CN113892920B - Wearing detection method and device of wearable equipment and electronic equipment - Google Patents

Wearing detection method and device of wearable equipment and electronic equipment Download PDF

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CN113892920B
CN113892920B CN202010641297.5A CN202010641297A CN113892920B CN 113892920 B CN113892920 B CN 113892920B CN 202010641297 A CN202010641297 A CN 202010641297A CN 113892920 B CN113892920 B CN 113892920B
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wearing
wearable device
wearing state
user
wear
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CN113892920A (en
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张孝甜
陈勇
聂帅
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Huawei Technologies Co Ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • AHUMAN NECESSITIES
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
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    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements 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
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J50/00Circuit arrangements or systems for wireless supply or distribution of electric power
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    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
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Abstract

The application relates to the technical field of intelligent wearable equipment and provides a wearable equipment wearing detection method, a wearable equipment wearing detection device and electronic equipment. The wearing detection method of the wearable device is applied to the wearable device and comprises the following steps: the wearable device obtains one or more physiological parameter data; the wearable device obtains the wearing state of the wearable device according to the one or more physiological parameter data; and the wearable equipment pushes the wearing suggestion according to the wearing state. According to the method and the device for the wearable equipment, the wearing suggestion is given to the user according to the verification result of the wearing state, the user can be guided to wear the wearable equipment correctly, and the accuracy of subsequent data acquisition is improved.

Description

Wearing detection method and device of wearable equipment and electronic equipment
Technical Field
The application relates to the technical field of intelligent wearable equipment, in particular to a wearable equipment wearing detection method and device and electronic equipment.
Background
Intelligent wearable devices represented by smart bracelets, watches, and the like are a new technological field. The smart wearable device may track the user's daily activities, sleep conditions, eating habits, etc.
User data collected by the intelligent wearable device can be synchronized with the iOS device, android (Android) device, a cloud platform and the like, so that a user can know and improve the health condition of the user, and movement data are obtained.
In general, the intelligent wearable device judges the health, movement and other conditions of the user by detecting real-time or some time data of the user.
However, when the intelligent wearing equipment such as a bracelet or a watch is used for collecting user data, the measurement result is affected by the wearing mode, for example, more than 15% of detection failures in heart health research are caused by wearing errors, and when the user wears the wearing equipment, the user cannot judge whether to wear the intelligent wearing equipment correctly or not sometimes.
Disclosure of Invention
The embodiment of the application provides a wearing detection method of wearable equipment, which can solve the problem of insufficient wearing detection accuracy in the related technology.
In a first aspect, an embodiment of the present application provides a wear detection method of a wearable device, applied to the wearable device, the wear detection method including: the wearable device obtains one or more physiological parameter data; the wearable device obtains the wearing state of the wearable device according to the one or more physiological parameter data; and the wearable equipment pushes the wearing suggestion according to the wearing state.
According to the embodiment of the first aspect, the wearing state is obtained according to one or more pieces of physiological parameter data obtained by the wearable device, and then the wearing suggestion is pushed to the user according to the wearing state. In one aspect, the wearing state is verified according to one or more physiological parameter data, so that more application scenarios can be adapted. When the wearing state is verified by adopting a plurality of physiological parameter data, the accuracy of the wearing verification result is improved by utilizing the information of a plurality of dimensions. On the other hand, the wearing suggestion is given to the user according to the wearing verification result, so that the user can be guided to wear the wearable equipment correctly, and the accuracy of subsequent data acquisition is improved.
It should be understood that, in some embodiments of the present application, the wear detection method of the wearable device provided in the first aspect may also be applied to an electronic device that establishes a wireless communication connection with a wearable device. As an example, an electronic device such as a cell phone or tablet computer, etc.
In a possible implementation manner of the first aspect, the wearable device pushes a wearing suggestion according to the wearing state, including:
if the wearable device determines that the wearing state meets a first condition, pushing a wearing suggestion according to the wearing state;
The wear detection method further comprises:
and if the wearable equipment determines that the wearing state meets a second condition, not pushing the wearing suggestion.
In the implementation manner, the wearable device determines that the wearing state meets a certain condition, namely the wearing suggestion is pushed only by the first condition; the wearable device determines that the wearing state meets a certain condition, namely that the wearing advice is not pushed by the second condition. The wearable device can not push the wearing suggestions to the user every time the wearing state is obtained, so that the frequency of pushing the wearing suggestions to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
In a possible implementation manner of the first aspect, the wearing state includes a wearing error or a wearing correctness;
the wearable device determining that the wearing state satisfies a first condition includes:
the wearable device determines that the wearing state is the wearing error, and the accumulated times of the wearing state are equal to or greater than a preset times threshold value, or determines that the wearing state is the wearing error;
the wearable device determining that the wearing state satisfies a second condition includes:
the wearable device determines that the wearing state is that the accumulated number of times of wearing errors is smaller than the preset number of times threshold, or determines that the wearing state is correct.
In the implementation manner, the wearable device determines that the wearing state is that the accumulated number of wearing errors is equal to or greater than a preset number of times threshold, and then the wearing advice is pushed, otherwise, the wearing advice is not pushed. The wearable device can not push the wearing suggestion to the user when detecting the wearing error every time, so that the frequency of pushing the wearing suggestion to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
In a possible implementation manner of the first aspect, the wearable device pushes a wearing suggestion according to the wearing state, including:
the wearable equipment determines that the wearing state is the wearing dislocation, and pushes the wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
the wearable device determines that the wearing state is too loose, and pushes the wearing suggestion of the tightening device.
In the implementation mode, the wearable device determines that the wearing state is the wearing dislocation or the wearing is too loose, and pushes the corresponding wearing suggestion, so that a user can be guided to adjust the wearing state more pertinently, and the accuracy of subsequent measurement is improved.
In a possible implementation manner of the first aspect, the wearable device obtains a wearing state of the wearable device according to one physiological parameter data, including:
The wearable device determines a first abnormal time period when abnormality occurs in physiological parameter data;
and if the duration of the first abnormal time period is equal to or longer than a first preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In the implementation mode, a quantitative mode of how to acquire the wearing state of the wearable equipment according to one physiological parameter data is provided, so that the calculation cost is low, and the scheme is easy to implement.
In a possible implementation manner of the first aspect, the wearable device obtains a wearing state of the wearable device according to a plurality of physiological parameter data, including:
the wearable device determines a second abnormal time period in which a plurality of physiological parameter data are abnormal at the same time;
and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In the implementation manner, a quantitative manner of how to acquire the wearing state of the wearable device according to a plurality of physiological parameter data is provided, so that the calculation cost is low, and the scheme is easy to implement. In addition, the time period that a plurality of physiological parameter data are abnormal at the same time is considered, the threshold value of the duration time is set, and the accuracy of the wearing verification result is ensured.
In a possible implementation manner of the first aspect, the wearable device includes a sensor for acquiring the plurality of physiological parameter data. As an example, the sensor may be an optical sensor.
In this implementation, since the physiological parameter data for verifying the wearing state originate from the same hardware, the correlation degree between different physiological parameter data is very high. The change in the wearing state of the wearable device will be simultaneously reflected in different physiological parameter data. That is, an erroneous wearing state will result in simultaneous anomalies in the physiological parameter data. Therefore, in the implementation mode, the wearing state of the wearable device is checked based on the physiological parameter data acquired by the same hardware, so that the wearing check result is more accurate.
In one possible implementation of the first aspect, the one or more physiological parameter data includes one or more of heart rate data, blood oxygen data, and blood pressure data.
In a possible implementation manner of the first aspect, the wear detection method further includes:
the wearable device pushes a query confirming a wearing state;
and the wearable equipment responds to the received first operation input by the user and pushes the wearing instruction corresponding to the wearing state.
In the implementation mode, the wearable device checks the wearing state, pushes the wearing suggestion on one hand, and on the other hand, combines user confirmation, and pushes the wearing description corresponding to the wearing state after the user confirms whether the detected wearing error behavior exists.
In a possible implementation manner of the first aspect, the pushing, by the wearable device, a query confirming a wearing state includes: the wearable device pushes a query of whether to wear the wearable device.
In the implementation manner, considering that under the normal condition, a user can accurately confirm whether the user wears the wearable device, the wearable device pushes the query whether the user wears the wearable device or not, and the wearing description can be pushed in a targeted manner on the basis of determining that the wearable device is in a worn state, so that the user is guided to wear the wearable device efficiently and accurately.
In one possible implementation of the first aspect, the wear error includes a misplacement or an over-loose wear.
In a possible implementation manner of the first aspect, the wear detection method further includes:
the wearable equipment determines that the wearing state is correct to wear, and does not push the wearing suggestion
In a possible implementation manner of the first aspect, the wearable device obtains one or more physiological parameter data, including:
the wearable device determines to be worn by a user, obtains one or more physiological parameter data.
In practical applications, the wearable device may include a sensor that may be used to detect whether the wearable device is worn by a user. Based on detection data derived from these sensors, it may be determined whether the wearable device is worn by the user.
In the implementation manner, the wearing state is checked again on the basis of determining that the wearable device is worn by the user, so that the calculation cost can be saved.
In some examples, the wearable device includes at least one of a proximity light sensor, a distance sensor, a pressure sensor, a temperature sensor, and a resistance sensor. Based on the detection signals derived from them, it may be determined whether the wearable device is worn by the user.
In a second aspect, corresponding to the wearing detection method of the wearable device provided in the first aspect, an embodiment of the present application provides a wearing detection device of the wearable device, configured in the wearable device, the wearing detection device includes:
an acquisition module for acquiring one or more physiological parameter data;
The verification module is used for acquiring the wearing state of the wearable equipment according to the one or more physiological parameter data;
and the pushing module is used for pushing the wearing suggestion according to the wearing state.
In a possible implementation manner of the second aspect, the pushing module is specifically configured to:
if the wearing state is determined to meet the first condition, pushing a wearing suggestion according to the wearing state;
and if the wearing state meets the second condition, not pushing the wearing suggestion.
In a possible implementation manner of the second aspect, the wearing state includes a wearing error or a wearing correctness;
determining that the wearing state meets a first condition comprises that the wearing state is that the accumulated number of wearing errors is equal to or greater than a preset number threshold, or determining that the wearing state is the wearing errors;
determining that the wearing state satisfies a second condition includes: and determining that the wearing state is that the accumulated number of wearing errors is smaller than the preset number threshold, or determining that the wearing state is correct.
In a possible implementation manner of the second aspect, the pushing module is specifically configured to:
determining the wearing state as wearing dislocation, and pushing a wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
And determining the wearing state as being too loose, and pushing the wearing suggestion of the tightening equipment.
In a possible implementation manner of the second aspect, the verification module includes: a first verification sub-module for obtaining the wearing state of the wearable device according to one physiological parameter data and/or a second verification sub-module for obtaining the wearing state of the wearable device according to a plurality of physiological parameter data,
the first verification sub-module is specifically configured to:
determining a first abnormal time period when abnormality occurs in physiological parameter data;
if the duration of the first abnormal time period is equal to or longer than a first preset duration, determining that the wearing state of the wearable equipment is a wearing error;
the second checking sub-module is specifically configured to:
determining a second abnormal time period in which a plurality of physiological parameter data are abnormal at the same time;
and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In a possible implementation manner of the second aspect, the wear detection apparatus further includes a query module, where the query module is configured to push a query about whether to wear the wearable device.
In one possible implementation of the second aspect, the one or more physiological parameter data includes one or more of heart rate data, blood oxygen data, and blood pressure data.
