Capacitive sensor, terminal device, sensor assembly and detection method

Abstract

The embodiment of the application discloses a kind of capacitive sensor, terminal device, sensor assembly and detection method, belong to terminal technical field.The capacitive sensor 1 includes multiple first polar plate 2 and multiple second polar plate 3, the multiple first polar plate 2 with the multiple second polar plate 3 are used to connect different electrodes, the multiple first polar plate 2 and the multiple second polar plate 3 form multiple polar plate pairs, each polar plate pair in the multiple polar plate pairs is formed by adjacent first polar plate 2 and second polar plate 3, the number of the multiple polar plate pairs is greater than or equal to 5, the ratio of the effective polar plate length of each polar plate pair and polar plate spacing is greater than 10, the ratio of the polar plate width of each polar plate pair and polar plate spacing is greater than 2.Using the scheme of the application, the operation convenience can be improved.

Description

Technical Field

[0001] This application relates to the field of terminal technology, and in particular to a capacitive sensor, terminal device, sensor assembly, and detection method. Background Technology

[0002] With the rapid development of terminal technology, wearable devices have been widely used. Action recognition has also developed accordingly and is widely used in wearable devices.

[0003] In related technologies, motion recognition employs infrared motion recognition or video motion recognition. When a user wears the device on one hand and moves their other hand closer to the device, the device detects the user's movement and triggers appropriate processing.

[0004] The operation process in the above technology requires the user's two hands to be close to each other. The hand wearing the wearable device controls the angle of the wearable device so that the infrared sensor or camera is aimed at the other hand, and the other hand performs the action. In this way, neither the hand performing the action nor the hand wearing the wearable device can be in a completely free state, resulting in low ease of operation. Summary of the Invention

[0005] This application provides a capacitive sensor, a terminal device, a sensor assembly, and a detection method to overcome the problem of low ease of operation in related technologies.

[0006] In a first aspect, a capacitive sensor 1 is provided. The capacitive sensor 1 includes a plurality of first electrode plates 2 and a plurality of second electrode plates 3. The plurality of first electrode plates 2 and the plurality of second electrode plates 3 are used to connect different electrodes. The plurality of first electrode plates 2 and the plurality of second electrode plates 3 form a plurality of electrode pairs. Each electrode pair consists of adjacent first electrode plates 2 and second electrode plates 3. The number of electrode pairs is greater than or equal to 5. The ratio of the effective electrode length to the electrode spacing of each electrode pair is greater than 10. The ratio of the electrode width to the electrode spacing of each electrode pair is greater than 2.

[0007] In the embodiments of this application, when all first electrode plates 2 are connected to positive electrodes, all second electrode plates 3 can be connected to negative electrodes, and when all first electrode plates 2 are connected to negative electrodes, all second electrode plates 3 can be connected to positive electrodes. Two adjacent and directly opposite conductor plates used to connect different electrodes can be called an electrode pair, and these two conductor plates can be called electrodes. The distance between the two electrodes in an electrode pair is equal at different positions. The electrode spacing of different electrode pairs can be the same or different. Different electrode pairs may share a first electrode plate or share a second electrode plate. For example, two staggered first electrode plates 2 and two second electrode plates 3 can form three electrode pairs. The effective electrode length is the length of the portion of the first electrode plate 2 and the second electrode plate 3 directly opposite each other in the electrode pair.

[0008] In the above-described capacitive sensor, the number of electrode pairs is greater than a threshold value of 5, and the ratio of the effective electrode length to the electrode spacing of each electrode pair is greater than a ratio threshold value of 10. This ensures that the capacitive sensor has a sufficiently large base capacitance value that can be detected by the detection circuit. Furthermore, the ratio of the electrode width to the electrode spacing of each electrode pair is greater than a ratio threshold value of 2. This reduces the edge field of the capacitive sensor, thereby minimizing the influence of distant conductors on the capacitance value, thus reducing the sensor's ability to sense distant conductors and focusing on sensing nearby conductors. Therefore, the capacitive sensor in this embodiment effectively utilizes the characteristic that the capacitance value changes with the distance between the sensor and the conductor. Through the above parameter settings, the sensor can better sense changes in distance to the skin in close proximity, detecting the distance between the skin and the wearable device by detecting the capacitance value. When the user performs certain actions while wearing the terminal device, the distance between the capacitive sensor and the skin changes slightly with the user's movements, leading to changes in the capacitance value. The terminal device can then perform certain specified processing. In this way, when a user wants to trigger a certain process, they only need to perform the action of the organ wearing the terminal device. If the terminal device is worn on one hand, then the other hand does not need to participate at all and is in a completely free state. It can be seen that the solution of this application can improve the ease of operation.

[0009] In one possible implementation, multiple first electrode plates 2 and multiple second electrode plates 3 are interleaved and arranged in parallel so that at least one first electrode plate 2 and at least one second electrode plate 3 can be reused for two electrode pairs.

[0010] The capacitive sensor 1 can have a dual-comb structure. For example, a dual-comb capacitive sensor 1 includes four first plates 2 and four second plates 3 arranged alternately from top to bottom, forming seven plate pairs. Viewed from top to bottom, the first first plate and the first second plate form one plate pair, and the first second plate and the second first plate form another plate pair. That is, these two plate pairs share a single second plate. Similar cases exist where different plate pairs share a single plate in the lower part of the sensor, but these will not be listed here.

[0011] In one possible implementation, the multiple first plates 2 are interconnected in a star-shaped structure.

[0012] The capacitive sensor 1 can have a star-shaped structure. For example, a star-shaped capacitive sensor 1 with three vertices includes three first plates 2 and six second plates 3. The three first plates 2 are located at the 12 o'clock, 4 o'clock, and 8 o'clock positions, respectively. Each first plate 2 has a second plate 3 on each side, forming six plate pairs. Taking the top three plates as an example, the left second plate 3 and the middle first plate 2 form one plate pair, and the right second plate 3 and the middle first plate 2 form another plate pair. That is, these two plate pairs share one first plate 2. The lower plate pairs also have similar cases where different plate pairs share one plate, which will not be listed here.

[0013] The double-comb structure and star structure in the above schemes have the characteristics of simple structure and material saving.

[0014] In one possible implementation, at least one of the plurality of first electrode plates 2 is disposed between two of the plurality of second electrode plates 3 to form two electrode plate pairs.

[0015] This indicates that at least two pairs of plates in the capacitive sensor 1 reuse a single first plate 2. This reduces the space occupied by the capacitive sensor 1.

[0016] In one possible implementation, the plurality of first electrode plates 2 and the plurality of second electrode plates 3 are all made of flexible conductive material.

[0017] The scheme shown in this application embodiment allows the capacitive sensor 1 to be manufactured by 3D printing. The specified position of the device or component where the capacitive sensor needs to be set can be directly printed. The flexible conductive material can be metals such as gold, silver, and copper. The metal material is printed onto the specified position of the device or component by 3D printing to form a metal film with a predetermined pattern.

[0018] The above scheme uses flexible conductive material to make capacitive sensor 1, which makes it easy to process capacitive sensor 1 on both soft and hard materials, thus improving the flexibility of capacitive sensor 1 setting.

[0019] In one possible implementation, the multiple first plates 2 and the multiple second plates 3 are all wavy.

[0020] In the scheme shown in the embodiments of this application, each first electrode plate 2 and each second electrode plate can have the same wave curvature, and the distance between adjacent electrode plates at different positions is the same.

[0021] Secondly, a terminal device is provided, comprising a capacitance detection circuit 7, a processor 8, and a capacitance sensor 1 as described in the first aspect and its possible implementations. The capacitance detection circuit 7 is used to detect the capacitance value of the capacitance sensor 1 and send indication information to the processor 8, wherein the indication information is determined based on the capacitance value. The processor 8 is used to perform corresponding processing based on the indication information.

[0022] In the embodiment of this application, the capacitance sensor 1 can be disposed on the surface of the terminal device, which is the surface that is close to the user's skin when the terminal device is worn. The capacitance value detection circuit 7 can continuously detect the capacitance value of the capacitance sensor 1, or it can start detecting the capacitance value of the capacitance sensor 1 after a preset trigger event occurs.

[0023] In the above solution, the capacitive sensor 1, employing the first aspect and its possible implementations, can sense changes in distance from human skin and is not affected by interference from other conductive objects at a distance. This allows for more accurate motion detection or proper wear detection.

[0024] In one possible implementation, the terminal device is a wearable device. The terminal device also includes a body 4. A groove 6 is provided on the first surface of the body 4, and a capacitive sensor 1 is disposed in the groove 6. The first surface is the surface that is in contact with the user's skin when the terminal device is worn. This wearing refers to the normal wearing of the terminal device. When the terminal device is normally worn, the first surface is in contact with the skin. If the terminal device is a smartwatch, the first surface is the back of the smartwatch; if the terminal device is a smart bracelet, the first surface is the inner side of the smart bracelet.

[0025] In this design, the detection surface of the capacitive sensor 1 is lower than the opening of the groove 6, and the distance between the detection surface and the opening of the groove 6 is within a preset distance range. The preset distance range can be 0.5-1mm.

[0026] The solutions shown in this application embodiment can be wearable devices that come into contact with human skin when worn, such as smartwatches, smart bracelets, smart necklaces, and smart ankle bracelets. For smartwatches, the watch body 4 can include a watch face and a watch strap. The bottom surface of the watch face is the surface that is in contact with human skin when worn, and the bottom surface of the watch strap is the surface that is in contact with human skin when worn. For smart bracelets, the inner surface of the body 4 is the surface that is in contact with human skin when worn.

[0027] Taking a smartwatch as an example, grooves 6 can be set on the bottom surface of the watch face and the bottom surface of the watch band, or grooves 6 can be set only on the bottom surface of the watch face or the bottom surface of the watch band. The number and position of the grooves 6 can be set arbitrarily according to the needs. The number of grooves 6 can be the same as or different from the number of capacitive sensors 1. That is, only one capacitive sensor 1 can be set in one groove 6, or multiple capacitive sensors 1 can be set in one groove 6. Here are a few specific examples: Example 1: Multiple grooves 6 are set on the bottom surface of the two watch bands and multiple grooves 6 are set on the bottom surface of the watch face. Each groove 6 contains one capacitive sensor 1. Example 2: One groove 6 is set on the bottom surface of the two watch bands and one on the bottom surface of the watch face. Each groove 6 contains multiple capacitive sensors 1.

[0028] In the above scheme, due to the presence of the groove 6, the detection surface of the capacitive sensor 1 always maintains a certain distance from the human skin and will not make complete contact. This is more conducive to the capacitive sensor 1 sensing the change in distance between itself and the human skin, and improving the accuracy of function triggering.

