CN113867163A - Intelligent household scene switching method and device, intelligent terminal and storage medium - Google Patents
Intelligent household scene switching method and device, intelligent terminal and storage medium Download PDFInfo
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Abstract
The invention discloses an intelligent home scene switching method, an intelligent home scene switching device, an intelligent terminal and a storage medium, wherein the method comprises the following steps: acquiring a user behavior image; based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user; and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response. The intelligent home system aims to solve the problems that the intelligent home system in the prior art can only switch scenes according to preset or user instructions and the intelligent experience is low, so that the intelligent home system collects user behavior images through a camera, automatically analyzes and identifies the current scenes of the user, switches corresponding scene linkage modes and simultaneously enables related intelligent home equipment to execute corresponding responses, and the user can automatically switch scenes in a non-sensory state without presetting or issuing instructions.
Description
Technical Field
The invention relates to the technical field of intelligent home, in particular to an intelligent home scene switching method and device, an intelligent terminal and a storage medium.
Background
With the development of scientific technology, the applications of the internet of things and smart home gradually enter each household, convenient and intelligent life experience can be provided for users through voice recognition, timed execution programs and simple user behavior recognition, and ceremonial feeling is brought to the life of the users. However, in the prior art, when identifying a scene where a user is located, an intelligent home system either needs the user to actively input a current scene, such as scenes of sleeping, watching movies, and the like, through voice, a mobile phone, and the like; or go out through a fixed time, for example, the scene of eight outgoing in the morning, the scene of eight arriving at home in the evening, etc. And the scene of the user cannot be judged more intelligently.
Thus, there is still a need for improvement and development of the prior art.
Disclosure of Invention
The invention mainly aims to provide a scene switching method and device for an intelligent home, an intelligent terminal and a storage medium, and aims to solve the problem that in the prior art, the intelligent home can only switch scenes by means of presetting or issuing instructions by a user, and the scene of the user cannot be judged and switched more intelligently.
In order to achieve the above object, a first aspect of the present invention provides a method for switching smart home scenes, where the method includes:
acquiring a user behavior image;
based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user;
and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response.
Optionally, the step of obtaining the user behavior image includes:
the method comprises the steps of obtaining related articles and user gestures when a user is at home in advance, and establishing a corresponding relation with a corresponding current user scene in advance according to the related articles and the user gestures;
the scenes include home, getting up, sleeping, moving, reading, and viewing.
Optionally, the step of obtaining the user behavior image further includes:
presetting scene linkage mode data corresponding to a current scene of a user;
the scene linkage mode data comprise setting parameters of the intelligent household equipment in each scene.
Optionally, the step of identifying the related items and the user gestures in the user behavior image based on the user behavior image and confirming the current scene of the user includes:
calling the user behavior image;
identifying related articles and user gestures in the user behavior image through an image identification technology;
and confirming the current scene of the user based on the identification result and the corresponding relation.
Optionally, the step of recognizing the related item and the user gesture in the user behavior image by using an image recognition technology includes:
identifying the user-held article in the user behavior image;
and identifying the user gesture based on the user holding the article.
Optionally, the step of calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding smart home device to execute a corresponding response includes:
calling preset scene linkage mode data corresponding to the scene;
searching a scene linkage mode corresponding to the current scene of the user and setting parameters of the intelligent household equipment based on the scene linkage mode data;
and controlling and setting parameters of the corresponding intelligent household equipment to enable the intelligent household equipment to execute corresponding response.
Optionally, the step of calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding smart home device to execute a corresponding response further includes:
based on the scene, confirming that the time for maintaining the current scene by the user is more than the preset time;
and calling and executing a scene linkage mode corresponding to the scene.
The second aspect of the present invention provides an intelligent home scene switching apparatus, wherein the apparatus includes:
the user behavior image acquisition module is used for acquiring a user behavior image;
the scene recognition module is used for recognizing related articles and user gestures in the user behavior image based on the user behavior image and confirming the current scene of the user;
and the scene linkage mode calling module is used for calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user and controlling the corresponding intelligent household equipment to execute corresponding response.
