CN114027845A

CN114027845A - Human body state detection method, handle, container, electronic device, and storage medium

Info

Publication number: CN114027845A
Application number: CN202111506000.5A
Authority: CN
Inventors: 饶奋标
Original assignee: Yuanqi Forest Beijing Food Technology Group Co ltd
Current assignee: Yuanqi Forest Beijing Food Technology Group Co ltd
Priority date: 2021-12-10
Filing date: 2021-12-10
Publication date: 2022-02-11
Anticipated expiration: 2041-12-10
Also published as: CN114027845B

Abstract

The present disclosure provides a human body state detection method, a handle, a container, an electronic device, and a storage medium, where the human body state detection method is applied to the container, and the container includes a door and a handle disposed on the door; the method comprises the following steps: acquiring a human body electric signal generated by a user holding the handle, wherein the human body electric signal is an analog electric signal; converting the human body electrical signal to obtain a target electrical signal, wherein the target electrical signal is a digital electrical signal; and determining human body frequency domain data based on the target electric signal, and determining human body state information based on the human body frequency domain data. According to the embodiment of the application, the health state information of the human body can be detected when the user acquires the article, health guidance is provided for the user, and user experience is improved.

Description

Human body state detection method, handle, container, electronic device, and storage medium

Technical Field

The disclosure relates to the technical field of intelligent containers, in particular to a human body state detection method, a handle, a container, electronic equipment and a storage medium.

Background

With the improvement of the living environment and economic conditions of people, the requirements of people on health are higher and higher. For example, when purchasing an item, a person usually selects the corresponding item according to their health status, thereby ensuring their health status.

However, the human body state changes with the change of time, and most containers in the prior art are only used for storing articles, and cannot detect the health state of the user who obtains the articles in real time, so that the articles obtained by the user may affect the health of the user.

Disclosure of Invention

The embodiment of the disclosure at least provides a human body state detection method, a handle, a container, a device, an electronic device and a storage medium, which can detect the human body state of a user in the process of taking articles by the user and facilitate the user to know the self health state in time.

The embodiment of the disclosure provides a human body state detection method, which is applied to a container, wherein the container comprises a container door and a handle arranged on the container door; the method comprises the following steps:

acquiring a human body electric signal generated by a user holding the handle, wherein the human body electric signal is an analog electric signal;

converting the human body electrical signal to obtain a target electrical signal, wherein the target electrical signal is a digital electrical signal;

and determining human body frequency domain data based on the target electric signal, and determining human body state information based on the human body frequency domain data.

In the embodiment of the disclosure, in the process that the user holds the handle and opens the container, the human body electrical signal generated when the user holds the handle can be acquired, and the health state information of the user can be determined based on the electrical signal, so that the user can know the health state of the user in the process of acquiring the articles, and further the user can acquire corresponding articles according to the health state of the user, and the health state of the user can be favorably improved.

In addition, in the embodiment of the disclosure, after analog-to-digital conversion is performed on the human body electrical signal, human body frequency domain data is determined, and then human body state information is determined based on the human body frequency domain data, so that the detection efficiency and the detection precision of the human body state can be improved, the detection of the health state is realized at the moment when the user grips the handle and opens the cabinet door, and the detection experience of the user is further improved.

In one possible embodiment, the handle is provided with a human body detector, and the acquiring of the human body electrical signal generated by the user holding the handle comprises:

and acquiring a human body electric signal generated by the user holding the handle through the human body detector.

In the embodiment of the disclosure, the human body electric signal generated by holding the handle by the user is acquired by the human body detector arranged on the handle, so that the acquisition efficiency of the human body electric signal can be improved.

In a possible implementation manner, the converting the human body electrical signal to obtain a target electrical signal includes:

filtering the human body electric signal to obtain a filtered human body electric signal;

and performing analog-to-digital conversion on the filtered human body electric signal to obtain the target electric signal.

In the embodiment of the disclosure, the human body electrical signal is filtered and then converted into the target electrical signal, so that the precision of the target electrical signal can be improved.

In one possible embodiment, the determining human body frequency domain data based on the target electrical signal includes:

carrying out amplification operation processing on the target electric signal to obtain an amplified target electric signal;

and converting the amplified target electric signal from a time domain to a frequency domain to obtain the human body frequency domain data.

