Animal behavior correction method and device

Abstract

The invention discloses an animal behavior correction method and device. The method comprises the following steps: collecting behavior data and position information of an animal; performing behavior recognition on the behavior data to obtain a target behavior; obtaining a prohibition behavior list corresponding to the position information; and in response to the target behavior existing in the prohibited behavior list, performing behavior correction on the animal. Through the mode, when the behavior of the animal at the corresponding position is identified to exist in the prohibited behavior list, the behavior of the animal can be corrected, and intervention can be carried out in time.

Description

Technical Field

[0001] This application relates to the field of animal behavior correction technology, and in particular to an animal behavior correction method and apparatus. Background Technology

[0002] During the process of animal husbandry, animals often exhibit some unruly behaviors, such as barking excessively, urinating or defecating indiscriminately, digging on the ground, chewing on furniture, and attacking strangers or other animals. These behaviors not only cause trouble for pet owners but may also damage the home environment, leading to economic losses, and may even cause physical and psychological harm to other people or other pets.

[0003] Existing anti-bite headgear or muzzle can prevent animals from chewing on furniture and attacking others or other animals. However, these devices can only be worn for short periods of time for protection, such as for short walks. Wearing them for extended periods can cause discomfort to animals and affect their eating and drinking. Summary of the Invention

[0004] The purpose of this application is to provide an animal behavior correction method and apparatus that can correct animal behavior and intervene in a timely manner when it is identified that the animal’s behavior in a certain location is in a prohibited behavior list.

[0005] To solve the above-mentioned technical problems, this application is implemented as follows:

[0006] In a first aspect, embodiments of this application provide an animal behavior correction method, which includes: collecting animal behavior data and location information; performing behavior recognition on the behavior data to obtain a target behavior; obtaining a list of prohibited behaviors corresponding to the location information; and correcting the animal's behavior in response to the presence of the target behavior in the list of prohibited behaviors.

[0007] Secondly, embodiments of this application provide an animal behavior correction device, which includes: a wearable body configured to be worn on an animal; a behavior acquisition unit disposed on the wearable body and configured to acquire animal behavior data; a positioning unit disposed on the wearable body and configured to acquire animal location information; a processing unit disposed on the wearable body, coupled to the behavior acquisition unit and the positioning unit, configured to perform behavior recognition on the behavior data to obtain a target behavior and to acquire a list of prohibited behaviors corresponding to the location information; and a behavior correction unit disposed on the wearable body, coupled to the processing unit, configured to correct the animal's behavior in response to the presence of a target behavior in the list of prohibited behaviors.

[0008] In this embodiment, animal behavior data and location information are collected; behavior recognition is performed on the behavior data to obtain the target behavior; a list of prohibited behaviors corresponding to the location information is obtained; and in response to the presence of the target behavior in the list of prohibited behaviors, the animal's behavior is corrected. This not only enables timely intervention when the animal's behavior at a given location is identified as being on the list of prohibited behaviors, but also helps animal owners effectively prevent the disturbance, harm, or injury caused by the animal's inappropriate behavior at that location. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0010] Figure 1 This is a flowchart illustrating an embodiment of the animal behavior correction method provided in this application;

[0011] Figure 2 This is a flowchart illustrating another embodiment of the animal behavior correction method provided in this application;

[0012] Figure 3 This is a flowchart illustrating yet another embodiment of the animal behavior correction method provided in this application;

[0013] Figure 4 This is a schematic diagram of an embodiment of the animal behavior correction device provided in this application. Detailed Implementation

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are only for explaining this application and not for limiting it. Furthermore, it should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all structures. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0015] 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.

[0016] During the process of animal husbandry, animals often exhibit some unruly behaviors, such as barking excessively, urinating or defecating indiscriminately, digging on the ground, chewing on furniture, and attacking strangers or other animals. These behaviors not only cause trouble for pet owners but may also damage the home environment, leading to economic losses, and may even cause physical and psychological harm to other people or other pets.

[0017] Existing anti-bite headgear or muzzle can prevent animals from chewing on furniture and attacking others or other animals. However, these devices can only be worn for short periods of time for protection, such as for short walks. Wearing them for extended periods can cause discomfort to animals and affect their eating and drinking.

