)
Wherein F is the human body fat rate of the target user, ZαThe impedance information of the target user is acquired when the frequency is alpha.
A method for detecting body fat rate using an intelligent toilet, comprising:
based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body;
judging a target user detection condition based on the target user capacitance value;
acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition;
calculating the human body fat rate of the target user based on the impedance information of the target user;
determining a target user detection condition based on the capacitance value includes:
calling a preset capacitance value interval and corresponding detection conditions thereof;
when the capacitance value of the target user is within a preset capacitance value interval, judging that the detection condition of the target user is a detection condition corresponding to the preset capacitance value interval;
the detection conditions include under-garment conditions and/or skin moisture conditions;
the calculating the human body fat rate of the target user based on the impedance information of the target user comprises:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition;
calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user;
the calculation formula of the human body fat rate of the target user corresponding to each detection condition is obtained by adopting the following mode:
selecting a plurality of test users with different statures and the same detection conditions;
applying a pulse to each test user by taking the frequency x as a starting point, z as a stepping length and the frequency y as an end point to acquire impedance information of the test user;
detecting the human body fat rate of a test user by adopting a human body fat rate detection device;
determining a calculation parameter based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user;
the calculation formula of the human body fat percentage of the ith test user is as follows:
in the formula, FiFor the human fat rate of the ith test user,
for testing user impedance information, K, collected at a frequency of alphaαIs ZαCorresponding toCalculating parameters;
F＝KxZx+Kx+zZx+z+Kx+z+zZx+z+z+…KαZα+…+Ky-zZy-z+KyZy
wherein F is the human body fat rate of the target user, ZαThe impedance information of the target user is acquired when the frequency is alpha.
In summary, the invention discloses a method for detecting human body fat percentage by using an intelligent closestool, which comprises the following steps: acquiring the sex, age and height of a target user; based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body; judging a target user detection condition based on the target user capacitance value; acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition; and calculating the human body fat rate of the target user based on the impedance information of the target user and the sex, the age and the height of the target user. The detection conditions of the target user are obtained through judgment, and corresponding information acquisition and calculation are carried out according to the detection conditions, so that the human body fat rate of the target user is obtained, and the human body fat rate detection of the target user under different detection conditions is realized.
Drawings
For purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made in detail to the present invention as illustrated in the accompanying drawings, in which:
FIG. 1 is a flowchart of an embodiment of a method for detecting body fat percentage using an intelligent toilet according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the present invention discloses a method for detecting human body fat rate by using an intelligent toilet, comprising:
acquiring the sex, age and height of a target user;
based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body;
judging a target user detection condition based on the target user capacitance value;
acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition;
and calculating the human body fat rate of the target user based on the impedance information of the target user and the sex, the age and the height of the target user.
According to the invention, the detection condition of the target user is obtained through judgment, and corresponding information acquisition and calculation are carried out according to the detection condition and the sex, age and height of the target user, so that the body fat rate of the target user is obtained, and the body fat rate detection of the target user under different detection conditions is realized.
In specific implementation, the calculating the body fat rate of the target user based on the impedance information of the target user and the sex, age and height of the target user comprises:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition and the gender;
and calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user and the age and the height of the target user.
Due to the body difference caused by different sexes, different target users with the same detection conditions but different sexes adopt different human body fat rate calculation formulas of the target users. Therefore, the accuracy of the calculation parameters in the formula can be ensured when the calculation formula of the human body fat rate of the target user is generated.
In particular implementations, the detection conditions include under-garment conditions and/or skin moisture conditions.
The information acquisition device can be an electrode plate on the toilet seat, and the electrode plate, the human body and the skin (or cloth) form a capacitor which can be simplified into a flat capacitor. Using simplified plate capacitance calculation formulaThe capacitance is measured by loading a pulse with a fixed frequency (for example 500KHz), and since S and epsilon are fixed values, the detection conditions, such as whether the lower garment is worn, the thickness of the lower garment when the lower garment is worn, and the humidity of the skin when the lower garment is not worn, can be judged by the capacitance value C. In practice, the detection condition may be divided into a plurality of levels, and each level is provided with a different preset capacitance interval.
In specific implementation, the calculating the human body fat percentage of the target user based on the impedance information of the target user includes:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition;
and calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user.
