Hearing aid in-ear detection method and device, hearing aid and storage medium

Abstract

The application discloses a hearing aid in-ear detection method and device, a hearing aid and a storage medium, and comprises the following steps: analyzing a sensing signal collected by a detection device on the hearing aid to obtain a wearing probability of the hearing aid in a detection dimension corresponding to the detection device; fusing the wearing probabilities of the hearing aid in the detection dimensions corresponding to the respective detection devices to obtain a fusion probability; wherein the fusion probability represents the possibility that a user wears the hearing aid; and determining whether the user effectively wears the hearing aid based on the fusion probability. The above scheme can improve the accuracy of the in-ear detection result of the hearing aid.

Description

Technical Field

[0001] This application relates to the field of electronic equipment technology, and in particular to a method and apparatus for detecting hearing aid in-ear insertion, a hearing aid, and a storage medium. Background Technology

[0002] Hearing aids, or assistive hearing devices, are headphone devices that amplify sound. Due to their sound amplification characteristics, they are prone to feedback when the user is not wearing the hearing aid or when the hearing aid is in an open space. Hearing aids can be equipped with corresponding sensors in the headphones to automatically sense whether the headphones are being worn. If there is something to do and you need to pause the playback, you can simply remove one headphone to automatically pause the playback, which can effectively improve the actual usage time and user experience.

[0003] In current technologies, the accuracy of in-ear detection is relatively low because everyone's ear structure is different. Therefore, improving the accuracy of in-ear detection results for hearing aids has become an urgent problem to be solved. Summary of the Invention

[0004] The main technical problem addressed by this application is to provide a method and apparatus for detecting hearing aid in-ear sounds, a hearing aid, and a storage medium.

[0005] To address the aforementioned technical problems, the first aspect of this application provides a hearing aid in-ear detection method, comprising: analyzing sensing signals collected by a detection device on the hearing aid to obtain the wearing probability of the hearing aid in the detection dimension corresponding to the detection device; fusing the wearing probabilities of the hearing aid in the detection dimensions corresponding to each detection device to obtain a fusion probability; wherein the fusion probability represents the likelihood of the user wearing the hearing aid.

[0006] To address the aforementioned technical problems, a second aspect of this application provides a hearing aid, comprising: a housing having a receiving cavity; a plurality of detection devices mounted on the housing, wherein the plurality of detection devices include at least two of a pressure detection device, an optical detection device, a skin contact detection device, and a touch-in-ear detection device; and a processing circuit located in the receiving cavity and electrically connected to each of the detection devices, for performing the hearing aid in-ear detection method of the first aspect described above to determine whether the user is effectively wearing the hearing aid.

[0007] To address the aforementioned technical problems, a third aspect of this application provides a hearing aid in-ear detection device, comprising: an analysis module for analyzing sensing signals collected by the detection device on the hearing aid to obtain the wearing probability of the hearing aid in the detection dimension corresponding to the detection device; a fusion module for fusing the wearing probabilities of the hearing aid in the detection dimensions corresponding to each detection device to obtain a fusion probability; wherein the fusion probability represents the likelihood of the user wearing the hearing aid; and a determination module for determining whether the user is effectively wearing the hearing aid based on the fusion probability.

[0008] To address the aforementioned technical problems, a fourth aspect of this application provides a computer-readable storage medium storing program instructions executable by a processor, the program instructions being used to implement the hearing aid in-ear detection method of the first aspect described above.

[0009] The above scheme incorporates multiple detection devices in the hearing aid. These devices acquire sensor signals from various detection dimensions of the hearing aid. Analysis of these signals yields the probability of hearing aid use in each corresponding detection dimension. These probabilities are then fused to obtain a fused probability representing the likelihood of the user wearing the hearing aid. Finally, the accuracy of hearing aid in-ear detection is improved. By fusing various detection dimensions in this way, a multi-channel detection scheme adaptable to different ear canal structures is formed. The accuracy of hearing aid in-ear detection results is further enhanced by using the fused probability to determine effective hearing aid use. Attached Figure Description

[0010] Figure 1 This is a flowchart illustrating an embodiment of the hearing aid in-ear detection method of this application;

[0011] Figure 2 This is a flowchart illustrating an embodiment of the hearing aid in-ear detection method of this application for obtaining the wearing probability;

[0012] Figure 3 This is an exploded view of the structure of an embodiment of the hearing aid of this application;

[0013] Figure 4 This is a schematic diagram of the framework of an embodiment of the hearing aid pressure detection device of this application;

[0014] Figure 5 This is a schematic diagram of the framework of an embodiment of the optical detection device for hearing aids in this application;

[0015] Figure 6 This is a schematic diagram of the framework of an embodiment of the hearing aid skin contact detection device of this application;

[0016] Figure 7 This is a schematic diagram of the framework of an embodiment of the hearing aid touch-in-ear detection device of this application;

[0017] Figure 8 This is a schematic diagram of the structure of an embodiment of the hearing aid of this application;

[0018] Figure 9 This is a schematic diagram illustrating the wearing of an embodiment of the hearing aid of this application;

[0019] Figure 10 This is a schematic diagram of the framework of an embodiment of the hearing aid in-ear detection device of this application;

[0020] Figure 11 This is a schematic diagram of a framework of an embodiment of the computer-readable storage medium of this application. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0022] In this paper, the terms "system" and "network" are often used interchangeably. The term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship. Furthermore, "many" in this paper means two or more.

