WO2018032474A1

WO2018032474A1 - Animal mood determination method and system

Info

Publication number: WO2018032474A1
Application number: PCT/CN2016/095915
Authority: WO
Inventors: 王忠山; 胡勇
Original assignee: 深圳市沃特沃德股份有限公司
Priority date: 2016-08-18
Filing date: 2016-08-18
Publication date: 2018-02-22

Abstract

An animal mood determination method and system. The method comprises: acquiring state information of an animal (S1); and performing, according to the state information of the animal, a query in a predetermined pet mood database to obtain a mood type of the animal (S2). The animal mood determination method and system of the present invention acquire state information of an animal in real-time, and determine the mood of the animal according to the state information of the animal, thus facilitating monitoring of the animal for a user.

Description

Invention Name: Method and system for judging animal mood

Technical field

[0001] The present invention relates to the field of pet wear devices, and in particular, to a method and system for determining an animal's mood.

Background technique

[0002] With the improvement of people's living standards, there are more and more families of pets, and some families have regarded pets as a part of the family. The pet owner is looking after the pet, not only to take care of the pet's diet, but also to look after the pet's mood. According to the pet's mood, the pet owner can make corresponding countermeasures. For example, if the pet is in a bad mood, the pet owner can try to accompany the pet to amused.

[0003] Although the pet owner can understand some of the pet's habits through the pets in the long room, after all, there is a language barrier between the pets, so the pet owner can not understand all the mood of the pet; especially when the pet is not in the pet owner When you are around, the owner can't get the mood of the pet.

[0004] Therefore, it is a new demand for people to understand animal moods and scientifically raise animals.

technical problem

[0005] The main object of the present invention is to provide a method and system for judging the mood of an animal, and obtaining state information of the animal, and judging the mood of the animal, and facilitating monitoring of the animal by the user.

Problem solution

Technical solution

The present invention provides a method for determining an animal's mood, comprising the following steps:

[0007] collecting state information of the animal;

[0008] According to the state information of the animal, a query is made in a preset pet mood database to obtain an animal's mood type.

[0009] Further, the status information includes motion information of the animal, and the query is performed in a preset pet mood database according to the state information of the animal, and the step of obtaining the mood type of the animal includes

[0010] The action information of the collected animal is compared with the action information-mood type mapping table stored in advance in the pet mood database, and the mood of the animal is determined. [0011] Further, the status information includes sound information of the animal, and the step of performing a query in the preset pet mood database according to the state information of the animal, and obtaining the mood type of the animal further includes:

[0012] Based on the collected sound information of the animal, the sound information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

[0013] Further, the state information includes action information and sound information of the animal, and the step of performing a query in a preset pet mood database according to the state information of the animal to obtain a mood type of the animal Also includes:

[0014] comparing the collected animal motion information and the animal sound information with the pet mood database, and acquiring another mood value corresponding to the animal motion information and a mood value corresponding to the animal sound information;

[0015] calculating a final mood value of the animal according to the mood value corresponding to the animal motion information and the mood value corresponding to the animal sound information, according to the final mood value in the preset mood type table. The mood type of the animal is queried to determine the mood of the animal.

[0016] Further, the action information of the animal includes one or more of an animal's activity speed, an animal's posture, an animal's activity, and an animal's exercise amount.

[0017] Further, the sound information of the animal includes a spectrum and/or a volume of the animal sound.

[0018] Further, the action information of the animal includes an action of the tail of the animal; and the tail action of the animal includes at least one of a tail upturn, a drooping, a shaking time, and a shaking amplitude.

[0019] Further, the step of collecting state information of the animal includes:

[0020] collecting motion information of the animal by the first collecting unit, where the first collecting unit includes an acceleration sensor

At least one of a nine-axis sensor, an angular acceleration sensor, a geomagnetic sensor, and a gyroscope.

[0021] Further, the step of collecting state information of the animal includes:

[0022] collecting sound information of the animal by the second collecting unit; the second collecting unit includes a microphone.

[0023] Further, the status information further includes physiological signal information of the animal, and the physiological signal information of the animal includes at least one of an animal's heart rate, an animal's body temperature, and an animal's respiratory rate;

[0024] the physiological signal information of the animal is collected by a physiological information collector; the physiological information collector includes at least one of a heart rate sensor, a temperature sensor, and a respiratory sensor.

[0025] [0026] The present invention also provides a system for determining an animal's mood, including a smart wearable device and a mobile terminal, the smart wearable device being paired with the mobile terminal;

[0027] a smart wearable device, configured to collect state information of the animal and send the state information to the mobile terminal; [0028] the mobile terminal, configured to perform a query in the preset pet mood database according to the state information of the animal , get the mood type of the animal.

[0029] Further, the status information includes action information of the animal, and the mobile terminal is configured to: [0030] according to the action information of the collected animal, and the action information-mood type mapping pre-stored in the pet mood database The table is compared to determine the mood of the animal.

[0031] Further, the status information includes sound information of the animal, and the mobile terminal is configured to: [0032] according to the collected sound information of the animal, and the sound information-mood type mapping pre-stored in the pet mood database The table is compared to determine the mood of the animal.

[0033] Further, the status information includes action information and sound information of the animal, and the mobile terminal is further configured to:

[0034] comparing the collected animal motion information and the animal sound information with the pet mood database, respectively acquiring a mood value corresponding to the animal motion information and a mood value corresponding to the animal sound information; and corresponding to the animal motion information according to the The mood value and the mood value corresponding to the animal sound information are combined with the preset weight value, and the final mood value of the animal is calculated, and the mood type of the animal is searched in the preset mood type table according to the final mood value, thereby judging The mood of the animal.

