State recognition method and device, wearable device, and storage medium

Abstract

The application discloses a state recognition method and device, a wearable device and a storage medium. The state recognition method comprises the following steps: determining, based on a first parameter of a wearable device in each of at least one set frequency band, whether the wearable device is in a wearing state or an unwearing state; wherein the first parameter represents a received signal strength in the corresponding set frequency band.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a state recognition method, apparatus, wearable device and storage medium. Background Technology

[0002] Users can monitor data such as sleep, heart rate, and steps using smartwatches. Accurate data acquisition depends on the smartwatch correctly recognizing the wearing status. However, in current technologies, the accuracy of smartwatches in recognizing wearing status is relatively low. Summary of the Invention

[0003] In view of this, embodiments of this application provide a state recognition method, apparatus, wearable device, and storage medium to solve the technical problem of low accuracy in the wearing state recognition of smartwatches in related technologies.

[0004] To achieve the above objectives, the technical solution of this application is implemented as follows:

[0005] This application provides a state recognition method, including:

[0006] Based on a first parameter of the wearable device in each of at least one defined frequency band, it is determined whether the wearable device is in a wearing state or not; wherein...

[0007] The first parameter characterizes the received signal strength on the corresponding set frequency band.

[0008] In the above scheme, determining whether the wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band includes:

[0009] Determine the first difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the first set frequency band;

[0010] Determine the second difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the second set frequency band;

[0011] Based on the first difference and / or the second difference, it is determined whether the wearable device is in a wearing state or not;

[0012] Wherein, the first set frequency band represents the frequency band corresponding to any low frequency band, and the second set frequency band represents the frequency band corresponding to any mid frequency band or high frequency band.

[0013] In the above scheme, determining whether the wearable device is in a wearing state or not based on the first difference and / or the second difference includes:

[0014] If the first difference is greater than a first preset threshold, or the second difference is less than a second preset threshold, the wearable device is determined to be in a wearing state.

[0015] If the first difference is less than or equal to the first set threshold, or the second difference is greater than or equal to the second set threshold, the wearable device is determined to be in an unworn state.

[0016] If the first difference is greater than the first preset threshold and the second difference is less than the second preset threshold, the wearable device is determined to be in a wearing state; or

[0017] If the first difference is less than or equal to the first preset threshold, and the second difference is greater than or equal to the second preset threshold, the wearable device is determined to be in an unworn state; wherein,

[0018] Both the first difference and the second difference represent the difference between the first parameter corresponding to the first sampling time point and the first parameter corresponding to the second sampling time point, and the first sampling time point is later than the second sampling time point.

[0019] In the above scheme, determining whether the wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band includes:

[0020] Determine a first parameter of the wearable device in each of at least one defined frequency band;

[0021] If the first parameter in each set frequency band is within the corresponding first set interval, it is determined that the wearable device is in a wearing state;

[0022] If the first parameter in each set frequency band is within the corresponding second set interval, the wearable device is determined to be in an unworn state; wherein,

[0023] The first set interval and the corresponding second set interval for the same set frequency band do not overlap.

[0024] In the above scheme, when the set frequency band is represented as the frequency band corresponding to the low frequency band, the interval value of the first set interval corresponding to the set frequency band is greater than the interval value of the corresponding second set interval.

[0025] When the set frequency band is represented as a frequency band corresponding to a mid-frequency band or a high-frequency band, the interval value of the first set interval corresponding to the set frequency band is less than the interval value of the corresponding second set interval.

[0026] In the above scheme, the at least one set frequency band is a working frequency band supported by Long Term Evolution (LTE), New Radio (NR), Global Positioning System (GPS), BeiDou Navigation Satellite System (BDS), or Bluetooth.

[0027] In the above scheme, the first parameter includes one of the following:

[0028] Total Isotropic Sensitivity (TIS);

[0029] Received Signal Strength Indicator (RSSI);

[0030] Reference signal received power RSRP;

[0031] Reference signal reception quality (RSRQ);

[0032] Signal-to-noise ratio (SNR);

[0033] Carrier-to-noise ratio (CNR).

[0034] The above scheme, the method further includes one of the following:

[0035] When the wearable device is in a wearing state, activate the setting function of the wearable device;

[0036] When the wearable device is not being worn, the power-saving mode of the wearable device is activated.

[0037] This application also provides a state recognition device, including:

[0038] An identification unit is configured to determine whether the wearable device is in a wearing state or not, based on a first parameter of the wearable device in each of at least one set frequency band; wherein...

[0039] The first parameter characterizes the received signal strength on the corresponding set frequency band.

[0040] This application also provides a wearable device, including: a processor and a memory for storing a computer program capable of running on the processor.

[0041] When the processor runs the computer program, it executes the steps of the above-described state recognition method.