In the embodiment of the disclosure, the target electrical signal after the amplification operation is converted from the time domain to the frequency domain, so that the human body frequency domain data can be obtained, and further the subsequent analysis processing is facilitated.

In a possible implementation, the converting the amplified target electrical signal from the time domain to the frequency domain includes:

and based on a fast Fourier transform algorithm, converting the amplified target electric signal from a time domain to a frequency domain.

In the embodiment of the disclosure, based on a fast fourier transform algorithm, the time domain to frequency domain conversion is performed on the amplified target electrical signal, so that the conversion efficiency can be improved.

In one possible embodiment, the determining human body state information based on the human body frequency domain data includes:

carrying out feature extraction on the human body frequency domain data to determine target human body feature data;

and determining the human body state information based on the target human body characteristic data and preset human body characteristic data.

In the embodiment of the disclosure, the determination efficiency of the human body state information can be improved by comparing the target human body characteristic data with the preset human body characteristic data.

In a possible implementation manner, the human body state is a human body heart rate state, and the performing feature extraction on the human body frequency domain data to determine target human body feature data includes:

dividing the human body frequency domain data into a plurality of frequency bands based on attribute information of human body states;

and determining a plurality of target frequency bands from the plurality of frequency bands according to a preset rule to obtain the target human body characteristic data.

In the embodiment of the disclosure, the target human body characteristic data is obtained based on the attribute information of the human body state, so that the obtained target human body characteristic data can indicate the corresponding human body state attribute.

In one possible embodiment, the method further comprises:

and generating article acquisition suggestion information based on the human body state information and the attribute information of the articles to be acquired in the container.

In the embodiment of the disclosure, the article acquisition advice information can be generated based on the human body state information and the attribute information of the article to be acquired in the container, so that the corresponding article acquisition advice information can be directly provided for the user, the subjective judgment process of the user is avoided, and the experience of the user in acquiring the article is improved.

In one possible embodiment, the method further comprises:

and generating prompt information based on the human body state information and the article acquisition suggestion information.

In the embodiment of the disclosure, the suggestion information is further acquired based on the human body state information and the article, and the prompt information is generated, so that a corresponding prompt can be provided for a user in an intuitive mode, and the user can conveniently know the corresponding information.

The disclosed embodiment provides a handle, including: the human body detector, the signal converter and the processor are arranged on the handle body;

the human body detector is used for generating a human body electric signal when detecting that a human body is in contact with the human body detector;

the signal converter is electrically connected with the human body detector and is used for carrying out analog-to-digital conversion on the human body electric signal to obtain a target electric signal;

the processor is electrically connected with the signal converter and used for determining human body frequency domain data based on the target electric signal and determining human body state information based on the human body frequency domain data.

The embodiment of the present disclosure provides another kind of handle, install on the cargo container, include: the human body detector, the signal converter and the processor are arranged on the handle body;

the human body detector is connected with the signal converter and used for generating a human body electric signal when detecting that a human body is in contact with the human body detector and transmitting the human body electric signal to the signal converter; the shape of the human body detector is matched with that of the handle, and a plurality of bulges are formed on the body of the human body detector at intervals;

the signal converter is connected with the processor and used for carrying out analog-to-digital conversion on the human body electric signal to obtain a target electric signal and transmitting the target electric signal to the processor; wherein the target electrical signal is a digital electrical signal;

the processor is used for determining human body frequency domain data based on the target electric signal and determining human body state information based on the human body frequency domain data;

the processor is further configured to generate item acquisition suggestion information based on the human body state information and attribute information of the item to be acquired in the container, where the item acquisition suggestion information is used to instruct a user to select a first target item in the container and/or avoid selecting a second target item in the container.

The embodiment of the disclosure provides a container, including: cabinet door and foretell packing cupboard handle.

The embodiment of the present disclosure provides a human body state detection device, including:

the signal acquisition module is used for acquiring a human body electric signal generated by a user holding the handle, and the human body electric signal is an analog electric signal;

the signal conversion module is used for carrying out conversion processing on the human body electric signal to obtain a target electric signal, and the target electric signal is a digital electric signal;

and the signal processing module is used for determining human body frequency domain data based on the target electric signal and determining human body state information based on the human body frequency domain data.

