WO2023030161A1 - 智能眼镜、健康信息提示方法及装置 - Google Patents
智能眼镜、健康信息提示方法及装置 Download PDFInfo
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- WO2023030161A1 WO2023030161A1 PCT/CN2022/114822 CN2022114822W WO2023030161A1 WO 2023030161 A1 WO2023030161 A1 WO 2023030161A1 CN 2022114822 W CN2022114822 W CN 2022114822W WO 2023030161 A1 WO2023030161 A1 WO 2023030161A1
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- preset
- body temperature
- ultraviolet
- user
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- 239000004984 smart glass Substances 0.000 title claims abstract description 67
- 230000036541 health Effects 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 39
- 230000036760 body temperature Effects 0.000 claims abstract description 228
- 230000002159 abnormal effect Effects 0.000 claims abstract description 56
- 239000011521 glass Substances 0.000 claims abstract description 44
- 238000004458 analytical method Methods 0.000 claims description 33
- 230000004044 response Effects 0.000 claims description 17
- 230000001960 triggered effect Effects 0.000 claims description 5
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 description 19
- 206010019345 Heat stroke Diseases 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 230000009471 action Effects 0.000 description 3
- 238000009529 body temperature measurement Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 210000000707 wrist Anatomy 0.000 description 2
- 206010042496 Sunburn Diseases 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 210000004247 hand Anatomy 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0008—Temperature signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1112—Global tracking of patients, e.g. by using GPS
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J1/00—Photometry, e.g. photographic exposure meter
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
-
- G—PHYSICS
- G02—OPTICS
- G02C—SPECTACLES; SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURES AS SPECTACLES; CONTACT LENSES
- G02C11/00—Non-optical adjuncts; Attachment thereof
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- A—HUMAN NECESSITIES
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- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
- A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
- A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0271—Thermal or temperature sensors
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- A—HUMAN NECESSITIES
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- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/04—Arrangements of multiple sensors of the same type
Definitions
- the embodiments of the present application relate to the technical field of smart wearable devices, and in particular to smart glasses, a health information prompting method and device.
- smart wearable devices With the development of smart devices, users use smart wearable devices to measure human body motion parameters, biological parameters, and environmental parameters, etc., and users can obtain measurement results by viewing the interface of smart wearable devices.
- Biological parameters are important parameters that characterize human health.
- the most common ones are the detection of human heartbeat, blood pressure, respiration, body temperature and blood oxygen saturation through smart watches.
- body temperature since the temperature of the human wrist is easily affected by accidental factors, such as washing hands will also affect the temperature of the wrist, etc., there will be deviations in the body temperature measured by the smart watch, thereby affecting the accuracy of the user's health information prompt.
- the embodiment of the present application provides smart glasses, a health information prompting method and device, which can solve the problem that there is a deviation in measured body temperature under the influence of accidental factors and affects the accuracy of prompting the user's health information.
- An embodiment of the present application provides smart glasses on the one hand, including:
- the temperature sensor is arranged on the inner side of the glasses body, and the distance from the contact part of the user's skin is less than a preset distance.
- the temperature sensor is arranged at one or more of the inner side of the temple of the glasses body, the inner side of the upper edge of the front frame, and the inner side of the lower edge of the front frame.
- the temperature sensor is used to measure the user's body temperature and/or the user's ambient temperature.
- the smart glasses also include at least one ultraviolet sensor
- the ultraviolet sensor is arranged at one or several places on the outside of the front frame and the outside of the mirror legs.
- ultraviolet sensors are arranged on the upper surface of the front frame.
- the smart glasses also include several external temperature sensors;
- the external temperature sensor is arranged at one or several places on the outside of the front frame and the outside of the mirror legs.
- the external temperature sensor is used to measure the ambient temperature of the user.
- the embodiments of the present application also provide a health information prompt method, which is applied to the above-mentioned smart glasses, including:
- the body temperature data it is judged whether the user's body temperature is abnormal
- the embodiments of the present application also provide a health information prompting device, including:
- An acquisition module configured to acquire body temperature data measured by a temperature sensor disposed on the glasses body of the smart glasses;
- a judging module configured to judge whether the user's body temperature is abnormal according to the body temperature data
- the prompting module is configured to issue a prompt indicating that the user's body temperature is abnormal if it is determined that the user's body temperature is abnormal.
- the smart glasses include a glasses body and a number of temperature sensors. It is less affected by external factors, and the temperature sensor is set closer to the skin, so it is easy to obtain more accurate human body temperature, which can improve the accuracy of body temperature measurement.
- the smart glasses include a glasses body and a number of temperature sensors. It is less affected by external factors, and the temperature sensor is set closer to the skin, so it is easy to obtain more accurate human body temperature, which can improve the accuracy of body temperature measurement.
- FIG. 1 is a schematic structural diagram of smart glasses provided by an embodiment of the present application.
- FIG. 2 is a schematic structural diagram of smart glasses provided by another embodiment of the present application.
- FIG. 3 is a flow chart of the implementation of the health information prompt method provided by an embodiment of the present application.
- Fig. 4 is a flow chart of the implementation of the health information prompt method provided by another embodiment of the present application.
- Fig. 5 is a schematic diagram of the corresponding relationship curve between the indoor temperature value and the measurement time in the health information prompt method provided by an embodiment of the present application;
- Fig. 6 is a schematic structural diagram of a health information prompting device provided by an embodiment of the present application.
- the embodiment of the present application provides a kind of smart glasses.
- the glasses body of the smart glasses is equipped with several temperature sensors, which can measure the user's body temperature.
- the distance between the contact parts is less than the preset distance, that is, it is set on the inner side of the glasses body and close to the user's skin, so as to ensure the accuracy of measuring the temperature of the human body, and can also measure the ambient temperature around the user, that is,
- the temperature sensor is used to measure the user's body temperature and/or the user's ambient temperature.
- several temperature sensors can be installed at one or several places inside the temples of the glasses body, inside the upper edge of the front frame, and inside the lower edge of the front frame, and several places refer to two or more places.
- FIG. 1 is a schematic structural diagram of smart glasses provided by an embodiment of the present application.
- the smart glasses include a glasses body 10 and several temperature sensors 20 , wherein the glasses body includes temples 11 and a front frame 12 .
- the temperature sensor 20 is arranged inside the temple 11 of the glasses body 10 , inside the upper edge of the front frame 12 , and inside the lower edge of the front frame 12 .
- Fig. 1 exemplarily shows the setting positions of three temperature sensors 20, any number of temperature sensors 20 are set at other positions of the mirror legs 11, and other positions set at the front frame 12 are also within the protection scope of the present application .
- the smart glasses include a glasses body and several temperature sensors.
- the temperature sensors are arranged on the inner side of the glasses body, and the distance between the contact part with the user's skin is less than the preset distance. Since the face temperature of the human body is affected by external factors The influence is small, and the temperature sensor is set closer to the skin, so it is easy to obtain a more accurate human body temperature, which can improve the accuracy of body temperature measurement.
- the smart glasses further include several ultraviolet sensors for measuring the ultraviolet content around the human body, and the ultraviolet sensors are arranged at one or several places outside the front frame of the smart glasses body and outside the temples , these positions can better receive sunlight, and the measured ultraviolet values are more accurate.
- several ultraviolet sensors are arranged on the upper surface of the front frame 12 .
- FIG. 2 is a schematic structural diagram of smart glasses provided by another embodiment of the present application.
- two ultraviolet sensors are taken as an example, and the two ultraviolet sensors 30 are respectively arranged on both sides of the upper surface of the front frame 12 .
- a temperature sensor 20 is provided on the inner side of the upper edge of the front frame 12 . It should be noted that FIG. 2 is just an example. In the embodiment of the present application, several temperature sensors and several ultraviolet sensors may be respectively or simultaneously arranged on the smart glasses.