[0042] In the above solution, the wearable device includes a smartwatch, a smart bracelet, or a Bluetooth headset.

[0043] This application also provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described state recognition method.

[0044] In this embodiment, the wearable device is determined to be in a wearing state or not wearing state based on a first parameter of the wearable device in each of at least one set frequency band; wherein, the first parameter characterizes the received signal strength in the corresponding set frequency band. Since the first parameter of the wearable device in the same set frequency band has different characteristics when the wearable device is in a wearing state or not wearing state, the wearing state or not wearing state of the wearable device can be accurately determined based on the first parameter of the wearable device in the set frequency band, thereby improving the accuracy of the wearing state identification by the wearable device. Attached Figure Description

[0045] Figure 1 This is a schematic diagram illustrating the measurement of the distance between a smartwatch and an object in related technologies.

[0046] Figure 2 A schematic diagram illustrating the implementation flow of the state recognition method provided in this application embodiment;

[0047] Figure 3 This is a schematic diagram of the internal structure of a wearable device provided in an embodiment of this application;

[0048] Figure 4 A graph showing the total radiation efficiency of the LTE antenna when the wearable device provided in this application is not worn;

[0049] Figure 5 A graph showing the total radiation efficiency of the LTE antenna when the wearable device is in a wearing state, as provided in the embodiments of this application;

[0050] Figure 6 A schematic diagram illustrating the implementation flow of a state recognition method provided in another embodiment of this application;

[0051] Figure 7 A schematic diagram illustrating the implementation flow of a state recognition method provided in another embodiment of this application;

[0052] Figure 8 A schematic diagram illustrating the implementation flow of the state recognition method provided in the application embodiments of this application;

[0053] Figure 9 This is a schematic diagram of the structure of the status recognition device provided in the embodiments of this application;

[0054] Figure 10 This is a schematic diagram of the hardware composition structure of a wearable device provided in another embodiment of this application. Detailed Implementation

[0055] like Figure 1As shown, in related technologies, smartwatches use a built-in infrared emitter, filter, and charge-coupled device (CCD) detector to measure the distance between the smartwatch and an object, thereby determining whether the smartwatch is being worn.

[0056] In this system, the infrared emitter in the smartwatch emits an infrared beam at a set angle. This beam is reflected upon encountering an object, and the reflected beam passes through a filter before reaching the CCD detector. The CCD detector detects the offset distance L. Given the emission angle α, offset distance L, central moment X, and filter focal length f, the distance D between the CCD detector and the object can be calculated using trigonometric relationships. This distance D is then used to determine whether the smartwatch is being worn.

[0057] This approach has the following drawbacks:

[0058] 1. When a user wears a smartwatch, the distance D is small, but the offset distance L is large. It is possible that the offset distance L exceeds the detection range of the CCD detector, making it impossible to calculate the distance D. As a result, the smartwatch cannot determine whether the user is currently wearing the watch.

[0059] 2. When the distance D is large, the offset distance L will be very small. It is possible that the CCD detector has low resolution and cannot detect the accurate offset distance L, which will lead to the inaccurate calculation of the distance D, and thus the low accuracy of the smartwatch in recognizing the wearing status.

[0060] 3. Regarding arms and other objects, when the infrared beams emitted by the infrared emitter have the same propagation path, it is impossible to distinguish whether the infrared beam encounters an arm or another object, leading to misjudgment.

[0061] In summary, among the relevant technologies, smartwatches have relatively low accuracy in recognizing wearing status.

[0062] Based on this, this application provides a state recognition method that determines whether a wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band; wherein the first parameter characterizes the received signal strength in the corresponding set frequency band. Since the first parameter of the wearable device has different characteristics in the same set frequency band when it is in a wearing state or not, the method can accurately determine whether the wearable device is in a wearing state or not based on the first parameter of the wearable device in the set frequency band, thus improving the accuracy of the wearing state recognition by the wearable device.

[0063] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0064] Figure 2 This is a schematic diagram illustrating the implementation flow of the state recognition method provided in this application embodiment, wherein the execution subject of the flow is a wearable device. Figure 2 The state recognition method shown includes:

[0065] Step 201: Determine whether the wearable device is in a wearing state or not wearing state based on a first parameter of the wearable device in each of at least one set frequency band; wherein, the first parameter characterizes the received signal strength in the corresponding set frequency band.

[0066] Here, considering that the first parameter of a wearable device has different characteristics when it is worn or not worn, on the same set frequency band, the wearable device determines the first parameter in each of at least one set frequency band, and based on the determined first parameter, determines whether the wearable device is worn or not. Here, received signal strength refers to the signal strength of the received wireless signal. Wearing state refers to the user wearing the wearable device.

[0067] It should be noted that wearable devices can run a setup program to determine the first parameter on a specified frequency band. The setup program is used to acquire or calculate the first parameter.