In a possible implementation manner, a human body detector is disposed on the handle, and the signal acquisition module is specifically configured to:

In a possible implementation, the signal conversion module is specifically configured to:

In a possible implementation, the signal processing module is specifically configured to:

In a possible implementation manner, the human body state is a human body heart rate state, and the signal processing module is specifically configured to:

In a possible implementation, the apparatus further includes an information generation module configured to:

In a possible implementation, the information generating module is further configured to:

An embodiment of the present disclosure provides an electronic device, including: the human body state detection device comprises a processor, a memory and a bus, wherein the memory stores machine readable instructions executable by the processor, when the electronic device runs, the processor and the memory are communicated through the bus, and the machine readable instructions are executed by the processor to execute the human body state detection method.

The disclosed embodiments provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the above-described human body state detection method.

In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.

FIG. 1 shows a perspective view of a container provided by an embodiment of the disclosure;

FIG. 2 shows a schematic view of a structure of a container handle provided by an embodiment of the present disclosure;

fig. 3 shows a flowchart of a human body state detection method provided by an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a human body detector provided by an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of another human body detector provided by the embodiment of the present disclosure;

FIG. 6 is a flowchart illustrating a method for determining human body state information based on a target electrical signal according to an embodiment of the present disclosure;

FIG. 7 is a flowchart illustrating a method for determining target human characteristic data according to an embodiment of the present disclosure;

FIG. 8 is a schematic diagram illustrating frequency domain data of a human heart rate state provided by an embodiment of the disclosure;

fig. 9 is a flowchart illustrating another human body state detection method provided by the embodiment of the present disclosure;

fig. 10 is a schematic structural diagram illustrating a human body state detection device provided by an embodiment of the present disclosure;

fig. 11 is a schematic structural diagram of another human body state detection device provided in the embodiment of the present disclosure;

fig. 12 shows a schematic diagram of an electronic device provided by an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

The term "and/or" herein merely describes an associative relationship, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

Because the human state can change along with the change of time, and most of containers in the prior art are only used for storing articles and cannot detect the health state of a user who acquires the articles in real time, the articles acquired by the user can possibly influence the physical health of the user. For example, if the user's current blood sugar is high and the user selects a product with a high sugar content (such as a beverage with a high sugar content), the user's blood sugar will be further increased, which will affect the health status of the user.

Based on the research, the present disclosure provides a human body state detection method, which is applied to a container, where the container includes a door and a handle disposed on the door; the method comprises the following steps: acquiring a human body electric signal generated by a user holding the handle, wherein the human body electric signal is an analog electric signal; converting the human body electrical signal to obtain a target electrical signal, wherein the target electrical signal is a digital electrical signal; and determining human body frequency domain data based on the target electric signal, and determining human body state information based on the human body frequency domain data. The human body state information includes, but is not limited to, heart rate, blood sugar, blood pressure and other information.

In the embodiment of the disclosure, in the process of opening the container by holding the handle by the user, the human body electric signal generated by holding the handle by the user can be acquired, and the state information of the user can be determined based on the electric signal, so that the user can know the state of the user in the process of acquiring the object, and further the user can acquire the corresponding object according to the state of the user, and the health state of the user can be favorably improved.

The container to which the human body state detection method is applied will be described in detail below. Specifically, please refer to fig. 1, wherein fig. 1 is a perspective view of a container 100 according to an embodiment of the present disclosure, and the container 100 is used for storing an article 200. In this embodiment, the container 100 is used to store goods for sale, i.e., the container 100 is used for smart retail sales, including but not limited to various types of beverages, snacks, etc. The container 100 includes, but is not limited to, a refrigerator, a thermal container, and a general container without thermal insulation or refrigeration function. In addition, container 100 may also be used to store various types of items that are not sold, but are only accessible to specific personnel (e.g., employees of a business). In other embodiments, the container 100 may be a household refrigerator, a storage cabinet for storing articles, or the like, and is not limited herein.