In a possible implementation manner of the second aspect, the acquiring module is specifically configured to:
determining that the wearable device is worn by a user, obtaining one or more physiological parameter data.
It will be appreciated that the benefits of the second aspect described above may be seen from the relevant description of the first aspect described above.
In a third aspect, an embodiment of the present application provides a wear detection method of a wearable device, applied to an electronic device and the wearable device, where the electronic device is connected with the wearable device through a wireless communication technology, the wear detection method includes:
the wearable device obtains one or more physiological parameter data;
the electronic equipment receives one or more pieces of physiological parameter data sent by the wearable equipment, and acquires the wearing state of the wearable equipment according to the one or more pieces of physiological parameter data;
and pushing the wearing suggestion by the electronic equipment according to the wearing state.
According to the embodiment of the third aspect, the electronic device obtains the wearing state according to one or more pieces of physiological parameter data sent by the wearable device, and then pushes the wearing suggestion to the user according to the wearing state. In one aspect, the wearing state is verified according to one or more physiological parameter data, so that more application scenarios can be adapted. When the wearing state is verified by adopting a plurality of physiological parameter data, the accuracy of the wearing verification result is improved by utilizing the information of a plurality of dimensions. On the other hand, the wearing suggestion is given to the user according to the wearing verification result, so that the user can be guided to wear the wearable equipment correctly, and the accuracy of subsequent data acquisition is improved.
In a possible implementation manner of the third aspect, the pushing, by the electronic device, a wearing suggestion according to the wearing state includes:
if the electronic equipment determines that the wearing state meets a first condition, pushing a wearing suggestion according to the wearing state;
the wear detection method further comprises:
and if the electronic equipment determines that the wearing state meets the second condition, not pushing the wearing suggestion.
In the implementation mode, the electronic equipment determines that the wearing state meets a certain condition and then pushes the wearing suggestion, the electronic equipment cannot push the wearing suggestion to the user every time the wearing state is acquired, the frequency of pushing the wearing suggestion to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
In a possible implementation manner of the third aspect, the wearing state includes a wearing error or a wearing correctness;
the electronic device determining that the wearing state meets a first condition includes:
the electronic equipment determines that the wearing state is the wearing error, and the accumulated times of the wearing state are equal to or greater than a preset times threshold value, or determines that the wearing state is the wearing error;
the electronic device determining that the wearing state satisfies a second condition includes:
And the electronic equipment determines that the wearing state is that the accumulated number of wearing errors is smaller than the preset number threshold, or the electronic equipment determines that the wearing state is correct.
In this implementation manner, the electronic device determines that the wearing state is that the cumulative number of wearing errors is equal to or greater than a preset number of times threshold, and then pushes the wearing suggestion. The electronic equipment can not push the wearing suggestion to the user when detecting the wearing error every time, so that the frequency of pushing the wearing suggestion to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
In a possible implementation manner of the third aspect, the pushing, by the electronic device, a wearing suggestion according to the wearing state includes:
the electronic equipment determines that the wearing state is the wearing dislocation, and pushes the wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
and the electronic equipment determines that the wearing state is too loose, and pushes the wearing suggestion of the tightening equipment.
In the implementation mode, the wearing state is determined to be the wearing dislocation or the wearing looseness, the corresponding wearing advice is pushed, the user can be guided to adjust the wearing state more pertinently, and the accuracy of subsequent measurement is improved.
In a possible implementation manner of the third aspect, the acquiring the wearing state of the wearable device according to one physiological parameter data includes:
determining a first abnormal time period when abnormality occurs in physiological parameter data;
and if the duration of the first abnormal time period is equal to or longer than a first preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In the implementation mode, a quantitative mode of how to acquire the wearing state of the wearable equipment according to one physiological parameter data is provided, so that the calculation cost is low, and the scheme is easy to implement.
In a possible implementation manner of the third aspect, the acquiring the wearing state of the wearable device according to the plurality of physiological parameter data includes:
determining a second abnormal time period in which a plurality of physiological parameter data are abnormal at the same time;
and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In the implementation manner, a quantitative manner of how to acquire the wearing state of the wearable device according to a plurality of physiological parameter data is provided, so that the calculation cost is low, and the scheme is easy to implement. In addition, the time period that a plurality of physiological parameter data are abnormal at the same time is considered, the threshold value of the duration time is set, and the accuracy of the wearing verification result is ensured.
In a possible implementation manner of the third aspect, the wearable device includes a sensor for acquiring the plurality of physiological parameter data. As an example, the sensor may be an optical sensor.
In this implementation, since the physiological parameter data for verifying the wearing state originate from the same hardware, the correlation degree between different physiological parameter data is very high. The change in the wearing state of the wearable device will be simultaneously reflected in different physiological parameter data. That is, an erroneous wearing state will result in simultaneous anomalies in the physiological parameter data. Therefore, in the implementation mode, the wearing state of the wearable device is checked based on the physiological parameter data acquired by the same hardware, so that the wearing check result is more accurate.
In a possible implementation manner of the third aspect, the one or more physiological parameter data includes one or more of heart rate data, blood oxygen data, and blood pressure data.
In a possible implementation manner of the third aspect, the wear detection method further includes:
the electronic equipment pushes a query for confirming the wearing state;
and the electronic equipment responds to the received first operation input by the user and pushes the wearing description corresponding to the wearing state.
In the implementation mode, the electronic equipment checks the wearing state, pushes the wearing suggestion on one hand, and pushes the wearing description corresponding to the wearing state after combining with user confirmation, wherein the user confirms whether the detected wearing error behavior exists or not.
In a possible implementation manner of the third aspect, the pushing, by the electronic device, a query for confirming a wearing state includes: the electronic device pushes a query of whether to wear the wearable device.
In the implementation manner, considering that under the normal condition, a user can accurately confirm whether the user wears the wearable device, so that the electronic device pushes the query of whether the user wears the wearable device to the user, and the wearing description can be pushed in a targeted manner on the basis of determining whether the wearable device is worn or not, so that the user is guided to wear the wearable device efficiently and accurately.
In a possible implementation manner of the third aspect, the wearing error includes a wearing dislocation or a wearing too loose.
In a possible implementation manner of the third aspect, the wear detection method further includes:
and if the electronic equipment determines that the wearing state is correct, the wearing suggestion is not pushed.
In a possible implementation manner of the third aspect, the wearable device obtains one or more physiological parameter data, including:
The wearable device determines to be worn by a user, obtains one or more physiological parameter data.
In practical applications, the wearable device may include a sensor that may be used to detect whether the wearable device is worn by a user. Based on detection data derived from these sensors, it may be determined whether the wearable device is worn by the user.
In the implementation manner, the wearing state is checked again on the basis of determining that the wearable device is worn by the user, so that the calculation cost can be saved.
In some examples, the wearable device includes at least one of a proximity light sensor, a distance sensor, a pressure sensor, a temperature sensor, and a resistance sensor. Based on the detection signals derived from them, it may be determined whether the wearable device is worn by the user.
In a fourth aspect, an embodiment of the present application provides a wear detection system of a wearable device, including an electronic device and a wearable device, where the electronic device is connected to the wearable device through a wireless communication technology, and the wearable device is configured to obtain one or more physiological parameter data;
the electronic device is used for: receiving one or more pieces of physiological parameter data sent by the wearable device, and acquiring the wearing state of the wearable device according to the one or more pieces of physiological parameter data; pushing the wearing advice according to the wearing state.
In a possible implementation manner of the fourth aspect, the electronic device is configured to: if the wearing state is determined to meet the first condition, pushing a wearing suggestion according to the wearing state;
the electronic device is further configured to: and if the wearing state meets the second condition, not pushing the wearing suggestion.
In a possible implementation manner of the fourth aspect, the wearing state includes a wearing error or a wearing correctness;
determining that the wearing state satisfies a first condition includes: determining that the wearing state is the wearing error, and the accumulated times of the wearing state is equal to or greater than a preset times threshold value, or determining that the wearing state is the wearing error;
determining that the wearing state satisfies a second condition includes:
and determining that the wearing state is that the accumulated number of wearing errors is smaller than the preset number threshold, or determining that the wearing state is correct.
In a possible implementation manner of the fourth aspect, the electronic device is configured to:
determining the wearing state as wearing dislocation, and pushing a wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
and determining the wearing state as being too loose, and pushing the wearing suggestion of the tightening equipment.
In a possible implementation manner of the fourth aspect, the electronic device is configured to obtain a wearing state of the wearable device according to one physiological parameter data, including:
The electronic equipment is used for determining a first abnormal time period when abnormality occurs in physiological parameter data; and if the duration of the first abnormal time period is equal to or longer than a first preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In a possible implementation manner of the fourth aspect, the electronic device is configured to obtain a wearing state of the wearable device according to a plurality of physiological parameter data, including:
the electronic equipment is used for determining a second abnormal time period for which a plurality of physiological parameter data are abnormal at the same time; and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In a possible implementation manner of the fourth aspect, the wearable device includes a sensor, and the wearable device collects the one or more physiological parameter data through the sensor.
As an example, the sensor may be an optical sensor.
In a possible implementation manner of the fourth aspect, the one or more physiological parameter data includes one or more of heart rate data, blood oxygen data, and blood pressure data.
In a possible implementation manner of the fourth aspect, the electronic device is further configured to:
pushing a query confirming the wearing state; and pushing the wearing description corresponding to the wearing state in response to the received first operation input by the user.
In a possible implementation manner of the fourth aspect, the electronic device is configured to push a query for confirming a wearing state, including: the electronic device is used for pushing a query whether to wear the wearable device.
In a possible implementation manner of the fourth aspect, the wearing error includes a wearing dislocation or a wearing too loose.
In a possible implementation manner of the fourth aspect, the electronic device is further configured to: if the wearing state is determined to be correct, the wearing suggestion is not pushed.
In a possible implementation manner of the fourth aspect, the wearable device is configured to obtain one or more physiological parameter data, including:
the wearable device is used for determining to be worn by a user and acquiring one or more physiological parameter data.
In some examples, the wearable device includes at least one of a proximity light sensor, a distance sensor, a pressure sensor, a temperature sensor, and a resistance sensor. Based on the detection signals derived from them, it may be determined whether the wearable device is worn by the user.
It will be appreciated that the benefits of the fourth aspect described above may be seen from the relevant description of the third aspect described above.
In a fifth aspect, embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, when executing the computer program, causing the electronic device to implement the method as in any one of the first aspect and the possible implementation manners of the first aspect.
In a sixth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements a method as in any one of the first aspect and the possible implementation manners of the first aspect.
In a seventh aspect, embodiments of the present application provide a computer program product, which when run on an electronic device, causes the electronic device to perform the method according to any one of the above-mentioned first aspect and possible implementations of the first aspect.
It will be appreciated that the benefits of the fifth to seventh aspects described above may be seen from the relevant description of the first aspect described above.
