Wearable device and health monitoring method

Abstract

The present disclosure provides a wearable device and a health monitoring method. The wearable device comprises a spectrum detection module for detecting light signals of at least three light wave bands from different external environments in real time and converting into spectrum information; a communication module for transmitting each spectrum information and time information of the spectrum information to a processing module, which is arranged inside the wearable device or independent of the wearable device; the processing module is used for: classifying and labeling each spectrum information according to a classification algorithm to obtain a classification label of the spectrum information; performing color temperature calculation on each spectrum information to determine the spectrum color temperature of the spectrum information; constructing a first health warning model according to the classification labels of the plurality of spectrum information, the spectrum color temperature corresponding to each classification label and the time information; and a display module for displaying the first health warning model.

Description

Technical Field

[0001] This disclosure relates to the field of light environment detection technology, and more specifically, to a wearable device and a health monitoring method. Background Technology

[0002] The light environment has a significant impact on many aspects of human health, such as myopia, sleep, and mood. Factors such as light intensity, type of light environment, color temperature, the proportion and intensity of different light wavelengths, and total exposure time can all have a major influence on health. For example, myopia may be caused by prolonged exposure to cool-colored light. Therefore, wearable light environment monitoring devices are particularly important for real-time monitoring of daily exposure to natural and artificial light, as well as for optimizing and controlling the individual's light environment.

[0003] In realizing the concept disclosed herein, the inventors discovered at least the following problems in the related technologies: existing light detection devices are large in size and inconvenient to carry around, or are limited to detecting light intensity or light signals of a single wavelength, making it inconvenient to monitor the user's light environment exposure. Summary of the Invention

[0004] In view of this, embodiments of the present disclosure provide a wearable device and a health monitoring method.

[0005] One aspect of this disclosure provides a wearable device, including:

[0006] The spectral detection module is used to detect optical signals in at least three optical bands from different external environments in real time and convert them into corresponding spectral information.

[0007] A communication module is used to transmit each of the above-mentioned spectral information and the time information of the above-mentioned spectral information to the processing module, wherein the processing module is located inside the wearable device or is independent of the wearable device.

[0008] The above processing module is used for:

[0009] Each of the above spectral information is classified and labeled according to the classification algorithm to obtain the classification label of the above spectral information;

[0010] For each of the above spectral information, calculate the color temperature to determine the spectral color temperature of the above spectral information;

[0011] Based on the classification labels of multiple spectral information, the spectral color temperature corresponding to each classification label, and the time information, a first health warning model is constructed, wherein the first health warning model represents the exposure duration in light signals corresponding to different classification labels, and the exposure duration at the spectral color temperature.

[0012] The display module is used to display the aforementioned first health warning model.

[0013] According to an embodiment of this disclosure, the communication module is communicatively connected to an external input device, which is used to input user information;

[0014] The aforementioned processing module is also used for:

[0015] A first analysis report is generated based on the aforementioned user information and the aforementioned first health early warning model, wherein the aforementioned first analysis report represents the predicted results of changes in the user's physical health indicators;

[0016] The aforementioned display module is also used to display the aforementioned first analysis report.

[0017] According to embodiments of this disclosure, the wearable device further includes:

[0018] The outer casing has an optical window, the spectral detection module is located inside the outer casing and the detection end of the spectral detection module is located at the optical window; the communication module and the processing module are both located inside the outer casing, and the display module is located on the outer surface of the outer casing or is independent of the wearable device.

[0019] According to embodiments of this disclosure, the wearable device further includes:

[0020] A transparent cover plate is disposed on the aforementioned optical window;

[0021] A diffuse reflection film is disposed on the surface of the aforementioned transparent cover plate near the aforementioned spectral detection module.

[0022] According to embodiments of this disclosure, the above-mentioned spectral detection module includes:

[0023] Multiple optical sensors are used to detect the aforementioned optical signals in at least three optical bands, wherein the classification labels corresponding to the aforementioned optical signals in different bands include indoor light and outdoor light, and the light types of the aforementioned indoor light and outdoor light include light generated by different types of light sources.

[0024] According to embodiments of this disclosure, the above-mentioned spectral detection module further includes:

[0025] A proximity sensor, used to detect the optical signals of at least three optical bands when the detection ends of the plurality of optical sensors are not covered; and / or

[0026] An accelerometer is used to detect no movement within a preset time period, and the processing module deletes the spectral information; and / or

[0027] A temperature sensor is used to detect the ambient temperature of the external environment. The processing module is also used to correct the spectral information measured by the light sensor based on the external temperature.

