Wake-up system and method based on intelligent sound box

Abstract

The invention relates to the technical field of sound equipment awakening, and particularly discloses an awakening system and method based on intelligent sound equipment, and the method comprises the following steps: 1, obtaining a target wireless equipment distance reflecting the distance between a user and the intelligent sound equipment through detecting the signal intensity of target wireless equipment worn by the user; 2, based on the target wireless equipment distance, presetting a first distance threshold and a second distance threshold so as to evaluate the relative position relation between the user and the intelligent sound equipment, and determining the working state of the intelligent sound equipment according to the relative position relation; according to the method, the user experience is improved, the diversity of the moving state of the user and the environmental difference are deeply considered, the setting of the second distance threshold value is optimized through historical data analysis, and it is ensured that the intelligent sound box can be awakened in time when the user approaches.

Description

Technical Field

[0001] The present invention relates to the technical field of audio wake-up, and in particular to a wake-up system and method based on intelligent audio. Background Art

[0002] With the rapid development of smart home technology, smart speakers have become an indispensable part of family life. However, the wake-up mechanisms of existing smart speakers are mostly limited to fixed voice commands or pre-set wake-up scenarios, lacking keen insight into and flexible response to dynamic changes in user spatial positions. Specifically, when the distance between the user and the smart speaker exceeds its preset sensitive range (i.e., the second distance threshold), the speaker cannot respond immediately, and the user often needs to wait for a period of time until the speaker is awakened from sleep, thus affecting the user experience. Therefore, it is necessary to introduce the concept of the second distance threshold, which aims to optimize the wake-up logic of the smart speaker through more refined distance perception, so as to serve the actual needs of users more intimately. Summary of the invention

[0003] The object of the present invention is to provide a wake-up system and method based on smart speakers to solve at least one of the above-mentioned problems in the prior art.

[0004] In a first aspect, the present invention provides a wake-up method based on a smart speaker, comprising the following steps: Step 1: Detect the signal strength of the target wireless device worn by the user to obtain the target wireless device distance reflecting the distance between the user and the smart speaker; Step 2: Based on the distance of the target wireless device, a first distance threshold and a second distance threshold are preset to evaluate the relative position relationship between the user and the smart speaker, and determine the working state of the smart speaker accordingly; The setting process of the second distance threshold is as follows: A threshold analysis point is preset, and the time required for the user to get from the threshold analysis point to the first distance threshold is extracted to obtain the user's walking time. The user's walking time is compared and analyzed with the smart speaker wake-up time. If the user's walking time is equal to the smart speaker wake-up time, the user's walking time is marked as the wake-up preparation threshold time, and the threshold analysis point is marked as the second distance threshold point, and the distance from the second distance threshold point to the smart speaker is set as the second distance threshold.

[0005] In a second aspect, the present invention provides a wake-up system based on an intelligent speaker, the system comprising: Distance detection module: by detecting the signal strength of the target wireless device worn by the user, the distance of the target wireless device reflecting the distance between the user and the smart speaker is obtained; State control module: based on the distance of the target wireless device, presets a first distance threshold and a second distance threshold, thereby evaluating the relative position relationship between the user and the smart speaker, and accordingly determines the working state of the smart speaker; Second distance threshold setting submodule: preset threshold analysis points, and extract the time required for the user to get from the threshold analysis point to the first distance threshold, obtain the user's walking time, compare and analyze the user's walking time with the smart speaker wake-up time. If the user's walking time is equal to the smart speaker wake-up time, the user's walking time is marked as the wake-up preparation threshold time, and the threshold analysis point is marked as the second distance threshold point, and the distance from the second distance threshold point to the smart speaker is set as the second distance threshold.