- the smart glasses include a glasses body, a number of temperature sensors and a number of ultraviolet sensors, and the temperature sensor is arranged on the inner side of the temple of the glasses body, the inner side of the upper edge of the front frame, and the inner side of the lower edge of the front frame. Or a few places, the ultraviolet sensor is set on the outside of the front frame and one or several places outside the temples, the head is less covered, it is easier to absorb sunlight, and the measurement value of the ultraviolet content is accurate.
- the smart glasses can measure the human body at the same time. Temperature, outdoor temperature and ultraviolet content in the environment, the measured values are accurate and comprehensive, provide a more accurate basis for evaluating the internal and external factors of human health, and improve the practicability and intelligence of smart glasses.
- the room temperature measured by the temperature sensor is the IC (integrated circuit) own temperature.
- the temperature of the smart glasses will be affected by the temperature change of the head, and the IC temperature of the temperature sensor will also rise accordingly, so the measured room temperature will also continue to rise, which may not accurately reflect The real room temperature will be obtained, and the measured human body temperature will also be affected.
- the smart glasses in order to further enhance the accuracy of the smart glasses in measuring the temperature of the human body and the environment, also include several external temperature sensors, and the external temperature sensors are arranged on the outside of the front frame 12 and the temples 11 At one or several places on the outside of the device, an external temperature sensor is used to measure the user's ambient temperature.
- an external temperature sensor is provided for the smart glasses.
- the temperature sensor is not close to the head and is less affected by the temperature of the head. Compared with the temperature sensor close to the head, it can measure the environment more accurately. temperature and body temperature.
- the embodiment itself also provides a method for presenting health information based on the smart glasses in the above embodiments, which will be described in detail below.
- FIG. 3 is a schematic diagram of the implementation flow of a health information prompt method provided by an embodiment of the present application.
- the health information prompt method is applied to the smart glasses in the above-mentioned embodiments, and the execution subject may be the processor of the smart glasses.
- the method includes:
- the processor of the smart glasses obtains the user's body temperature data measured by each temperature sensor.
- the judgment method can be judged by calculating the average body temperature: count all the body temperature values measured in the preset period, remove the invalid body temperature values higher than the preset maximum limit value or lower than the preset minimum limit value, and find the remaining effective body temperature value
- the average value is the user's body temperature. If the average value exceeds the preset normal value range, it is confirmed that the user's body temperature is abnormal.
- the preset period may be 1 minute; the maximum limit value may be 45°C, and the minimum limit value may be 30°C; the normal value range may be 36-37°C.
- the calculation method can also be judged by counting the number of abnormal body temperatures: counting all body temperature values within the preset period, and if the number of times exceeding the preset normal value range is greater than the preset number of times, it is confirmed that the user's body temperature is abnormal.
- the preset number of times may be 3 times.
- the abnormal body temperature may mean that the user's body temperature is abnormally high, or that the user's body temperature is abnormally low.
- the ambient temperature value measured by the temperature sensor will affect the determination of the body temperature value.
- the temperature sensor may produce a deviation in the measured value as the temperature of the human body increases. Accurate ambient temperature value. Specifically, the ambient temperature value measured by the external temperature sensor arranged outside the glasses body is obtained, and compared with the ambient temperature value measured by the temperature sensor on the glasses body, if the comparison result is inconsistent, that is, the external temperature sensor If the difference from the ambient temperature value measured by the temperature sensor on the glasses body is greater than the preset temperature difference, it is determined that the ambient temperature value measured by the temperature sensor on the glasses body is inaccurate. At this time, the ambient temperature value measured by the external temperature sensor is taken as the real value. The ambient temperature value improves the accuracy of measuring the ambient temperature.
- the room temperature change curve after the user wears the smart glasses for a long time, it can be judged whether the current room temperature has really changed, so as to determine the real value of the user's body temperature. Specifically, according to the indoor temperature value and measurement time measured by the temperature sensor, a corresponding relationship curve between the indoor temperature value and the measurement time is generated and saved. An example of the corresponding relationship curve can be seen in FIG. 5.
- the temperature sensor measures If the indoor temperature value continues to rise, compare the raised indoor temperature value and measurement time with the corresponding relationship curve, and if the raised indoor temperature value and measurement time conform to the corresponding relationship curve, That is, the corresponding relationship between the temperature value in the room after the rise and the measurement time, and the difference between the corresponding relationship curve meets the preset standard, such as the point corresponding to the temperature value in the room after the increase and the measurement time and the corresponding relationship curve.
- the distance is less than the preset distance, which means that the current increase in indoor temperature is due to the increase in the temperature of the user's head.
- the corresponding relationship curve find the historical body temperature value of the user before the temperature has not increased, and put the The historical body temperature value is determined as the current real body temperature value of the user; if the increased indoor temperature value and measurement time do not conform to the corresponding relationship curve, it means that the current indoor temperature increase is indeed a real increase, for example, the If the user goes from indoor to outdoor, the currently measured body temperature of the user is taken as the current real body temperature of the user.
- the user's real body temperature can be determined more accurately, and the accuracy of the smart glasses' measurement of human body temperature can be improved.
- the user's body temperature and/or the ultraviolet value in the environment are uploaded to the server, so that the server can obtain the user's body temperature and historical body temperature of the day according to the query operation of the user through the client (APP, application) , and/or, and/or, the ultraviolet values and historical ultraviolet values in the user's environment of the day are sent to the client for display.
- the server can obtain the user's body temperature and historical body temperature of the day according to the query operation of the user through the client (APP, application) , and/or, and/or, the ultraviolet values and historical ultraviolet values in the user's environment of the day are sent to the client for display.
- the server upload the user's body temperature value and/or the ultraviolet value in the environment to a server (such as a cloud server), so that the server analyzes whether the uploaded body temperature value exceeds the preset first analysis period.
- Body temperature reference value, and/or, whether the ultraviolet value exceeds the preset first ultraviolet reference value in the preset first analysis cycle; or, whether the body temperature value exceeds the preset value in the preset second analysis cycle The set first body temperature reference value, and/or, whether it exceeds the preset second ultraviolet reference value within the preset second analysis period, wherein the first body temperature reference value is greater than the second body temperature reference value, the first An ultraviolet reference value is greater than the second ultraviolet reference value, specifically, the first temperature reference value may be a reference value corresponding to the sum of body temperature values in the preset first analysis period, and the second temperature reference value may be the preset Set the reference value of the body temperature value in the second analysis cycle; the first ultraviolet reference value can be the reference value corresponding to the sum of the ultraviolet values in the preset first analysis cycle, and the second
- the long-term analysis of the ultraviolet data suffered by the user can be an analysis of 1 Whether the monthly cumulative ultraviolet value exceeds the first ultraviolet reference value, that is, whether the total ultraviolet value suffered by the user in the month is too high, or whether there is an ultraviolet value exceeding the second ultraviolet reference value in one day, That is, whether there is an excessively high extreme value of the ultraviolet rays that the user is exposed to during the day.
- the intelligence and convenience of body temperature value and ultraviolet value analysis can be further realized.
- the body temperature value exceeds the preset first body temperature reference value, and/or, the ultraviolet value exceeds the preset first ultraviolet reference value; or, in the second analysis period, the body temperature value exceeds the preset second body temperature reference value, and/or, the ultraviolet value exceeds the preset second ultraviolet reference value, then send health warning information and response information to the client, the health warning information is used to remind the user You may suffer from heat stroke. This response information is used to remind the user to go indoors, rest in a cool place, drink water, etc.
- the server such as a cloud server
- the server such as a cloud server
- the preset sending period or according to the user's query operation through the client the historical ultraviolet value in the user's preset period exceeds
- the preset UV reference value is marked, it is sent to the client for display.
