CN114198875B - Air conditioner control method, device, equipment and storage medium - Google Patents
Air conditioner control method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN114198875B CN114198875B CN202111512328.8A CN202111512328A CN114198875B CN 114198875 B CN114198875 B CN 114198875B CN 202111512328 A CN202111512328 A CN 202111512328A CN 114198875 B CN114198875 B CN 114198875B
- Authority
- CN
- China
- Prior art keywords
- gesture
- state information
- channel state
- air conditioner
- features
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/20—Feedback from users
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Combustion & Propulsion (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Physics & Mathematics (AREA)
- Air Conditioning Control Device (AREA)
- User Interface Of Digital Computer (AREA)
- Selective Calling Equipment (AREA)
Abstract
The application provides an air conditioner control method, an air conditioner control device, air conditioner control equipment and a computer readable storage medium, wherein the air conditioner control method comprises the following steps: acquiring original channel state information, and acquiring gesture characteristics carried by the original channel state information; performing gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features; and adjusting the running state of the air conditioner according to the control interaction gesture. The air conditioner control method can realize passive logic control on the air conditioner without facing the air conditioner, reduce the operation burden of controlling the air conditioner by a user and improve the interaction convenience of the air conditioner.
Description
Technical Field
The application relates to the field of Internet of things, in particular to an air conditioner control method, device, equipment and storage medium.
Background
At present, the traditional air conditioner control method is to control through a remote controller, a user aims at the air conditioner through the remote controller to switch on and off the air conditioner and operate the air conditioner, the operation is complicated, the situation that the remote controller cannot be found exists, the air conditioner cannot be controlled when the remote controller is not available, and the requirement on the operation of the user is high. Other control methods for controlling the air conditioning equipment by recognizing gestures through modules such as a camera, an infrared sensor and a TOF sensor have high requirements on the position of a user, the user gestures can be recognized only by performing interaction with the sensor in the visual range of the sensor, and the gesture recognition accuracy of the user is low due to the interaction control mode based on the sensor, so that the existing air conditioning control requirements cannot be met.
Disclosure of Invention
The embodiment of the application provides an air conditioner control method, device, equipment and storage medium, and aims to solve the technical problems that the air conditioner interaction control logic is complex and the requirement on user operation is high in the prior art.
In one aspect, an embodiment of the present application provides an air conditioner control method, including:
acquiring original channel state information, and acquiring gesture characteristics carried by the original channel state information;
performing gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features;
and adjusting the running state of the air conditioner according to the control interaction gesture.
In a possible implementation manner of the present application, the acquiring original channel state information and obtaining gesture features carried by the original channel state information includes:
acquiring the original channel state information, and performing outlier filtering on the original state information to obtain preprocessed channel state information;
dividing the preprocessed channel state information along the subcarrier direction of the preprocessed channel state information to generate divided channel state information;
fusing the subcarrier amplitude of each piece of the segmentation channel state information to obtain fused channel state information;
and extracting the gesture features of the original channel state information based on the fusion channel state information.
In a possible implementation manner of the present application, the extracting, based on the fused channel state information, a gesture feature of the original channel state information includes:
inputting the fusion channel state information into a preset moving average model to obtain average channel state information;
performing low-pass noise reduction processing on the average channel state information to obtain noise reduction channel state information;
and performing gesture segmentation on the noise reduction channel state information to obtain the gesture characteristics.
In a possible implementation manner of the present application, the performing gesture segmentation on the noise reduction channel state information to obtain the gesture feature includes:
acquiring a first correlation matrix of a first subcarrier and a second correlation matrix of a second subcarrier in the noise reduction channel state information;
calculating a first eigenvector of the first correlation matrix and a second eigenvector of the second correlation matrix;
judging whether the state information of the noise reduction channel carries gesture features or not according to the first feature vector and the second feature vector;
and if the noise reduction channel state information carries gesture features, separating the gesture features carried in the noise reduction channel state information.
In a possible implementation manner of the present application, the performing gesture recognition on the gesture feature to obtain a control interaction gesture corresponding to the gesture feature includes:
inputting the gesture characteristics into a preset gesture classification model to obtain gesture time domain characteristics and gesture frequency domain characteristics;
and performing gesture recognition on the gesture features according to the gesture time domain features and the gesture frequency domain features to obtain control interaction gestures corresponding to the gesture features.
In a possible implementation manner of the present application, before the inputting the gesture feature into the preset gesture classification model, the method further includes:
generating a preset model, and acquiring training gesture characteristics corresponding to training channel state information;
and inputting the training gesture features and the corresponding training labels into the preset model to perform gesture recognition training, so as to obtain the gesture classification model.
