CN114916914A - Wearable device with automatic wearing detection function and implementation method - Google Patents
Wearable device with automatic wearing detection function and implementation method Download PDFInfo
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- CN114916914A CN114916914A CN202210525406.6A CN202210525406A CN114916914A CN 114916914 A CN114916914 A CN 114916914A CN 202210525406 A CN202210525406 A CN 202210525406A CN 114916914 A CN114916914 A CN 114916914A
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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
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
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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
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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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
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
Abstract
The invention provides a wearable device with automatic wearing detection and an implementation method. The wearable device is automatically worn and detected, and whether the user wears the wearable device or not is judged by comparing the internal temperature and the external temperature of the device. In terms of the method, the invention also determines whether the user wears the wearable device or not through the comparison of the internal and external temperature differences. The temperature sensor is far higher than an infrared sensor in sensitivity and accuracy, and is more accurate in wearing and monitoring. The temperature sensor has low power consumption, can realize real-time wearing monitoring in the whole work, has small volume, is easy to integrate into the wearable equipment, and realizes convenient and reliable wearing monitoring. The wearable device is more suitable for wide application of wearing and monitoring of the wearable device, is less influenced by light intensity and skin color, and is more suitable for more extensive scenes and personnel.
Description
Technical Field
The invention relates to the technical field of intelligent wearing, in particular to wearable equipment with automatic wearing detection and an implementation method.
Background
Currently, wearable devices — refer to a portable device that can be worn directly on the body, or integrated into the clothing or accessories of the user. Wearable devices mostly exist in the form of portable accessories having a part of computing functions and being capable of being connected with mobile phones and various terminals, and the mainstream product forms include watch types (including products such as watches and wristbands) taking wrists as supports, shoes types (including shoes, socks or other future leg wearing products) taking feet as supports, Glass types (including glasses, helmets, head bands and the like) taking heads as supports, and various non-mainstream product forms such as smart clothes, schoolbag, crutch, accessories and the like. Along with the popularization of intellectualization and portability of wearable equipment, the wearable equipment is widely applied as a personnel data acquisition terminal in different industries, and more intelligent solutions for personnel management, health monitoring, intelligent interaction and other application scenes are realized.
Step-counting wearable device mainly utilizes acceleration sensor to realize motion step-counting, through this acceleration sensor, can measure the acceleration of bracelet in a plurality of not equidirectional. By calculating the value of the acceleration, the number of steps taken can be roughly measured. Aiming at the wearing position of the human body wearing standard, the motion form and the motion step number of the person can be accurately measured by combining the algorithm generated by the big data model. Wearing equipment such as heart rate chest wear, armband or bracelet mainly utilizes optical heart rate sensor to realize detecting human heart rate pulse change, and it adopts electro-optical solvent pulse wave mapping (PPG) to measure heart rate and other biometric index. The light of the capacitor lamp passing through the optical heart rate sensor is emitted to the skin, the light reflected back through the skin tissue is received by the photosensitive sensor and converted into an electric signal, the electric signal is converted into a digital signal, and the heart rate is calculated according to the absorbance of blood. The simplified measurement process is as follows: the emitted light, converted into electrical signals, is converted into digital signals. In a part where the human skin is thin and easy to wear, the emitted light of the optical heart rate sensor more easily penetrates the skin and captures refracted light, thereby improving the accuracy of heart rate measurement. During measurement, the optical heart rate sensor needs to be fixed close to the skin, so that the wrist wearing is more suitable for strenuous exercise.
Whether wear wearing equipment to the human body, all kinds of wearing equipment all are that built-in different type sensor realizes, mainly have two kinds of forms: firstly, whether the wearer wears the glasses or not is judged after data are obtained through sensor detection under fixed frequency or specific conditions; the other method is to obtain data through the whole-course monitoring of the sensor to judge whether the wearing is carried out in real time.
However, the prior art has the following disadvantages:
the optical heart rate sensor is high in power consumption, and the charging frequency of the wearable device can be increased by continuous monitoring;
when the optical heart rate sensor is shielded by a non-skin object, the wearing detection is inaccurate;
the accuracy of wearing monitoring of the optical heart rate sensor is influenced by skin color, sweat and strong light;
when the optical heart rate sensor is matched with the acceleration sensor, the wearing monitoring accuracy is not enough;
the optical heart rate sensor is matched with the infrared optical sensor, so that the wearing monitoring accuracy is high, the realization difficulty is high, and the hardware cost is high.