[0035] Further, the animal motion information collected by the smart wearable device includes one or more of an animal's activity speed, an animal's posture, an animal's activity, and an animal's exercise amount.

[0036] Further, the sound information of the animal includes a spectrum and/or a volume of the animal sound.

[0037] Further, the animal motion information collected by the smart wearable device includes an animal's tail motion; [0038] the animal's tail motion includes at least one of a tail upturn, a drooping, a shaking number, and a shaking amplitude. .

[0039] Further, the smart wearable device includes a first collection unit;

[0040] The smart wearable device collects motion information of the animal through the first collection unit, and the first collection unit includes at least one of an acceleration sensor, a nine-axis sensor, an angular acceleration sensor, a geomagnetic sensor, and a gyroscope. [0041] Further, the smart wearable device includes a second collection unit, and the smart wearable device collects sound information of the animal through the second collection unit; the second collection unit includes a microphone.

[0042] Further, the state information collected by the smart wearable device further includes physiological signal information of the animal, and the physiological signal information of the animal includes at least one of an animal's heart rate, an animal's body temperature, and an animal's respiratory rate;

[0043] the smart wearable device further includes a physiological information collector;

[0044] The smart wearable device collects physiological signal information of the animal through a physiological information collector; the physiological information collector includes at least one of a heart rate sensor, a temperature sensor, and a respiratory sensor.

Advantageous effects of the invention

Beneficial effect

[0045] The method and system for determining the mood of an animal provided in the present invention have the following beneficial effects:

[0046] The method and system for determining the mood of an animal provided by the present invention collects and acquires state information of the animal; and according to the state information of the animal, performs an inquiry in a preset pet mood database to obtain an animal's mood type, which is convenient. The user monitors the animal; even if the user is not at the pet's side, the animal's mood can be obtained through the mobile terminal, and the pet can be monitored to facilitate the user to take care of the pet.

Brief description of the drawing

DRAWINGS

1 is a schematic view showing the steps of a method for determining an animal's mood in an embodiment of the present invention;

2 is a schematic diagram showing the steps of a method for determining an animal's mood in another embodiment of the present invention;

3 is a schematic diagram showing the steps of a method for determining an animal's mood in another embodiment of the present invention;

4 is a schematic structural diagram of a system for determining an animal's mood in an embodiment of the present invention;

5 is a schematic structural diagram of a smart wearable device according to an embodiment of the present invention.

[0052]

[0053] The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.

BEST MODE FOR CARRYING OUT THE INVENTION

[0054] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the present invention. Bright.

The singular forms "a", "an", "the" It will be further understood that the phrase "comprising", used in the <RTI ID=0.0> </RTI> <RTIgt; </ RTI> is intended to mean the presence of the features, integers, steps, operations, components, units, modules and/or components, but does not exclude the presence or addition of one or more Other characteristics, integers, steps, operations, components, units, modules, components, and/or groups thereof. It will be understood that when we mean that an element is "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or an intermediate element can be present. Further, "connected" or "coupled" as used herein may include either a wireless connection or a wireless coupling. The phrase "and/or" used herein includes all or any of the elements and all combinations of one or more of the associated listed.

[0056] Those skilled in the art will appreciate that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs, unless otherwise defined. It should also be understood that terms such as those defined in a general dictionary should be understood to have meaning consistent with the meaning in the context of the prior art, and will not be idealized or excessive unless specifically defined as here. The formal meaning is explained.

[0057] At present, the pet owner (user) not only needs to look after the pet's diet, in order to look after the pet more reasonably, the pet owner also needs to know the mood state of the pet; according to the mood state of the pet, the pet owner can take corresponding measures, better Look after the pet. Therefore, the present invention provides a method and system for judging an animal's mood, which is mainly used to monitor an application scenario of a pet's mood state; and acquires state information of the animal through actual collection, the state information mainly includes motion information and/or sound information of the animal. According to the state information of the animal, the query is performed in the preset pet mood database to obtain the mood type of the animal, so that the user can monitor the animal; even if the user is not at the pet, the mood of the animal can be obtained through the mobile terminal 20. Monitor pets to make it easier for users to take care of pets.

[0058] Referring to FIG. 1, a schematic diagram of a method for determining an animal's mood according to an embodiment of the present invention is shown.

[0059] An embodiment of the invention provides a method for determining an animal's mood, comprising the following steps:

[0060] Step S1, collecting state information of the animal.

[0061] Step S2: Perform a query in the preset pet mood database according to the state information of the animal to obtain a mood type of the animal. [0062] In the present embodiment, the state information of the animal is information indicating the physical state of the animal. Specifically, for example, it may be motion information and/or sound information and/or physiological signal information of the animal. As the mood of the animal changes, the changes in the physical state usually show some commonality. Therefore, by collecting the state information of the animal and comparing it with the data in the preset pet mood database, the mood type of the animal can be obtained. That is to judge the mood of the animal.

[0063] Referring to FIG. 2, an embodiment of the present invention provides a method for determining an animal's mood, including the following steps: [0064] Step S1A, collecting state information of an animal, where the state information of the animal includes: / or sound information.

[0065] Step S2A: Performing a query in a preset pet mood database according to the state information of the animal, and obtaining a mood type of the animal.