[0068] In this solution, since the first parameter of the wearable device has different characteristics when it is worn or not worn, it is possible to accurately determine whether the wearable device is worn or not based on the first parameter of the wearable device in the set frequency band, thereby improving the accuracy of the wearable device in identifying the wearing state.

[0069] In some embodiments, the at least one designated frequency band is a working frequency band supported by Long Term Evolution (LTE), New Radio (NR), Global Positioning System (GPS), BeiDou Navigation Satellite System (BDS), or Bluetooth.

[0070] When the set frequency band is a working frequency band supported by LTE, NR, GPS, or BDS, the number of set frequency bands can be one or at least two. When the set frequency band is a working frequency band supported by Bluetooth, the number of set frequency bands is one, which represents the full frequency band supported by Bluetooth.

[0071] It should be noted that when the set frequency band is a working frequency band supported by LTE, NR, GPS, or BDS, the set frequency band includes a first set frequency band and / or a second set frequency band. The first set frequency band is represented as the frequency band corresponding to any low-frequency band (LB, Lowband), and the second set frequency band is represented as the frequency band corresponding to any mid-frequency band (MB, Medium band) or any high-frequency band (HB, High Band).

[0072] For example, when the designated frequency band is an LTE-supported operating frequency band, the low-frequency band includes at least Band 5 and Band 8, with a corresponding frequency range of 820MHz to 960MHz; the mid-frequency band includes at least Band 3, with a corresponding frequency range of 1710MHz to 1880MHz; and the high-frequency band includes at least Band 7, Band 40, Band 38, and Band 41, with corresponding frequency ranges of 2300MHz to 2400MHz and 2500MHz to 2690MHz. That is, in an LTE system, the first designated frequency band includes at least the frequency bands corresponding to Band 5 and / or Band 8, and the second designated frequency band can be the frequency band corresponding to any one of Band 3, Band 7, Band 40, Band 38, and Band 41.

[0073] For example, when the frequency band is set to a GPS-supported operating frequency band, the low-frequency band includes L5 and the mid-frequency band includes L1.

[0074] It should be understood that the low-frequency, mid-frequency, and high-frequency bands used by LTE, NR, GPS, and BDS systems may differ in different regions. The band numbers or band numbers included in the first and second designated frequency bands listed above are merely examples, and the band numbers included in the first and second designated frequency bands can be set according to the actual situation.

[0075] It should be noted that when the frequency band is set to a working frequency band supported by LTE, NR, GPS, or BDS, the antenna reception performance of the wearable device will differ depending on whether it is worn or not. The following section will discuss this further. Figures 3 to 5 Explanation:

[0076] For example, for such Figure 3The wearable device shown Figure 4 The graph shows the total radiation efficiency of the LTE antenna when the wearable device is not worn. Figure 5 The graph shows the total radiation efficiency of the LTE antenna when the wearable device is in use. Figure 3 The wearable device in the design comprises a metal frame and a PCBA (Printed Circuit Board Assembly). The PCBA integrates an LTE antenna, a GPS antenna, and other components, with the LTE and GPS antennas sharing the metal frame as the antenna radiator.

[0077] like Figure 4 As shown, when the wearable device is not worn, the total radiative efficiency is less than -20dB on Band 5 and Band 8, greater than -15dB on Band 3, and greater than -10dB on Band 40, Band 7, Band 38, and Band 41.

[0078] like Figure 5 As shown, when the wearable device is in use, the total radiative efficiency is greater than -20dB on Band 5 and Band 8, less than -15dB on Band 3, and less than -10dB on Band 40, Band 7, Band 38, and Band 41.

[0079] contrast Figure 4 and Figure 5It is evident that the total radiation efficiency of the LTE antenna in wearable devices differs significantly between worn and unworn states. Furthermore, the performance of the total radiation efficiency in low-frequency bands differs from its performance in mid-frequency and high-frequency bands. Specifically, for Bands 5 and 8, the total radiation efficiency when the wearable device is worn is greater than that when it is unworn. However, for Bands 40, 3, 7, 38, and 41, the total radiation efficiency when the wearable device is worn is less than that when it is unworn. Since a higher total radiation efficiency results in better antenna reception, the reception performance of the antenna when the wearable device is worn is superior to that when it is unworn for Bands 5 and 8. Similarly, the reception performance of the antenna when the wearable device is unworn is superior to that when it is worn for Bands 40, 3, 7, 38, and 41. That is, for the first designated frequency band, the antenna's reception performance when the wearable device is worn is better than the antenna's reception performance when the wearable device is not worn; for the second designated frequency band, the antenna's reception performance when the wearable device is not worn is better than the antenna's reception performance when the wearable device is worn. The antenna referred to here includes at least one of LTE antennas, NR antennas, GPS antennas, and BDS antennas.