[0023] Please see Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the hearing aid in-ear detection method of this application. Specifically, it may include the following steps:

[0024] Step S10: Analyze the sensing signals collected by the detection device on the hearing aid to obtain the wearing probability of the hearing aid in the detection dimension corresponding to the detection device.

[0025] In this embodiment, in-ear detection refers to the hearing aid being equipped with corresponding sensors to automatically sense whether it is being worn. If playback needs to be paused, one earphone can be removed to automatically pause the playback, effectively extending the actual usage time. It also prevents feedback when the user is not wearing the hearing aid or when the hearing aid is in an open space. The hearing aid can be equipped with various types of sensors to expand multi-channel in-ear signal detection. Specifically, it can be any combination of two or more of the following: touch in-ear signal detection, optical in-ear signal detection, skin contact signal detection, and pressure signal detection, thus obtaining efficient and reliable in-ear detection results.

[0026] In one implementation scenario, the sensing signals collected by the detection devices on the hearing aid include touch in-ear sensing signals collected by the touch in-ear detection device, optical in-ear sensing signals collected by the optical in-ear detection device, skin contact sensing signals collected by the skin contact detection device, and pressure sensing signals collected by the pressure detection device. Different sensing signal values ​​represent different probabilities of the user wearing the hearing aid. Analysis based on the sensing signals can yield the wearing probability of the hearing aid in the corresponding detection dimension of the detection device. Through this method, the hearing aid expands multi-channel in-ear signal detection, acquires and analyzes sensing signals, and calculates the wearing probability in different detection dimensions, effectively improving the accuracy of in-ear detection.

[0027] In one implementation scenario, the hearing aid is equipped with a flag indicating whether it is currently being worn. For example, setting the symbol "1" indicates that the user is currently wearing the hearing aid, and setting the symbol "0" indicates that the user is not currently wearing the hearing aid.

[0028] In one implementation scenario, based on the acquired flag bit, a threshold value for reversing the flag position can be determined. This threshold value can be either a trigger activation threshold or a trigger failure threshold. Specifically, the trigger activation threshold is the minimum sensing signal value represented by the hearing aid flag bit when the hearing aid is worn, and the trigger failure threshold is the maximum sensing signal value represented by the hearing aid flag bit when the hearing aid is not worn. For example, in this application, a larger sensing signal value indicates a higher probability that the user is wearing the hearing aid. The trigger activation threshold can include the minimum sensing signal value representing wear when the hearing aid is touched in the ear, the minimum sensing signal value representing wear when the hearing aid is optically in the ear, the minimum sensing signal value representing wear when the hearing aid is skin contact, the minimum sensing signal value representing wear when the hearing aid is pressure detected, etc. The trigger failure threshold can include the maximum sensing signal value representing not wearing when the hearing aid is touched in the ear, the maximum sensing signal value representing not wearing when the hearing aid is optically in the ear, the maximum sensing signal value representing not wearing when the hearing aid is skin contact, and the maximum sensing signal value representing not wearing when the hearing aid is pressure detected. By setting a flag to represent the user's current hearing aid wearing status in the above way, and combining the relationship between the sensing signal obtained by the detection device and the threshold, the computational power required to calculate the probability of hearing aid wearing can be reduced.

[0029] In one implementation scenario, in response to the detection device continuously sensing signals of a preset value all satisfying a preset magnitude relationship with a threshold, a flag is inverted. This improves the accuracy of the inverted flag in indicating whether the user is wearing a hearing aid. Specifically, when the user is not wearing the hearing aid, the threshold is the trigger activation threshold, and the preset magnitude relationship is that the sensing signal is not less than the trigger activation threshold. When the user is wearing the hearing aid, the threshold is the trigger failure threshold, and the preset magnitude relationship is that the sensing signal is not greater than the trigger failure threshold. A calculation strategy based on the inverted flag is used to determine the probability of hearing aid wearing in the corresponding detection dimension of the detection device. This method avoids large errors in the calculated wearing probability caused by interference in the collected sensing signals, thus improving the accuracy of hearing aid in-ear detection results.