Drawings
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2A is an application scenario of a wear detection method of a wearable device according to an embodiment of the present application;
fig. 2B is another application scenario of the wear detection method of the wearable device provided in an embodiment of the present application;
fig. 2C is another application scenario of the wear detection method of the wearable device provided in an embodiment of the present application;
fig. 2D is a flowchart of a wear detection method of a wearable device according to an embodiment of the present application;
FIG. 3A is a user interface diagram of a method for detecting wear of a wearable device according to an embodiment of the present application;
FIG. 3B is another user interface schematic diagram of a wear detection method of a wearable device provided in an embodiment of the present application;
FIG. 4A is another user interface schematic diagram of a wear detection method of a wearable device provided in an embodiment of the present application;
FIG. 4B is another user interface schematic diagram of a wear detection method of a wearable device provided in an embodiment of the present application;
FIG. 5A is another user interface schematic diagram of a wear detection method of a wearable device provided in an embodiment of the present application;
FIG. 5B is another user interface schematic diagram of a wear detection method of a wearable device provided in an embodiment of the present application;
FIG. 6 is another user interface schematic diagram of a wear detection method of a wearable device provided in an embodiment of the present application;
FIG. 7 is another user interface schematic diagram of a wear detection method of a wearable device provided by an embodiment of the present application;
fig. 8A and 8B are another application scenario of the wearing detection method of the wearable device provided in an embodiment of the present application;
fig. 9 is another application scenario of the wear detection method of the wearable device provided in an embodiment of the present application;
fig. 10 is a flowchart of a wearing detection method of a wearable device according to an embodiment of the present application;
fig. 11 is a flowchart of a wearing detection method of a wearable device according to another embodiment of the present application;
fig. 12 is a flowchart of a wear detection method of a wearable device according to another embodiment of the present application;
fig. 13 is a flowchart of a wearing detection method of a wearable device according to another embodiment of the present application;
fig. 14 is a flowchart of a wear detection method of a wearable device according to another embodiment of the present application;
fig. 15 is a flowchart of a wear detection method of a wearable device according to another embodiment of the present application;
fig. 16 is a schematic structural diagram of a wear detection device of a wearable apparatus according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The terminology used in the following embodiments is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include, for example, "one or more" such forms of expression, unless the context clearly indicates to the contrary.
It should also be understood that in embodiments of the present application, "a number" and "one or more" refer to one, two, or more than two; "and/or", describes an association relationship of the association object, indicating that three relationships may exist; for example, a and/or B may represent: a alone, a and B together, and B alone, wherein A, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship.
The term "comprises/comprising" when used in this specification and the appended claims is taken to specify the presence of stated features, integers, steps, operations, elements, and/or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
As used in this specification and the appended claims, the term "if" may be construed as "when..once" or "in response to a determination" or "in response to detection" depending on the context.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In order to illustrate the technical solution of the present application, the following description is made by specific examples.
When intelligent wearing equipment such as a bracelet or a watch is used for collecting user data currently, a measurement result can be affected by a wearing mode. However, when wearing the smart wearable device, the user sometimes cannot determine whether to wear the smart wearable device correctly.
According to the wearing detection method of the wearable device, on the one hand, according to user measurement data, such as heart rate and/or blood oxygen, whether the user correctly wears the intelligent wearable device is effectively measured, and suggestions are given to the wearer according to measurement results so as to improve accuracy of subsequent measurement. On the other hand, automatic measurement of wear status is combined with user confirmation: the wearing state of the user is initially obtained by detecting the data such as blood oxygen, heart rate and the like uploaded by the user, and after the fact that the user does not wear correctly is detected, wearing suggestions are pushed to the user; the user confirms whether the detected wearing error behaviors exist or not, and the corresponding wearing instructions are pushed after the user confirms the wearing error behaviors.
The wearing detection method of the wearable device provided by the embodiment of the application can be applied to electronic devices, including but not limited to mobile phones, wearable devices, vehicle-mounted devices, augmented reality (augmented reality, AR)/Virtual Reality (VR) devices, notebook computers, ultra-mobile personal computer (UMPC), netbooks, personal digital assistants (personal digital assistant, PDA), intelligent sound boxes, television set-top boxes (STB), televisions, or the like. The embodiment of the application does not limit the specific type of the electronic device.
Fig. 1 shows a schematic configuration of an electronic device 100.
The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus, USB) interface 130, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, keys 190, a motor 191, an indicator 192, a camera 193, a display 194, and a subscriber identity module (subscriber identification module, SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.
It should be understood that the illustrated structure of the embodiment of the present invention does not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, electronic device 100 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
The processor 110 may include one or more processing units, such as: the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.
The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.
A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby improving the efficiency of the system.
In some embodiments, the processor 110 may include one or more interfaces. The interfaces may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous receiver transmitter (universal asynchronous receiver/transmitter, UART) interface, a mobile industry processor interface (mobile industry processor interface, MIPI), a general-purpose input/output (GPIO) interface, a subscriber identity module (subscriber identity module, SIM) interface, and/or a universal serial bus (universal serial bus, USB) interface, among others.
The I2C interface is a bi-directional synchronous serial bus comprising a serial data line (SDA) and a serial clock line (derail clock line, SCL). In some embodiments, the processor 110 may contain multiple sets of I2C buses. The processor 110 may be coupled to the touch sensor 180K, charger, flash, camera 193, etc., respectively, through different I2C bus interfaces. For example: the processor 110 may be coupled to the touch sensor 180K through an I2C interface, such that the processor 110 communicates with the touch sensor 180K through an I2C bus interface to implement a touch function of the electronic device 100.
The I2S interface may be used for audio communication. In some embodiments, the processor 110 may contain multiple sets of I2S buses. The processor 110 may be coupled to the audio module 170 via an I2S bus to enable communication between the processor 110 and the audio module 170. In some embodiments, the audio module 170 may transmit an audio signal to the wireless communication module 160 through the I2S interface, to implement a function of answering a call through the bluetooth headset.
PCM interfaces may also be used for audio communication to sample, quantize and encode analog signals. In some embodiments, the audio module 170 and the wireless communication module 160 may be coupled through a PCM bus interface. In some embodiments, the audio module 170 may also transmit audio signals to the wireless communication module 160 through the PCM interface to implement a function of answering a call through the bluetooth headset. Both the I2S interface and the PCM interface may be used for audio communication.
The UART interface is a universal serial data bus for asynchronous communications. The bus may be a bi-directional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, a UART interface is typically used to connect the processor 110 with the wireless communication module 160. For example: the processor 110 communicates with a bluetooth module in the wireless communication module 160 through a UART interface to implement a bluetooth function. In some embodiments, the audio module 170 may transmit an audio signal to the wireless communication module 160 through a UART interface, to implement a function of playing music through a bluetooth headset.
The MIPI interface may be used to connect the processor 110 to peripheral devices such as a display 194, a camera 193, and the like. The MIPI interfaces include camera serial interfaces (camera serial interface, CSI), display serial interfaces (display serial interface, DSI), and the like. In some embodiments, processor 110 and camera 193 communicate through a CSI interface to implement the photographing functions of electronic device 100. The processor 110 and the display 194 communicate via a DSI interface to implement the display functionality of the electronic device 100.
The GPIO interface may be configured by software. The GPIO interface may be configured as a control signal or as a data signal. In some embodiments, a GPIO interface may be used to connect the processor 110 with the camera 193, the display 194, the wireless communication module 160, the audio module 170, the sensor module 180, and the like. The GPIO interface may also be configured as an I2C interface, an I2S interface, a UART interface, an MIPI interface, etc.
The USB interface 130 is an interface conforming to the USB standard specification, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, or the like. The USB interface 130 may be used to connect a charger to charge the electronic device 100, and may also be used to transfer data between the electronic device 100 and a peripheral device. And can also be used for connecting with a headset, and playing audio through the headset. The interface may also be used to connect other electronic devices, such as AR devices, etc.
It should be understood that the interfacing relationship between the modules illustrated in the embodiments of the present invention is only illustrative, and is not meant to limit the structure of the electronic device 100. In other embodiments of the present application, the electronic device 100 may also use different interfacing manners, or a combination of multiple interfacing manners in the foregoing embodiments.
The charge management module 140 is configured to receive a charge input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charge management module 140 may receive a charging input of a wired charger through the USB interface 130. In some wireless charging embodiments, the charge management module 140 may receive wireless charging input through a wireless charging coil of the electronic device 100. The charging management module 140 may also supply power to the electronic device through the power management module 141 while charging the battery 142.
The power management module 141 is used for connecting the battery 142, and the charge management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charge management module 140 to power the processor 110, the internal memory 121, the display 194, the camera 193, the wireless communication module 160, and the like. The power management module 141 may also be configured to monitor battery capacity, battery cycle number, battery health (leakage, impedance) and other parameters. In other embodiments, the power management module 141 may also be provided in the processor 110. In other embodiments, the power management module 141 and the charge management module 140 may be disposed in the same device.
The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, a modem processor, a baseband processor, and the like.
The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the electronic device 100 may be used to cover a single or multiple communication bands. Different antennas may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.
The mobile communication module 150 may provide a solution for wireless communication including 2G/3G/4G/5G, etc., applied to the electronic device 100. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (low noise amplifier, LNA), etc. The mobile communication module 150 may receive electromagnetic waves from the antenna 1, perform processes such as filtering, amplifying, and the like on the received electromagnetic waves, and transmit the processed electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can amplify the signal modulated by the modem processor, and convert the signal into electromagnetic waves through the antenna 1 to radiate. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be disposed in the processor 110. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be provided in the same device as at least some of the modules of the processor 110.
The modem processor may include a modulator and a demodulator. The modulator is used for modulating the low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used for demodulating the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low frequency baseband signal to the baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and then transferred to the application processor. The application processor outputs sound signals through an audio module (not limited to the speaker 170A, the receiver 170B, etc.), or displays images or video through the display screen 194. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be provided in the same device as the mobile communication module 150 or other functional module, independent of the processor 110.
The wireless communication module 160 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN) (e.g., wireless fidelity (wireless fidelity, wi-Fi) network), bluetooth (BT), global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field wireless communication technology (near field communication, NFC), infrared technology (IR), etc., as applied to the electronic device 100. The wireless communication module 160 may be one or more devices that integrate at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, modulates the electromagnetic wave signals, filters the electromagnetic wave signals, and transmits the processed signals to the processor 110. The wireless communication module 160 may also receive a signal to be transmitted from the processor 110, frequency modulate it, amplify it, and convert it to electromagnetic waves for radiation via the antenna 2.
In some embodiments, antenna 1 and mobile communication module 150 of electronic device 100 are coupled, and antenna 2 and wireless communication module 160 are coupled, such that electronic device 100 may communicate with a network and other devices through wireless communication techniques. The wireless communication techniques may include the Global System for Mobile communications (global system for mobile communications, GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC, FM, and/or IR techniques, among others. The GNSS may include a global satellite positioning system (global positioning system, GPS), a global navigation satellite system (global navigation satellite system, GLONASS), a beidou satellite navigation system (beidou navigation satellite system, BDS), a quasi zenith satellite system (quasi-zenith satellite system, QZSS) and/or a satellite based augmentation system (satellite based augmentation systems, SBAS).
In some embodiments, a wireless communication connection may be established between electronic devices through the wireless communication module 160, thereby enabling information interaction between the electronic devices. For example, the mobile phone establishes a bluetooth communication connection with the bracelet, and based on the bluetooth communication connection, the mobile phone obtains information collected by wearable devices such as the bracelet, the earphone, the finger ring or the glasses, such as physiological parameter data of the user, and the like.
The electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or change display information.
The display screen 194 is used to display images, videos, and the like. The display 194 includes a display panel. The display panel may employ a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED) or an active-matrix organic light-emitting diode (matrix organic light emitting diode), a flexible light-emitting diode (flex), a mini, a Micro led, a Micro-OLED, a quantum dot light-emitting diode (quantum dot light emitting diodes, QLED), or the like. In some embodiments, the electronic device 100 may include 1 or N display screens 194, N being a positive integer greater than 1.
The electronic device 100 may implement photographing functions through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.
The ISP is used to process data fed back by the camera 193. For example, when photographing, the shutter is opened, light is transmitted to the camera photosensitive element through the lens, the optical signal is converted into an electric signal, and the camera photosensitive element transmits the electric signal to the ISP for processing and is converted into an image visible to naked eyes. ISP can also optimize the noise, brightness and skin color of the image. The ISP can also optimize parameters such as exposure, color temperature and the like of a shooting scene. In some embodiments, the ISP may be provided in the camera 193.