Disclosure of Invention
The invention provides a wearable device with automatic wearing detection and an implementation method, which are used for solving the technical problem.
A wearable device with automatic wear detection, comprising:
a wearable device housing;
the built-in temperature sensor is arranged inside the wearable device shell and used for acquiring the internal temperature;
the external temperature sensor is arranged outside the wearable device shell and used for acquiring external temperature;
the optical heart rate sensor is arranged outside the wearable device shell and used for acquiring heart rate temperature;
the computing assembly is connected with the built-in temperature sensor, the external temperature sensor and the connecting optical heart rate sensor, is used for carrying out wearing detection through internal and external temperature comparison, judging whether the wearable equipment is worn or not, and judging whether the wearable equipment is worn or not based on a heart rate detection result;
a communication unit: the temperature sensor is arranged in the wearable device shell and used for controlling data transmission and external communication of the built-in temperature sensor, the external temperature sensor and the computing assembly.
Preferably, the wearable device shell further comprises:
the memory is connected with the computing component and stores the detection data and the computing data of the client wearing equipment;
the input and output assembly comprises a display screen unit and an audio input and output unit, and the display screen unit and the audio input and output unit are connected with the computing assembly; wherein, the first and the second end of the pipe are connected with each other,
the display screen unit is used for displaying body detection information of the sensing assembly and temperature data of the built-in temperature sensor and the external temperature sensor;
the sensing assembly is connected with the computing assembly and used for monitoring the body of the user through various sensing devices and acquiring dynamic data of the body of the user; wherein the content of the first and second substances,
the plurality of sensing devices includes at least: a gravity acceleration sensor, an optical heart rate sensor, an electrode type heart rate sensor, a blood oxygen sensor and an infrared sensor.
Preferably, the wearable device shell is a sealed waterproof shell, and the shell material of the sealed waterproof shell is a nonmetal material with poor heat conductivity.
Preferably, the wearable device shell is also provided with a device wearing fixing accessory; wherein, the first and the second end of the pipe are connected with each other,
the device-worn securement accessory includes, but is not limited to: wrist strap, arm strap, chest strap, head strap, foot ring.
Preferably, the communication unit includes:
the FPGA module is used for receiving the sensing data, sending the sensing data of the sensing equipment to the microprocessor, performing digital-to-analog conversion according to the time sequence of the sensing data and then sending the sensing data to the computing component;
the microprocessor is used for sensing data, analyzing and processing the data so as to display and broadcast the data by the display screen unit and the audio input and output unit, and sending the data to the network communication module;
the network communication module is used for receiving the sensing data sent by the microprocessor and sending the sensing data to the target network server; wherein the content of the first and second substances,
the network communication module further comprises an external wireless communication device; wherein the content of the first and second substances,
the external wireless communication unit includes: WIFI devices, bluetooth devices, ZIGBEE devices, and GPRS communication devices not limited to 2.4G HZ frequencies;
the wireless communication unit complies with, but is not limited to: a WIFI protocol, a Bluetooth protocol, a ZIGBEE protocol, a GPRS protocol, a 3G protocol, a 4G protocol, a 5G protocol, an LORA protocol and an NBIOT protocol of a 2.4G HZ frequency;
the clock circuit is used for providing an operation clock for the microprocessor;
a memory for storing data received and processed by the microprocessor;
and the interface circuit is used for realizing data interaction with the peripheral equipment.
Preferably, the calculation component is further used for calibrating the sensing data, and comprises the following steps:
establishing a first change relation curve based on time sequence transformation according to internal temperature data of a built-in temperature sensor;
performing time sequence correspondence according to the first change relation curve and the sensing data of the sensing assembly to generate a first sensing curve of the sensing data;
establishing a second variation relation curve based on time sequence transformation according to the internal temperature data of the external temperature sensor;
carrying out tiny line segmentation processing on the first change relation curve and the second change relation curve, obtaining catastrophe points in the relation curves, and setting constraint conditions according to geometrical characteristics of different temperature data;
carrying out mutation point comparison through the constraint conditions to determine mutation time points;
detecting different sensing data according to the mutation time points, and judging whether mutation exists or not;
when the mutation exists, correcting the sensing data;
and when the mutation does not exist, the sensing data is credibly marked.