The container 100 comprises a container body 10, a door 20 mounted on the container body 10, and a handle 30 mounted on the door 20. Wherein, the container body 10 is hollow, and a plurality of layers of storage plates (not shown) can be arranged at intervals in the container body, and each layer of storage plate is used for storing the articles 200. One end of a cabinet door 20 is connected with the container body 10 and can be switched between an opening state and a closing state; when the cabinet door 20 is in the open state, the user can take the article 200 from the container body 10; when the cabinet door 20 is in the closed state, the cabinet door 20 closes the container body 10.

The handle 30 is disposed on the cabinet door 20, and is used for facilitating a user to open or close the cabinet door 20. In the present embodiment, the form of the handle is not limited, and for example, the handle 30 may be a separate structure mounted on the cabinet door 20, or may be a recessed structure formed by recessing the surface of the cabinet door 20 inward.

It is understood that in some embodiments, the container 100 can also include a display component 40, and the display component 40 can be used to display human body status information. In this embodiment, the display component is disposed on the cabinet door 20, so that the user can conveniently view the information displayed on the display component 40 while taking the article 200, and of course, in other embodiments, the display component 40 may be mounted at other positions on the container body 10, which is not limited herein.

In addition, the container 100 can be provided with a voice output part (not shown), such as a loudspeaker, and the human body state information can be output through the voice output part.

Referring to fig. 2, fig. 2 is a schematic structural diagram of a handle 30 according to an embodiment of the disclosure. As shown in fig. 2, the handle 30 includes a human body detector 31, a signal converter 32, and a processor 33. The human body detector 31, the signal converter 32 and the processor 33 are all mounted on the handle body. The human body detector 31 is used for generating a human body electrical signal generated by a contact with a human body when the user holds the handle 30, wherein the human body electrical signal is an analog electrical signal. In some embodiments, the human body detector 31 is an electrode contact which can be mounted on the handle body and exposed on the surface of the handle body, so that when the user holds the handle 30, the hand of the user contacts with the electrode contact, and the electrode contact generates an electrical signal.

The signal converter 32 is electrically connected to the human body detector 31, and is configured to perform analog-to-digital conversion according to the human body electrical signal generated by the human body detector 31 to obtain a target electrical signal, that is, the target electrical signal is a digital electrical signal. The signal converter 32 is an electronic component that can convert an analog signal having continuous time and continuous amplitude into a digital signal having discrete time and discrete amplitude.

In some embodiments, the signal Converter 32 may be referred to as an a/D Converter or ADC (Analog to Digital Converter). In other embodiments, the signal converter 32 may be other types of electronic components, and may have other functions besides analog-to-digital conversion, which is not limited herein.

The processor 33 is electrically connected to the signal converter 32, and is configured to determine human frequency domain data based on the target electrical signal, and determine human status information based on the human frequency domain data. Where the frequency domain is a coordinate system used in describing the characteristics of a signal in terms of frequency, a frequency domain plot shows the amount of signal in each given frequency band in a frequency range. The processor 33 may be an integrated circuit chip having signal processing capabilities. The processor will be described in the following electronic device for further details.

It is understood that in other embodiments, the handle 30 may comprise only the human body detector 31 and the signal converter 32, that is, the processor 33 may be disposed in a separate electronic device, in this case, the handle 30 may comprise a communication module (not shown), after obtaining the target electrical signal, the handle 30 may send the target electrical signal to a processor in another electronic device to process the target electrical signal and return the obtained human body state information to the container 100, for example, the container 100 may display the received human body state information through the display part 40.

The electronic equipment can comprise a server and a mobile terminal. The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud storage, big data, an artificial intelligence platform and the like. The mobile terminal includes, but is not limited to, a tablet computer, a notebook computer, a mobile phone, and the like, and is not limited herein.

It should be noted that in some embodiments, the signal conversion function may also be implemented by the processor 33, that is, in the case that the processor 33 has the signal conversion function, the signal converter 32 may be omitted.

Referring to fig. 3, a human body status detection method provided in the embodiments of the present disclosure will be described in detail, and in some embodiments, the human body status detection method may be applied to the handle 30 in fig. 1, or used in the electronic device, or applied to a local or cloud server. The method includes the following steps S101 to S103:

s101, acquiring a human body electric signal generated by a user holding the handle, wherein the human body electric signal is an analog electric signal.

