Pet information detection method and pet information detection device

Abstract

The invention relates to a pet information detection method and a pet information detection device. The method comprises the steps of obtaining multiple pieces of attribute information of a target object; the multiple pieces of attribute information comprise emotion representation information and physiological information; the emotion representation information comprises audio information and / or action information; detecting the emotional state of the target object according to the emotional representation information of the target object to obtain a first detection result, and detecting the health condition of the target object according to the physiological information of the target object to obtain a second detection result. By adopting the method, the emotional state of the target object can be more accurately detected according to the audio information and / or the action information of the target object, and the health condition of the target object can be more accurately detected according to the physiological information of the target object; therefore, the accuracy of detecting the emotional state and the health condition of the pet can be improved.

Description

Technical Field

[0001] This application relates to the field of information management technology, and in particular to a pet information detection method and a pet information detection device. Background Technology

[0002] As living standards continue to improve, more and more residents are choosing to keep pets. However, due to a lack of pet-keeping experience, some residents struggle to accurately understand their pets' intentions and related information, such as their emotional state and health status, making it difficult to effectively manage and care for them. Therefore, to better interact with pets, it is necessary to accurately understand their intentions and related information.

[0003] However, current methods for detecting pet information suffer from low accuracy. Summary of the Invention

[0004] Therefore, it is necessary to provide a pet information detection method and a pet information detection device that can improve the accuracy of detection, addressing the aforementioned technical problems.

[0005] Firstly, this application provides a pet information detection method, applied to a pet information detection device, the method comprising:

[0006] Acquire multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information;

[0007] Based on the emotional representation information of the target object, the emotional state of the target object is detected to obtain a first detection result; and based on the physiological information of the target object, the health status of the target object is detected to obtain a second detection result.

[0008] In one embodiment, the step of detecting the emotional state of the target object based on the emotional representation information of the target object to obtain a first detection result includes:

[0009] Determine the type of the target object;

[0010] Based on the type of the target object and the emotional representation information, the emotional state of the target object is detected to obtain the first detection result.

[0011] In one embodiment, the emotion representation information includes the audio information, and the step of detecting the emotional state of the target object based on the type of the target object and the emotion representation information to obtain the first detection result includes:

[0012] If the target object is of type 1, the audio information of the target object is compared and analyzed with multiple audio features in a preset database to obtain the first detection result of the target object; the preset database includes the correspondence between the audio features of multiple objects of type 1 and their emotional states.

[0013] In one embodiment, the emotion representation information includes the action information, and the step of detecting the emotional state of the target object based on the type of the target object and the emotion representation information to obtain the first detection result includes:

[0014] If the target object is of type two, the action information of the target object is input into a preset detection network for emotion state detection to obtain the first detection result of the target object; the detection network is generated based on the action features of multiple objects of type two under different emotional states.

[0015] In one embodiment, the physiological information includes heart rate information, and the step of detecting the health status of the target object based on the physiological information of the target object to obtain a second detection result includes:

[0016] The heart rate information of the target object is input into a preset health prediction network to detect its health status, and the second detection result is obtained.

[0017] Secondly, this application also provides a pet information detection device, which includes an information acquisition component, a processing component, and a fixing component; the information acquisition component is disposed in a first area of ​​the fixing component, and the information acquisition component is communicatively connected to the processing component; the fixing component is used to fix the information acquisition component and the processing component to a target object;

[0018] The information acquisition component is used to acquire multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information.

[0019] The processing component is configured to detect the emotional state of the target object based on the target object's emotional representation information to obtain a first detection result, and to detect the health status of the target object based on the target object's physiological information to obtain a second detection result.

[0020] In one embodiment, the processing component is disposed in a second region of the fixed component; the second region is positioned away from the first region.

[0021] In one embodiment, the pet information detection device further includes a display disposed on the fixed component and connected to the processing component, the display being used to display the first detection result and the second detection result.

[0022] In one embodiment, the pet information detection device further includes a power supply component disposed on the fixed component and connected to the processing component. The power supply component is used to provide power to the information acquisition component and the processing component.

[0023] In one embodiment, the pet information detection device further includes a wireless communication module; the wireless communication module is used to transmit the detection results of the processing component to an external device, and / or to receive instructions sent by the external device.