An implementation method of an automatic wear detection wearable device, the method comprising:
acquiring first temperature information of the human body according to the built-in temperature sensor;
acquiring second temperature information of the human body according to the external sensor;
comparing the first temperature information with the second temperature information to generate a first wearing judgment result; wherein, the first and the second end of the pipe are connected with each other,
the first comparison result comprises: when the second temperature information is larger than the first temperature information, the wearable equipment is represented to be worn, and when the second temperature information is smaller than the first temperature information, the wearable equipment is represented to be not worn;
acquiring heart rate data according to the heart rate sensor, and generating a second wearing judgment result according to the heart rate data; wherein the content of the first and second substances,
the second wearing judgment result is as follows: when heart rate data is present, it indicates that the wearable device is worn, and when heart rate data is not present, it indicates that the wearable device is not worn.
Preferably, the method further comprises:
generating a first temperature curve according to the first temperature information;
generating a second temperature curve according to the second temperature information;
fitting the discrete temperature data of the first temperature curve and the second temperature curve to obtain a fitted temperature curve;
marking discrete temperature data with the distance from the corresponding fitting temperature curve being larger than a set threshold value;
and determining the error temperature data detected by the wearable equipment at different moments according to the marks.
Preferably, the method further comprises:
collecting an optical heart rate signal through an optical heart rate sensor;
filtering the optical heart rate signal;
selecting a signal segment with a preset length from the optical heart rate signal, and performing self-learning of a template from the signal segment by using an affinity propagation clustering algorithm to obtain an optical heart rate signal template;
and continuously sliding the optical heart rate signal to the right on the optical heart rate signal template, searching the highest point of each heartbeat of the optical heart rate signal according to the correlation, and calculating the heart rate.
Preferably, the method further comprises:
after being powered on, the computing assembly is connected with different sensing devices through the communication unit, the computing assembly is configured into a sensing node by the upper computer, and various communication services are initialized;
establishing a timer task to regularly acquire sensing data and storing the sensing data in a storage module;
after receiving the sensing data, establishing a vital sign model of the user;
and detecting the life state of the user through the vital sign model, and outputting the life state information in real time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a structure of a wearable device with automatic wear detection in an embodiment of the present invention;
fig. 2 is a flowchart of a wearable device detection method for automatic wear detection in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
In the prior art: at present, wearable equipment is mainly used for determining whether a human body is worn or not according to the detection of a heart rate value; wearing equipment detects human rhythm of the heart and has mainly adopted optical heart rate sensor to realize, when optical heart rate sensor can not detect the rhythm of the heart data, then judge that equipment does not correctly wear on the human body. The principle is as follows: the light emitted by the optical heart rate sensor is emitted to skin tissues, the light reflected back through the skin tissues is received by the photosensitive sensor and converted into an electric signal, and the heart rate value can be obtained after data processing. If wearing equipment does not wear on the human body, optics heart rate sensor just is not sheltered from, and after optics heart rate sensor emitted light, photosensitive sensor just can not accept the reverberation, so can not measure heart rate numerical value, and wearing equipment then judges not to wear.
Since the optical heart rate sensor is a high power consumption component for wearable devices, the optical heart rate sensor cannot work continuously to monitor whether a user wears for the sake of endurance of the wearable device. The common scheme is that an optical heart rate sensor is started to detect whether a heart rate value exists or not according to a fixed time period frequency to judge whether the wearing is needed or not. Or the optical heart rate sensor is driven to work by matching with the acceleration sensor, when the acceleration sensor monitors that the equipment has specific actions, the optical heart rate sensor is started to work, and the equipment is judged not to be worn if no heart rate value is detected. Obviously, the two schemes cannot continuously monitor whether the heart rate exists or not in real time to judge whether the heart rate exists or not, and the best scheme at present is to embed an infrared optical sensor in an optical heart rate sensor to cooperate with monitoring to realize wearing judgment. The principle is as follows: the work power consumption of the infrared optical sensor is far lower than that of the optical heart rate sensor, so that the infrared optical sensor can continuously work in wearing equipment. The infrared optical sensor is sensitive to detecting objects with temperature and diffusible infrared light, when the infrared optical sensor detects an object close to the diffusible infrared light, the optical heart rate sensor is driven to detect the heart rate, the infrared optical sensor is judged to be normally worn when the heart rate is detected, and the infrared optical sensor stops working at the moment; if the heart rate is not detected, the wearing is judged, the infrared optical sensor is started to work to continue to detect, and the wearing of the wearable device can be monitored repeatedly in real time.
