CN213129440U - Wearable device - Google Patents

Wearable device Download PDF

Info

Publication number
CN213129440U
CN213129440U CN202020732556.0U CN202020732556U CN213129440U CN 213129440 U CN213129440 U CN 213129440U CN 202020732556 U CN202020732556 U CN 202020732556U CN 213129440 U CN213129440 U CN 213129440U
Authority
CN
China
Prior art keywords
sign
module
user
wearable device
target user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN202020732556.0U
Other languages
Chinese (zh)
Inventor
曹叶丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202020732556.0U priority Critical patent/CN213129440U/en
Application granted granted Critical
Publication of CN213129440U publication Critical patent/CN213129440U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The embodiment of the application provides a wearable device, and this wearable device is the loop configuration, is provided with on it: the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user; the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the processing module is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the processing module is further configured to perform operation based on at least two of the characterization values to obtain a sign state evaluation value of the target user; the display module is used for displaying the vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign. The problem that the user cannot visually know the physical sign state of the user due to the fact that the user basic data are simply fed back by the current wearable intelligent device is solved.

Description

Wearable device
Technical Field
The application relates to the technical field of electronic equipment, in particular to wearable equipment.
Background
Currently, more and more wearable devices, such as smart bands and the like, are appearing in the market. These wearable devices may record and display data of the user's exercise, sleep, diet, etc. Most wearable devices simply feed received information directly back to the user. For example, the wearable device simply feeds back the information of the number of steps taken by the user on the current day, sleep information and the like, and the data are relatively independent. The user cannot intuitively know the current health condition of the user after acquiring the information.
SUMMERY OF THE UTILITY MODEL
The embodiment of the application provides wearable equipment to solve the problem that a user cannot intuitively know the current health condition of the user.
An embodiment of the present application provides a wearable device, including: the wearable equipment is of a ring structure; this ring body is provided with structurally: the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user; the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the sign parameters are used for representing the state of the sign of the target user in the specified dimension; the processing module is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension; the processing module is further configured to perform operation based on at least two of the characterization values to obtain a sign state evaluation value of the target user; the display module is arranged on the outer side of the ring body structure and used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign.
In one embodiment, the specified dimensions include: heart rate, body temperature, exercise, sleep.
In one embodiment of the method of the present invention,the processing module obtains a sign state evaluation value of the target user according to the following function;
Figure BDA0002480445020000011
wherein, A is the evaluation value of the sign state, ai is the representation value of the specified dimension, and fi is the weight of the specified dimension;
Figure BDA0002480445020000012
in one embodiment, the wearable device further comprises a data receiving module, wherein the data receiving module is used for receiving the user data information sent by the server; the user data information includes at least one of: the age, sex, weight and height of the user; the user data information is used for correcting the preset threshold value on the designated dimension.
In one embodiment, the data receiving module is further configured to receive environment data information sent by a server; the environment data information includes at least one of: ambient temperature, ambient humidity, air pollutant index; the environmental data information is used for correcting the preset threshold value on the designated dimension.
In one embodiment, the wearable device is externally coated with a waterproof protective layer.
In one embodiment, the wearable device further comprises: the fingerprint module is used for acquiring the fingerprint characteristic information of the user; unlocking the wearable device when the user fingerprint feature information is matched with preset fingerprint feature information; the near field communication module is used for carrying out data interaction in a specified close range; a location information module for obtaining location information of the wearable device; and the emergency communication module is used for sending emergency alarm information to the target object.
In one embodiment, the wearable device further comprises: a vibration motor; when the evaluation value of the physical sign state is lower than a preset evaluation value, the processing module sends a notice to the vibration motor, and the vibration motor performs mechanical vibration after receiving the notice.
In one embodiment, the wearable device further comprises a feedback module for receiving feedback information of the target user; the feedback information is used for correcting the physical sign parameters.
An embodiment of the present application further provides a wearable device, including: the wearable equipment is of a ring structure; this ring body is provided with structurally: the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user; the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the sign parameters are used for representing the state of the sign of the target user in the specified dimension; the sending module is used for sending the physical sign parameters to a server; the server is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension; calculating based on at least two characterization values to obtain a sign state evaluation value of the target user; the receiving module is used for receiving the sign state evaluation value display module, and the display module is arranged on the outer side of the ring body structure and used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign.
In the embodiment of the application, the wearable device acquires a target user sign signal through the sensor; obtaining at least two sign parameters with specified dimensionality through the preprocessing module; processing the sign parameters through the processing module to obtain a characteristic value of the specified dimensionality; calculating based on at least two characterization values to obtain a sign state evaluation value of the target user; and displaying through the display module. The user can intuitively obtain a plurality of sign state evaluation values with specified dimensions, and the physical condition of the user can be judged more easily.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a vital signs detection system of an embodiment of the present description;
description of the drawings: 10. wearable equipment, 20, a body temperature module, 30, a heart rate module, 40, a motion sensing module, 50, a time display module, 60, a sleep module, 70, a fingerprint module, 80, a near field communication module, 90, a battery, 100, a charging port, 110, a position information module, 120, an emergency communication module, 130, a vibration motor, 140, a feedback module, 150 and an external environment detection module;
FIG. 2 is a schematic diagram of a wearable device in accordance with embodiments of the present disclosure;