[0024] The aforementioned pet information detection method and device acquire multiple attribute information of the target object; these attribute information include emotional representation information and physiological information; the emotional representation information includes audio information and / or action information; based on the target object's emotional representation information, the target object's emotional state is detected to obtain a first detection result; and based on the target object's physiological information, the target object's health status is detected to obtain a second detection result. The embodiments of this application can more accurately detect the target object's emotional state based on its audio information and / or action information, and can more accurately detect its health status based on its physiological information, thereby improving the accuracy of detecting the pet's emotional state and health status. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a diagram illustrating the application environment of a pet information detection method in one embodiment;

[0027] Figure 2 One embodiment includes a pet information detection device comprising a wireless communication module;

[0028] Figure 3 This is a flowchart illustrating a pet information detection method in one embodiment;

[0029] Figure 4This is a flowchart illustrating the emotion state detection steps in one embodiment;

[0030] Figure 5 This is a flowchart illustrating the pet information detection method in another embodiment;

[0031] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0033] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0034] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. That is, in the description of the embodiments of this application, the technical terms "first," "second," etc., are only used to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary or secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined. The term "and / or" used in this application refers to one of the solutions or any combination of multiple solutions.

[0035] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0036] As living standards continue to improve, more and more residents are choosing to keep pets. However, due to a lack of pet-owning experience, some residents struggle to accurately understand their pets' intentions and related information. For example, pet owners may find it difficult to accurately gauge their pets' emotional state while playing, or to monitor their health when they are away, hindering effective management and care. Therefore, to better interact with pets, it is essential to accurately understand their intentions and related information.

[0037] However, current pet information detection methods can only roughly determine a pet's activity level, but cannot accurately perceive changes in a pet's emotions. Therefore, the means of monitoring pet emotions are limited and cannot meet pet owners' needs for a comprehensive understanding of their pet's condition. Furthermore, the accuracy of monitoring a pet's emotions and health is not high. Thus, current pet information detection methods suffer from low accuracy.

[0038] After introducing the background technology of the pet information detection method provided in the embodiments of this application, the implementation environment involved in the pet information detection method provided in the embodiments of this application will be briefly described below. The pet information detection method provided in the embodiments of this application can be applied to, for example... Figure 1 The pet information detection device shown. And those skilled in the art will understand that... Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the pet information detection device to which the present application is applied. A specific pet information detection device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0039] In one embodiment, such as Figure 1 As shown, a pet information detection device is provided, which includes an information acquisition component 11, a processing component 12, and a fixing component (not shown in the figure); the information acquisition component 11 is disposed in the first area of ​​the fixing component, and the information acquisition component 11 is communicatively connected to the processing component 12; the fixing component is used to fix the information acquisition component 11 and the processing component 12 to the target object;

[0040] Information acquisition component 11 is used to collect multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information.

[0041] The processing component 12 is used to detect the emotional state of the target object based on the target object's emotional representation information to obtain a first detection result, and to detect the health status of the target object based on the target object's physiological information to obtain a second detection result.

[0042] The information acquisition component 11 includes multiple sensors, which may include, but are not limited to, a sound acquisition component, a motion sensor, a heart rate sensor, and a body temperature sensor. For example, the sound acquisition component may be a microphone, the motion sensor may be a triaxial accelerometer, and the heart rate sensor may be an optical sensor or a piezoelectric sensor. Multiple attribute information may include, but is not limited to, emotional representation information and physiological information. For example, emotional representation information may include audio information and / or motion information; audio information may be snoring; and physiological information may include at least one of heart rate information, respiratory information, and pulse information.

[0043] For example, the fixing component can be a collar or a harness. The target object can be a pet. The fixing component is used to fix the information collection component 11 and the processing component 12 to the target object. It should be noted that the embodiments of this application do not limit the setting position of the processing component on the target object. In one embodiment, the processing component can be set in a second region of the fixing component, wherein the second region is set away from the first region. For example, the second region can be an area on the target object with less activity, thus enabling more stable pet information detection.

[0044] The information acquisition component 11 is disposed in a first region of the fixed component, which may include, but is not limited to, at least one of the following regions: chest region, neck region, etc. For example, a microphone can be placed near the pet's throat on the collar or harness to collect the pet's purring sounds in real time. This microphone has high sensitivity and can effectively capture purring sounds of different frequencies and intensities. For example, a three-axis accelerometer can be mounted on the collar or harness to detect the pet's movement information in real time, such as tail wagging, jumping, and curling up. For example, an optical sensor or piezoelectric sensor can be integrated inside the harness, in contact with the pet's skin, to sense the pet's heart rate information. The optical sensor or piezoelectric sensor has low power consumption characteristics, ensuring that the pet information detection device can operate for extended periods. For example, a heart rate sensor can continuously collect the pet's heart rate information regardless of whether the owner is present.