[0066] In this embodiment, the state information of the animal includes motion information and/or sound information of the animal, wherein the motion information of the animal mainly includes the activity speed of the animal, the posture of the animal, the activity of the animal, and the amount of exercise of the animal. One or more; the sound information of the above animal includes the spectrum and/or volume of the animal sound

[0067] The above animal is a pet that the pet owner needs to take care of, and may be an animal such as a dog or a cat.

In the present embodiment, the action information and the sound information of the animal are mainly collected by the smart wearable device 10, and the smart wearable device 10 can be worn on the head, neck, body or limbs of the animal. The smart wearable device 10 may be used to obtain status information of a plurality of parts of the animal in a plurality of different parts of the animal, or may be set to only one.

[0069] Specifically, the smart wearable device 10 includes a first collection unit 101 and a second collection unit 102. The smart wearable device 10 collects motion information of the animal through the first collection unit 101, and collects the animal by the second collection unit 102. The first acquisition unit 101 includes at least one of an acceleration sensor, a nine-axis sensor, an angular acceleration sensor, a geomagnetic sensor, and a gyroscope; and the second acquisition unit 102 includes a microphone.

[0070] The acceleration sensor may be a three-axis acceleration sensor, and the acceleration information of the animal in the X, Υ, and ζ directions is detected by the three-axis acceleration sensor, and the velocity information in the X, Υ, and ζ axis directions is determined. The angular acceleration sensor detects the angular acceleration of the animal and determines the speed information of the tilt and pitch. The angular acceleration sensor can be a gyroscope. The geomagnetic sensor can detect the angle of the animal's motion and judge it. Information on the angle of movement. The combination of a three-axis acceleration sensor, a nine-axis sensor, an angular acceleration sensor and a geomagnetic sensor can further improve the accuracy of detecting animal motion information.

[0071] After collecting the state information of the animal, the query may be performed in the preset pet mood database according to the state information of the animal to obtain the mood type of the animal, thereby determining the mood of the animal. The mood types of the above animals mainly include pleasure, anger, depression, sadness, nervousness and the like.

[0072] Specifically, the pet mood database can be compared to find the corresponding animal mood. The pet mood database is a comparison table of mood types obtained based on collection and analysis of a large amount of historical experience data, and a comparison table storing pet state information and pet mood, and the pet mood database may be obtained from a network database or a pet. The owner or others manually set the data after a large amount of data analysis. In an implementable manner, according to the state information of the animal, querying the mood type of the animal in the preset pet mood database may be, for example: the pet owner may set the speed of the pet to be faster in the comparison table. , to determine that the pet is more active; pet activity is low, the amount of exercise is small, then the animal is judged to be depressed or lazy. For example, if the pet's voice is relatively low, it can be judged that the pet's mood is relatively negative; if the pet yells loudly and the sound is fierce, it can be judged that the animal is more angry.

[0073] For different animals, the expression of mood may be different. For example, some animals are lazy and do not like activities; while some animals are lively and active, and the upper and lower jaws are more frequent. Therefore, the pet owner can also modify the content of the checklist in the pet mood database according to the habits of his pet, so that the mood of the pet is more accurate, so that he can better care for his pet. Understandably, each pet owner will update the pet mood database according to their pet's habits and daily habits. Therefore, the preset pet mood database referred to in the present application is a database of pet moods collected by collecting a database of pet moods provided by a large number of pet owners. This statistical pet mood database, because of a large number of different users' uploads and uploads, has a wide range of statistics, and has a high degree of accuracy after comprehensive analysis of a large number of different user updated comparison tables. The statistical pet mood database is preset for the user to use. The method for judging the animal mood of the present application collects the state information of the animal, and then queries the animal's mood type according to the state information and the preset pet mood database, thereby further accurately determining Out of the heart of the animal IB.

[0074] In this embodiment, the actual collection and acquisition of the state information of the animal, the state information mainly includes the action information and/or the sound information of the animal; determining the mood of the animal according to the state information, facilitating the user to enter the animal Line monitoring; even if the user is not at the pet's side, the animal's mood can be acquired through the mobile terminal 20, and the pet can be monitored to facilitate the user to take care of the pet.

[0075] In still another embodiment, the motion information of the animal includes an animal's tail motion.

[0076] The collection of the tail motion of the animal may be collected by a tail ring worn on the tail of the animal, and the tail ring is one of the smart wearable devices 10, which may be an acceleration sensor in the first collection unit 101. Any one or more of the nine-axis sensor, the angular acceleration sensor, the geomagnetic sensor, and the gyroscope, and a variety of sensors can be used to make the information of the tail movement more accurate, thereby more accurately determining the mood of the animal.

[0077] In the embodiment, the tail motion information of the animal includes at least one of a tail upturn, a drooping, a shaking number, and a shaking amplitude.

[0078] After acquiring the tail motion information of the animal, the corresponding mood state of the animal can be determined according to the tail motion information. Specifically, the action information-mood type mapping table pre-stored in the pet mood database may be compared to find an animal mood corresponding to the animal tail motion information, and the pet mood database may be analyzed by the user according to the statistical tail motion form to form a tail action form. Corresponding emotional states can also directly correspond to the mood of the animal from other media, such as the Internet, a network database or other terminals. For example, in the case of a dog, the animal mood library can be preset with the tail tilted, and the tail is swiftly shaken to express joy; the tail is drooping, and the tail is slightly shaken, indicating that the mood is uneasy and afraid; the clamping tail indicates nervousness.

