Animal behavior correction method, apparatus, and system

Abstract

The application discloses an animal behavior correction method, device and system. The method comprises the following steps: collecting emotional information of an object in a preset range of an animal, the emotional information comprising at least one of sound information and image information; determining an emotional state according to the emotional information, determining the object with the emotional state of fear as a target object, and starting a far-away mode based on the target object; and when the distance between the target object and the animal is within a preset threshold, correcting the behavior of the animal. In this way, the behavior of the animal can be actively corrected, and the animal can be guided to move away from the target object.

Description

Technical Field

[0001] This application relates to the field of animal wearable technology, and in particular to methods, devices and systems for correcting animal behavior. Background Technology

[0002] As people's love for animals grows, more and more people are choosing to keep pets, such as cats and dogs. However, for those who are afraid of animals like dogs and cats, maintaining a certain distance is a common self-protection strategy.

[0003] Currently, related technologies achieve a "stay-away mode" by installing an application (app) on the user's device, allowing them to avoid close contact with dogs by operating the device. However, this approach requires the user to install a specific app, increasing operational complexity, resulting in a poor user experience, and potentially failing in emergency situations. Summary of the Invention

[0004] The purpose of this application is to provide an animal behavior correction method, device, and system that can actively correct animal behavior and guide animals away from target objects.

[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 emotional information of objects within a preset range of the animal, the emotional information including at least one of sound information and image information; determining the emotional state based on the emotional information, identifying objects with the emotional state of fear as target objects, and activating a distance-away mode based on the target objects; and correcting the animal's behavior when the distance between the target objects and the animal is within a preset threshold.

[0007] Secondly, embodiments of this application provide an animal behavior correction device, comprising: a wearable body configured to be worn on an animal; a data acquisition unit disposed on the wearable body and configured to acquire emotional information of objects within a preset range of the animal, the emotional information including at least one of sound information and image information; a processing unit disposed on the wearable body and coupled to the data acquisition unit, configured to determine an emotional state based on the emotional information, identify objects with a fearful emotional state as target objects, and activate a distance-away mode based on the target objects; a positioning and ranging unit disposed on the wearable body and coupled to the processing unit, configured to measure the distance between the target objects and the animal; and a behavior correction unit disposed on the wearable body and coupled to the processing unit, configured to correct the animal's behavior when the distance is within a preset threshold.

[0008] Thirdly, embodiments of this application provide an animal behavior correction system, including the animal behavior correction device and traction assembly as described in the second aspect above.

[0009] In this embodiment, emotional information of objects within a preset range of the animal is collected. The emotional information includes at least one of sound information and image information. The emotional state is determined based on the emotional information, and the object in the emotional state of fear is identified as the target object. A distance-away mode is activated based on the target object. When the distance between the target object and the animal is within a preset threshold, the animal's behavior is corrected. By actively correcting the animal's behavior and guiding it away from the target object, a safe distance is maintained between the animal and the target object, enhancing the target object's sense of security and alleviating its fear. This improves the portability and practicality of the corresponding animal behavior correction device, significantly enhancing its intelligence level and user experience. Attached Figure Description

[0010] 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:

[0011] Figure 1 This is a flowchart illustrating an embodiment of the animal behavior correction method provided in this application;

[0012] Figure 2 This is a flowchart illustrating another embodiment of the animal behavior correction method provided in this application;

[0013] Figure 3 This is a schematic diagram of an embodiment of the animal behavior correction device provided in this application;

[0014] Figure 4 This is a schematic diagram of an embodiment of the animal behavior correction system provided in this application. Detailed Implementation

[0015] 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.

[0016] 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.

[0017] The animal behavior correction method, apparatus, and system provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0018] 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:

[0019] Step 11: Collect emotional information of the animals within a preset range. The emotional information includes at least one of sound information and image information.

[0020] In some embodiments, the acquisition unit in the animal behavior correction device can be used to acquire emotional information of an object within a preset range of the animal. The animal behavior correction device is worn on the animal.

[0021] In some embodiments, the acquisition unit may include at least one sound acquisition unit and an image acquisition unit. The sound acquisition unit can acquire sound information of objects within a preset range of the animal, and the image acquisition unit is configured to acquire image information of objects within the preset range of the animal.