[0006] Beneficial effects of the present invention: The present invention monitors the signal strength between the target wireless device worn by the user and the smart speaker in real time, intelligently evaluates the relative position relationship between the user and the smart speaker, and dynamically adjusts the working state of the smart speaker accordingly, which not only improves the user experience, but also deeply considers the diversity of user mobility and environmental differences, and optimizes the setting of the second distance threshold through historical data analysis to ensure that the smart speaker can be awakened in time when the user approaches. In particular, for path areas frequently walked by users, the present invention adopts refined path analysis and speed stability evaluation to estimate and set a more accurate awakening preparation threshold time, further enhancing the timeliness and accuracy of the smart speaker response. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 is a flow chart of a wake-up method based on a smart speaker provided in Embodiment 1 of the present invention; Figure 2 is a structural diagram of a wake-up system based on an intelligent speaker provided in Embodiment 2 of the present invention; Figure 3 It is a structural diagram of a wake-up device based on a smart speaker provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0009] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0010] Embodiment 1 Figure 1 A flowchart of a smart speaker-based wake-up method provided in Embodiment 1 of the present invention. The embodiment of the present invention can be applied to a smart speaker-based wake-up situation. The smart speaker-based wake-up method can be executed by a smart speaker-based wake-up system. The smart speaker-based wake-up system can be implemented by software and / or hardware. The smart speaker-based wake-up system can be configured in a smart speaker-based wake-up device. Optionally, a smart speaker-based wake-up device can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc., and the embodiment of the present invention does not limit this.