[0080] In this solution, the wearable device is determined to be in a wearing state or not based on the first parameter of the working frequency band supported by LTE, NR or Bluetooth, without the need for additional hardware components, thus saving hardware costs.

[0081] Considering that the first parameter is used to measure the receiving capability of a wearable device and can reflect the receiving performance of the wearable device's antenna, in some embodiments, the first parameter includes one of the following:

[0082] Total Isotropic Sensitivity (TIS);

[0083] Received Signal Strength Indication (RSSI);

[0084] Reference Signal Receiving Power (RSRP);

[0085] Reference Signal Receiving Quality (RSRQ);

[0086] Signal-to-noise ratio (SNR);

[0087] Carrier to Noise Ratio (CNR).

[0088] Here, TIS refers to the TIS of the antenna of the wearable device. RSRQ = (N × RSRP) / RSSI, where N represents the number of resource blocks (RBs) in the RSSI measurement bandwidth.

[0089] It should be noted that when the frequency band is set to a working frequency band supported by LTE, NR, GPS, or BDS, the first parameter can be TIS, RSSI, RSRP, RSRQ, SNR, or CNR. When the frequency band is set to a working frequency band supported by Bluetooth, the first parameter is RSSI.

[0090] Considering that the reception performance of wearable devices' antennas differs across different frequency bands when the device is worn or not, and that the primary parameters also vary significantly across these frequency bands, in order to more accurately identify the wearing status of the wearable device, such as... Figure 6 As shown, in some embodiments, determining whether the wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band includes:

[0091] Step 601: Determine the first difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the first set frequency band, wherein the first set frequency band represents the frequency band corresponding to any low frequency band.

[0092] Here, the wearable device determines the first parameter corresponding to two adjacent sampling time points on the first set frequency band, and calculates the first difference between the two obtained first parameters.

[0093] Step 602: Determine the second difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the second set frequency band; wherein, the second set frequency band represents the frequency band corresponding to any mid-frequency band or high-frequency band.

[0094] Here, the wearable device determines the first parameter corresponding to two adjacent sampling time points on the second set frequency band, and calculates the second difference between the two obtained first parameters.

[0095] Step 603: Based on the first difference and / or the second difference, determine whether the wearable device is in a wearing state or not.

[0096] Here, the wearable device can determine whether it is being worn or not based on the first difference corresponding to the first set frequency band; or it can determine whether it is being worn or not based on the second difference corresponding to the second set frequency band.

[0097] In practical applications, the wearable device compares a first difference corresponding to a first set frequency band with a first set threshold corresponding to the same frequency band to obtain a comparison result, and determines the state of the wearable device based on the comparison result. Similarly, it compares a second difference corresponding to a second set frequency band with a second set threshold corresponding to the same frequency band to obtain a comparison result, and determines the state of the wearable device based on the comparison result. The first set threshold is determined based on a first parameter on the first set frequency band when the wearable device is in two states (worn and unworn), and the second set threshold is determined based on a first parameter on the second set frequency band when the wearable device is in one of the two states.

[0098] Considering that the reception performance of a wearable device's antenna on a set frequency band differs depending on whether the wearable device is placed flat on a metal surface or when worn by a user, the wearable device can determine whether it is being worn or not based on a first and second difference value to reduce the probability of misjudgment. Therefore, the wearable device can accurately identify whether it is worn on the user's body or placed on another surface. Specifically, when the wearable device is placed flat on a metal object, the first difference value corresponding to the first set frequency band is less than a first set threshold, and the second difference value corresponding to the second set frequency band is less than a second set threshold. When the wearable device is worn by a user, the first difference value corresponding to the first set frequency band is greater than the first set threshold, and the second difference value corresponding to the second set frequency band is less than the second set threshold.

[0099] Considering that for a first predetermined frequency band, the antenna performance of the wearable device when it is worn is better than that when it is not worn; and for a second predetermined frequency band, the antenna performance of the wearable device when it is not worn is better than that when it is worn, in order to more accurately identify the wearing state of the wearable device, in some embodiments, determining whether the wearable device is in a wearing state or not based on the first difference and / or the second difference includes:

[0100] If the first difference is greater than a first preset threshold, or the second difference is less than a second preset threshold, the wearable device is determined to be in a wearing state.

[0101] If the first difference is less than or equal to the first set threshold, or the second difference is greater than or equal to the second set threshold, the wearable device is determined to be in an unworn state.

[0102] If the first difference is greater than the first set threshold and the second difference is less than the second set threshold, it is determined that the wearable device is in a wearing state.

[0103] If the first difference is less than or equal to the first preset threshold, and the second difference is greater than or equal to the second preset threshold, the wearable device is determined to be in an unworn state; wherein,

[0104] Both the first difference and the second difference represent the difference between the first parameter corresponding to the first sampling time point and the first parameter corresponding to the second sampling time point, and the first sampling time point is later than the second sampling time point.