[0029] In one possible implementation, the terminal device is a wearable device. The terminal device also includes a body 4. The capacitive sensor 1 is embedded under a first surface of the body 4. The first surface is the side of the terminal device that is in contact with the user's skin when worn.

[0030] The distance between the detection surface of the capacitive sensor 1 and the surface is within a preset distance range. The preset distance range can be 0.5-1mm.

[0031] In the solution shown in this application embodiment, during processing, a groove can be first opened on the body 4, and the capacitive sensor 1 can be processed into the groove by 3D printing. Then, the groove can be sealed with appropriate materials to cover the capacitive sensor 1.

[0032] In the above solution, the capacitive sensor 1 is not exposed to the air, which makes it more durable. Moreover, the capacitive sensor 1 is not visible, which means it does not affect the product's appearance and makes the product's industrial design easier.

[0033] In one possible implementation, a capacitive sensor 1 is used to detect changes in capacitance when the user wears the terminal device on a target part of the user's body and when the target part is moved. A processor 8 is used to determine the target action command corresponding to the action based on the indication information and execute the processing corresponding to the target action command.

[0034] In the scheme shown in this application embodiment, the processor 8 can directly determine the target action instruction based on the indication information. Alternatively, the processor 8 can first determine the target action based on the indication information, and then determine the target action instruction based on the target action. Actions can be recorded using identifiers, for example, an upward arm swing action is identified as 001, a downward arm swing action is identified as 002, and so on. Furthermore, the action instructions triggered by various actions can be arbitrarily set according to requirements; for example, an upward arm swing action triggers an instruction to increase the volume. The correspondence between actions and action instructions can be defined separately in different applications. Based on the correspondence between actions and action instructions in the currently running application, the target action instruction corresponding to the target action can be determined, and the processing corresponding to the target action instruction can be executed. Alternatively, the correspondence between actions and action instructions can be defined separately in different interfaces of different applications. Based on the correspondence between actions and action instructions in the current interface of the currently running application, the target action instruction corresponding to the target action can be determined, and the processing corresponding to the target action instruction can be executed.

[0035] In the above solution, action recognition is performed using the capacitive sensor 1 based on the first aspect and its possible implementations. The characteristic that the capacitance value of the capacitive sensor 1 changes with the distance between the user's skin and the sensor 1 during action can be utilized to identify the action. When a user performs certain actions while wearing the terminal device, the distance between the capacitive sensor and the skin changes slightly with the user's movements, resulting in a change in the capacitance value. The terminal device can then perform certain specified processing. Thus, when a user wants to trigger a certain processing, only the organ wearing the terminal device needs to perform the action. If only one hand is wearing the terminal device, the other hand is completely free and does not need to participate. Therefore, the solution of this application can improve operational convenience.

[0036] In one possible implementation, the indication information is the capacitance value. Processor 8 is used to determine the target action instruction based on pre-stored capacitance value conditions and the capacitance value, and to execute the processing corresponding to the target action instruction.

[0037] The solution shown in this application embodiment can store a correspondence table between capacitance value conditions and action instructions. The correspondence table includes multiple capacitance value conditions, and each capacitance value condition corresponds to at least one action instruction. This allows for the first determination of the target capacitance value condition that the capacitance value meets, followed by the determination of the target action instruction corresponding to the target capacitance value condition. Alternatively, a correspondence table between capacitance value conditions and actions, and a correspondence table between actions and action instructions, can be stored separately. Each capacitance value condition corresponds to one action, and each action corresponds to at least one action instruction. Actions can be recorded using identifiers. This allows for the first determination of the target capacitance value condition that the capacitance value meets, followed by the determination of the target action corresponding to the target capacitance value condition, and finally, the determination of the target action instruction corresponding to the target action.

[0038] For applications with few and simple actions, using capacitance values ​​to determine action commands requires very little computation and can effectively improve processing efficiency.

[0039] In one possible implementation, there are multiple capacitive sensors 1, and the terminal device is a wraparound device. The multiple capacitive sensors 1 are distributed on the terminal device so that when the terminal device is worn, the multiple capacitive sensors are distributed around the target area.

[0040] The solution shown in this application embodiment can be a smartwatch, smart bracelet, or other similar device worn around the device, and the capacitive sensors 1 can be evenly distributed at equal distances on the device.

[0041] With the above structure, when the target part of the user's wearing terminal device moves in different directions, the capacitance value of the capacitive sensor 1 will exhibit different characteristics, so this structure can facilitate action recognition.

[0042] In one possible implementation, the capacitance value condition is determined based on a first average of the capacitance values ​​of each capacitive sensor 1 in the first set of capacitive sensors and a second average of the capacitance values ​​of each capacitive sensor 1 in the second set of capacitive sensors. The first set of capacitive sensors consists of capacitive sensors 1 located in a first region of the target area when worn, and the second set of capacitive sensors consists of capacitive sensors 1 located in a second region of the target area when worn, wherein the first region and the second region are different.

[0043] One possible scenario is that a certain capacitance value condition in the correspondence table is: the difference in capacitance values ​​between any two capacitive sensors 1 in the first set of capacitive sensors is less than a difference threshold; the difference in capacitance values ​​between any two capacitive sensors 1 in the second set of capacitive sensors is less than a difference threshold; and the average capacitance value of all capacitive sensors 1 in the first set of capacitive sensors is greater than the average capacitance value of all capacitive sensors 1 in the second set of capacitive sensors. The first region and the second region are the upper and lower sides of the wrist when the palm is facing down, respectively.

[0044] The above scheme can ensure high accuracy in motion detection.

[0045] In one possible implementation, processor 8 is used to input instruction information into a pre-trained recognition model, and when the output of the recognition model is a target action instruction, to execute the processing corresponding to the target action instruction.

[0046] The recognition model is a pre-trained machine learning model, and the specific model algorithm can be selected arbitrarily according to the requirements, such as Bayesian, decision tree and other algorithms.

[0047] The scheme described in this application involves a technician wearing a smartwatch performing various actions before using the recognition model. Each action is accompanied by the detection and recording of the capacitance values ​​of all capacitance sensors 1. The capacitance values ​​are arranged according to a predetermined order among the sensors to obtain a sample capacitance value sequence. The action performed during the detection of each sample capacitance value sequence is recorded, along with a pre-defined action command, which serves as a baseline action command. The recognition model is then trained based on a large number of sample capacitance value sequences and baseline action commands. After training, the recognition model can accurately identify action commands based on capacitance values.

[0048] In the above solution, a machine learning model is used for action recognition. This method can more conveniently and accurately recognize actions when the distribution of capacitive sensors 1 in the terminal device is complex or the actions are complex.

[0049] In one possible implementation, there are multiple capacitive sensors 1, and the terminal device also includes a biometric sensor 9, with the multiple capacitive sensors 1 evenly distributed around the biometric sensor 9.

[0050] The biometric sensor 9 shown in this embodiment can be a sensor that needs to be worn close to the skin to accurately detect corresponding parameters, such as a pulse sensor. The biometric sensor 9 is electrically connected to the processor 8. Both the capacitive sensor 1 and the biometric sensor 9 are located on the side of the device 4 closest to the skin. All capacitive sensors 1 are evenly distributed on a circle centered on the biometric sensor 9, and the spacing between any two adjacent capacitive sensors 1 is the same. The number of capacitive sensors 1 can be set according to actual accuracy requirements; for example, four can be set, located at the 3 o'clock, 6 o'clock, 9 o'clock, and 12 o'clock positions.

[0051] The above approach can improve the accuracy of biological sign monitoring.

[0052] In one possible implementation, the processor 8 is used to determine that the terminal device is not worn correctly based on the capacitance value and pre-stored capacitance value conditions, and to issue a prompt message indicating that it is not worn correctly.

[0053] The solution shown in this application embodiment indicates that the terminal device may not be worn correctly due to a problem with the tightness of the corresponding position. Based on the above description, the capacitance value of the capacitive sensor 1 in this application embodiment can reflect the distance between the human skin and the capacitive sensor 1. In other words, the capacitance value of the capacitive sensor 1 can reflect the tightness of the terminal device at the corresponding position. Therefore, the tightness problem can be detected by the range of capacitance values, and a corresponding prompt message can be issued when a problem occurs.

[0054] Technicians can first determine the location where the capacitive sensor 1 needs to be set on the terminal device. Then, they can determine the distance range between the capacitive sensor 1 and the skin when correctly worn, such as 0-0.5mm. Based on this distance range, they can determine a preset range of capacitance values ​​and store it in the terminal device. This preset range represents the capacitance value when correctly worn. When the user wears the terminal device for biometric monitoring, such as heart rate detection, the terminal device can obtain the capacitance values ​​of each capacitive sensor 1 and determine whether the capacitance value of each sensor 1 is within the preset range. If the capacitance value of a target capacitive sensor 1 is not within the preset range, it can be determined that the corresponding position of the target capacitive sensor 1 is not properly fitted. At this time, a corresponding prompt message can be issued. The prompt message can be displayed on the screen or broadcast via voice.

[0055] The above approach can improve the accuracy of biological sign monitoring.

[0056] In one possible implementation, the processor 8 is also used to: initiate capacitor value detection when a start trigger event is detected.

[0057] In the solution shown in this application embodiment, when no start-up trigger event is detected, the processor 8 can control not to supply power to the capacitance sensor 1, so that the capacitance value will not be detected. The capacitance value will only be detected after the start-up trigger event is detected.

[0058] The above solution can save electricity to some extent.

[0059] In one possible implementation, the trigger event includes: the terminal device's posture information satisfying a first posture condition, or the terminal device's motion information satisfying a first motion condition, or receiving a start command, or the target function being enabled.

[0060] The solution shown in the embodiments of this application can be that the posture information of the terminal device changes from the first posture information to the second posture information, or the first posture condition can be that the terminal device maintains the third posture information for a preset time, etc.

[0061] The first motion condition is that the smartwatch's motion parameters, such as speed, acceleration, or displacement, must meet certain conditions. For example, within a preset time period, the speed increases to a preset value, and the displacement direction is upward; the corresponding action is for the user to quickly raise their wrist.

[0062] A startup command can be triggered by a user's operation of a physical button or a virtual control. For example, if a floating control is set in the interface of a terminal device, clicking the control when the capacitance detection is in the off state will issue a startup command.

[0063] The target function can be one that requires manual operation or proper wear detection, such as heart rate monitoring. When heart rate monitoring is enabled, it can trigger a capacitance value detection. Heart rate monitoring can be activated automatically periodically or by user intervention.