[0022] In some embodiments, the sound acquisition unit and the image unit can be configured in combination to achieve synchronization of sound and image.

[0023] It is understandable that an object's voice and form (such as facial features and posture) can express corresponding emotions, such as joy, anger, sorrow, happiness, fear, and terror.

[0024] Step 12: Determine the emotional state based on the emotional information, identify the object whose emotional state is fear as the target object, and activate the distance mode based on the target object.

[0025] In some embodiments, a corresponding emotion recognition model can be used to identify the emotion information and thus obtain the corresponding emotional state.

[0026] In one application scenario, there is only one object within the preset range of the animal. Therefore, the identified emotional state corresponds to the object. When the emotional state is fear, it means that the object is afraid of the animal, and the distance mode is activated.

[0027] In another application scenario, only a few objects exist within the animal's preset range, and the identified emotional state may correspond to multiple objects. Therefore, the target object can be further determined from these multiple objects by combining sound and image information. For example, the sound information can be used to identify an object that is afraid, and then the actual location of the afraid object can be determined by combining image information. The object with the emotional state of fear can then be identified as the target object, and a distance mode can be activated based on the target object.

[0028] Step 13: When the distance between the target object and the animal is within a preset threshold, correct the animal's behavior.

[0029] In some embodiments, after the distance-away mode is initiated, the distance between the target object and the animal can be determined. When the distance is within a preset threshold, the animal's behavior is corrected. This can be done by informing the animal through voice, vibration, or other means to change its current behavior and move away from the target object. In other words, the distance between the target object and the animal is increased.

[0030] In some embodiments, different levels of behavioral correction can be set according to the degree of fear. For example, a first level of fear is set with a first level of behavioral correction, a second level of fear with a second level of behavioral correction, and a third level of fear with a third level of behavioral correction. The level of fear is greater than that of level two, and greater than that of level three. The corrective force of the first level of behavioral correction is greater than that of the second level, and greater than that of the third level.

[0031] In this embodiment, emotional information of objects within a preset range of the animal is collected. The emotional information includes at least one of sound information and image information. The emotional state is determined based on the emotional information, and the object in the emotional state of fear is identified as the target object. A distance-away mode is activated based on the target object. When the distance between the target object and the animal is within a preset threshold, the animal's behavior is corrected. By actively correcting the animal's behavior and guiding it away from the target object, a safe distance is maintained between the animal and the target object, enhancing the target object's sense of security and alleviating its fear. This improves the portability and practicality of the corresponding animal behavior correction device, significantly enhancing its intelligence level and user experience.

[0032] See Figure 2 , Figure 2 This is a flowchart illustrating another embodiment of the animal behavior correction method provided in this application.

[0033] The method includes:

[0034] Step 21: Collect emotional information of the animals within a preset range. The emotional information includes at least one of sound information and image information.

[0035] Step 22: Determine the emotional state based on the emotional information, identify the object whose emotional state is fear as the target object, and activate the distance mode based on the target object.

[0036] Step 23: When the distance between the target object and the animal is within a preset threshold, correct the animal's behavior.

[0037] Steps 21 to 23 have the same or similar technical solutions as any embodiment of this application, and will not be described in detail here.

[0038] Step 24: Collect new emotional information of the target object within the preset range of the animal, determine the current emotional state based on the new emotional information, and turn off the distance mode when the current emotional state is not fear.

[0039] After correcting the animal's behavior, to ensure the animal has responded, new emotional information about the target within a preset range can be collected again. Based on this new information, the animal's current emotional state is determined. If the current emotional state is not fear, the distance mode is turned off. If the current emotional state is still fear, behavioral correction continues.

[0040] In some embodiments, even if the current emotional state is not fear, there may still be inaccurate new emotional information collected. For example, when an animal responds to behavioral correction and changes its posture, the target object may not be present in the collected image information. Therefore, it is impossible to accurately determine the new emotional information of the target object from the image information, and the current emotional state can only be identified from sound information, etc., resulting in inaccurate new emotional information collected.

[0041] Based on this, this application proposes acquiring the animal's postural information when the current emotional state is not fearful; and disabling the avoidance mode when the postural information indicates that the animal is moving away from the target object. That is, when the current emotional state is not fearful, the animal's postural information is further collected to identify the animal's posture and determine whether the animal has responded to behavioral correction. If the postural information indicates that the animal is moving away from the target object, the avoidance mode is disabled; if the postural information indicates that the animal is not moving away from the target object, behavioral correction continues to guide the animal away from the target object.