[0011] An embodiment of the present invention provides a smart speaker based wake-up method, which specifically includes the following steps: Step 1: Detect the signal strength of the target wireless device worn by the user to obtain the target wireless device distance reflecting the distance between the user and the smart speaker; In some embodiments, based on the signal strength detection period, the signal strength of the current target wireless device is extracted through the target wireless device currently worn by the user and marked as a signal strength value; It should be explained that the signal strength detection period can be: 1 second, 2 seconds; the target wireless device includes but is not limited to: wireless headphones; By formula: , calculate and obtain the distance d of the target wireless device, where RSSI is the signal strength value, abs() is the absolute value function, A is the signal strength threshold, and n is the environmental attenuation factor; It should be explained that RSSI is related to the received power, and the unit is dBm. It is generally a negative value, which reflects the attenuation of the signal. In an ideal state, there is no attenuation, RSSI = 0dBm, but in reality, even if the target wireless device is very close, the RSSI is only -50dBm. During the transmission process, there is attenuation, and different RSSI values ​​can be obtained. The relative distance can be calculated according to the conversion formula; the formula is: , where d is the distance of the target wireless device, RSSI is the signal strength value, abs() is the absolute value function, A is the signal strength threshold (the signal strength threshold is the signal strength when the smart speaker and the target wireless device are one meter apart), and n is the environmental attenuation factor. Due to different environments, the corresponding parameter values ​​of the target wireless device are different. Therefore, when the smart speaker is connected to different target wireless devices, each parameter in the formula needs to be calibrated according to actual needs to determine the environmental attenuation factor; Step 2: Based on the distance of the target wireless device, a first distance threshold and a second distance threshold are preset to evaluate the relative position relationship between the user and the smart speaker, and determine the working state of the smart speaker accordingly; Preset a first distance threshold and a second distance threshold, and compare and analyze the distance of the target wireless device with the first distance threshold and the second distance threshold respectively; If the distance of the target wireless device is less than or equal to the first distance threshold, it means that the distance between the target wireless device and the smart speaker is relatively close, then a wake-up signal is generated, and the smart speaker is woken up, that is, the smart speaker is switched from the screen saver mode to the working mode, so that the user can perform relevant operations based on the display interface of the smart speaker; If the distance of the target wireless device is respectively greater than the first distance threshold, and the distance of the target wireless device is less than or equal to the second distance threshold, it means that the distance between the target wireless device and the smart speaker is moderate, then the user's current movement state is analyzed, and based on the analysis result, a wake-up signal or a sleep signal is generated; If the distance between the target wireless device and the smart speaker is greater than the second distance threshold, indicating that the distance between the target wireless device and the smart speaker is far, a sleep signal is generated, and the smart speaker is switched from the working mode to the screen saver mode; First, specifically, the process of analyzing the current movement state of the user and generating a wake-up signal or a sleep signal based on the analysis result is: Based on the temporal sequence of the signal strength detection cycles within the historical target time period, the target wireless device distances obtained in each signal strength detection cycle are sorted; If the value of the distance of the target wireless device after sorting is in a decreasing state, it is determined that the current user's moving state is a close state, that is, a wake-up signal is generated; If the value of the distance of the target wireless device after sorting is in an increasing state, it is determined that the current user's moving state is a far away state, that is, a sleep signal is generated; It should be explained that the historical target period includes multiple signal strength detection cycles, and the historical target period can be 5 seconds or 10 seconds; Second, specifically, the process of setting the second distance threshold is: It should be explained that the setting of the second distance threshold should take into account the time required for the user to walk from the threshold to the first distance threshold, so as to ensure that the smart speaker is awakened before the user reaches a closer distance (the first distance threshold), thereby improving the user experience and avoiding the need for the user to wait for the smart speaker to wake up when approaching it; Based on the smart speaker as the origin, a three-dimensional coordinate system is established, the user's position in the three-dimensional coordinate system is preset as a threshold analysis point, and the time required for the user to get from the threshold analysis point to the first distance threshold is extracted to obtain the user's walking time, and the user's walking time is compared and analyzed with the smart speaker wake-up time. If the user's walking time is equal to the smart speaker wake-up time, the user's walking time is marked as the wake-up preparation threshold time, and the threshold analysis point is marked as the second distance threshold point, and the distance from the second distance threshold point to the smart speaker is set as the second distance threshold; It should be explained that at the threshold analysis points in different directions and positions, the required walking time may be different due to factors such as individual differences, environmental differences (such as stairs, elevators, corridors, etc.), paths (the user may not move in a straight line from the threshold analysis point to the first distance threshold), etc. Therefore, the second distance threshold points in different directions and positions may not show a regular distribution, that is, the second distance threshold may be different in different directions; The process of obtaining the wake-up preparation threshold time is as follows: Extract the position of each distance detection point in the historical data, and obtain multiple historical paths based on the position of each distance detection point and the user's moving direction; Based on any historical path, mark the area within the path threshold of all historical paths as a preset path area, extract the number of historical paths within the preset path area, and calculate the ratio