- the historical ultraviolet value exceeding the preset ultraviolet reference value is an excessively high ultraviolet value determined by the processor of the smart glasses, which can be used for long-term analysis of the ultraviolet data suffered by the user.
- the preset ultraviolet reference value may include a preset first ultraviolet reference value and a second ultraviolet reference value, wherein the first ultraviolet reference value is greater than the second ultraviolet reference value, specifically, the first ultraviolet reference value It can be the reference value corresponding to the sum of the ultraviolet values in the preset first analysis cycle, and the second ultraviolet reference value can be the reference value of the ultraviolet value in the preset second analysis cycle, which can further realize the intelligence of ultraviolet value analysis and convenience.
- Marking can be a UV value that will exceed the preset UV reference value, marked by a font color, thickness or size different from the UV value that does not exceed the preset UV reference value, or it can be in the form of a generated chart.
- the sum of the ultraviolet values in the first analysis period, and/or, the marking of the ultraviolet values in the second analysis period is for the user to obtain the analysis results of the ultraviolet values in the environment more intuitively.
- the region may be a region divided according to geographical area, population or geographic characteristics, for example, a region with a similar geographical area or a similar population or similar geographical characteristics, or it may be a region divided according to the current administrative region.
- the preset group can be Groups of people defined by age, gender, or physical condition, such as young children, women, or those who are frail according to medical examination data.
- the health warning information and the response information will be sent to the client to remind the user that there is a high risk of heat stroke in the current area, and they can take shelter indoors in time and take measures such as cooling down .
- a prompt for the user's abnormal body temperature will be issued, which can be a voice prompt, prompting the user's body temperature to be too high or too low, and further reminding the user of the health risks at this time and the measures that can be taken to eliminate the abnormal body temperature It can also remind the user to seek medical treatment in time; the sending method can also be a light reminder, which can remind the user that the user's body temperature is too high or too low through different light colors.
- the preset user's body temperature value and/or the ultraviolet value in the environment, and the prompt information triggered by the preset user's body temperature value and/or the ultraviolet value in the environment can also be sent to the preset client, so that the The user checks the preset user's body temperature value and/or the ultraviolet value in the environment, as well as the prompt information through the client.
- the preset user includes: the user and/or associated users of the user.
- the preset user may include the associated user of the user, such as the monitoring responsible person of the user, specifically, family members such as children and the elderly, and personnel in other responsibilities such as patients.
- the preset client is the client set on the smart mobile terminal used by the user, through which the user can view the preset user's body temperature and/or the ultraviolet value in the environment, as well as the preset user's body temperature
- the prompt information triggered when the temperature value and/or the ultraviolet value in the environment is abnormal.
- the prompt information is that the preset user's body temperature is too low, and the temperature rise measures that need to be taken; for example, when the ultraviolet value is too high and reaches an abnormal value, the prompt information is that the preset user's environment ultraviolet intensity is too high , there is a risk of sunburn, and measures to avoid when entering the room; when the ultraviolet intensity is too low to abnormal, the prompt message is that the ultraviolet intensity of the default user's environment is too low, and the exposure to ultraviolet rays is insufficient, and more sunbathing and outdoor activities are required and other measures. In this way, the remote acquisition of the health information prompt of the preset user is realized, and the intelligence of the health information prompt is further improved.
- the body temperature data measured by the temperature sensor installed on the glasses body of the smart glasses is obtained, and it is judged according to the body temperature data whether the user's body temperature is abnormal, and if it is abnormal, a relevant reminder of abnormal body temperature will be issued.
- the body temperature data measured by the sensor is not easily affected by external factors, and the measurement accuracy of the body temperature data is high, thus improving the accuracy of judging the user's abnormal body temperature, thereby improving the accuracy of prompting abnormal body temperature.
- FIG. 4 is a schematic diagram of the implementation flow of the health information prompt method provided by an embodiment of the present application.
- the health information prompt method is applied to the smart glasses in the above-mentioned embodiments, and the execution subject may be the processor of the smart glasses.
- the method includes:
- step S403 is executed to further determine whether the temperature is abnormal.
- the preset body temperature threshold is a relatively high body temperature, for example, the body temperature at which a human body may suffer from heatstroke, and the preset body temperature threshold may be 38°C.
- step S404 is executed.
- step S405 If it exceeds, execute step S405; if not, execute step S406.
- the body temperature is abnormally high and the ultraviolet rays are strong, which makes it easy to suffer from heat stroke.
- the warning information is to remind the user that he may suffer from heat stroke
- the response information is to remind the user to take steps to enter the room, rest in a cool place, and drink water.
- the body temperature data measured by the temperature sensor on the glasses body is obtained, and it is judged whether the user's body temperature is abnormal according to the body temperature data. If it is abnormal, it is judged whether the user's body temperature reaches the preset body temperature threshold.
- the ultraviolet value measured by the sensor will determine whether the ultraviolet value exceeds the preset ultraviolet value. If it exceeds, a health warning message and a response message will be issued to remind the user that they may suffer from heatstroke. Fortunately affected by external factors, the measurement accuracy of body temperature data and ultraviolet light data is high, so the accuracy of judging whether the user's body temperature is abnormal and whether the ultraviolet rays are strong is improved, thereby improving the accuracy of prompting the user that they may suffer from heat stroke.
- Fig. 6 is a schematic structural diagram of a health information prompting device provided by an embodiment of the present application.
- the health information prompting device may be the processor of the smart glasses, or a unit in the processor. For the convenience of description , only shows the part related to the embodiment of the present application.
- the health information prompt device includes:
- An acquisition module 601 configured to acquire body temperature data measured by a temperature sensor disposed on the glasses body of the smart glasses;
- a judging module 602 configured to judge whether the user's body temperature is abnormal according to the body temperature data
- the prompt module 603 is configured to issue a prompt that the user's body temperature is abnormal if it is determined that the user's body temperature is abnormal.
- the judging module 602 is also used to count all the body temperature values measured within the preset period, to eliminate the body temperature values higher than the preset maximum limit value or lower than the preset minimum limit value, and calculate the remaining body temperature values The average value, if the average value exceeds the preset normal value range, it is confirmed that the user's body temperature is abnormal; If the number of times is set, it is confirmed that the user's body temperature is abnormal.
- the health information prompting device also includes a processing module
- the processing module is configured to generate and save a corresponding relationship curve between the indoor temperature value and the measurement time according to the indoor temperature value and measurement time measured by the temperature sensor;
- the currently measured body temperature value of the user is taken as the current real body temperature value of the user.
- the obtaining module 601 is also used to obtain the ambient temperature value measured by the external temperature sensor arranged outside the glasses body;
- the judging module 602 is also used to compare the ambient temperature value with the ambient temperature value measured by the temperature sensor on the glasses body. If the comparison result is inconsistent, the ambient temperature value measured by the external temperature sensor is regarded as the real value. Ambient temperature value.
- the judging module 602 is also used to judge whether the user's body temperature reaches a preset body temperature threshold if the user's body temperature is abnormal;
- the obtaining module 601 is also used to obtain the ultraviolet value measured by the ultraviolet sensor arranged on the glasses body of the smart glasses if it arrives;
- the judging module 602 is also used to judge whether the ultraviolet value exceeds the preset ultraviolet value
- the prompting module 603 is further configured to issue health warning information and response information if the ultraviolet value exceeds the preset ultraviolet value.
- the prompting module 603 is also used to upload the user's body temperature value and/or the ultraviolet value in the environment to the server, so that the server can obtain the user's body temperature value and historical body temperature value of the day according to the user's query operation through the client, and /or, the ultraviolet value and historical ultraviolet value in the user's environment of the day are sent to the client for display.