[0079] Specifically, in a specific embodiment, two collecting devices for collecting tail motion information may be disposed on the tail of the animal, which are a first collecting device and a second collecting device, respectively. The above animals can be cats, dogs, and the like.

[0080] The first collecting device is worn on the first portion of the tail of the target animal to obtain the first tail motion information of the animal tail, and the second collecting device is worn on the second portion of the animal's tail to obtain the tail of the target animal. The second tail motion information of the two parts; the first collecting device transmits the motion information of the first tail to the processing device; and the second collecting device transmits the second tail motion information to the processing device. The second collecting device further transmits the second tail motion information to the first collecting device, and the second collecting device transmits the second tail motion information to the processing device. [0081] The tail motion information includes the first tail motion information and the second tail motion information, and the first tail motion information and the second tail motion information are tails that reflect the first part and the second part of the tail of the animal. Action information, such as the upturn of the tail, low hanging, shaking, and the number of shaking, amplitude and so on.

[0082] The processing device receives the first tail motion information and the second tail motion information, and the processing device searches for invalid tail motion information through the built-in central processing unit. The invalid tail motion information is tail motion information in which the tail of the target animal has no movement change during the preset time.

[0083] The preset time can be customized to perform setting, and the tail motion information can reflect the emotional state of the target animal. When there is no movement change in the tail of the target animal in the preset time, for example, if the animal sleeps and the tail is still stationary, then the collected tail motion information is invalid tail motion information. The preset time can be a specific time point or a time zone. Here, the specific value of the preset time is not limited, and the preset time can be set according to the actual situation.

The processing device deletes the invalid tail motion information, and determines tail motion information other than the invalid tail motion information in the tail motion information as valid tail motion information.

[0085] The processing device deletes the invalid tail action information by a built-in central processing unit. The first tail motion information and the tail motion information other than the invalid tail motion information in the second tail motion information are determined as valid tail motion information.

[0086] The valid tail motion information is information indicating that the target animal's tail changes in motion.

[0087] After acquiring the tail motion information of the animal, the query may be performed in the preset pet mood database according to the tail motion information to obtain the mood type of the animal. Specifically, the action information-mood type mapping table pre-stored in the pet mood database may be compared to find an animal mood corresponding to the animal tail motion information, and the pet mood database may be analyzed by the user according to the statistical tail motion form to form a tail action form. Corresponding emotional states can also directly correspond to the mood of the animal from other media, such as the Internet, a network database or other terminals. For example, in the case of a dog, the animal mood library can be preset with the tail tilted, and the tail is swiftly shaken to express joy; the tail is drooping, and the tail is slightly shaken, indicating that the mood is uneasy and afraid; the clamping tail indicates nervousness.

[0088] Referring to FIG. 3, it is a schematic diagram of steps of a method for determining an animal's mood according to another embodiment of the present invention.

[0089] step S1B, collecting state information of the animal; the state information includes physiological signal information of the animal; [0090] Step S2B, according to the state information of the animal, performing a query in a preset pet mood database to obtain a mood type of the animal.

In the present embodiment, the status information mainly includes physiological signal information of the animal, and the physiological signal information of the animal includes at least one of an animal's heart rate, an animal's body temperature, and an animal's respiratory rate.

[0092] The above animal is a pet that the pet owner needs to take care of, and may be an animal such as a dog or a cat.

In the present embodiment, the physiological signal information of the animal is mainly collected by the smart wearable device 10, and the smart wearing device 10 can be worn on the head, neck, body or limbs of the animal. The smart wearable device 10 may be used to obtain status information of a plurality of parts of the animal for a plurality of different parts of the animal, or may be set to only one.

Specifically, the smart wearable device 10 collects physiological signal information of the animal through the physiological information collector 103. The physiological information collector 103 includes at least one of a heart rate sensor, a temperature sensor, and a respiratory sensor.

[0095] The heart rate sensor can collect the heart rate of the animal, the temperature sensor can collect the body temperature of the animal, and the respiratory sensor can collect the respiratory frequency of the animal to determine whether the animal breath is short.

[0096] After the state information of the animal is collected by the physiological information collector 103, the query may be performed in a preset pet mood database according to the state information of the animal to obtain the mood type of the animal. The mood types of the above animals mainly include pleasure, anger, depression, sadness, nervousness and the like.

[0097] Specifically, the pet mood database can be compared to find the corresponding animal mood. The pet mood database is a comparison table of mood types obtained based on collection and analysis of a large amount of historical experience data, and a comparison table storing pet state information and pet mood, and the pet mood database may be obtained from a network database or a pet. The owner or others manually set the data after a large amount of data analysis. In an implementable manner, according to the state information of the animal, querying the mood type of the animal in the preset pet mood database may be, for example: the animal heart rate is faster, indicating that the animal is more angry; the animal is short of breath, indicating that the animal is active; Animals with high body temperature may cause anxiety in animals, and they may also determine that the animal is uneasy. The pet owner can also modify the pet mood database or the contents of the comparison table according to the habits of his pet, so as to make the judgment of his pet's mood more accurate, so as to better take care of his pet. Understandably, each pet owner will update the pet mood database according to their pet's habits and daily habits. Therefore, the preset pet mood database referred to in this application is to collect a large number of pets. The pet mood database provided by the owner, the statistical pet mood database. This statistical pet mood database, because of a large number of different users' uploads and uploads, has a wide statistical range, and has been comprehensively analyzed by a large number of different user updated comparison tables, so the accuracy is high. The statistical pet mood database is preset for the user to use. The method for judging the animal mood of the present application collects the state information of the animal, and then queries the animal's mood type according to the state information and the preset pet mood database, thereby further accurately determining The mood of the animal.