A third aspect of the present invention provides an intelligent terminal, where the intelligent terminal includes a memory, a processor, and an intelligent home scene switching program stored in the memory and operable on the processor, and the intelligent home scene switching program is executed by the processor to implement any one of the steps of the intelligent home scene switching method.
A fourth aspect of the present invention provides a storage medium, where an intelligent home scene switching program is stored in the storage medium, and the intelligent home scene switching program, when executed by a processor, implements any one of the steps of the intelligent home scene switching method.
As can be seen from the above, in the scheme of the present invention, a user behavior image is obtained; based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user; and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response. Compared with the prior art, the scheme of the invention judges the user behavior action through the user behavior image obtained by shooting, intelligently analyzes the current scene of the user and automatically switches the scene linkage mode of the intelligent household equipment. Add new function for intelligent home systems: the scene that the intelligent recognition user gesture corresponds and the scene linkage mode of automatic switch intelligent household equipment make the user need not to switch the scene linkage mode through the mode of presetting or assigning the instruction, accomplish the purpose that the noninductive switched, promote intelligent home systems's intelligent sense, science and technology sense, strengthen user's viscosity.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a method for switching scenes of an intelligent home according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating the implementation of step S200 in FIG. 1;
FIG. 3 is a schematic flow chart illustrating the implementation of step S300 in FIG. 1;
fig. 4 is a schematic specific flowchart of automatic scene switching by the method for switching scenes of a smart home according to the embodiment of the present invention;
fig. 5 is a schematic structural diagram of an intelligent home scene switching apparatus according to an embodiment of the present invention;
fig. 6 is a schematic block diagram of an internal structure of an intelligent terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when …" or "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted depending on the context to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings of the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
With the development of science and technology and the gradual improvement of the living standard of people, the technology of internet of things is more and more mature, and an intelligent home system realized by the technology of internet of things gradually enters each household, such as a plurality of intelligent home devices which can be controlled by mobile phones, such as a Bluetooth sound box, a sweeper wirelessly connected with the Bluetooth sound box, a dish washer and the like; the complete intelligent home system is designed to be specially used for wiring of intelligent home equipment, intelligent home fresh air systems and other large-scale intelligent home equipment before decoration.
However, the smart home system in the prior art is mainly embodied in the aspect of automation thereof, and by setting the execution list, the smart home system can execute items such as sweeping, mopping and the like on time according to the execution list; through the operation of voice or a mobile phone end, the intelligent home system can automatically make corresponding operation items according to the content indicated by the user. However, these are outstanding performances of the smart home system in terms of automation, and the existing smart home system cannot automatically identify and judge the current requirements of the user under the condition that the user does not make an indication. For example, when a user lies down on a sofa for rest, the intelligent home system does not need to give an instruction to judge that the user is ready for rest, and the light source is turned off to pull up the curtain; when a user lays a yoga mat to prepare for yoga, the intelligent home system automatically adjusts the light of the current place, opens the humidifier and plays the relaxing music to provide a corresponding relaxing and leisure scene for the user. The intelligence of the intelligent home system can not be realized by the intelligent home system in the prior art.
In order to solve the problems in the prior art, in the scheme of the invention, a user behavior image is acquired; based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user; and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response. Compared with the prior art, the scheme of the invention judges the user behavior action through the user behavior image obtained by shooting, intelligently analyzes the current scene of the user and automatically switches the scene linkage mode of the intelligent household equipment. Add new function for intelligent home systems: the scene that the intelligent recognition user gesture corresponds and the scene linkage mode of automatic switch intelligent household equipment make the user need not to switch the scene linkage mode through the mode of presetting or assigning the instruction, accomplish the purpose that the noninductive switched, promote intelligent home systems's intelligent sense, science and technology sense, strengthen user's viscosity.
Exemplary method
As shown in fig. 1, an embodiment of the present invention provides a method for switching scenes of an intelligent home, and specifically, the method includes the following steps:
and step S100, acquiring a user behavior image.