[0045] The information acquisition component 11 communicates with the processing component 12 via a network. The processing component 12 includes a processor, which can be a high-performance, low-power microprocessor. The processing component 12 is responsible for receiving multiple attribute information of the target object transmitted by the information acquisition component 11 and processing and analyzing this information. Optionally, the processing component 12 can be a small device with an integrated processor, or it can be a portable wearable device. Portable wearable devices can be smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc.

[0046] In this embodiment, the pet information detection device includes an information acquisition component 11, a processing component 12, and a fixing component. The information acquisition component 11 is used to collect multiple attribute information of the target object in real time or periodically, and transmit the multiple attribute information of the target object to the processing component 12. The processing component 12 is used to detect the emotional state of the target object in real time or periodically based on the emotional representation information of the target object, and obtain a first detection result. The processing component 12 is also used to detect the health status of the target object in real time or periodically based on the physiological information of the target object, and obtain a second detection result. The first detection result represents the emotional state of the target object, such as any one of emotions like happiness, tension, or sadness, while the second detection result represents the health status of the target object.

[0047] The aforementioned pet information detection device includes an information acquisition component, a processing component, and a fixing component. The information acquisition component is located in the first area of ​​the fixing component and is communicatively connected to the processing component. The fixing component is used to fix the information acquisition component and the processing component to the target object. The information acquisition component is used to collect multiple attribute information of the target object, including emotional representation information and physiological information. The emotional representation information includes audio information and / or action information. The processing component is used to detect the emotional state of the target object based on its emotional representation information, obtaining a first detection result, and to detect the health status of the target object based on its physiological information, obtaining a second detection result. Thus, the accuracy of detecting the emotional state and health status of pets can be improved by more accurately detecting the emotional state and / or action information of the target object, and by more accurately detecting the health status of the target object based on its physiological information.

[0048] In one embodiment, the pet information detection device further includes a display, which is mounted on a fixed component and connected to a processing component. The display is used to display a first detection result and a second detection result.

[0049] In this embodiment, the pet information detection device further includes a display, which is mounted on a fixed component and communicatively connected to a processing component. The display shows the first and second detection results. Additionally, it displays the target object's electrocardiogram, movement trajectory, location information, etc. This allows the display to provide more detailed information about the target object.

[0050] In one embodiment, the pet information detection device further includes a power supply component, which is mounted on the fixed component and connected to the processing component. The power supply component is used to provide power to the information acquisition component and the processing component.

[0051] In this embodiment of the application, the pet information detection device also includes a power supply component. For example, the power supply component can be a rechargeable lithium battery. The power supply component is mounted on the fixed component and connected to the processing component. The power supply component is used to provide power to the entire pet information detection device, including the information acquisition component and the processing component. In addition, the power supply component can also be equipped with a low battery reminder function to remind the user to replace the battery in time.

[0052] In one embodiment, the pet information detection device further includes a wireless communication module; the wireless communication module is used to transmit the detection results of the processing component to an external device, and / or to receive instructions sent by the external device.

[0053] The external device can be the pet owner's terminal device, or it can be other computer devices. For example, the terminal device and computer device can include, but are not limited to, various personal computers, laptops, smartphones, tablets, drones, low-altitude aircraft, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc.

[0054] An application can be installed on the external device. The external device can receive data or information transmitted by the wireless communication module and display the pet's emotional state prediction results and health status prediction results in an intuitive way (such as text, charts, emoticons, etc.) on the application.

[0055] In the embodiments of this application, such as Figure 2 As shown, Figure 2 In one embodiment, a pet information detection device includes a wireless communication module. This device further includes a wireless communication module 13, which is used to transmit the first and second detection results of the processing component 12 to an external device 20 using Bluetooth or Wi-Fi technology. The wireless communication module 13 is also used to receive instructions sent by the external device 20 using Bluetooth or Wi-Fi technology and execute corresponding operations based on the received instructions. Thus, the pet information detection device can interact with external devices through the wireless communication module, allowing pet owners to more conveniently and accurately understand their pet's detection results.

[0056] In addition, the aforementioned pet information detection device also includes an early warning module. This module is connected to the processing component and is used to directly output an early warning signal when the first and / or second detection results are abnormal, or to output early warning information to external devices so that the external devices can also output early warning signals. The early warning signal may include, but is not limited to, audible alerts and pop-up alerts.