In a possible implementation manner of the present application, the acquiring original channel state information and obtaining gesture features carried by the original channel state information includes:
acquiring the original channel state information, and extracting the phase difference of each subcarrier of the original channel state information;
calculating a phase difference variance corresponding to the phase difference, and comparing the phase difference variance with a preset line-of-sight propagation threshold;
if the phase difference variance is smaller than the sight distance propagation threshold value, extracting gesture features of the original channel state information according to a preset first gesture extraction strategy;
and if the phase variance is larger than a preset sight distance propagation threshold value, extracting the gesture characteristics of the original channel state information according to a preset second gesture extraction strategy.
In another aspect, the present application provides an air conditioner control device including:
the information acquisition module is configured to acquire original channel state information and acquire gesture characteristics carried by the original channel state information;
the gesture recognition module is configured to perform gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features;
and the logic control module is configured to adjust the running state of the air conditioner according to the control interaction gesture.
In another aspect, the present application also provides an air conditioner control apparatus including:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the air conditioner control method.
In another aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to perform the steps of the air conditioner control method.
According to the method, original channel state information in the working environment of the air conditioner is collected, and the original channel state information is analyzed, so that gesture characteristics in the original channel state information are obtained; performing gesture recognition on the gesture characteristics to obtain control interaction gestures corresponding to the gesture characteristics; the control interaction gesture is analyzed, the control interaction command corresponding to the control interaction gesture is determined, the running state of the air conditioner is modulated according to the control interaction command corresponding to the control interaction gesture, passive logic control over the air conditioner can be achieved without facing the air conditioner, the operation burden of a user for controlling the air conditioner is reduced, and the interaction convenience of the air conditioner is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced 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 creative efforts.
FIG. 1 is a schematic view of a scenario of an air conditioner control method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating an embodiment of an air conditioner control method provided in an embodiment of the present application;
fig. 3 is a schematic flowchart of another embodiment of an air conditioner control method provided in an embodiment of the present application;
fig. 4 is a schematic flowchart of a control method of an air conditioner according to another embodiment of the present disclosure;
fig. 5 is a schematic flowchart of a control method of an air conditioner according to still another embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an embodiment of an air conditioner control device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an embodiment of an air conditioner control device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, 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 description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not shown in detail to avoid obscuring the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
At present, the traditional air conditioner control method is that a remote controller is used for controlling, a user aims at the air conditioner through the remote controller to switch on and off the air conditioner and operate the air conditioner, the operation is complicated, the situation that the remote controller cannot be found exists, the air conditioner cannot be controlled when the remote controller does not exist, and the requirement on user operation is high. Other control methods for controlling the air conditioning equipment by recognizing gestures through modules such as a camera, an infrared sensor and a TOF sensor have higher requirements on the position of a user, the gesture of the user can be recognized only by performing interaction on the sensor in the visual range of the sensor, and the gesture recognition accuracy of the user is lower due to a control mode of performing interaction on the basis of the sensor, so that the existing air conditioning control requirements cannot be met.
Based on the above, the application provides an air conditioner control method, an air conditioner control device, air conditioner control equipment and a computer readable storage medium, so as to solve the technical problems that the air conditioner interaction control logic is complicated and the requirement on user operation is high in the prior art.
The air conditioner control method in the embodiment of the invention is applied to an air conditioner control device, the air conditioner control device is arranged in an air conditioner control device, one or more processors, a memory and one or more application programs are arranged in the air conditioner control device, wherein the one or more application programs are stored in the memory and are configured to be executed by the processor to implement the air conditioner control method; the air conditioner control device may be an air conditioner equipped with a channel state information receiving terminal. Optionally, the air conditioner control device may be an air conditioner, or an air conditioner control system composed of an air conditioner and a cloud server.
As shown in fig. 1, fig. 1 is a schematic view of a scenario of an air conditioner control method according to an embodiment of the present disclosure, where the scenario of the air conditioner control includes an air conditioner control device 100 (an air conditioner control device is integrated in the air conditioner control device 100), and a computer-readable storage medium corresponding to the air conditioner control method is run in the air conditioner control device 100 to execute steps of the air conditioner control method.
It should be understood that the air conditioner control device in the scenario of the air conditioner control method shown in fig. 1, or the devices included in the air conditioner control device, do not constitute a limitation to the embodiment of the present invention, that is, the number of devices and the types of devices included in the scenario of the air conditioner control method, or the number of devices and the types of devices included in each device do not affect the overall implementation of the technical solution in the embodiment of the present invention, and all of them can be calculated as equivalent replacements or derivatives of the technical solution claimed in the embodiment of the present invention.
The air conditioner control device 100 in the embodiment of the present invention is mainly used for:
acquiring original channel state information, and acquiring gesture characteristics carried by the original channel state information;
performing gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features;
and adjusting the running state of the air conditioner according to the control interaction gesture.
Embodiments of the present application provide an air conditioner control method, an air conditioner control device, an air conditioner control apparatus, and a computer-readable storage medium, which are described in detail below.