The camera 193 is used to capture still images or video. The object generates an optical image through the lens and projects the optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (charge coupled device, CCD) or a Complementary Metal Oxide Semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, which is then transferred to the ISP to be converted into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into an image signal in a standard RGB, YUV, or the like format. In some embodiments, electronic device 100 may include 1 or N cameras 193, N being a positive integer greater than 1.
The digital signal processor is used for processing digital signals, and can process other digital signals besides digital image signals. For example, when the electronic device 100 selects a frequency bin, the digital signal processor is used to fourier transform the frequency bin energy, or the like.
Video codecs are used to compress or decompress digital video. The electronic device 100 may support one or more video codecs. In this way, the electronic device 100 may play or record video in a variety of encoding formats, such as: dynamic picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.
The NPU is a neural-network (NN) computing processor, and can rapidly process input information by referencing a biological neural network structure, for example, referencing a transmission mode between human brain neurons, and can also continuously perform self-learning. Applications such as intelligent awareness of the electronic device 100 may be implemented through the NPU, for example: image recognition, face recognition, speech recognition, text understanding, etc.
The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to enable expansion of the memory capabilities of the electronic device 100. The external memory card communicates with the processor 110 through an external memory interface 120 to implement data storage functions. For example, files such as music, video, etc. are stored in an external memory card.
The internal memory 121 may be used to store computer executable program code including instructions. The internal memory 121 may include a storage program area and a storage data area. The storage program area may store an application program (such as a sound playing function, an image playing function, etc.) required for at least one function of the operating system, etc. The storage data area may store data created during use of the electronic device 100 (e.g., audio data, phonebook, etc.), and so on. In addition, the internal memory 121 may include a high-speed random access memory, and may further include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (universal flash storage, UFS), and the like. The processor 110 performs various functional applications of the electronic device 100 and data processing by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor.
In an embodiment of the present application, the internal memory 121 or the external memory card stores a computer program that can be run on the processor 110, and when the processor 110 executes the computer program, the electronic device implements each step of the wearing detection method of the wearable device provided in the embodiment of the present application.
The electronic device 100 may implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playing, recording, etc.
The audio module 170 is used to convert digital audio information into an analog audio signal output and also to convert an analog audio input into a digital audio signal. The audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be disposed in the processor 110, or a portion of the functional modules of the audio module 170 may be disposed in the processor 110.
The speaker 170A, also referred to as a "horn," is used to convert audio electrical signals into sound signals. The electronic device 100 may listen to music, or to hands-free conversations, through the speaker 170A.
A receiver 170B, also referred to as a "earpiece", is used to convert the audio electrical signal into a sound signal. When electronic device 100 is answering a telephone call or voice message, voice may be received by placing receiver 170B in close proximity to the human ear.
In an embodiment of the present application, the electronic device may output the sound signal through the audio module 170, not limited to the speaker 170A, the receiver 170B, and the like. For example, a voice broadcast wearing notice and/or wearing instructions, or a voice broadcast wearing state confirmation reminder, etc.
Microphone 170C, also referred to as a "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or transmitting voice information, the user can sound near the microphone 170C through the mouth, inputting a sound signal to the microphone 170C. The electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, and may implement a noise reduction function in addition to collecting sound signals. In other embodiments, the electronic device 100 may also be provided with three, four, or more microphones 170C to enable collection of sound signals, noise reduction, identification of sound sources, directional recording functions, etc.
The earphone interface 170D is used to connect a wired earphone. The headset interface 170D may be a USB interface 130 or a 3.5mm open mobile electronic device platform (open mobile terminal platform, OMTP) standard interface, a american cellular telecommunications industry association (cellular telecommunications industry association of the USA, CTIA) standard interface.
The pressure sensor 180A is used to sense a pressure signal, and may convert the pressure signal into an electrical signal. In some embodiments, the pressure sensor 180A may be disposed on the display screen 194. The pressure sensor 180A is of various types, such as a resistive pressure sensor, an inductive pressure sensor, a capacitive pressure sensor, and the like. The capacitive pressure sensor may be a capacitive pressure sensor comprising at least two parallel plates with conductive material. The capacitance between the electrodes changes when a force is applied to the pressure sensor 180A. The electronic device 100 determines the strength of the pressure from the change in capacitance. When a touch operation is applied to the display screen 194, the electronic apparatus 100 detects the touch operation intensity according to the pressure sensor 180A. The electronic device 100 may also calculate the location of the touch based on the detection signal of the pressure sensor 180A. In some embodiments, touch operations that act on the same touch location, but at different touch operation strengths, may correspond to different operation instructions. For example: and executing an instruction for checking the short message when the touch operation with the touch operation intensity smaller than the first pressure threshold acts on the short message application icon. And executing an instruction for newly creating the short message when the touch operation with the touch operation intensity being greater than or equal to the first pressure threshold acts on the short message application icon. In some embodiments, the wearable device includes a pressure sensor 180A, the pressure sensor 180A being disposed on a side proximate to the wearer. The wearable device may utilize the pressure sensor 180A to detect the strength of the pressure to detect whether the wearable device is worn by the user, and/or the degree of tightness of the wear, etc.
The gyro sensor 180B may be used to determine a motion gesture of the electronic device 100. In some embodiments, the angular velocity of electronic device 100 about three axes (i.e., x, y, and z axes) may be determined by gyro sensor 180B. The gyro sensor 180B may be used for photographing anti-shake. For example, when the shutter is pressed, the gyro sensor 180B detects the shake angle of the electronic device 100, calculates the distance to be compensated by the lens module according to the angle, and makes the lens counteract the shake of the electronic device 100 through the reverse motion, so as to realize anti-shake. The gyro sensor 180B may also be used for navigating, somatosensory game scenes.
The air pressure sensor 180C is used to measure air pressure. In some embodiments, electronic device 100 calculates altitude from barometric pressure values measured by barometric pressure sensor 180C, aiding in positioning and navigation.
The magnetic sensor 180D includes a hall sensor. The electronic device 100 may detect the opening and closing of the flip cover using the magnetic sensor 180D. In some embodiments, when the electronic device 100 is a flip machine, the electronic device 100 may detect the opening and closing of the flip according to the magnetic sensor 180D. And then according to the detected opening and closing state of the leather sheath or the opening and closing state of the flip, the characteristics of automatic unlocking of the flip and the like are set.
The acceleration sensor 180E may detect the magnitude of acceleration of the electronic device 100 in various directions (typically three axes). The magnitude and direction of gravity may be detected when the electronic device 100 is stationary. The electronic equipment gesture recognition method can also be used for recognizing the gesture of the electronic equipment, and is applied to horizontal and vertical screen switching, pedometers and other applications.
A distance sensor 180F for measuring a distance. The electronic device 100 may measure the distance by infrared or laser. In some embodiments, the wearable device includes a distance sensor 180F, the distance sensor 180F being disposed on a side proximate to the wearer. The wearable device may range using the distance sensor 180F to detect whether the wearable device is worn by the user.
The proximity light sensor 180G may include, for example, a Light Emitting Diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The electronic device 100 emits infrared light outward through the light emitting diode. The electronic device 100 detects infrared reflected light from nearby objects using a photodiode. When sufficient reflected light is detected, it may be determined that there is an object in the vicinity of the electronic device 100. When insufficient reflected light is detected, the electronic device 100 may determine that there is no object in the vicinity of the electronic device 100. The electronic device 100 can detect that the user holds the electronic device 100 close to the ear by using the proximity light sensor 180G, so as to automatically extinguish the screen for the purpose of saving power. The proximity light sensor 180G may also be used in holster mode, pocket mode to automatically unlock and lock the screen. In some embodiments, the wearable device includes a distance sensor 180F, the distance sensor 180F being disposed on a side proximate to the wearer. The wearable device may range using the distance sensor 180F to detect whether the wearable device is worn by the user.
The ambient light sensor 180L is used to sense ambient light level. The electronic device 100 may adaptively adjust the brightness of the display 194 based on the perceived ambient light level. The ambient light sensor 180L may also be used to automatically adjust white balance when taking a photograph. Ambient light sensor 180L may also cooperate with proximity light sensor 180G to detect whether electronic device 100 is in a pocket to prevent false touches.
The fingerprint sensor 180H is used to collect a fingerprint. The electronic device 100 may utilize the collected fingerprint feature to unlock the fingerprint, access the application lock, photograph the fingerprint, answer the incoming call, etc.
The temperature sensor 180J is for detecting temperature. In some embodiments, the electronic device 100 performs a temperature processing strategy using the temperature detected by the temperature sensor 180J. For example, when the temperature reported by temperature sensor 180J exceeds a threshold, electronic device 100 performs a reduction in the performance of a processor located in the vicinity of temperature sensor 180J in order to reduce power consumption to implement thermal protection. In other embodiments, when the temperature is below another threshold, the electronic device 100 heats the battery 142 to avoid the low temperature causing the electronic device 100 to be abnormally shut down. In other embodiments, when the temperature is below a further threshold, the electronic device 100 performs boosting of the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperatures. In other embodiments, the wearable device includes a temperature sensor 180J, the temperature sensor 180J being disposed proximate to a side of the wearer. The wearable device may measure the body temperature of the user using the temperature sensor 180J, may also detect whether the wearable device is worn by the user, etc.
The touch sensor 180K, also referred to as a "touch device". The touch sensor 180K may be disposed on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is for detecting a touch operation acting thereon or thereabout. The touch sensor may communicate the detected touch operation to the application processor to determine the touch event type. Visual output related to touch operations may be provided through the display 194. In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100 at a different location than the display 194.
The bone conduction sensor 180M may acquire a vibration signal. In some embodiments, bone conduction sensor 180M may acquire a vibration signal of a human vocal tract vibrating bone pieces. The bone conduction sensor 180M may also contact the pulse of the human body to receive the blood pressure pulsation signal. In some embodiments, bone conduction sensor 180M may also be provided in a headset, in combination with an osteoinductive headset. The audio module 170 may analyze the voice signal based on the vibration signal of the sound portion vibration bone block obtained by the bone conduction sensor 180M, so as to implement a voice function. The application processor may analyze the heart rate information based on the blood pressure beat signal acquired by the bone conduction sensor 180M, so as to implement a heart rate detection function. In other embodiments, the wearable device may be a headset, which may include bone conduction sensor 180M. The earphone can analyze heart rate data of the user through the blood pressure beating signals acquired by the bone conduction sensor 180M.
In other embodiments of the present application, an electronic device, such as a wearable device, may include an optical sensor that may measure a user's blood pressure, heart rate, and blood oxygen saturation (or blood oxygen) based on absorption of light by the blood. More specifically, the optical sensor may determine physiological parameters such as blood pressure, heart rate, or blood oxygen saturation of the user based on absorption of light by hemoglobin contained in the blood.
The keys 190 include a power-on key, a volume key, etc. The keys 190 may be mechanical keys. Or may be a touch key. The electronic device 100 may receive key inputs, generating key signal inputs related to user settings and function controls of the electronic device 100.
The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration alerting as well as for touch vibration feedback. For example, touch operations acting on different applications (e.g., photographing, audio playing, etc.) may correspond to different vibration feedback effects. The motor 191 may also correspond to different vibration feedback effects by touching different areas of the display screen 194. Different application scenarios (such as time reminding, receiving information, alarm clock, game, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect may also support customization.