[0030] In a specific implementation scenario, the flag bit indicates the hearing aid is not worn, and the threshold value is the trigger activation threshold. The preset size relationship is that the sensed signal is greater than the trigger activation threshold. In response to the detection device continuously sending a preset number of sensed signals that are not less than the trigger activation threshold, the flag bit is inverted, and the current flag bit indicates wearing. At this time, the calculation strategy to determine the probability of hearing aid wearing is to calculate the average value of the consecutive preset number of sensed signals, and obtain the ratio between the average value and the maximum theoretical value of the sensed signal collected by the detection device to obtain the wearing probability. For example, if the sensed signal collected by the optical detection device is set to a trigger activation threshold of 5, the preset value is 10, and the maximum theoretical value is 10, and the collected 10 consecutive sensed signal values ​​are 6, 9, 8, 5, 7, 8, 6, 7, 7, 8, all of which are not less than the trigger activation threshold, the calculated hearing aid wearing probability is 0.71.

[0031] In another specific implementation scenario, the flag bit indicates the hearing aid is being worn, and the threshold is the trigger failure threshold. The preset value relationship is that the sensed signal is not greater than the trigger failure threshold. In response to the detection device continuously detecting signals of a preset value that are not greater than the trigger failure threshold, the flag bit is inverted, and the current flag bit indicates that the hearing aid is not being worn. In this case, the calculation strategy to determine the hearing aid wearing probability is to directly set the hearing aid wearing probability to the preset value, and the preset value is not greater than any wearing probability obtained when the flag bit is inverted. Specifically, the preset value can be directly set to 0, or it can be set to an extremely small value such as 0.0001. For example, if the sensed signal collected by the pressure detection device is acquired, the trigger failure threshold is set to 5, the preset value is 10, and the preset value is 0, and the collected 10 consecutive sensed signal values ​​are 3, 1, 1, 1, 2, 1, 4, 2, 1, 1, none of which are greater than the trigger failure threshold, the hearing aid wearing probability is directly set to 0.

[0032] Step S20: Based on the wearing probability of the hearing aid in each detection dimension corresponding to each detection device, the fusion probability is obtained.

[0033] In this embodiment, the sensing signals corresponding to the detection dimensions of each detection device are acquired and analyzed to obtain the wearing probability of the hearing aid in each detection dimension. These wearing probabilities are then fused to obtain a fused probability, which can be used to characterize the likelihood of a user wearing a hearing aid. By analyzing and calculating the wearing probability of each detection device and fusing the obtained probabilities, a fused probability representing the likelihood of a user wearing a hearing aid is obtained. This fusion processing yields efficient and reliable in-ear detection results, thus improving the accuracy of hearing aid in-ear detection results.

[0034] In one implementation scenario, the wearing probability of each detection device for its corresponding detection dimension can be weighted using the weighting coefficients of each detection device to obtain the fusion probability. For example, a hearing aid includes a pressure detection device, an optical detection device, a skin contact detection device, and a touch-in-ear detection device. The weighting coefficients for the detection dimensions corresponding to the pressure detection device, optical detection device, skin contact detection device, and touch-in-ear detection device are a1, a2, a3, and a4, respectively. The wearing probabilities for the detection dimensions corresponding to the pressure detection device, optical detection device, skin contact detection device, and touch-in-ear detection device are P1, P2, P3, and P4, respectively. The fusion probability is (a1*P1)+(a2*P2)+(a3*P3)+(a4*P4).

[0035] Step S30: Based on the fusion probability, determine whether the user is effectively wearing the hearing aid.

[0036] In this embodiment, the fusion probability can determine whether a user is effectively wearing a hearing aid. Specifically, a fusion probability threshold can be set. If the fusion probability is greater than the threshold, the user is considered to be effectively wearing a hearing aid; if the fusion probability is not greater than the threshold, the user is considered not to be wearing a hearing aid. Through the above method, multiple in-ear detection methods, such as pressure detection, optical detection, skin contact detection, and touch-in-ear detection, are fused together. In scenarios with different user ear canal structures, appropriate algorithms are designed to combine structural characteristics to form a multi-channel detection scheme. Based on the fusion probability, the accuracy of hearing aid in-ear detection results can be improved.

[0037] In one implementation scenario, the initial weighting coefficients are balanced, but adaptive learning optimization can be performed based on different users. Each time a user successfully wears the device, the weighting coefficients are adjusted according to the probability of different channels. Since the signal strength detected by different people varies across different detection devices, the calculated wearing probability differs across devices. Therefore, the weighting coefficients are adjusted based on the fusion probability. When the wearing probability of a certain detection device is significantly lower than that of others, its weighting coefficient is lowered; conversely, when the wearing probability of a certain detection device is significantly higher than that of others, its weighting coefficient is increased. This ensures that the fusion probability calculated in the forward calculation is more accurate and timely.