[0098] In this embodiment, the state information of the obtained animal is collected, and the state information mainly includes physiological signal information of the animal; the mood of the animal is determined according to the state information, so that the user can monitor the animal; even if the user is absent The pet can also obtain the mood of the animal through the mobile terminal 20, and monitor the pet to facilitate the user to take care of the pet.

[0099] Further, in the above embodiment, the step of determining the mood of the animal according to the collected animal state information includes:

[0100] Based on the motion information of the collected animal, the action information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

[0101] Based on the collected sound information of the animal, the sound information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

[0102] comparing the collected animal motion information and the animal sound information with the pet mood database, respectively acquiring a mood value corresponding to the animal motion information and a mood value corresponding to the animal sound information; and according to the mood corresponding to the animal motion information The value and the mood value corresponding to the animal sound information are combined with the preset weight value, and the final mood value of the animal is calculated, and the mood type of the animal is searched in the preset mood type table according to the final mood value, thereby determining the animal's mood type. mood.

[0103] In this embodiment, according to the collected state information, it can be separately compared with the pet mood database. The mood value corresponding to the animal may be obtained by comparing the state information with the pet mood database, and the final mood value of the animal may be calculated according to the weight ratio of the various state information, thereby determining the mood of the animal according to the mood value. For example, in the pet mood database, not only the action information-mood type mapping table and the sound information-mood type mapping table are pre-set, but also the action information-mood value mapping table and the sound information-mood value mapping table, wherein the mood value is pre-set It also maps the mood type corresponding to the pet. Specifically, the animal's mood information is compared with the pet mood database, and the animal's mood value is A; According to the animal's voice information and the pet mood database, it is found that the mood value of the animal is B; the weight ratio of the mood value corresponding to the preset action information and the mood value corresponding to the sound information is X: 1; The B and the weight calculate the final mood value C of the animal, and according to the final mood value C, the mood type of the animal is queried in the preset mood type table, thereby determining the mood of the animal.

[0104] In order to further illustrate the method of the present invention, the present invention also provides a system for determining the mood of an animal.

4 is a schematic structural diagram of a system for determining an animal's mood according to an embodiment of the present invention.

[0106] In an embodiment of the present invention, a system for determining an animal's mood is provided, including a smart wearable device 10 and a mobile terminal 20, and the smart wearable device 10 is paired with the mobile terminal 20.

[0107] The smart wearable device 10 is configured to collect status information of the animal and send the status information to the mobile terminal 20.

[0108] The mobile terminal 20 is configured to receive status information sent by the smart wearable device 10, according to status information of the animal.

Inquiring in the preset pet mood database to get the mood type of the animal.

[0109] In the present embodiment, the state information of the animal is information indicating the physical state of the animal. Specifically, for example, it may be motion information and/or sound information and/or physiological signal information of the animal. As the mood of the animal changes, the changes in the physical state usually show some commonality. Therefore, by collecting the state information of the animal and comparing it with the data in the preset pet mood database, the mood type of the animal can be obtained. That is to judge the mood of the animal.

[0110] In this embodiment, the state information of the animal includes motion information and/or sound information of the animal, wherein the motion information of the animal mainly includes the activity speed of the animal, the posture of the animal, the activity of the animal, and the amount of exercise of the animal. One or more; the sound information of the above animal includes the spectrum and/or volume of the animal sound

[0111] The above animal is a pet that the pet owner needs to take care of, and may be an animal such as a dog or a cat.

In the present embodiment, the motion information and the sound information of the animal are mainly collected by the smart wearable device 10, and the smart wearable device 10 can be worn on the head, neck, body or limbs of the animal. The smart wearable device 10 may be used to obtain status information of a plurality of parts of the animal in a plurality of different parts of the animal, or may be set to only one.

[0113] Specifically, referring to FIG. 5, the smart wearable device 10 includes a first collection unit 101 and a second collection unit 102. The smart wearable device 10 collects motion information of the animal through the first collection unit 101, and passes the second The collecting unit 102 collects sound information of the animal; the first collecting unit 101 includes at least one of an acceleration sensor, a nine-axis sensor, an angular acceleration sensor, a geomagnetic sensor, and a gyroscope; and the second collecting unit 102 includes a microphone.

[0114] The acceleration sensor may be a three-axis acceleration sensor, and the acceleration information of the animal in the X, Υ, and x-axis directions is detected by the three-axis acceleration sensor, and the velocity information in the X, Υ, and x-axis directions is determined. The angular acceleration sensor detects the angular acceleration of the animal and determines the speed information of the tilt and pitch. The angular acceleration sensor can be a gyroscope. The geomagnetic sensor can detect the angle of the animal's motion and determine the angle information of the animal. The combination of a three-axis acceleration sensor, a nine-axis sensor, an angular acceleration sensor, and a geomagnetic sensor can further improve the accuracy of detecting animal motion information.

[0115] After collecting the state information of the animal, the mobile terminal 20 may perform a query in the preset pet mood database according to the state information of the animal to obtain the mood type of the animal. The mood types of the above animals mainly include pleasure, anger, depression, sadness, nervousness and the like.