[0042] In this embodiment, emotional information of objects within a preset range of the animal is collected. The emotional information includes at least one of sound information and image information. The emotional state is determined based on the emotional information, and the object in the emotional state of fear is identified as the target object. A distance-away mode is activated based on the target object. When the distance between the target object and the animal is within a preset threshold, the animal's behavior is corrected. By actively correcting the animal's behavior and guiding it away from the target object, a safe distance is maintained between the animal and the target object, enhancing the target object's sense of security and alleviating its fear. This improves the portability and practicality of the corresponding animal behavior correction device, significantly enhancing its intelligence level and user experience.

[0043] Furthermore, by repeatedly collecting emotional information, it is ensured that the animal responds to behavioral correction. When the animal responds and is not in a fearful emotional state, the distance mode is turned off, thereby reducing the power consumption of the corresponding animal behavior correction device and increasing its usage time. Even when the animal does not respond to behavioral correction, behavioral correction continues, guiding the animal away from the target object.

[0044] See Figure 3 , Figure 3 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 main body 10, a data acquisition unit 20, a processing unit 30, a positioning and ranging unit 50, and a behavior correction unit 40.

[0045] The wearable body 10 is configured to be worn on an animal. In some embodiments, the wearable body 10 may be an animal collar, animal clothing, or other wearable items. A user can connect to the wearable body 10 via a traction component to control and leash the animal when the wearable body 10 is worn on it.

[0046] The acquisition unit 20 is disposed on the wearable body 10 and is configured to acquire emotional information of objects within a preset range of the animal. The emotional information includes at least one of sound information and image information.

[0047] In some embodiments, the acquisition unit 20 includes a sound acquisition unit. The sound acquisition unit is disposed on the wearable body 10 and configured to acquire sound information of objects within a preset range of the animal. 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 inwards on the wearable body 10, primarily acquiring the animal's own sound data. Some sound acquisition units are disposed outwards on the wearable body 10, primarily acquiring sound data of the animal's environment. Sound filtering technology can then be used to distinguish between the animal's own sounds and environmental sounds.

[0048] In some embodiments, the acquisition unit 20 includes an image acquisition unit. The image acquisition unit is disposed on the wearable body 10 and configured to acquire image information of objects within a preset range of the animal. In some embodiments, the number of image acquisition units can be multiple. The image acquisition units can be distributed on the side of the wearable body 10 away from the animal's body. That is, the image acquisition units can primarily acquire image information of objects within a preset range of the animal. For example, 360-degree image information can be acquired.

[0049] In some embodiments, the acquisition unit 20 includes a sound acquisition unit and an image acquisition unit, which are disposed on the wearable body 10.

[0050] The processing unit 30 is located on the wearable body 10 and coupled to the acquisition unit 20. It is configured to determine the emotional state based on the emotional information, identify the object with the emotional state of fear as the target object, and activate the distance mode based on the target object.

[0051] In some embodiments, the processing unit 30 is configured to receive sound information, identify the sound information, obtain the emotional state corresponding to the sound information, identify the object whose emotional state is fear as the target object, and activate the distance mode based on the target object.

[0052] In some embodiments, the processing unit 30 is configured to receive image information, identify the image information, obtain the emotional state corresponding to the image information, determine the object with the emotional state of fear as the target object, and activate the distance mode based on the target object.

[0053] In some embodiments, the processing unit 30 is configured to receive sound information and image information, identify the sound information and image information, obtain the corresponding emotional state, determine the object with the emotional state of fear as the target object, and activate the distance mode based on the target object.

[0054] The processing unit 30 can be equipped with a corresponding recognition algorithm, which is used to identify sound information and / or image information, thereby identifying the target object corresponding to the sound data and the target object corresponding to the image data.

[0055] A positioning and ranging unit 50 is disposed on the wearable body 10 and coupled to the processing unit 30, and is configured to measure the distance between the target object and the animal. In some embodiments, the positioning and ranging unit 50 may be a depth image acquisition unit 20, using the depth information of the image to allow the processing unit 30 to measure the distance between the target object and the animal. In other embodiments, the positioning and ranging unit 50 may be a laser ranging unit, using point cloud data acquired by the laser ranging unit to measure the distance between the target object and the animal.