In specific implementation, the calculation formula of the human body fat rate of the target user of a certain gender corresponding to any detection condition is obtained by adopting the following method:
selecting a plurality of test users with different statures and the same detection conditions;
acquiring the ages and heights of the test users, and generating age influence parameters and height influence parameters of each test user;
applying a pulse to each test user by taking the frequency x as a starting point, z as a stepping length and the frequency y as an end point to acquire impedance information of the test user;
detecting the human body fat rate of a test user by adopting a human body fat rate detection device;
determining a calculation parameter based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user;
the calculation formula of the human body fat percentage of the ith test user is as follows:
in the formula, FiFor the human fat rate of the ith test user,for testing user impedance information, K, collected at a frequency of alphaαIs ZαCorresponding calculation parameters;
F＝(KxZx+Kx+zZx+z+Kx+z+zZx+z+z+...+KαZα+...+Ky-zZy-z+KyZyage influencing parameter (height influencing parameter)
Wherein F is the human body fat rate of the target user, ZαThe impedance information of the target user is acquired when the frequency is alpha.
For different detection conditions, impedance measurement is carried out on a test user, 5KHz is taken as a starting point, 5KHz is taken as a stepping length, 1Mhz is taken as an end point, 3.3V pulses are applied to a human body, 200 times of impedance measurement is carried out, and the obtained test data shows that the impedance and the frequency measured by each group are not in linear relation or inverse proportion and are not in accordance with a capacitive reactance formula and an inductive reactance formula.
According to the invention, data of a plurality of test users with different statures are acquired under the same detection conditions, so that the calculation parameters corresponding to the detection conditions and the calculation formula of the human body fat rate of the target user are fitted and determined, and the human body fat rate calculation under different detection conditions is realized. In the invention, in order to further improve the calculation accuracy, when the human body fat rate of the user is detected and tested by adopting the human body fat rate detection device, any user can be detected for multiple times, and the average value is calculated after an end value is removed, so that the influence of the environment and the skin change of the user is reduced when the fat rate of the user is detected and tested.
In the invention, the calculation formula is corrected by adding an age influence parameter and a height influence parameter, wherein the age influence parameter can be obtained by looking up a table, and the height influence parameter is a weighted multiplication and division operation.
The invention not only considers the acquired impedance information, but also fully considers the influence caused by height and age difference among different users, and further improves the accuracy rate of detection. And when the body fat percentage of the target user is finally calculated, generating a height influence parameter and an age influence parameter based on the height and the age of the target user.
Taking 10 detection conditions of the test user as an example that the test user does not take the test user down, at this time, the number of frequency points of impedance measurement is not more than 10, the number of detection points is 10, and the process of confirming the calculation parameters is as follows:
selecting 10 test users with different sizes and the same gender without the clothes;
acquiring the ages and heights of the 10 test users and generating corresponding age influence parameters and height influence parameters;
the human body fat rates of the 10 test users are detected by adopting special equipment, the human body fat rate of each test user can be respectively measured by adopting a plurality of equipment in the detection process, and the average value is calculated after end values are removed, so that the accuracy of the measurement result is ensured;
and (3) performing impedance test on each test user to obtain a human body fat rate calculation formula of the corresponding test user:
……
and determining calculation parameters based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user.
If the number of the test users is more than 10, the number of the obtained calculation parameters is consistent with the number of the test users. In principle, the more the number of test users is, the more the calculation parameters are, and the more accurate the obtained result is.
For the determination of the calculation parameters of the target users with different sexes, the test users with different sexes can be selected to respectively perform the determination.
The invention also discloses a method for detecting the human body fat rate by using the intelligent closestool, which comprises the following steps:
based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body;
judging a target user detection condition based on the target user capacitance value;
acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition;
calculating the human body fat rate of the target user based on the impedance information of the target user;
determining a target user detection condition based on the capacitance value includes:
calling a preset capacitance value interval and corresponding detection conditions thereof;
when the capacitance value of the target user is within a preset capacitance value interval, judging that the detection condition of the target user is a detection condition corresponding to the preset capacitance value interval;
the detection conditions include under-garment conditions and/or skin moisture conditions;
the calculating the human body fat rate of the target user based on the impedance information of the target user comprises:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition;
calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user;
the calculation formula of the human body fat rate of the target user corresponding to each detection condition is obtained by adopting the following mode:
selecting a plurality of test users with different statures and the same detection conditions;
applying a pulse to each test user by taking the frequency x as a starting point, z as a stepping length and the frequency y as an end point to acquire impedance information of the test user;
detecting the human body fat rate of a test user by adopting a human body fat rate detection device;
determining a calculation parameter based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user;
the calculation formula of the human body fat percentage of the ith test user is as follows:
in the formula, FiFor the human fat rate of the ith test user,
for testing user impedance information, K, collected at a frequency of alphaαIs ZαCorresponding calculation parameters;
F＝KxZx+Kx+zZx+z+Kx+z+zZx+z+z+…KαZα+…+Ky-zZy-z+KyZy
wherein F is the human body fat rate of the target user, ZαThe impedance information of the target user is acquired when the frequency is alpha.