[0064] The above scheme can easily trigger the detection of the startup capacitor value.

[0065] In one possible implementation, the processor 8 is also configured to: stop capacitance value detection when a shutdown trigger event is detected.

[0066] In the solution shown in this application embodiment, when a shutdown trigger event is detected, the processor 8 can control the power supply to the capacitance sensor 1 to stop the detection of the capacitance value.

[0067] The above solution can save electricity to some extent.

[0068] In one possible implementation, the shutdown trigger event includes: the terminal device's posture information satisfying a second posture condition, or the terminal device's motion information satisfying a second motion condition, or receiving a shutdown command, or the target function being shut down.

[0069] The solution shown in the embodiments of this application can be that the attitude information of the terminal device changes from the second attitude information to the first attitude information, or that the second attitude condition is that the terminal device maintains the fourth attitude information for a preset duration, etc.

[0070] The second motion condition is the condition that the motion parameters of the terminal device, such as speed, acceleration, or displacement, must meet. For example, within a preset time period, if the speed increases to a preset speed value and the displacement direction is downward, the corresponding action is for the user to quickly swing their hand downward.

[0071] The shutdown command can be triggered by a user's operation of a physical button or a virtual control. For example, if a floating control is set in the interface of a terminal device, clicking this control will issue a shutdown command when the capacitance value detection is in the active state.

[0072] The target function can be one that requires manual operation or proper wear detection, such as heart rate monitoring. When the heart rate monitoring function is off, it can trigger a stop capacitor value detection. The heart rate monitoring function can automatically turn off after a preset time following heart rate monitoring or be turned off by user intervention.

[0073] The above method can easily trigger and stop the capacitor value detection.

[0074] In one possible implementation, the terminal device further includes a base disposed on the surface of the terminal device, and the capacitive sensor 1 is disposed on the base.

[0075] The base can be a detachable component in the terminal device, so that the base and capacitive sensor 1 can be removed from the terminal device and installed on other terminal devices, which has a high degree of flexibility in use.

[0076] Thirdly, a sensor assembly for a terminal device is provided, the sensor assembly including a base 10 and a capacitive sensor 1 as described in the first aspect and its possible implementations. The capacitive sensor 1 is disposed on the base 10.

[0077] The solution shown in this application embodiment uses a sensor component that is an accessory to the terminal device. It can be installed on or removed from the terminal device and used on different terminal devices. For example, a user may have a smartwatch, a smart bracelet, and a sensor component. When using the smartwatch, the user can install the sensor component on the smartwatch; when using the smart bracelet, the user can remove the sensor component from the smartwatch and install it on the smart bracelet. The sensor component can be installed on the surface of the terminal device that comes into contact with the skin. The function of the sensor component is to perform capacitance detection. The shape of the base 10 depends on the distribution requirements of the capacitance sensors 1 and can be elongated, circular, etc. The base 10 is made of flexible materials such as rubber or plastic.

[0078] In the above solution, the capacitive sensor 1, employing the first aspect and its possible implementations, can sense changes in distance from human skin and is not affected by interference from other conductive objects at a distance. This allows for more accurate motion detection or correct wear detection. Furthermore, the sensor assembly is detachable from the terminal device, improving the flexibility of the terminal device in motion detection, correct wear detection, and other functions.

[0079] In one possible implementation, a groove 11 is provided on the surface of the base 10, and the capacitive sensor 1 is disposed in the groove 11.

[0080] When the sensor assembly is mounted on the terminal device and the terminal device is worn, the surface of the base 10 is in contact with the user's skin. The detection surface of the capacitive sensor 1 is lower than the opening of the groove 11, and the distance between the detection surface and the opening of the groove 11 is within a preset distance range. The preset distance range can be 0.5-1mm.

[0081] The number and position of the grooves 6 shown in the embodiments of this application can be arbitrarily set according to requirements. The number of grooves 6 can be the same as or different from the number of capacitive sensors 1. That is, only one capacitive sensor 1 can be set in one groove 6, or multiple capacitive sensors 1 can be set in one groove 6. For example, a long strip groove 11 can be set to set all the capacitive sensors 1 in the groove 11, or multiple square grooves 11 can be set, and one capacitive sensor 1 can be set in each square groove 11.

[0082] In the above scheme, due to the presence of the groove 6, the detection surface of the capacitive sensor 1 always maintains a certain distance from the human skin and will not make complete contact. This is more conducive to the capacitive sensor 1 sensing the change in distance between itself and the human skin, and improving the accuracy of function triggering.

[0083] In one possible implementation, the capacitive sensor 1 is embedded under the surface of the base 10.

[0084] When the sensor assembly is mounted on the terminal device and the terminal device is worn, the surface is on the side of the base 10 closest to the user's skin. The distance between the detection surface of the capacitive sensor 1 and this surface is within a preset distance range. The preset distance range can be 0.5-1mm.

[0085] In the embodiment of this application, during processing, a groove can be first opened on the base 10, and the capacitive sensor 1 can be processed into the groove by 3D printing. Then, the groove can be sealed with a corresponding material to cover the capacitive sensor 1.

[0086] In the above solution, the capacitive sensor 1 is not exposed to the air, which makes it more durable. Moreover, the capacitive sensor 1 is not visible, which means it does not affect the product's appearance and makes the product's industrial design easier.

[0087] Fourthly, a detection method is provided, which can be applied to a terminal device. The terminal device includes a capacitance sensor 1 as described in the first aspect and its possible implementations. The method includes: detecting the capacitance value of the capacitance sensor 1; and performing corresponding processing based on indication information, wherein the indication information is determined according to the capacitance value.

[0088] In one possible implementation, when the terminal device is worn on a target area of ​​the user, the capacitance value of the capacitive sensor 1 changes according to the movement of the target area. The terminal device determines the target action command corresponding to the movement of the target area based on the indication information and executes the processing corresponding to the target action command.

[0089] In one possible implementation, the indication information is a capacitance value. The terminal device determines the target action command based on the pre-stored capacitance value conditions and the capacitance value, and executes the corresponding processing for the target action command. The target action command and the capacitance value conditions are corresponding.

[0090] In one possible implementation, there are multiple capacitive sensors 1, and the terminal device is a wraparound wearable device. The multiple capacitive sensors 1 are distributed on the terminal device, so that when the terminal device is worn, the multiple capacitive sensors are distributed around the target area. The capacitance value condition is determined based on a first average of the capacitance values ​​of each capacitive sensor 1 in a first set of capacitive sensors and a second average of the capacitance values ​​of each capacitive sensor 1 in a second set of capacitive sensors.

[0091] The first set of capacitive sensors consists of capacitive sensors 1 located in the first region of the target area when worn, and the second set of capacitive sensors consists of capacitive sensors 1 located in the second region of the target area when worn. The first region and the second region are different.

[0092] In one possible implementation, the terminal device will input instruction information into a pre-trained recognition model, and when the output of the recognition model is a target action command, it will execute the processing corresponding to the target action command.

[0093] In one possible implementation, there are multiple capacitive sensors 1, and the terminal device also includes a biometric sensor 9, with the multiple capacitive sensors 1 evenly distributed around the biometric sensor 9. The terminal device determines that the device is not being worn correctly based on the capacitance value and pre-stored capacitance value conditions, and issues a warning message indicating incorrect wearing.

[0094] Fifthly, a computer program product is provided, which includes computer program code, wherein when the computer program code is executed by a terminal device, the terminal device executes the method described in the fourth aspect and its possible implementations.

[0095] The technical solution provided in this application includes at least the following beneficial effects:

[0096] In this embodiment of the capacitive sensor, the number of electrode pairs is greater than a threshold value of 5, and the ratio of the effective electrode length to the electrode spacing of each electrode pair is greater than a ratio threshold value of 10. This ensures that the capacitive sensor has a sufficiently large basic capacitance value that can be detected by the detection circuit. Furthermore, the ratio of the electrode width to the electrode spacing of each electrode pair is greater than a ratio threshold value of 2. This reduces the edge field of the capacitive sensor, thereby reducing the influence of distant conductors on the capacitance value, i.e., reducing the sensor's ability to sense distant conductors and focusing on sensing nearby conductors. Therefore, using the capacitive sensor in this embodiment effectively utilizes the characteristic that the capacitance value changes with the distance between the sensor and the conductor. Through the above parameter settings, the sensor can better sense changes in distance to skin in close proximity, detecting the distance between the skin and the terminal device by detecting the capacitance value. When a user performs certain actions while wearing the terminal device, the distance between the sensor and the skin changes slightly with the user's movements, leading to changes in the capacitance value. The terminal device can then perform certain specified processing. In this way, when a user wants to trigger a certain process, they only need to perform an action on the organ wearing the terminal device. If the terminal device is worn on one hand, the other hand does not need to participate at all and is in a completely free state. It can be seen that the solution proposed in this application can improve the ease of operation. Attached Figure Description

[0097] Figure 1 This is a schematic diagram of the structure of a capacitive sensor provided in an embodiment of this application;

[0098] Figure 2 This is a schematic diagram of the structure of a capacitive sensor provided in an embodiment of this application;

[0099] Figure 3 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application;

[0100] Figure 4 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application;

[0101] Figure 5 This is a schematic diagram of a processing circuit provided in an embodiment of this application;

[0102] Figure 6 This is a schematic diagram of a capacitance detection circuit provided in an embodiment of this application;

[0103] Figure 7 This is a schematic diagram of a capacitance detection circuit provided in an embodiment of this application;

[0104] Figure 8 This is a schematic diagram of an action detection process provided in an embodiment of this application;

[0105] Figure 9 This is a schematic diagram of the structure of a processor provided in an embodiment of this application;

[0106] Figure 10 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application;

[0107] Figure 11 This is a schematic diagram illustrating the distribution of capacitance values ​​of multiple capacitive sensors when a user performs an action, provided in an embodiment of this application.

[0108] Figure 12 This is a schematic diagram illustrating the distribution of capacitance values ​​of multiple capacitive sensors when a user performs an action, provided in an embodiment of this application.

[0109] Figure 13 This is a schematic diagram illustrating the distribution of capacitance values ​​of multiple capacitive sensors when a user performs an action, provided in an embodiment of this application.

[0110] Figure 14 This is a schematic diagram illustrating the distribution of capacitance values ​​of multiple capacitive sensors when a user performs an action, provided in an embodiment of this application.