[0018] Based on this, this application proposes to collect animal behavior data and location information; perform behavior recognition on the behavior data to obtain the target behavior; obtain a list of prohibited behaviors corresponding to the location information; and correct the animal's behavior in response to the presence of the target behavior in the list of prohibited behaviors. This not only enables timely intervention when the animal's behavior at a given location is identified as being on the list of prohibited behaviors, but also helps animal owners effectively prevent the disturbance, harm, or injury caused by the animal's inappropriate behavior at that location. See any of the following embodiments for details.

[0019] See Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the animal behavior correction method provided in this application. The method includes:

[0020] Step 11: Collect animal behavior data and location information.

[0021] In some embodiments, behavioral data includes at least one of sound data and posture data. That is, corresponding sound data can be collected by a sound acquisition unit, and corresponding posture data can be collected by a posture acquisition unit. Corresponding location information is also collected by a positioning unit. These sound acquisition units, posture acquisition units, and positioning units are all disposed on the animal behavior correction device. The animal behavior correction device is worn on the animal during operation. For example, the animal behavior correction device can be worn on the animal as a collar. For example, the animal behavior correction device can be worn on the animal as clothing. The posture acquisition unit can be a device with inertial measurement capabilities, which can collect the animal's posture data, such as acceleration and / or angular velocity.

[0022] Step 12: Perform behavior recognition on the behavior data to obtain the target behavior.

[0023] In some embodiments, behavioral data can be compared with behavioral template data to obtain the target behavior. For example, the behavior could be running, biting, urinating or defecating, etc.

[0024] Step 13: Obtain the list of prohibited behaviors corresponding to the location information.

[0025] In some embodiments, the prohibited behavior list can be set by the user. For example, the user sets the corresponding prohibited behavior list on the target device and then sends it to the animal behavior correction device through the target device. For example, the animal behavior correction device receives the prohibited behavior list sent by the target device and saves it. The target device can be a mobile terminal, server, or other device that is not an animal behavior correction device.

[0026] In some embodiments, the animal behavior correction device can automatically generate a list of prohibited behaviors based on the animal's historical behavior data. For example, if eating is detected most frequently in a certain area, while defecation is less common, then defecation can be automatically added to the prohibited behavior list for that area. That is, in some embodiments, the most frequent behaviors in each area can be detected, and the less frequent or absent behaviors can be added to the prohibited behavior list for that area.

[0027] Step 14: In response to the presence of the target behavior in the list of prohibited behaviors, correct the animal's behavior.

[0028] In some embodiments, animals can be informed through voice, vibration, or other means to change their current behavior.

[0029] In this embodiment, animal behavior data and location information are collected; behavior recognition is performed on the behavior data to obtain the target behavior; a list of prohibited behaviors corresponding to the location information is obtained; and in response to the presence of the target behavior in the list of prohibited behaviors, the animal's behavior is corrected. This not only enables timely intervention when the animal's behavior at a given location is identified as being on the list of prohibited behaviors, but also helps pet owners effectively prevent the disturbance, harm, or injury caused by the animal's inappropriate behavior at that location.

[0030] See Figure 2 , Figure 2 This is a flowchart illustrating another embodiment of the animal behavior correction method provided in this application.

[0031] The method includes:

[0032] Step 21: Collect animal behavior data and location information.

[0033] Step 21 has the same or similar technical solution as any embodiment of this application, and will not be described in detail here.

[0034] Step 22: Input the behavioral data into the neural network so that the neural network outputs the target behavior.

[0035] In some embodiments, the neural network can be trained in advance using behavioral data as a training set. The trained neural network can then perform behavioral recognition on subsequent behavioral data and output the corresponding behavior.

[0036] Step 23: Obtain the list of prohibited behaviors corresponding to the location information.

[0037] Step 23 has the same or similar technical solution as any embodiment of this application, and will not be described in detail here.

[0038] Step 24: In response to the presence of the target behavior in the list of prohibited behaviors, correct the animal's behavior.

[0039] In other embodiments, if the target behavior is not in the list of prohibited behaviors, the collection of animal behavior data and location information continues without any corresponding behavior correction operations.

[0040] In this embodiment, animal behavior data and location information are collected; the behavior data is input into a neural network to output the target behavior; a list of prohibited behaviors corresponding to the location information is obtained; and in response to the presence of the target behavior in the list of prohibited behaviors, the animal's behavior is corrected. This not only enables timely intervention when the animal's behavior at a given location is identified as being on the list of prohibited behaviors, but also helps pet owners effectively prevent the disturbance, harm, or injury caused by the animal's inappropriate behavior at that location.

[0041] See Figure 3 , Figure 3 This is a flowchart illustrating yet another embodiment of the animal behavior correction method provided in this application.