fig. 3 is a schematic diagram of a wearable device module according to embodiments of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
An embodiment of the present specification provides a wearable device, including: the wearable equipment is of a ring structure; this ring body is provided with structurally: the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user; the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the sign parameters are used for representing the state of the sign of the target user in the specified dimension; the processing module is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension; the processing module is further configured to perform operation based on at least two of the characterization values to obtain a sign state evaluation value of the target user; the display module is arranged on the outer side of the ring body structure and used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign.
In this embodiment, the wearable device may refer to a portable device that may be worn directly on the body, or integrated into the clothing or accessories of the user. Specifically, for example, a smart band, a smart watch, and the like. The wearable device is a ring structure, which may mean that the wearable device is geometrically ring-shaped.
In this embodiment, the wearable device comprises at least two sensors for acquiring the target user sign signal. In particular, the sensor can be a motion sensor, an optical heart rate sensor, a bioelectrical impedance sensor, a galvanic skin response sensor, a temperature sensor, and the like. The motion sensor may include an acceleration sensor, a gyroscope, an electronic compass sensor, and the like. The motion sensor judges whether the equipment moves or not by measuring the direction and the acceleration, thereby achieving the function of step counting. The preprocessing module can match the type of exercise being performed by the target user through the collected data, thereby monitoring the number of walks, calorie consumption, etc. of the user. The optical heart rate sensor may acquire a heart rate signal of the target user. The preprocessing module can calculate heart rate sign parameters of the target user according to the heart rate signals. The bioelectrical impedance sensor can acquire a heart rate signal of the target user, so that the heart rate signal can be used for the preprocessing module to calculate heart rate sign parameters of the target user. The electrodermal response sensor can acquire arousal degree information of a user, and the arousal degree information is used for the preprocessing module to calculate and obtain physical sign parameters of mood of the user, such as mood index. The temperature sensor can be used for acquiring a body temperature signal of the target user, and the preprocessing module can calculate a body temperature sign parameter of the target user according to the body temperature signal.
In this embodiment, the wearable device may further include a sensor to monitor the external environment. Specifically, for example, an atmospheric pressure sensor, an ambient temperature sensor, an ambient humidity sensor, etc., are not described herein.
In this embodiment, the preprocessing module may be configured to process the user sign signal acquired by the sensor, so as to obtain the sign parameter of the target user in the specified dimension. Specifically, for example, the sensor converts the body temperature into a voltage difference that can be recognized by a circuit, and the preprocessing module calculates the body temperature sign parameters of the user according to the voltage difference. For another example, the sensor obtains the heart rate signal of the target user as a group of pulse signals, and the preprocessing module calculates the heart rate sign parameters of the target user according to the group of pulse signals.
In this embodiment, the specified dimension may refer to a heart rate, a body temperature, exercise, sleep, or other dimensions. The sign parameter is used for characterizing the state of the sign of the target user in the specified dimension. Specifically, for example, the specified dimension is heart rate, and the physical parameter of the specified dimension is a heart rate physical parameter, such as 85 times/minute. For another example, the specified dimension is body temperature, and the physical sign parameter of the specified dimension is a body temperature physical sign parameter.
In this embodiment, the processing module is configured to match at least two of the sign parameters with a preset threshold on the designated dimension, respectively, to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension. Specifically, for example, the normal value of the resting heart rate sign parameter is 60 to 100 times/minute. The processor can take 60 times/minute and 100 times/minute as two preset thresholds, match the heart rate sign parameters with a preset heart rate, and when the heart rate sign parameters fall into 60-100 times/minute, the characterization value of the user in the specified dimension is 100; when the number of the particles is less than 60 times/min or 100 times/min, the characterization value is recorded as 50. Of course, one or more preset thresholds can be set between 60 times/minute and 100 times/minute for obtaining the characterization values corresponding to different state levels. For example, when the heart rate sign parameter falls between 60-75 times/minute and 85-100 times/minute, the characteristic value is 90, and the like. The different state levels may correspond to different characterization values. Of course, in the present embodiment, the preset threshold may be modified according to user information, environment information, user feedback, and the like. For example, the smaller the age, the larger the preset threshold value in the heart rate specification dimension may be. As another example, optimization may be performed by a neural network algorithm based on the user feedback data. Similarly, the processor can be matched with the preset threshold value on the designated dimension according to the sign parameters to obtain corresponding characteristic values in the designated dimension of body temperature, the designated dimension of exercise, the designated dimension of sleep and the like. In the present embodiment, the expression form of the token value may be excellent, good, passing, failing, or the like. The representation of the characterization value may also be a specific number, such as 60 points, 70 points, 90 points, etc. And is not particularly limited herein.
In this embodiment, the processing module may further perform an operation based on at least two of the characteristic values to obtain a sign state evaluation value of the target user. Specifically, for example, the processing module obtains the evaluation value of the physical sign state of the target user according to the following function;
Figure BDA0002480445020000051
wherein A is the evaluation value of the sign state, ai is the representation value of the specified dimension, and fi is the weight of the specified dimensionWeighing;
Figure BDA0002480445020000052
of course, the processing module may calculate the evaluation value of the physical sign state of the target user by using an arithmetic mean, a geometric mean, and a harmonic mean. Of course, in the present embodiment, the evaluation value of the physical state of the target user is not limited to be obtained by means of an average, and may be obtained by using another calculation model. And will not be described in detail herein. In the present embodiment, the expression form of the evaluation value of the physical sign state may be excellent, good, passing, failing, or the like. The expression form of the sign state evaluation value may also be a specific number, such as 60 points, 70 points, 90 points, and the like. And is not particularly limited herein.