In the invention, in order to improve the detection efficiency, the human body fat rate can be calculated by only adopting the calculation parameters.
Finally, it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that, while the invention has been described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. A method for detecting human body fat rate by using an intelligent closestool is characterized by comprising the following steps:
acquiring the sex, age and height of a target user;
based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body;
judging a target user detection condition based on the target user capacitance value;
acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition;
and calculating the human body fat rate of the target user based on the impedance information of the target user and the sex, the age and the height of the target user.
2. The method for detecting human fat percentage using an intelligent toilet according to claim 1, wherein determining the target user detection condition based on the capacitance value comprises:
calling a preset capacitance value interval and corresponding detection conditions thereof;
and when the capacitance value of the target user is within a preset capacitance value interval, judging that the detection condition of the target user is a detection condition corresponding to the preset capacitance value interval.
3. The method for detecting human fat percentage using an intelligent toilet as claimed in claim 2, wherein the detection condition includes a lower garment condition and/or a skin moisture condition.
4. The method of detecting body fat rate using an intelligent toilet of claim 1, wherein the calculating the body fat rate of the target user based on the target user impedance information and the gender, age, and height of the target user comprises:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition and the gender;
and calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user and the age and the height of the target user.
5. The method for detecting human body fat rate by using the intelligent closestool as claimed in claim 4, wherein the target user human body fat rate calculation formula of a certain gender corresponding to any detection condition is obtained by adopting the following method:
selecting a plurality of test users with different statures and the same detection conditions;
acquiring the ages and heights of the test users, and generating age influence parameters and height influence parameters of each test user;
applying a pulse to each test user by taking the frequency x as a starting point, z as a stepping length and the frequency y as an end point to acquire impedance information of the test user;
detecting the human body fat rate of a test user by adopting a human body fat rate detection device;
determining a calculation parameter based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user;
the calculation formula of the human body fat percentage of the ith test user is as follows:
in the formula, FiFor the human fat rate of the ith test user,
for testing user impedance information, K, collected at a frequency of alphaαIs ZαCorresponding calculation parameters;
F＝(KxZx+Kx+zZx+z+Kx+z+zZx+z+z+...+KαZα+...+Ky-zZy-z+KyZyage influencing parameter (height influencing parameter)
Wherein F is the human body fat rate of the target user, ZαThe impedance information of the target user is acquired when the frequency is alpha.
6. A method for detecting human body fat rate by using an intelligent closestool is characterized by comprising the following steps:
based on the capacitance value of the target user acquired by the information acquisition device, the information acquisition device is arranged on the toilet seat at a position corresponding to the thighs and/or the buttocks of the human body;
judging a target user detection condition based on the target user capacitance value;
acquiring impedance information of a target user by using an information acquisition device and adopting a frequency corresponding to a target user detection condition;
calculating the human body fat rate of the target user based on the impedance information of the target user;
determining a target user detection condition based on the capacitance value includes:
calling a preset capacitance value interval and corresponding detection conditions thereof;
when the capacitance value of the target user is within a preset capacitance value interval, judging that the detection condition of the target user is a detection condition corresponding to the preset capacitance value interval;
the detection conditions include under-garment conditions and/or skin moisture conditions;
the calculating the human body fat rate of the target user based on the impedance information of the target user comprises:
calling a target user human body fat rate calculation formula corresponding to the target user detection condition;
calculating the human body fat rate of the target user based on the human body fat rate calculation formula of the target user;
the calculation formula of the human body fat rate of the target user corresponding to each detection condition is obtained by adopting the following mode:
selecting a plurality of test users with different statures and the same detection conditions;
applying a pulse to each test user by taking the frequency x as a starting point, z as a stepping length and the frequency y as an end point to acquire impedance information of the test user;
detecting the human body fat rate of a test user by adopting a human body fat rate detection device;
determining a calculation parameter based on the human body fat rate calculation formulas of all the test users, and generating a human body fat rate calculation formula of the target user;
the calculation formula of the human body fat percentage of the ith test user is as follows:
in the formula, FiPerson who is the ith test userThe ratio of the body fat to the fat,
for testing user impedance information, K, collected at a frequency of alphaαIs ZαCorresponding calculation parameters;
F＝KxZx+Kx+zZx+z+Kx+z+zZx+z+z+…KαZα+…+Ky-zZy-z+KyZy
wherein F is the human body fat rate of the target user, ZαThe impedance information of the target user is acquired when the frequency is alpha.
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