[0042] The method includes:

[0043] Step 31: Collect animal behavior data and location information.

[0044] Step 32: Perform behavior recognition on the behavior data to obtain the target behavior.

[0045] Steps 31 to 32 have the same or similar technical solutions as any embodiment of this application, and will not be described in detail here.

[0046] Step 33: Obtain the geographic region corresponding to the location information; the geographic region includes at least one of the following: dining area, rest area, and play area.

[0047] In some embodiments, corresponding geographical areas can be pre-defined in the animal behavior correction device. For example, the geographical areas may include at least one of a feeding area, a resting area, and a play area. For instance, the feeding area may contain food, water, and other items for the animal to eat in. The resting area may contain resting items for the animal to rest in. The play area may contain toys for the animal to play in.

[0048] Step 34: Obtain the list of prohibited behaviors corresponding to the geographical region; wherein, the prohibited behaviors in the list of prohibited behaviors corresponding to different geographical regions are at least partially different.

[0049] In some embodiments, each geographic area has a corresponding function to meet the corresponding animal behaviors. Similarly, each geographic area has a corresponding list of prohibited behaviors. For example, the list of prohibited behaviors for the feeding area includes urination / defecation and biting behaviors. Similarly, the list of prohibited behaviors for the resting area includes biting behaviors. That is, corresponding lists of prohibited behaviors can be set for different geographic areas according to their actual geographic locations, achieving regionalized behavior correction.

[0050] Step 35: In response to the presence of the target behavior in the list of prohibited behaviors, correct the animal's behavior.

[0051] In some embodiments, the animal behavior correction device of this application can also send animal behavior records to a terminal device; wherein the behavior records are obtained based on behavior data. In this way, users can view the corresponding behavior data of the animal through the terminal device, so as to have a more detailed understanding of the animal's behavior information.

[0052] In some embodiments, the animal behavior correction device of this application can also receive behavior correction parameters sent by a target device, which includes at least one of a terminal device, a cloud server, and an animal behavior correction device. That is, it provides multiple ways to set behavior correction parameters, allowing users to set them in various ways and improving the convenience of setting behavior correction parameters for users.

[0053] In other embodiments, if the target behavior is not in the list of prohibited behaviors, the collection of animal behavior data and location information continues without any corresponding behavior correction operations.

[0054] In this embodiment, animal behavior data and location information are collected; behavior recognition is performed on the behavior data to obtain the target behavior; the geographical area corresponding to the location information is obtained; the geographical area includes at least one of a feeding area, a resting area, and a play area; a list of prohibited behaviors corresponding to the geographical area is obtained; wherein, the prohibited behaviors in the lists of prohibited behaviors corresponding to different geographical areas are at least partially different; in response to the presence of the target behavior in the list of prohibited behaviors, the animal's behavior is corrected. This not only enables timely intervention when the animal's behavior in a given location is identified as existing in the list of prohibited behaviors, but also helps animal owners effectively prevent the disturbance, harm, or injury caused by the animal's inappropriate behavior in that location.

[0055] See Figure 4 , Figure 4 This is a schematic diagram of an embodiment of the animal behavior correction device provided in this application. The animal behavior correction device 100 includes: a wearable body 10, a behavior acquisition unit 20, a positioning unit 30, a processing unit 40, and a behavior correction unit 50.

[0056] The wearable body 10 is configured to be worn on an animal.

[0057] A behavior acquisition unit 20 is disposed on the wearable body 10 and configured to acquire animal behavior data. In some embodiments, the behavior acquisition unit 20 may include at least one of a sound acquisition unit and an inertial measurement unit. The sound acquisition unit can acquire sound data. The inertial measurement unit can acquire the animal's corresponding acceleration and angular velocity.

[0058] In some embodiments, a sound acquisition unit is disposed on the wearable body 10, and the sound acquisition unit is configured to acquire the animal's sound information. In some embodiments, the number of sound acquisition units can be multiple. Some sound acquisition units are disposed on the side of the wearable body 10 closer to the animal's body, and some sound acquisition units are disposed on the side of the wearable body 10 further away from the animal's body. That is, some sound acquisition units are disposed inward on the wearable body 10, which can mainly acquire the animal's own sound data. Some sound acquisition units are disposed outward on the wearable body 10, which can mainly acquire the sound data of the animal's environment. At that time, sound filtering technology can be used to distinguish the animal's own sound from the environmental sound.