- the prompting module 603 is also used to upload the user's body temperature value and/or the ultraviolet value in the environment to the server, so that the server analyzes whether the uploaded body temperature value and/or the ultraviolet value are within the preset first Exceeding the preset first body temperature reference value and/or the preset first ultraviolet reference value during the analysis period, or whether exceeding the preset second body temperature reference value and/or the preset
- the second ultraviolet reference value the first body temperature reference value is greater than the second body temperature reference value, the first ultraviolet reference value is greater than the second ultraviolet reference value, if in the first analysis cycle, the body temperature exceeds the preset a predetermined first body temperature reference value, and/or, the ultraviolet value exceeds the predetermined first ultraviolet reference value, or, if in the second analysis period, the body temperature value exceeds the predetermined second body temperature reference value , and/or, the ultraviolet value exceeds the preset second ultraviolet reference value, then send the health warning information and the response information to the client;
- the prompting module 603 is also used to confirm the area where the user is currently located, and upload the detected body temperature value and/or ultraviolet value in the environment of the user to the server, so that the server can judge according to the preset big data analysis method Among the preset population in the area, whether the number of people whose body temperature exceeds the preset body temperature warning value exceeds the preset number, and/or whether the number of people whose ultraviolet value exceeds the preset ultraviolet warning value exceeds the preset number, if the area’s Among the preset crowd, if the number of people whose body temperature exceeds the preset body temperature warning value exceeds the preset number, and/or, the number of people whose ultraviolet value exceeds the preset ultraviolet warning value exceeds the preset number, the client will be sent Send the health warning message and the response message.
- the prompt module 603 is also used to send the preset user's body temperature value and/or the ultraviolet value in the environment, and the prompt information triggered when the preset user's body temperature value and/or the ultraviolet value in the environment are abnormal, to the preset customer terminal, so that the user can view the preset user's body temperature and/or ultraviolet value in the environment, as well as the prompt information through the client.
- the preset user includes: the associated user of the user.
- the body temperature data measured by the temperature sensor on the glasses body is obtained, and it is judged whether the user's body temperature is abnormal according to the body temperature data. If it is abnormal, it is judged whether the user's body temperature reaches the preset body temperature threshold.
- the ultraviolet value measured by the sensor will determine whether the ultraviolet value exceeds the preset ultraviolet value. If it exceeds, a health warning message and a response message will be issued to remind the user that they may suffer from heatstroke. Fortunately affected by external factors, the measurement accuracy of body temperature data and ultraviolet light data is high, so the accuracy of judging whether the user's body temperature is abnormal and whether the ultraviolet rays are strong is improved, thereby improving the accuracy of prompting the user that they may suffer from heat stroke.
- the embodiment of the present application also provides a computer-readable storage medium