Those skilled in the art can understand that the application environment shown in fig. 1 is only one of the application scenarios related to the present application, and does not constitute a limitation on the application scenario of the present application, and that other application environments may further include more or less air conditioner control devices than those shown in fig. 1, or an air conditioner control network connection relationship, for example, only one air conditioner control device is shown in fig. 1, and it is understood that the scenario of the air conditioner control method may further include one or more air conditioner control devices, and is not limited herein; the air conditioner control device 100 may further include a memory for storing data such as gesture features.
It should be noted that the scene schematic diagram of the air conditioner control method shown in fig. 1 is only an example, and the scene of the air conditioner control method described in the embodiment of the present invention is for more clearly explaining the technical solution of the embodiment of the present invention, and does not constitute a limitation to the technical solution provided in the embodiment of the present invention.
Based on the above scenario of the air conditioner control method, various embodiments of the air conditioner control method disclosed by the present invention are proposed.
As shown in fig. 2, fig. 2 is a schematic flowchart of an embodiment of an air conditioner control method in an embodiment of the present application, where the image processing method includes the following steps 201 to 203:
201. acquiring original channel state information, and acquiring gesture characteristics carried by the original channel state information;
the air conditioner control method in this embodiment is applied to an air conditioner control device, and the type and number of the air conditioner control device are not specifically limited, that is, the air conditioner control device may be an air conditioner equipped with a channel state information receiving terminal, and optionally, the air conditioner control device may also be an air conditioner equipped with a channel state information receiving terminal and a server equipped with a gesture recognition model.
Specifically, the air conditioner control device is provided with a channel state information receiving end for receiving channel state information in an operating environment of the air conditioner control device. Optionally, in a specific embodiment, the signal state receiving end is a software radio and a software radio peripheral (USRP). Optionally, the air conditioner control device may further include a channel state transmitting end, where the channel state transmitting end is configured to transmit the acquired channel state information to a server for processing.
Specifically, the air conditioner control device collects original channel state information in a working area in real time, wherein the original channel state information is a channel attribute of a wireless network communication link and describes a fading factor of a signal on each transmission path, namely a value of each element in a channel gain matrix, such as signal scattering, environment fading, distance fading and other information. The original channel state information in the working area of the air conditioner control device is influenced by the user activity in the working area after being sent by the router, so that the channel state parameters in the original channel state information are changed. Based on the principle, the user activity track can be obtained according to the original channel state information by collecting the original channel state information in the working area. Optionally, the channel state parameters in the original channel state information include amplitude and phase.
Specifically, after receiving original channel state information affected by user activities in a working area through a channel state receiving end, the air conditioner control device performs digital-to-analog conversion on the original channel state information, performs primary filtering on the original channel state information after the digital-to-analog conversion, performs signal amplification on the filtered original channel state information, and demodulates the original channel state information after the signal amplification, thereby obtaining original channel state amplitude information.
Specifically, after acquiring the original channel state amplitude information, the air conditioner control device further performs outlier filtering and segmentation fusion on the original channel state amplitude to obtain fused channel state information, performs gesture segmentation on the fused channel state information, and separates out static gesture features and dynamic gesture features in the fused channel state information.
Optionally, the air conditioner control device may perform segmentation fusion and gesture segmentation in the air conditioner control device according to different calculated forces of the internal processing chip; or after demodulating the original channel state information, transmitting the demodulated original channel state amplitude information to a cloud server associated with the air conditioner control device, performing outlier filtering and segmentation fusion in the cloud server, performing gesture segmentation on the fusion channel state information, and separating static gesture features and dynamic gesture features in the fusion channel state information.
202. Performing gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features;
in this embodiment, after the air conditioner control device segments the static gesture features and the dynamic gesture features in the fusion channel state information locally or in a cloud, gesture recognition is performed on the dynamic gesture features to obtain a control interaction gesture corresponding to the dynamic gesture features.
Specifically, after the air conditioner control equipment is started at power-on state, a preset model is preset, after the preset model is generated, a plurality of training channel state information influenced by training gesture actions are collected, the training channel state information and training labels corresponding to the training gesture actions are input into the preset model to perform gesture recognition training on the preset model, and a gesture classification model is obtained after the model is converged. Optionally, in a specific embodiment, the classification algorithm of the gesture classification model is an SVM support vector machine.
Specifically, the air conditioner control device inputs the dynamic gesture features into the gesture classification model, extracts gesture time domain features and gesture frequency domain features in the dynamic gesture features, and determines control interaction gestures corresponding to the gesture time domain features and the gesture frequency domain features. The control interaction gesture is a gesture action which is preset by the air conditioner control equipment or the cloud server and is associated with the relevant control interaction instruction.
Optionally, the gesture classification model may be set in the air conditioner control device, and may also be set in a cloud server remotely connected to the air conditioner control device. That is, the air conditioner control device may perform gesture recognition on the dynamic gesture features locally; the dynamic gesture features can be input into a gesture classification model arranged in the cloud server for gesture recognition, and recognized control interaction gestures are transmitted to the air conditioner control equipment.
