CN115120183A - Interaction method, interaction device, electronic device and storage medium - Google Patents
Interaction method, interaction device, electronic device and storage medium Download PDFInfo
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- CN115120183A CN115120183A CN202110326017.6A CN202110326017A CN115120183A CN 115120183 A CN115120183 A CN 115120183A CN 202110326017 A CN202110326017 A CN 202110326017A CN 115120183 A CN115120183 A CN 115120183A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0204—Operational features of power management
- A61B2560/0209—Operational features of power management adapted for power saving
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
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Abstract
The application discloses an interaction method, an interaction device, an electronic device and a storage medium. The interaction method comprises the following steps: the method comprises the steps of acquiring first health data acquired by an electronic device, acquiring second health data of the wearable device when the first health data do not meet a preset standard, and calibrating the electronic device with the second health data when the deviation of the first health data and the second health data is not within a preset range. According to the interaction method, the wearable device is awakened to detect to obtain the second health data when the first health data do not meet the preset standard, the first health data and the second health data can be compared, and when the deviation of the first health data and the second health data is not within the preset range, the electronic device is calibrated by the second health data, so that the detection precision of the electronic device is improved, the data transmission frequency of the electronic device and the wearable device is reduced, and extra power consumption of the electronic device and the wearable device is avoided.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to an interaction method, an interaction apparatus, an electronic apparatus, and a storage medium.
Background
With the development of technology, smart devices such as smart watches are widely used in life, but due to the performance of sensors built in the smart watches, the accuracy of the relevant health data of the user detected by the smart watches is low; and wearable equipment with the cooperation of intelligent wrist-watch use can be used for more accurate relevant health data of detection, and how to improve the data degree of accuracy that intelligent wrist-watch detected through wearable equipment becomes the problem of treating to solve.
Disclosure of Invention
The application provides an interaction method, an interaction device, an electronic device and a storage medium.
The application provides an interaction method for an electronic device, which comprises the following steps:
acquiring first health data acquired by an electronic device;
when the first health data do not meet the preset standard, second health data of the wearable device are obtained;
when the deviation of the first health data and the second health data is not within a preset range, the electronic device is calibrated by the second health data.
The application provides an interaction device, the interaction device includes:
the acquisition module is used for acquiring first health data acquired by the electronic device and acquiring second health data of the wearable equipment when the first health data do not meet a preset standard;
the calibration module is used for calibrating the electronic device according to the second health data when the deviation of the first health data and the second health data is not within a preset range.
An electronic apparatus is provided, which includes a detection device and a processor; the detection device is used for detecting first health data; the processor is used for acquiring first health data acquired by an electronic device, acquiring second health data of the wearable device when the first health data do not meet a preset standard, and calibrating the electronic device with the second health data when the deviation of the first health data and the second health data is not within a preset range.
According to the interaction method, the interaction device and the electronic device, when the first health data collected by the electronic device do not meet the preset standard, the wearable device can be awakened to detect to obtain the second health data, the first health data and the second health data can be compared, and when the deviation between the first health data and the second health data is not within the preset range, the electronic device is calibrated by the second health data. Therefore, the accuracy of detecting the health data by the electronic device is improved, the times of data transmission between the electronic device and the wearable equipment are reduced, and extra power consumption between the electronic device and the wearable equipment is avoided.
In some embodiments, the present application provides a non-volatile computer-readable storage medium storing a computer program, which when executed by one or more processors implements the interaction method of any one of the above embodiments.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart diagram of an interaction method according to an embodiment of the present application;
FIG. 2 is a block diagram of an interaction device according to an embodiment of the present application;
fig. 3 is a schematic perspective view of an electronic device and a wearable apparatus according to an embodiment of the present disclosure;
FIG. 4 is a flowchart illustrating an interaction method according to an embodiment of the present application
FIG. 5 is a flow chart diagram of an interaction method of an embodiment of the present application;
FIG. 6 is a flow chart diagram of an interaction method according to an embodiment of the present application;
fig. 7 is a flowchart illustrating an interaction method according to an embodiment of the present application.
Description of the main elements and symbols:
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative and are only for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following disclosure provides many different embodiments or examples for implementing different features of the application. To simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Moreover, the present application may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, examples of various specific processes and materials are provided herein, but one of ordinary skill in the art may recognize the application of other processes and/or the use of other materials.
Referring to fig. 1, an interaction method for an electronic device 100 (shown in fig. 3) is provided in the embodiments of the present application, and the interaction method includes:
step S10: acquiring first health data acquired by the electronic device 100;
step S20: when the first health data do not meet the preset standard, acquiring second health data of the wearable device 300;
step S30: when the deviation of the first health data and the second health data is not within the preset range, the electronic device 100 is calibrated by the second health data.