- the computer-readable storage medium can be set in the smart glasses in the above-mentioned embodiments
- the computer-readable storage medium can be the memory.
- a computer program is stored on the computer-readable storage medium, and when the program is executed by a processor, the health information prompting method described in the embodiment shown in FIG. 3 and FIG. 4 is implemented.
- the computer storage medium may also be a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), RAM, a magnetic disk or an optical disk, and other media that can store program codes.
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Abstract
一种智能眼镜、健康信息提示方法及装置,其中智能眼镜包括:眼镜本体和若干温度传感器,和/或紫外线传感器,和/或外置的温度传感器,温度传感器设置在眼镜本体的内侧,且与用户皮肤接触部位的距离小于预设距离的位置,该健康信息提示方法利用上述智能眼镜测量的体温值判断用户体温是否异常,若异常则及时提示用户。上述智能眼镜、健康信息提示方法及装置可提高测量用户体温的准确度,以及提高对用户健康信息提示的准确度。
Description
本申请要求于2021年9月3日提交至中国国家知识产权局专利局、申请号为CN
2021110319456、名称为“智能眼镜、健康信息提示方法及装置”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
本申请实施例涉及智能穿戴设备技术领域,尤其涉及一种智能眼镜、健康信息提示方法及装置。
随着智能设备的发展,用户使用智能穿戴设备测量人体的运动参数、生物参数以及环境参数等,用户可通过查看智能穿戴设备的界面获得测量结果。
生物参数是表征人体健康的重要参数,对于人体的生物参数,最常见的是通过智能手表检测人体的心跳、血压、呼吸、体温和血氧饱和度等。其中,在测量体温时,由于人体手腕的温度很容易受偶然因素影响,例如洗手也会影响手腕温度等,所以通过智能手表量度的体温会存在偏差,从而影响对用户健康信息提示的准确性。
本申请实施例提供一种智能眼镜、健康信息提示方法及装置,可解决在偶然因素影响下出现的测量体温存在偏差,并影响提示用户健康信息准确性的问题。
本申请实施例一方面提供了一种智能眼镜,包括:
眼镜本体和若干温度传感器;
所述温度传感器设置在所述眼镜本体的内侧,且与用户皮肤接触部位的距离小于预设距离的位置。
进一步地,所述温度传感器设置在所述眼镜本体的镜腿的内侧、前框上沿的内侧以及前框下沿的内侧中的一处或几处。
进一步地,所述温度传感器用于测量所述用户的体温和/或所述用户的环境温度。
进一步地,所述智能眼镜还包括至少一个紫外线传感器;
所述紫外线传感器设置在所述前框的外侧以及所述镜腿的外侧的一处或几处。
进一步地,若干所述紫外线传感器设置在所述前框的上表面。
进一步地,所述智能眼镜还包括若干外置的温度传感器;
所述外置的温度传感器设置在所述前框的外侧以及所述镜腿的外侧的一处或几处。
进一步地,所述外置的温度传感器用于测量所述用户的环境温度。
本申请实施例一方面还提供了一种健康信息提示方法,应用于上述智能眼镜,包括:
获取设置在所述智能眼镜的眼镜本体上的温度传感器测量的体温数据;
根据所述体温数据,判断用户的体温是否异常;
若是,则发出所述用户体温异常的提示。
本申请实施例一方面还提供一种健康信息提示装置,包括:
获取模块,用于获取设置在智能眼镜的眼镜本体上的温度传感器测量的体温数据;
判断模块,用于根据所述体温数据,判断用户的体温是否异常;
提示模块,用于若判断所述用户体温异常,则发出所述用户体温异常的提示。
从上述本申请各实施例可知,该智能眼镜包括眼镜本体和若干温度传感器,温度传感器设置在眼镜本体的内侧,且与用户皮肤接触部位的距离小于预设距离的位置,由于人体的脸部温度受外界因素影响小,且温度传感器设置在距离皮肤较近的位置,容易获得更准确的人体温度,可提高测量体温的准确性。
从上述本申请各实施例可知,该智能眼镜包括眼镜本体和若干温度传感器,温度传感器设置在眼镜本体的内侧,且与用户皮肤接触部位的距离小于预设距离的位置,由于人体的脸部温度受外界因素影响小,且温度传感器设置在距离皮肤较近的位置,容易获得更准确的人体温度,可提高测量体温的准确性。
为了更清楚地说明本申请实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍,显而易见地,下面描述中的附图是本申请的一些实施例,对于本领域技术人员来讲,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。
图1为本申请一实施例提供的智能眼镜的结构示意图;
图2为本申请另一实施例提供的智能眼镜的结构示意图;
图3为本申请一实施例提供的健康信息提示方法的实现流程图;
图4为本申请另一实施例提供的健康信息提示方法的实现流程图;
图5为本申请一实施例提供的健康信息提示方法中的室内温度值与测量时间的对应关系曲线示意图;
图6为本申请一实施例提供的健康信息提示装置的结构示意图。
在此处键入本发明的最佳实施方式描述段落。
为使本申请实施例的目的、技术方案和优点更加清楚,下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本申请一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。
本申请实施例提供了一种智能眼镜,该智能眼镜的眼镜本体上安装有若干温度传感器,可以测量用户的人体温度,该温度传感器设置在眼镜本体的内侧,且在眼镜本体与该用户的皮肤接触部位之间的距离小于预设距离的位置,即设置在眼镜本体内侧且与用户的皮肤距离较近的位置,以保证测量人体温度的准确性,并且还可以测量用户周围的环境温度,即温度传感器用于测量用户的体温和/或用户的环境温度。
具体地,若干该温度传感器的设置位置,可以设置在眼镜本体的镜腿的内侧、前框上沿的内侧和前框下沿内侧的一处或几处,几处是指两处及以上。该温度传感器可以是一个,也可以是大于一个,当温度传感器大于一个时,可均匀分布也可不均匀分布在上述位置的几处。
参见图1,图1为本申请一实施例提供的智能眼镜的结构示意图。为了便于说明,仅示出了与本申请实施例相关的部分。如图1所示,该智能眼镜包括眼镜本体10和若干温度传感器20,其中眼镜本体包括镜腿11和前框12。温度传感器20设置在眼镜本体10的镜腿11的内侧、前框12上沿的内侧以及前框12下沿的内侧。图1示例性地示出了三个温度传感器20的设置位置,任意数量的温度传感器20设置在镜腿11的其他位置,以及,设置在前框12的其他位置也在本申请的保护范围内。
本申请实施例中,该智能眼镜包括眼镜本体和若干温度传感器,温度传感器设置在眼镜本体的内侧,且与用户皮肤接触部位的距离小于预设距离的位置,由于人体的脸部温度受外界因素影响小,且温度传感器设置在距离皮肤较近的位置,容易获得更准确的人体温度,可提高测量体温的准确性。
本申请另一实施例中,该智能眼镜还包括若干紫外线传感器,用于测量人体周围的紫外线含量,紫外线传感器设置在智能眼镜眼镜本体的前框的外侧以及镜腿的外侧的一处或几处,这些位置可以更好的接收阳光的照射,测量的紫外线数值较为准确。该紫外线传感器可以是一个,也可以是大于一个,当紫外线传感器大于一个时,可均匀分布也可不均匀分布在上述位置的几处。具体地,若干该紫外线传感器设置在前框12的上表面。
参见图2,图2为本申请另一实施例提供的智能眼镜的结构示意图。图2中以两个紫外线传感器为例,两个紫外线传感器30分别设置在前框12的上表面的两侧。在图2中,在前框12的上沿中心内侧还设置有一个温度传感器20。需要说明的,图2只是一个示例,在本申请的实施例中,若干温度传感器和若干紫外线传感器可以分别或同时设置在该智能眼镜上。