[0105] Here, the first and second set thresholds are greater than or equal to zero. In practical applications, both the first and second set thresholds are zero. It should be noted that the first and second set thresholds can be set according to the actual situation.

[0106] When the first difference is greater than a first set threshold, it indicates that the antenna of the wearable device has improved reception performance in the first set frequency band; when the second difference is less than a second set threshold, it indicates that the antenna of the wearable device has deteriorated reception performance in the first set frequency band.

[0107] Based on comparison Figure 4 and Figure 5 The conclusion is that when the first difference is greater than the first set threshold, or the second difference is less than the second set threshold, the wearable device is determined to switch from an unworn state to a worn state; when the first difference is less than or equal to the first set threshold, or the second difference is greater than or equal to the second set threshold, the wearable device is determined to switch from a worn state to an unworn state.

[0108] If the first difference is greater than a first preset threshold and the second difference is less than a second preset threshold, the wearable device is determined to have switched from an unworn state to a worn state; if the first difference is less than or equal to the first preset threshold and the second difference is greater than or equal to the second preset threshold, the wearable device is determined to have switched from a worn state to an unworn state. This reduces the probability of false positives and accurately identifies whether the user is wearing the wearable device or whether the wearable device is lying flat on another surface.

[0109] In this solution, the wearable device is determined to be in a wearing state or not based on the first difference corresponding to the first set frequency band and / or the second difference corresponding to the second set frequency band, which can improve the accuracy of the wearing status of the wearable device.

[0110] In some embodiments, such as Figure 7 As shown, determining whether the wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band includes:

[0111] Step 701: Determine the first parameter of the wearable device in each of at least one set frequency band;

[0112] Step 702: If the first parameter on each set frequency band is within the corresponding first set interval, determine that the wearable device is in a wearing state;

[0113] Step 703: If the first parameter on each set frequency band is within the corresponding second set interval, determine that the wearable device is in an unworn state; wherein,

[0114] The first set interval and the corresponding second set interval for the same set frequency band do not overlap.

[0115] Here, the number of frequency bands can be one or at least two. Each frequency band corresponds to a first setting interval and a second setting interval. The first setting interval is set for the wearing state, and the second setting interval is set for the non-wearing state.

[0116] It should be noted that when setting the frequency band to a working frequency band supported by LTE, NR, GPS, or BDS, the number of frequency bands can be one or at least two. When setting the frequency band to a working frequency band supported by Bluetooth, the number of frequency bands is one, and this set frequency band represents the full frequency band supported by Bluetooth.

[0117] When the number of frequency bands is 1, the wearable device determines a first parameter of the wearable device on the set frequency band; when the first parameter on the set frequency band is in the corresponding first set interval, it is determined that the wearable device is in a wearing state; when the first parameter on the set frequency band is in the corresponding second set interval, it is determined that the wearable device is in a non-wearing state.

[0118] When the number of set frequency bands is greater than or equal to two, the wearable device determines a first parameter in each of the at least two set frequency bands and judges whether the first parameter in each set frequency band is within the corresponding first set interval or the corresponding second set interval, obtaining a judgment result. If the judgment result indicates that the first parameter in each set frequency band is within the corresponding first set interval, the wearable device is determined to be in a wearing state. If the judgment result indicates that the first parameter in each set frequency band is within the corresponding second set interval, the wearable device is determined to be in a non-wearing state. In practical applications, when the number of set frequency bands is two, the set frequency bands include one first set frequency band and one second set frequency band. When the number of set frequency bands is greater than two, the set frequency bands include at least one first set frequency band and at least two second set frequency bands, with at least one band representing a mid-frequency band and at least one band representing a high-frequency band among the at least two set frequency bands. Thus, based on the characteristics of the wearable device's antenna reception performance in different set frequency bands, the state of the wearable device can be accurately identified.

[0119] It should be noted that, in order to save time in identifying the state of wearable devices and improve state recognition efficiency, when the number of set frequency bands is greater than or equal to two, the wearable device's wearing or non-wearing state can also be determined based on a first parameter on a portion of at least two set frequency bands. For example, if the first parameter on two of the three set frequency bands falls within the corresponding first set interval, the wearable device is determined to be wearing; or, if the first parameter on any of the three set frequency bands falls within the corresponding second set interval, the wearable device is determined to be non-wearing.