[0111] Figure 15 This is a schematic diagram of a correct wearing detection process provided in an embodiment of this application;

[0112] Figure 16 This is a schematic diagram of the structure of a processor provided in an embodiment of this application;

[0113] Figure 17 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application;

[0114] Figure 18 This is a schematic diagram of the structure of a sensor assembly of a terminal device provided in an embodiment of this application;

[0115] Figure 19 This is a schematic diagram of the structure of a terminal device equipped with sensor components according to an embodiment of this application;

[0116] Figure 20 This is a flowchart illustrating a detection method provided in an embodiment of this application.

[0117] Legend

[0118] 1. Capacitive sensor 2. First electrode plate

[0119] 3. Second electrode plate 4. Fuselage

[0120] 5. Processing circuit 6. Groove

[0121] 7. Capacitance detection circuit 8. Processor

[0122] 9. Biometric sensor 10. Base

[0123] 11. Groove Detailed Implementation

[0124] This application provides a capacitive sensor 1.

[0125] The capacitive sensor 1 includes multiple first plates 2 and multiple second plates 3. The multiple first plates 2 and multiple second plates 3 are used to connect different electrodes. For example, when all first plates 2 are connected to the positive electrode, all second plates 3 can be connected to the negative electrode; conversely, when all first plates 2 are connected to the negative electrode, all second plates 3 can be connected to the positive electrode. The multiple first plates 2 and multiple second plates 3 form multiple plate pairs, and each plate pair consists of adjacent first plates 2 and second plates 3. The number of plate pairs is greater than or equal to 5, the ratio of the effective plate length to the plate spacing in each plate pair is greater than 10, and the ratio of the plate width to the plate spacing in each plate pair is greater than 2.

[0126] In a plate pair, two adjacent and directly opposite conductor plates used to connect different electrodes are called a plate pair, and these two conductor plates are called plates. The two plates in a plate pair are equidistant from each other at different positions.

[0127] The capacitive sensor 1 can have a dual-comb structure or a star structure, etc. See [reference needed]. Figure 1 and Figure 2 . Figure 1 The capacitive sensor 1 is a dual-comb structure, wherein multiple first plates 2 and multiple second plates 3 are interleaved and arranged in parallel, so that at least one first plate 2 and at least one second plate 3 can be reused for two plate pairs. Figure 2 The capacitive sensor 1 has a star-shaped structure, with multiple first plates 2 interconnected in a star configuration. Both types of capacitive sensors 1 share the characteristic of having multiple first plates 2 and multiple second plates 3, forming multiple plate pairs. The first plates 2 and second plates 3 maintain a certain distance from each other and do not contact each other. Figure 1 and Figure 2 Taking the example of multiple first electrode plates 2 connected to a positive electrode and multiple second electrode plates 3 connected to a negative electrode.

[0128] Each electrode pair consists of a first electrode 2 and a second electrode 3. At least one of the multiple first electrode 2s is disposed between two of the multiple second electrode 3s to form two electrode pairs. That is, different electrode pairs may share a first electrode 2 or share a second electrode 3. For example, Figure 1The capacitive sensor 1 with a dual-comb structure shown includes four first plates 2, four second plates 3, and seven plate pairs. Viewed from top to bottom, the first first plate and the first second plate form one plate pair, and the first second plate and the second first plate form another plate pair. That is, these two plate pairs share a single second plate. Similar situations exist in the lower part of the figure, but are not listed here. For example... Figure 2 The star-shaped capacitive sensor 1 shown includes 3 first plates 2, 6 second plates 3, and 6 plate pairs. Taking the top 3 plates as an example, the second plate 3 on the left and the first plate 2 in the middle form a plate pair, and the second plate 3 on the right and the first plate 2 in the middle form a plate pair. That is to say, these two plate pairs share one first plate 2. There are similar cases in the lower part of the figure, which will not be listed one by one.

[0129] In the capacitive sensor 1, the multiple first plates 2 and multiple second plates 3 can all be wavy or straight.

[0130] The capacitive sensor 1 can be manufactured using 3D printing. It allows for direct printing of the specified location on the device or component where the capacitive sensor needs to be located. The material can be a flexible conductive material, such as gold, silver, or copper. 3D printing transfers the metal material to the designated location on the device or component, forming a thin metal film with a predetermined pattern. Figure 1 , 2 Patterns for two types of capacitive sensors are shown.

[0131] See Figure 1 The effective plate length is the length of the portion of the first plate 2 and the second plate 3 facing each other in a plate pair, and the plate width is the width within the thin film plane. When designing the capacitive sensor 1, the widths of all first plates 2 and second plates 3 can be set to be equal, such as a plate width of 100 micrometers. Alternatively, the plate spacing of all plate pairs can be set to be equal, meaning the distance between all adjacent plates is equal, such as a plate spacing of 40 micrometers.

[0132] To enable the detection circuit to better detect the capacitance value of capacitive sensor 1, the number of plate pairs and the ratio of effective plate length to plate spacing are increased. This increases the base capacitance value of capacitive sensor 1. When the number of plate pairs is greater than or equal to 5 and the ratio of effective plate length to plate spacing is greater than 10, the base capacitance value meets the detection requirements. To reduce the influence of distant conductors on the capacitance value, the ratio of plate width to plate spacing is increased. This reduces the edge field of capacitive sensor 1, thereby reducing its ability to detect distant conductors (such as a user's head, someone else's hand, etc.). When the ratio of plate width to plate spacing is greater than 2, capacitive sensor 1 can only detect the distance to the skin, and the detection of other conductors can be ignored.

[0133] The capacitive sensor in this embodiment effectively utilizes the characteristic that capacitance changes with the distance between the sensor and the conductor. Through the aforementioned parameter settings, the sensor can better sense changes in distance to the skin in close proximity, detecting the distance between the skin and the terminal device by measuring the capacitance value. When a user performs actions while wearing the terminal device, the distance between the sensor and the skin subtly changes with the user's movements, leading to a change in capacitance. The terminal device can then perform certain specified actions. Thus, when a user wants to trigger a certain action, only the organ wearing the terminal device needs to perform the action. If the terminal device is worn on one hand, the other hand is completely free and does not need to participate. Therefore, the solution in this application significantly improves operational convenience.

[0134] This application also provides a terminal device, such as... Figure 3 As shown, the terminal device includes a body 4, a processing circuit 5, and a capacitive sensor 1. The capacitive sensor 1 is mounted on the body 4.

[0135] Each terminal device may include one or more capacitive sensors 1, the number of which is set according to actual detection needs. For example, for a ring-shaped wearable device, such as a smartwatch or smart bracelet, multiple capacitive sensors 1 can be set and evenly distributed on the inner side of the wearable device. Alternatively, multiple capacitive sensors 1 can be evenly arranged around a biometric sensor on the wearable device. The capacitive sensors 1 are positioned close to the surface of the terminal device that contacts the human skin. For reversible terminal devices, one or more capacitive sensors 1 can be set on each side.

[0136] The terminal device can be a wearable device that comes into contact with human skin when worn, such as a smartwatch, smart bracelet, smart necklace, or smart ankle bracelet. This embodiment uses a smartwatch as an example for explanation; other cases are similar and will not be described in detail.

[0137] Optional, such as Figure 4 As shown, a groove 6 can be provided on the surface of the device body 4. The capacitive sensor 1 is disposed in the groove 6, and the detection surface of the capacitive sensor 1 is lower than the opening of the groove 6, and the distance between the detection surface and the opening of the groove 6 is within a preset distance range. The aforementioned surface can be the surface of the terminal device that is close to the user's skin when worn.

[0138] The smartwatch body 4 can include a watch face and a watch band. The bottom surface of the watch face is the side that is closest to the skin when worn, and the bottom surface of the watch band is the side that is closest to the skin when worn. Grooves 6 can be provided on both the bottom surface of the watch face and the bottom surface of the watch band, or grooves 6 can be provided only on the bottom surface of either the watch face or the bottom surface of the watch band. The number and position of the grooves 6 can be arbitrarily set according to requirements. The number of grooves 6 can be the same as or different from the number of capacitive sensors 1; that is, a groove 6 can contain only one capacitive sensor 1, or a groove 6 can contain multiple capacitive sensors 1. For example, in example one, the bottom surfaces of the two watch bands each have multiple grooves 6, and the bottom surface of the watch face also has multiple grooves 6, with one capacitive sensor 1 in each groove 6. In example two, the bottom surfaces of the two watch bands and the bottom surface of the watch face each have one groove 6, and each groove 6 contains multiple capacitive sensors 1.

[0139] Additionally, for smart bracelets, the inner surface of the device 4 is the surface that is closest to the human skin when worn.

[0140] The capacitive sensor 1 can be 3D printed into the groove 6. The material can be conductive materials such as gold, silver, or copper. The metal material is 3D printed onto the bottom of the groove 6 to form a metal film with a predetermined pattern. (See the image for an example.) Figure 1 , Figure 2 .

[0141] Alternatively, the capacitive sensor 1 can be embedded under the surface of the device body 4, with the detection surface of the capacitive sensor 1 within a preset distance range from the surface. This surface can be the side of the terminal device that is in contact with the user's skin when worn.

[0142] During processing, a groove can be first made on the body 4, and the capacitive sensor 1 can be machined into the groove using 3D printing. Then, the groove can be sealed with appropriate materials to cover the capacitive sensor 1. In this way, the capacitive sensor 1 will not be exposed to the air, thus having better durability. Moreover, the capacitive sensor 1 will not be visible, which means it will not affect the product's appearance and will facilitate the product's industrial design.

[0143] Based on the above description of the capacitive sensor 1, the capacitive sensor 1 used in this embodiment has a characteristic: the capacitance value changes with the distance between the detection surface of the capacitive sensor 1 and the skin. The detection surface of the capacitive sensor 1 is the surface of the capacitive sensor 1 closest to the skin. When the skin approaches the detection surface of the capacitive sensor 1 and enters a certain distance range, the capacitance value of the capacitive sensor 1 will change due to the influence of the human body's capacitance. If the skin continues to approach the detection surface, the capacitance value will increase as the distance decreases, that is, the capacitance value is negatively correlated with distance. The groove 6 can better utilize this characteristic. The capacitive sensor 1 is recessed in the groove 6, and the distance between the detection surface and the groove opening is within a preset distance range, which is generally 0.5-1mm. In this way, when the user is wearing a smartwatch and their hand is in a static state, there will be no direct contact between the skin and the detection surface of the capacitive sensor 1. When the hand moves, the degree of contact between the skin and the watch body 4 changes slightly at different locations. For example, when the hand moves to the left, the contact between the skin on the left side of the wrist and the bottom surface of the left watch band increases, and some skin is pressed into the groove 6. Conversely, the contact between the skin on the right side of the wrist and the bottom surface of the right watch band decreases or even separates. At this time, the distance between the skin and the detection surface of the capacitive sensor 1 changes at different locations, and the capacitance value of the capacitive sensor 1 at the corresponding location also changes. In other words, the distance between the skin and the detection surface of the capacitive sensor 1 can be detected by measuring the capacitance value, thereby enabling motion detection or correct wear detection.