本申请实施例中,该智能眼镜包括眼镜本体、若干温度传感器和若干紫外线传感器,温度传感器设置在眼镜本体的镜腿的内侧、前框上沿的内侧以及前框下沿的内侧中的一处或几处,紫外线传感器设置在前框的外侧以及镜腿的外侧的一处或几处,头部遮挡少,更容易吸收阳光,紫外线含量的测量值准确,该知智能眼镜可同时测得人体温度、室外温度和环境中的紫外线含量,测量值准确且全面,为评估人体健康的内在因素和外在因素提供更准确的依据,提高智能眼镜的实用性和智能性。
进一步地,温度传感器所量度的室温是温度传感器的IC(integrated
circuit)自身的温度。当用户戴上该智能眼镜一段时间后,由于头部的温度变化会影响该智能眼镜的温度,令温度传感器的IC温度也随着上升,从而测量到的室温也持续上升,估此不能准确反映出真实的室温温度,导致测量出的人体温度也受到影响。
在另一实施例中,为了进一步增强智能眼镜测量人体温度和环境温度的准确性,该智能眼镜还包括若干外置的温度传感器,外置的温度传感器设置在前框12的外侧以及镜腿11的外侧的一处或几处,外置的温度传感器用于测量用户的环境温度。
本申请实施例中,为智能眼镜设置外置的温度传感器,该温度传感器不贴近头部,受头部温度的影响较小,相对于贴近头部的温度传感器,可更为准确的测量出环境温度和人体温度。
本身请实施例还提供了基于上述各实施例中的智能眼镜的健康信息提示方法,下面进行详细说明。
参见图3,图3为本申请一实施例提供的健康信息提示方法的实现流程示意图,该健康信息提示方法是应用于上述各实施例中的智能眼镜,执行主体可以是智能眼镜的处理器,该方法包括:
S301、获取设置在该智能眼镜的眼镜本体上的温度传感器测量的体温数据;
智能眼镜的处理器,获取每一个温度传感器测量的用户的人体温度数据。
S302、根据该体温数据,判断用户的体温是否异常;
判断方式可以是通过计算平均体温判断:统计预设周期内测量的所有体温值,将高于预设的最大极限值或低于预设的最小极限值的无效体温值去掉,求剩余有效体温值的平均值,该平均值即为用户的体温,若该平均值超出预设的正常值范围,则确认该用户的体温异常。
示例性地,该预设周期可以是1分钟;该最大极限值可以是45℃,最小极限值可以是30℃;该正常值范围可以是36~37℃。
计算方式也可以是通过统计体温异常次数判断:统计该预设周期内的所有体温值,若超过该预设的正常值范围的次数大于预设次数,则确认用户的体温异常。
示例性地,该预设次数可以为3次。
体温异常可以是指用户体温异常的高,也可以是用户体温异常的低。
进一步地,温度传感器测量的环境温度值会影响体温值的确定,该温度传感器可随着人体的温度升高而产生测量值有偏差,为了纠正此偏差,可通过外置的温度传感器测量得到更准确的环境温度值。具体地,获取设置在眼镜本体外部的外置的温度传感器测量的环境温度值,并与眼镜本体上的温度传感器测量的环境温度值进行对比,若对比结果为不相符,即外置的温度传感器和眼镜本体上的温度传感器测量的环境温度值的差大于预设温差,则确定眼镜本体上的温度传感器测量的环境温度值不准确,此时将外置的温度传感器测量的环境温度值作为真实环境温度值,提高了测量环境温度的准确度。
进一步地,还可通过学习用户长时间佩戴该智能眼镜后的室温变化曲线,判断当前室温是否真实的发生了变化,从而确定用户体温的真实值。具体地,根据该温度传感器测量的室内温度值和测量时间,生成并保存该室内温度值与该测量时间的对应关系曲线,该对应关系曲线的一个示例可参见图5,当该温度传感器测量的室内的温度值继续升高,则将升高后的室内的温度值和测量时间,与该对应关系曲线进行对比,若该升高后的室内的温度值和测量时间与该对应关系曲线符合,即该升高后的室内的温度值和测量时间的对应关系,与该对应关系曲线的差别符合预设标准,如该升高后的室内的温度值和测量时间对应的点与该对应关系曲线的距离小于预设距离,表示当前室内温度的升高是由于用户头部的温度升高所致,因此根据该对应关系曲线,查找温度未升高之前的该用户的历史体温值,并将该历史体温值确定为该用户当前的真实体温值;若该升高后的室内的温度值和测量时间与该对应关系曲线不符合,表示当前室内温度的升高确实是真实的升高,例如该用户从室内走到室外所致,则将当前测量的该用户的体温值,作为该用户当前的真实体温值。可以更精确地确定用户的真实体温值,提高智能眼镜测量人体温度的准确性。
进一步地,将该用户的体温值和/或环境中的紫外线数值上传到服务器,使得该服务器根据该用户通过客户端(APP,application)的查询操作,将该用户当天的体温值和历史体温值,和/或,和/或,所述用户当天的环境中的紫外线数值和历史紫外线数值发送到该客户端进行显示。提高用户操作的便捷性。
或者,将该用户的体温值和/或环境中的紫外线数值上传到服务器(例如云端服务器),使得该服务器分析上传的该体温值是否在预设的第一分析周期内超过预设的第一体温参考值,和/或,该紫外线数值是否在该预设的第一分析周期内超过预设的第一紫外线参考值;或者,该体温值是否在预设的第二分析周期内超过该预设的第一体温参考值,和/或,是否在该预设的第二分析周期内超过预设的第二紫外线参考值,其中该第一体温参考值大于该第二体温参考值,该第一紫外线参考值大于该第二紫外线参考值,具体地,该第一温度参考值可以是该预设第一分析周期内体温值之和对应的参考值,该第二温度参考值可以是该预设第二分析周期内体温值的参考值;该第一紫外线参考值可以是预设第一分析周期内紫外线数值之和对应的参考值,该第二紫外线参考值可以是预设第二分析周期内紫外线数值的参考值,以紫外线数值为例,例如,该第一分析周期是1个月,该第二分析周期是1天,对应地,长期分析该用户承受的紫外线数据可以是分析1个月累积紫外线数值是否超过该第一紫外线参考值,即在该1个月中该用户承受的总紫外线数值是否过高,还可以是分析1天内是否有超过该第二紫外线参考值的紫外线数值,即在该1天中该用户承受的紫外线是否存在过高的极值。可以进一步实现体温值和紫外线值分析的智能性和便捷性。
若在该第一分析周期内,体温值超过该预设的第一体温参考值,和/或,紫外线数值超过该预设的第一紫外线参考值;或,在该第二分析周期内,体温值超过该预设的第二体温参考值,和/或,紫外线数值超过该预设的第二紫外线参考值,则向该客户端发送健康警示信息和应对信息,该健康警示信息用于提醒用户可能会中暑,该应对信息用于提示用户采取进入室内、在阴凉地方休息和喝水等。
或者,将该用户环境中的紫外线数值传到服务器(例如云端服务器),并按照预设的发送周期或者根据该用户通过该客户端的查询操作,将该用户预设周期内的历史紫外线数值中超过预设紫外线参考值进行标记后,发送到该客户端进行显示。
其中,超过该预设紫外线参考值的历史紫外线值,为该智能眼镜的处理器认定的过高的紫外线数值,可以用于长期分析该用户承受的紫外线数据。具体地,该预设紫外线参考值可包括预设的第一紫外线参考值和第二紫外线参考值,其中该第一紫外线参考值大于该第二紫外线参考值,具体地,该第一紫外线参考值可以是预设的第一分析周期内紫外线数值之和对应的参考值,该第二紫外线参考值可以是预设的第二分析周期内紫外线数值的参考值,可以进一步实现紫外线值分析的智能性和便捷性。
标记可以是将超过该预设紫外线参考值的紫外线值,通过不同于没超过该预设紫外线参考值的紫外线值的字体颜色、粗细或大小等格式标记,也可以是以生成图表的形式将该第一分析周期内的紫外线数值之和,和/或,该第二分析周期内的紫外线数值进行标记,目的都是为了用户更直观地获取环境中紫外线数值的分析结果。
进一步地,可以使用大数据分析为以地区为单位的人群提供中暑风险的分析和提示。该地区可以是按照地域面积、人口数量或地理特性划分的区域,例如地域面积相当或者人口数量相当或者地理特性类似,也可以是按照当前的行政区域划分的区域。
确认该用户当前所处的地区,将检测得到的该用户的体温值和/或环境中的紫外线数值上传到服务器(例如云端服务器),使得该服务器按照预设的大数据分析方法,判断该地区的预设人群中,该体温值超过预设体温预警值的人数否超过预设人数,和/或,该紫外线数值超过预设紫外线预警值的人数否超过预设人数,该预设人群可以是按照年龄、性别或身体状况设定的人群,例如幼儿、女性或者体检数据显示体弱的人群。若该地区的该预设人群中,体温值超过该预设体温预警值的人超过该预设人数,和/或,紫外线数值超过该预设紫外线预警值的人超过该预设人数,说明该地区的预设人群中处于中暑风险的人数较多,则向该客户端发送该健康警示信息和该应对信息,提醒用户当前地区存在较高的中暑风险,可及时躲避到室内、进行降温等措施。
S303、若是,则发出该用户体温异常的提示。
若判断用户的体温异常,则发出该用户体温异常的提示,发出方式可以是语音提示,提示用户体温过高或过低,并可以进一步提示用户此时的健康风险,以及消除异常体温可采取的方式,还可以提示用户及时就医;发出方式也可以是亮灯提示,可通过不同的灯光颜色提示用户体温过高或过低。
进一步地,还可将预设用户的体温值和/或环境中的紫外线数值,以及预设用户的体温值和/或环境中的紫外线数值触发的提示信息,发送到预设客户端,使得该用户通过该客户端查看该预设用户的体温值和/或环境中的紫外线数值,以及该提示信息,该预设用户包括:所述用户和/或所述用户的关联用户。