with the total number of all historical paths to obtain the path stability ratio; Preset a path stability ratio threshold, and compare and analyze the path stability ratio with the path stability ratio threshold; If the path stability ratio is less than or equal to the path stability ratio threshold, it means that the preset path area corresponding to the path stability ratio is a path area that the user does not often walk, that is, the preset path area is marked as an unstable path area; If the path stability ratio is greater than the path stability ratio threshold, it means that the preset path area corresponding to the path stability ratio is a path area often walked by the user, that is, the preset path area is marked as a stable path area; In a first exemplary embodiment, if the threshold analysis point is in an unstable path area, a historical path passing through the threshold analysis point and having the shortest device wake-up time (device wake-up time is the time taken by the user from the threshold analysis point to the first distance threshold) is extracted from the historical data, and the device wake-up time of the historical path is marked as the wake-up preparation threshold time; In a second exemplary embodiment, if the threshold analysis point is in a stable path region, all historical paths in the stable path region are extracted from the historical data, marked as threshold analysis paths, and the wake-up device time of each threshold analysis path is extracted; Evaluate the stability of the device wake-up time for each threshold analysis path, specifically: Sort all threshold analysis path wake-up device times and wake-up device times in ascending order of values, extract the first quartile value and the third quartile value in the sorting, obtain the first quartile wake-up device time and the third quartile wake-up device time, perform difference calculation on the first quartile wake-up device time and the third quartile wake-up device time, and obtain a stable characterization value; Preset a stable characterization threshold, and compare and analyze the stable characterization value with the stable characterization threshold; If the stable characterization value is less than or equal to the stable characterization threshold, it means that the wake-up device time of each threshold analysis path is relatively stable, that is, the first quartile value is marked as the wake-up preparation threshold time; If the stable representation value is greater than the stable representation threshold, it means that the wake-up device time of each threshold analysis path is relatively unstable, and the stable path area is analyzed to determine the walking speed stable sub-area and the walking speed unstable sub-area, so as to estimate the wake-up representation time of the stable path area, and mark the wake-up representation time as the wake-up preparation threshold time; The specific process of performing a section analysis on the stable path area, determining the stable walking speed sub-area and the unstable walking speed sub-area, and estimating the awakening representation time of the stable path area and marking the awakening representation time as the awakening preparation threshold time is as follows: Based on all distance detection points in the stable path area, the walking sub-speed of the distance detection point in each distance detection cycle is obtained; It should be explained that the walking sub-speed is calculated based on the distance between the distance detection point of the previous detection cycle corresponding to the distance detection cycle and the distance detection point of the distance detection cycle, and the time interval from the previous detection cycle to the distance detection cycle. Based on any distance detection point, all walking sub-speeds of the distance detection point are sorted according to the size of the values, and the first quartile value and the third quartile value of the sorting are extracted to obtain the first quartile walking sub-speed and the third quartile walking sub-speed, and the difference between the first quartile walking sub-speed and the third quartile walking sub-speed is calculated to obtain the stability coefficient; Preset the stability coefficient threshold, and compare and analyze the stability coefficient with the stability coefficient threshold; If the stability coefficient is less than or equal to the stability coefficient threshold, it means that in the historical data, the user's walking speed at the distance detection point corresponding to the stability coefficient is relatively stable, that is, the distance detection point is marked as a speed stability detection point; If the stability coefficient is greater than the stability coefficient threshold, it means that in the historical data, the walking speed of the user at the distance detection point corresponding to the stability coefficient is relatively unstable, that is, the distance detection point is marked as an unstable speed detection point; Based on all speed stable detection points and speed unstable detection points in the stable path area, the stable path area is divided into regions to obtain a number of walking speed stable sub-regions and walking speed unstable sub-regions; Extracting the central path of the stable path area to obtain the central identification path, and obtaining the awakening representation time based on each stable walking speed sub-area and unstable walking speed sub-area of ​​the central identification path, and marking the awakening representation time as the awakening preparation threshold time; It should be explained that the walking speed in the stable walking speed sub-area is the average of the first quartile walking sub-speeds of all speed stable detection points in the stable walking speed sub-area; the walking speed in the unstable walking speed sub-area is the first quartile value of the first quartile walking sub-speeds of all speed stable detection points in the unstable walking speed sub-area; The technical solution of the embodiment of the present invention is mainly as follows: by real-time monitoring of the signal strength between the target wireless device worn by the user and the smart speaker, the relative distance between the user and the smart speaker is calculated, and based on this distance information, a first distance threshold and a second distance threshold are preset to intelligently evaluate the relative position relationship between the user and the smart speaker, and dynamically adjust the working state of the smart speaker accordingly; in addition, the present invention also deeply considers the diversity of user mobility and environmental differences, optimizes the setting of the second distance threshold through historical data analysis, ensures that the smart speaker can be awakened in time when the user approaches, and improves the user experience. In particular, for the path areas frequently walked by users, the present invention adopts refined path analysis and speed stability evaluation to estimate and set a more accurate wake-up preparation threshold time, further enhancing the timeliness and accuracy of the smart speaker response.