[0116] Specifically, the pet mood database can be compared to find the corresponding animal mood. The pet mood database is a comparison table of mood types obtained based on collection and analysis of a large amount of historical experience data, and a comparison table storing pet state information and pet mood, and the pet mood database may be obtained from a network database or a pet. The owner or others manually set the data after a large amount of data analysis. In an implementable manner, according to the state information of the animal, querying the mood type of the animal in the preset pet mood database may be, for example: the pet owner may set the speed of the pet to be faster in the comparison table. , to determine that the pet is more active; pet activity is low, the amount of exercise is small, then the animal is judged to be depressed or lazy. For example, if the pet's voice is relatively low, it can be judged that the pet's mood is relatively negative; if the pet yells loudly and the sound is fierce, it can be judged that the animal is more angry.

[0117] For different animals, the expression of mood may be different. For example, some animals are lazy and do not like activities; while some animals are lively and active, and the upper and lower jaws are more frequent. Therefore, the pet owner can also modify the content of the pet mood database or the comparison table according to the habits of his pet, so as to make the judgment of his pet's mood more accurate, so as to better take care of his pet. Understandably, each pet owner will update the pet mood database according to their pet's habits and daily habits. Therefore, the preset pet mood database referred to in the present application is a statistical database of pet moods collected by collecting a pet mood database provided by a large number of pet owners. This statistical pet mood database, Due to the large number of different users' uploads and uploads, the statistical range is wide, and the comprehensive analysis of the comparison tables updated by a large number of different users is highly accurate. The statistical pet mood database is preset for the user to use. The method for judging the animal mood of the present application collects the state information of the animal, and then queries the animal's mood type according to the state information and the preset pet mood database, thereby further accurately determining The mood of the animal.

[0118] In this embodiment, the state information of the obtained animal is collected, and the state information mainly includes motion information and/or sound information of the animal; determining the mood of the animal according to the state information, so that the user can monitor the animal; Even if the user is not at the pet's side, the animal's mood can be acquired through the mobile terminal 20, and the pet can be monitored to facilitate the user to take care of the pet.

[0119] In another embodiment, the animal motion information collected by the smart wearable device 10 includes an animal's tail motion.

[0120] The collection of the tail motion of the animal may be collected by a tail ring worn on the tail of the animal, which is one of the smart wearable devices 10, which may be an acceleration sensor in the first collection unit 101. Any one or more of the nine-axis sensor, the angular acceleration sensor, the geomagnetic sensor, and the gyroscope, and a variety of sensors can be used to make the information of the tail movement more accurate, thereby more accurately determining the mood of the animal.

In the present embodiment, the tail motion information of the animal includes at least one of a tail upturn, a drooping, a shaking number, and a shaking amplitude.

[0122] After acquiring the tail motion information of the animal, the mobile terminal 20 can perform a query in the preset pet mood database according to the tail motion information to obtain the mood type of the animal. Specifically, the action information-mood type mapping table pre-stored in the pet mood database may be compared to find an animal mood corresponding to the animal tail motion information, and the pet mood database may be analyzed by the user according to the statistical tail motion form to form a tail action form. Corresponding emotional states can also directly correspond to the mood of the animal from other media, such as the Internet, a network database or other terminals. For example, in the case of a dog, the animal mood library can be preset with a tail lifted, and the tail is swiftly shaken to express a happy mood; the tail is drooping, and the tail is slightly shaken, indicating that the mood is uneasy and afraid; the clamping of the tail indicates tension.

[0123] Specifically, in a specific embodiment, two collection devices for collecting tail motion information may be disposed on the tail of the animal, which are a first collection device and a second collection device, respectively. Specifically, the first collection For the implementation of the device and the second collection device, reference may be made to the above embodiments, and details are not described herein.

[0124] In still another embodiment, the state information collected by the smart wearable device 10 further includes physiological signal information of the animal, and the physiological signal information of the animal includes at least one of an animal's heart rate, an animal's body temperature, and an animal's respiratory rate. .

[0125] The above animal is a pet that the pet owner needs to take care of, and may be an animal such as a dog or a cat.

[0126] In the present embodiment, the physiological signal information of the animal is mainly collected by the smart wearable device 10, and the smart wearing device 10 can be worn on the head, neck, body or limbs of the animal. The smart wearable device 10 may be used to obtain status information of a plurality of parts of the animal in a plurality of different parts of the animal, or may be set to only one.

[0127] Specifically, the smart wearable device 10 further includes a physiological information collector 103 (refer to FIG. 5). The smart wearable device 10 collects physiological signal information of the animal through the physiological information collector 103. The physiological information collector 103 includes a heart rate. At least one of a sensor, a temperature sensor, and a respiration sensor.

[0128] The heart rate sensor can collect the heart rate of the animal, the temperature sensor can collect the body temperature of the animal, and the respiratory sensor can collect the respiratory frequency of the animal to determine whether the animal breath is rapid or the like.

[0129] After the state information of the animal is collected by the physiological information collector 103, the mobile terminal 20 can perform a query in the preset pet mood database according to the state information of the animal to obtain the mood type of the animal. The mood types of the above animals mainly include pleasure, anger, depression, sadness, nervousness and the like.