In this embodiment, the smart home system obtains a user behavior image through camera shooting. The method comprises the following steps that a user needs to install at least one camera in each room of the home in advance, the camera can be a common monitoring camera, and a monitoring function can be provided for the user while shooting is carried out to obtain a user behavior image; the high-pixel image can be used for accurately acquiring the current behaviors and postures of the user, articles used by the user and ongoing events. The camera can also be provided with a human body infrared sensor, and the camera is started to execute shooting to obtain a user behavior image and a monitoring function when people are detected, so that energy consumption is reduced. The high-definition images containing the users acquired in the step are beneficial to identifying subsequent user postures and the like, the judgment accuracy of the intelligent home system on the user behaviors is improved, and more intelligent home life experience is brought to the users.
And S200, identifying related articles and user gestures in the user behavior image based on the user behavior image, and confirming the current scene of the user.
In this embodiment, the smart home system calculates and analyzes the user behavior image, and analyzing the user behavior image that the user is using an article includes an article held by a hand of the user, an article worn by the user, or an article watched by the user, for example, when the smart home system analyzes that the user holds a book by the hand of the user through the user behavior image, it is preliminarily determined that the user is likely to be in a reading scene; when the intelligent home system analyzes that the user wears the eyeshade on the face through the user behavior image, the intelligent home system preliminarily judges that the user is possibly in a rest scene; when the intelligent home system analyzes that the user looks at the television or faces the television through the user behavior image, and detects that the television is playing a film, the intelligent home system preliminarily judges whether the user is possibly in a film watching scene, and judges whether the user posture accords with the reading scene, the rest scene and the film watching scene on the basis of the related articles after the related articles of the user behavior are identified. On the other hand, the current posture of the user, such as the high leg raising action, the yoga action, the lying still action and other postures, can be recognized, and then whether the user uses other articles, such as a yoga mat, a pillow, a quilt and the like, is obtained to further determine whether the scene where the user is located is a sport scene, a yoga scene and a rest scene. In the two methods, the judgment process of the former method is faster, and a few scenes can be limited according to specific objects; the latter has a wide application range, and when the object used by the user cannot be identified, the current scene of the user can be determined only through the posture of the user. Furthermore, the intelligent home system learns the behaviors of the user, the user behaviors are accurately grasped through the learning of the intelligent algorithm, the judgment speed and the judgment accuracy of the scene where the user is located are improved, and the intelligent experience of the user when the intelligent home system is used is further improved.
And S300, calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response.
In this embodiment, the smart home system calls a preset database containing scene linkage mode data corresponding to various user scenes according to the scene where the user is currently located, and searches a scene linkage mode corresponding to the current user scene and setting parameters of smart home equipment corresponding to the scene linkage mode in the database, for example, a scene linkage mode a corresponding to the user in a rest scene; the user corresponds to the scene linkage mode B when in the yoga scene; and the user corresponds to a scene linkage mode C when in a reading scene, wherein the scene linkage mode is specifically the setting parameters of the household intelligent household equipment. When a user sleeps in a living room, the intelligent home system calls a corresponding scene linkage mode A, the specific setting parameters of the scene linkage mode A are that all lights in the room are closed, a curtain is pulled, and sleep-aid audio can be played according to the usual sleeping habits of the user; for example, when the user does yoga in a room, the mode is switched to the scene linkage mode B, and the intelligent home system opens the air conditioner and the humidifier in the room and plays music of the relaxed yoga to create a comfortable atmosphere for the user. The current scene of the user is intelligently identified and automatically called, the setting parameters of the intelligent household equipment corresponding to the scene are switched to the corresponding scene linkage mode, the non-inductive scene linkage mode switching is realized, the scene linkage mode which the user wants to use can be switched under the condition that the user does not need to give instructions, and the intelligent home experience and the user viscosity of the user are improved.
Furthermore, the specific temperature, light intensity and noise in each scene can be controlled by combining with environment detection equipment in the intelligent home system, such as a temperature sensor, a photosensitive sensor, a sound sensor and the like. For example, the scene linkage mode a is also a scene linkage mode a corresponding to a rest scene, when the scene linkage mode a is started in the daytime, not only the light needs to be turned off, but also the light shielding curtain needs to be pulled up to control the light intensity in the room within the comfortable range for the user to sleep, and when the scene linkage mode a is started at night, only the light in the room needs to be turned off to meet the rest requirement of the user. By combining the method for automatically switching the scene linkage mode and the environmental parameters, the method not only can provide the automatic switching of the scene linkage mode under the non-inductive state for the user, but also can provide the freshness for the user and provide stable scene experience for the user because the intelligent household equipment and the parameters which are adjusted each time are different based on different environmental parameters.