[0120] Considering that for the first designated frequency band, the antenna's reception performance when the wearable device is worn is better than its reception performance when the wearable device is not worn; and for the second designated frequency band, the antenna's reception performance when the wearable device is not worn is better than its reception performance when the wearable device is worn, in order to more accurately identify the wearing status of the wearable device and improve the accuracy of the determined wearing status, in some embodiments, when the designated frequency band represents a frequency band corresponding to a low-frequency band, the interval value of the first designated interval corresponding to the designated frequency band is greater than the interval value of the corresponding second designated interval; when the designated frequency band represents a frequency band corresponding to a mid-frequency band or a high-frequency band, the interval value of the first designated interval corresponding to the designated frequency band is less than the interval value of the corresponding second designated interval. It should be understood that in practical applications, the interval values ​​of the first and second designated intervals can be set according to the reception performance of the wearable device's antenna in the first and second designated frequency bands, respectively, when the wearable device is worn or not.

[0121] In some embodiments, after determining whether the wearable device is being worn or not, the method further includes one of the following:

[0122] When the wearable device is in a wearing state, activate the setting function of the wearable device;

[0123] When the wearable device is not being worn, the power-saving mode of the wearable device is activated.

[0124] Here, considering that the monitoring results of the settings function are inaccurate when the wearable device is not worn, the settings function of the wearable device is activated when it is worn, so that the user can use the settings function of the wearable device. The settings function of the wearable device includes at least one of heart rate monitoring, step monitoring, and sleep monitoring, and may also include other functions supported by the wearable device.

[0125] Considering that when the wearable device is not being worn, indicating that the user is not using the wearable device, the power saving mode is activated to extend the battery life of the wearable device.

[0126] It should be noted that when the wearable device is charging, you can enable a set charging mode to speed up the charging process and shorten the charging time.

[0127] Figure 8 A schematic diagram illustrating the implementation flow of the state recognition method provided in the application embodiments of this application is shown below. Figure 2 The state recognition method shown includes:

[0128] Step 801: Determine the first difference between the CNR corresponding to two adjacent sampling time points of the wearable device in the first set frequency band.

[0129] Wherein, the first set frequency band represents the frequency band corresponding to any low frequency band. The first difference represents the difference between the CNR corresponding to the first sampling time point and the CNR corresponding to the second sampling time point in the first set frequency band, wherein the first sampling time point is later than the second sampling time point.

[0130] Step 802: Determine the second difference between the CNR corresponding to two adjacent sampling time points on the second set frequency band of the wearable device.

[0131] The second set frequency band represents the frequency band corresponding to any intermediate frequency band or high frequency band. The second difference represents the difference between the CNR corresponding to the first sampling time point and the CNR corresponding to the second sampling time point in the second set frequency band, wherein the first sampling time point is later than the second sampling time point.

[0132] Step 803: If the first difference is greater than zero and the second difference is less than zero, determine that the wearable device is in a wearing state.

[0133] Step 804: If the first difference is less than or equal to zero and the second difference is greater than or equal to zero, determine that the wearable device is in an unworn state.

[0134] To implement the method of the embodiments of this application, the embodiments of this application also provide a state recognition device, such as... Figure 9 As shown, the status recognition device includes:

[0135] The identification unit 91 is configured to determine whether the wearable device is in a wearing state or not in a wearing state based on a first parameter of the wearable device in each of at least one set frequency band; wherein,

[0136] The first parameter characterizes the received signal strength on the corresponding set frequency band.

[0137] In some embodiments, the identification unit 91 is specifically used for:

[0138] Determine the first difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the first set frequency band;

[0139] Determine the second difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the second set frequency band;

[0140] Based on the first difference and / or the second difference, it is determined whether the wearable device is in a wearing state or not;

[0141] Wherein, the first set frequency band represents the frequency band corresponding to any low frequency band, and the second set frequency band represents the frequency band corresponding to any mid frequency band or high frequency band.

[0142] In some embodiments, the identification unit 91 is specifically used for:

[0143] If the first difference is greater than a first preset threshold, or the second difference is less than a second preset threshold, the wearable device is determined to be in a wearing state.

[0144] If the first difference is less than or equal to the first set threshold, or the second difference is greater than or equal to the second set threshold, the wearable device is determined to be in an unworn state.

[0145] If the first difference is greater than the first preset threshold and the second difference is less than the second preset threshold, the wearable device is determined to be in a wearing state; or

[0146] If the first difference is less than or equal to the first preset threshold, and the second difference is greater than or equal to the second preset threshold, the wearable device is determined to be in an unworn state; wherein,

[0147] Both the first difference and the second difference represent the difference between the first parameter corresponding to the first sampling time point and the first parameter corresponding to the second sampling time point, and the first sampling time point is later than the second sampling time point.

[0148] In some embodiments, the identification unit 91 is specifically used for:

[0149] Determine a first parameter of the wearable device in each of at least one defined frequency band;

[0150] If the first parameter in each set frequency band is within the corresponding first set interval, it is determined that the wearable device is in a wearing state;

[0151] If the first parameter in each set frequency band is within the corresponding second set interval, the wearable device is determined to be in an unworn state; wherein,

[0152] The first set interval and the corresponding second set interval for the same set frequency band do not overlap.