[0038] In a specific implementation scenario, after determining whether the user is effectively wearing the hearing aid based on the fusion probability, in response to determining that the user is effectively wearing the hearing aid, the sum of each wearing probability is obtained, and the ratio of the wearing probability to the sum of the detection dimension corresponding to the detection device is updated to the weighting coefficient of the detection dimension corresponding to the detection device. For example, a hearing aid includes a pressure detection device, an optical detection device, a skin contact detection device, and a touch-in-ear detection device. Based on the fusion probability, it is determined whether the user is effectively wearing the hearing aid. In this case, the wearing probabilities for the corresponding detection dimensions of the pressure detection device, optical detection device, skin contact detection device, and touch-in-ear detection device are P1, P2, P3, and P4, respectively. The weighting coefficient a1 for the pressure detection device can be adjusted to P1 / (P1+P2+P3+P4), the weighting coefficient a2 for the optical detection device can be adjusted to P2 / (P1+P2+P3+P4), the weighting coefficient a3 for the skin contact detection device can be adjusted to P3 / (P1+P2+P3+P4), and the weighting coefficient a4 for the touch-in-ear detection device can be adjusted to P4 / (P1+P2+P3+P4). Through this method, the weighting coefficients undergo adaptive learning optimization based on different users, improving the accuracy of the fusion probability calculation. Based on the fusion probability, it is determined whether the user is effectively wearing the hearing aid, thus improving the accuracy of the hearing aid in-ear detection results.

[0039] The above scheme incorporates multiple detection devices in the hearing aid. These devices acquire sensor signals from various detection dimensions of the hearing aid. Analysis of these signals yields the probability of hearing aid use in each corresponding detection dimension. These probabilities are then fused to obtain a fused probability representing the likelihood of the user wearing the hearing aid. Finally, the accuracy of hearing aid in-ear detection is improved. By fusing various detection dimensions in this way, a multi-channel detection scheme adaptable to different ear canal structures is formed. The accuracy of hearing aid in-ear detection results is further enhanced by using the fused probability to determine effective hearing aid use.

[0040] Please see Figure 2 , Figure 2 This is a schematic flowchart illustrating an embodiment of the hearing aid in-ear detection method for obtaining the wearing probability according to this application. Specifically, it may include the following steps:

[0041] S110: Obtain the flag indicating whether the hearing aid is being worn.

[0042] For details, please refer to the relevant descriptions in the aforementioned disclosed embodiments, which will not be repeated here.

[0043] S112: Determine whether the flag indicates that the item is being worn.

[0044] If not, proceed to step S121; otherwise, proceed to step S122. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0045] S121: Threshold threshold is the threshold for triggering activation.

[0046] In response to the flag indicating that the device is not worn, the threshold value is the trigger threshold. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0047] S131: Determine whether there are consecutive preset number of sensing signals that are not less than the trigger threshold.

[0048] If not, proceed to step S120; otherwise, proceed to step S132. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0049] S132: Reverse the flag position; the flag position indicates whether it is worn.

[0050] In response to a consecutive preset number of sensing signals not falling below the trigger threshold, a flag is inverted, indicating that the device is being worn. For details, please refer to the relevant descriptions in the foregoing embodiments; they will not be repeated here.

[0051] S133: Calculate the average value of a series of preset number of sensing signals.

[0052] For details, please refer to the relevant descriptions in the aforementioned disclosed embodiments, which will not be repeated here.

[0053] S134: Obtain the ratio between the average value and the theoretical maximum value of the sensing signal collected by the detection device to obtain the wearing probability.

[0054] For details, please refer to the relevant descriptions in the aforementioned disclosed embodiments, which will not be repeated here.

[0055] S122: Threshold threshold is the threshold for triggering failure.

[0056] In response to the flag indicating wearing, the threshold is the trigger failure threshold. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0057] S141: Determine if there are a number of consecutive sensing signals that are not greater than the trigger failure threshold.

[0058] If not, proceed to step S120; otherwise, proceed to step S142. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0059] S142: Reverse the flag position; the flag position indicates that it is not worn.

[0060] In response to a consecutive number of sensing signals not exceeding the trigger failure threshold, a flag is inverted, indicating that the device is not being worn. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0061] S143: Set the probability of wearing the hearing aid directly to the preset value.

[0062] For details, please refer to the relevant descriptions in the aforementioned disclosed embodiments, which will not be repeated here.

[0063] S120: Obtain the flag indicating whether the hearing aid is being worn at the next moment.

[0064] In response to a flag indicating that the hearing aid is not worn and there are no consecutive preset numerical values ​​of sensing signals not less than the trigger threshold, or in response to a flag indicating that the hearing aid is worn and there are no consecutive preset numerical values ​​of sensing signals not greater than the trigger threshold, or after obtaining the wearing probability by comparing the average value with the maximum theoretical value of the sensing signals collected by the detection device, or after directly setting the hearing aid wearing probability to a preset value, a flag indicating whether the hearing aid is worn at the next moment is obtained. For details, please refer to the relevant descriptions in the foregoing disclosed embodiments, which will not be repeated here.