Referring to fig. 2, an interactive apparatus 200 is provided in the present embodiment, where the interactive apparatus 200 includes an obtaining module 21 and a calibrating module 22. The interaction method according to the embodiment of the present application can be implemented by the interaction apparatus 200 according to the embodiment of the present application. For example, the steps S10 and S20 may be implemented by the obtaining module 21 of the interactive device 200, and the step S30 may be implemented by the calibration module 22 of the interactive device 200.
In other words, the obtaining module 21 is configured to obtain first health data collected by the electronic apparatus 100, and is configured to obtain second health data of the wearable device 300 when the first health data does not meet a preset standard; the calibration module 22 is configured to calibrate the electronic device 100 with the second health data when the deviation between the first health data and the second health data is not within a preset range.
Referring to fig. 3, an electronic apparatus 100 is further provided in the present embodiment, where the electronic apparatus 100 includes a detection device 10 and a processor 12, where the detection device 10 may be configured to detect first health data, the processor 12 may be configured to acquire the first health data acquired by the electronic apparatus 100, acquire second health data of the wearable device 300, and calibrate the electronic apparatus 100 with the second health data when a deviation between the first health data and the second health data is not within a preset range, and the electronic apparatus 100 may further include a memory 11, where the memory 11 may be configured to store a computer program.
Specifically, the electronic device 100 in the embodiment of the present application may be a small-sized smart mobile terminal such as a smart watch and a smart band. The wearable device 300 in the embodiment of the present application may be present as an accessory of the electronic apparatus 100, for example, when the electronic apparatus 100 is a smart watch, the wearable device 300 may be a smart watch band connected to the smart watch, and of course, the wearable device 300 may also be present as another independent accessory and may be worn on any part of the limb of the user.
When the user wears the wearable device 300, the detection unit 31 built in the wearable device 300 has a detection function, and can be used to assist in detecting relevant information of the user, for example, the detection unit 31 may include various types of sensors for detecting health data of corresponding items of the user, and the wearable device 300 may further have a built-in communication module for communicating with the electronic apparatus 100 to transmit data, for example, the wearable device 300 may have a built-in bluetooth module 32 for performing a data transmission task with the electronic apparatus 100.
In particular, the embodiments of the present application do not limit the specific forms of the electronic apparatus 100 and the wearable device 300, but the wearable device 300 may be connected to the electronic apparatus 100 and communicate with the electronic apparatus 100, and in particular, the connection does not necessarily refer to a physical connection. In addition, the electronic devices 100 mentioned below may be taken as a smart watch, and the corresponding wearable apparatus 300 exists as an accessory of the electronic device 100, i.e. the smart watch.
Thanks to the increasing sophistication of modern technologies, smart watches, as small electronic devices 100, not only have the function of traditional watches, but also have the function of monitoring physiological information of users and intelligent functions such as sleeping states, calls, videos and the like. However, due to the space limitation in the electronic apparatus 100, the performance of the detection device 10 installed in the electronic apparatus 100 is limited, the area of the electronic apparatus 100 attached to the user is small, and in addition, when the detection device 10 in the electronic apparatus 100 is used for a long time, the sensor in the detection device 10 is often drifted, so that the accuracy of analyzing the health state of the user by only depending on the health data of the user collected by the electronic apparatus 100 is low.
The wearable device 300, which is an accessory of the electronic apparatus 100, may be in the form of a smart watch band in the present embodiment. Because the wrist of laminating user that the smart watch strap can be better for thereby can install the powerful detecting element 31 of function on wearable equipment 300 and have more powerful detection function in order to detect relevant health data specially, just compare in electronic device 100, wearable equipment 300's consumption is higher, if rely on wearable equipment 300 to detect user's health data all the time, resynchronize to electronic device 100, can make electronic device 100 and wearable equipment 300's continuation of the journey unable assurance.
Therefore, the method provided by the present application may be used to enable the electronic device 100 to selectively wake up the wearable apparatus 300 for health data detection, so that the accuracy of the health data detected by the electronic device 100 can be ensured, and the endurance of the electronic device 100 and the wearable apparatus 300 can be ensured at the same time.
Specifically, in step S10, the processor 12 in the electronic apparatus 100 may acquire first health data of the user detected by the detection device 10 acquired by the electronic apparatus 100, wherein the first health data may be a value that a heart rate value, a blood pressure value, a blood oxygen saturation and the like of the user may reflect the health condition of the user to some extent, that is, the health data may be in the presence of a plurality of items.