[0059] The positioning unit 30 is disposed on the wearable body 10 and is configured to collect the animal's location information. The location collected by the positioning unit can represent the animal's location.

[0060] The processing unit 40 is disposed on the wearable body 10, coupled to the behavior acquisition unit 20 and the positioning unit 30, and is configured to perform behavior recognition on the behavior data, obtain the target behavior, and obtain the list of prohibited behaviors corresponding to the location information.

[0061] The behavior correction unit 50 is disposed on the wearable body 10 and coupled to the processing unit 40, and is configured to correct the behavior of the animal in response to the presence of a target behavior in the prohibited behavior list.

[0062] In some embodiments, the behavior correction unit 50 can correct the animal's behavior through voice, vibration, or other means to change the animal's current behavior.

[0063] In some embodiments, the behavior correction unit 50 includes at least one of a sound-generating unit, a vibration unit, and a static correction unit. That is, the sound-generating unit can generate corresponding sound information to correct the animal's behavior, thereby causing the animal to change its current behavior. The vibration unit can generate corresponding vibration information to correct the animal's behavior, thereby causing the animal to change its current behavior. The static correction unit can generate corresponding micro-stimulatory currents to correct the animal's behavior, thereby causing the animal to change its current behavior.

[0064] In some embodiments, the processing unit 40 is further configured to input behavioral data into a neural network so that the neural network outputs the identified target behavior.

[0065] In some embodiments, the processing unit 40 is further configured to obtain a geographic region corresponding to the location information; the geographic region includes at least one of a dining area, a rest area, and a play area; and obtain a list of prohibited behaviors corresponding to the geographic region; wherein the prohibited behaviors in the lists of prohibited behaviors corresponding to different geographic regions are at least partially different.

[0066] In some embodiments, the behavior acquisition unit 20 includes at least one of a sound acquisition unit and a posture acquisition unit.

[0067] In some embodiments, the animal behavior correction device 100 further includes: a communication unit (not shown), disposed on the wearable body, coupled to a processing unit, and configured to send animal behavior records to a terminal device; wherein the behavior records are obtained based on behavior data.

[0068] In some embodiments, the communication unit is further configured to receive behavior correction parameters sent by a target device, which includes at least one of a terminal device, a cloud server, and an animal behavior correction device.

[0069] In some embodiments, the animal behavior correction device 100 further includes a power module (not shown). The power module is disposed on the wearable body 10 and is configured to provide electrical power to the animal behavior correction device 100, such as being coupled (electrically connected) to the behavior acquisition unit 20, the positioning unit 30, the processing unit 40, and the behavior correction unit 50.

[0070] In other embodiments, the power module provides power to all electrical-required hardware in the animal behavior correction device 100.

[0071] The aforementioned animal behavior correction device 100 can exist in the form of a collar or in the form of clothing.

[0072] In some embodiments, the animal behavior correction device 100 described above may be a smart electronic collar.

[0073] In some embodiments, the animal behavior correction device 100 described above may include the following main components: a sound acquisition unit, an inertial measurement unit, a positioning unit 30, a sound generation unit, a vibration unit, a static correction unit, a processing unit 40, a power supply module, and a wireless communication module. The following description uses a smart electronic collar for canine pets as an example of the animal behavior correction device 100:

[0074] The sound acquisition unit may include a microphone. The microphone is used to collect sound signals from the canine pet and its surrounding environment, such as barking, biting sounds, growling sounds indicating an impending attack, and growling or hissing sounds during a fight. This information is used to identify or assist in identifying behaviors such as barking, chewing on furniture, pre-aggression, or aggression. The microphone converts the sensed sound signals into electrical signals, which are then transmitted to the internal processing unit 40 for processing.

[0075] The inertial measurement unit may include an IMU (Inertial Measurement Unit) sensor. The IMU sensor includes a three-axis accelerometer and a three-axis gyroscope sensor, which collects acceleration and angular velocity signals for various postures and behaviors to identify the postures and behaviors of canine pets, such as potty training postures, pre-aggression postures, walking, running, jumping, and digging. The sensor converts the sensed acceleration and angular velocity signals into electrical signals and transmits them to the processing unit 40.

[0076] The positioning unit 30 may include a GNSS (Global Navigation Satellite System). The GNSS can distinguish between indoor and outdoor environments by detecting satellite signals (different virtual fences can be set, with different behaviors corresponding to different virtual fences), and monitor the canine pet's location and speed outdoors to identify or assist in identifying behaviors such as aggression and digging. The GNSS transmits the monitored location and speed data to the processing unit 40.