[0056] The behavior correction unit 40 is disposed on the wearable body 10 and coupled to the processing unit 30, and is configured to correct the behavior of the animal when the distance is within a preset threshold.

[0057] In one application scenario, the target mentioned in the above embodiments can be a human and / or other non-human animals. During the activity of an animal wearing the animal control device 100 of this application, the acquisition unit 20 collects sound and / or image information of the animal's environment. Then, the processing unit 30 receives the sound and image information, identifies the sound and image information, and obtains the corresponding emotional state. Objects with a fearful emotional state are identified as target objects, and a distance mode is activated based on the target object.

[0058] In this embodiment, the acquisition unit 20 collects emotional information of objects within a preset range of the animal. The emotional information includes at least one of sound information and image information. The processing unit 30 determines the emotional state based on the emotional information, identifies objects with a fearful emotional state as target objects, and activates a distance-away mode based on the target object. The behavior correction unit 40 corrects the animal's behavior when the distance between the target object and the animal is within a preset threshold. By actively correcting the animal's behavior and guiding it away from the target object, a safe distance is maintained between the animal and the target object, enhancing the target object's sense of security and alleviating its fear. This improves the portability and practicality of the corresponding animal behavior correction device 100, significantly enhancing the intelligence level and user experience of the animal behavior correction device 100.

[0059] In some embodiments, the processing unit 30 can also determine the positional relationship (such as distance) between the animal control device 100 and the target object based on the sound intensity corresponding to the sound information, and correct the animal's behavior when the positional relationship meets the requirements.

[0060] In some embodiments, the image acquisition unit is configured to be rotatable, meaning the field of view for image acquisition can be changed. When the processing unit 30 receives image information and identifies it, it obtains the corresponding emotional state. During the image information identification process, when human body data is detected, it further identifies whether facial features exist in the image information. If so, it further identifies the expression corresponding to the facial features and obtains the corresponding emotional state based on the expression. If not, the processing unit 30 can adjust the rotation angle of the image acquisition unit according to the human body data features in the image information, thereby allowing facial data to appear in the next image information. That is, it controls the image acquisition unit to acquire an image information containing a face, then identifies the expression corresponding to the facial features, and obtains the corresponding emotional state based on the expression. For example, if the identified expression indicates that the target object is in a state of fear or apprehension, then the distance mode is activated. If the identified expression indicates that the target object is in a state of happiness or excitement, then the distance mode can be kept off.

[0061] In some embodiments, when the processing unit 30 receives sound information and image information, and identifies the sound information and image information, it obtains the corresponding emotional state. When animal data is identified during the identification of sound information and image information, the animal's body size in the image information is further identified, and the animal's emotion is identified through the animal's facial features and sound information. Based on the emotion, a decision is made on whether to activate the avoidance mode. The sound information may contain the sounds of both the animal and the target animal. That is, the method described in this application can guide the animal away from the target animal, avoiding conflict between animals and reducing danger.

[0062] In some embodiments, due to the variable nature of the environment, the preset threshold can be dynamically adjusted. For example, the processing unit 30 is configured to receive ranging data collected by the positioning and ranging unit 50, determine the size of the environment in which the animal is located based on the ranging data, and adjust the preset threshold according to the size of the environment. For example, the smaller the environment, the smaller the preset threshold. That is, the preset threshold is positively correlated with the size of the environment. In a large environment, the preset threshold can be set larger, so that behavioral correction can be performed on the animal at a greater distance, thereby improving the success rate of behavioral correction and reducing the fear of the target object in advance.

[0063] In some embodiments, the processing unit 30 is configured to receive new emotional information of the target object within a preset range of the animal collected by the collection unit 20 after the animal's behavior is corrected, determine the current emotional state based on the new emotional information, and turn off the distance mode when the current emotional state is not fear, so as to continuously monitor the actual situation of the animal.

[0064] In some embodiments, the acquisition unit 20 further includes a posture acquisition unit (not shown). The posture acquisition unit is disposed on the wearable body 10, coupled to the processing unit 30, and configured to acquire the animal's posture information. The processing unit 30 is configured to turn off the distance mode when the current emotional state is not fear and the posture information indicates that the animal is moving away from the target object.