As can be seen from the above, in the scheme of the present invention, a user behavior image is obtained; based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user; and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response. Compared with the prior art, the scheme of the invention judges the user behavior action through the user behavior image obtained by shooting, intelligently analyzes the current scene of the user and automatically switches the scene linkage mode of the intelligent household equipment. Add new function for intelligent home systems: the scene that the intelligent recognition user gesture corresponds and the scene linkage mode of automatic switch intelligent household equipment make the user need not to switch the scene linkage mode through the mode of presetting or assigning the instruction, accomplish the purpose that the noninductive switched, promote intelligent home systems's intelligent sense, science and technology sense, strengthen user's viscosity.
Specifically, in the present embodiment, a smart home system commonly used by a user is used as a main body for description.
In an application scenario, the smart home system acquires a user behavior image through a camera arranged in a room.
For example, a user sets a plurality of cameras in each room of the home, and the situation that the face of the user can be shot by the cameras in any orientation of the user is ensured. When a user appears in a living room, when the camera recognizes that a person is in the living room through an algorithm or a human body infrared sensor, the intelligent home system controls the cameras in the living room to shoot and collect images of the area where the user is located, the shooting and collecting frequency can be used for obtaining user behavior images in real time, and also can be used for obtaining the user behavior images once in preset frequency such as five seconds, ten seconds and half minute. The intelligent home system can acquire the user behavior images of shooting a plurality of angles of the user by setting the plurality of cameras in the embodiment, so that the analysis of the user behavior is facilitated, and a more accurate user behavior judgment result is obtained.
In an application scene, the intelligent home system identifies related articles and user gestures in the user behavior image and judges the current scene of the user.
Specifically, as shown in fig. 2, the step S200 includes:
step S201, calling the user behavior image;
s202, identifying related articles and user gestures in the user behavior image through an image identification technology;
step S203, confirming the current scene of the user based on the identification result and the corresponding relation.
Wherein the step of identifying the related items and the user gestures in the user behavior image through the neural network algorithm comprises:
identifying the user-held article in the user behavior image;
and identifying the user gesture based on the user holding the article.
Wherein, before the step of obtaining the user behavior image, the method comprises the following steps:
the method comprises the steps of obtaining related articles and user gestures when a user is at home in advance, and establishing a corresponding relation with a corresponding current user scene in advance according to the related articles and the user gestures;
the scenes include home, getting up, sleeping, moving, reading, and viewing.
For example, the smart home system calls the user behavior image shot by the camera, identifies the related objects and the user gestures in the user behavior image by using an image identification technology, and determines that the current scene of the user is a scene of returning home, getting up, sleeping, moving, reading, watching a movie or other scenes according to the pre-established corresponding relationship between the scene and the scenes of the related objects and the scenes of the user gestures based on the identification result.
For example, when a user in a shot picture holds a book and walks to a living room, relevant articles in the hand of the user are firstly identified in the shot user behavior image, the articles are identified as the book through an image identification algorithm, then the current scene of the user is locked by the intelligent home system based on the book, the posture of the user is further identified, the current posture of the user is identified through the shot user behavior image, the current posture of the user is identified as walking, the current posture of the user does not accord with the scene of learning and reading, the current scene of the user cannot be judged, and a judgment result is not output;
when the user opens the book on the desk in the living room and takes up the pen, the intelligent home system identifies that the object related to the user behavior is the book and the pen through the image identification algorithm, further locks the current scene of the user and comprises learning, further identifies the user gesture through the image identification algorithm, identifies that the current gesture of the user is the pen holding and writing, and judges that the current scene of the user is the learning scene if the user looks at the learning gesture of the book with eyes. In the steps of the method, a plurality of specific scenes are determined by firstly identifying the related articles, and compared with a mode of firstly identifying the user gesture, the method can more accurately and quickly determine the related scenes.