[0065] The above scheme incorporates multiple detection devices in the hearing aid. These devices acquire sensor signals from various detection dimensions of the hearing aid. Analysis of these signals yields the probability of hearing aid use in each corresponding detection dimension. These probabilities are then fused to obtain a fused probability representing the likelihood of the user wearing the hearing aid. Finally, the accuracy of hearing aid in-ear detection is improved. By fusing various detection dimensions in this way, a multi-channel detection scheme adaptable to different ear canal structures is formed. The accuracy of hearing aid in-ear detection results is further enhanced by using the fused probability to determine effective hearing aid use.

[0066] Please see Figure 3 , Figure 3 This is an exploded view of the structure of an embodiment of the hearing aid 10 of this application. Figure 3 As shown, the hearing aid 10 includes a housing 110, multiple detection devices 20, and a processing circuit 30. The multiple detection devices 20 are carried on the housing 110, and the housing 110 can be enclosed to form a receiving cavity. The receiving cavity is provided with a processing circuit 30 that is electrically connected to each of the detection devices 20. The processing circuit 30 can determine whether the user is effectively wearing the hearing aid 10 by using the sensing signals collected by the detection devices 20.

[0067] In this embodiment of the disclosure, the plurality of detection devices 20 include at least two of pressure detection device 210, optical detection device 220, skin contact detection device 230 and touch in-ear detection device 240. Various detection dimensions are fused and processed to allow the various detection dimensions to permeate each other to form a multi-channel detection scheme adapted to different ear canal structures. Then, based on the fusion probability, it is determined whether the user is effectively wearing the hearing aid 10, thus improving the accuracy of the hearing aid in-ear detection results.

[0068] Please see Figure 4 , Figure 4 This is a schematic diagram of the framework of an embodiment of the pressure detection device 210 in the hearing aid 10 of this application. Figure 4 As shown, in one implementation scenario, the pressure detection device 210 includes a pressure detection module 211 and a pressure detection element 212 electrically connected to each other. The pressure detection module 211 includes a pressure sensor 2111 and a signal detection circuit 2112 electrically connected to each other. The pressure detection element 212 and the pressure sensor 2111 are electrically connected. The pressure detection element 212, exposed to the housing 110, can collect the sensing signal of the hearing aid 10. The pressure detection element 212 sends the sensing signal to the pressure sensor 2111. The pressure sensor 2111 converts the sensing signal into a pressure value and sends the pressure value to the signal detection circuit 2112. The signal detection circuit 2112 judges the received pressure value. If the pressure value is less than a preset value, the processing circuit 30 determines that the user is not wearing the hearing aid 10, and sends a first control command to the hearing aid 10 to control the hearing aid 10 to pause audio playback. If the pressure value is not less than the preset value, the processing circuit 30 determines that the user is effectively wearing the hearing aid 10, and sends a second control command to the hearing aid 10 to control the hearing aid 10 to continue audio playback. This enables in-ear detection of the hearing aid 10, intelligent control of pausing or resuming audio playback of the hearing aid 10, avoids unnecessary power consumption when the user is not wearing the hearing aid 10, and reduces the possibility of feedback from the hearing aid 10.

[0069] Please see Figure 5 , Figure 5 This is a schematic diagram of the framework of an embodiment of the optical detection device 220 for the hearing aid 10 of this application. Figure 5As shown, in one implementation scenario, the optical detection device 220 includes an optical detection module 221 and an optical detection element 222 electrically connected to each other. The optical detection module 221 includes a photosensitive circuit 2211, a signal detection circuit 2112, and an infrared emitting circuit 2213 connected in sequence. The optical detection element 222 and the photosensitive circuit 2211 are electrically connected. The optical detection element 222, exposed to the housing 110, collects the sensing signal and sends the sensing signal to the photosensitive circuit 2211. The photosensitive circuit 2211 converts the sensing signal into a light signal value and transmits the light signal... The numerical value is sent to the signal detection circuit 2112, which drives the infrared light-emitting circuit 2213 to emit an infrared beam. The distance between the hearing aid 10 and the user's ear is detected by the time difference between the emission and reception of the infrared beam. The system automatically senses whether the hearing aid 10 is being worn. If the playback needs to be paused for some reason, the user can simply remove one hearing aid 10, which will automatically pause the playback. This effectively increases the actual usage time and reduces the possibility of feedback from the hearing aid 10.