The indicator 192 may be an indicator light, may be used to indicate a state of charge, a change in charge, a message indicating a missed call, a notification, etc.
The SIM card interface 195 is used to connect a SIM card. The SIM card may be inserted into the SIM card interface 195, or removed from the SIM card interface 195 to enable contact and separation with the electronic device 100. The electronic device 100 may support 1 or N SIM card interfaces, N being a positive integer greater than 1. The SIM card interface 195 may support Nano SIM cards, micro SIM cards, and the like. The same SIM card interface 195 may be used to insert multiple cards simultaneously. The types of the plurality of cards may be the same or different. The SIM card interface 195 may also be compatible with different types of SIM cards. The SIM card interface 195 may also be compatible with external memory cards. The electronic device 100 interacts with the network through the SIM card to realize functions such as communication and data communication. In some embodiments, the electronic device 100 employs esims, i.e.: an embedded SIM card. The eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100.
Application scenarios and implementation flows of the embodiments of the present application are first illustrated by way of non-limiting examples.
Fig. 2A, fig. 2B, and fig. 2C are schematic application scenarios of a wear detection method of a wearable device according to an embodiment of the present application. In this application scenario, the wearable device is a bracelet.
It should be noted that, in the embodiment of the present application, the wearable device may be a generic name for intelligently designing daily wear by applying wearable technology and developing wearable devices, such as glasses, eyepatches, rings, headphones, gloves, watches, apparel, shoes, and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device comprises full functions, large size, and complete or partial functions which can be realized independent of a smart phone, such as a smart watch or a smart glasses, and is only focused on certain application functions, and needs to be matched with other devices such as the smart phone for use, such as various smart bracelets, smart jewelry and the like for physical sign monitoring.
Fig. 2A, 2B and 2C illustrate the pairing process of the bracelet 31 and the mobile phone 32.
In some embodiments of the present application, as shown in fig. 2A, after the bracelet 31 starts the bluetooth function, the user adds the bracelet 31 by entering into the application of the mobile phone 32, so as to complete the pairing between the mobile phone 32 and the bracelet 31. For example, the user enters device addition interface 321A of handset 32, triggering an add device control 3211 in device addition interface 321A. If the mobile phone 32 does not start the bluetooth function, the bluetooth function of the mobile phone 32 is started, the mobile phone 32 searches for peripheral bluetooth devices, a peripheral bluetooth device list is displayed, and after the user selects the bracelet 31 in the bluetooth device list, the pairing of the mobile phone 32 and the bracelet 31 is completed. It should be noted that, in other embodiments of the present application, after the user selects the bracelet 31 in the bluetooth device list, the user needs to input a correct password, so that the pairing between the mobile phone 32 and the bracelet 31 can be completed.
In other embodiments of the present application, as shown in fig. 2B, the bracelet 31 is opened with a bluetooth function, the mobile phone 32 is opened with an NFC function and a bluetooth function, the user bumps the mobile phone 32 onto the bracelet 31, the mobile phone 32 automatically pops up the connection prompt interface 321B, and after the user selects and confirms on the connection prompt interface 321B, the pairing between the mobile phone 32 and the bracelet 31 is completed. Through the one touch interconnection, user operation is simplified, compared with the complicated user operation of fig. 2A, the pairing efficiency is greatly improved in fig. 2B. It should be noted that, in other embodiments of the present application, the user bumps the mobile phone 32 onto the bracelet 31, and the mobile phone 32 may not pop up the connection prompt interface 321B, i.e. the pairing between the mobile phone 32 and the bracelet 31 may be completed without user selection confirmation. In these embodiments, the user is not required to perform connection confirmation, so that the user operation is further simplified, and the pairing efficiency is further improved. In other embodiments of the present application, the user may touch the mobile phone 32 on the bracelet 31, the mobile phone 32 may not pop up the connection prompt interface 321B, may pop up the password input interface, and the user may input the correct password on the password input interface, so as to complete pairing between the mobile phone 32 and the bracelet 31. In these embodiments, communication security is improved by setting a password.
As shown in fig. 2C, after the pairing of the bracelet 31 and the mobile phone 32 is completed, the communication connection between the bracelet 31 and the mobile phone 32 is realized. In addition, the device management interface 322 of the mobile phone 32 can view the state prompt 3221 that the bracelet 31 is connected to the mobile phone 32. The functions of data interaction and the like can be realized between the bracelet 31 and the mobile phone 32.
It should be understood that fig. 2A, 2B, and 2C are exemplary descriptions of various display interfaces herein and should not be construed as limiting embodiments of the present application in any way. In an actual application scenario, each display interface may include more or less display content, which is not limited in the embodiments of the present application.
As shown in fig. 2D, after the pairing of the bracelet and the mobile phone is completed, the bracelet may actively synchronize the collected detection data to the mobile phone, or the mobile phone may actively require the bracelet to synchronize the collected detection data to the mobile phone. After the mobile phone obtains the detection data that the bracelet gathered, on the one hand, the mobile phone detects the wearing state of bracelet automatically. Specifically, the mobile phone effectively wears and checks whether the user wears the bracelet 31 correctly according to the detection data collected by the bracelet, such as heart rate and/or blood oxygen, and the like, and gives the wearing suggestion to the wearer according to the wearing check result, for example, if the wearing check result indicates that the user does not wear the bracelet correctly, the wearing suggestion is pushed to the wearer. On the other hand, the mobile phone can intelligently push the wearing guidance. After the mobile phone obtains the wearing verification result, a query for confirming the wearing state is pushed to the user so that the user can confirm whether the wearing error behavior which can be detected by the user exists or not, and after the user confirms, a corresponding wearing instruction (or wearing instruction) is pushed.
It should be understood that in some embodiments of the present application, the bracelet may perform wearing verification according to the collected detection data, and give wearing advice according to the wearing verification result. Or, the bracelet can intelligently push the wearing guidance. That is, in the embodiment of the present application, the electronic device that performs the wearing test may be a device that collects the detection data, or may be an electronic device that synchronizes with the detection data. The electronic device for pushing the wearing guidance can be a device for collecting detection data, or can be an electronic device synchronous with the detection data. For ease of description, in the examples or embodiments that follow, the wearing test is performed by a mobile phone, and the pushing of the wearing instructions is illustrated as an example, those skilled in the art will understand that the exemplary description should not be construed as a specific limitation of the present application.
It should also be appreciated that the wristband may store a certain amount of detection data, which may be updated over a certain period of time. When the bracelet is connected with the mobile phone, the bracelet synchronizes the detection data which are not synchronized by the mobile phone to the mobile phone. On the one hand, the mobile phone can check the wearing state of the bracelet in a historical time period or in current real time based on the latest synchronous detection data, and the wearing suggestion is given to the user according to the wearing check result. On the other hand, the mobile phone can also obtain the user health monitoring result based on the latest synchronous detection data so as to prompt the user to carry out health management.
After the bracelet and the mobile phone are paired, the bracelet can synchronize the acquired detection data to the mobile phone, and a user can view the detection data through a user interface of the mobile phone.
As a non-limiting example, as shown in fig. 3A, a display interface 323 for bracelet detection data on the mobile phone 32. The measurement data displayable by the display interface 323 of the wristband detection data may include the following: step count, exercise state, sleep, heart rate and blood oxygen.
When the mobile phone receives the sleep control 3231 in the display interface 323 of the bracelet detection data shown in fig. 3A triggered by the user, the mobile phone 32 loads the display interface 324 of the sleep data, as shown in fig. 3B. The measurement data in the sleep state displayable by the display interface 324 of sleep data includes two kinds: heart rate and blood oxygenation.
When the handset receives a heart rate control 3241 in the display interface 324 of the sleep data shown in fig. 3B, for example, the handset 32 may load the heart rate data display interface 325 in the sleep state, as shown in fig. 4A. As another example, the handset 32 may load the heart rate data display interface 425 in a sleep state, as shown in fig. 4B.
When the mobile phone receives the blood oxygen control 3242 in the display interface 324 of the sleep data shown in fig. 3B, for example, the mobile phone 32 may load the blood oxygen data display interface 326 in the sleep state, as shown in fig. 5A. As another example, the handset 32 may load the blood oxygen data display interface 426 in a sleep state, as shown in fig. 5B.
It should be noted that, in some embodiments of the present application, the heart rate data display interface and the blood oxygen data display interface may include a sliding control. The mobile phone receives the dragging operation of the user on the sliding control, and heart rate or blood oxygen data or data range at different moments can be displayed. For example, with continued reference to fig. 5B, the blood oxygen data display interface 426 includes a slider control 4262 that the user drags to the target location shown in fig. 5B, and the mobile phone displays the blood oxygen data at the target time corresponding to the target location. Because the blood oxygen data at the target time is missing in the example shown in fig. 5B, the cell phone shows that the blood oxygen data at the target time is "-".
It should be understood that fig. 3A, fig. 3B, fig. 4A, fig. 4B, fig. 5A, and fig. 5B are exemplary descriptions of respective display interfaces, and in a practical application scenario, the respective display interfaces may take other layouts and/or classifications, and the display interfaces may also include more or less types of measurement data, which is not limited in this application.
After the mobile phone synchronizes the heart rate data and the blood oxygen data of the bracelet, a user can check the heart rate data and the blood oxygen data through the heart rate data display interface and the blood oxygen data display interface of the mobile phone. According to the measurement data and the monitoring result provided by the display interface, a user can intuitively see whether the measurement data is missing or not at a certain moment, whether the measurement data is abnormal or not, and the like, so that the user can evaluate the wearing state of the bracelet conveniently and know the health state of the user.
Next, an implementation flow of the wearing detection method of the wearable device provided by the embodiment of the application is described in detail. In this embodiment, detection data collected by a bracelet in a sleep state of a user is taken as an example for explanation.
When a user acquires measurement data such as heart rate and blood oxygen by using the wearable device, the wearable device acquires one data point of heart rate and blood oxygen at intervals, namely one sampling duration. And incorrect wearing causes abnormal values in the measurement data such as blood oxygen and heart rate. In the embodiment of the application, whether the user wears the wearable equipment correctly is judged according to the distribution condition of the abnormal values, if the user does not wear the wearable equipment correctly, the user confirms the wearing state of the user, and after confirmation, the user sends the wearing suggestion.
In some embodiments of the present application, the mobile phone may detect a bracelet wearing state in a sleep state of the user, and instruct the user to wear the wearable device correctly, so that the bracelet may collect more accurate measurement data. The detection data of the sleep state comprise heart rate and blood oxygen, and the wearing state of the user can be verified according to the two measurement data of the blood oxygen and the heart rate. Therefore, in the embodiment of the application, the wearing state verification can be performed by selecting the corresponding index according to different scene requirements so as to meet the measurement requirements of the actual scene.
That is, if the wearable device is relied upon to collect certain or more measurement data specified by the user in order to monitor the user's health. Then, in some embodiments of the present application, the wearing state of the user may be checked according to the specified one or more measurement data, and wearing advice is pushed, so as to collect the specified one or more measurement data more accurately.
In one implementation of the present application, the wristband is configured to accurately detect measurement data of a sleep state specified by a user, such as heart rate and blood oxygen. In other implementations of the present application, the system defaults to a wristband that requires detection of measured data, such as heart rate and blood oxygen, during a user's sleep state
When the bracelet and the mobile phone are matched, the bracelet detects that the user falls asleep, and the detection data including heart rate data and blood oxygen data are synchronized to the mobile phone in real time. The mobile phone can synchronously record detection data, automatically detect the wearing state of the bracelet of the user in the current sleep state according to the heart rate data and the blood oxygen data, and guide the user to wear the bracelet correctly so as to collect the heart rate data and the blood oxygen data more accurately in the subsequent sleep state.