As shown in fig. 1, a wearable device with automatic wear detection includes:
a wearable device housing;
the built-in temperature sensor is arranged inside the wearable device shell and used for acquiring the internal temperature;
the external temperature sensor is arranged outside the wearable device shell and used for acquiring external temperature;
the optical heart rate sensor is arranged outside the wearable device shell and used for acquiring heart rate temperature;
the computing assembly is connected with the built-in temperature sensor, the external temperature sensor and the connecting optical heart rate sensor, is used for carrying out wearing detection through internal and external temperature comparison, judging whether the wearable equipment is worn or not, and judging whether the wearable equipment is worn or not based on a heart rate detection result;
a communication unit: the temperature sensor is arranged in the wearable device shell and used for controlling data transmission and external communication of the built-in temperature sensor, the external temperature sensor and the computing assembly.
In the above technical scheme: the wearable device for intelligent wearable detection is realized by comparing the internal temperature and the external temperature. In the prior art, when the wearable device is used as a personnel identity identification and sign data acquisition terminal, the wearable device needs to be correctly worn on a human body to obtain accurate data. Step counting data can be monitored when the step counting bracelet is not worn on the wrist, heart rate data can be measured when the heart rate arm band or the bracelet is not worn on the human body, and particularly in an application scene of large-scale intelligent personnel management in various industries, the fact that whether personnel wear equipment correctly or not is judged, whether the personnel break away from supervision or not is judged, and the fact that authenticity, reliability and accuracy of various data acquisition are improved is judged. The wearing detection is carried out through two modes of comparing the internal temperature and the external temperature and detecting the heart rate, and whether the user wears the equipment normally is judged. The wearable device is worn and monitored by the low-cost and low-power consumption temperature sensor, the wearing monitoring of the wearable device can be realized without being influenced by strong light and skin color factors, the judgment deviation can exist under the high temperature condition, and the temperature sensor and the heart rate sensor are matched for monitoring under the high temperature environment to realize the wearing monitoring. Optical heart rate sensors are one of the most popular sensors for heart rate detection in smart wearable devices. It uses electro-optical solvent pulse wave graphy (PPG) to measure heart rate and other biometric indicators. The measurement principle is as follows: the light emitted to the skin by the capacitance lamp is received by the photosensitive sensor and converted into an electric signal, and then the electric signal is converted into a digital signal, and the heart rate is calculated according to the light absorption rate of the blood. The simplified measurement process is as follows: the emitted light, converted into electrical signals, is converted into digital signals.
Preferably, as shown in fig. 1, the wearable device housing further includes:
the memory is connected with the computing component and stores the detection data and the computing data of the client wearing equipment;
the input and output assembly comprises a display screen unit and an audio input and output unit, and the display screen unit and the audio input and output unit are connected with the computing assembly; wherein the content of the first and second substances,
the display screen unit is used for displaying body detection information of the sensing assembly and temperature data of the built-in temperature sensor and the external temperature sensor;
the sensing assembly is connected with the computing assembly and used for monitoring the body of the user through various sensing devices and acquiring dynamic data of the body of the user; wherein the content of the first and second substances,
the plurality of sensing devices includes at least: a gravity acceleration sensor, an optical heart rate sensor, an electrode type heart rate sensor, a blood oxygen sensor and an infrared sensor.
Besides wearing detection, the wearable monitoring system is mainly used for acquiring sensing data of the body of the user, and in the process, the body of the user is monitored in real time through the sensing assembly. And the display of different data is realized through the input and output assembly, and the voice control of a user is accepted.
Preferably, the wearable device shell is a sealed waterproof shell, and the shell material of the sealed waterproof shell is a nonmetal material with poor heat conductivity.
The invention also needs to be provided with a sealed waterproof shell because the invention needs to adapt to different environments, and the adoption of the non-metallic material with poor heat conductivity is because the deviation of the internal temperature and the external temperature is accurately determined in order to ensure the accuracy of temperature monitoring.
Preferably, the wearable device shell is further provided with a device wearing fixing accessory; wherein, the first and the second end of the pipe are connected with each other,
the device-worn securement accessory includes, but is not limited to: wrist strap, arm strap, chest strap, head strap, foot ring.