In step S20, the preset criterion may be a medically recognized normal range of the first health data, that is, when the first health data meets the preset criterion, it is determined that the first health data of the user is not abnormal, and when the first health data does not meet the preset criterion, it is determined that the first health data is possibly abnormal.
Since the first health data may be such that there are a plurality of items, the preset criterion is different depending on the different items of the first health data acquired in step S10. For example, when the wearable device 300 measures the heart rate of the user in a resting state, the preset criterion is that the first health data is in a range of more than 50 times/min and less than 100 times/min; when the wearable device 300 measures the blood pressure value of the user, the preset standards are that the first health data representing the systolic pressure of the user is in a range of more than 90mmHg and less than 14mmHg0, and the first health data representing the diastolic pressure of the user is in a range of more than 60mmHg and less than 90 mmHg; when the wearable device 300 measures the blood oxygen saturation of the user, the preset criterion then becomes when the first health data is in a range of more than 90%.
It can be easily understood that the above three scenarios are only exemplary and are not limiting for the first health data and the preset criteria. In practical situations, the first health data has a plurality of items, and the preset standard is determined according to a certain first health data measured specifically.
When the first health data obtained in step S10 does not meet the preset standard, indicating that there is a possible abnormality in the physiological indicator of the user, but the abnormality in the first health data caused by the abnormality of the detection device 10 of the electronic apparatus 100 cannot be excluded, then the electronic apparatus 100 may obtain the second health data measured on the wearable device 300 by the processor 12, and then compare the difference between the first health data and the second health data for subsequent processing.
The manner of acquiring the second health data may be via bluetooth communication, which is a low-cost short-range wireless technology connection for establishing a communication environment for the mobile device. In particular, Bluetooth may be Bluetooth Low Energy (BLE), which may significantly reduce power consumption and cost while maintaining an equivalent communication range compared to classic Bluetooth. Of course, the communication mode may be other wireless communication modes such as Zigbee.
In step S30, when the second health data acquired by the wearable device 300 is acquired according to step S20, the deviation between the first health data and the second health data may be analyzed, and when it is determined that the deviation between the first health data and the second health data is not within the preset range, it may be considered that the detection device 10 on the electronic apparatus 100 is abnormal, so as to perform failure processing on the measured first health data, and at this time, the electronic apparatus 100 may be calibrated with the second health data as a reference.
In particular, the preset range may be set according to actual needs, for example, the preset range may be set such that the deviation of the first health data from the second health data is within 0-20%.
In the interaction method, the interaction device 200, and the wearable device 300 of the embodiment of the application, when the first health data does not meet the preset standard, the wearable device 300 is awakened to perform detection to obtain the second health data, then the first health data and the second health data are compared, and when the deviation between the first health data and the second health data is not within the preset range, the electronic device 100 is calibrated by the second health data, so that the detection accuracy of the electronic device 100 is improved, the number of times of data transmission between the electronic device 100 and the wearable device 300 is reduced, and additional power consumption between the electronic device 100 and the wearable device 300 is avoided.
Referring to fig. 4, in some embodiments, when the first health data does not meet the predetermined criterion, the second health data of the wearable device 300 is acquired (step S20), which includes:
step S21: and controlling the wearable device 300 to run the detection function to acquire the second health data.
In some embodiments, the obtaining module 21 is configured to control the wearable device 300 to operate the detection function to obtain the second health data.
In some embodiments, the processor 12 is configured to control the wearable device 300 to operate the detection function to obtain the second health data.
Specifically, the wearable device 300 has a built-in detection unit 31 with higher functionality and higher detection accuracy than those of the electronic apparatus 100, and the electronic apparatus 100 and the wearable device 300 can communicate with each other through bluetooth connection.
Then, in step S21, when the first health data collected by the electronic apparatus 100 does not meet the preset standard, the electronic apparatus 100 wakes up the wearable device 300 through the bluetooth connection control, and causes the detection unit 31 built in the wearable device 300 to start operating to perform the detection function, so that the wearable device 300 can detect and collect the second health data, and then the electronic apparatus 100 can control the wearable device 300 to transmit the second health data to itself through the bluetooth communication, so that the second health data can be acquired.
In this way, the detection unit 31 on the wearable device 300 is only woken up by the electronic apparatus 100 at a specific moment to perform the detection function, and the electronic apparatus 100 can conveniently interact with the wearable device 300 through a wireless communication manner, i.e., bluetooth communication.