In some embodiments, the human body electrical signal generated when the user holds the handle may be obtained by the human body detector 31 in fig. 2, so that the human body electrical signal of the user may be obtained when the user holds the handle 30 and opens the cabinet door 20, and no additional other actions need to be added by the user, thereby improving the detection experience of the user.

In some embodiments, referring to fig. 4, a schematic structural diagram of a human body detector for detecting a heart rate state of a human body is shown, in this embodiment, the human body detector 31 may be a metal sheet 311 in a strip sheet structure, and preferably, the metal sheet 311 is a copper sheet with better conductivity. In order to achieve a better contact with the hand of the human body, the bumps 311a are formed on the body of the metal sheet 311 at intervals, and the number of the bumps 311a is proportional to the size of the metal sheet 311, that is, when the size of the metal sheet 311 is larger, the number of the bumps 311a is larger. It is understood that the size of the metal sheet 311 can be set according to the size of the handle 30. In this embodiment, the number of the bumps 311a is three, and in other embodiments, the number of the bumps 311a may be other numbers, such as two, four, or five, which is not limited herein. Further, an alloy sheet having high conductivity and high corrosion resistance may be used as the metal sheet 311.

In other embodiments, referring to fig. 5, which is a schematic structural diagram of a human body detector for detecting a blood glucose level of a human body, in the present embodiment, the human body detector 31 is a photoelectric conversion structure, the photoelectric conversion structure includes a cover 312, a plurality of protruding covers 312a are formed on the cover 312 at intervals, and a plurality of photoelectric converters 312b corresponding to the plurality of protruding covers 312a, and each photoelectric converter 312b is respectively accommodated in a corresponding protruding cover 312 a. In this embodiment, the photoelectric converter 312b is used for emitting infrared light, when the hand of the user contacts the convex cover 312a, the infrared light emitted by the photoelectric converter 312b will contact the hand and be reflected to form reflected light, and the photoelectric converter can generate a corresponding electrical signal according to the received reflected signal.

The cover 312 may be made of a silicone material, a Thermoplastic elastomer (TPE) or a Thermoplastic polyurethane elastomer (TPU), which is not limited herein.

S102, converting the human body electric signal to obtain a target electric signal, wherein the target electric signal is a digital electric signal.

It can be understood that, since the human body electrical signal detected by the human body detector 31 is an analog electrical signal, the analog electrical signal needs to be converted into a digital electrical signal to obtain the target electrical signal, thereby facilitating subsequent processing and analysis. The analog electrical signal detected by the human body detector 31 is weak and is in mV level.

However, since the human body detector is exposed to the air, it may contact the air or other parts of the handle body in addition to the hand of the user, and thus the acquired human body electrical signals may also include non-human body analog electrical signals. It should be noted that although the electrical signal in the air is relatively small, the electrical signal is in the same magnitude (mv level) as the human body electrical signal, so that, in order to improve the accuracy of the obtained target electrical signal, the human body electrical signal may be first filtered to obtain a filtered human body electrical signal when being converted; and then carrying out analog-to-digital conversion on the filtered human body electric signal to obtain the target electric signal. Illustratively, the filtering process may be performed on the human body electrical signal by using an alman filtering method or an anti-pulse filtering method.

S103, determining human body frequency domain data based on the target electric signal, and determining human body state information based on the human body frequency domain data.

It can be understood that, since the target electrical signal is a digital signal with discrete time and discrete amplitude, the human body frequency domain data can be determined based on the target electrical signal in the time domain. Specifically, referring to fig. 6, when determining human body frequency domain data based on the target electrical signal and determining human body state information based on the human body frequency domain data, the following S1031 to S1034 may be included:

and S1031, carrying out amplification operation processing on the target electric signal to obtain an amplified target electric signal.

Specifically, the target electrical signal can be normalized, in this embodiment, taking the target electrical signal of the heart rate as an example, the amplification factor is usually 100 times, so that the amplified signal can conform to the characteristics of the heart rate of the human body, and subsequent characteristic extraction and observation are facilitated. In other embodiments, the specific amplification factor may be set according to actual requirements, and is not limited herein. For example, if the target electrical signal is a digital signal between 1 and 10, a digital signal between 100 and 1000 is obtained after normalization processing.

In addition, in the process of performing amplification operation processing on the target electric signal, secondary filtering can be performed on the target electric signal.