When the bracelet and the mobile phone are matched, the bracelet sends the collected heart rate data and blood oxygen data to the mobile phone in real time, or the mobile phone actively acquires the heart rate data and the blood oxygen data collected by the bracelet in real time so as to realize synchronization of the heart rate data and the blood oxygen data of the bracelet to the mobile phone. The bracelet detects that the user finishes the current sleep state, wakes up, and can send a notification to the mobile phone. The mobile phone can automatically detect the wearing state of the bracelet of the user in the current sleep state according to the heart rate data and the blood oxygen data of the bracelet in the current sleep state, and guide the user to wear the bracelet correctly so as to collect the heart rate data and the blood oxygen data more accurately in the subsequent sleep state.
When the bracelet and the mobile phone are not matched, after the bracelet and the mobile phone are matched, the bracelet synchronizes the measurement data which are acquired in the historical time period and are not synchronized to the sleep state of the user of the mobile phone to the mobile phone. The mobile phone acquires the measurement data after the synchronization, detects the wearing state of the bracelet of the user in the sleeping state in the historical time period, and guides the user to wear the bracelet correctly.
With continued reference to fig. 4A and 5A, the heart rate data and blood oxygen data for the user during the sleep period 00:29 to 09:36, respectively, are collected by the wristband. With continued reference to fig. 4B and 5B, the heart rate data and blood oxygen data for the user during the sleep period 23:43 to the next day 07:57, respectively, are collected by the wristband.
The wearable device is not worn correctly, i.e. the form of the wearing error may include, but is not limited to, a wearing position error (or misalignment), or too loose, etc. The wearable device is not worn correctly and may be embodied in two measurements, heart rate data and blood oxygen data. For example, a data anomaly may suddenly occur for a period of time in a steady state, including but not limited to, data anomaly or data loss, etc. In an implementation manner of the present application, a reasonable threshold range of each of the two measurement data may be preset in the mobile phone, and if the measurement data does not meet the corresponding reasonable threshold range, the data is considered to be abnormal. In an implementation manner of the present application, in a case of determining that the measured data is abnormal, the mobile phone may also determine, according to the abnormal condition of the measured data, whether the wristband is in a wearing error of which form, for example, whether the wristband is worn too loose or misplaced, etc. As an example, if there is a certain error between both measurement data and reasonable data in a certain past period of time, and/or if both measurement data are intermittent, that is, if the data are discontinuous, then it may be determined that the wristband is worn too loosely. As another example, if both measurement data are lost during a period of time in the past, the wristband wearing state may be determined to be a misplaced wear.
Whether the data is abnormal or not can be intuitively seen through a statistical graph of the measured data, for example, as shown in fig. 4B, the heart rate data is lost within a period of time corresponding to a dashed line box 4251; as another example, with continued reference to fig. 5B, blood oxygen data is lost for a period of time corresponding to dashed box 4261. Thus, if the measurement data suddenly becomes abnormal over a period of time, it may be determined that the user is not wearing the wearable device correctly.
In a non-limiting example of the present application, the wearing state of the user may be determined according to the distribution of the heart rate data and the blood oxygen data loss portion. For example, analyzing the heart rate and blood oxygen data, finding that a section of lost part exists in the heart rate and blood oxygen data, calculating coincidence or intersection of the heart rate data and the blood oxygen data lost part, obtaining a coincidence time period, and if the coincidence time period exceeds a preset threshold, considering that the user does not wear the bracelet correctly or wears too loose, and the like.
In another non-limiting example of the present application, heart rate data and blood oxygen data are analyzed, time periods in which abnormalities occur in the heart rate data and blood oxygen data coincide or intersect, and for a period of time, it may be identified that the user is not wearing the wearable device correctly or is wearing too loose, etc. within the time period.
For example, the data sampling interval may be set to be once per minute, that is, 60 data sampling points are included per hour, and an abnormal period of time in which the heart rate data and the blood oxygen data overlap or cross to more than twenty data points, that is, an abnormal period of time in which both are abnormal and last for more than twenty minutes, and the duration (or cumulative duration) of the abnormal period of time reaches one hour, it may be recognized that the user does not wear the wearable device correctly.
Specifically, in the analysis of the detection data, abnormal data points of heart rate data and blood oxygen data of the user are recorded respectively, and a coincidence or crossover time period in which abnormal values appear simultaneously is determined, for example, an abnormal time period corresponding to abnormal data points in which abnormal values appear simultaneously and last for more than twenty minutes. As an example, determining that the heart rate data and the blood oxygen data are abnormal at the same time and for an abnormal time period corresponding to more than twenty abnormal data points is: [ trS, tr (S1+N1) ], …, [ trSn, tr (Sn+Nn) ]. Wherein S1, N1, …, sn, and Nn are positive integers, and N is an integer greater than or equal to 1.
The duration is determined from the one or more abnormal time periods, i.e., taking the union of the one or more time periods [ trS, tr (s1+n1) ], …, [ trSn, tr (sn+nn) ].
If the duration is equal to or greater than a period of one hour, then the user is informed that the bracelet is not being properly worn for that period.
And recording the accumulated times of the user not wearing the bracelet correctly in the measuring stage, and pushing the wearing suggestion to the user if the accumulated times exceed a set threshold value. Through the setting, the mobile phone can not push the wearing suggestion to the user when detecting the wearing error every time, so that the frequency of pushing the wearing suggestion to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
Wear advice includes, but is not limited to: and corresponding to the wearing advice of the wearing check result such as incorrect wearing (namely wearing error), incorrect wearing position (namely wearing dislocation), loose wearing and the like. In some embodiments, after the mobile phone completes the wearing verification, a wearing suggestion display interface is displayed, where the wearing suggestion display interface includes a wearing suggestion corresponding to the wearing verification result. In some implementations, the phone 32 displays the wearing advice display interface 327, the phone determines that the wristband is too loose, the phone 32 displays the wearing advice display interface 327, as shown in fig. 6, the wearing advice display interface 327 displays the word "the wristband is too loose, and adjustment is requested". The mobile phone detects that a user clicks any blank area of the display interface, and exits the display interface; or after the display interface is displayed for a preset time, the mobile phone automatically exits the display interface. In some implementations, the mobile phone determines that the wristband is worn out of position, and the wearing advice display interface may display the word "the wristband is worn out of position, and the adjustment is done to the correct position". In some implementations, the mobile phone determines that the wristband is worn in a misplaced manner, and the wearing advice display interface may display the word "the wristband is not worn correctly, and the wristband wearing state is adjusted".
In other embodiments, the wearing advice display interface 327 shown in fig. 6 may further include a "details" control, and the mobile phone may display a bracelet wearing description when receiving a click operation from the user on the "details" control. The user can learn more detailed wearing knowledge by reading the bracelet wearing description. In some implementations, the wristband wear instructions may correspond to the wear advice, thereby more efficiently guiding the user to correctly adjust the wear state of the wristband. For example, if the wearing advice is a wearing advice corresponding to an incorrectly worn bracelet, the bracelet wearing instructions may detail the steps of how to correctly wear the bracelet; if the wearing suggestion is a wearing suggestion corresponding to the error wearing position of the bracelet, the wearing specification of the bracelet can introduce which position to wear the bracelet; if the wearing advice is the wearing advice that the corresponding bracelet is worn too loose, the bracelet wearing instruction can introduce how to tighten the bracelet. More specifically, in some implementations, the bracelet wearing instructions may also be presented by means of graphic-text combination or video or voice, etc.; alternatively, the user may be informed of how much at least tightening is specifically required to achieve an accurate wearing state.
In addition, the mobile phone sends a wearing state confirmation prompt to the user, so that the user can confirm whether the detected wearing error behavior exists. After the wearing state is confirmed by the user, the wearing description corresponding to the wearing state can be pushed to the user.
For example, in the case where the mobile phone determines that the wearing state is too loose, the mobile phone 32 displays the wearing state confirmation interface 328, as shown in fig. 7, the wearing state confirmation interface 328 displays "please check whether the wristband is too loose? "in the word" is used. After the user confirms the wearing state, a wearing description corresponding to the wearing state may be recommended to the user. For example, the wear instructions may introduce how to tighten the wristband.
For another example, when the mobile phone determines that the wearing state is a wearing dislocation, the mobile phone displays a wearing state confirmation interface, and the wearing state confirmation interface displays "please check whether the wristband is worn dislocation? "in the word" is used. After the user confirms the wearing state, a wearing description corresponding to the wearing state may be recommended to the user. For example, the wear instructions may introduce where to wear the wristband.
For another example, in the case that the mobile phone determines that the wearing state is not correctly worn, the mobile phone displays an inquiry interface for whether the wearing is correct, and the inquiry interface displays "please the user confirm whether to correctly wear the bracelet? "in the word" is used. After the user confirms the wearing state, a wearing description corresponding to the wearing state may be recommended to the user. Illustratively, the donning instructions may introduce various steps of how to properly donn the wristband; alternatively, general instructions for the wristband, such as user instructions, may be presented.
In this example, an abnormal time period in which the heart rate data and the blood oxygen data coincide or intersect is recorded, and a duration of the abnormal time period is recorded, and when the duration is equal to or exceeds a preset duration, it is determined that the user is not wearing the wearable device correctly. On the one hand, based on two measurement data, the overlapped or crossed abnormal time periods are calculated, and the wearing state of the wearable equipment is checked by considering the information of two dimensions at the same time, so that the accuracy of a checking result is improved, and erroneous judgment can be avoided; on the other hand, the duration is set for the abnormal time period, so that erroneous judgment is further avoided.
It should be appreciated that in other embodiments, the sampling time interval may be set to other time intervals, and the duration may take other durations. The foregoing embodiments are merely exemplary and are not to be construed as limiting the present application in any way.
It should be appreciated that in other embodiments, the wear recommendations and/or wear instructions may be pushed to the user in other forms, such as voice, video, images, text or a combination of graphics, etc. The foregoing embodiments are merely exemplary and are not to be construed as limiting the present application in any way.
It should be noted that, in other embodiments, the cumulative number of times may not be set, that is, the wearing advice may be pushed to the user without sending the wearing advice to the user when the cumulative number of times exceeds the set threshold, but when it is determined that the user does not wear the wearable device correctly. The selection setting can be performed according to actual conditions.
The present embodiment is described herein taking a scenario in which a ring and a mobile phone establish a communication connection as an example.
As shown in fig. 8A and 8B, the ring 91 and the cell phone 92 are paired to establish a communication connection, and heart rate data and blood oxygen data collected by the ring 91 are synchronized to the cell phone 92. It should be appreciated that the pairing process of the finger ring 91 with the handset 92 can be seen from the foregoing pairing process of the finger ring and the handset.
In this embodiment, the mobile phone 92 performs wearing verification according to heart rate data and blood oxygen data in the last 1 hour collected by the finger ring 91. The handset 92 determines heart rate data and blood oxygen data over the past hour, both of which are abnormal and for a duration of over thirty minutes, and may determine that the ring 91 is not properly worn or is too loose. The cellular phone 92 pushes the wearing advice to the user, and displays the wearing advice display interface. For example, as shown in fig. 8A, the wearing advice display interface 921 of the mobile phone 92 displays the word "the ring is worn too loose, please replace the wearing finger". After detecting that the user clicks any one of the blank areas in the display interface, the mobile phone 92 exits the display interface. The user can accurately adjust the wearing state according to the wearing advice.