In this embodiment, the processing module may further use a neural network learning method when obtaining the characteristic value and the sign state evaluation value. The processing module can also correct the calculation method according to the received user data information from the server when obtaining the characterization value and the sign state evaluation value. The user data information may include: user age, user gender, user weight, user height, etc. The processing module can also correct the calculation method according to the received environment data information from the server when obtaining the characterization value and the sign state evaluation value. The environment data information may include: ambient temperature, ambient humidity, air pollutant index, etc.
In this embodiment, the processing module may be implemented in any suitable manner. For example, the processing module may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth. The present application is not limited.
In this embodiment, the wearable device may further include a storage module. The storage module may be a memory in which the user saves information. The Memory includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard Disk Drive (HDD), or a Memory Card (Memory Card). The memory may be used to store computer program instructions.
In this embodiment, the display module may be one or more displays, and the display module may display one or more interfaces. The display module can be used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign. Specifically, for example, the processor calculates that the evaluation value of the physical sign state is 90, and sends the evaluation value to the display module, and the display module displays the evaluation value on the vital sign interface. The display module may also display the sign parameters, the characterization values, and the sign state evaluation values of a plurality of specified dimensions together on the same interface, and the display module may also display the sign parameters and/or the characterization values of the specified dimensions on different interfaces according to the operation of the user. The display module may include a plurality of displays, each corresponding to a respective display function, see fig. 1. The display module may also be a display, please refer to fig. 2, a plurality of display interfaces may be displayed on the display, and the display may switch the display interfaces corresponding to user operations.
In this embodiment, the wearable device may include a network communication unit. The network communication unit may be a virtual unit that is bound to different communication protocols so that different data can be transmitted or received. For example, the network communication unit may be a unit responsible for web data communication, FTP data communication, or mail data communication. Furthermore, the network communication unit may also be a communication interface or a communication chip of an entity. For example, it may be a wireless mobile network communication chip, such as GSM, CDMA, etc.; it can also be a Wifi chip, a bluetooth chip, etc.
Referring to fig. 3, fig. 3 is a schematic diagram of a wearable device module. The wearable device can acquire a target user sign signal through a sensor; then, obtaining sign parameters of at least two specified dimensions through a preprocessing module according to the sign signals of the target user; the processing module can match at least two sign parameters with preset thresholds on the designated dimension respectively to obtain a representation value of the designated dimension. The target user can know the condition of the body in the specified dimension according to the characteristic value in the specified dimension. The processing module can perform operation based on at least two of the characterization values to obtain a sign state evaluation value of the target user; and displaying through the display module. When obtaining the physical sign parameters, the user may not be able to determine whether the physical sign parameters are normal. The present embodiment can obtain the characterization value of the specified dimension, so as to facilitate the user's status in the specified dimension. The present embodiment can also obtain the sign state evaluation value, and can allow the user to intuitively know the overall condition of the body of the user. The system is simple and easy to understand, convenient to carry and capable of monitoring in real time.
Please refer to fig. 1, which is a detailed implementation scenario of the present disclosure.
In this scenario example, the wearable device is a smart bracelet 10. The smart band 10 can interact with a server, and the server can send information to a health and disease control center. The smart band 10 may also interact with a corresponding client, such as a computer or a mobile phone of a user. The server can also perform data interaction with the client.
In this scenario example, the smart band 10 includes a body temperature module 20. The body temperature module 20 can automatically detect the body temperature of the target user at regular time. The time period for detecting the body temperature may be automatically adjusted according to the normal state or change state of the target user, or may be set to detect every hour. The detected data may be sent to a server. When the detected abnormal body temperature times are large in the continuous time period, the emergency communication module 120 may notify the preset emergency contact client, such as a parent mobile phone and a child mobile phone.
In this scenario example, the smart bracelet 10 includes a heart rate module 30. The heart rate module 30 may automatically detect and obtain the heart rate sign parameters of the target user at regular time.
In this scenario example, the smart band 10 includes a motion sensing module 40. The motion sensing module 40 may be configured to calculate motion information such as the number of steps of the target user.
In this scenario example, the smart band 10 includes a time display module 50. It can be used for displaying time information, and of course, it can also be used for timing, etc.
In this scenario example, the smart band 10 includes a sleep module 60. The sleep module 60 may monitor the number of times of night, total sleep duration, deep sleep duration, etc. of the target user, and calculate to obtain the characteristic value of the designated dimension of sleep.
In this scenario example, the smart band 10 includes a fingerprint module 70. The fingerprint module can be used for acquiring user fingerprint characteristic information; and when the user fingerprint characteristic information is matched with preset fingerprint characteristic information, unlocking the wearable equipment. In this scenario, the server may send a fingerprint confirmation request to the smart band 10 at irregular intervals to ensure that the wearer of the smart band is the target user.
In this scenario, the smart band 10 includes a near field communication module 80, and the near field communication module 80 is configured to perform data interaction within a specified close range. In this scenario, functions such as hospital registration, patient identification, return payment, company card punching, door opening, public transportation, etc. can be realized through the near field communication module 80.
In this scenario example, the smart band 10 includes a battery 90, and can be used for 15 days continuously. The smart band 10 further includes a charging port 100.
In this scenario example, the smart band 10 includes a location information module 110. The location information module 110 is configured to obtain location information of the wearable device. Specifically, the position information module 110 may record a motion trajectory of the target user.
In this scenario example, the smart band 10 includes a vibration motor 130. When the evaluation value of the physical sign state is lower than a preset evaluation value, the processing module sends a notice to the vibration motor, and the vibration motor performs mechanical vibration after receiving the notice.