S1032, the amplified target electric signal is converted from a time domain to a frequency domain to obtain the human body frequency domain data.

Where time domain is a mathematical function or a physical signal versus time, for example, a time domain waveform of a signal may express the change of the signal over time. The frequency domain is a coordinate system used to describe the characteristics of the signal in terms of frequency, and the time domain is the only objective domain. Wherein, the time domain is a unique objective existing domain, and the frequency domain is a mathematical category following a specific rule and is a mathematical structure.

Illustratively, the amplified target electrical signal may be subjected to a time-domain to frequency-domain conversion based on a Fast Fourier Transform (FFT) algorithm. Because the fast Fourier transform is a fast algorithm of the discrete Fourier transform and is obtained by improving the algorithm of the discrete Fourier transform according to the characteristics of odd, even, virtual, real and the like of the discrete Fourier transform, the amplified target electrical signal is converted from a time domain to a frequency domain based on the fast Fourier transform algorithm, and the determination efficiency of human body frequency domain data can be improved.

And S1033, performing feature extraction on the human body frequency domain data, and determining target human body feature data.

It can be understood that, because the human frequency domain characteristic data corresponding to different human states are different, specifically, different target human characteristic data can be determined according to actual requirements (different human states). For example, in the case where the human body state is a human blood sugar state, the frequency domain data having a frequency of 10 hz may be determined as the target human body characteristic data. When the human body state is a human heart rate state, and when the features of the human body frequency domain data of the heart rate are extracted, as shown in fig. 7, the following steps S10331 to S10332 may be included:

s10331, dividing the human body frequency domain data into a plurality of frequency bands based on the attribute information of the human body state.

Illustratively, referring to fig. 8, taking the state of the human heart as an example for illustration, the human frequency domain data may be divided into several frequency bands, such as P-band, P-R-band, S-T-band, etc., according to the attribute information of the heart indicated by the heart rate. Wherein each band represents a specific cycle and phase of various electrical activities at different heart sites, for example, the P-segment is an initial part of the whole cardiac cycle and represents a specific situation of potential change during the depolarization of atrial muscle; the P-R segment represents the conduction time required for excitation by the sinoatrial node to cause the ventricular muscle to begin exciting; the T segment mainly represents the potential fluctuation change when the ventricles rapidly move and repolarize.

S10332, determining a plurality of target frequency bands from the plurality of frequency bands according to a preset rule, and obtaining the target human body characteristic data.

The preset rule can be set according to the actual situation. Illustratively, a plurality of target frequency bands may be determined from several frequency bands in fig. 6, wherein each target frequency band may indicate a different human body characteristic.

Illustratively, the target frequency band may include an amplitude mean maximum frequency band, an amplitude mean minimum frequency band, an amplitude variance maximum frequency band, an amplitude variance minimum frequency band, a frequency ratio maximum frequency band, a frequency ratio minimum frequency band, and the like. For example, the amplitude mean maximum frequency band is P-band.

S1034, determining the human body state information based on the target human body characteristic data and preset human body characteristic data.

For example, after obtaining a plurality of target frequency bands, each frequency band may be compared with preset human body characteristic data, so as to obtain human body state information. For example, if the amplitude of the P segment with the largest average amplitude is greater than the preset human characteristic data, it may be determined that the atrium of the current heart is excited.

In addition, it should be noted that, when the human body state is the human body blood sugar state, because the human body frequency domain data of blood sugar and the human body blood sugar concentration have a corresponding conversion ratio relationship, after the frequency domain data is obtained, the human body blood sugar concentration can be directly obtained according to the amplitude of the frequency domain data and the corresponding conversion ratio, and then the human body blood sugar concentration is compared with a preset reference blood sugar threshold (preset human body characteristic data), so that the human body state information can be obtained. For example, if the detected blood sugar concentration of the human body is lower than a preset minimum blood sugar threshold, determining that the current user is in a hypoglycemic state; and if the detected blood sugar concentration of the human body is higher than a preset highest blood sugar threshold value, determining that the current user is in a high blood sugar state.