Preferably, the communication unit includes:
the FPGA module is used for receiving the sensing data, sending the sensing data of the sensing equipment to the microprocessor, performing digital-to-analog conversion according to the time sequence of the sensing data and then sending the sensing data to the computing component;
the microprocessor is used for sensing data, analyzing and processing the data so as to display and broadcast the data by the display screen unit and the audio input and output unit, and sending the data to the network communication module;
the network communication module is used for receiving the sensing data sent by the microprocessor and sending the sensing data to the target network server; wherein the content of the first and second substances,
the network communication module further comprises an external wireless communication device; wherein the content of the first and second substances,
the external wireless communication unit includes: WIFI devices, bluetooth devices, ZIGBEE devices, and GPRS communication devices not limited to 2.4G HZ frequencies;
the wireless communication unit complies with, but is not limited to: a WIFI protocol, a Bluetooth protocol, a ZIGBEE protocol, a GPRS protocol, a 3G protocol, a 4G protocol, a 5G protocol, an LORA protocol and an NBIOT protocol of a 2.4G HZ frequency;
the clock circuit is used for providing an operation clock for the microprocessor;
a memory for storing data received and processed by the microprocessor;
and the interface circuit is used for realizing data interaction with the peripheral equipment.
In the technical scheme, the sensing data is processed and forwarded through the FPGA module when the communication is carried out, the microprocessor analyzes the data into the audio data and the display data, and the network communication module realizes data transmission through various wireless communication devices and various wireless communication protocols.
Preferably, the calculation component is further configured to calibrate the sensing data, and includes the following steps:
establishing a first change relation curve based on time sequence transformation according to internal temperature data of a built-in temperature sensor;
performing time sequence correspondence according to the first change relation curve and the sensing data of the sensing assembly to generate a first sensing curve of the sensing data;
establishing a second change relation curve based on time sequence transformation according to the internal temperature data of the external temperature sensor;
carrying out tiny linear segmentation processing on the first change relation curve and the second change relation curve, obtaining a catastrophe point in the relation curves, and setting constraint conditions according to the geometric characteristics of different temperature data;
carrying out mutation point comparison through the constraint conditions to determine mutation time points;
detecting different sensing data according to the mutation time points, and judging whether mutation exists or not;
when the mutation exists, correcting the sensing data;
and when the mutation does not exist, the sensing data is credibly marked.
The method also comprises the steps of establishing different data sensing curves, judging temperature change through the different data sensing curves, judging errors of temperature data through mutation time points of time periods when the temperature changes, for example, when the wearable device is taken down or lost, and correcting and marking the sensing data through errors of the temperature data.
An implementation method of an automatic wear detection wearable device, the method comprising:
acquiring first temperature information of the human body according to the built-in temperature sensor;
acquiring second temperature information of the human body according to the external sensor;
comparing the first temperature information with the second temperature information to generate a first wearing judgment result; wherein the content of the first and second substances,
the first comparison result comprises: when the second temperature information is larger than the first temperature information, the wearable equipment is shown to be worn, and when the second temperature information is smaller than the first temperature information, the wearable equipment is shown not to be worn;
acquiring heart rate data according to the heart rate sensor, and generating a second wearing judgment result according to the heart rate data; wherein the content of the first and second substances,
the second wearing judgment result is as follows: when heart rate data is present, it indicates that the wearable device is worn, and when heart rate data is not present, it indicates that the wearable device is not worn.
The method adopted by the invention also comprises the steps of temperature comparison and heart rate monitoring.
Preferably, the method further comprises:
generating a first temperature curve according to the first temperature information;
generating a second temperature curve according to the second temperature information;
fitting the discrete temperature data of the first temperature curve and the second temperature curve to obtain a fitted temperature curve;
marking discrete temperature data with the distance from the corresponding fitting temperature curve being greater than a set threshold;
and determining temperature data detected by the wearable equipment at different moments according to the marks, and judging whether the wearable equipment is not worn or not according to the temperature difference. As shown in figure 2, in the daily human body activity environment, the suitable temperature is-10 ℃ to-30 ℃, and the surface temperature of the human skin is + 33.5 ℃ to + 37 ℃. The temperature sensor is a simple electronic component with low power consumption, low cost, continuous and reliable work, is very sensitive to temperature change detection of the environment, and has the accuracy within +/-0.1 ℃.