其中,预设用户可包括该用户的关联用户,例如该用户的监测责任人员,具体可以是小孩和老人等家庭成员,以及病人等其他职责范围的人员等。
该预设客户端为该用户使用的智能移动终端上设置的客户端,该用户可以通过该客户端查看该预设用户的体温值和/或环境中的紫外线数值,以及该预设用户的体温值和/或环境中的紫外线数值异常时触发的提示信息,例如,体温值过高达到异常时,提示信息为提示该预设用户体温值过高,以及需要采取的降温措施等;体温值过低达到异常时,提示信息为该预设用户体温值过低,以及需要采取的升温措施等;又例如,紫外线数值过高达到异常时,提示信息为该预设用户所处环境紫外线强度过高,有晒伤风险,以及进入室内躲避的措施;紫外线强度过低达到异常时,提示信息为该预设用户所处环境紫外线强度过低,所接触的紫外线不足,需增加晒太阳、多室外活动等措施。从而实现远程获取该预设用户的健康信息的提示,进一步提高健康信息提示的智能性。
本申请实施例中,获取设置在该智能眼镜的眼镜本体上的温度传感器测量的体温数据,根据该体温数据判断用户的体温是否异常,若异常则发出体温异常的相关提示,眼镜本体上的温度传感器测量的体温数据不容易受到外界因素的影响,体温数据的测量准确度高,因此提高了判断用户体温异常的准确度,从而提高了提示体温异常的准确度。
参见图4,图4为本申请一实施例提供的健康信息提示方法的实现流程示意图,该健康信息提示方法是应用于上述各实施例中的智能眼镜,执行主体可以是智能眼镜的处理器,该方法包括:
S401、获取设置在该智能眼镜的眼镜本体上的温度传感器测量的体温数据;
S402、根据该体温数据,判断用户的体温是否异常;
若该用户体温异常,则执行步骤S403,进一步判断是否为高温异常。
S403、判断用户体温是否到达预设体温阈值;
该预设体温阈值是较高的体温值,例如是人体可能发生中暑所达到的体温值,该预设体温阈值可以是38℃。
若达到该预设体温阈值,则执行步骤S404。
S404、获取设置在该智能眼镜的眼镜本体上的紫外线传感器测量的紫外线数值;
S405、判断该紫外线数值是否超过预设紫外线值;
若超过,则执行步骤S405;若未超过,则执行步骤S406。
S406、发出健康警示信息和应对信息;
体温异常高且紫外线强烈,很容易发生中暑。通过语音或闪光方式发出用户健康的警示信息和应对信息,该警示信息是提醒用户可能会中暑,应对信息是提示用户采取进入室内、在阴凉地方休息和喝水等。
S407、发出该用户体温异常的提示。
本实施例中的未尽细节参见前述各实施例的描述。
本申请实施例中,获取眼镜本体上温度传感器测量的体温数据,根据该体温数据判断用户的体温是否异常,若异常则判断用户体温是否到达预设体温阈值,若达到则取眼镜本体上的紫外线传感器测量的紫外线数值,并判断该紫外线数值是否超过预设紫外线值,若超过,则发出健康警示信息和应对信息,提示用户可能会中暑,由于眼镜本体上的温度传感器和紫外线传感器测量的数据不容易受到外界因素的影响,体温数据和紫外线数据的测量准确度高,因此提高了判断用户体温异常的准确度,以及紫外线是否强烈的准确度,从而提高了提示用户可能会中暑的准确度。
参见图6,图6为本申请一实施例提供的健康信息提示装置的结构示意图,该健康信息提示装置可以是该智能眼镜的处理器,也可以是该处理器中的一个单元,为了便于说明,仅示出了与本申请实施例相关的部分。该健康信息提示装置包括:
获取模块601,用于获取设置在智能眼镜的眼镜本体上的温度传感器测量的体温数据;
判断模块602,用于根据该体温数据,判断用户的体温是否异常;
提示模块603,用于若判断该用户体温异常,则发出该用户体温异常的提示。
进一步地,判断模块602,还用于统计预设周期内测量的所有体温值,将高于预设的最大极限值或低于预设的最小极限值的体温值剔除,求其余的体温值的平均值,若该平均值超出预设的正常值范围,则确认该用户的体温异常;或者,统计该预设周期内测量的所有体温值,若超过该预设的正常值范围的次数大于预设次数,则确认该用户的体温异常。
进一步地,该健康信息提示装置还包括处理模块;
该处理模块,用于根据该温度传感器测量的室内温度值和测量时间,生成并保存该室内温度值与该测量时间的对应关系曲线;
当该温度传感器测量的室内的温度值继续升高,则将升高后的室内的温度值和测量时间,与该对应关系曲线进行对比;
若该升高后的室内的温度值和测量时间与该对应关系曲线符合,则根据该对应关系曲线,确定该用户当前的真实体温值;
若该升高后的室内的温度值和测量时间与该对应关系曲线不符合,则将当前测量的该用户的体温值,作为该用户当前的真实体温值。
进一步地,获取模块601,还用于获取设置在该眼镜本体外部的外置的温度传感器测量的环境温度值;
判断模块602,还用于将该环境温度值,与该眼镜本体上的温度传感器测量的环境温度值进行对比,若对比结果为不相符,则将外置的温度传感器测量的环境温度值作为真实环境温度值。
判断模块602,还用于若该用户体温异常,则判断该用户体温是否到达预设体温阈值;
获取模块601,还用于若到达,则获取设置在该智能眼镜的眼镜本体上的紫外线传感器测量的紫外线数值;
判断模块602,还用于判断该紫外线数值是否超过预设紫外线值;
若是,则提示模块603,还用于若该紫外线数值超过该预设紫外线值,则发出健康警示信息和应对信息。
提示模块603,还用于将该用户的体温值和/或环境中的紫外线数值上传到服务器,使得该服务器根据该用户通过客户端的查询操作,将该用户当天的体温值和历史体温值,和/或,该用户当天的环境中的紫外线数值和历史紫外线数值发送到该客户端进行显示。
提示模块603,还用于将该用户的体温值和/或环境中的紫外线数值上传到该服务器,使得该服务器分析上传的该体温值和/或该紫外线数值,是否分别在预设的第一分析周期内超过预设的第一体温参考值和/或预设的第一紫外线参考值,或,是否在预设的第二分析周期内超过预设的第二体温参考值和/或预设的第二紫外线参考值,该第一体温参考值大于该第二体温参考值,该第一紫外线参考值大于该第二紫外线参考值,若在该第一分析周期内,该体温值超过该预设的第一体温参考值,和/或,该紫外线数值超过该预设的第一紫外线参考值,或,若在该第二分析周期内,该体温值超过该预设的第二体温参考值,和/或,该紫外线数值超过该预设的第二紫外线参考值,则向该客户端发送该健康警示信息和该应对信息;
提示模块603,还用于确认该用户当前所处的地区,将检测得到的该用户的体温值和/或环境中的紫外线数值上传到服务器,使得该服务器按照预设的大数据分析方法,判断该地区的预设人群中,该体温值超过预设体温预警值的人数是否超过预设人数,和/或,该紫外线数值超过预设紫外线预警值的人数是否超过预设人数,若该地区的预设人群中,该体温值超过该预设体温预警值的人超过该预设人数,和/或,该紫外线数值超过该预设紫外线预警值的人超过该预设人数,则向该客户端发送该健康警示信息和该应对信息。
提示模块603,还用于将预设用户的体温值和/或环境中的紫外线数值,以及预设用户的体温值和/或环境中的紫外线数值异常时触发的提示信息,发送到预设客户端,使得该用户通过该客户端查看该预设用户的体温值和/或环境中的紫外线数值,以及该提示信息,该预设用户包括:该用户的关联用户。
本实施例中的未尽细节参见前述各实施例的描述。
本申请实施例中,获取眼镜本体上温度传感器测量的体温数据,根据该体温数据判断用户的体温是否异常,若异常则判断用户体温是否到达预设体温阈值,若达到则取眼镜本体上的紫外线传感器测量的紫外线数值,并判断该紫外线数值是否超过预设紫外线值,若超过,则发出健康警示信息和应对信息,提示用户可能会中暑,由于眼镜本体上的温度传感器和紫外线传感器测量的数据不容易受到外界因素的影响,体温数据和紫外线数据的测量准确度高,因此提高了判断用户体温异常的准确度,以及紫外线是否强烈的准确度,从而提高了提示用户可能会中暑的准确度。
进一步的,本申请实施例还提供了一种计算机可读存储介质,该计算机可读存储介质可以是设置于上述各实施例中的智能眼镜中,该计算机可读存储介质可以是智能眼镜中的存储器。该计算机可读存储介质上存储有计算机程序,该程序被处理器执行时实现前述图3和图4所示实施例中描述的健康信息提示方法。进一步的,该计算机可存储介质还可以是U盘、移动硬盘、只读存储器(ROM,Read-Only Memory)、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
需要说明的是,对于前述的各方法实施例,为了简便描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本申请并不受所描述的动作顺序的限制,因为依据本申请,某些步骤可以采用其它顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述的实施例均属于优选实施例,所涉及的动作和模块并不一定都是本申请所必须的。