[0070] Please see Figure 6 , Figure 6 This is a schematic diagram of the framework of an embodiment of the skin contact detection device 230 for the hearing aid 10 of this application. Figure 6 As shown, in one implementation scenario, the skin contact detection device 230 includes a skin contact detection module 231 and a skin contact detection element 232 electrically connected to each other. The skin contact detection module 231 includes a dual-channel photosensitive circuit 2311, a signal detection circuit 2112, and a light-emitting circuit 2313 connected in sequence. The skin contact detection element 232 is electrically connected to the dual-channel photosensitive circuit 2311. The skin contact detection element 232, installed on the housing 110, collects sensing signals and sends the sensing signals to the dual-channel photosensitive circuit 2311. The dual-channel photosensitive circuit 2311 converts the sensing signals into light signal values ​​and sends the light signal values ​​to the signal detection circuit 2112. The signal detection circuit 2112 drives the red light (not shown) and infrared light (not shown) in the light-emitting circuit 2313 to emit light beams based on the light signal values. Based on PPG (infrared non-destructive testing technology), it detects the difference in the intensity of reflected light after absorption by human blood and tissue, automatically sensing whether the hearing aid 10 is being worn. This can effectively increase the actual usage time and reduce the possibility of the hearing aid 10 whistling.

[0071] Please see Figure 7 , Figure 7 This is a schematic diagram of the framework of an embodiment of the hearing aid 10 touch-in-ear detection device 240 of this application. Figure 7As shown, in one implementation scenario, the touch in-ear detection device 240 includes a touch in-ear detection module 241 and a touch in-ear detection element 242 electrically connected to each other. The touch in-ear detection module 241 includes an electrode 2411 and a signal detection circuit 2112 electrically connected to each other. The touch in-ear detection element 242 and the electrode 2411 are electrically connected. The touch in-ear detection element 242, which is installed in the housing 110, collects sensing signals and sends the sensing signals to the electrode 2411. The electrode 2411 converts the sensing signals into changes in charge level and sends the changes in charge level to the signal detection circuit 2112. The user's action of removing or putting on the hearing aid 10 is used to determine the state of the hearing aid 10 in the ear, thereby reducing the power consumption of the hearing aid 10 and extending the battery life.

[0072] Please refer to the following: Figure 8 and Figure 9 , Figure 8 This is a schematic diagram of the structure of an embodiment of the hearing aid 10 of this application. Figure 9 This is a schematic diagram illustrating the wearing of an embodiment of the hearing aid 10 of this application. Figure 8 and Figure 9 As shown, pressure detection element 212, optical detection element 222, skin contact detection element 232, and touch in-ear detection element 242 are installed exposed on the housing 110. Pressure detection element 212 is installed near the helix M3 region of the auricle, which is close to the cartilage surrounding the ear. Optical detection element 222 is installed near the concha M2 region of the ear, which has the largest contact surface with the ear. Skin contact detection element 232 is installed near the tragus M1 region of the ear, which has better blood perfusion. Touch in-ear detection element 242 is exposed on the housing 110 and installed near the concha M2 region of the ear. Through the above method, and after multi-sensor detection fusion processing, the wearing behavior can be accurately identified and the hearing aid function can be switched on and off in a timely manner.

[0073] In the above scheme, the hearing aid 10 is equipped with multiple detection devices 20. Each detection device 20 can acquire sensing signals from multiple detection dimensions of the hearing aid 10. Based on the analysis of the acquired sensing signals, the wearing probability of the hearing aid 10 in each corresponding detection dimension of the detection device 20 can be obtained. These wearing probabilities are then fused to obtain a fused probability representing the likelihood of the user wearing the hearing aid 10. Finally, based on the fused probability, it is determined whether the user is effectively wearing the hearing aid 10. By fusing various detection dimensions in this way, a multi-channel detection scheme adapted to different ear canal structures is formed, and the accuracy of hearing aid in-ear detection results is improved.

[0074] Please see Figure 10 , Figure 10 This is a schematic diagram of the framework of an embodiment of the hearing aid in-ear detection device 40 of this application. Figure 10As shown, the hearing aid in-ear detection device 40 includes an analysis module 41, a fusion module 42, and a determination module 43 connected in sequence. The analysis module 41 is used to analyze the sensing signals collected by the detection device 20 on the hearing aid 10 to obtain the wearing probability of the hearing aid 10 in the detection dimension corresponding to the detection device 20. The fusion module 42 is used to fuse the wearing probabilities of the hearing aid 10 in the detection dimensions corresponding to each detection device 20 to obtain the fusion probability. The fusion probability represents the likelihood of the user wearing the hearing aid 10. The determination module 43 is used to determine whether the user is effectively wearing the hearing aid 10 based on the fusion probability.