And further, the user behavior can be accurately judged through a neural network algorithm and a model, images containing the user behavior are collected through a camera in advance, the images are input into a neural network model related to behavior recognition to be trained, and after the training is finished, output is obtained to obtain a second neural network model which is specially used for judging the current scene of the user according to related articles and the user posture. When the intelligent home system judges the related articles and behaviors of the user, the current scene of the user can be judged by inputting the shot image of the user into the second neural network model for behavior prediction, so that the accurate, quick and intelligent judgment of the current scene of the user is realized.
In an application scene, the intelligent home system uses a scene linkage mode corresponding to the scene based on the judged scene.
Specifically, as shown in fig. 3, the step S300 includes:
s301, calling preset scene linkage mode data corresponding to a scene;
step S302, based on the scene linkage mode data, searching a scene linkage mode corresponding to the current scene of the user and setting parameters of the intelligent household equipment;
and S303, controlling and setting parameters of the corresponding intelligent household equipment to enable the intelligent household equipment to execute corresponding response.
Wherein, before the step of obtaining the user behavior image, the method further comprises:
presetting scene linkage mode data corresponding to a current scene of a user;
the scene linkage mode data comprise setting parameters of the intelligent household equipment in each scene.
For example, the smart home system calls preset scene linkage mode data corresponding to various scenes, where the scene linkage mode data includes setting parameters of the smart home device corresponding to various scenes, such as a sleep scene, a learning scene, and a motion scene, for example, all lights in a room are closed and a curtain is closed in the sleep scene.
The intelligent home system searches for a learning scene linkage mode corresponding to the learning scene and setting parameters of related intelligent home equipment in the scene linkage mode data based on the scene linkage mode data and the acquired learning scene where the current user is located, for example, the setting parameters of the intelligent home equipment corresponding to the learning scene are that the brightness of a headlight in a living room is reduced to half of the normal brightness, a desk lamp on the desktop of the living room is turned on, a curtain is turned on, and the room temperature is maintained at 26 ℃. When the intelligent home system obtains the parameter setting of the intelligent home equipment in the learning scene, the parameter of the intelligent home equipment correspondingly related to the parameter setting is correspondingly set, so that the related intelligent home equipment executes corresponding response, and the scene linkage mode of the living room is switched to the learning scene linkage mode under the condition that a user feels no sense.
Further, in order to provide correct judgment and switching of a natural scene linkage mode, a preset time is set, the preset time needs to be integral multiples of a shooting frequency for shooting and acquiring a user behavior image, for example, when the frequency is once every five seconds, the preset time is ten seconds, fifteen seconds, twenty seconds and the like, when the intelligent home system judges that the user is in a certain scene for the first time through the user behavior image, the scene linkage mode corresponding to the scene is not called, when the preset time is five seconds, namely when the intelligent home system judges that the current scene of the user is the same as a result obtained by the last judgment through the user behavior image acquired for the second time, the user is confirmed to be in the certain scene, and the scene linkage mode corresponding to the certain scene is controlled to be started or switched; when the preset time is less than the time of one time of the shooting frequency, directly controlling to start or switch to a scene linkage mode corresponding to a certain scene when the user is judged to be in the certain scene for the first time; when the preset time is more than the time when the shooting frequency is integral multiple of two times, the user is considered to be in a certain scene only when the judgment result of each time in the maintaining period is the same scene, and the scene linkage mode corresponding to the certain scene is controlled to be started or switched.
Further, setting second preset time, when the intelligent home system judges that the user is separated from the current scene through the user behavior image, for example, the user changes from reading a book to playing a mobile phone, judging whether the user confirms that the user is separated from the scene through the rule the same as the preset time, and if so, recovering the set parameters of the intelligent home device before switching the scene linkage mode. Or when detecting that the user leaves the current room for a long time and exceeds the second preset time, similarly judging that the user leaves the scene, and simultaneously turning off all the light sources to switch to the leaving scene, namely, the power saving mode of no person in the room. The first preset time and the second preset time can be set by a user, and can also be learned intelligently through an intelligent home system, the preset time and the second preset time are lengthened when the user feeds back judgment errors, and the preset time and the second preset time are gradually shortened along with the increase of judgment times when the user does not feed back, so that the power utilization is further saved.