[0077] The vibration unit is controlled by the processing unit 40. If set to vibration alert mode, when the processing unit 40 detects that a canine pet is barking excessively, chewing furniture, digging, or attacking, it controls the vibration unit to vibrate, promptly stopping the pet's undesirable behavior. The vibration intensity and duration can also be set and adjusted within the system device.

[0078] The sound-emitting unit may include a speaker and is controlled by the processing unit 40. If set to sound alert mode, when the processing unit 40 detects that the pet is barking excessively, chewing furniture, digging, or attacking, the sound-emitting unit will emit a pre-recorded warning sound to stop the pet's undesirable behavior. This sound can attract the pet's attention and make it realize that its behavior is unacceptable, thus stopping the inappropriate behavior. The type, volume, and duration of the sound can also be set and adjusted within the system device.

[0079] The static correction unit is controlled by the processing unit 40. If the electric shock mode is enabled, when the processing unit 40 detects aggressive behavior in the canine pet, it triggers the electric shock module to generate an electric shock, promptly stopping the pet's aggressive behavior. The static correction unit generates a weak but sufficiently uncomfortable electric shock pulse, causing discomfort and thus stopping the current aggressive behavior. The intensity and duration of the electric shock pulse can be adjusted in the system device according to factors such as the pet's species and size to ensure effective prevention of pet behavior without causing harm to the pet.

[0080] The processing unit 40 can be a microprocessor, serving as the core control unit of the smart wearable device. It receives electrical signals and data from the microphone, IMU sensor, and GNSS, and analyzes and processes these signals and data using built-in algorithms. Based on machine learning or deep learning methods, it identifies irregular postures and behaviors of canine pets and promptly controls the sound generation unit, vibration unit, and static correction unit to stop them. For example, when the three-axis accelerometer and three-axis gyroscope detect low-frequency and low-amplitude fluctuations, and the microphone picks up a low growl, it can be determined that the canine pet is in a slow-moving, pre-aggressive posture, requiring timely control of the vibration module, sound warning module, or electric shock module to generate corresponding warnings to stop it. Similarly, when the three-axis accelerometer and three-axis gyroscope detect intermittent fluctuations, and the microphone picks up chewing sounds, and GNSS detects that the pet is indoors, it can be determined that the canine pet is chewing on furniture (eating is only permitted within a virtual enclosure set up in the feeding area), requiring timely control of the sound generation unit, vibration unit, and / or static correction unit to generate corresponding warnings to stop it (behavior correction). For example, if the three-axis accelerometer and gyroscope sensors show significant fluctuations, and the microphone picks up loud barks, scolding, or crying sounds, it can be determined that the canine pet is engaging in aggressive behavior. In this case, the sound-generating unit, vibration unit, and / or static correction unit should be activated to generate corresponding warnings to stop the behavior. Similarly, if the three-axis accelerometer and gyroscope sensors show intermittent high-frequency fluctuations, and the microphone picks up barking sounds from the pet, it can be determined that the canine pet is barking indiscriminately. In this case, the sound-generating unit, vibration unit, and / or static correction unit should be activated to generate corresponding warnings to stop the behavior. Finally, if the three-axis accelerometer and gyroscope sensors detect that the canine pet is in a defecation or urination posture, and GNSS detects that the pet is indoors, it can be determined that the canine pet is urinating or urinating inappropriately. In this case, the sound-generating unit, vibration unit, and / or static correction unit should be activated to generate corresponding warnings to stop the behavior, and the pet owner should be notified to take the pet outdoors for a walk to allow it to relieve itself properly.

[0081] Power module: Provides power to various electrical functional modules in the system device, including microphones, sensors, microprocessors, sound units, vibration units, and static correction units. The power module 60 can use a rechargeable battery, such as a lithium-ion battery, for user convenience and charging. The system device also features a power indicator light to display the remaining battery level and remind the user to charge it in time.

[0082] Wireless communication module: Options include Bluetooth, Wi-Fi, or 4G / 5G wireless communication technologies, enabling the system to connect to the pet owner's smartphone or other smart devices for short-range or long-range communication. Through a mobile application, the owner can monitor the system's operation, view pet behavior records, set various system parameters such as vibration intensity, electric shock intensity, and sound type, and receive notifications of abnormal pet behavior to promptly understand the pet's situation and take appropriate action.