[0075] In the above scheme, the hearing aid 10 is equipped with multiple detection devices 20. Each detection device 20 can acquire sensing signals from multiple detection dimensions of the hearing aid 10. Based on the analysis of the acquired sensing signals, the wearing probability of the hearing aid 10 in each corresponding detection dimension of the detection device 20 can be obtained. These wearing probabilities are then fused to obtain a fused probability representing the likelihood of the user wearing the hearing aid 10. Finally, based on the fused probability, it is determined whether the user is effectively wearing the hearing aid 10. By fusing various detection dimensions in this way, a multi-channel detection scheme adapted to different ear canal structures is formed, and the accuracy of hearing aid in-ear detection results is improved.

[0076] In some disclosed embodiments, the hearing aid in-ear detection device 40 further includes a flag analysis module, used to determine a threshold value when the flag position is reversed based on the flag value representing whether the hearing aid 10 is worn. The hearing aid in-ear detection device 40 also includes a wearing probability calculation module, used to reverse the flag value in response to the detection device 20 continuously sensing signals of a preset value satisfying a preset size relationship with the threshold value, and to determine the wearing probability of the hearing aid 10 based on a calculation strategy that matches the reversed flag value.

[0077] Therefore, based on the flag bit, it is determined whether the user is wearing the hearing aid 10, and the wearing probability of the hearing aid 10 is determined according to the preset relationship between the consecutive preset values ​​of the sensing signals and the threshold. This avoids the scenario where the collected sensing signals are interfered with and cause large errors, thus improving the accuracy of the hearing aid in-ear detection results.

[0078] In some disclosed embodiments, the hearing aid in-ear detection device 40 further includes a wearing calculation submodule, which is used to calculate the average value of a series of preset number of sensing signals and obtain the ratio between the average value and the theoretical value of the maximum sensing signal collected by the detection device 20 to obtain the wearing probability.

[0079] Therefore, based on the collected sensing signals, the probability of a user wearing a hearing aid 10 when the marker position is reversed can be calculated, thereby improving the accuracy of hearing aid in-ear detection results.

[0080] In some disclosed embodiments, the hearing aid in-ear detection device 40 further includes an unworn calculation submodule, which is used to directly set the wearing probability of the hearing aid 10 to a preset value; wherein the preset value is not greater than the arbitrary wearing probability obtained under the condition of wearing the flag position.

[0081] Therefore, based on the collected sensing signals, the probability of wearing a hearing aid when the user is not wearing it can be calculated by the reverse position of the marker, thereby improving the accuracy of hearing aid in-ear detection results.

[0082] In some disclosed embodiments, the hearing aid in-ear detection device 40 further includes a weighted calculation module, which is used to weight the wearing probability of each detection device 20 according to the weighting coefficient of the detection dimension corresponding to each detection device 20 to obtain the fusion probability. The hearing aid in-ear detection device 40 also includes a weighting coefficient update module, which is used to obtain the sum of each wearing probability in response to determining that the user is effectively wearing the hearing aid 10, and update the ratio of the wearing probability of the detection dimension corresponding to the detection device 20 to the sum of the values ​​to the weighting coefficient of the detection dimension corresponding to the detection device 20.

[0083] Therefore, by integrating various detection dimensions and allowing them to permeate each other to form a multi-channel detection scheme adapted to different ear canal structures, and then determining whether the user is effectively wearing a hearing aid based on the fusion probability, the accuracy of hearing aid in-ear detection results can be improved.

[0084] Please see Figure 11 , Figure 11 This is a schematic diagram of a framework of an embodiment of the computer-readable storage medium 50 of this application. The computer-readable storage medium 50 stores program instructions 51 that can be executed by a processor. The program instructions 51 are used to implement the steps in any of the above embodiments of the hearing aid in-ear detection method.

[0085] In some embodiments, the functions or modules of the apparatus provided in this disclosure can be used to perform the methods described in the above method embodiments. The specific implementation can be referred to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0086] The description of the various embodiments above tends to emphasize the differences between the various embodiments. The similarities or similarities between them can be referred to, and for the sake of brevity, they will not be repeated here.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed methods and apparatus can be implemented in other ways. For example, the apparatus implementations described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0088] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0089] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0090] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for detecting hearing aid insertion into the ear, characterized in that, include: The probability of wearing the hearing aid is obtained by analyzing the sensing signals collected by the detection device on the hearing aid in the detection dimension corresponding to the detection device; wherein, the sensing signals include at least two of pressure sensing signals, optical in-ear sensing signals, skin contact sensing signals, and touch in-ear sensing signals. Based on the weighting coefficients of the detection dimensions corresponding to each of the detection devices, the wearing probability of each detection dimension corresponding to each of the detection devices is weighted to obtain the fusion probability; wherein, the fusion probability represents the likelihood of the user wearing the hearing aid. Based on the fusion probability, it is determined whether the user is effectively wearing the hearing aid; The method further includes, after determining whether the user is effectively wearing the hearing aid based on the fusion probability: In response to determining that the user is effectively wearing the hearing aid, the sum of each wearing probability is obtained, and the ratio of the wearing probability of the detection dimension corresponding to the detection device to the sum is updated as the weighting coefficient of the detection dimension corresponding to the detection device.