In the embodiment of the present invention, the method for switching the smart home scene is further specifically described based on an application scene, and fig. 4 is a specific flowchart illustrating automatic scene switching by the method for switching the smart home scene provided in the embodiment of the present invention, where the method includes the steps of:
step S10, start, proceed to step S11;
step S11, shooting through a camera to obtain a user behavior image, and entering step S12;
step S12, analyzing the image data of the user behavior image, and entering step S13;
step S13, whether the condition for switching scenes is met or not is analyzed, if not, the step S11 is carried out, and if yes, the step S14 is carried out;
step S14, when the condition of switching scenes is currently satisfied by the image data analysis, scene switching is triggered, and the step S20 is entered;
and step S20, end.
As can be seen from the above, in the embodiment of the specific application of the present invention, the smart home system controls the camera to shoot the user behavior image reflecting the current user behavior, and obtains the newspaper when the user a holds the article in the current hand through data analysis, and further determines that the user a is looking at the newspaper when the user a is in the posture, and then considers that the user a is currently in the reading scene, so as to satisfy the condition for triggering scene switching. The intelligent home system controls and switches current intelligent home device setting parameters to reading scene parameters, such as turning on an atmosphere lamp, playing light music and the like. Through automatically identifying the related articles and postures of the user behaviors, the intelligent home equipment parameters are automatically controlled to be adjusted to the parameters corresponding to the scenes, so that the user can identify the user behaviors and link the scenes in an insensitive state, and the intelligent home experience of the user is improved.
Exemplary device
As shown in fig. 5, an embodiment of the present invention further provides an intelligent home scene switching device corresponding to the intelligent home scene switching method, where the intelligent home scene switching device includes:
a user behavior image obtaining module 510, configured to obtain a user behavior image;
in this embodiment, the smart home system obtains a user behavior image through camera shooting. The method comprises the following steps that a user needs to install at least one camera in each room of the home in advance, the camera can be a common monitoring camera, and a monitoring function can be provided for the user while shooting is carried out to obtain a user behavior image; the high-pixel image can be used for accurately acquiring the current behaviors and postures of the user, articles used by the user and ongoing events. The camera can also be provided with a human body infrared sensor, and the camera is started to execute shooting to obtain a user behavior image and a monitoring function when people are detected, so that energy consumption is reduced. The high-definition images containing the users acquired in the step are beneficial to identifying subsequent user postures and the like, the judgment accuracy of the intelligent home system on the user behaviors is improved, and more intelligent home life experience is brought to the users.
A scene recognition module 520, configured to recognize, based on the user behavior image, a related item and a user gesture in the user behavior image, and determine a current scene of the user;
in this embodiment, the smart home system calculates and analyzes the user behavior image, and analyzing the user behavior image that the user is using an article includes an article held by a hand of the user, an article worn by the user, or an article watched by the user, for example, when the smart home system analyzes that the user holds a book by the hand of the user through the user behavior image, it is preliminarily determined that the user is likely to be in a reading scene; when the intelligent home system analyzes that the user wears the eyeshade on the face through the user behavior image, the intelligent home system preliminarily judges that the user is possibly in a rest scene; when the intelligent home system analyzes that the user looks at the television or faces the television through the user behavior image, and detects that the television is playing a film, the intelligent home system preliminarily judges whether the user is possibly in a film watching scene, and judges whether the user posture accords with the reading scene, the rest scene and the film watching scene on the basis of the related articles after the related articles of the user behavior are identified. On the other hand, the current posture of the user, such as the high leg raising action, the yoga action, the lying still action and other postures, can be recognized, and then whether the user uses other articles, such as a yoga mat, a pillow, a quilt and the like, is obtained to further determine whether the scene where the user is located is a sport scene, a yoga scene and a rest scene. In the two methods, the judgment process of the former method is faster, and a few scenes can be limited according to specific objects; the latter has a wide application range, and when the object used by the user cannot be identified, the current scene of the user can be determined only through the posture of the user. Furthermore, the intelligent home system learns the behaviors of the user, the user behaviors are accurately grasped through the learning of the intelligent algorithm, the judgment speed and the judgment accuracy of the scene where the user is located are improved, and the intelligent experience of the user when the intelligent home system is used is further improved.