[0153] In some embodiments, when the set frequency band is represented as a frequency band corresponding to a low frequency band, the interval value of the first set interval corresponding to the set frequency band is greater than the interval value of the corresponding second set interval.

[0154] When the set frequency band is represented as a frequency band corresponding to a mid-frequency band or a high-frequency band, the interval value of the first set interval corresponding to the set frequency band is less than the interval value of the corresponding second set interval.

[0155] In some embodiments, the at least one designated frequency band is a working frequency band supported by Long Term Evolution (LTE), New Radio (NR), Global Positioning System (GPS), BeiDou Navigation Satellite System (BDS), or Bluetooth.

[0156] In some embodiments, the first parameter includes one of the following:

[0157] Total Isotropic Sensitivity (TIS);

[0158] Received Signal Strength Indicator (RSSI);

[0159] Reference signal received power RSRP;

[0160] Reference signal reception quality (RSRQ);

[0161] Signal-to-noise ratio (SNR);

[0162] Carrier-to-noise ratio (CNR).

[0163] In some embodiments, the state recognition device further includes one of the following:

[0164] An activation unit is used to activate the settings function of the wearable device when the wearable device is in a wearing state;

[0165] The activation unit is used to activate the power-saving mode of the wearable device when the wearable device is not being worn.

[0166] In practical applications, the identification unit 91, activation unit, and power-on unit can be implemented by a processor in the terminal, such as a central processing unit (CPU), digital signal processor (DSP), microcontroller unit (MCU), or field-programmable gate array (FPGA).

[0167] It should be noted that the state recognition device provided in the above embodiments is only illustrated by the division of the above program modules when performing state recognition. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. In addition, the state recognition device and the state recognition method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0168] Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiments of this application, the embodiments of this application also provide a wearable device. Figure 10 This is a schematic diagram of the hardware composition structure of the wearable device provided in the embodiments of this application, such as... Figure 10 As shown, the wearable device 10 includes:

[0169] The communication interface 101 is capable of exchanging information with other devices, such as network devices;

[0170] The processor 102 is connected to the communication interface 101 to enable information interaction with other devices and, when running a computer program, executes the state recognition method provided by one or more of the above-mentioned technical solutions. The computer program is stored in the memory 103.

[0171] Of course, in practical applications, the various components in the wearable device 10 are coupled together via the bus system 104. It can be understood that the bus system 104 is used to implement communication between these components. In addition to a data bus, the bus system 104 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 10 The general labeled all buses as Bus System 104.

[0172] The memory 103 in this embodiment is used to store various types of data to support the operation of the wearable device 10. Examples of such data include any computer programs used to operate on the wearable device 10.

[0173] It is understood that memory 103 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); magnetic surface memory can be disk storage or magnetic tape storage. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), SyncLink Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM).The memory 103 described in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.

[0174] The methods disclosed in the embodiments of this application can be applied to or implemented by the processor 102. The processor 102 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in the processor 102 or by instructions in the form of software. The processor 102 may be a general-purpose processor, a DSP, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly manifested as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium, which is located in the memory 103. The processor 102 reads the program in the memory 103 and combines it with its hardware to complete the steps of the aforementioned method.

[0175] Optionally, when the processor 102 executes the program, it implements the corresponding processes implemented by the wearable device in the various methods of the embodiments of this application. For the sake of brevity, these will not be described in detail here.

[0176] In an exemplary embodiment, this application also provides a storage medium, namely a computer storage medium, specifically a computer-readable storage medium, such as a first memory 103 storing a computer program, which can be executed by the processor 102 of a wearable device to complete the steps described in the aforementioned method. The computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disc, or CD-ROM.

[0177] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0178] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0179] In addition, each functional unit in the various embodiments of this application can be integrated into one processing module, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0180] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0181] It should be noted that the technical solutions described in the embodiments of this application can be combined arbitrarily without conflict.