2. The method according to claim 1, characterized in that, The analysis of the sensing signals collected by the detection device on the hearing aid to obtain the wearing probability of the hearing aid in the detection dimension corresponding to the detection device includes: Based on the flag indicating whether the hearing aid is being worn, a threshold value is determined when the flag position is reversed. In response to the detection device continuously sensing signals of a preset value all satisfying a preset size relationship with the threshold, the flag bit is reversed, and the wearing probability of the hearing aid is determined based on a calculation strategy that matches the reversed flag bit.

3. The method according to claim 2, characterized in that, When the flag indicates that the hearing aid is not worn, the threshold value is the trigger activation threshold, the preset size relationship is that the sensed signal is not less than the trigger activation threshold, and the determination of the hearing aid wearing probability based on the calculation strategy matching the inverted flag value includes: Calculate the average value of the consecutive preset number of sensing signals; The wearing probability is obtained by comparing the average value with the theoretical maximum value of the sensing signal collected by the detection device.

4. The method according to claim 2, characterized in that, When the flag bit indicates wearing, the threshold is a trigger failure threshold, the preset size relationship is that the sensed signal is not greater than the trigger failure threshold, and the determination of the hearing aid wearing probability based on the calculation strategy matching the inverted flag bit includes: The wearing probability of the hearing aid is directly set to a preset value; wherein the preset value is not greater than any wearing probability obtained under the condition that the flag position is reversed.

5. A hearing aid, characterized in that, include: The shell has a accommodating cavity; Multiple detection devices are supported on the housing, and the multiple detection devices include at least two of a pressure detection device, an optical detection device, a skin contact detection device, and a touch-in-ear detection device; The processing circuit, located in the accommodating cavity and electrically connected to each of the detection devices, is used to execute the hearing aid in-ear detection method according to any one of claims 1 to 4 to determine whether the user is effectively wearing the hearing aid.

6. The hearing aid according to claim 5, characterized in that, The pressure detection device includes a pressure detection module and a pressure detection element electrically connected to each other. The pressure detection module includes a pressure sensor and a signal detection circuit electrically connected to each other. The pressure detection element and the pressure sensor are electrically connected. The pressure detection element is exposed in the housing and installed near the helix region of the human ear.

7. The hearing aid according to claim 5, characterized in that, The optical detection device includes an optical detection module and an optical detection element electrically connected to each other. The optical detection module includes a photosensitive circuit, a signal detection circuit, and an infrared light-emitting circuit connected in sequence. The optical detection element and the photosensitive circuit are electrically connected. The optical detection element is exposed in the housing and installed close to the concha of the human ear.

8. The hearing aid according to claim 5, characterized in that, The skin contact detection device includes a skin contact detection module and a skin contact detection element electrically connected to each other. The skin contact detection module includes a dual-channel photosensitive circuit, a signal detection circuit, and a light-emitting circuit connected in sequence. The skin contact detection element is electrically connected to the dual-channel photosensitive circuit. The skin contact detection element is exposed in the housing and installed close to the tragus region of the human ear.

9. The hearing aid according to claim 5, characterized in that, The touch-in-ear detection device includes a touch-in-ear detection module and a touch-in-ear detection element electrically connected to each other. The touch-in-ear detection module includes electrodes and a signal detection circuit electrically connected to each other. The touch-in-ear detection element is electrically connected to the electrodes. The touch-in-ear detection element is exposed in the housing and installed close to the concha region of the human ear.

10. A hearing aid in-ear detection device, characterized in that, include: An analysis module is used to analyze the sensing signals collected by the detection device on the hearing aid to obtain the wearing probability of the hearing aid in the detection dimension corresponding to the detection device; wherein, the sensing signals include at least two of pressure sensing signals, optical in-ear sensing signals, skin contact sensing signals, and touch in-ear sensing signals. The fusion module is used to weight the wearing probability of each detection device for each detection dimension based on the weighting coefficients of the detection dimensions corresponding to each detection device, so as to obtain the fusion probability; wherein, the fusion probability represents the probability that the user wears the hearing aid. The determination module is used to determine, based on the fusion probability, whether the user is effectively wearing the hearing aid. The weighted coefficient update module is used to, in response to determining that the user is effectively wearing the hearing aid, obtain the sum of each wearing probability, and update the ratio of the wearing probability of the detection dimension corresponding to the detection device to the sum to the weighted coefficient of the detection dimension corresponding to the detection device.

11. A computer-readable storage medium, characterized in that, The device contains a computer program that can be executed by a processor to implement the hearing aid in-ear detection method according to any one of claims 1 to 4.

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