In this scenario example, the smart band 10 includes a feedback module. The feedback module is used for receiving feedback information of the target user; the feedback information is used for correcting the physical sign parameters. Specifically, for example, when the target user feels bad in his or her own body and the evaluation value of the physical sign state displayed on the smart band 10 is still high, the user sends an error message. And the processing module performs learning record and algorithm optimization according to the error reporting information.
In this scenario example, the smart band 10 is covered with a waterproof layer, so that the target user can be ensured to use normally when washing in life, and repeated removal is avoided.
In this scenario example, the wearable device further includes a data receiving module, where the data receiving module is configured to receive the user data information sent by the server; the user data information may include: user age, user gender, user weight, user height, etc. The data receiving module can also be used for receiving environment data information sent by the server; the environment data information may include: ambient temperature, ambient humidity, air pollutant index, etc. Of course, in this scenario example, the user data information and the environment data information may also be sent to the wearable device through the client, which is not described in detail here. The processing module can optimize an algorithm according to the user data information and the environment data information, so that the obtained characteristic value and the obtained evaluation value of the physical sign state are closer to reality.
Please refer to fig. 2, which is another embodiment of the present disclosure. In this scenario example, the display module is integrated into a display, and the display may show different display interfaces according to an operation instruction such as a user touch, so as to display the characterization value, the sign state evaluation value, and the like.
In one embodiment, the specified dimensions include: heart rate, body temperature, exercise, sleep.
In this embodiment, the heart rate may refer to the number of beats per minute of the user. The body temperature may be a body surface temperature of the user or an internal temperature of the user, and is not particularly limited herein. The exercise may refer to a dimension reflecting the movement of the user. The sleep may refer to a dimension reflecting a resting situation of the user.
In one embodiment, the processing module obtains the evaluation value of the sign state of the target user according to the following function;
Figure BDA0002480445020000091
wherein, A is the evaluation value of the sign state, ai is the representation value of the specified dimension, and fi is the weight of the specified dimension;
Figure BDA0002480445020000092
in one embodiment, the wearable device further comprises a data receiving module, wherein the data receiving module is used for receiving the user data information sent by the server; the user data information includes at least one of: the age, sex, weight and height of the user; the user data information is used for correcting the preset threshold value on the designated dimension.
In one embodiment, the data receiving module is further configured to receive environment data information sent by a server; the environment data information includes at least one of: ambient temperature, ambient humidity, air pollutant index; the environmental data information is used for correcting the preset threshold value on the designated dimension.
In one embodiment, the wearable device is externally coated with a waterproof protective layer.
In one embodiment, the wearable device further comprises: the fingerprint module is used for acquiring the fingerprint characteristic information of the user; unlocking the wearable device when the user fingerprint feature information is matched with preset fingerprint feature information; the near field communication module is used for carrying out data interaction in a specified close range; a location information module for obtaining location information of the wearable device; and the emergency communication module is used for sending emergency alarm information to the target object.
In one embodiment, the wearable device further comprises: a vibration motor; when the evaluation value of the physical sign state is lower than a preset evaluation value, the processing module sends a notice to the vibration motor, and the vibration motor performs mechanical vibration after receiving the notice.
In one embodiment, the wearable device further comprises a feedback module for receiving feedback information of the target user; the feedback information is used for correcting the physical sign parameters.
Embodiments of the present description also provide a wearable device, including: the wearable equipment is of a ring structure; this ring body is provided with structurally: the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user; the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the sign parameters are used for representing the state of the sign of the target user in the specified dimension; the sending module is used for sending the physical sign parameters to a server; the server is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension; calculating based on at least two characterization values to obtain a sign state evaluation value of the target user; a receiving module, configured to receive the sign state evaluation value; the display module is arranged on the outer side of the ring body structure and used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign.
In this embodiment, the server performs an arithmetic process according to the received physical sign parameters and the like, and sends a processing result to the wearable device for the wearable device to display the physical sign state evaluation value and the like.
In the present embodiment, only the differences from the foregoing embodiment are described, and other contents may be explained in comparison with the contents of the foregoing embodiment, and are not described again here.
The embodiments in the specification are described in a progressive mode, the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the difference between the other embodiments.
The server in the embodiments of the present specification may be an electronic device having a certain arithmetic processing capability. Which may have network communication terminals, a processor, memory, etc. Of course, the server may also refer to software running in the electronic device. The server may be a distributed server, and may be a system having a plurality of processors, memories, network communication modules, and the like that cooperate with one another.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardbyscript Description Language (vhr Description Language), and the like, which are currently used by Hardware compiler-software (Hardware Description Language-software). It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
Those skilled in the art will also appreciate that, in addition to implementing a client, server as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the client, server are in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a client, server may be considered as a hardware component, and the means included therein for implementing various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present specification.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, embodiments of a server, a user client, a computer storage medium may be explained with reference to the introduction of embodiments of the aforementioned method.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the specification has been described with respect to the embodiments, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that fall within the spirit and scope of the specification, and it is intended that the appended claims include such variations and modifications as fall within the spirit and scope of the specification.