[0182] It should be noted that the term "and / or" in the embodiments of this application is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more of a plurality of elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0183] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A state recognition method, characterized in that, include: Based on a first parameter of the wearable device in each of at least one defined frequency band, it is determined whether the wearable device is in a wearing state or not; the first parameter characterizes the received signal strength in the corresponding defined frequency band; wherein... The step of determining whether the wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band includes: The wearable device is determined to have a first parameter in each of at least one set frequency band; if the first parameter in each set frequency band is within the corresponding first set interval, the wearable device is determined to be in a wearing state; if the first parameter in each set frequency band is within the corresponding second set interval, the wearable device is determined to be in a non-wearing state; wherein the first set interval and the corresponding second set interval for each set frequency band do not overlap; if the set frequency band represents a low-frequency band, the interval value of the first set interval corresponding to the set frequency band is greater than the interval value of the corresponding second set interval; if the set frequency band represents a mid-frequency band or a high-frequency band, the interval value of the first set interval corresponding to the set frequency band is less than the interval value of the corresponding second set interval. Alternatively, determining whether the wearable device is in a wearing state or not based on a first parameter of the wearable device in each of at least one set frequency band includes: Determine the first difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the first set frequency band, wherein the first set frequency band represents the frequency band corresponding to any low frequency band; Determine the second difference between the first parameters corresponding to two adjacent sampling time points of the wearable device in the second set frequency band, wherein the second set frequency band represents the frequency band corresponding to any mid-frequency band or high-frequency band; If the first difference is greater than a first preset threshold, or the second difference is less than a second preset threshold, the wearable device is determined to be in a wearing state. If the first difference is less than or equal to the first set threshold, or the second difference is greater than or equal to the second set threshold, the wearable device is determined to be in an unworn state. If the first difference is greater than the first preset threshold and the second difference is less than the second preset threshold, the wearable device is determined to be in a wearing state; or If the first difference is less than or equal to the first preset threshold, and the second difference is greater than or equal to the second preset threshold, the wearable device is determined to be in an unworn state; wherein, Both the first difference and the second difference represent the difference between the first parameter corresponding to the first sampling time point and the first parameter corresponding to the second sampling time point, and the first sampling time point is later than the second sampling time point.

2. The method according to claim 1, characterized in that, The at least one designated frequency band is a working frequency band supported by Long Term Evolution (LTE), New Radio (NR), Global Positioning System (GPS), BeiDou Navigation Satellite System (BDS), or Bluetooth.

3. The method according to any one of claims 1 to 2, characterized in that, The first parameter includes one of the following: Total Isotropic Sensitivity (TIS); Received Signal Strength Indicator (RSSI); Reference signal received power RSRP; Reference signal reception quality (RSRQ); Signal-to-noise ratio (SNR); Carrier-to-noise ratio (CNR).

4. The method according to any one of claims 1 to 2, characterized in that, The method also includes one of the following: When the wearable device is in a wearing state, activate the setting function of the wearable device; When the wearable device is not being worn, the power-saving mode of the wearable device is activated.

5. A state recognition device, characterized in that, include: An identification unit is configured to determine whether the wearable device is in a wearing state or not, based on a first parameter of the wearable device in each of at least one set frequency band; the first parameter characterizes the received signal strength in the corresponding set frequency band; wherein... The identification unit is specifically configured to: determine a first parameter of the wearable device in each of at least one set frequency band; determine that the wearable device is in a wearing state when the first parameter in each set frequency band is within a corresponding first set interval; determine that the wearable device is in a non-wearing state when the first parameter in each set frequency band is within a corresponding second set interval; wherein the first set interval and the corresponding second set interval for each set frequency band do not overlap; when the set frequency band is characterized as a low-frequency band, the interval value of the first set interval corresponding to the set frequency band is greater than the interval value of the corresponding second set interval; when the set frequency band is characterized as a mid-frequency band or a high-frequency band, the interval value of the first set interval corresponding to the set frequency band is less than the interval value of the corresponding second set interval. Alternatively, the identification unit is specifically configured to: determine a first difference between two adjacent sampling time points corresponding to the first parameters of the wearable device on a first set frequency band, wherein the first set frequency band represents a frequency band corresponding to any low-frequency band; determine a second difference between the two adjacent sampling time points corresponding to the first parameters of the wearable device on a second set frequency band, wherein the second set frequency band represents a frequency band corresponding to any mid-frequency band or high-frequency band; determine that the wearable device is in a wearing state when the first difference is greater than a first set threshold or the second difference is less than a second set threshold; and determine that the wearable device is in a wearing state when the first difference is less than or equal to the first set threshold or the second difference is greater than a second set threshold. If the first difference is greater than or equal to the second set threshold, the wearable device is determined to be in an unworn state; if the first difference is greater than the first set threshold and the second difference is less than the second set threshold, the wearable device is determined to be in a worn state; or, if the first difference is less than or equal to the first set threshold and the second difference is greater than or equal to the second set threshold, the wearable device is determined to be in an unworn state; wherein the first difference and the second difference both represent the difference between the first parameter corresponding to the first sampling time point and the first parameter corresponding to the second sampling time point, and the first sampling time point is later than the second sampling time point.

6. A wearable device, characterized in that, include: A processor and a memory for storing a computer program capable of running on the processor, wherein, when the processor is used to run the computer program, it performs the steps of the state recognition method according to any one of claims 1 to 4.

7. The wearable device according to claim 6, characterized in that, The wearable devices include smartwatches, smart bracelets, or Bluetooth headsets.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the state recognition method according to any one of claims 1 to 4.

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