[0144] Each capacitive sensor 1 is electrically connected to the processing circuit 5. For the capacitive sensor 1 on the bottom surface of the watch band, the connecting wire can be placed inside the watch band; for the capacitive sensor 1 on the bottom surface of the watch face, the connecting wire can pass through the outer casing. Based on the electrical connection between the capacitive sensor 1 and the processing circuit 5, the processing circuit 5 can detect the capacitance value of the capacitive sensor 1 and perform corresponding processing based on the capacitance value of the capacitive sensor 1.

[0145] The specific methods for performing corresponding processing based on capacitance values ​​will be described in detail later. Here, we will introduce the internal structure of processing circuit 5.

[0146] like Figure 5 As shown, the processing circuit 5 may include a capacitance detection circuit 7 and a processor 8. The capacitance detection circuit 7 detects the capacitance value of the capacitance sensor 1 and sends indication information to the processor 8, wherein the indication information is determined based on the capacitance value. The processor 8 performs corresponding processing based on the indication information.

[0147] The indication information can be a capacitance value, or other information that corresponds one-to-one with different capacitance values. For example, indication information A corresponds to capacitance value 1, indication information B corresponds to capacitance value 2, and so on. This application uses capacitance values ​​as an example to illustrate the solution; other cases are similar and will not be described in detail.

[0148] Processor 8 can be a central processing unit (CPU). The following explains the various possibilities for the capacitance detection circuit 7.

[0149] In one possible implementation, the processing circuit 5 includes a capacitance detection circuit 7, which in turn includes at least one detection sub-circuit. Each detection sub-circuit is electrically connected to a capacitance sensor 1 and is used to detect the capacitance value of the corresponding capacitance sensor 1. Each detection sub-circuit may further include an analog signal detection circuit and an analog-to-digital converter. The analog signal detection circuit is electrically connected to the capacitance sensor 1 and can output an analog signal of voltage or current value, which represents the capacitance value of the capacitance sensor 1. When the capacitance value of the capacitance sensor 1 changes, the voltage or current value output by the analog signal detection circuit will also change accordingly. The analog signal of voltage or current value is input to the analog-to-digital converter and converted into a digital signal, which can represent the capacitance value. The capacitance detection circuit 7 may also include a signal transmission circuit. Each detection sub-circuit is electrically connected to the signal transmission circuit and sends the digital signal reflecting the capacitance value to the signal transmission circuit. The signal transmission circuit then sends the digital signal to the processor 8. When multiple capacitance sensors 1 exist, the signal transmitting circuit can send the digital signals of the capacitance values ​​of the multiple capacitance sensors 1 to the processor 8 using time-division multiplexing, or it can encode the digital signals of the capacitance values ​​of the multiple capacitance sensors 1 using code-division multiple access (CDMA) before sending them to the processor 8. This structure and corresponding processing method can reduce the pin occupancy of the processor 8. The structure of the capacitance detection circuit can be as follows: Figure 6 As shown.

[0150] In another possible implementation, the processing circuit 5 includes at least one capacitance detection circuit 7, each electrically connected to a capacitance sensor 1 to detect the capacitance value of the corresponding capacitance sensor 1. Each capacitance detection circuit 7 is also electrically linked to the processor 8. Each capacitance detection circuit 7 may further include an analog signal detection circuit and an analog-to-digital converter (ADC). The analog signal detection circuit is electrically connected to the capacitance sensor 1 and outputs an analog signal of voltage or current value, reflecting the capacitance value of the capacitance sensor 1. When the capacitance value of the capacitance sensor 1 changes, the voltage or current value output by the analog signal detection circuit also changes accordingly. The analog signal of voltage or current value is input to the ADC and converted into a digital signal, which represents the capacitance value. The ADC sends the digital signal to the processor 8. The structure of the capacitance detection circuit can be as follows: Figure 7 As shown.

[0151] The functions of processing circuit 5 are described below. Based on the structural characteristics of the terminal device described above, processing circuit 5 is used to detect the capacitance value of capacitance sensor 1, and performs corresponding processing based on the capacitance value of capacitance sensor 1. For different application scenarios, the specific processing performed by processing circuit 5 can be varied. Several specific processing methods are given below.

[0152] Process 1: Motion detection.

[0153] The processing flow of motion detection can be as follows: Figure 8 The process includes the following steps: 801, acquiring the capacitance value of the capacitance sensor; 802, determining the target action command corresponding to the action of the target part based on the capacitance value; 803, executing the processing corresponding to the target action command. Step 801 can be completed jointly by the capacitance sensor 1 and the capacitance value detection circuit 7, while steps 802 and 803 can be completed by the processor 8. The processor 8 may include an action recognition module and an execution module, such as... Figure 9 As shown, the motion recognition module determines the corresponding target motion command based on the capacitance value of the capacitance sensor, and the execution module performs the processing corresponding to the target motion command. The target body part is the part of the user's device that they wear.

[0154] The target action instruction is the instruction that triggers the execution of the processing, such as a volume increase instruction or a volume decrease instruction. The processor 8 can directly determine the target action instruction based on the capacitance value. Alternatively, the processor 8 can first determine the target action based on the capacitance value, and then determine the target action instruction based on the target action. Actions can be recorded using identifiers; for example, an upward arm swing action is identified as 001, a downward arm swing action as 002, and so on. This application embodiment uses the example of the processor first determining the target action and then determining the corresponding target action instruction to illustrate the solution in detail. Other situations are similar and will not be described in detail further.

[0155] Action commands triggered by various actions can be arbitrarily set according to needs. For example, an upward arm swing triggers a command to increase the volume, a downward arm swing triggers a command to decrease the volume, or a right arm swing triggers a fast-forward command from the smartwatch to the TV, and so on. The mapping between actions and action commands can be defined separately in different applications. Based on the mapping between actions and action commands in the currently running application, the target action command corresponding to the target action can be determined and executed. Alternatively, the mapping between actions and action commands can be defined separately in different interfaces of different applications. Based on the mapping between actions and action commands in the current interface of the currently running application, the target action command corresponding to the target action can be determined and executed.

[0156] Wearable devices designed for wraparound wear, such as smartwatches and smart bracelets, can detect a wider range of movements. These devices may have the following structural features: multiple capacitive sensors 1 are distributed across the terminal device, so that when the terminal device is worn, the multiple capacitive sensors are arranged around the user's target area. The target area is the part of the body where the user wears the terminal device.

[0157] like Figure 10 As shown, the terminal device includes multiple capacitive sensors 1. The body 4 has a ring structure, and the multiple capacitive sensors 1 are evenly distributed on the body 4. The multiple capacitive sensors 1 are numbered A to N in the figure. The figure illustrates the distribution of the capacitive sensors 1. Other components are not all shown in the figure. The multiple capacitive sensors 1 can be evenly arranged circumferentially on the terminal device. Specifically, they can be arranged in grooves on the inner surface of the ring-shaped body 4, or they can be buried in a shallow layer on the inner surface of the ring-shaped body 4, or they can be directly arranged on the inner surface of the ring-shaped body 4.

[0158] Based on the aforementioned structural characteristics, when wearing a smartwatch, if the user swings their arm in any direction, the skin on the side of the movement becomes closer to the corresponding capacitive sensors 1, increasing the capacitance value. Conversely, the skin on the opposite side of the movement becomes farther away from the corresponding capacitive sensors 1, decreasing the capacitance value. The following section addresses... Figure 10 The following example illustrates the configuration of capacitive sensor 1, with a smartwatch worn on the right hand, the watch face on the back of the wrist, and the palm facing down during the action. It explains the distribution of capacitance values ​​for each capacitive sensor 1 during the action. When swinging the arm upwards, the distribution of capacitance values ​​detected by each capacitive sensor 1 can be seen as follows: Figure 11 As shown, when the arm swings downwards, the distribution of the capacitance values ​​detected by each capacitance sensor 1 can be as follows: Figure 12 As shown, when the arm is swung to the left, the distribution of the capacitance values ​​detected by each capacitance sensor 1 can be as follows: Figure 13 As shown, when the arm is swung to the right, the distribution of the capacitance values ​​detected by each capacitance sensor 1 can be as follows: Figure 14 As shown.

[0159] Based on the above characteristics, a corresponding judgment method can be designed to judge the user's actions based on the detection of capacitance value.

[0160] The following are some feasible methods for determining actions.

[0161] Action determination method (1) sets corresponding capacitance value conditions for each action, and determines the corresponding action based on the conditions satisfied by the detected capacitance value.

[0162] Correspondingly, the processing circuit 5 is used to determine the target action corresponding to the target capacitance value condition satisfied by the capacitance value of the capacitance sensor 1 based on the pre-stored correspondence between action and capacitance value conditions.

[0163] Technicians can set the types of actions based on product requirements and design the distribution of capacitive sensors 1, and then set the capacitance value conditions corresponding to each action. For ring-shaped wearable devices such as smartwatches or smart bracelets, multiple capacitive sensors 1 can be set on the inner surface of the ring. The corresponding actions can include at least one of upward arm swing, downward arm swing, left arm swing, and right arm swing. The capacitance value conditions corresponding to each action can be as follows:

[0164] The capacitance value conditions corresponding to the upward arm swing are: the difference between the capacitance values ​​of any two capacitor sensors 1 in the first capacitor sensor set is less than the difference threshold; the difference between the capacitance values ​​of any two capacitor sensors 1 in the second capacitor sensor set is less than the difference threshold; and the average capacitance value of all capacitor sensors 1 in the first capacitor sensor set is greater than the average capacitance value of all capacitor sensors 1 in the second capacitor sensor set.

[0165] The capacitance value conditions corresponding to the downward arm swing are: the difference between the capacitance values ​​of any two capacitor sensors 1 in the first capacitor sensor set is less than the difference threshold; the difference between the capacitance values ​​of any two capacitor sensors 1 in the second capacitor sensor set is less than the difference threshold; and the average capacitance value of each capacitor sensor 1 in the first capacitor sensor set is less than the average capacitance value of each capacitor sensor 1 in the second capacitor sensor set.