[0028] The pedometer, GPS, and pressure sensor are used to detect the user's movement, location, and altitude information, respectively. The processing module is also used to generate a second analysis report based on the first health warning model and the movement, location, and altitude information, so that the display module displays the second analysis report, which represents the predicted result of the user's physical health level.

[0029] Another aspect of this disclosure provides a health monitoring method, including:

[0030] The optical signal of at least three optical bands is detected in real time from different external environments using a spectral detection module and converted into corresponding spectral information;

[0031] The communication module transmits each of the above-mentioned spectral information and the time information of the above-mentioned spectral information to the processing module, which is located inside the wearable device or is independent of the wearable device.

[0032] The above processing module is used to classify and label each of the above spectral information according to the classification algorithm to obtain the classification label of the above spectral information;

[0033] The color temperature of each of the above spectral information is calculated using the above processing module to determine the spectral color temperature of the above spectral information.

[0034] Using the processing module described above, a first health warning model is constructed based on the classification labels of multiple spectral information, the spectral color temperature corresponding to each classification label, and the time information. The first health warning model represents the exposure duration in light signals corresponding to different classification labels and the exposure duration at the spectral color temperature.

[0035] The first health warning model described above is displayed using the display module.

[0036] According to an embodiment of this disclosure, the communication module is communicatively connected to an external input device, which is used to input user information;

[0037] The above methods also include:

[0038] The processing module above generates a first analysis report based on the user information and the first health early warning model above, wherein the first analysis report represents the prediction results of changes in the user's physical health indicators;

[0039] The aforementioned first analysis report is displayed using the above display module.

[0040] According to embodiments of this disclosure, the spectral detection module includes multiple optical sensors for detecting the optical signals in at least three optical bands.

[0041] According to embodiments of this disclosure, the health monitoring method further includes:

[0042] When the proximity sensor detects that the detection end of the plurality of optical sensors is not covered, the optical sensors detect the optical signals in at least three optical bands, wherein the spectral detection module further includes the proximity sensor.

[0043] and / or

[0044] If the accelerometer does not detect any movement within a preset time period, the validity of the spectral acquisition is marked by the above processing.

[0045] and / or

[0046] The ambient temperature of the external environment is detected using a temperature sensor, wherein the spectral detection module further includes the temperature sensor.

[0047] The aforementioned processing module is used to correct the spectral information measured by the aforementioned optical sensor based on the external temperature.

[0048] and / or

[0049] Use pedometers, GPS, or pressure sensors to detect the user's location and movement information;

[0050] The processing module generates a second analysis report based on the first health warning model and the location movement information, wherein the second analysis report represents the prediction result of the user's physical health level.

[0051] According to embodiments of this disclosure, a wearable device's spectral detection module collects light signals from the external environment. The processing module determines the light signal's classification label and spectral color temperature based on the spectral information and corresponding time information transmitted by the communication module. Then, a first health warning model is constructed based on the light signal's classification label, time information, and spectral color temperature. This allows users to clearly understand their exposure duration in different environments, with different classification labels, and at different spectral color temperatures, thus enabling them to promptly understand the impact of different exposure durations on their health. Furthermore, the wearable device of this disclosure is small in size and cost, making it suitable for daily monitoring of personal health. Attached Figure Description

[0052] The above and other objects, features and advantages of this disclosure will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0053] Figure 1 A schematic diagram of the structure of a wearable device according to an embodiment of the present disclosure is shown.

[0054] Figure 2 A schematic diagram illustrating the signal flow in a wearable device according to an embodiment of the present disclosure is shown.

[0055] Figure 3 A flowchart illustrating the analysis of optical signals in a wearable device according to an embodiment of the present disclosure is shown schematically.

[0056] Figure 4 A flowchart illustrating the analysis of optical signals in a wearable device according to an embodiment of the present disclosure is shown schematically.

[0057] Figure 5 A flowchart illustrating a health monitoring method according to an embodiment of the present disclosure is shown schematically. Detailed Implementation

[0058] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0059] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0060] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0061] When using expressions such as "at least one of A, B, and C", they should generally be interpreted in accordance with the meaning that is commonly understood by a person skilled in the art (e.g., "a system having at least one of A, B, and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B, and C, etc.).