[0130] Specifically, the pet mood database can be compared to find the corresponding animal mood. The pet mood database is a comparison table of mood types obtained based on collection and analysis of a large amount of historical experience data, and a comparison table storing pet state information and pet mood, and the pet mood database may be obtained from a network database or a pet. The owner or others manually set the data after a large amount of data analysis. In an implementable manner, according to the state information of the animal, querying the mood type of the animal in the preset pet mood database may be, for example: the animal heart rate is faster, indicating that the animal is more angry; the animal is short of breath, indicating that the animal is active; Animals with high body temperature may cause anxiety in animals, and they may also determine that the animal is uneasy. The pet owner can also modify the pet mood database or the contents of the comparison table according to the habits of his pet, so as to make the judgment of his pet's mood more accurate, so as to better take care of his pet. Understandably, each pet owner will update the pet mood database according to their pet's habits and daily habits. Therefore, the preset pet mood database referred to in this application is to collect a large number of pets. The pet mood database provided by the owner, the statistical pet mood database. This statistical pet mood database, because of a large number of different users' uploads and uploads, has a wide statistical range, and has been comprehensively analyzed by a large number of different user updated comparison tables, so the accuracy is high. The statistical pet mood database is preset for the user to use. The method for judging the animal mood of the present application collects the state information of the animal, and then queries the animal's mood type according to the state information and the preset pet mood database, thereby further accurately determining The mood of the animal.

[0131] In the embodiment, the smart wearable device 10 collects and acquires state information of the animal, and the state information mainly includes physiological signal information of the animal; and the mobile terminal 20 presets the pet mood according to the state information of the animal. The database performs the query to obtain the mood type of the animal, which is convenient for the user to monitor the animal; even if the user is not at the pet, the animal can obtain the mood of the animal through the mobile terminal 20, and the pet can be monitored to facilitate the user to take care of the pet.

[0132] Further, the mobile terminal 20 is configured to:

[0133] Based on the motion information of the collected animal, the action information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

[0134] Based on the collected sound information of the animal, the sound information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

[0135] comparing the collected animal motion information and the animal sound information with the pet mood database, respectively acquiring a mood value corresponding to the animal motion information and a mood value corresponding to the animal sound information; and according to the mood corresponding to the animal motion information The value and the mood value corresponding to the animal sound information are combined with the preset weight value, and the final mood value of the animal is calculated, and the mood type of the animal is searched in the preset mood type table according to the final mood value, thereby determining the animal's mood type. mood.

[0136] In this embodiment, the mobile terminal 20 can separately compare with the pet mood database according to the collected state information. The mood value corresponding to the animal may be obtained by comparing the plurality of state information with the pet mood database, and the final bonus mood value of the animal is calculated according to the weight ratio of the various state information, thereby determining the mood of the animal according to the mood value. . For example, in the pet mood database, not only the action information-mood type mapping table and the sound information-mood type mapping table are pre-set, but also the action information-mood value mapping table and the sound information-mood value mapping table, wherein the mood value is pre-set It also maps the mood type corresponding to the pet. Specifically, the animal's action information is compared with the pet mood database to obtain an animal. The mood value is A; the animal's voice information is compared with the pet mood database, and the animal's mood value is B; the preset action information corresponding mood value and the voice information corresponding to the mood value weight ratio X : 1 ; Then calculate the final mood value C of the animal according to A, B and the weight value, and query the mood type of the animal in the preset mood type table according to the final mood value C, thereby judging the mood of the animal.

[0137] In summary, the method and system for determining the mood of an animal provided in the embodiment of the present invention, the smart wearable device 10 collects and acquires state information of an animal, and the state information mainly includes motion information, sound information, and / or physiological signal information; the mobile terminal 20 makes a query in the preset pet mood database according to the state information of the animal, and obtains the mood type of the animal, so that the user can monitor the animal; even if the user is not at the pet, the mobile terminal can move The terminal 20 acquires the mood of the animal, monitors the pet, and facilitates the user to take care of the pet.

[0138]

[0139] Those skilled in the art will appreciate that the present invention includes apparatus related to performing one or more of the operations described herein. These devices may be specially designed and manufactured for the required purposes, or may also include known devices in a general purpose computer. These devices have computer programs stored therein that are selectively activated or reconfigured. Such computer programs may be stored in a device (eg, computer) readable medium or in any type of medium suitable for storing electronic instructions and respectively coupled to a bus, including but not limited to any Types of disks (including floppy disks, hard disks, CDs, CD-ROMs, and magneto-optical disks), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory), EPROM (Erasable)

Programmable Read-Only

Memory, rewritable programmable read only memory), EEPROM (Electrically Erasable

Programmable Read-Only Memory, Flash, Magnetic Card or Light Card. That is, a readable medium includes any medium that is stored or transmitted by a device (e.g., a computer) in a readable form.

[0140] Those skilled in the art will appreciate that each block of these block diagrams and/or block diagrams and/or flow diagrams can be implemented with computer program instructions, and/or in the block diagrams and/or block diagrams and/or flow diagrams The combination of boxes. Those skilled in the art will appreciate that these computer program instructions can be implemented by a general purpose computer, a professional computer, or a processor of other programmable data processing methods, such that Processors of other programmable data processing methods are used to perform the block diagrams and/or block diagrams of the present disclosure and/or the schemes specified in the blocks or blocks of the flow diagrams.

Those skilled in the art can understand that the various operations, methods, and steps, measures, and solutions in the present invention may be alternated, changed, combined, or deleted. Further, various operations, methods, and other steps, measures, and arrangements in the process of the present invention may be alternated, changed, rearranged, decomposed, combined, or deleted. Further, the steps, measures, and solutions in the various operations, methods, and processes disclosed in the prior art may be alternated, changed, rearranged, decomposed, combined, or deleted.

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the drawings are used directly or indirectly. Other related technical fields are equally included in the scope of patent protection of the present invention.

Claims

Claim

[Claim 1] A method for determining an animal's mood, comprising the steps of:

Collecting state information of the animal;

According to the state information of the animal, a query is made in a preset pet mood database to obtain the mood type of the animal.