[0057] The following is a detailed introduction to the methods for detecting pet information.

[0058] In one embodiment, such as Figure 3 As shown, a pet information detection method is provided, which can be applied to... Figure 1 Taking the pet information detection device in the middle as an example, the following steps are included:

[0059] S301, Obtain multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information.

[0060] In this embodiment, the information acquisition component of the pet information detection device can collect multiple attribute information of the target object in real time or at regular intervals, and transmit the multiple attribute information of the target object to the processing component. Thus, the processing component of the pet information detection device can receive the multiple attribute information of the target object. The multiple attribute information may include, but is not limited to, information such as emotional representation information and physiological information. For example, emotional representation information may include audio information and / or action information, and physiological information may include at least one of heart rate information, respiratory information, pulse information, etc.

[0061] S302, based on the emotional representation information of the target object, the emotional state of the target object is detected to obtain a first detection result, and based on the physiological information of the target object, the health status of the target object is detected to obtain a second detection result.

[0062] In this embodiment, optionally, the processing component in the pet information detection device can directly detect the emotional state of the target object based on its emotional representation information to obtain a first detection result; and the processing component in the pet information detection device can directly detect the health status of the target object based on its physiological information to obtain a second detection result. Alternatively, the processing component in the pet information detection device can first perform data preprocessing on multiple attribute information of the target object to obtain preprocessed emotional representation information and preprocessed physiological information, and then detect the emotional state of the target object based on the preprocessed emotional representation information to obtain a first detection result, and detect the health status of the target object based on the preprocessed physiological information to obtain a second detection result. The first detection result represents the emotional state of the target object, such as any one of emotions like happiness, tension, or sadness, and the second detection result represents the health status of the target object.

[0063] For example, data preprocessing methods may include, but are not limited to, the following: performing noise reduction, filtering, or other processing on the audio information acquired by the sound acquisition component to remove interference from environmental noise; and / or, standardizing the motion information acquired by the motion sensor to unify the data format and units; and / or, smoothing the heart rate information acquired by the heart rate sensor to eliminate random errors.

[0064] In the aforementioned pet information detection method, multiple attribute information of the target object is acquired; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information; based on the emotional representation information of the target object, the emotional state of the target object is detected to obtain a first detection result; and based on the physiological information of the target object, the health status of the target object is detected to obtain a second detection result. The embodiments of this application can more accurately detect the emotional state of the target object based on its audio information and / or action information, and can more accurately detect its health status based on its physiological information, thereby improving the accuracy of detecting the emotional state and health status of pets.

[0065] In one embodiment, a method for detecting the emotional state of a target object is provided, namely, "detecting the emotional state of the target object based on its emotional representation information, and obtaining a first detection result" in S302 above. Figure 4 As shown, it includes:

[0066] S401, Determine the type of the target object.

[0067] In this embodiment, the processing component in the pet information detection device can determine the type of the target object based on its habits. The type of the target object can include, but is not limited to, any of the following pet types: cat, dog, rabbit, etc.

[0068] S402, based on the type of the target object and the emotional representation information, detect the emotional state of the target object and obtain the first detection result.

[0069] In this embodiment, different emotion detection methods can be pre-designed for different pet types. Thus, the processing component in the pet information detection device can select the emotion detection method corresponding to the target object from multiple emotion detection methods corresponding to pet types, and call the emotion detection method corresponding to the target object to analyze the emotion representation information, so as to realize the detection of the emotional state of the target object and obtain the first detection result.

[0070] Furthermore, personalized settings and modeling can be implemented to address the differences in physiological behavior among different pet types at different time periods, resulting in emotion detection models for each pet type at different time periods. Thus, the processing component in the pet information detection device can determine the target emotion detection model from multiple emotion detection models for different pet types at different time periods based on the target object's type and the time of collection of emotion representation information. The target emotion detection model is then used to analyze the emotion representation information of the target object at the time of collection, thereby detecting the target object's emotional state within the time period corresponding to the collection time and obtaining a first detection result. Here, the target emotion detection model refers to an emotion detection model that corresponds to both the target object and the collection time. Optionally, the emotion detection model can be a correspondence between the target object, the collection time, and the emotion detection result; alternatively, the emotion detection model can be any deep learning model. Of course, this application embodiment does not limit the emotion detection model.

[0071] In this embodiment, the emotional state of the target object is detected based on the type of the target object and the emotional representation information. This can make full use of the unique physiological and behavioral characteristics of different pet types to achieve more accurate and specific emotion detection, thus obtaining more accurate emotion detection results.