203. And adjusting the running state of the air conditioner according to the control interaction gesture.
In this embodiment, the air conditioner control device analyzes the dynamic gesture feature through a local or cloud end, and modulates the operating state of the air conditioner according to the control interaction gesture after obtaining the control interaction gesture corresponding to the dynamic gesture feature.
Specifically, when the air conditioner control device is in factory setting, a plurality of control interaction gestures and logic interaction instructions corresponding to the control interaction gestures one to one are stored in advance. And in the operation process of the air conditioner control equipment, acquiring original channel state information in a working area, analyzing and acquiring gesture characteristics in the original channel state information, identifying the gesture characteristics, determining a control interaction gesture corresponding to the gesture characteristics, triggering a corresponding logic interaction instruction according to the control interaction gesture, and further driving the air conditioner control equipment to modulate the operation state of the air conditioner.
Optionally, in a specific embodiment, the control interaction gesture preset by the air conditioner control device includes one-hand circle drawing and hand raising and then hand releasing, and the logic interaction instruction corresponding to the one-hand circle drawing gesture is that the air conditioner is turned on; and the logic interaction instruction corresponding to the hand-lifting and hand-releasing gesture is the air conditioner shutdown.
Optionally, in other embodiments, the air conditioner control device may further set another control interaction gesture and associate a related logic interaction instruction, for example, the air conditioner control device may further generate a control interaction gesture, and set the logic interaction instruction corresponding to the control interaction gesture to increase the temperature; the air conditioner control device can also generate another control interaction gesture, and set the logic interaction instruction corresponding to the control interaction gesture to reduce the temperature. The air conditioner control equipment can also generate another control interaction gesture, and a logic interaction instruction corresponding to the control interaction gesture is set to be the operation switching mode.
Optionally, in a specific embodiment, the air conditioner control device receives original channel state information through a channel state receiving end, performs digital-to-analog conversion, filtering, signal amplification, signal demodulation and the like on the original channel state information, and transmits the processed original channel state information to the cloud server, the cloud server receives the original channel state information, performs outlier removal and segmentation fusion on the original channel state information to obtain fusion channel state information, extracts gesture features in the fusion channel state information, inputs the gesture features into a gesture classification model preset by the cloud server to obtain a control interaction gesture corresponding to the gesture features, namely, raising and releasing the hands, the cloud server transmits the control interaction gesture of raising and releasing the hands back to the air conditioner control device, and after the air conditioner control device receives the control interaction gesture of raising and releasing the hands, it is determined that a logic interaction instruction sent by a user is to turn off the air conditioner, and the air conditioner control device controls the air conditioner to stop operating according to the logic interaction instruction.
In this embodiment, the air conditioner control device acquires gesture features in original channel state information by acquiring the original channel state information in the air conditioner working environment and analyzing the original channel state information; performing gesture recognition on the gesture characteristics to obtain control interaction gestures corresponding to the gesture characteristics; the control interaction gesture is analyzed, the control interaction command corresponding to the control interaction gesture is determined, the running state of the air conditioner is modulated according to the control interaction command corresponding to the control interaction gesture, passive logic control over the air conditioner can be achieved without facing the air conditioner, the defect that the existing air conditioner interaction mode necessarily faces the air conditioner is overcome, the operation burden of a user for controlling the air conditioner is reduced, and the interaction convenience of the air conditioner is improved.
As shown in fig. 3, fig. 3 is a schematic flowchart of another embodiment of an air conditioner control method provided in the embodiment of the present application.
Based on the above embodiments, the air conditioner control method provided by the present application further includes steps 301 to 304:
301. acquiring the original channel state information, and performing outlier filtering on the original channel state information to obtain preprocessed channel state information;
302. dividing the preprocessed channel state information along the subcarrier direction of the preprocessed channel state information to generate divided channel state information;
303. fusing the subcarrier amplitude of each piece of the partitioned channel state information to obtain fused channel state information;
304. and extracting the gesture features of the original channel state information based on the fusion channel state information.
In this embodiment, after the air conditioner control device processes the original channel state information, the processed original channel state information is subjected to outlier filtering and segmentation fusion locally or in a cloud.
Specifically, the change of the signal transmission power or the signal transmission rate may cause the original channel state information to generate some outliers far away from the original channel state information, which may cause interference to subsequent gesture recognition, and therefore the outliers in the original channel state information need to be filtered. Specifically, the original channel state information is input into a Hampel filter, and the Hampel filter is called to filter an outlier of which the deviation degree exceeds a preset deviation degree threshold value in the original channel state information, so that preprocessed channel state information is obtained. Optionally, the deviation threshold may be set in a user-defined manner according to actual application requirements.