[0166] The capacitance value conditions corresponding to swinging the arm to the left are: the difference between the capacitance values ​​of any two capacitor sensors 1 in the third capacitor sensor set is less than the difference threshold; the difference between the capacitance values ​​of any two capacitor sensors 1 in the fourth capacitor sensor set is less than the difference threshold; and the average capacitance value of all capacitor sensors 1 in the third capacitor sensor set is greater than the average capacitance value of all capacitor sensors 1 in the fourth capacitor sensor set.

[0167] The capacitance value conditions corresponding to swinging the arm to the right are: the difference between the capacitance values ​​of any two capacitor sensors 1 in the third capacitor sensor set is less than the difference threshold; the difference between the capacitance values ​​of any two capacitor sensors 1 in the fourth capacitor sensor set is less than the difference threshold; and the average capacitance value of all capacitor sensors 1 in the third capacitor sensor set is less than the average capacitance value of all capacitor sensors 1 in the fourth capacitor sensor set.

[0168] The first set of capacitive sensors consists of capacitive sensors 1 located in the first region of the target area when worn. The second set of capacitive sensors consists of capacitive sensors 1 located in the second region of the target area when worn, with the first region being different from the second region. The third set of capacitive sensors consists of capacitive sensors 1 located in the third region of the target area when worn, and the fourth set of capacitive sensors consists of capacitive sensors 1 located in the fourth region of the target area when worn, with the third region being different from the fourth region. Specifically, the first and second regions can be opposite sides of the wrist, such as the upper and lower sides of the wrist, and the third and fourth regions can be opposite sides of the wrist, such as the left and right sides of the wrist.

[0169] by Figure 10 Taking the case of 14 capacitive sensors shown as an example, the above-mentioned sets of capacitive sensors can be set up as follows (see...). Figure 10 ):

[0170] In setting (a), the first set of capacitive sensors includes capacitive sensors D to J, the second set of capacitive sensors includes capacitive sensors A to C and K to N, the third set of capacitive sensors includes capacitive sensors A to G, and the fourth set of capacitive sensors includes capacitive sensors H to N.

[0171] In setting (b), considering that the capacitance values ​​of some capacitive sensors in critical positions may not fully meet the above capacitance value conditions—for example, capacitive sensors A, N, G, and H are not sensitive to left and right arm swings, and capacitive sensors D and K are not sensitive to up and down arm swings—the following settings can be configured: the first set of capacitive sensors includes capacitive sensors F, G, H, and I; the second set includes capacitive sensors A, B, M, and N; the third set includes capacitive sensors C, D, E, and F; and the fourth set includes capacitive sensors I, J, K, and L. This configuration, by removing some capacitive sensors in critical positions from the sets, can also reduce motion detection errors caused by wearing misalignment.

[0172] The smartwatch's instruction manual or the prompts displayed on the smartwatch can inform the user of a specified wearing position and the orientation of the user's palm when performing actions. For example, the user can be informed to wear the smartwatch on the outside of their right hand and perform actions with their palm facing down. This example matches the settings (a) and (b) mentioned above. Of course, the specified wearing position and palm orientation can also be indicated in other ways, and the aforementioned sets of capacitive sensors will be adjusted accordingly at any time. They will not be listed here.

[0173] Alternatively, it's not necessary to require the user to adopt a specific wearing position and hand orientation. Wearing position detection can be performed before motion detection to determine the current wearing position of the smartwatch, i.e., whether the hand wearing the smartwatch is left or right, and whether the watch face is located on the outside or inside of the wrist. Then, the orientation of the user's hand wearing the smartwatch is determined. Next, based on the pre-stored correspondence between wearing position, hand orientation, motion, and capacitance value conditions, the target motion corresponding to the current wearing position, the corresponding hand orientation, and the target capacitance value condition satisfied by capacitance sensor 1 is determined. In this correspondence, a corresponding set of capacitance sensors can be set for each capacitance value condition. Here, we continue with the example of the 14 capacitance sensors mentioned above, as detailed below.

[0174] If the wearing position is on the outside of the right wrist, with the palm facing vertically downwards, then under the above capacitance value conditions, the first set of capacitance sensors includes capacitance sensors F, G, H, and I; the second set of capacitance sensors includes capacitance sensors A, B, M, and N; the third set of capacitance sensors includes capacitance sensors C, D, E, and F; and the fourth set of capacitance sensors includes capacitance sensors I, J, K, and L.

[0175] If the wearing position is on the inside of the right wrist, with the palm facing vertically downwards, then under the above capacitance value conditions, the first set of capacitance sensors includes capacitance sensors A, B, M, and N; the second set of capacitance sensors includes capacitance sensors F, G, H, and I; the third set of capacitance sensors includes capacitance sensors I, J, K, and L; and the fourth set of capacitance sensors includes capacitance sensors C, D, E, and F.

[0176] There are many other wearing positions and palm orientations, and the setup of the capacitive sensor set is similar to the two situations mentioned above, which will not be listed here.

[0177] The following explains how to determine the wearing position and the direction of the palm.

[0178] First, check the wearing position.

[0179] Method (a) determines the wearing position based on the parameter values ​​output by sensors such as gyroscopes and / or velocity sensors and pre-stored reference parameter values. The following explanation uses gyroscopes as an example. Other cases are similar and will not be elaborated further.

[0180] Technicians conducted multiple data collections, each time wearing the smartwatch in a specific position, such as the outer side of the left wrist, the inner side of the left wrist, the outer side of the right wrist, and the inner side of the right wrist. After wearing the smartwatch, technicians could raise their wrist to check the time and collect a series of parameter values ​​output by the gyroscope during this action. For example, if the entire action lasted 1 second, parameter values ​​were collected every 100 milliseconds. Thus, for each wearing position, a series of gyroscope output parameter values ​​could be obtained. This series of parameter values ​​can serve as a benchmark for subsequent comparisons with other gyroscope output values, and can be called a benchmark gyroscope parameter value sequence. Therefore, a correspondence between wearing positions and benchmark gyroscope parameter value sequences can be established. In this correspondence, one wearing position can correspond to one or more benchmark gyroscope parameter value sequences.

[0181] During the user's use of the smartwatch, the smartwatch can acquire gyroscope parameter values ​​in real time. A sequence of gyroscope parameter values ​​for a given duration (equal to the acquisition duration of the aforementioned baseline gyroscope parameter value sequence, e.g., 1 second) is compared with each baseline gyroscope parameter value sequence to calculate the matching degree. If the matching degree between the target baseline gyroscope parameter value sequence and this sequence is greater than a preset threshold, the target wearing position corresponding to the target baseline gyroscope parameter value sequence is determined within this correspondence; this is the current wearing position of the smartwatch. To ensure the accuracy of the wearing position determination, multiple wearing position detection results can be obtained based on the above method. The wearing position detected more than a threshold number of times is determined as the current wearing position of the smartwatch.

[0182] Method (b) determines the wearing position based on the parameter values ​​output by sensors such as gyroscopes and / or velocity sensors and machine learning models. The following explanation uses gyroscopes as an example. Other cases are similar and will not be elaborated further.

[0183] During the process of a user wearing and using a smartwatch, the smartwatch can obtain gyroscope parameter values ​​in real time. The gyroscope parameter value sequence for a certain period of time (such as 1 second) is input into the wearing position detection model, and the wearing position is output, which is the current wearing position of the smartwatch.

[0184] The wearing position detection model is a pre-trained machine learning model, and the specific model algorithm can be arbitrarily selected according to the requirements. This application does not limit it.

[0185] Before using the wearing position detection model, a large number of sample gyroscope parameter value sequences can be obtained, and the actual wearing position corresponding to each sample gyroscope parameter value sequence can be obtained as the reference wearing position. The wearing position detection model is trained based on the sample gyroscope parameter value sequences and the reference wearing position.

[0186] After detecting the wearing position, the palm orientation of the hand corresponding to the wearing position can be further determined. The most basic palm orientation can include palm down and palm up, and can also include palm to the left, palm to the right, etc.

[0187] The system can pre-detect the gyroscope parameter values ​​corresponding to different palm orientations under each wearing position, obtain the correspondence between wearing position, palm orientation, and gyroscope parameter values, and store this information. After detecting the wearing position, the system looks up the corresponding palm orientation in this correspondence based on the detected current wearing position and the current gyroscope parameter values.

[0188] Alternatively, the palm orientation can be left undetected, with the user directly informed of the specified palm orientation, such as palm down, in the smartwatch's instruction manual or in the prompts displayed on the smartwatch.

[0189] Action determination method (II): Based on a machine learning model, identify the action corresponding to the detected capacitance value.

[0190] Correspondingly, processor 8 is used to input the indication information into the pre-trained recognition model, and when the output of the recognition model is the target action instruction, to execute the processing corresponding to the target action instruction.

[0191] The recognition model is a pre-trained machine learning model, and the specific model algorithm can be arbitrarily selected according to requirements, such as Bayesian, decision tree, etc., and this application does not limit it. The output of the recognition model can be different action commands, or it can be no command.

[0192] Before using the recognition model, technicians can wear a smartwatch to perform various actions, detecting and recording the capacitance values ​​of all capacitance sensors 1 during each action. The capacitance values ​​are arranged according to a predetermined order among the sensors to obtain a sample capacitance value sequence. The action performed during the detection of each sample capacitance value sequence is recorded, along with the pre-defined action command corresponding to that action, serving as a baseline action command. Then, the recognition model is trained based on a large number of sample capacitance value sequences and baseline action commands. After training, the recognition model can accurately identify action commands based on capacitance values.

[0193] Step 2: Wear the test kit correctly.

[0194] The correct procedure for wearing the test can be as follows: Figure 15 The process includes the following steps: 1501, acquiring the capacitance value of the capacitance sensor; 1502, determining that the terminal device is not worn correctly based on the capacitance value of the capacitance sensor; 1503, issuing a prompt message indicating incorrect wearing. Step 1501 can be completed jointly by the capacitance sensor 1 and the capacitance value detection circuit 7, while steps 1502 and 1503 can be completed by the processor 8. The processor 8 may include a correct wearing determination module and an execution module, such as... Figure 16 As shown, the correct wearing determination module is used to determine that the terminal device is not worn correctly based on the capacitance value of the capacitance sensor, and the execution module is used to issue a prompt message indicating that it is not worn correctly.

[0195] Generally, the most common scenario for correctly wearing a detection device is to check whether the position of a biometric sensor is flat and fits snugly against the skin. Correspondingly, wearable devices may have the following structural features: such as... Figure 17 As shown, the terminal device includes multiple capacitive sensors 1 and a biometric sensor 9. The multiple capacitive sensors 1 are evenly distributed around the biometric sensor 9. The figure illustrates the distribution of the capacitive sensors 1 and their positional relationship with the biometric sensor 9; other components are not all shown in the figure.