[0062] Currently, most light environment monitoring uses spectrometers, which are characterized by large size, inconvenience, and high price, making them unsuitable for personal daily light environment measurement. Furthermore, most spectrometers only monitor visible light or ultraviolet light individually, and cannot monitor visible light, ultraviolet light, and infrared light simultaneously.

[0063] In view of this, embodiments of the present disclosure provide a wearable device and a health monitoring method. The wearable device includes a spectral detection module for detecting light signals of at least three light bands from different external environments in real time and converting them into corresponding spectral information; a communication module for transmitting each spectral information and its time information to a processing module; and a processing module for: classifying and labeling each spectral information according to a classification algorithm to obtain a classification label for the spectral information; calculating the color temperature of each spectral information to determine its spectral color temperature; and constructing a first health warning model for each external environment based on the classification labels of multiple spectral information, the spectral color temperature corresponding to each classification label, and the time information, wherein the first health warning model characterizes the exposure duration and intensity in the light signals corresponding to different classification labels in the external environment, as well as the exposure duration and intensity at the spectral color temperature of the external environment.

[0064] Figure 1 A schematic diagram of the structure of a wearable device according to an embodiment of the present disclosure is shown.

[0065] like Figure 1 As shown, the wearable device may include a spectral detection module 100, a communication module 200, a processing module 300, and a display module 400.

[0066] The spectral detection module 100 is used to detect optical signals in at least three optical bands from different external environments in real time and convert them into corresponding spectral information.

[0067] The communication module 200 is used to transmit each spectral information and the time information of the spectral information to the processing module 300, which is located inside the wearable device or is independent of the wearable device.

[0068] Processing module 300 is used for:

[0069] Each spectral information is classified and labeled according to the classification algorithm to obtain the classification label of the spectral information.

[0070] The color temperature of each spectral information is calculated to determine the spectral color temperature of the spectral information.

[0071] For each external environment, a first health warning model is constructed based on the classification labels of multiple spectral information, the spectral color temperature and time information corresponding to each classification label, and the first health warning model characterizes the exposure duration and exposure intensity in the light signals corresponding to different classification labels, as well as the exposure duration and exposure intensity at different spectral color temperatures.

[0072] Display module 400 is used to display the first health warning model.

[0073] According to embodiments of this disclosure, the spectral detection module 100 may include a plurality of sensors or an array of a plurality of sensors, wherein the sensors may be single-channel sensors or multi-channel sensors.

[0074] According to embodiments of this disclosure, the communication module 200 can be a WiFi module, a Bluetooth module, or a communication module 200 with a built-in SIM card. The communication module 200 has a time synchronization function and can record time information of spectral information. Wearable devices can be wristwatches, bracelets, badges, pendants, etc.

[0075] According to embodiments of this disclosure, the classification algorithm can be a machine learning algorithm or a deep learning algorithm. The classification labels can include indoor light and outdoor light, where indoor light can include light from different light sources, such as LED lights and incandescent lights. The spectral color temperature can include low color temperature, medium color temperature, and high color temperature. For example, a color temperature less than 3300K (K: Kelvin color temperature unit) can be defined as a low color temperature, a color temperature between 3300K and 5300K as a medium color temperature, and a color temperature greater than 5300K as a high color temperature.

[0076] According to embodiments of this disclosure, when a user wears the wearable device, the spectral detection module 100 can detect light signals in at least three light bands in the external environment in real time. The communication module 200 transmits the spectral information and time information corresponding to the light signals to the processing module 300. The processing module 300 classifies and labels each spectral information, and combines it with the time information to obtain the exposure duration and exposure intensity of the light signals in each category. The processing module 300 also calculates the color temperature of the spectral information to obtain the spectral color temperature of each light signal, thereby constructing a first health warning model. Displaying the first health warning model using the display module 400 can show the user the exposure duration and exposure intensity of light signals in different category labels, as well as the exposure duration and exposure intensity under different spectral color temperatures in the external environment, thereby monitoring their own health. It should be noted that the wearable device may not have a display module 400. In the absence of a display module 400, the first health warning model can be displayed using the display module of an external device.