Referring to fig. 5, in some embodiments, the interaction method may further include:
step S40: when the deviation of the first health data and the second health data is within the preset range, the wearable device 300 is kept in the sleep state, and the electronic device 100 is controlled to continue to operate.
In some embodiments, the interaction device 200 further includes a control module 23, and the control module 23 is configured to maintain the wearable device 300 in the sleep state and control the electronic device 100 to continue to operate when the deviation between the first health data and the second health data is within a preset range.
In some embodiments, the processor 12 is configured to keep the wearable device 300 in the sleep state and control the electronic apparatus 100 to continue to operate when the deviation between the first health data and the second health data is within a preset range.
Specifically, for the purpose of saving power consumption of the electronic device 100 and the wearable apparatus 300, in step S40, when it is determined that the deviation between the first health data and the second health data is within the preset range, the detection device 10 of the electronic device 100 is considered to be in a normal operating state, and at this time, the first health data is considered to be valid, which indicates that the physiological index of the corresponding item of the user is abnormal at this time.
The first health data may be further processed by other applications in the electronic device 100, such as saving the first health data, plotting the first health data, and issuing an early warning prompt.
Further, when the deviation between the first health data and the second health data is within the preset range, it also indicates that the electronic device 100 may continue to operate the built-in detection device 10 to detect the physiological index of the user, and at this time, to save power consumption, the processor 12 controls the detection unit 31 in the wearable device 300 to stop working, and makes the wearable device 300 in a sleep state.
Thus, through comparing the deviation of the first health data and the second health data, and comparing the deviation with the preset range, different modes are adopted for processing, so that the data accuracy detected by the electronic device 100 is guaranteed, and meanwhile, the power consumption of the electronic device 100 and the wearable device 300 is also saved.
Referring to fig. 6, in some embodiments, calibrating the electronic device 100 with the second health data (step S30) includes:
step S31: communicate with the wearable device 300 to receive second health data;
step S32: the detection device 10 of the electronic apparatus 100 is calibrated according to the second health data.
In some embodiments, the calibration module 22 is configured to communicate with the wearable device 300 to receive the second health data, and to calibrate the detection apparatus 10 of the electronic device 100 according to the second health data.
In some embodiments, the processor 12 is configured to communicate with the wearable device 300 to receive the second health data, and to calibrate the detection apparatus 10 of the electronic device 100 according to the second health data.
Specifically, in step S31, the electronic apparatus 100 may perform wireless transmission with the wearable device 300 by using bluetooth communication, so as to receive the second health data sent by the wearable device 300. In step S32, the way to calibrate the detection device 10 may be: and according to the second health data, performing data compensation on the first health data detected by the detection device 10 of the electronic device 100, so as to calibrate the first health data with larger deviation, thereby achieving the purpose of calibrating the detection device 10 of the electronic device 100.
In this way, by comparing the deviation between the first health data and the second health data, and performing a calibration measure such as compensation on the first health data according to the received second health data when the deviation is not within the preset range, the detection device 10 of the electronic apparatus 100 can be calibrated.
Referring to fig. 7, in some embodiments, the interaction method may further include:
step S50: when the first health data meets the preset standard, the wearable device 300 is kept in the sleep state, and the electronic device 100 is controlled to continue to operate.
In some embodiments, step S50 may be implemented by the control module 23, that is, the control module 23 is configured to keep the wearable device 300 in the sleep state and control the electronic apparatus 100 to continue to operate when the first health data meets the preset criterion.
In some embodiments, the processor 12 is configured to keep the wearable device 300 in the sleep state and control the electronic apparatus 100 to continue to operate when the first health data meets the preset criterion.
Specifically, after processing in step S10, in step S50, when the first health data is determined to meet the preset standard, in order to save power consumption of the electronic device 100 and the wearable device 300, the wearable device 300 in the sleep state may be controlled to remain in sleep, and the electronic device 100 may continue to operate until the acquired first health data does not meet the preset standard, and the electronic device 100 performs further processing.
In this way, by keeping the wearable device 300 in the dormant state when the first health data meets the preset standard, the power consumption of the wearable device 300 can be saved, and the endurance of the wearable device 300 can be improved; controlling the electronic apparatus 100 to continue to operate may enable the detection device 10 in the electronic apparatus 100 to detect the physiological indicator of the user in real time.
The present embodiments provide a non-transitory computer-readable storage medium storing a computer program, which, when executed by one or more processors 12, causes the processors 12 to execute the interaction method of any one of the above embodiments.