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详述的部分,可以参见其它实施例的相关描述。
以上为对本申请所提供的智能眼镜、健康信息提示方法及装置的描述,对于本领域的一般技术人员,依据本申请实施例的思想,在具体实施方式及应用范围上均会有改变之处,综上,本说明书内容不应理解为对本申请的限制。
在此处键入工业实用性描述段落。
在此处键入序列表自由内容描述段落。
Claims (21)
- 一种智能眼镜,其特征在于,包括:眼镜本体和若干温度传感器;所述温度传感器设置在所述眼镜本体的内侧,且与用户皮肤接触部位的距离小于预设距离的位置。
- 根据权利要求1所述的智能眼镜,其特征在于,所述温度传感器设置在所述眼镜本体的镜腿的内侧、前框上沿的内侧以及前框下沿的内侧中的一处或几处。
- 根据权利要求1所述的智能眼镜,其特征在于,所述温度传感器用于测量所述用户的体温和/或所述用户的环境温度。
- 根据权利要求1所述的智能眼镜,其特征在于,所述智能眼镜还包括至少一个紫外线传感器;所述紫外线传感器设置在所述前框的外侧以及所述镜腿的外侧的一处或几处。
- 根据权利要求4所述的智能眼镜,其特征在于,若干所述紫外线传感器设置在所述前框的上表面。
- 根据权利要求5所述的智能眼镜,其特征在于,所述紫外线传感器的数量为两个,两个所述紫外线传感器分别设置在所述前框的上表面的两侧。
- 根据权利要求1所述的智能眼镜,其特征在于,所述智能眼镜还包括若干外置的温度传感器;所述外置的温度传感器设置在所述前框的外侧以及所述镜腿的外侧的一处或几处。
- 根据权利要求7所述的智能眼镜,其特征在于,所述外置的温度传感器用于测量所述用户的环境温度。
- 一种健康信息提示方法,应用于如权利要求1-8任一项所述的智能眼镜,其特征在于,包括:获取设置在所述智能眼镜的眼镜本体上的温度传感器测量的体温数据;根据所述体温数据,判断用户的体温是否异常;若是,则发出所述用户体温异常的提示。
- 根据权利要求9所述的方法,其特征在于,所述根据所述体温数据,判断用户的体温是否异常包括:统计预设周期内测量的所有体温值,将高于预设的最大极限值或低于预设的最小极限值的体温值剔除,求其余的体温值的平均值,若所述平均值超出预设的正常值范围,则确认所述用户的体温异常;或者,统计所述预设周期内测量的所有体温值,若超过所述预设的正常值范围的次数大于预设次数,则确认所述用户的体温异常。
- 根据权利要求10所述的方法,其特征在于,所述方法还包括:获取设置在所述眼镜本体外部的外置的温度传感器测量的环境温度值,并与所述眼镜本体上的温度传感器测量的环境温度值进行对比;若对比结果为不相符,则将外置的温度传感器测量的环境温度值作为真实环境温度值。
- 根据权利要求10所述的方法,其特征在于,所述方法还包括:若所述用户体温异常,则判断所述用户体温是否到达预设体温阈值;若到达,则获取设置在所述智能眼镜的眼镜本体上的紫外线传感器测量的紫外线数值;判断所述紫外线数值是否超过预设紫外线值,若是,则发出健康警示信息和应对信息。
- 根据权利要求12所述的方法,其特征在于,所述方法还包括:将所述用户的体温值和/或环境中的紫外线数值上传到服务器,使得所述服务器根据所述用户通过客户端的查询操作,将所述用户当天的体温值和历史体温值,和/或,所述用户当天的环境中的紫外线数值和历史紫外线数值发送到所述客户端进行显示;或者,将所述用户的体温值和/或环境中的紫外线数值上传到所述服务器,使得所述服务器分析上传的所述体温值和/或所述紫外线数值,是否分别在预设的第一分析周期内超过预设的第一体温参考值和/或预设的第一紫外线参考值,或,是否在预设的第二分析周期内超过预设的第二体温参考值和/或预设的第二紫外线参考值,所述第一体温参考值大于所述第二体温参考值,所述第一紫外线参考值大于所述第二紫外线参考值,若在所述第一分析周期内,所述体温值超过所述预设的第一体温参考值,和/或,所述紫外线数值超过所述预设的第一紫外线参考值,或,若在所述第二分析周期内,所述体温值超过所述预设的第二体温参考值,和/或,所述紫外线数值超过所述预设的第二紫外线参考值,则向所述客户端发送所述健康警示信息和所述应对信息。
- 根据权利要求12所述的方法,其特征在于,所述方法还包括:确认所述用户当前所处的地区,将检测得到的所述用户的体温值和/或环境中的紫外线数值上传到服务器,使得所述服务器按照预设的大数据分析方法,判断所述地区的预设人群中,所述体温值超过预设体温预警值的人数是否超过预设人数,和/或,所述紫外线数值超过预设紫外线预警值的人数是否超过预设人数,若所述地区的预设人群中,所述体温值超过所述预设体温预警值的人超过所述预设人数,和/或,所述紫外线数值超过所述预设紫外线预警值的人超过所述预设人数,则向所述客户端发送所述健康警示信息和所述应对信息。
- 根据权利要求12所述的方法,其特征在于,所述方法还包括:将预设用户的体温值和/或环境中的紫外线数值,以及预设用户的体温值和/或环境中的紫外线数值异常时触发的提示信息,发送到预设客户端,使得所述用户通过所述客户端查看所述预设用户的体温值和/或环境中的紫外线数值,以及所述提示信息,所述预设用户包括:所述用户的关联用户。
- 一种健康信息提示装置,其特征在于,包括:获取模块,用于获取设置在智能眼镜的眼镜本体上的温度传感器测量的体温数据;判断模块,用于根据所述体温数据,判断用户的体温是否异常;提示模块,用于若判断所述用户体温异常,则发出所述用户体温异常的提示。
- 根据权利要求16所述的装置,其特征在于,所述判断模块,还用于统计预设周期内测量的所有体温值,将高于预设的最大极限值或低于预设的最小极限值的体温值剔除,求其余的体温值的平均值,若所述平均值超出预设的正常值范围,则确认所述用户的体温异常;或者,统计所述预设周期内测量的所有体温值,若超过所述预设的正常值范围的次数大于预设次数,则确认所述用户的体温异常。
- 根据权利要求17所述的装置,其特征在于,所述获取模块,还用于获取设置在所述眼镜本体外部的外置的温度传感器测量的环境温度值;所述判断模块,还用于与所述眼镜本体上的温度传感器测量的环境温度值进行对比;以及,若对比结果为不相符,则将外置的温度传感器测量的环境温度值作为真实环境温度值。
- 根据权利要求17所述的装置,其特征在于,所述判断模块,还用于若所述用户体温异常,则判断所述用户体温是否到达预设体温阈值;所述获取模块,还用于若到达,则获取设置在所述智能眼镜的眼镜本体上的紫外线传感器测量的紫外线数值;所述判断模块,还用于判断所述紫外线数值是否超过预设紫外线值;所述提示模块,还用于若所述紫外线数值超过所述预设紫外线值,则发出健康警示信息和应对信息。
- 根据权利要求18所述的装置,其特征在于,所述提示模块,用于将所述用户的体温值和/或环境中的紫外线数值上传到服务器,使得所述服务器根据所述用户通过客户端的查询操作,将所述用户当天的体温值和历史体温值,和/或,所述用户当天的环境中的紫外线数值和历史紫外线数值发送到所述客户端进行显示;所述提示模块,还用于将所述用户的体温值和/或环境中的紫外线数值上传到所述服务器,使得所述服务器分析上传的所述体温值和/或所述紫外线数值,是否分别在预设的第一分析周期内超过预设的第一体温参考值和/或预设的第一紫外线参考值,或,是否在预设的第二分析周期内超过预设的第二体温参考值和/或预设的第二紫外线参考值,所述第一体温参考值大于所述第二体温参考值,所述第一紫外线参考值大于所述第二紫外线参考值,若在所述第一分析周期内,所述体温值超过所述预设的第一体温参考值,和/或,所述紫外线数值超过所述预设的第一紫外线参考值,或,若在所述第二分析周期内,所述体温值超过所述预设的第二体温参考值,和/或,所述紫外线数值超过所述预设的第二紫外线参考值,则向所述客户端发送所述健康警示信息和所述应对信息;所述提示模块,还用于确认所述用户当前所处的地区,将检测得到的所述用户的体温值和/或环境中的紫外线数值上传到服务器,使得所述服务器按照预设的大数据分析方法,判断所述地区的预设人群中,所述体温值超过预设体温预警值的人数否超过预设人数,和/或,所述紫外线数值超过预设紫外线预警值的人数否超过预设人数,若所述地区的预设人群中,所述体温值超过所述预设体温预警值的人超过所述预设人数,和/或,所述紫外线数值超过所述预设紫外线预警值的人超过所述预设人数,则向所述客户端发送所述健康警示信息和所述应对信息。
- 根据权利要求19所述的装置,其特征在于,所述提示模块,还用于将预设用户的体温值和/或环境中的紫外线数值,以及预设用户的体温值和/或环境中的紫外线数值异常时触发的提示信息,发送到预设客户端,使得所述用户通过所述客户端查看所述预设用户的体温值和/或环境中的紫外线数值,以及所述提示信息,所述预设用户包括:所述用户的关联用户。
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