[0065] For example, processing unit 30 can know the animal's movement behavior based on posture information. If the animal moves due to behavior correction, the corresponding movement posture can be detected. Processing unit 30 can then determine that the animal has moved away from the target object due to behavior correction, and can therefore turn off the distance mode and stop behavior correction. If the animal is not affected by behavior correction and does not move away, the corresponding movement posture can be detected. Processing unit 30 can then determine that the animal is not affected by behavior correction and can continue behavior correction. In some embodiments, the intensity of behavior correction can be increased.

[0066] In some embodiments, the behavior correction unit 40 includes at least one of a sound-generating unit, a vibration unit, and a static correction unit. Specifically, the sound-generating unit can generate corresponding sound information to correct the animal's behavior and guide it away from the target object. The vibration unit can generate corresponding vibration information to correct the animal's behavior and guide it away from the target object. The static correction unit can generate corresponding minute stimulating currents to correct the animal's behavior and guide it away from the target object.

[0067] In some embodiments, the processing unit 30 can communicate with the traction component. The processing unit 30 is configured to send an adjustment command to the traction component when the distance mode is activated, causing the traction component to adjust its traction length; wherein the traction component is connected to the wearable body 10. That is, when the animal behavior correction device 100 is used in conjunction with the traction component, when the distance mode is activated, the processing unit 30 can send an adjustment command to the traction component to adjust its traction length. By adjusting the traction length, the animal is moved away from the target object, and with the traction length shortened, the user can better control the animal.

[0068] See Figure 4 , Figure 4 This is a schematic diagram of an embodiment of the animal behavior correction system provided in this application. The animal behavior correction system 300 includes an animal behavior correction device 100 and a traction assembly 200.

[0069] In some embodiments, the traction component 200 may be an item such as a traction rope that can perform a traction function.

[0070] In some embodiments, the animal behavior correction device 100 described above can be a smart electronic collar. This smart electronic collar includes a sound acquisition unit, a visual recognition unit, a positioning and ranging unit 50, a multimodal fusion module, a control and drive unit, a drive component, and a dynamic distance adjustment module. The visual recognition unit is equivalent to the image acquisition unit described above. The sound recognition unit, multimodal fusion module, control and drive unit, and dynamic distance adjustment module can be integrated into the processing unit 30 described above. The drive component is equivalent to the behavior correction unit 40 described above.

[0071] The sound acquisition unit can be equipped with a high-sensitivity microphone or microphone array, featuring noise reduction capabilities and a frequency response range of 85Hz-255Hz, specifically designed for acquiring human speech signals. Its function is to acquire ambient sound in real time, filter background noise, and transmit the processed sound signal to the voice recognition unit.

[0072] The visual recognition unit can be equipped with a miniature wide-angle camera that supports high frame rate video capture, and can be combined with an infrared sensor to enhance recognition capabilities in low-light conditions. Its function is to combine facial recognition and expression recognition technologies to analyze the fearful facial expressions (such as frowning, opening the mouth, and dilating the pupils) of a person who is afraid, as well as changes in body posture such as quickly retreating or turning around.

[0073] The voice recognition unit can use deep learning-based convolutional neural networks (CNNs) or recurrent neural networks (RNNs) to analyze the collected sound signals in real time and match them with a pre-stored database of frightened voice features. Its function is to identify the characteristics of frightened voices. When the matching degree reaches a set threshold (e.g., 80%), the recognition result is sent to the positioning and ranging unit 50 and the control unit.

[0074] The positioning and ranging unit 50 can use ultra-wideband (UWB) technology or Bluetooth AoA (angle of arrival) technology to determine the relative position between the pet and the person who is afraid, and combine it with laser ranging or ultrasonic ranging to achieve high-precision distance measurement. Its functions include an indoor positioning accuracy of ≤2 meters, an outdoor accuracy of ≤5 meters, a ranging error of ±0.3 meters, and a real-time update frequency of ≥1Hz.

[0075] Among them, the multimodal fusion module can integrate data such as sound, vision, and positioning and ranging based on the Transformer deep learning model to comprehensively determine whether there is a fear of people and activate the distance mode.