It is understood that the reference blood glucose concentration of a human body after eating or not eating may be different, for example, if the user is in a fasting state, the reference blood glucose concentration should be lower, and if the user is in a postprandial state, the reference blood glucose concentration should be higher. Therefore, in order to improve the accuracy of determining the blood sugar state of the human body, after the concentration of the blood sugar of the human body is obtained, the current detection time can be obtained, and the reference blood sugar threshold value of the current detection time is determined according to the current detection time and the preset mapping relation table between the detection time and the blood sugar threshold value. For example, if the current testing time is between 3 pm and 5 pm, the reference blood glucose threshold should be the postprandial blood glucose threshold, and if the current testing time is between 5 am and 7 am, the reference blood glucose threshold should be the preprandial blood glucose threshold. The mapping relation table of the detection time and the blood glucose threshold value can be obtained by counting the eating rules and the blood glucose concentration of a large number of users.

Referring to fig. 9, a flowchart of another human body status detection method provided in the embodiment of the present disclosure is different from the method in fig. 3, and after step 103, the method further includes the following steps S104 to S105:

s104, generating article acquisition suggestion information based on the human body state information and the attribute information of the articles to be acquired in the container.

For example, after the human body state information is determined, the article acquisition suggestion information can be generated according to the attribute information of the article to be acquired in the container. Wherein the item acquisition advice information is used to instruct the user to select a first target item within the container 100 and/or to avoid selecting a second target item within the container 100. In some embodiments, the attribute information of the item to be obtained may be collected when the item is placed within a container. The attribute information of the to-be-acquired article includes, but is not limited to, article type information, ingredient information, nutritional component information, and the like of the to-be-acquired article. Therefore, suggestions can be provided for the user, the process that the user actively thinks is avoided, and the obtaining experience of the user is improved.

In another embodiment, an image of the to-be-acquired item in the container may be acquired through a camera (not shown) disposed on the container, target detection is performed on the to-be-acquired item based on the image of the to-be-acquired item, a detection result is obtained, and then attribute information of the to-be-acquired item is determined according to the detection result. The detection result includes but is not limited to at least one of the type information, name information, capacity information and confidence of the detection result of the article to be acquired.

It can be understood that the pre-trained spirit network for target detection may be used to perform target detection on the image of the object to be acquired, and after the type and name of the object to be acquired are detected, the attribute information of the object to be acquired may be determined from the preset mapping relationship table between the object to be acquired and the attribute information of the object according to the name. For example, if the object to be acquired is determined to be an article a by target detection, the attribute information of the article a can be directly acquired according to the corresponding relationship in the mapping relationship table; if the object to be acquired is determined to be the object B through the target detection, the attribute information of the object B can be directly acquired according to the corresponding relation in the mapping relation table.

And S105, generating prompt information based on the human body state information and the article acquisition suggestion information.

For example, after the human body state information of the user and the article acquisition suggestion information are obtained, corresponding prompt information can be generated to prompt the user in an intuitive mode. The prompt message includes but is not limited to a voice prompt message and/or a text prompt message. The image-text prompt information can be only the character prompt information or the animation prompt information.

Specifically, for the blood sugar state of the human body, the prompt message may include: "the current blood sugar concentration is X, the blood sugar is higher, and you are advised to select the product with lower sugar content"; for the heart rate state of the human body, the prompt message may include: "the current heart rate is Y, the heart rate is faster, and it is recommended to avoid selecting the hormone-containing items, for example, please avoid selecting the items C and the items D in the container".

The following describes an implementation process of the human body state detection method provided by the embodiment of the present disclosure, taking a human body heart rate state as an example.

Referring to fig. 1 and 2 again, when the user holds the handle 30 and wants to open the cabinet door 20, the user's hand contacts with the human body detector 31 mounted on the handle 30, at this time, the human body detector 31 (metal sheet) contacts with the human body hand, and transmits the human body electrical signal (analog signal) to the signal converter 32, and the signal converter 32 performs analog-to-digital conversion on the received human body electrical signal to obtain a target electrical signal; the processor 33 then converts the time-domain target electrical signal into human frequency domain data, and determines human status information according to the human frequency domain data. For example, if the obtained human body state information is that the heart rate is M times per minute, article acquisition suggestion information is generated according to the human body state and/or attribute information of an article to be acquired in the cabinet 100, and further, the human body state information and the article acquisition suggestion information can be output in a prompt information mode to remind a user.