[0077] According to embodiments of this disclosure, the wearable device's spectral detection module 100 collects light signals from the external environment. The processing module 300 determines the classification label and spectral color temperature of the light signal based on the spectral information and corresponding time information transmitted by the communication module 200. Then, based on the classification label, time information, and spectral color temperature, a first health warning model is constructed. This allows users to clearly understand their exposure duration and intensity in different environments, with different classification labels, and at different spectral color temperatures, thereby enabling them to promptly understand the impact of different exposure durations and intensities on their health. Furthermore, the wearable device of this disclosure is small in size and cost, making it suitable for daily monitoring of personal health.

[0078] It should be noted that the first health warning model can also be displayed on an external display device, such as a mobile phone, other wristbands, tablets, pendants, televisions, or other devices with display functions that are connected to the wearable device.

[0079] According to an embodiment of this disclosure, the communication module 200 is communicatively connected to an external input device, which is used to input user information.

[0080] According to embodiments of this disclosure, the processing module 300 is further configured to:

[0081] A first analysis report is generated based on user information and a first health early warning model. This first analysis report represents the predicted changes in the user's physical health indicators. The display module 400 is also used to display this first analysis report.

[0082] According to embodiments of this disclosure, user information may be basic personal information entered by the user using an input device. The input device may include electronic devices with input functions such as mobile phones and computers. User information may refer to the user's gender, age, whether they are nearsighted / farsighted, and the degree of nearsightedness / farsightedness, etc.

[0083] It should be noted that the collection, storage, use, processing, transmission, provision, disclosure, and application of user personal information involved in the technical solution disclosed herein all comply with the provisions of relevant laws and regulations, have taken necessary confidentiality measures, and do not violate public order and good morals.

[0084] In the technical solution disclosed herein, user authorization or consent is obtained before acquiring or collecting user information.

[0085] According to embodiments of this disclosure, the processor generates a first analysis report based on a first health warning model and user information. The first analysis report may be a prediction of the user's physical health indicators, such as changes in refractive error, axial length, cognitive development, and weight, generated based on the user's gender, age, and other factors, combined with the exposure of different groups to different types of light.

[0086] According to embodiments of this disclosure, the wearable device may also include a housing 500.

[0087] The housing 500 has an optical window 501, the spectral detection module 100 is located inside the housing 500 and the detection end of the spectral detection module 100 is located at the optical window 501; the communication module 200 and the processing module 300 are both located inside the housing 500, and the display module 400 is located on the outer surface of the housing 500.

[0088] According to embodiments of this disclosure, the wearable device may also include a transparent cover 502 and a diffuse reflection film 503.

[0089] A transparent cover plate 502 is disposed on the optical window 501. A diffuse reflection film 503 is disposed on the surface of the transparent cover plate 502 near the spectral detection module 100.

[0090] According to embodiments of this disclosure, the housing 500 may be a molded material or other opaque material, such as plastic, silicone, etc. The number of optical windows 501 corresponds to the number of sensors in the spectral detection module 100.

[0091] According to embodiments of this disclosure, a transparent cover 502 covers the upper part of a wearable device, and its material may include transparent glass, transparent acrylic, transparent plastic, sapphire, or other transparent layers.

[0092] According to embodiments of this disclosure, the diffuse reflective film 503 can uniformly scatter light signals to reduce the dependence of the sensor readings in the spectral monitoring module on the angle of the ambient light source.

[0093] According to embodiments of this disclosure, the spectral detection module 100 may include a plurality of optical sensors.

[0094] Multiple optical sensors are used to detect optical signals in at least three optical bands. The classification labels corresponding to the optical signals in different bands can include indoor light and outdoor light. The light types of indoor light and outdoor light can include light generated by different types of light sources.

[0095] According to embodiments of this disclosure, the light sensor may include an ultraviolet light sensor, an infrared light sensor, and a visible light sensor. When detecting visible light, the light sensor detects light signals with wavelengths between 400-700 nm. To more clearly distinguish between indoor and outdoor light, and to classify different types of light signals, the light sensor includes at least one ultraviolet light sensor, and the light sensor ultimately used for detecting visible light has at least five channels. The light sensor can acquire light signals from the external environment through an optical window 501, and there must be no obstacles at the optical window 501 that obstruct the acquisition of light signals.

[0096] In one exemplary embodiment, the difference between indoor light and outdoor light is that outdoor light contains ultraviolet light, because sunlight contains ultraviolet light, while most indoor light does not contain ultraviolet light. Therefore, to more clearly distinguish between indoor light and outdoor light, an ultraviolet light sensor can be set up.