[0076] The control and drive unit can be a low-power microcontroller (such as the STM32 series) with powerful computing capabilities, connected to the sound recognition unit, visual recognition unit, and positioning and ranging unit 50. Its function is to issue drive commands to the pet behavior control components based on the multimodal fusion results.

[0077] The drive component can provide vibration alerts, sound prompts, etc.

[0078] Vibration alert: The collar emits a gentle vibration to the pet via a small built-in motor, guiding it away from people it fears.

[0079] Sound cues: A buzzer emits a sound at a specific frequency to guide the pet to change direction.

[0080] Intelligent leash device: If a pet wears an intelligent leash device (leash assembly), the system will automatically adjust the length and tension of the leash to limit the pet's proximity to people who are afraid of it.

[0081] The dynamic distance adjustment module is designed to combine environmental perception technology (such as lidar) to analyze the size of the surrounding space in real time and dynamically adjust the safe distance between the pet and the person who is afraid (such as within 1-5 meters).

[0082] The overall workflow is as follows:

[0083] 1: Sound acquisition and visual capture.

[0084] The sound acquisition unit and the visual recognition unit start up simultaneously to acquire environmental sound and video information in real time.

[0085] For example, a sound acquisition unit and a visual recognition unit can collect real-time data about the environment, acquiring surrounding sound signals and video images, respectively. The sound acquisition unit is responsible for capturing specific voice features; the visual recognition unit uses a camera to capture images, including the facial expressions, movements, and location information of the target object.

[0086] 2. Multimodal analysis and identification.

[0087] The collected sound signals are compared with a pre-stored database of voice features of people who are afraid, and the fearful expressions and body features in the visual data are analyzed to make a comprehensive judgment on whether there are people who are afraid.

[0088] For example, the sound acquisition unit transmits the acquired speech data to the sound recognition unit, which uses algorithms such as convolutional neural networks (CNN) or long short-term memory networks (LSTM) to extract features and match patterns in the speech signal, determine whether there is a specific speech signal that frightens people, and output the matching result.

[0089] The visual recognition unit processes the acquired video images and analyzes whether the target object matches the facial expressions (such as frowning, dilated pupils, and open mouth) or behavioral characteristics (such as backing away or turning around quickly) of a person who is afraid. It outputs the recognition results and related location information.

[0090] 3. Positioning, ranging, and distance judgment.

[0091] If recognition is successful, the positioning and ranging unit 50 is activated to measure the relative position and distance between the pet and the person who is afraid in real time. The multimodal fusion module receives the results from the sound recognition unit and the visual recognition unit, and combines them with the spatial information from the positioning and ranging unit 50 to comprehensively determine whether a person who is afraid exists.

[0092] If the multimodal data matches the characteristics of a fearful person, the "avoidance mode" is triggered.

[0093] The positioning and ranging unit 50 can also accurately measure the relative position and distance between the pet and the person who is afraid using Ultra Wide Band (UWB) or Bluetooth AoA (Angle of Arrival) technology. It determines the size of the surrounding space based on the environmental perception module and dynamically adjusts the safe distance (e.g., 1 to 5 meters).

[0094] 4. Distance mode trigger.

[0095] When the distance between the animal and the person who is afraid is less than the preset safe distance, the control drive unit 40 activates the drive component according to the judgment result to guide the pet away from the person who is afraid.

[0096] Commands can be used to guide pets to maintain a safe distance from people who are afraid of them, such as through vibration, motor traction, or sound cues.

[0097] The driving components of the smart electronic collar (such as vibration motors and buzzers) execute control signals to guide the pet's behavior in real time, ensuring that it gradually moves away from people who are afraid of it.

[0098] If the pet is not wearing a leash, the system reinforces the pet's behavior through repeated vibrations or sound cues.

[0099] 5. Continuous monitoring and feedback.

[0100] It operates continuously, dynamically adjusts the safe distance, and provides status information to the owner via a collar indicator or mobile terminal.

[0101] The system continuously monitors the location of the person who is afraid and the pet's status in real time. If the person is still afraid within a safe distance, the system repeatedly guides the pet away and sends status information back to the owner's terminal.

[0102] The main advantages of this application are as follows:

[0103] 1. Convenience: No need to worry about people installing additional applications, improving the user experience.

[0104] 2. High precision: Combining multimodal data enables accurate identification and real-time response.