[0196] The biometric sensor 9 can be a sensor that needs to be worn close to the skin to accurately detect corresponding parameters, such as a pulse sensor. The biometric sensor 9 is electrically connected to the processing circuit 5. Both the capacitive sensor 1 and the biometric sensor 9 are located on the side of the device body 4 closest to the skin. All capacitive sensors 1 are evenly distributed on a circle centered on the biometric sensor 9, and the spacing between any two adjacent capacitive sensors 1 is the same. The number of capacitive sensors 1 can be set according to actual accuracy requirements; for example, four can be set, located at the 3 o'clock, 6 o'clock, 9 o'clock, and 12 o'clock positions.

[0197] Based on the above structural features, the processing circuit 5 is used to determine the target capacitance sensor 1 whose capacitance value is not within the preset value range, determine the position corresponding to the target capacitance sensor 1 as the position where the terminal device is not worn correctly, and issue a prompt message that the device is not worn correctly at that position.

[0198] Technicians can first determine the location of the capacitive sensor 1 on the back of the smartwatch, then determine the distance range between the capacitive sensor 1 and the skin when correctly worn, such as 0-0.5mm. Based on this distance range, a preset range of capacitance values ​​is determined and stored in the smartwatch. This preset range represents the capacitance value when correctly worn. When the user wears the smartwatch and needs to monitor biometrics, such as heart rate, the smartwatch can obtain the capacitance values ​​of each capacitive sensor 1 and determine whether the capacitance value of each sensor 1 is within the preset range. If the capacitance value of a target sensor 1 is not within the preset range, it can be determined that the corresponding position of the target sensor 1 is not properly secured. At this time, a corresponding prompt message can be issued, for example, "The 3 o'clock position is not tight enough for accurate heart rate detection. Please adjust it." The prompt message can be displayed on the screen or read aloud via voice.

[0199] The following describes the triggering methods for motion detection or correct wearing detection.

[0200] Detection enabled trigger

[0201] Processor 8 is used to initiate capacitance value detection when a startup trigger event is detected. When no startup trigger event is detected, processor 8 can control the power supply to capacitance sensor 1 to prevent capacitance value detection. Capacitance value detection only begins after a startup trigger event is detected. This can save power to some extent. The startup trigger event can be triggered by user operation or automatically by an application or system program in a certain business scenario. The startup trigger event can be arbitrarily set based on actual needs; several feasible startup trigger events are described below.

[0202] (1) The attitude information of the terminal device satisfies the first attitude condition.

[0203] The first posture condition is the condition that the smartwatch's posture information needs to meet.

[0204] For example, the first posture condition is that the smartwatch's posture information changes from a first posture information to a second posture information. The first posture information is a posture information where the watch face is facing up, and the second posture information is a posture information where the watch face is facing down. The corresponding action is that the user wearing the smartwatch flips their wrist, changing the watch face from facing up to facing down. Another example is that the first posture condition is that the smartwatch maintains a third posture information for a preset time. The third posture information is a posture information where the watch face is facing up, and the corresponding action is that the user keeps the watch face facing up for a certain period of time.

[0205] (2) The motion information of the terminal device satisfies the first motion condition.

[0206] The first motion condition is that the motion parameters of the smartwatch, such as speed, acceleration, or displacement, must meet certain conditions.

[0207] For example, within a preset time period, the speed increases to a preset speed value, and the displacement direction is upward, the corresponding action is for the user to quickly raise their hand.

[0208] (3) Received the start command.

[0209] The start command can be a command triggered by the user's operation of a physical button or virtual control.

[0210] For example, a floating control can be set in the interface of a smartwatch. When the capacitance detection is off, clicking the control can send a start command.

[0211] (4) Target function enabled.

[0212] For example, the heart rate monitoring function can be enabled, either automatically or by user intervention.

[0213] Triggering the end of the detection

[0214] Processor 8 is also used to stop capacitance value detection when a shutdown trigger event is detected. The shutdown trigger event can be arbitrarily set according to actual needs and can be set in conjunction with the startup trigger time. Several feasible startup trigger events are introduced below.

[0215] (1) The attitude information of the terminal device satisfies the second attitude condition.

[0216] The second posture condition is a condition that the posture information of the smartwatch needs to meet.

[0217] For example, the second posture condition is that the smartwatch's posture information changes from a second posture information to a first posture information, where the first posture information is a face-up posture and the second posture information is a face-down posture. The corresponding action is for the user wearing the smartwatch to flip their wrist, changing the watch face from face-down to face-up. Another example is that the second posture condition is that the smartwatch maintains a fourth posture information for a preset duration, where the fourth posture information is a face-down posture. The corresponding action is for the user to maintain the face-down posture for a set duration.

[0218] (2) The motion information of the terminal device satisfies the second motion condition.

[0219] The second motion condition is a condition that the motion parameters of the smartwatch, such as speed, acceleration, or displacement, must meet.

[0220] For example, within a preset time period, the speed increases to a preset speed value, and the displacement direction is downward, the corresponding action is for the user to quickly swing their hand downward.

[0221] (3) Received the shutdown command.

[0222] The close command can be triggered by the user's operation of a physical button or virtual control.

[0223] For example, a floating control can be set in the interface of a smartwatch. When the capacitance detection is in the activated state, clicking the control can issue a shutdown command.

[0224] (4) Target function is off.

[0225] For example, the heart rate detection function can be turned off. This function can be turned off automatically after a preset time has elapsed since the heart rate detection was completed, or it can be turned off by user operation.

[0226] In this embodiment, the terminal device uses the aforementioned capacitive sensor 1 to sense changes in distance from human skin, and is not affected by interference from other conductive objects at a distance. This allows for more accurate motion detection or proper wear detection.

[0227] This application also provides a sensor component for a terminal device, such as... Figure 18 As shown, the sensor assembly includes a base 10 and a capacitive sensor 1, with the capacitive sensor 1 disposed on the base 10.

[0228] The sensor component is an accessory to the terminal device. It can be installed on or removed from the terminal device and used on different devices. For example, a user may have a smartwatch, a smart bracelet, and a sensor component. When using the smartwatch, the sensor component can be installed on the smartwatch; when using the smart bracelet, the sensor component can be removed from the smartwatch and installed on the smart bracelet. The sensor component can be installed on the surface of the terminal device that comes into contact with the skin. The function of the sensor component is to perform capacitance detection.

[0229] The terminal device can be a wearable device that comes into contact with human skin when worn, such as a smartwatch, smart bracelet, smart necklace, or smart ankle bracelet. This embodiment uses a smartwatch as an example for explanation; other cases are similar and will not be described in detail.

[0230] The shape of the base 10 depends on the distribution requirements of the capacitive sensors 1, and can be elongated, circular, or similar. The base 10 is made of a flexible material, such as rubber or plastic. One surface of the base 10 is where the capacitive sensors 1 are mounted. After the sensor assembly is installed on the smartwatch, the other surface of the base is in contact with the terminal device. When the user wears the smartwatch, the surface of the base 10 where the capacitive sensors 1 are mounted is in contact with the skin; that is, when the sensor assembly is mounted on the terminal device and the terminal device is worn, this surface is on the side of the base 10 closest to the user's skin.

[0231] A groove 11 can be provided on the surface of the base 10. A capacitive sensor 1 is disposed in the groove 11, with the detection surface of the capacitive sensor 1 lower than the opening of the groove 11, and the distance between the detection surface and the opening of the groove 11 within a preset distance range. The preset distance range can be 0.5-1mm. When the sensor assembly is installed on the terminal device and the terminal device is worn, this surface is on the side of the base 10 closest to the user's skin. The number and position of the grooves 6 can be arbitrarily set according to requirements. The number of grooves 6 can be the same as or different from the number of capacitive sensors 1. That is, only one capacitive sensor 1 can be disposed in one groove 6, or multiple capacitive sensors 1 can be disposed in one groove 6. For example, a long strip groove 11 can be provided to house all capacitive sensors 1, or multiple square grooves 11 can be provided, with one capacitive sensor 1 disposed in each square groove 11.

[0232] The capacitive sensor can be 3D printed into the groove 6. The material can be conductive materials such as gold, silver, or copper. The metal material is 3D printed onto the bottom of the groove 6 to form a metal film with a predetermined pattern. (See the image for an example.) Figure 1 , Figure 2 .

[0233] Alternatively, the capacitive sensor 1 may be embedded beneath the surface of the base 10, with the detection surface of the capacitive sensor 1 within a preset distance range. This preset distance range can be 0.5-1 mm. When the sensor assembly is mounted on the terminal device and the terminal device is worn, this surface is on the side of the base 10 closest to the user's skin.

[0234] During processing, a groove can be first made on the base 10, and the capacitive sensor 1 can be machined into the groove using 3D printing. Then, the groove can be sealed with appropriate materials to cover the capacitive sensor 1. In this way, the capacitive sensor 1 will not be exposed to the air, thus having better durability. Moreover, the capacitive sensor 1 will not be visible, which means it will not affect the product's appearance and will facilitate the product's industrial design.

[0235] The following describes a terminal device, including a body, processing circuitry, and the aforementioned sensor components, with a base 10 fixed to the body. Taking a smartwatch as an example, a smartwatch may include a body and processing circuitry.

[0236] A mounting structure can be provided between the fuselage and the base 10 for fixing the two together. For example, a mounting groove can be provided on the fuselage, the shape of which matches the base 10, and the base 10 can be installed in the mounting groove. Alternatively, multiple mounting holes can be provided on the fuselage, and a mounting post can be provided on the base 10 at a position corresponding to each mounting hole. The mounting post and the mounting hole are interference-fitted, thus fixing the base 10 to the fuselage through the mounting post and the mounting hole. Figure 19 This is a schematic diagram showing the terminal equipment and sensor components installed together.

[0237] A first connection port can be provided on the body of the smartwatch, and a corresponding second connection port can be provided on the base 10 at the same position. The first connection port is electrically connected to the processing circuit, and the second connection port is electrically connected to the capacitive sensor 1. When the base 10 is fixed to the smartwatch, the first connection port and the second connection port are electrically connected. Two specific scenarios are described below.

[0238] In scenario one, the device body has a first connection port, and the base 10 has a second connection port. The first and second connection ports have the same number of pins, which is the same as the number of capacitive sensors 1 in the sensor assembly. Each pin of the second connection port is electrically connected to one capacitive sensor 1.