After exiting the wearing advice display interface for a predetermined period of time, the mobile phone 92 may push a wearing status confirmation reminder. As shown in fig. 8B, the alert interface 922 of the handset 92 displays "please check if the ring is worn too loose? "in the word" is used. The user can confirm whether the detected wearing error behavior exists according to the reminder. Upon receipt of user input at the handset 92 confirming the wearing status, for example, the user clicking on the "yes" control 9221 or "no" control 9222 shown in fig. 8B, the handset 92 may push a wearing description corresponding to the wearing status.
It should be noted that, in other embodiments, it may not be necessary to send a wearing suggestion to the user when it is determined that the user is not wearing the wearable device correctly. But push the wearing state confirmation reminder to enable the user to confirm whether the detected wearing error behavior exists. After the user confirms the wearing state, a wearing description corresponding to the wearing state may be recommended to the user.
The present embodiment is described by taking a scenario in which smart glasses and a mobile phone are connected in communication as an example.
As shown in fig. 9, the glasses 101 and the mobile phone 102 are paired to establish a communication connection, and heart rate data and blood oxygen data collected by the glasses 101 are synchronized to the mobile phone 102. It should be appreciated that the pairing process of the glasses 101 and the mobile phone 102 can be seen from the foregoing process of pairing the bracelet and the mobile phone.
In the present embodiment, the mobile phone 102 performs wearing verification based on heart rate data and blood oxygen data acquired from the eyeglasses 101 over ten minutes. The cell phone 102 determines heart rate data and blood oxygen data for the past ten minutes, both of which are subject to certain errors and occasional breaks with reasonable thresholds, and can determine that the glasses 101 are being worn too loosely. The handset 102 may push a wear status confirmation reminder to the user. As shown in fig. 9, the alert interface 1022 of the mobile phone 102 displays "please check that the glasses are too loose? "in the word" is used. The user can confirm whether the detected wearing error behavior exists according to the reminder. Upon receipt of user input by the mobile phone 102 confirming the wearing state, for example, the user clicks the "yes" control 10221 or the "no" control 10222 shown in fig. 9, the mobile phone 102 may push a wearing description corresponding to the wearing state.
In other embodiments, there are situations where the user cannot normally view the mobile phone 102 after wearing the glasses 101, in which case the mobile phone 102 may not display the wearing state confirmation reminder any more, but announce the wearing state confirmation reminder in language. Alternatively, after determining the wearing state of the glasses, the mobile phone 102 may send the wearing state to the glasses 101. The glasses 101 can broadcast the wearing state confirmation prompt according to the wearing state, or push the wearing state confirmation prompt to the user. For example, "please check that the glasses are worn too loose? ". For another example, a reminder interface is displayed on the display screen of the glasses 101, and the reminder interface displays "please check whether the glasses are worn too loose? "in the word" is used. Thus, the user can confirm whether there is a detected wear-error behavior from the reminder.
In other embodiments, the wearable device includes a sensor operable to detect whether the wearable device is worn by the user. For example, the wearable device includes a proximity light sensor that can detect whether there is an object in the vicinity of the wearable device and thus can be used to determine whether the wearable device is being worn by a user; alternatively, the wearable device includes a distance sensor that can detect the distance of the wearable device from the obstacle and thus can be used to determine whether the wearable device is worn by the user; alternatively, the wearable device includes a pressure sensor that may be used to sense the pressure signal and thus may be used to determine whether the wearable device is worn by the user; alternatively, the wearable device includes a temperature sensor that may be used to measure temperature and thus may be used to determine whether the wearable device is worn by the user; alternatively, the wearable device includes a resistance sensor that may be used to measure skin resistance and thus may be used to determine whether the wearable device is worn by the user.
As a non-limiting example, the back of an eyeglass, finger ring, wristband or watch, i.e. the side near the user's skin, is provided with one or more of a proximity light sensor, a distance sensor, a pressure sensor, a temperature sensor, a resistance sensor, etc., based on the sensed data detected by the sensors, it may be determined whether the wearable device is worn by the user.
In the event that the wearable device is determined to be worn by the user, the user wearing state of the wearable device is re-checked. The wearable device may collect heart rate and blood oxygen data after determining to be worn by the user. The wearable device can verify the wearing state of the user of the wearable device according to the collected heart rate and blood oxygen data. The wearable device can also be worn by the user of the mobile phone and other electronic devices which synchronize the heart rate and blood oxygen data according to the verification of the heart rate and blood oxygen data.
In some examples, after detecting the wearing state of the user, the wearing advice may be pushed to the user, in addition, the user may also be allowed to reconfirm the wearing state, and by combining automatic detection and user confirmation, the accuracy of the detection result is provided, and more accurate wearing guidance is pushed to the user.
In some examples, after detecting the wearing state of the user, the user can reconfirm the wearing state, and by combining the automatic detection and the user confirmation, the accuracy of the detection result is improved, and more accurate wearing guidance is pushed to the user.
In an actual application scenario, there may be a situation that the same user has multiple wearable devices, and in this situation, if the multiple wearable devices are all paired with the mobile phone of the user, the mobile phone may synchronize the heart rate and blood oxygen data collected by each wearable device. The mobile phone can respectively check the wearing states of the users of the wearable devices according to the wearable devices, so that corresponding wearing suggestions are pushed to the users according to the detected wearing states of the users. It should be understood that, for each wearable device, the process of checking the wearing state of the user of each wearable device may refer to the foregoing embodiment of checking the wearing state of the wristband, the ring, the glasses, or the like, which is not described herein.
In combination with the above embodiments and related drawings, the embodiments of the present application provide a wear detection method of a wearable device, where the wear detection method may be performed by an electronic device. For example, the wear detection method may be performed by one or more of a cell phone, a bracelet, a finger ring, or glasses, etc. in the aforementioned application scenario. As shown in fig. 10, the wear detection method includes steps S110 to S130.
S110, acquiring one or more physiological parameter data.
S120, acquiring the wearing state of the wearable device according to the one or more physiological parameter data.
S130, pushing the wearing advice according to the wearing state.
The physiological parameter data may be physiological parameter data of a user acquired by the wearable device. The wearable device may collect one or more physiological parameter data through its own sensors. The plurality of physiological parameter data may be acquired by the same or different sensors.
In some embodiments, the wear detection method of the wearable device may be applied to a wearable device, such as a bracelet, a finger ring, or glasses, etc. The wearable device can acquire one or more physiological parameter data through a sensor of the wearable device, so that the one or more physiological parameter data are acquired; then, the wearable device acquires the wearing state of the wearable device according to the one or more physiological parameter data; furthermore, the wearable device pushes the wearing advice according to the wearing state.
In other embodiments, the wearable device wear detection method may be applied to an electronic device, such as a mobile phone or tablet computer. The electronic device is connected with the wearable device through a wireless communication technology. The wearable device may acquire one or more physiological parameter data through its own sensors. The electronic device obtains one or more physiological parameter data from the wearable device; then, the electronic equipment acquires the wearing state of the wearable equipment according to the one or more physiological parameter data; furthermore, the electronic equipment pushes the wearing suggestion according to the wearing state.
In other embodiments, the wear detection method of the wearable device may be applied to an electronic device and a wearable device, where the electronic device is connected to the wearable device through a wireless communication technology. The wearable device may acquire one or more physiological parameter data through its own sensor and send the one or more physiological parameter data to the electronic device. Then, the electronic equipment receives one or more pieces of physiological parameter data sent by the wearable equipment, and obtains the wearing state of the wearable equipment according to the one or more pieces of physiological parameter data; furthermore, the electronic equipment pushes the wearing suggestion according to the wearing state.
Under the condition of correct wearing, the wearable device can acquire more accurate physiological parameter data. Under the situation of wearing errors, physiological parameter data acquired by the wearable equipment have certain errors and/or have data anomalies such as data loss. Thus, embodiments of the present application verify the wearing state of the wearable device from one or more physiological parameter data. In addition, according to the wearing verification result, the user is given corresponding wearing suggestions, the user can be guided to wear the wearable equipment correctly, and the accuracy of subsequent data acquisition is improved.
Typically, the wearable device may measure one or more physiological parameter data of the user, such as heart rate data, blood oxygen data, blood pressure data, etc., simultaneously. During the acquisition process, the physiological parameter data is generally affected by the wearing state of the wearable device. According to the method and the device for verifying the wearing state, the wearing state can be verified according to the plurality of physiological parameter data, the wearing state is verified based on the information of the plurality of dimensions, and accuracy of the wearing verification result can be further improved.
In some possible implementations, one such wear detection method is provided as shown in fig. 11, further defined based on the embodiment shown in fig. 10. As shown in fig. 11, step S130, pushing the wearing advice according to the wearing state, includes:
and pushing a wearing suggestion according to the wearing state if the wearing state is determined to meet the first condition.
In the embodiment shown in fig. 11, the wear detection method further includes step S140, if it is determined that the wear state meets the second condition, the wear advice is not pushed.
In the implementation manner, the wearable device determines that the wearing state meets a certain condition, namely the wearing suggestion is pushed only by the first condition; the wearable device determines that the wearing state meets a certain condition, namely that the wearing advice is not pushed by the second condition. The wearable device can not push the wearing suggestions to the user every time the wearing state is obtained, so that the frequency of pushing the wearing suggestions to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
Based on the embodiment shown in fig. 11, in some possible implementations, the wearing state includes a wearing error or a wearing correctness;
determining that the wearing state satisfies a first condition includes:
determining the wearing state as wearing errors, or determining the wearing state as the accumulated times of the wearing errors to be equal to or larger than a preset times threshold, or determining the wearing state as the wearing errors;
determining that the wearing state satisfies a second condition includes:
and determining that the wearing state is that the accumulated number of wearing errors is smaller than the preset number threshold, or determining that the wearing state is correct.
In the implementation manner, the wearable device determines that the wearing state is that the accumulated number of wearing errors is equal to or greater than a preset number of times threshold, and then the wearing advice is pushed, otherwise, the wearing advice is not pushed. The wearable device can not push the wearing suggestion to the user when detecting the wearing error every time, so that the frequency of pushing the wearing suggestion to the user can be reduced, the interaction cost is reduced, and the user experience degree is improved.
In some possible implementations, based on the embodiment shown in fig. 10, as shown in fig. 12, step S130, pushing the wearing advice according to the wearing state includes:
Step S131A, determining that the wearing state is the wearing dislocation, and pushing a wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
step S132A, determining that the wearing state is too loose, and pushing the wearing suggestion of the tightening device.
In some possible implementations, based on the embodiment shown in fig. 11, as shown in fig. 13, step S130, if it is determined that the wearing state meets the first condition, pushing the wearing suggestion according to the wearing state includes:
step S131B, pushing a wearing suggestion for adjusting the wearing position if the wearing state is determined to be the wearing dislocation;
step S132B, if the wearing state is determined to be too loose, pushing the wearing suggestion of the tightening device.
Step S140, including: and if the wearing state is determined to be correct, not pushing the wearing suggestion.
In the implementation mode, the wearing state is determined to be the wearing dislocation or the wearing looseness, the corresponding wearing advice is pushed, the user can be guided to adjust the wearing state more pertinently, and the accuracy of subsequent measurement is improved.
In some possible implementations, based on the embodiment shown in fig. 13, as shown in fig. 14, step S131B, if it is determined that the wearing state is a wearing dislocation, pushing a wearing suggestion for adjusting a wearing position includes:
If the wearing state is determined to be the wearing dislocation, and the accumulated times of the wearing dislocation are determined to be equal to or larger than a preset times threshold, the wearing suggestion for adjusting the wearing position is pushed.