[Claim 2] The method for determining an animal's mood according to claim 1, wherein the status information includes motion information of the animal, and the preset pet mood is based on status information of the animal The query is performed in the database, and the step of obtaining the mood type of the animal includes: comparing the action information of the collected animal with the action information-mood type mapping table stored in the pet mood database to determine the mood of the animal.

[Claim 3] The method for determining a mood of an animal according to claim 1, wherein the state information includes sound information of the animal, and the preset pet mood is based on state information of the animal The query is performed in the database, and the step of obtaining the mood type of the animal further comprises: comparing the sound information of the collected animal with the pre-stored sound information-mood type mapping table in the pet mood database to determine the mood of the animal.

[Claim 4] The method for determining a mood of an animal according to claim 1, wherein the state information includes motion information and sound information of the animal, and the preset information is based on state information of the animal The query in the pet mood database, the step of obtaining the mood type of the animal further includes:

Comparing with the collected animal motion information and the animal sound information, comparing with the pet mood database, respectively acquiring mood values corresponding to the animal motion information and mood values corresponding to the animal sound information;

Calculating a final mood value of the animal according to the mood value corresponding to the animal motion information and the mood value corresponding to the animal sound information, and calculating the final mood value of the animal according to the final mood value, and querying in the preset mood type table according to the final mood value The type of mood of the animal, thereby judging the heart IB of the animal.

[Claim 5] The method for determining an animal's mood according to claim 2 or 4, wherein The motion information of the object includes one or more of an animal's activity speed, an animal's posture, an animal's activity, and an animal's exercise amount.

A method of determining the mood of an animal according to claim 3 or 4, wherein the sound information of the animal includes a spectrum and/or a volume of the sound of the animal.

The method for determining an animal's mood according to claim 5, wherein the animal's motion information includes an animal's tail motion; and the animal's tail motion includes a tail upturn, a low sag, a shaking number, and a shaking amplitude. At least one of them.

The method for determining the mood of an animal according to claim 2 or 4, wherein the step of collecting state information of the animal comprises:

The motion information of the animal is collected by the first acquisition unit, and the first acquisition unit includes at least one of an acceleration sensor, a nine-axis sensor, an angular acceleration sensor, a geomagnetic sensor, and a gyroscope.

The method for determining the mood of an animal according to claim 3 or 4, wherein the step of collecting state information of the animal comprises:

The sound information of the animal is collected by the second collecting unit; the second collecting unit includes a microphone.

A system for determining an animal's mood, comprising: a smart wearable device and a mobile terminal, wherein the smart wearable device is paired with the mobile terminal;

The smart wearable device is configured to collect state information of the animal and send the state information to the mobile terminal mobile terminal, and configured to perform a query in the preset pet mood database according to the state information of the animal, to obtain an animal mood type. .

The system for determining the mood of an animal according to claim 11, wherein the status information includes action information of the animal, and the mobile terminal is configured to: Based on the motion information of the collected animals, the action information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

The method for determining the mood of an animal according to claim 11, wherein the status information includes sound information of the animal, and the mobile terminal is configured to:

Based on the collected sound information of the animal, the sound information-mood type mapping table stored in advance in the pet mood database is compared to determine the mood of the animal.

The method for determining the mood of an animal according to claim 11, wherein the state information includes motion information and sound information of the animal, and the mobile terminal is further configured to:: according to the collected animal motion information and animal sound information Comparing with the pet mood database, respectively acquiring a mood value corresponding to the animal motion information and a mood value corresponding to the animal sound information; combining the mood value corresponding to the animal motion information and the mood value corresponding to the animal sound information The preset weight value is used to calculate the final mood value of the animal, and the mood type of the animal is queried in the preset mood type table according to the final mood value, thereby determining the mood of the animal.

The system for determining the mood of an animal according to claim 12 or 14, wherein the animal movement information collected by the smart wearable device comprises one of an activity speed of the animal, an attitude of the animal, an activity of the animal, and an amount of movement of the animal. Kind or more.

A system for determining the mood of an animal according to claim 13 or 14, wherein the sound information of the animal includes a spectrum and/or a volume of the sound of the animal.

The system for determining the mood of an animal according to claim 15, wherein the animal movement information collected by the smart wearable device comprises an action of the tail of the animal;

The tail action of the animal includes at least one of a tail upturn, a drooping, a number of shakings, and a magnitude of shaking.

The system for determining the mood of an animal according to claim 12 or 14, wherein the smart wearable device comprises a first acquisition unit;

The smart wearable device collects motion information of the animal through the first collection unit, and the first collection unit includes at least one of an acceleration sensor, a nine-axis sensor, an angular acceleration sensor, a geomagnetic sensor, and a gyroscope. [Claim 19] The system for determining the mood of an animal according to claim 13 or 14, wherein the smart wearable device comprises a second collection unit, and the smart wearable device collects sound information of the animal through the second collection unit. The second acquisition unit includes a microphone.

[Claim 20] The system for determining the mood of an animal according to claim 11, wherein the state information collected by the smart wearable device further includes physiological signal information of the animal, and the physiological signal information of the animal includes the heart rate of the animal. At least one of a body temperature of the animal and a respiratory rate of the animal; the smart wearable device further comprising a physiological information collector;

The smart wearable device collects physiological signal information of the animal through a physiological information collector; the physiological information collector includes at least one of a heart rate sensor, a temperature sensor, and a respiratory sensor.