[0012] Embodiment 2 Based on Example 1, please refer to Figure 2 As shown, a wake-up system based on a smart speaker according to an embodiment of the present invention includes: Distance detection module: by detecting the signal strength of the target wireless device worn by the user, the distance of the target wireless device reflecting the distance between the user and the smart speaker is obtained; State control module: based on the distance of the target wireless device, presets a first distance threshold and a second distance threshold, thereby evaluating the relative position relationship between the user and the smart speaker, and accordingly determines the working state of the smart speaker; Second distance threshold setting submodule: preset threshold analysis points, and extract the time required for the user to get from the threshold analysis point to the first distance threshold, obtain the user's walking time, compare and analyze the user's walking time with the smart speaker wake-up time. If the user's walking time is equal to the smart speaker wake-up time, the user's walking time is marked as the wake-up preparation threshold time, and the threshold analysis point is marked as the second distance threshold point, and the distance from the second distance threshold point to the smart speaker is set as the second distance threshold.

[0013] Embodiment 3 Reference Figure 3 The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a wake-up method based on a smart speaker as described in any one of the above methods is implemented.

[0014] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0015] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0016] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0017] Embodiment 4 An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, a wake-up method based on a smart speaker as described in any one of the above methods is implemented.

[0018] In this embodiment, if the integrated unit is implemented in the form of 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 present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0019] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0020] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0021] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. One point, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0022] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0023] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0024] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A wake-up method based on intelligent audio, characterized in that: The following steps are involved: Step 1: Detect the signal strength of the target wireless device worn by the user to obtain the target wireless device distance reflecting the distance between the user and the smart speaker; Step 2: Based on the distance of the target wireless device, a first distance threshold and a second distance threshold are preset to evaluate the relative position relationship between the user and the smart speaker, and determine the working state of the smart speaker accordingly; The setting process of the second distance threshold is as follows: A threshold analysis point is preset, and the time required for the user to get from the threshold analysis point to the first distance threshold is extracted to obtain the user's walking time. The user's walking time is compared and analyzed with the smart speaker wake-up time. If the user's walking time is equal to the smart speaker wake-up time, the user's walking time is marked as the wake-up preparation threshold time, and the threshold analysis point is marked as the second distance threshold point, and the distance from the second distance threshold point to the smart speaker is set as the second distance threshold.

2. The smart speaker based wake-up method according to claim 1, characterized in that: Based on the distance of the target wireless device, a first distance threshold and a second distance threshold are preset to evaluate the relative position relationship between the user and the smart speaker, and the process of determining the working state of the smart speaker accordingly is as follows: Preset a first distance threshold and a second distance threshold, and compare and analyze the distance of the target wireless device with the first distance threshold and the second distance threshold respectively; If the distance of the target wireless device is less than or equal to the first distance threshold, a wake-up signal is generated to wake up the smart speaker, that is, the smart speaker is switched from the screen saver mode to the working mode; If the target wireless device distance is respectively greater than the first distance threshold, and the target wireless device distance is less than or equal to the second distance threshold, analyzing the current movement state of the user, and generating a wake-up signal or a sleep signal based on the analysis result; If the distance of the target wireless device is greater than the second distance threshold, a sleep signal is generated and the smart speaker is switched from the working mode to the screen saver mode.

3. The smart speaker based wake-up method according to claim 2, characterized in that: The process of analyzing the user's current mobile state and generating a wake-up signal or a sleep signal based on the analysis result is as follows: Sort the target wireless device distances obtained in each signal strength detection cycle; If the value of the distance of the target wireless device after sorting is in a decreasing state, it is determined that the current user's moving state is a close state, that is, a wake-up signal is generated; If the values ​​of the distances of the target wireless devices after sorting are in an increasing state, it is determined that the current user's moving state is a moving away state, and a sleep signal is generated.

4. The smart speaker based wake-up method according to claim 1, characterized in that: The process of obtaining the wake-up preparation threshold time is as follows: Extract the position of each distance detection point in the historical data, and obtain multiple historical paths based on the position of each distance detection point and the user's moving direction; Based on any historical path, mark the area within the path threshold of all historical paths as a preset path area, extract the number of historical paths within the preset path area, and calculate the ratio with the total number of all historical paths to obtain the path stability ratio; Based on the path stability ratio, marking the preset path area as an unstable path area or a stable path area; If the threshold analysis point is in an unstable path area, extract the historical path that passes through the threshold analysis point and has the shortest device wake-up time, and mark the device wake-up time of the historical path as the wake-up preparation threshold time; If the threshold analysis point is in the stable path area, all historical paths in the stable path area are extracted from the historical data, marked as threshold analysis paths, and the wake-up device time of each threshold analysis path is extracted; The stability of the device wake-up time of each threshold analysis path is evaluated, and the wake-up preparation threshold time is obtained based on the stability of the device wake-up time of each threshold analysis path.

5. The smart speaker based wake-up method according to claim 4, characterized in that: Based on the path stability ratio, the process of marking the preset path area as an unstable path area or a stable path area is as follows: A path stability ratio threshold is preset, and the path stability ratio is compared and analyzed with the path stability ratio threshold; If the path stability ratio is less than or equal to the path stability ratio threshold, the preset path area is marked as an unstable path area; If the path stability ratio is greater than the path stability ratio threshold, the preset path area is marked as a stable path area.