When the wearable device temperature sensor 2 is not in contact with the skin of a human body, the temperature value monitored by the built-in temperature sensor 1 is an external environment temperature value of the shell conducted by the shell, and the built-in temperature sensor is positioned in a narrow and closed space of the shell, electronic components in the shell generate heat when working, so that the temperature value monitored by the built-in temperature sensor 1 is actually greater than the external environment air temperature value of the shell by about 0.3-0.5 ℃; when the external temperature sensor 2 is not worn, the external temperature sensor is exposed in the ambient air outside the shell, the heat dissipation condition is good, and the monitored temperature value is the actual ambient air temperature value outside the shell. At the moment, the temperature of the temperature sensor 1 is greater than the temperature value of the temperature sensor 2, and the wearable device judges that the device is not worn on a human body after monitoring.
When the temperature sensor 2 is kept in contact with the skin of a human body, the temperature value of the temperature sensor 2 is rapidly changed to be consistent with the skin temperature value after the temperature sensor 2 is in contact with the skin, the close contact between the temperature sensor 2 and the skin enables the heat dissipation condition of the temperature sensor 2 to be poor, and the temperature value of the temperature sensor 2 is larger than the actual external environment air temperature value by 0.3-0.5 ℃. When the skin temperature of the human body is at the lowest 33 ℃, the monitoring value of the temperature sensor 2 is between 33.3 ℃ and 33.5 ℃; when the actual environment air temperature value is 30 ℃ at most, the detection value of the temperature sensor 1 is 30.3-30.5 ℃; at the moment, the monitoring temperature value of the temperature sensor 2 is far greater than that of the temperature sensor 1, and the wearable device is judged to be in a human body wearing state after monitoring.
In summary, when the monitored temperature value of the temperature sensor 1 is greater than the monitored temperature value of the temperature sensor 2, the wearable device determines the non-worn state; when the monitoring temperature value of the temperature sensor 1 is smaller than the monitoring temperature value of the temperature sensor 2, the wearable device judges that the human body is in a worn state.
Preferably, the method further comprises:
collecting an optical heart rate signal through an optical heart rate sensor;
filtering the optical heart rate signal;
selecting a signal segment with a preset length from the optical heart rate signal, and performing self-learning of a template from the signal segment by using an affinity propagation clustering algorithm to obtain an optical heart rate signal template;
and continuously sliding the optical heart rate signal to the right on the optical heart rate signal template, searching the highest point of each heartbeat of the optical heart rate signal according to the correlation, and calculating the heart rate.
In the monitoring process, the method also comprises the steps of determining the highest points of the heart rate at different moments by adopting the optical heart rate signals, and judging whether the wearable equipment is worn or not according to the highest points of the heart rate signals.
Preferably, the method further comprises:
after being powered on, the computing assembly is connected with different sensing devices through the communication unit, the computing assembly is configured into a sensing node by the upper computer, and various communication services are initialized;
establishing a timer task to regularly acquire sensing data and storing the sensing data in a storage module;
after receiving the sensing data, establishing a vital sign model of the user;
and detecting the life state of the user through the vital sign model, and outputting the life state information in real time.
The main purpose of the invention is to realize the detection of the vital state through the wearable device, and in the detection process, the vital sign detection model is established and the vital state information is recorded constantly through the detection model.
In an optional embodiment of the present invention, the internal temperature sensor and the external temperature sensor further include the following detection steps: comparing the temperature data of the built-in temperature sensor with the temperature data of the external temperature sensor in a certain time sequence to generate a comparison graph; the comparison graph is in the form of a broken line graph, and two lines in the graph respectively represent an internal temperature sensor and an external temperature sensor;
step 1: for edge detection of image data at each moment, firstly, comparison calculation needs to be performed on an image at each moment:
wherein G is 0 Indicates a contrast value, G (dir (x)) between the internal temperature sensor and the external temperature sensor N ,y N ) Denotes dir (x) N ,y N ) A gradient function of (a); dir (x) N ,y N ) A function, G (dir (x)), representing the time coordinate of the built-in temperature sensor W ,y W ) Represents dir (x) w ,y w ) A gradient function of (a); dir (x) w ,y w ) Representing a function corresponding to each time coordinate of the external temperature sensor; w represents an external temperature sensor; n represents a built-in temperature sensor;
the formula mainly aims at obtaining a contrast value of the internal temperature sensor and the external temperature sensor at each moment, wherein the contrast value is a certain gradient, and the gradient is a gradient of temperature change and is used for showing a temperature difference coefficient of internal and external temperatures judged by the contrast value; the calculation is also performed to make the temperature contrast difference in the different peak interval periods clearer in step 2.