After the preprocessed channel state information is obtained, the air conditioner control device or the cloud server divides the preprocessed channel state information along the subcarrier direction of the preprocessed channel state information to obtain divided channel state information, the subcarrier amplitudes of a plurality of subcarriers in each divided channel state information are fused to form a channel state information time sequence, and the channel state information time sequence is marked as the fused channel state information. Wherein, the expression formula of the fusion channel state information is
Wherein the first and second reference voltages, θ i,
respectively representing the subcarrier set and the number of subcarriers of the ith corresponding channel state information segment in the fusion channel state information; f. of i The central sub-carrier frequency of the ith corresponding channel state information segment in the fusion channel state information; n is a radical of θ Is the total number of segments.
After acquiring the fusion channel state information, the air conditioner control device or the cloud server also inputs the fusion channel state information into a preset moving average model, and calls the moving average model to perform weighted moving average operation on the fusion channel state information, so as to generate average channel state information.
After the air conditioner control device or the cloud server acquires the average channel state information, low-pass noise reduction processing is performed on the average channel state information, and environmental noise and high-frequency noise in the average channel state information are filtered out, so that noise reduction channel state information is obtained.
After acquiring the noise reduction channel state information, the air conditioner control device or the cloud server performs gesture segmentation operation on the noise reduction channel state information, extracts static gesture features and dynamic gesture features in the noise reduction channel state information, inputs the dynamic gesture features into a preset gesture classification model after acquiring the dynamic gesture features, and identifies the dynamic gesture features based on the gesture classification model, so that control interaction gestures corresponding to the dynamic gesture features are acquired, and the running state of the air conditioner is adjusted according to the interaction gestures.
In this embodiment, after acquiring original channel state information, the air conditioner control device filters an outlier in the original channel state information to obtain preprocessed channel state information; dividing the preprocessed channel state information along the subcarrier direction of the preprocessed channel state information to generate divided channel state information; fusing the subcarrier amplitude of each piece of the segmentation channel state information to obtain fused channel state information; and extracting the gesture features of the original channel state information based on the fusion channel state information. The influence of single subcarrier fluctuation on gesture feature acquisition is reduced, and the success rate of gesture feature extraction is improved.
As shown in fig. 4, fig. 4 is a schematic flowchart of another embodiment of the air conditioner control method provided in the embodiment of the present application.
Based on the above embodiments, the air conditioner control method provided by the present application further includes steps 401 to 404:
401. acquiring a first correlation matrix of a first subcarrier and a second correlation matrix of a second subcarrier in the noise reduction channel state information;
402. calculating a first eigenvector of the first correlation matrix and a second eigenvector of the second correlation matrix;
403. judging whether the state information of the noise reduction channel carries gesture features or not according to the first feature vector and the second feature vector;
404. and if the noise reduction channel state information carries gesture features, separating the gesture features carried in the noise reduction channel state information.
In this embodiment, after the air conditioner control device or the cloud server obtains the noise reduction channel information, the subcarrier correlation segmentation is performed on the noise reduction channel information, so as to extract the gesture features of the noise reduction channel state information.
Specifically, the air conditioner control device or the cloud server obtains a first correlation matrix of a first subcarrier and a second correlation matrix of a second subcarrier in the noise reduction channel state information. After the first correlation matrix and the second correlation matrix are obtained, a first eigenvector and a first eigenvalue of the first correlation matrix are calculated, and a second eigenvector and a second eigenvalue of the second correlation matrix are calculated. And the second subcarrier is adjacent subcarrier of the first subcarrier.
And the air conditioner control equipment or the cloud server judges the gesture characteristic condition of the noise reduction channel information according to the calculated first characteristic vector and the second characteristic vector. Specifically, when a user in a working area of the air conditioner control device makes a corresponding gesture, correlation exists among subcarriers of the acquired noise reduction channel information, and the second eigenvector changes steadily; and when no gesture action exists, the change of each feature vector is irregular, on the basis, principal component analysis processing is carried out on the first feature vector and the second feature vector, the second principal component variance of the first feature vector is obtained, the ratio between the second principal component variance and the average value of the difference value of the second feature vector is calculated, and the ratio is compared with a preset gesture judgment threshold value, so that the carrying condition of the gesture feature is judged.
Optionally, if the ratio is smaller than a preset gesture judgment threshold, judging that the gesture feature carrying condition is not carrying the gesture feature;
optionally, if the ratio is greater than a preset gesture determination threshold, it is determined that the gesture feature carrying condition is a carried gesture feature.
After the gesture feature carrying condition is determined to be the gesture feature carrying condition, gesture segmentation is carried out on the noise reduction channel state information, static gesture features and dynamic gesture features in the fusion channel state information are separated out, the dynamic gesture features are input into a gesture classification model, gesture time domain features and gesture frequency domain features in the dynamic gesture features are extracted, and control interaction gestures corresponding to the gesture time domain features and the gesture frequency domain features are determined.
And after the air conditioner control equipment acquires the control interaction gesture, executing corresponding logic control processing according to the control interaction gesture, thereby adjusting the running state of the air conditioner.