And a scene linkage mode calling module 530, configured to call, based on the confirmed current scene of the user, a scene linkage mode corresponding to the scene, and control the corresponding smart home device to execute a corresponding response.
In this embodiment, the smart home system calls a preset database containing scene linkage mode data corresponding to various user scenes according to the scene where the user is currently located, and searches a scene linkage mode corresponding to the current user scene and setting parameters of smart home equipment corresponding to the scene linkage mode in the database, for example, a scene linkage mode a corresponding to the user in a rest scene; the user corresponds to the scene linkage mode B when in the yoga scene; and the user corresponds to a scene linkage mode C when in a reading scene, wherein the scene linkage mode is specifically the setting parameters of the household intelligent household equipment. When a user sleeps in a living room, the intelligent home system calls a corresponding scene linkage mode A, the specific setting parameters of the scene linkage mode A are that all lights in the room are closed, a curtain is pulled, and sleep-aid audio can be played according to the usual sleeping habits of the user; for example, when the user does yoga in a room, the mode is switched to the scene linkage mode B, and the intelligent home system opens the air conditioner and the humidifier in the room and plays music of the relaxed yoga to create a comfortable atmosphere for the user. The current scene of the user is intelligently identified and automatically called, the setting parameters of the intelligent household equipment corresponding to the scene are switched to the corresponding scene linkage mode, the non-inductive scene linkage mode switching is realized, the scene linkage mode which the user wants to use can be switched under the condition that the user does not need to give instructions, and the intelligent home experience and the user viscosity of the user are improved.
As can be seen from the above, in the solution of the present invention, the user behavior image is obtained by the user behavior image obtaining module 510; through the scene recognition module 520, based on the user behavior image, recognizing related articles and user gestures in the user behavior image, and confirming the current scene of the user; through the scene linkage mode adjusting module 530, based on the confirmed current scene of the user, a scene linkage mode corresponding to the scene is called, and the corresponding smart home device is controlled to execute a corresponding response. Compared with the prior art, the scheme of the invention judges the user behavior action through the user behavior image obtained by shooting, intelligently analyzes the current scene of the user and automatically switches the scene linkage mode of the intelligent household equipment. Add new function for intelligent home systems: the scene that the intelligent recognition user gesture corresponds and the scene linkage mode of automatic switch intelligent household equipment make the user need not to switch the scene linkage mode through the mode of presetting or assigning the instruction, accomplish the purpose that the noninductive switched, promote intelligent home systems's intelligent sense, science and technology sense, strengthen user's viscosity.
Specifically, in this embodiment, the specific functions of each module of the intelligent home scene switching device may refer to the corresponding descriptions in the intelligent home scene switching method, and are not described herein again.
Based on the above embodiment, the present invention further provides an intelligent terminal, and a schematic block diagram thereof may be as shown in fig. 6. The intelligent terminal comprises a processor, a memory and a network interface which are connected through a system bus. Wherein, the processor of the intelligent terminal is used for providing calculation and control capability. The memory of the intelligent terminal comprises a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores an operating system and an intelligent home scene switching program. The internal memory provides an environment for the operation of an operating system and an intelligent household scene switching program in the nonvolatile storage medium. The network interface of the intelligent terminal is used for being connected and communicated with an external terminal through a network. When being executed by the processor, the intelligent home scene switching program realizes the steps of any one of the intelligent home scene switching methods.
It will be understood by those skilled in the art that the block diagram shown in fig. 6 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the intelligent terminal to which the solution of the present invention is applied, and a specific intelligent terminal may include more or less components than those shown in the figure, or combine some components, or have a different arrangement of components.
In an embodiment, an intelligent terminal is provided, where the intelligent terminal includes a memory, a processor, and an intelligent home scene switching program stored in the memory and executable on the processor, and the intelligent home scene switching program, when executed by the processor, performs the following operation instructions:
acquiring a user behavior image;
based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user;
and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response.