[0097] Figure 2 A signal flow diagram in a wearable device according to an embodiment of the present disclosure is illustrated schematically. Figure 3 A flowchart illustrating the analysis of optical signals in a wearable device according to an embodiment of the present disclosure is shown.

[0098] like Figure 2 and Figure 3 As shown, the spectral detection module 100 may also include a proximity sensor.

[0099] A proximity sensor is used to detect optical signals in at least three optical bands when the detection ends of multiple optical sensors are not covered.

[0100] According to embodiments of this disclosure, in order to prevent the wearable device from collecting useless data that cannot accurately characterize the user's external environment when the detection end of the light sensor is covered, a proximity sensor can be set up to detect whether the detection end of the light sensor is covered.

[0101] In one exemplary embodiment, if the wearable device is a wristband, the internal light sensor is still acquiring the corresponding light signal when the user's clothing covers the wristband. At this time, the proximity sensor confirms that the wristband is covered, and the processing module 300 marks the validity of the acquired light signal.

[0102] like Figure 2 and Figure 3 As shown, the spectral detection module 100 may also include an accelerometer.

[0103] An accelerometer is used to mark the validity of the acquired light signal by the processing module 300 when no movement is detected within a preset time period.

[0104] According to embodiments of this disclosure, since the spectral detection module 100 may still be collecting data even when the user is not wearing the wearable device, an accelerometer can be used to detect whether the user has moved within a certain period of time, such as one hour. If it is determined that the user has not moved within the time period, the user may not be wearing the wearable device, and the spectral information collected and converted during that time period is marked as invalid. In one case, when it is nighttime and no movement has occurred, such as between 11:00 PM and 6:00 AM, the user may be asleep. At this time, the wearable device collects light signals normally, because the user may turn on some lights while sleeping, and the lights may affect the user's health.

[0105] According to embodiments of this disclosure, various sensors in the spectral detection module 100 collect various information from the external environment and transmit the acquired data to the processor via the communication module 200. The processor determines whether the detection end of the spectral detection module 100 is covered based on the data from the proximity sensor. If it is confirmed that the data is covered, the collected data is defined as invalid data. If it is confirmed that the data is not covered and the location information is detected to be moving, the collected data is defined as valid data and classified and processed, and a first health warning model is constructed. If there is no movement during the time period and it is not nighttime, the collected data is defined as invalid data. If it is nighttime, the collected data is defined as valid data and processed.

[0106] According to embodiments of this disclosure, the spectral detection module 100 may further include a temperature sensor.

[0107] A temperature sensor is used to detect the ambient temperature of the external environment, and the processing module is also used to correct the spectral information measured by the light sensor based on the ambient temperature. According to embodiments of this disclosure, the spectral detection module 100 may further include a pedometer, GPS, and a pressure sensor.

[0108] A pedometer, GPS, and pressure sensor are used to detect the user's movement, location, and altitude information. The processing module 300 is also used to generate a second analysis report based on the first health warning model and the movement, location, and altitude information, so that the display module 400 displays the second analysis report, which represents the predicted results of the user's physical health level.

[0109] According to embodiments of this disclosure, in order to further monitor a user's physical health level, a pedometer or GPS can be set up to count the user's steps or walking distance, thereby combining the step count with health standards to generate a predictive result indicating whether the user's walking distance is at a healthy level. A pressure sensor can assist GPS in accurately locating the user's spatial position.

[0110] Figure 4 A flowchart illustrating the analysis of optical signals in a wearable device according to an embodiment of the present disclosure is shown.

[0111] like Figure 4 As shown, the spectral detection module 100 may also include an operational amplifier.

[0112] An operational amplifier is used to amplify optical signals to generate amplified optical signals.

[0113] According to embodiments of this disclosure, in order to improve the quality of the spectral information on which the first health warning model is constructed, the optical signal can be amplified using an operational amplifier before transmission by the communication module 200.