It can be understood that the implementation process for the blood sugar state of the human body is similar to the heart rate state of the human body, and is not described herein again.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

Based on the same technical concept, a human body state detection device corresponding to the human body state detection method is further provided in the embodiment of the present disclosure, and as the principle of solving the problem of the device in the embodiment of the present disclosure is similar to the human body state detection method in the embodiment of the present disclosure, the implementation of the device can refer to the implementation of the method, and repeated details are not repeated.

Referring to fig. 10, a schematic diagram of a human body status detecting device 500 provided in an embodiment of the present disclosure is shown, the device includes:

the signal obtaining module 501 is configured to obtain a human body electrical signal generated by a user holding the handle, where the human body electrical signal is an analog electrical signal.

The signal conversion module 502 is configured to perform conversion processing on the human body electrical signal to obtain a target electrical signal, where the target electrical signal is a digital electrical signal.

The signal processing module 503 is configured to determine human body frequency domain data based on the target electrical signal, and determine human body state information based on the human body frequency domain data.

In a possible implementation manner, referring to fig. 11, the apparatus further includes an information generating module 504, where the information generating module 504 is configured to:

The description of the processing flow of each module in the device and the interaction flow between the modules may refer to the related description in the above method embodiments, and will not be described in detail here.

Based on the same technical concept, the embodiment of the disclosure also provides an electronic device. Referring to fig. 12, a schematic structural diagram of an electronic device 700 provided in the embodiment of the present disclosure includes a processor 701, a memory 702, and a bus 703. The memory 702 is used for storing execution instructions and includes a memory 7021 and an external memory 7022; the memory 7021 is also referred to as an internal memory and temporarily stores operation data in the processor 701 and data exchanged with an external memory 7022 such as a hard disk, and the processor 701 exchanges data with the external memory 7022 via the memory 7021.

In this embodiment, the memory 702 is specifically configured to store application program codes for executing the scheme of the present application, and is controlled by the processor 701 to execute. That is, when the electronic device 700 is operated, the processor 701 and the memory 702 communicate with each other through the bus 703, so that the processor 701 executes the application program code stored in the memory 702, thereby executing the method described in any of the foregoing embodiments.

The Memory 702 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.

The processor 701 may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the electronic device 700. In other embodiments of the present application, the electronic device 700 may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

The disclosed embodiment also provides a computer readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the human body state detection method in the above method embodiment are executed. The storage medium may be a volatile or non-volatile computer-readable storage medium.

The embodiments of the present disclosure also provide a computer program product, where the computer program product carries a program code, and instructions included in the program code may be used to execute the steps of the human body state detection method in the foregoing method embodiments, which may be referred to specifically for the foregoing method embodiments, and are not described herein again.

The computer program product may be implemented by hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present disclosure, and should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. The human body state detection method is characterized by being applied to a container, wherein the container comprises a cabinet door and a handle arranged on the cabinet door; the method comprises the following steps:

2. The method of claim 1, wherein the handle is provided with a human body detector, and the acquiring of the human body electrical signal generated by the user holding the handle comprises:

3. The method according to claim 1, wherein the converting the human body electrical signal to obtain a target electrical signal comprises:

4. The method of claim 1, wherein determining human frequency domain data based on the target electrical signal comprises:

5. The method of claim 1, wherein the determining human state information based on the human frequency domain data comprises:

6. The method according to claim 5, wherein the human body state is a human body heart rate state, and the performing feature extraction on the human body frequency domain data to determine target human body feature data comprises:

7. The method according to any one of claims 1-6, further comprising:

8. The method of claim 7, further comprising:

9. A handle, comprising: the human body detector, the signal converter and the processor are arranged on the handle body;

the signal converter is electrically connected with the human body detector and is used for carrying out analog-to-digital conversion on the human body electric signal to obtain a target electric signal, and the target electric signal is a digital electric signal;

10. A handle, which is installed on a cargo container, characterized in that the handle comprises: the human body detector, the signal converter and the processor are arranged on the handle body;

11. A freight container, comprising: a cabinet door and a container handle according to claim 9 or 10.

12. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the human state detection method according to any one of claims 1-8.

13. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the human condition detection method according to any one of claims 1-8.