In this embodiment, after the air conditioner control device or the cloud server obtains the noise reduction channel state information, the subcarrier correlation segmentation is performed on the noise reduction channel state information, so as to extract the gesture features of the noise reduction channel state information. And acquiring a corresponding control interaction gesture according to the gesture characteristics, recognizing a logic control instruction corresponding to the control interaction gesture, adjusting the running state of the air conditioner according to the logic control instruction, realizing passive control of the air conditioner according to the state information of the noise reduction channel, and reducing the operation burden of air conditioner control.
As shown in fig. 5, fig. 5 is a schematic flowchart of a control method of an air conditioner according to another embodiment of the present application.
Based on the above embodiment, the air conditioner control method provided by the present application further includes steps 501 to 504:
501. acquiring the original channel state information, and extracting the phase difference of each subcarrier of the original channel state information;
502. calculating a phase difference variance corresponding to the phase difference, and comparing the phase difference variance with a preset line-of-sight propagation threshold;
503. if the phase difference variance is smaller than the sight distance propagation threshold value, extracting the gesture features of the original channel state information according to a preset first gesture extraction strategy;
504. and if the phase variance is larger than a preset sight distance propagation threshold value, extracting the gesture characteristics of the original channel state information according to a preset second gesture extraction strategy.
In this embodiment, after receiving original channel state information affected by user activities in a working area through a channel state receiving end, the air conditioner control device extracts a phase difference of each subcarrier in the original channel state information.
Specifically, the original channel state information influenced by the motion of the user has influence on the phase difference of the subcarriers in different propagation processes, so that the distribution condition of different phase differences is obtained, and the subsequent gesture recognition is influenced to a certain extent. After the air conditioner control equipment acquires the phase difference of each subcarrier, the phase difference variance corresponding to the phase difference of each subcarrier is calculated, the phase difference variance is compared with a preset line-of-sight propagation threshold value, and the propagation type of the original channel state information is determined according to a comparison structure.
Optionally, if the phase difference variance of the original channel state propagation information is smaller than a preset line-of-sight propagation threshold, it is determined that the original channel state information is the line-of-sight channel state information, that is, a path through which the wireless signal is transmitted from the router to the receiving end of the air conditioner control device is not blocked, and the propagation mode is line-of-sight propagation. After the air conditioner control equipment determines that the original channel state information is the sight distance channel state information, extracting gesture features in the sight distance propagation channel state information according to a preset first gesture extraction strategy. The first gesture extraction strategy is a gesture extraction strategy aiming at the sight distance propagation channel state information.
Optionally, if the phase difference variance of the original channel state propagation information is greater than a preset line-of-sight propagation threshold, it is determined that the original channel state information is non-line-of-sight channel state information, that is, the wireless signal is transmitted from the router and then reaches the receiving end of the air conditioner control device through the paths of reflection, refraction, scattering and the like of other objects, and the propagation mode is non-line-of-sight propagation. And after the air conditioner control equipment determines that the original channel state information is the non-line-of-sight channel state information, extracting gesture features in the non-line-of-sight propagation channel state information according to a preset second gesture extraction strategy. The second gesture extraction strategy is a gesture extraction strategy aiming at the non-line-of-sight propagation channel state information.
In this embodiment, the air conditioner control device calculates a phase difference variance corresponding to the phase difference by extracting the phase difference of each subcarrier of the original channel state information, compares the phase difference variance with a preset line-of-sight propagation threshold, determines a propagation mode of the original channel state information according to a comparison structure, and selects different gesture extraction strategies according to the original channel state information of different propagation modes, thereby improving success rate and accuracy of gesture extraction.
In order to better implement the air conditioner control method in the embodiment of the present application, on the basis of the air conditioner control method, an air conditioner control device is further provided in the embodiment of the present application, as shown in fig. 6, fig. 6 is a schematic structural diagram of an embodiment of the air conditioner control device provided in the embodiment of the present application, and the air conditioner control device 600 includes:
the information acquisition module 601 is configured to acquire original channel state information and acquire gesture features carried by the original channel state information;
a gesture recognition module 602 configured to perform gesture recognition on the gesture feature to obtain a control interaction gesture corresponding to the gesture feature;
and a logic control module 603 configured to adjust an operation state of the air conditioner according to the control interaction gesture.
In some embodiments of the present application, an air conditioner control device collects original channel state information, and obtains gesture features carried by the original channel state information, including:
acquiring the original channel state information, and performing outlier filtering on the original channel state information to obtain preprocessed channel state information;
dividing the preprocessed channel state information along the subcarrier direction of the preprocessed channel state information to generate divided channel state information;
fusing the subcarrier amplitude of each piece of the segmentation channel state information to obtain fused channel state information;
and extracting the gesture features of the original channel state information based on the fusion channel state information.