Step 2: calculating fuzzy parameters of the built-in temperature sensor and the external temperature sensor in different peak time periods:
wherein, B T (x N ,y N ) The mean function of the built-in temperature sensor in different peak interval time periods is represented, and T different peak interval time periods are represented; b is T (x W ,y W ) Representing the mean function of the external temperature sensor in different peak interval time periods; f 1 Fuzzy parameters representing the average temperature difference between every two wave crests of the built-in temperature sensor and the external temperature sensor, wherein a and b respectively represent numerical values of the abscissa and the ordinate of the built-in temperature sensor and the external temperature sensor at each corresponding moment;
the main purpose of the above formula is to calculate the fuzzy function of the average value in different peak interval time periods, because there is a certain temperature deviation in this temperature, between different peak time periods, if the peak temperature difference between the inside and the outside of the user is not very large, this fuzzy parameter also becomes very large, because it can be determined more clearly whether the wearable device is worn or not as long as different peak time periods are brought in.
And step 3: weighting the temperature difference data of the built-in temperature sensor and the external temperature to obtain weighted fuzzy parameters:
wherein the content of the first and second substances,
the fuzzy parameter is obtained after weighting processing is carried out on the temperature difference data of the built-in temperature sensor and the external temperature, and the formula mainly aims to enable the temperature difference of the built-in temperature sensor and the external temperature sensor in different coordinate ranges to be more obvious through weighting calculation, so that a wearing detection mechanism is easier to trigger, and whether the wearable equipment is worn or not is easier to find.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A wearable device with automatic wear detection, comprising:
a wearable device housing;
the built-in temperature sensor is arranged inside the wearable device shell and used for acquiring the internal temperature;
the external temperature sensor is arranged outside the wearable device shell and used for acquiring external temperature;
the optical heart rate sensor is arranged outside the wearable device shell and used for acquiring heart rate temperature;
the computing component is connected with the built-in temperature sensor, the external temperature sensor and the connecting optical heart rate sensor, is used for carrying out wearing detection through comparison of internal and external temperatures, judging whether the wearing equipment is worn or not, and judging whether the wearing equipment is worn or not based on a heart rate detection result;
a communication unit: the temperature sensor is arranged in the wearable device shell and used for controlling data transmission and external communication of the built-in temperature sensor, the external temperature sensor and the computing assembly.
2. The wearable device with automatic wear detection of claim 1, further comprising within the wearable device housing:
the memory is connected with the computing component and stores the detection data and the computing data of the client wearing equipment;
the input and output assembly comprises a display screen unit and an audio input and output unit, and the display screen unit and the audio input and output unit are connected with the computing assembly; wherein, the first and the second end of the pipe are connected with each other,
the display screen unit is used for displaying body detection information of the sensing assembly and temperature data of the built-in temperature sensor and the external temperature sensor;
the sensing component is connected with the computing component and used for monitoring the body of the user through various sensing devices and acquiring dynamic data of the body of the user; wherein, the first and the second end of the pipe are connected with each other,
the plurality of sensing devices includes at least: a gravity acceleration sensor, an optical heart rate sensor, an electrode type heart rate sensor, a blood oxygen sensor and an infrared sensor.
3. The wearable device with automatic wear detection of claim 1, wherein the wearable device housing is a waterproof sealing housing, and the housing material of the waterproof sealing housing is a non-metallic material with poor thermal conductivity.
4. The wearable device with automatic wear detection and the implementation method of claim 1, wherein the wearable device shell is further provided with a device wearing fixing accessory; wherein the content of the first and second substances,
the device-worn securement accessory includes, but is not limited to: wrist strap, arm strap, chest strap, head strap, and foot ring.
5. A wearable device with automatic wear detection as claimed in claim 1, wherein the communication unit comprises:
the FPGA module is used for receiving the sensing data, sending the sensing data of the sensing equipment to the microprocessor, performing digital-to-analog conversion according to the time sequence of the sensing data and then sending the sensing data to the computing component;
the microprocessor is used for sensing data, analyzing and processing the data so as to display and broadcast the data by the display screen unit and the audio input and output unit, and sending the data to the network communication module;
the network communication module is used for receiving the sensing data sent by the microprocessor and sending the sensing data to the target network server; wherein the content of the first and second substances,
the network communication module further comprises an external wireless communication device; wherein the content of the first and second substances,
the external wireless communication unit includes: WIFI devices, bluetooth devices, ZIGBEE devices, and GPRS communication devices not limited to 2.4G HZ frequencies;
the wireless communication unit complies with, but is not limited to: a WIFI protocol, a Bluetooth protocol, a ZIGBEE protocol, a GPRS protocol, a 3G protocol, a 4G protocol, a 5G protocol, a LORA protocol and an NBIOT protocol of 2.4G HZ frequency;
the clock circuit is used for providing an operation clock for the microprocessor;
a memory for storing data received and processed by the microprocessor;
and the interface circuit is used for realizing data interaction with the peripheral equipment.