[0114] In one exemplary embodiment, the operational amplifier can amplify the optical signal detected by the ultraviolet sensor to obtain an optical signal that may include amplified ultraviolet light. See also embodiments of this disclosure. Figure 4 Light from the external environment passes through the transparent cover plate 502, the diffuse reflection film 503, and the optical window 501 in sequence and is detected by the spectral detection module 100. The light signal detected by the ultraviolet sensor is amplified by the operational amplifier and simultaneously transmitted to the processing module 300 along with the signal detected by the visible light sensor (such as a multispectral sensor) through the communication module 200 to construct the first health warning model. The constructed first health warning model is then displayed in the display module 400 after being transmitted through the communication module 200.

[0115] In one exemplary embodiment, a threshold can also be set to prompt the user if the user stays in the light signal corresponding to a certain category label for more than the threshold time.

[0116] In one exemplary embodiment, in order to further reduce the size and cost of the wearable device, the operations performed by the processing module 300 can be executed by a terminal device such as a server or mobile phone, and the generated first health warning model can be transmitted to the display module 400 for display.

[0117] Figure 5 A flowchart illustrating a health monitoring method according to an embodiment of the present disclosure is shown schematically.

[0118] like Figure 5 As shown, the method may include operations S501 to S506.

[0119] When operating the S501, the spectral detection module is used to detect optical signals of at least three optical bands from different external environments in real time and convert them into corresponding spectral information.

[0120] In operation S502, the communication module is used to transmit each spectral information and the time information of the spectral information to the processing module.

[0121] When operating S503, the processing module classifies and labels each spectral information according to the classification algorithm to obtain the classification label of the spectral information.

[0122] In operation S504, the processing module calculates the color temperature of each spectral information to determine the spectral color temperature of the spectral information.

[0123] In operation S505, the processing module constructs a first health warning model based on the classification labels of multiple spectral information, the spectral color temperature and time information corresponding to each classification label. The first health warning model represents the exposure duration and exposure intensity in the light signals corresponding to different classification labels, as well as the exposure duration and exposure intensity at different spectral color temperatures.

[0124] When operating S506, the first health warning model is displayed using the display module.

[0125] According to the embodiments of this disclosure, the specific implementation process of the health monitoring method is the same as that of wearable devices, and will not be repeated here.

[0126] According to embodiments of this disclosure, a wearable device's spectral detection module collects light signals from the external environment. The processing module determines the classification label and spectral color temperature of the light signal based on the spectral information and corresponding time information transmitted by the communication module. Then, a first health warning model is constructed based on the classification label, time information, and spectral color temperature of the light signal. This allows users to clearly understand their exposure duration and intensity in different environments, different classification labels, and different spectral color temperatures through the displayed first health warning model, thereby enabling them to understand the impact of different exposure durations and intensities on their health in a timely manner.

[0127] According to embodiments of this disclosure, the communication module is communicatively connected to an external input device, which is used to input user information.

[0128] According to embodiments of this disclosure, the health monitoring method may further include the following operations:

[0129] The processing module generates a first analysis report based on user information and a first health early warning model. This first analysis report represents the predicted changes in the user's physical health indicators. The display module then displays the first analysis report.

[0130] According to embodiments of this disclosure, the spectral detection module may include multiple optical sensors for detecting optical signals in at least three optical bands.

[0131] According to embodiments of this disclosure, the health monitoring method may further include the following operations:

[0132] When the proximity sensor detects that the detection ends of multiple optical sensors are not covered, the optical sensors detect optical signals in at least three optical bands, wherein the spectral detection module may also include the proximity sensor.

[0133] According to embodiments of this disclosure, the health monitoring method may further include the following operations:

[0134] If the accelerometer does not detect any movement within a preset time period, the processing module marks the spectral information as invalid.

[0135] According to embodiments of this disclosure, the health monitoring method may further include the following operations:

[0136] The system uses a pedometer, GPS, and pressure sensors to detect the user's movement, location, and altitude. A processing module generates a second analysis report based on a first health warning model and the movement, location, and altitude information. This second analysis report represents a prediction of the user's physical health level. A display module displays the second analysis report.

[0137] It should be noted that the health monitoring method section in the embodiments of this disclosure corresponds to the wearable device section in the embodiments of this disclosure. The description of the health monitoring method section is specifically referred to in the wearable device section, and will not be repeated here.