[0072] In one embodiment, the aforementioned emotional representation information includes audio information. Based on this, an implementation method for detecting the emotional state of a target object is provided, namely, the "detecting the emotional state of the target object according to the type of the target object and the emotional representation information, and obtaining a first detection result" in S402 above, includes:

[0073] If the target object is of type 1, the audio information of the target object is compared and analyzed with multiple audio features in the preset database to obtain the first detection result of the target object; the preset database includes the correspondence between the audio features of multiple type 1 objects and their emotional states.

[0074] The first type can be a cat type. The preset database includes the correspondence between the audio features and emotional states of multiple objects of the first type. The audio features can include, but are not limited to, characteristic parameters such as frequency, intensity, and duration. The emotional states can include, but are not limited to, comfort, satisfaction, tension, etc.

[0075] In this embodiment, the processing component in the pet information detection device can pre-establish a preset database based on the audio characteristics of multiple objects of the first type under different emotional states. Therefore, if the target object is of the first type, the processing component in the pet information detection device, after acquiring the target object's audio information, can compare and analyze the target object's audio information with multiple audio features in the preset database to obtain the target object's emotional state.

[0076] In this embodiment, if the target object is of the first type, the audio information of the target object can be compared and analyzed with multiple audio features in a preset database to accurately determine the emotional changes of the target object of the first type.

[0077] In one embodiment, the aforementioned emotional representation information includes action information. Based on this, a method for detecting the emotional state of a target object is provided, namely, the "detecting the emotional state of the target object according to the type of the target object and the emotional representation information, and obtaining a first detection result" in S402 above, includes:

[0078] If the target object is of type 2, the target object's action information is input into a preset detection network for emotion state detection to obtain the first detection result of the target object; the detection network is generated based on the action features of multiple type 2 objects under different emotional states.

[0079] The second type can be a dog type. The detection network is generated based on the action features of multiple second-type objects under different emotional states. The emotional states can include, but are not limited to, emotions such as excitement, fear, and anger. The action features can include, but are not limited to, the amplitude, frequency, and speed of the action.

[0080] In this embodiment, the processing component in the pet information detection device can pre-train a preset detection network based on the action characteristics of multiple second-type objects under different emotional states. Therefore, if the target object is of the second type, after acquiring the target object's action information, the processing component in the pet information detection device can input the target object's action information into the preset detection network for emotional state detection, and then output the target object's emotional state detection result.

[0081] In this embodiment, if the target object is of the second type, the target object's action information can be input into a preset detection network for emotional state detection, so as to accurately determine the emotional state of the target object of the second type.

[0082] In one embodiment, the aforementioned physiological information includes heart rate information. Based on this, an implementation method for detecting the health status of a target object is provided, namely, the "detecting the health status of the target object based on the physiological information of the target object and obtaining a second detection result" in S302 above, including:

[0083] The heart rate information of the target object is input into a preset health prediction network to detect the health status and obtain a second detection result.

[0084] In this embodiment, the processing component of the pet information detection device can pre-train a preset health prediction network based on heart rate information of multiple second-type objects under different health conditions. The preset health prediction network can be a correlation model between heart rate information and health status. Therefore, after acquiring the heart rate information of the target object, the processing component of the pet information detection device can input the target object's heart rate information into the preset health prediction network for health status detection. By analyzing the trend and fluctuation range of heart rate changes, the device can predict the target object's health status. The health status detection result can be the target object's physical condition, such as whether there are heart rate abnormalities or potential health risks.

[0085] In this embodiment, the heart rate information of the target object is input into a preset health prediction network for health status detection. The health prediction network can then be used to analyze the heart rate information to accurately predict the target object's physical condition.

[0086] In an optional embodiment, such as Figure 5 As shown, a pet information detection method is provided, which can be applied to... Figure 1 Taking the pet information detection device in the middle as an example, the explanation includes:

[0087] S501, Obtain multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information;

[0088] S502, Determine the type of the target object;

[0089] S503, if the target object is of type 1, then the audio information of the target object is compared and analyzed with multiple audio features in the preset database to obtain the first detection result of the target object; the preset database includes the correspondence between the audio features of multiple health prediction network type 1 objects and their emotional states;

[0090] S504, if the target object is of type 2, then the action information of the target object is input into the preset detection network for emotion state detection to obtain the first detection result of the target object; the detection network is generated by training based on the action features of multiple type 2 objects under different emotion states;

[0091] S505, input the heart rate information of the target object into the preset health prediction network to detect the health status and obtain the second detection result of the health prediction network.