In some embodiments of the present application, the air conditioner control device extracting the gesture feature of the original channel state information based on the fused channel state information includes:
inputting the fusion channel state information into a preset moving average model to obtain average channel state information;
performing low-pass noise reduction processing on the average channel state information to obtain noise reduction channel state information;
and performing gesture segmentation on the noise reduction channel state information to obtain the gesture characteristics.
In some embodiments of the present application, the air conditioner control device performs gesture segmentation on the noise reduction channel state information to obtain the gesture feature, including:
acquiring a first correlation matrix of a first subcarrier and a second correlation matrix of a second subcarrier in the noise reduction channel state information;
calculating a first eigenvector of the first correlation matrix and a second eigenvector of the second correlation matrix;
judging whether the state information of the noise reduction channel carries gesture features or not according to the first feature vector and the second feature vector;
and if the noise reduction channel state information carries gesture features, separating the gesture features carried in the noise reduction channel state information.
In some embodiments of the present application, the performing, by the air conditioner control device, gesture recognition on the gesture feature to obtain a control interaction gesture corresponding to the gesture feature includes:
inputting the gesture characteristics into a preset gesture classification model to obtain gesture time domain characteristics and gesture frequency domain characteristics;
and performing gesture recognition on the gesture features according to the gesture time domain features and the gesture frequency domain features to obtain control interaction gestures corresponding to the gesture features.
In some embodiments of the present application, before the air conditioner control device inputs the gesture feature into a preset gesture classification model, the method further includes:
generating a preset model, and acquiring training gesture characteristics corresponding to the training channel state information;
and inputting the training gesture features and the corresponding training labels into the preset model to perform gesture recognition training, so as to obtain the gesture classification model.
In some embodiments of the present application, an air conditioner control device collects original channel state information, and obtains gesture features carried by the original channel state information, including:
acquiring the original channel state information, and extracting the phase difference of each subcarrier of the original channel state information;
calculating a phase difference variance corresponding to the phase difference, and comparing the phase difference variance with a preset sight distance propagation threshold value;
if the phase difference variance is smaller than the sight distance propagation threshold value, extracting gesture features of the original channel state information according to a preset first gesture extraction strategy;
and if the phase variance is larger than a preset sight distance propagation threshold value, extracting the gesture characteristics of the original channel state information according to a preset second gesture extraction strategy.
In this embodiment, the air conditioner control device acquires gesture features in original channel state information by acquiring the original channel state information in the working environment of the air conditioner and analyzing the original channel state information; performing gesture recognition on the gesture characteristics to obtain control interaction gestures corresponding to the gesture characteristics; the control interaction gesture is analyzed, the control interaction command corresponding to the control interaction gesture is determined, the running state of the air conditioner is modulated according to the control interaction command corresponding to the control interaction gesture, passive logic control over the air conditioner can be achieved without facing the air conditioner, the operation burden of a user for controlling the air conditioner is reduced, and the interaction convenience of the air conditioner is improved.
An embodiment of the present invention further provides an air conditioner control device, as shown in fig. 7, fig. 7 is a schematic structural diagram of an embodiment of the air conditioner control device provided in the embodiment of the present application.
An air conditioner control device incorporating any one of the air conditioner control apparatuses provided in the embodiments of the present invention includes:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor for performing the steps of the air conditioner control method in any of the above embodiments of the air conditioner control method.
Specifically, the method comprises the following steps: the air conditioner control apparatus may include components such as a processor 701 of one or more processing cores, a memory 702 of one or more computer-readable storage media, a power supply 703, and an input unit 704. Those skilled in the art will appreciate that the configuration of the air conditioner control device shown in fig. 7 does not constitute a limitation of the air conditioner control device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 701 is a control center of the air conditioner control apparatus, connects various parts of the entire air conditioner control apparatus using various interfaces and lines, and performs various functions of the air conditioner control apparatus and processes data by running or executing software programs and/or modules stored in the memory 702 and calling data stored in the memory 702, thereby performing overall monitoring of the air conditioner control apparatus. Optionally, processor 701 may include one or more processing cores; preferably, the processor 701 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 701.
The memory 702 may be used to store software programs and modules, and the processor 701 executes various functional applications and data processing by operating the software programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the air conditioner control apparatus, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 702 may also include a memory controller to provide the processor 701 with access to the memory 702.
The air conditioner control device further includes a power source 703 for supplying power to each component, and preferably, the power source 703 may be logically connected to the processor 701 through a power management system, so as to implement functions of managing charging, discharging, power consumption, and the like through the power management system. The power supply 703 may also include any component including one or more of a dc or ac power source, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The air conditioner control apparatus may further include an input unit 704, and the input unit 704 may be used to receive input numeric or character information and generate a keyboard, mouse, joystick, optical or trackball signal input in relation to user setting and function control.