[0083] The beneficial effects are as follows:

[0084] The animal behavior correction device 100 of this application can automatically identify and stop irregular behaviors based on location and scene (indoor or outdoor, different virtual fences), and promptly provide the pet with information such as vibration, sound warning or electric shock to stop the behavior. This effectively improves the harmony between the animal and its living environment, without requiring constant supervision and intervention from the owner, and greatly reduces the unnecessary time and mental burden on the pet owner in the process of raising the animal.

[0085] Remote monitoring: The wireless communication module of this animal behavior correction device 100 can be remotely connected to mobile terminal applications. Pet owners can not only remotely monitor and understand their pets' behavior and status in real time, but also view the animal's historical behavior records to effectively grasp the trend of changes in animal behavior.

[0086] In summary, the animal behavior correction method and device provided in this application collect animal behavior data and location information; perform behavior recognition on the behavior data to obtain the target behavior; obtain a list of prohibited behaviors corresponding to the location information; and correct the animal's behavior in response to the presence of the target behavior in the list of prohibited behaviors. This not only enables timely intervention when the animal's behavior at a given location is identified as being on the list of prohibited behaviors, but also helps animal owners effectively prevent the disturbance, harm, or injury caused by the animal's inappropriate behavior at that location.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of circuits or units is merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

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

[0089] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit 30, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0090] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural changes made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for correcting animal behavior, characterized in that, The method includes: Collect animal behavior data and location information; The behavioral data is used for behavior recognition to obtain the target behavior; Obtain the list of prohibited behaviors corresponding to the location information; In response to the presence of the target behavior in the list of prohibited behaviors, the animal's behavior is corrected.

2. The animal behavior correction method according to claim 1, characterized in that, The step of performing behavior recognition on the behavior data to obtain the target behavior includes: The behavioral data is input into a neural network so that the neural network outputs the target behavior.

3. The animal behavior correction method according to claim 1, characterized in that, The step of obtaining the prohibited behavior list corresponding to the location information includes: Obtain the geographical region corresponding to the location information; the geographical region includes at least one of a dining area, a rest area, and a play area. Obtain the list of prohibited behaviors corresponding to the geographical region; wherein, the prohibited behaviors in the list of prohibited behaviors corresponding to different geographical regions are at least partially different.

4. The animal behavior correction method according to any one of claims 1-3, characterized in that, The behavioral data includes at least one of sound data and posture data.

5. The animal behavior correction method according to any one of claims 1-3, characterized in that, The list of prohibited behaviors is set in at least one of the following ways: Receive and save the list of prohibited behaviors sent by the target device; The list of prohibited behaviors is automatically generated based on the animal's historical behavioral data.

6. An animal behavior correction device, characterized in that, The animal behavior correction device includes: The wearable body is configured to be worn on an animal; A behavior acquisition unit, disposed on the wearable body, is configured to collect behavioral data of the animal; A positioning unit, disposed on the wearable body, is configured to collect the location information of the animal; A processing unit, disposed on the wearable body and coupled to the behavior acquisition unit and the positioning unit, is configured to perform behavior recognition on the behavior data to obtain the target behavior and to obtain a list of prohibited behaviors corresponding to the location information; A behavior correction unit, disposed on the wearable body and coupled to the processing unit, is configured to correct the behavior of the animal in response to the presence of the target behavior in the prohibited behavior list.

7. The animal behavior correction device according to claim 6, characterized in that, The processing unit is further configured to input the behavioral data into a neural network so that the neural network outputs the identified target behavior.

8. The animal behavior correction device according to claim 7, characterized in that, The processing unit is further configured to obtain the geographical region corresponding to the location information; the geographical region includes at least one of a dining area, a rest area, and a play area; obtain the list of prohibited behaviors corresponding to the geographical region; wherein the prohibited behaviors in the list of prohibited behaviors corresponding to different geographical regions are at least partially different.

9. The animal behavior correction device according to any one of claims 6-8, characterized in that, The behavior acquisition unit includes at least one of a sound acquisition unit and a posture acquisition unit.

10. The animal behavior correction device according to any one of claims 6-8, characterized in that, The animal behavior correction device further includes: a communication unit disposed on the wearable body, coupled to the processing unit, and configured to send the animal's behavior records to a terminal device; wherein the behavior records are obtained based on the behavior data.

11. The animal behavior correction device according to claim 10, characterized in that, The communication unit is also configured to receive behavior correction parameters sent by a target device, which includes at least one of a terminal device, a cloud server, and an animal behavior correction device.

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