Claims (9)

1. A wearable device, comprising: the wearable equipment is of a ring structure; this ring body is provided with structurally:
the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user;
the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the sign parameters are used for representing the state of the sign of the target user in the specified dimension;
the processing module is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension;
the processing module is further configured to perform operation based on at least two of the characterization values to obtain a sign state evaluation value of the target user;
the display module is arranged on the outer side of the ring body structure and used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign.
2. The wearable device of claim 1, wherein the specified dimensions comprise: heart rate, body temperature, exercise, sleep.
3. The wearable device of claim 1, further comprising a data receiving module configured to receive user data information from a server; the user data information includes at least one of: the age, sex, weight and height of the user; the user data information is used for correcting the preset threshold value on the designated dimension.
4. The wearable device of claim 3, wherein the data receiving module is further configured to receive environmental data information sent by a server; the environment data information includes at least one of: ambient temperature, ambient humidity, air pollutant index; the environmental data information is used for correcting the preset threshold value on the designated dimension.
5. The wearable device of claim 1, wherein the wearable device is externally coated with a waterproof protective layer.
6. The wearable device of claim 1, further comprising:
the fingerprint module is used for acquiring the fingerprint characteristic information of the user; unlocking the wearable device when the user fingerprint feature information is matched with preset fingerprint feature information;
the near field communication module is used for carrying out data interaction in a specified close range;
a location information module for obtaining location information of the wearable device;
and the emergency communication module is used for sending emergency alarm information to the target object.
7. The wearable device of claim 1, further comprising: a vibration motor; when the evaluation value of the physical sign state is lower than a preset evaluation value, the processing module sends a notice to the vibration motor, and the vibration motor performs mechanical vibration after receiving the notice.
8. The wearable device of claim 1, further comprising a feedback module to receive feedback information of the target user; the feedback information is used for correcting the physical sign parameters.
9. A wearable device, comprising: the wearable equipment is of a ring structure; this ring body is provided with structurally:
the system comprises at least two sensors, a signal processing unit and a signal processing unit, wherein the sensors are used for acquiring sign signals of a target user;
the preprocessing module is used for obtaining at least two sign parameters with specified dimensionality according to the target user sign signal; the sign parameters are used for representing the state of the sign of the target user in the specified dimension;
the sending module is used for sending the physical sign parameters to a server; the server is used for respectively matching at least two sign parameters with a preset threshold value on the designated dimension to obtain a characteristic value of the designated dimension; the preset threshold is used for dividing parameter ranges corresponding to different state grades on the designated dimension; calculating based on at least two characterization values to obtain a sign state evaluation value of the target user;
a receiving module, configured to receive the sign state evaluation value;
the display module is arranged on the outer side of the ring body structure and used for displaying a vital sign interface; and the vital sign interface displays the evaluation value of the state of the vital sign.
CN202020732556.0U 2020-05-07 2020-05-07 Wearable device Expired - Fee Related CN213129440U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202020732556.0U CN213129440U (en) 2020-05-07 2020-05-07 Wearable device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202020732556.0U CN213129440U (en) 2020-05-07 2020-05-07 Wearable device