For example, when the computer program is executed by the processor 12, the processor 12 may perform the steps of:
step S10: acquiring first health data acquired by the electronic device 100;
step S20: when the first health data do not meet the preset standard, acquiring second health data of the wearable device 300;
step S30: when the deviation of the first health data and the second health data is not within the preset range, the electronic device 100 is calibrated by the second health data.
Specifically, in the interaction method provided by the present application, via step S10, the processor 12 may obtain first health data acquired by the electronic device 100; in step S20, when determining that the first health data does not meet the preset standard, the electronic apparatus 100 wakes the detection unit 31 in the wearable device 300 to perform a detection function, and then obtains the second health data collected by the wearable device 300 by means of bluetooth communication; via step S30, when it is determined that the deviation between the first health data and the second health data is not within the preset range, i.e. the deviation is too large, the detection device 10 of the electronic apparatus 100 may be calibrated according to the received second health data.
In addition, in the interaction method, the deviation between the first health data and the second health data may be compared in step S40, and when the deviation is within the preset range, the wearable device 300 is controlled to sleep, and the electronic device 100 continues to operate; and through step S50, when the first health data acquired through step S10 meets the preset criteria, the wearable device 300 is kept in the sleep state, and the electronic apparatus 100 continues to operate.
Therefore, the wearable device 300 can be awakened to perform the detection function at a proper time, so that the data accuracy detected by the electronic device 100 is guaranteed, the power consumption of the electronic device 100 and the power consumption of the wearable device 300 are saved, and the endurance of the electronic device 100 and the wearable device 300 is improved.
Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program instructing associated hardware. The computer program may be stored in a non-transitory computer readable storage medium, which when executed may include the flow of embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
In the description herein, references to the description of the terms "one embodiment," "certain embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: numerous changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the application, the scope of which is defined by the claims and their equivalents.
Claims (12)
1. An interaction method, characterized in that the interaction method comprises:
acquiring first health data acquired by an electronic device;
when the first health data do not meet the preset standard, second health data of the wearable device are obtained;
when the deviation of the first health data and the second health data is not within a preset range, the electronic device is calibrated by the second health data.
2. The interaction method of claim 1, wherein the obtaining second health data of the wearable device when the first health data does not meet a preset standard comprises:
controlling the wearable device to run a detection function to acquire the second health data.
3. The interaction method according to claim 1, characterized in that it comprises:
when the deviation of the first health data and the second health data is within a preset range, the wearable equipment is kept in a dormant state, and the electronic device is controlled to continue to operate.
4. The interactive method of claim 1, wherein the calibrating the electronic device with the second health data comprises:
communicating with the wearable device to receive the second health data;
calibrating a detection device of the electronic apparatus according to the second health data.
5. The interaction method according to claim 1, characterized in that it comprises:
when the first health data meet the preset standard, the wearable device is kept in a dormant state, and the electronic device is controlled to continue to operate.
6. An interaction apparatus, characterized in that the interaction apparatus comprises:
the acquisition module is used for acquiring first health data acquired by an electronic device and acquiring second health data of the wearable equipment when the first health data do not meet a preset standard;
the calibration module is used for calibrating the electronic device according to the second health data when the deviation between the first health data and the second health data is not within a preset range.
7. An electronic apparatus, characterized in that the electronic apparatus comprises a detection device and a processor; the detection device is used for detecting first health data; the processor is used for acquiring first health data acquired by an electronic device, acquiring second health data of the wearable device when the first health data do not meet a preset standard, and calibrating the electronic device with the second health data when the deviation of the first health data and the second health data is not within a preset range.
8. The electronic device of claim 7, wherein the processor is configured to control the wearable apparatus to operate a detection function to obtain the second health data.
9. The electronic device of claim 7, wherein the processor is configured to keep the wearable device in a sleep state and control the electronic device to continue to operate when the deviation between the first health data and the second health data is within a preset range.
10. The electronic device of claim 7, wherein the processor is configured to communicate with the wearable apparatus to receive the second health data, and to calibrate a detection apparatus of the electronic device based on the second health data.
11. The electronic device of claim 7, wherein the processor is configured to maintain the wearable apparatus in a sleep state and control the electronic device to continue to operate when the first health data meets the preset criterion.
12. A non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, implements the interaction method of any one of claims 1-5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110326017.6A CN115120183A (en) | 2021-03-26 | 2021-03-26 | Interaction method, interaction device, electronic device and storage medium |
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| CN202110326017.6A CN115120183A (en) | 2021-03-26 | 2021-03-26 | Interaction method, interaction device, electronic device and storage medium |
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| CN115120183A true CN115120183A (en) | 2022-09-30 |
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