6. A wearable device with automatic wear detection according to claim 2, wherein the computing component is further configured to calibrate the sensory data, comprising the steps of:
establishing a first change relation curve based on time sequence transformation according to internal temperature data of a built-in temperature sensor;
performing time sequence correspondence according to the first variation relation curve and the sensing data of the sensing assembly to generate a first sensing curve of the sensing data;
establishing a second change relation curve based on time sequence transformation according to the internal temperature data of the external temperature sensor;
carrying out tiny linear segmentation processing on the first change relation curve and the second change relation curve, obtaining a catastrophe point in the relation curves, and setting constraint conditions according to the geometric characteristics of different temperature data;
carrying out mutation point comparison through the constraint conditions to determine mutation time points;
detecting different sensing data according to the mutation time points, and judging whether mutation exists or not;
when the mutation exists, correcting the sensing data;
and when the mutation does not exist, the sensing data is credibly marked.
7. An implementation method of a wearable device with automatic wear detection is applicable to the wearable device with automatic wear detection in claims 1-6, and the method includes:
acquiring first temperature information of the human body according to the built-in temperature sensor;
acquiring second temperature information of the human body according to the external sensor;
comparing the first temperature information with the second temperature information to generate a first wearing judgment result; wherein the content of the first and second substances,
the first comparison result comprises: when the second temperature information is larger than the first temperature information, the wearable equipment is represented to be worn, and when the second temperature information is smaller than the first temperature information, the wearable equipment is represented to be not worn;
acquiring heart rate data according to the heart rate sensor, and generating a second wearing judgment result according to the heart rate data; wherein the content of the first and second substances,
the second wearing judgment result is as follows: when heart rate data is present, it indicates that the wearable device is worn, and when heart rate data is not present, it indicates that the wearable device is not worn.
8. The method of claim 7, wherein the method further comprises:
generating a first temperature curve according to the first temperature information;
generating a second temperature curve according to the second temperature information;
fitting the discrete temperature data of the first temperature curve and the second temperature curve to obtain a fitted temperature curve;
marking discrete temperature data with the distance from the corresponding fitting temperature curve being greater than a set threshold;
and determining the error temperature data detected by the wearable equipment at different moments according to the marks.
9. The method of claim 7, wherein the method further comprises:
collecting an optical heart rate signal through an optical heart rate sensor;
filtering the optical heart rate signal;
selecting a signal segment with a preset length from the optical heart rate signal, and performing self-learning of a template from the signal segment by using an affinity propagation clustering algorithm to obtain an optical heart rate signal template;
and continuously sliding the optical heart rate signal to the right on the optical heart rate signal template, searching the highest point of each heartbeat of the optical heart rate signal according to the correlation, and calculating the heart rate.
10. The method of claim 7, wherein the method further comprises:
after being powered on, the computing assembly is connected with different sensing devices through the communication unit, the computing assembly is configured into a sensing node by the upper computer, and various communication services are initialized;
establishing a timer task to regularly acquire sensing data and storing the sensing data in a storage module;
after receiving the sensing data, establishing a vital sign model of the user;
and detecting the life state of the user through the vital sign model, and outputting the life state information in real time.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116570251A (en) * | 2023-07-14 | 2023-08-11 | 北京中科心研科技有限公司 | Wearing equipment wearing judging method and device based on PPG (program G) signals |
| CN116584897A (en) * | 2023-05-19 | 2023-08-15 | 深圳市鑫坪实业有限公司 | Portable health real-time alarm and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116584897A (en) * | 2023-05-19 | 2023-08-15 | 深圳市鑫坪实业有限公司 | Portable health real-time alarm and system |
| CN116570251A (en) * | 2023-07-14 | 2023-08-11 | 北京中科心研科技有限公司 | Wearing equipment wearing judging method and device based on PPG (program G) signals |
| CN116570251B (en) * | 2023-07-14 | 2023-10-03 | 北京中科心研科技有限公司 | Wearing equipment wearing judging method and device based on PPG (program G) signals |
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