Step S132B, if it is determined that the wearing state is too loose, pushing the wearing suggestion of the tightening device, including:
if the wearing state is determined to be too loose, and the accumulated number of times of the wearing state is determined to be equal to or larger than a preset number of times threshold, pushing the wearing suggestion for adjusting the wearing position.
Step S140, including: if the wearing state is determined to be correct, or the wearing state is determined to be misplaced, and the accumulated number of times of the wearing state for misplacement is determined to be smaller than a preset number of times threshold, or the wearing state is determined to be too loose, and the accumulated number of times of the wearing state for too loose is determined to be smaller than the preset number of times threshold, the wearing suggestion is not pushed.
In the implementation mode, the wearing state is determined to be the wearing dislocation or the wearing looseness, the corresponding wearing advice is pushed, the user can be guided to adjust the wearing state more pertinently, and the accuracy of subsequent measurement is improved. In addition, the accumulated number of times of wear dislocation or wear loose is equal to or greater than a preset number of times threshold value, corresponding wear suggestions can be pushed, the number of times of pushing the wear suggestions to a user can be reduced, interaction cost is reduced, and user experience is improved.
In one possible implementation, the method for obtaining the wearing state of the wearable device according to one physiological parameter data includes:
determining a first abnormal time period when abnormality occurs in physiological parameter data;
and if the duration of the first abnormal time period is equal to or longer than a first preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In the implementation mode, a quantitative mode of how to acquire the wearing state of the wearable equipment according to one physiological parameter data is provided, so that the calculation cost is low, and the scheme is easy to implement.
In one possible implementation, obtaining the wearing state of the wearable device according to a plurality of physiological parameter data includes:
determining a second abnormal time period in which a plurality of physiological parameter data are abnormal at the same time;
and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
In the implementation manner, a quantitative manner of how to acquire the wearing state of the wearable device according to a plurality of physiological parameter data is provided, so that the calculation cost is low, and the scheme is easy to implement. In addition, the time period that a plurality of physiological parameter data are abnormal at the same time is considered, the threshold value of the duration time is set, and the accuracy of the wearing verification result is ensured.
In one possible implementation, the wearable device includes a sensor for acquiring the plurality of physiological parameter data. Because the relevance of the physiological parameter data from the same hardware is very high, when the wearing state changes, the physiological parameter information used for checking the wearing state can be acquired based on the same hardware by the implementation mode, and more accurate checking results can be obtained.
As an example, the sensor may be an optical sensor. The optical sensor may measure heart rate data, blood oxygen data, and the like of the user based on the reflection of light by the blood. At least two physiological parameter data from among heart rate data, blood oxygen data, and the like from the same optical sensor are used as data for verifying the wearing state.
In this implementation, since the physiological parameter data for verifying the wearing state originate from the same hardware, the correlation degree between different physiological parameter data is very high. The change in the wearing state of the wearable device will be simultaneously reflected in different physiological parameter data. That is, an erroneous wearing state will result in simultaneous anomalies in the physiological parameter data. Therefore, in the implementation mode, the wearing state of the wearable device is checked based on the physiological parameter data acquired by the same hardware, so that the wearing check result is more accurate.
In one possible implementation, the one or more physiological parameter data includes one or more of heart rate data, blood oxygen data, and blood pressure data.
In a possible implementation manner, on the basis of the embodiment shown in fig. 10, 11, 12, 13 or 14, the wear detection method further includes steps S150 and S160. As shown in fig. 15, the modification of fig. 10 is taken as an example.
S150, pushing a query for confirming the wearing state;
and S160, pushing the wearing description corresponding to the wearing state in response to the received first operation input by the user.
In the implementation mode, on one hand, the wearing state is checked, the wearing suggestion is pushed, on the other hand, the user confirms whether the detected wearing error behavior exists or not, and then the wearing description corresponding to the wearing state is pushed.
In one possible implementation, step S150, pushing the query confirming the wearing state includes: a query is pushed as to whether to wear the wearable device.
In the implementation manner, considering that under the normal condition, a user can accurately confirm whether the user wears the wearable device, the wearable device pushes the query whether the user wears the wearable device or not, and the wearing description can be pushed in a targeted manner on the basis of determining that the wearable device is in a worn state, so that the user is guided to wear the wearable device efficiently and accurately.
In one possible implementation, the wear error includes a misplacement or an over-loose wear.
In one possible implementation manner, the wear detection method further includes:
and if the wearing state is determined to be correct, the wearing suggestion is not pushed.
In one possible implementation, acquiring one or more physiological parameter data includes:
determining that the wearable device is worn by a user, obtaining one or more physiological parameter data.
In practical applications, the wearable device may comprise a sensor for detecting whether the wearable device is worn by the user. Based on detection data derived from these sensors, it may be determined whether the wearable device is worn by the user. In the implementation manner, when the wearable device is determined to be worn by the user, the wearing state is checked, so that the calculation cost can be saved.
In some implementations, the wearable device includes at least one of a proximity light sensor, a distance sensor, a pressure sensor, a temperature sensor, and a resistance sensor. Based on the detection signals derived from them, it may be determined whether the wearable device is worn by the user.
It should be understood that the order of execution of the processes in the above embodiments should be determined by their functions and inherent logic, and should not be construed as limiting the implementation of the embodiments of the present application.
Corresponding to the wearing detection method of the wearable device described in the above embodiments, each module included in the wearing detection apparatus of the wearable device may correspond to each step of implementing the wearing detection method of the wearable device.
It will be appreciated that the electronic device, in order to achieve the above-described functions, includes corresponding hardware and/or software modules that perform the respective functions. The present application can be realized in hardware or a combination of hardware and computer software in conjunction with the description of the embodiments disclosed herein. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application in connection with the embodiments, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
As an exemplary embodiment, as shown in fig. 16, a block diagram of the wearable device wear detection apparatus provided in an embodiment of the present application is shown, and for convenience of explanation, only a portion related to the present embodiment is shown.
The wearing detection device of the wearable equipment can be configured in electronic equipment such as the wearable equipment, a mobile phone or a tablet personal computer. Referring to fig. 16, the wear detection device includes:
An acquisition module 161 for acquiring one or more physiological parameter data;
a verification module 162, configured to obtain a wearing state of the wearable device according to the one or more physiological parameter data;
and the pushing module 163 is configured to push the wearing advice according to the wearing state.
It should be noted that, because the content of information interaction and execution process between the modules/units is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and details thereof are not repeated herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The embodiment of the application also provides electronic equipment, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to enable the electronic equipment to realize the steps in the method embodiments.
As an example, the electronic device may be a wearable device, a cell phone, a tablet computer, or the like.
Embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements steps that may implement the various method embodiments described above.
Embodiments of the present application provide a computer program product which, when run on an electronic device, causes the electronic device to perform steps that may be performed in the various method embodiments described above.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a camera device/electronic apparatus, a recording medium, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a U-disk, removable hard disk, magnetic or optical disk, etc. In some jurisdictions, computer readable media may not be electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed electronic device and method may be implemented in other manners. For example, the electronic device embodiments described above are merely illustrative. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (12)

1. A wear detection method of a wearable device, applied to the wearable device, characterized in that the wear detection method comprises:
the wearable device detects whether worn by a user;
when the wearable device is worn by a user, the wearable device acquires a plurality of physiological parameter data; the plurality of physiological parameter data are a plurality of physiological parameter data which are collected based on the same hardware and are associated with each other; the plurality of physiological parameter data includes: a combination of any two or more of heart rate data, blood oxygen data, and blood pressure data;
The wearable device obtains the wearing state of the wearable device according to the plurality of physiological parameter data;
the wearable device pushes wearing suggestions according to the wearing state;
the wearable device obtains a wearing state of the wearable device according to a plurality of physiological parameter data, including:
the wearable device determines a second abnormal time period in which a plurality of physiological parameter data are abnormal at the same time;
and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
2. The wear detection method according to claim 1, wherein the wearable device pushes a wear suggestion according to the wear state, including:
if the wearable device determines that the wearing state meets a first condition, pushing a wearing suggestion according to the wearing state;
the wear detection method further comprises:
and if the wearable equipment determines that the wearing state meets a second condition, not pushing the wearing suggestion.
3. The wear detection method according to claim 1 or 2, wherein the wear state includes a wear error or a wear correctness;
The wearable device determining that the wearing state satisfies a first condition includes:
the wearable device determines that the wearing state is the wearing error, and the accumulated times of the wearing state are equal to or greater than a preset times threshold value, or determines that the wearing state is the wearing error;
the wearable device determining that the wearing state satisfies a second condition includes:
the wearable device determines that the wearing state is that the accumulated number of times of wearing errors is smaller than the preset number of times threshold, or determines that the wearing state is correct.
4. The wear detection method according to claim 1 or 2, wherein the wearable device pushes a wear suggestion according to the wear state, including:
the wearable equipment determines that the wearing state is the wearing dislocation, and pushes the wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
the wearable device determines that the wearing state is too loose, and pushes the wearing suggestion of the tightening device.
5. The wear detection method according to claim 1 or 2, wherein the wearable device comprises a sensor for acquiring the plurality of physiological parameter data.
6. The wearing detection method of the wearable device is applied to electronic equipment and the wearable device, wherein the electronic equipment is connected with the wearable device through a wireless communication technology, and is characterized by comprising the following steps of:
The wearable device detects whether worn by a user;
when the wearable device is worn by a user, the wearable device acquires a plurality of physiological parameter data; the plurality of physiological parameter data are a plurality of physiological parameter data which are collected based on the same hardware and are associated with each other; the plurality of physiological parameter data includes: a combination of any two or more of heart rate data, blood oxygen data, and blood pressure data;
the electronic equipment receives a plurality of physiological parameter data sent by the wearable equipment, and acquires the wearing state of the wearable equipment according to the physiological parameter data;
the electronic equipment pushes the wearing suggestion according to the wearing state;
the electronic device obtains the wearing state of the wearable device according to a plurality of physiological parameter data, including:
the electronic equipment determines a second abnormal time period for which a plurality of physiological parameter data are abnormal at the same time;
and if the duration of the second abnormal time period is equal to or longer than the preset duration, determining that the wearing state of the wearable equipment is a wearing error.
7. The wear detection method according to claim 6, wherein the electronic device pushes a wear suggestion according to the wear state, including:
If the electronic equipment determines that the wearing state meets a first condition, pushing a wearing suggestion according to the wearing state;
the wear detection method further comprises:
and if the electronic equipment determines that the wearing state meets the second condition, not pushing the wearing suggestion.
8. The wear detection method according to claim 6 or 7, wherein the wear state includes a wear error or a wear correctness;
the electronic device determining that the wearing state meets a first condition includes:
the electronic equipment determines that the wearing state is the wearing error, and the accumulated times of the wearing state are equal to or greater than a preset times threshold value, or determines that the wearing state is the wearing error;
the electronic device determining that the wearing state satisfies a second condition includes:
and the electronic equipment determines that the wearing state is that the accumulated number of wearing errors is smaller than the preset number threshold, or determines that the wearing state is correct.
9. The wear detection method according to claim 6 or 7, wherein the electronic device pushes a wear suggestion according to the wear state, including:
the electronic equipment determines that the wearing state is the wearing dislocation, and pushes the wearing suggestion for adjusting the wearing position; or alternatively, the first and second heat exchangers may be,
And the electronic equipment determines that the wearing state is too loose, and pushes the wearing suggestion of the tightening equipment.
10. The wear detection method according to claim 6 or 7, wherein the wearable device comprises a sensor for acquiring the plurality of physiological parameter data.
11. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, causes the electronic device to implement the wear detection method as claimed in any one of claims 1 to 5.
12. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the wear detection method according to any one of claims 1 to 5.
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