[0092] The aforementioned pet information detection method and device can more accurately and in real-time detect the emotional state of a target pet based on its audio and / or movement information. This allows owners to accurately judge their pet's emotional changes while playing with it, better understand its feelings, and enhance interaction and emotional communication between owner and pet. Furthermore, by monitoring the target pet's heart rate, it can more accurately detect its health status, enabling owners to stay informed about their pet's physical condition even when away from home, facilitating early detection of health problems and timely intervention to protect the pet's health. Therefore, it improves the accuracy of detecting the pet's emotional and health states. In addition, firstly, the embodiments of this application can employ different emotion detection methods tailored to the different characteristics of pets, improving the accuracy and specificity of emotion judgment. Secondly, the pet information detection device integrates multiple functional modules, achieving integrated emotion monitoring and health monitoring functions, making it convenient to use and meeting the diverse needs of pet owners. Third, the pet information detection device uses low-power hardware and optimized pet information detection methods, which extends the device's battery life, reduces charging frequency, improves the device's practicality, and meets the owner's need to understand the pet's emotional state and health status when interacting with the pet and when going out.

[0093] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0094] In one embodiment, a processing component is provided. The processor may be a computer device, optionally a terminal, or a server. Of course, the embodiments of this application do not limit the processing component.

[0095] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a pet information detection method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0096] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0097] It should be noted that the user information (including but not limited to information collected by the information collection component, user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0098] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0099] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0100] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for detecting pet information, characterized in that, The method, applied to a pet information detection device, includes: Acquire multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information; Based on the emotional representation information of the target object, the emotional state of the target object is detected to obtain a first detection result; and based on the physiological information of the target object, the health status of the target object is detected to obtain a second detection result.

2. The method according to claim 1, characterized in that, The step of detecting the emotional state of the target object based on its emotional representation information to obtain a first detection result includes: Determine the type of the target object; Based on the type of the target object and the emotional representation information, the emotional state of the target object is detected to obtain the first detection result.

3. The method according to claim 2, characterized in that, The emotional representation information includes the audio information. The step of detecting the emotional state of the target object based on the type of the target object and the emotional representation information to obtain the first detection result includes: If the target object is of type 1, the audio information of the target object is compared and analyzed with multiple audio features in a preset database to obtain the first detection result of the target object; the preset database includes the correspondence between the audio features of multiple objects of type 1 and their emotional states.

4. The method according to claim 2, characterized in that, The emotional representation information includes the action information. The step of detecting the emotional state of the target object based on the type of the target object and the emotional representation information to obtain the first detection result includes: If the target object is of type two, the action information of the target object is input into a preset detection network for emotion state detection to obtain the first detection result of the target object; the detection network is generated based on the action features of multiple objects of type two under different emotional states.

5. The method according to any one of claims 1-4, characterized in that, The physiological information includes heart rate information. The step of detecting the health status of the target object based on the target object's physiological information to obtain a second detection result includes: The heart rate information of the target object is input into a preset health prediction network to detect its health status, and the second detection result is obtained.

6. A pet information detection device, characterized in that, The pet information detection device includes an information acquisition component, a processing component, and a fixing component; the information acquisition component is disposed in a first area of ​​the fixing component, and the information acquisition component is communicatively connected to the processing component; the fixing component is used to fix the information acquisition component and the processing component to the target object; The information acquisition component is used to acquire multiple attribute information of the target object; the multiple attribute information includes emotional representation information and physiological information; the emotional representation information includes audio information and / or action information. The processing component is configured to detect the emotional state of the target object based on the target object's emotional representation information to obtain a first detection result, and to detect the health status of the target object based on the target object's physiological information to obtain a second detection result.

7. The apparatus according to claim 6, characterized in that, The processing component is disposed in the second region of the fixed component; the second region is disposed at a position away from the first region.

8. The apparatus according to claim 6, characterized in that, The pet information detection device also includes a display, which is mounted on the fixed component and connected to the processing component. The display is used to display the first detection result and the second detection result.

9. The apparatus according to claim 6, characterized in that, The pet information detection device also includes a power supply component, which is mounted on the fixed component and connected to the processing component. The power supply component is used to provide power to the information acquisition component and the processing component.

10. The apparatus according to claim 6, characterized in that, The pet information detection device further includes a wireless communication module; the wireless communication module is used to transmit the detection results of the processing component to an external device, and / or to receive instructions sent by the external device.

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