[0138] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. The scope of this disclosure is defined by the appended claims and their equivalents. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. A wearable device, comprising: The spectral detection module is used to detect optical signals in at least three optical bands from different external environments in real time and convert them into corresponding spectral information. A communication module is used to transmit each spectral information and the time information of the spectral information to a processing module, wherein the processing module is located inside the wearable device or is independent of the wearable device; The processing module is used for: Each piece of spectral information is classified and labeled according to a classification algorithm to obtain a classification label for the spectral information; Perform color temperature calculation on each of the spectral information pieces to determine the spectral color temperature of the spectral information; A first health warning model is constructed based on the classification labels of multiple spectral information, the spectral color temperature corresponding to each classification label, and the time information. The first health warning model represents the exposure duration in light signals corresponding to different classification labels, and the exposure duration at the spectral color temperature.

2. The wearable device according to claim 1, further comprising: A display module is used to display the first health warning model; The communication module is connected to an external input device, which is used to input user information. The processing module is further configured to: A first analysis report is generated based on the user information and the first health warning model, wherein the first analysis report represents the predicted results of changes in the user's physical health indicators; wherein the display module is also used to display the first analysis report.

3. The wearable device according to claim 1, further comprising: The outer casing has an optical window, the spectral detection module is located inside the outer casing and the detection end of the spectral detection module is located at the optical window; the communication module and the processing module are both located inside the outer casing, and if the wearable device includes a display module, the display module is located on the outer surface of the outer casing or is independent of the wearable device.

4. The wearable device according to claim 3, further comprising: A transparent cover plate is disposed on the optical window; A diffuse reflection film is disposed on the surface of the transparent cover plate near the spectral detection module.

5. The wearable device according to any one of claims 1 to 4, wherein, The spectral detection module includes: Multiple optical sensors are used to detect optical signals in at least three optical bands, wherein the classification labels corresponding to the optical signals in different bands include indoor light and outdoor light, and the light types of indoor light and outdoor light include light generated by different types of light sources.

6. The wearable device according to claim 5, wherein, The spectral detection module also includes: A proximity sensor, configured to detect optical signals in at least three optical bands when the detection ends of the plurality of optical sensors are not obstructed; and / or An accelerometer sensor is used so that if no movement is detected within a preset time period, the processing module deletes the spectral information; and / or A temperature sensor is used to detect the ambient temperature of the external environment; the processing module is also used to correct the spectral information measured by the light sensor based on the ambient temperature; and / or The pedometer, GPS, and pressure sensor are used to detect the user's movement, location, and altitude information, respectively. The processing module is also used to generate a second analysis report based on the first health warning model and the movement, location, and altitude information, so that the display module displays the second analysis report, which represents the predicted result of the user's physical health level.

7. A health monitoring method, comprising: The optical signal of at least three optical bands is detected in real time from different external environments using a spectral detection module and converted into corresponding spectral information; The communication module is used to transmit each spectral information and the time information of the spectral information to the processing module; The processing module uses a classification algorithm to classify and label each piece of spectral information to obtain a classification label for the spectral information. The processing module is used to calculate the color temperature of each spectral information to determine the spectral color temperature of the spectral information. The processing module constructs a first health warning model based on the classification labels of multiple spectral information, the spectral color temperature corresponding to each classification label, and the time information. The first health warning model represents the exposure duration in light signals corresponding to different classification labels and the exposure duration at the spectral color temperature. The first health warning model is displayed using the display module.

8. The method according to claim 7, wherein, The communication module is connected to an external input device, which is used to input user information. The method further includes: The processing module generates a first analysis report based on the user information and the first health warning model, wherein the first analysis report represents the prediction results of changes in the user's physical health indicators; The first analysis report is displayed using the display module.

9. The method according to claim 7 or 8, wherein, The spectral detection module includes multiple optical sensors for detecting the optical signals in at least three optical bands.

10. The method of claim 9, further comprising: When the proximity sensor detects that the detection end of the plurality of optical sensors is not covered, the optical sensor detects the optical signal in at least three optical bands, wherein the spectral detection module further includes the proximity sensor; and / or If the accelerometer does not detect any movement within a preset time period, the processing module is used to mark the validity of the spectral acquisition. and / or The ambient temperature of the external environment is detected using a temperature sensor, wherein the spectral detection module further includes the temperature sensor; The processing module is used to correct the spectral information measured by the optical sensor based on the external temperature. and / or It uses pedometers, GPS, and pressure sensors to detect the user's movement, location, and altitude information; The processing module generates a second analysis report based on the first health warning model and the movement, location, and altitude information, wherein the second analysis report represents the predicted result of the user's physical health level.

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