Publications (1)

Publication Number Publication Date
CN213129440U true CN213129440U (en) 2021-05-07

Family

ID=75709461

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202020732556.0U Expired - Fee Related CN213129440U (en) 2020-05-07 2020-05-07 Wearable device

Country Status (1)

Country Link
CN (1) CN213129440U (en)

Similar Documents

Publication Publication Date Title
Deep et al. A survey on anomalous behavior detection for elderly care using dense-sensing networks
Ortiz Smartphone-based human activity recognition
CN106556424B (en) A kind of intelligence wearable device and its energy-saving operating method
Redmond et al. What does big data mean for wearable sensor systems?
US10768196B2 (en) Determine wearing position of a wearable device
CN113520340A (en) Sleep report generation method, device, terminal and storage medium
KR20160105129A (en) Method for measuring bio-signal and wearable electronic device
CN205050303U (en) Human paralysis of intelligence is monitoring devices
CN110151136A (en) It has ready conditions with reference to heart rate sleep state monitoring method, device, equipment and medium
TWM537277U (en) Infant caring information system
WO2024012330A1 (en) Electronic device for evaluating progression of parkinson's disease
CN113646027B (en) Electronic device and method for providing information for decompression by the electronic device
CN111798978A (en) User health assessment method and device, storage medium and electronic equipment
Liu et al. Automatic fall risk detection based on imbalanced data
Bianchi et al. Multi sensor assistant: a multisensor wearable device for ambient assisted living
Jansi et al. Remote monitoring of children with chronic illness using wearable vest
CN213129440U (en) Wearable device
US20210052170A1 (en) Systems and methods for dynamic biometric detection and response
US11348442B2 (en) Hygiene detection devices and methods
CN206462986U (en) A kind of bracelet for being used to guard
KR102328182B1 (en) Wearable device for counting physcial contact between multiful users and system for improving their relationships using the same
CN110517447B (en) Method for preventing user from falling during sleeping, wearable device and storage medium
CN113100724A (en) Multifunctional intelligent clothing system for non-monitoring crowd
CN207693555U (en) A kind of health data system of Intelligent bracelet
Karagiannis et al. Hardware/Software Co-Design of a Low-Power IoT Fall Detection Device

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20210507