[0239] In scenario two, the device body has multiple first connection ports, and the base 10 has multiple second connection ports. The number of first and second connection ports is the same as the number of capacitive sensors 1 in the sensor assembly. Each second connection port is electrically connected to one capacitive sensor 1.

[0240] The specific structure and function of the processing circuit have been described in the previous embodiments and will not be repeated here.

[0241] In this embodiment, the sensor component employs the aforementioned capacitive sensor 1, which can sense changes in distance from human skin and is not affected by interference from other conductive objects at a distance. This allows for more accurate motion detection or correct wear detection. Furthermore, this sensor component is detachable from the terminal device, improving the flexibility of the terminal device in motion detection, correct wear detection, and other functions.

[0242] This application also provides a detection method, which can be applied to the aforementioned terminal device, such as... Figure 20 As shown, the method includes the following steps:

[0243] 2001, detect the capacitance value of capacitance sensor 1.

[0244] 2002, based on the indication information, perform the corresponding processing, which is determined according to the capacitance value.

[0245] In one possible implementation, when the terminal device is worn on a target area of ​​the user, the capacitance value of the capacitive sensor 1 changes according to the movement of the target area. The terminal device determines the target action command corresponding to the movement of the target area based on the indication information and executes the processing corresponding to the target action command.

[0246] In one possible implementation, the indication information is a capacitance value. The terminal device determines the target action command based on the pre-stored capacitance value conditions and the capacitance value, and executes the corresponding processing for the target action command. The target action command and the capacitance value conditions are corresponding.

[0247] In one possible implementation, there are multiple capacitive sensors 1, and the terminal device is a wraparound wearable device. The multiple capacitive sensors 1 are distributed on the terminal device, so that when the terminal device is worn, the multiple capacitive sensors are distributed around the target area. The capacitance value condition is determined based on a first average of the capacitance values ​​of each capacitive sensor 1 in a first set of capacitive sensors and a second average of the capacitance values ​​of each capacitive sensor 1 in a second set of capacitive sensors.

[0248] The first set of capacitive sensors consists of capacitive sensors 1 located in the first region of the target area when worn, and the second set of capacitive sensors consists of capacitive sensors 1 located in the second region of the target area when worn. The first region and the second region are different.

[0249] In one possible implementation, the terminal device will input instruction information into a pre-trained recognition model, and when the output of the recognition model is a target action command, it will execute the processing corresponding to the target action command.

[0250] In one possible implementation, there are multiple capacitive sensors 1, and the terminal device also includes a biometric sensor 9, with the multiple capacitive sensors 1 evenly distributed around the biometric sensor 9. The terminal device determines that the device is not being worn correctly based on the capacitance value and pre-stored capacitance value conditions, and issues a warning message indicating incorrect wearing.

[0251] For a detailed description of the processing procedure of the detection method, please refer to the above embodiment.

[0252] In this embodiment, the terminal device uses the aforementioned capacitive sensor, which effectively utilizes the characteristic that capacitance changes with the distance between the sensor and the conductor. Through the parameter settings described above, the capacitive sensor can better sense changes in distance to the skin in close proximity, detecting the distance between the skin and the terminal device by measuring the capacitance value. When a user performs actions while wearing the terminal device, the distance between the sensor and the skin subtly changes with the user's movements, leading to a change in capacitance. The terminal device can then perform certain specified actions. Thus, when a user wants to trigger a certain action, only the organ wearing the terminal device needs to perform the action. If the terminal device is worn on one hand, the other hand is completely free and does not need to participate. Therefore, the solution of this application improves operational convenience.

[0253] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a device, they generate, in whole or in part, the processes or functions described in the embodiments of this application. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic cable, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to the device or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, and magnetic tape), an optical medium (e.g., digital video disk (DVD), etc.), or a semiconductor medium (e.g., solid-state drive).

[0254] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0255] The above description is merely one embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A terminal device, characterized in that, The terminal device is a wearable device worn around the user's body. The terminal device includes a capacitance detection circuit (7), a processor (8), multiple capacitance sensors (1), and a body (4). The multiple capacitance sensors (1) are distributed on the terminal device. When the terminal device is worn by the user, the multiple capacitance sensors (1) surround the part of the user wearing the terminal device, wherein: The capacitive sensor (1) includes multiple first plates (2) and multiple second plates (3). The multiple first plates (2) and the multiple second plates (3) are used to connect different electrodes. The multiple first plates (2) and the multiple second plates (3) form multiple plate pairs. Each plate pair consists of adjacent first plates (2) and second plates (3). The number of multiple plate pairs is greater than or equal to 5. The ratio of the effective plate length to the plate spacing of each plate pair is greater than 10. The ratio of the plate width to the plate spacing of each plate pair is greater than 2. The first surface of the body (4) is provided with a plurality of grooves (6), and the plurality of capacitive sensors (1) are disposed in the plurality of grooves (6). The detection surface of each capacitive sensor (1) is lower than the groove opening of the groove (6) in which it is located. The first surface is the surface of the terminal device that is close to the user's skin when it is worn. The capacitance detection circuit (7) is used to detect the capacitance value of the capacitance sensor (1) and send indication information to the processor (8), wherein the indication information is determined based on the capacitance value; The processor (8) is used to perform corresponding processing based on the indication information.

2. The terminal device according to claim 1, characterized in that, The capacitance sensor (1) is used to detect changes in capacitance value when the user wears the terminal device on the user's target area and when the target area is moved. The processor (8) is used to perform corresponding processing based on the indication information, specifically: The processor (8) is used to determine the target action instruction corresponding to the action based on the indication information, and to execute the processing corresponding to the target action instruction.

3. The terminal device according to claim 2, characterized in that, The indication information is the capacitance value. The processor (8) is used to determine the target action instruction corresponding to the action based on the indication information, and to execute the processing corresponding to the target action instruction, specifically: The processor (8) is used to determine the target action instruction based on the pre-stored capacitance value conditions and the capacitance value, and to execute the processing corresponding to the target action instruction.

4. The terminal device according to claim 3, characterized in that, The capacitance value condition is determined based on the first average value of the capacitance values ​​of each capacitance sensor (1) in the first set of capacitance sensors and the second average value of the capacitance values ​​of each capacitance sensor (1) in the second set of capacitance sensors. The first set of capacitive sensors consists of capacitive sensors (1) located in the first region of the target area when worn; The second set of capacitive sensors consists of capacitive sensors (1) located in the second region of the target area when worn; The first region is different from the second region.

5. The terminal device according to claim 2, characterized in that, The processor (8) is configured to determine the target action instruction corresponding to the action based on the indication information, and execute the processing corresponding to the target action instruction, specifically: The processor (8) is used to input the indication information into a pre-trained recognition model, and when the output of the recognition model is a target action instruction, to execute the processing corresponding to the target action instruction.

6. The terminal device according to claim 1, characterized in that, The terminal device also includes a biosignature sensor (9), and the plurality of capacitive sensors (1) are evenly distributed around the biosignature sensor (9).

7. The terminal device according to claim 1, characterized in that, The processor (8) is used to determine that the terminal device is not worn correctly based on the capacitance value and the pre-stored capacitance value conditions, and to issue a prompt message indicating that it is not worn correctly.

8. The terminal device according to any one of claims 1-7, characterized in that, The terminal device also includes a base, which is disposed on the surface of the terminal device, and the capacitive sensor (1) is disposed on the base.

9. A detection method, wherein the detection method is applied to a terminal device, the terminal device being a wearable device worn around the body, characterized in that, The terminal device includes multiple capacitive sensors (1), a body (4), a capacitance value detection circuit (7) and a processor (8). The multiple capacitive sensors (1) are distributed on the terminal device. When the terminal device is worn by the user, the multiple capacitive sensors (1) surround the part of the user wearing the terminal device. The capacitive sensor (1) includes multiple first plates (2) and multiple second plates (3). The multiple first plates (2) and the multiple second plates (3) are used to connect different electrodes. The multiple first plates (2) and the multiple second plates (3) form multiple plate pairs. Each plate pair consists of adjacent first plates (2) and second plates (3). The number of multiple plate pairs is greater than or equal to 5. The ratio of the effective plate length to the plate spacing of each plate pair is greater than 10. The ratio of the plate width to the plate spacing of each plate pair is greater than 2. The first surface of the body (4) is provided with a plurality of grooves (6), and the plurality of capacitive sensors (1) are disposed in the plurality of grooves (6). The detection surface of each capacitive sensor (1) is lower than the groove opening of the groove (6) in which it is located. The first surface is the surface of the terminal device that is close to the user's skin when it is worn. The method includes: The capacitance detection circuit (7) detects the capacitance value of the capacitance sensor (1) and sends indication information to the processor (8), wherein the indication information is determined based on the capacitance value; The processor (8) performs the corresponding processing based on the instruction information.

10. The method according to claim 9, characterized in that, When the terminal device is worn on the user's target area, the capacitance value of the capacitive sensor (1) changes according to the movement of the target area; Based on the indicated information, the corresponding processing is performed, specifically as follows: Based on the indication information, determine the target action command corresponding to the action of the target part, and execute the processing corresponding to the target action command.

11. The method according to claim 10, characterized in that, The indication information is the capacitance value. The process of determining the target action command corresponding to the action of the target part based on the indication information and executing the processing corresponding to the target action command specifically includes: The target action instruction is determined based on the pre-stored capacitance value conditions and the capacitance value, and the corresponding processing is executed. The target action instruction corresponds to the capacitance value conditions.

12. The method according to claim 11, characterized in that, The capacitance value condition is determined based on the first average value of the capacitance values ​​of each capacitance sensor (1) in the first set of capacitance sensors and the second average value of the capacitance values ​​of each capacitance sensor (1) in the second set of capacitance sensors. The first set of capacitive sensors consists of capacitive sensors (1) located in the first region of the target area when worn; The second set of capacitive sensors consists of capacitive sensors (1) located in the second region of the target area when worn; The first region is different from the second region.

13. The method according to claim 10, characterized in that, The process of determining the target action command corresponding to the action of the target part based on the indication information and executing the processing corresponding to the target action command specifically includes: The instruction information is input into a pre-trained recognition model. When the output of the recognition model is a target action instruction, the processing corresponding to the target action instruction is executed.

14. The method according to claim 9, characterized in that, The terminal device also includes a biosignal sensor (9), and the plurality of capacitive sensors (1) are evenly distributed around the biosignal sensor (9); Based on the capacitance value and pre-stored capacitance value conditions, it is determined that the terminal device is not worn correctly, and a prompt message indicating that it is not worn correctly is issued.

Images