The embodiment of the invention also provides a storage medium, wherein the storage medium is stored with an intelligent home scene switching program, and the intelligent home scene switching program is executed by a processor to realize the steps of any intelligent home scene switching method provided by the embodiment of the invention.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned functions may be distributed as different functional units and modules according to needs, that is, the internal structure of the apparatus may be divided into different functional units or modules to implement all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art would appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the above modules or units is only one logical division, and the actual implementation may be implemented by another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The integrated modules/units described above may be stored in a storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a storage medium and executed by a processor, to instruct related hardware to implement the steps of the above-described embodiments of the method. The computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file or some intermediate form. The computer readable medium may include: any entity or device capable of carrying the above-mentioned computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, software distribution medium, etc. It should be noted that the contents contained in the storage medium may be increased or decreased as appropriate according to the requirements of legislation and patent practice in the jurisdiction.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (10)
1. A smart home scene switching method is characterized by comprising the following steps:
acquiring a user behavior image;
based on the user behavior image, identifying related articles and user gestures in the user behavior image, and confirming the current scene of the user;
and calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user, and controlling the corresponding intelligent household equipment to execute corresponding response.
2. The smart home scene switching method according to claim 1, wherein the step of obtaining the user behavior image comprises:
the method comprises the steps of obtaining related articles and user gestures when a user is at home in advance, and establishing a corresponding relation with a corresponding current user scene in advance according to the related articles and the user gestures;
the scenes include home, getting up, sleeping, moving, reading, and viewing.
3. The smart home scene switching method according to claim 1, wherein the step of obtaining the user behavior image further comprises, before:
presetting scene linkage mode data corresponding to a current scene of a user;
the scene linkage mode data comprise setting parameters of the intelligent household equipment in each scene.
4. The smart home scene switching method according to claim 2, wherein the step of identifying the related items and the user gestures in the user behavior image based on the user behavior image and confirming the current scene of the user comprises:
calling the user behavior image;
identifying related articles and user gestures in the user behavior image through an image identification technology;
and confirming the current scene of the user based on the identification result and the corresponding relation.
5. The smart home scene switching method according to claim 4, wherein the step of identifying the related objects and the user gestures in the user behavior image by using an image recognition technology comprises:
identifying the user-held article in the user behavior image;
and identifying the user gesture based on the user holding the article.
6. The smart home scene switching method according to claim 3, wherein the step of invoking a scene linkage mode corresponding to the scene based on the confirmed user current scene and controlling the corresponding smart home device to execute a corresponding response comprises:
calling preset scene linkage mode data corresponding to the scene;
searching a scene linkage mode corresponding to the current scene of the user and setting parameters of the intelligent household equipment based on the scene linkage mode data;
and controlling and setting parameters of the corresponding intelligent household equipment to enable the intelligent household equipment to execute corresponding response.
7. The smart home scene switching method according to claim 1, wherein the step of invoking a scene linkage mode corresponding to the scene based on the confirmed user current scene and controlling the corresponding smart home device to execute a corresponding response further comprises:
based on the scene, confirming that the time for maintaining the current scene by the user is more than the preset time;
and calling and executing a scene linkage mode corresponding to the scene.
8. The utility model provides an intelligence house scene auto-change over device which characterized in that, the device includes:
the user behavior image acquisition module is used for acquiring a user behavior image;
the scene recognition module is used for recognizing related articles and user gestures in the user behavior image based on the user behavior image and confirming the current scene of the user;
and the scene linkage mode calling module is used for calling a scene linkage mode corresponding to the scene based on the confirmed current scene of the user and controlling the corresponding intelligent household equipment to execute corresponding response.
9. An intelligent terminal, characterized in that the intelligent terminal comprises a memory, a processor and an intelligent home scene switching program stored on the memory and operable on the processor, and the intelligent home scene switching program, when executed by the processor, implements the steps of the intelligent home scene switching method according to any one of claims 1 to 7.
10. A storage medium, wherein the storage medium stores an intelligent home scene switching program, and the intelligent home scene switching program, when executed by a processor, implements the steps of the intelligent home scene switching method according to any one of claims 1 to 7.
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