6. The smart speaker based wake-up method according to claim 4, characterized in that: The process of evaluating the stability of the device wake-up time of each threshold analysis path and obtaining the wake-up preparation threshold time based on the stability of the device wake-up time of each threshold analysis path is as follows: Sort all threshold analysis path wake-up device times and wake-up device times in ascending order of values, extract the first quartile value and the third quartile value in the sorting, obtain the first quartile wake-up device time and the third quartile wake-up device time, perform difference calculation on the first quartile wake-up device time and the third quartile wake-up device time, and obtain a stable characterization value; Preset a stable characterization threshold, and compare and analyze the stable characterization value with the stable characterization threshold; If the stable characterization value is less than or equal to the stable characterization threshold, the first quartile value is marked as the awakening preparation threshold time; If the stability representation value is greater than the stability representation threshold, a section analysis is performed on the stable path area to determine the stable walking speed sub-area and the unstable walking speed sub-area, so as to estimate the wake-up representation time of the stable path area and mark the wake-up representation time as the wake-up preparation threshold time.

7. The smart speaker based wake-up method according to claim 6, characterized in that: The specific process of analyzing the stable path area, determining the stable walking speed sub-area and the unstable walking speed sub-area, and estimating the awakening representation time of the stable path area and marking the awakening representation time as the awakening preparation threshold time is as follows: Based on all distance detection points in the stable path area, the walking sub-speed of the distance detection point in each distance detection cycle is obtained; Based on any distance detection point, all walking sub-speeds of the distance detection point are sorted according to the size of the values, and the first quartile value and the third quartile value of the sorting are extracted to obtain the first quartile walking sub-speed and the third quartile walking sub-speed, and the difference between the first quartile walking sub-speed and the third quartile walking sub-speed is calculated to obtain the stability coefficient; Based on the stability coefficient, assess whether the user's walking speed at the distance detection point corresponding to the stability coefficient is stable, thereby marking the distance detection point as a speed stable detection point or a speed unstable detection point; Based on all speed stable detection points and speed unstable detection points in the stable path area, the wake-up representation time is obtained, and the wake-up representation time is marked as the wake-up preparation threshold time.

8. The smart speaker based wake-up method according to claim 7, characterized in that: Based on the stability coefficient, the process of evaluating whether the user's walking speed at the distance detection point corresponding to the stability coefficient is stable, and thus marking the distance detection point as a speed stable detection point or a speed unstable detection point is as follows: Preset the stability coefficient threshold, and compare and analyze the stability coefficient with the stability coefficient threshold; If the stability coefficient is less than or equal to the stability coefficient threshold, the distance detection point is marked as a speed stability detection point; If the stability coefficient is greater than the stability coefficient threshold, the distance detection point is marked as a speed instability detection point.

9. The smart speaker based wake-up method according to claim 7, characterized in that: Based on all speed stable detection points and speed unstable detection points in the stable path area, the process of obtaining the wake-up representation time and marking the wake-up representation time as the wake-up preparation threshold time is as follows: Based on all speed stable detection points and speed unstable detection points in the stable path area, the stable path area is divided into regions to obtain a number of walking speed stable sub-regions and walking speed unstable sub-regions; The central path of the stable path area is extracted to obtain the central identification path, and the awakening representation time is obtained based on each stable walking speed sub-area and unstable walking speed sub-area passed by the central identification path, and the awakening representation time is marked as the awakening preparation threshold time.

10. A wake-up system based on intelligent audio, characterized in that: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Distance detection module: by detecting the signal strength of the target wireless device worn by the user, the distance of the target wireless device reflecting the distance between the user and the smart speaker is obtained; State control module: based on the distance of the target wireless device, presets a first distance threshold and a second distance threshold, thereby evaluating the relative position relationship between the user and the smart speaker, and accordingly determines the working state of the smart speaker; Second distance threshold setting submodule: preset threshold analysis points, and extract the time required for the user to get from the threshold analysis point to the first distance threshold, obtain the user's walking time, compare and analyze the user's walking time with the smart speaker wake-up time. If the user's walking time is equal to the smart speaker wake-up time, the user's walking time is marked as the wake-up preparation threshold time, and the threshold analysis point is marked as the second distance threshold point, and the distance from the second distance threshold point to the smart speaker is set as the second distance threshold.

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