[0105] 3. Intelligent: Dynamically adjusts the safety distance to meet the needs of different scenarios.

[0106] 4. Privacy Protection: All data is processed locally to ensure that users' privacy is not violated.

[0107] Through the above steps, the entire process of detecting fear of people and guiding pet behavior is controlled, ensuring the system operates efficiently and stably.

[0108] In summary, the animal behavior correction method, device, and system provided in this application collect emotional information of objects within a preset range of the animal. The emotional information includes at least one of sound information and image information. Based on the emotional information, the emotional state is determined, and the object in the emotional state of fear is identified as the target object. A distance-away mode is activated based on the target object. When the distance between the target object and the animal is within a preset threshold, the animal's behavior is corrected. By actively correcting the animal's behavior and guiding it away from the target object, a safe distance is maintained between the animal and the target object, enhancing the target object's sense of security and alleviating its fear. This improves the portability and practicality of the corresponding animal behavior correction device 100, significantly enhancing the intelligence level and user experience of the animal behavior correction device 100.

[0109] 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.

[0110] 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.

[0111] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0112] 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 emotional information of objects within a preset range of animals, wherein the emotional information includes at least one of sound information and image information; Based on the emotional information, determine the emotional state, identify the object whose emotional state is fear as the target object, and activate the distance mode based on the target object; When the distance between the target object and the animal is within a preset threshold, the animal's behavior is corrected.

2. The animal behavior correction method according to claim 1, characterized in that, After correcting the behavior of the animal, the method further includes: Collect new emotional information of the target object within a preset range of the animal, determine the current emotional state based on the new emotional information, and turn off the distance mode when the current emotional state is not fear.

3. The animal behavior correction method according to claim 2, characterized in that, When the current emotional state is not fear, the distance mode is turned off, including: When the current emotional state is not fear, obtain the animal's posture information; When the posture information indicates that the animal is moving away from the target object, the away mode is turned off.

4. 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 data acquisition unit, disposed on the wearable body, is configured to acquire emotional information of objects within a preset range of the animal, the emotional information including at least one of sound information and image information; A processing unit, disposed on the wearable body and coupled to the acquisition unit, is configured to determine the emotional state based on the emotional information, identify the object whose emotional state is fear as the target object, and activate a distance mode based on the target object. A positioning and ranging unit is disposed on the wearable body, coupled to the processing unit, and configured to measure the distance between the target object and the animal; A behavior correction unit, disposed on the wearable body and coupled to the processing unit, is configured to correct the behavior of the animal when the distance is within a preset threshold.

5. The animal behavior correction device according to claim 4, characterized in that, The acquisition unit includes at least one sound acquisition unit and an image acquisition unit. The sound acquisition unit and the image acquisition unit are disposed on the wearable body. The sound acquisition unit is configured to acquire the sound information of objects within a preset range of the animal, and the image acquisition unit is configured to acquire the image information of objects within the preset range of the animal.

6. The animal behavior correction device according to claim 4, characterized in that, The processing unit is configured to receive ranging data collected by the positioning and ranging unit, determine the size of the environmental space where the animal is located based on the ranging data, and adjust the preset threshold based on the size of the environmental space.

7. The animal behavior correction device according to claim 4, characterized in that, The processing unit is configured to, after correcting the behavior of the animal, receive new emotional information of the target object within a preset range of the animal collected by the acquisition unit, determine the current emotional state based on the new emotional information, and turn off the distance mode when the current emotional state is not fear.

8. The animal behavior correction device according to claim 7, characterized in that, The acquisition unit further includes: a posture acquisition unit, disposed on the wearable body, coupled to the processing unit, and configured to acquire the posture information of the animal; The processing unit is configured to turn off the distance mode when the current emotional state is not fear and the posture information indicates that the animal is moving away from the target object.

9. The animal behavior correction device according to claim 4, characterized in that, The behavior correction unit includes at least one of a sound generation unit, a vibration unit, and a static correction unit.

10. The animal behavior correction device according to claim 4, characterized in that, The processing unit is configured to send an adjustment command to the traction component when the distance mode is activated, so that the traction component adjusts the traction length; wherein the traction component is connected to the wearable body.

11. An animal behavior correction system, characterized in that, Includes the animal behavior correction device and traction assembly as described in any one of claims 4-10.

Images