Although not shown, the air conditioner control device may further include a display unit and the like, which will not be described herein. Specifically, in this embodiment, the processor 701 in the air conditioner control device loads an executable file corresponding to a process of one or more application programs into the memory 702 according to the following instructions, and the processor 701 runs the application programs stored in the memory 702, so as to implement various functions as follows:
acquiring original channel state information, and acquiring gesture characteristics carried by the original channel state information;
performing gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features;
and adjusting the running state of the air conditioner according to the control interaction gesture.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed descriptions of other embodiments, and are not described herein again.
In a specific implementation, each unit or structure may be implemented as an independent entity, or may be combined arbitrarily to be implemented as one or several entities, and the specific implementation of each unit or structure may refer to the foregoing method embodiment, which is not described herein again.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
The air conditioner control method provided by the embodiment of the present application is described in detail above, and the principle and the implementation manner of the present invention are explained in the present application by applying specific examples, and the description of the above embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (7)
1. An air conditioner control method, characterized by comprising:
acquiring original channel state information, performing outlier filtering on the original channel state information to obtain preprocessed channel state information, and segmenting the preprocessed channel state information along the subcarrier direction of the preprocessed channel state information to generate segmented channel state information;
fusing the subcarrier amplitude of each piece of the segmented channel state information to obtain fused channel state information, and inputting the fused channel state information into a preset sliding average model to obtain average channel state information;
performing low-pass noise reduction on the average channel state information to obtain noise reduction channel state information, acquiring a first correlation matrix of a first subcarrier and a second correlation matrix of a second subcarrier in the noise reduction channel state information, and calculating a first eigenvector of the first correlation matrix and a second eigenvector of the second correlation matrix;
performing principal component analysis processing on the first feature vector and the second feature vector to obtain a second principal component variance of the first feature vector, calculating a ratio between the second principal component variance and an average value of a difference value of the second feature vector, comparing the ratio with a preset gesture judgment threshold, and judging whether the noise reduction channel state information carries gesture features;
if the noise reduction channel state information carries gesture features, separating the gesture features carried in the noise reduction channel state information, and performing gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features;
and adjusting the running state of the air conditioner according to the control interaction gesture.
2. The air conditioner control method according to claim 1, wherein the performing gesture recognition on the gesture feature to obtain a control interaction gesture corresponding to the gesture feature comprises:
inputting the gesture characteristics into a preset gesture classification model to obtain gesture time domain characteristics and gesture frequency domain characteristics;
and performing gesture recognition on the gesture features according to the gesture time domain features and the gesture frequency domain features to obtain control interaction gestures corresponding to the gesture features.
3. The air conditioner control method as claimed in claim 2, wherein before the inputting the gesture feature into the preset gesture classification model, the method further comprises:
generating a preset model, and acquiring training gesture characteristics corresponding to training channel state information;
and inputting the training gesture features and the corresponding training labels into the preset model to perform gesture recognition training, so as to obtain the gesture classification model.
4. The air conditioner control method as claimed in claim 1, wherein the collecting of original channel state information and the obtaining of the gesture feature carried by the original channel state information comprises:
acquiring the original channel state information, and extracting the phase difference of each subcarrier of the original channel state information;
calculating a phase difference variance corresponding to the phase difference, and comparing the phase difference variance with a preset sight distance propagation threshold value;
if the phase difference variance is smaller than the sight distance propagation threshold value, extracting gesture features of the original channel state information according to a preset first gesture extraction strategy;
and if the phase difference variance is larger than a preset sight distance propagation threshold value, extracting the gesture characteristics of the original channel state information according to a preset second gesture extraction strategy.
5. An air conditioner control device characterized by comprising:
an information acquisition module configured to acquire original channel state information, perform outlier filtering on the original channel state information to obtain preprocessed channel state information, and segment the preprocessed channel state information along a subcarrier direction of the preprocessed channel state information to generate segmented channel state information; fusing the subcarrier amplitude of each piece of the segmented channel state information to obtain fused channel state information, and inputting the fused channel state information into a preset sliding average model to obtain average channel state information; performing low-pass noise reduction processing on the average channel state information to obtain noise reduction channel state information; acquiring a first correlation matrix of a first subcarrier and a second correlation matrix of a second subcarrier in the noise reduction channel state information, and calculating a first eigenvector of the first correlation matrix and a second eigenvector of the second correlation matrix; performing principal component analysis processing on the first feature vector and the second feature vector to obtain a second principal component variance of the first feature vector, calculating a ratio between the second principal component variance and an average value of difference values of the second feature vectors, comparing the ratio with a preset gesture judgment threshold, and judging whether the state information of the noise reduction channel carries gesture features;
the gesture recognition module is configured to separate the gesture features carried in the noise reduction channel state information and perform gesture recognition on the gesture features to obtain control interaction gestures corresponding to the gesture features if the noise reduction channel state information carries the gesture features;
and the logic control module is configured to adjust the running state of the air conditioner according to the control interaction gesture.
6. An air conditioner control apparatus characterized by comprising:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the air conditioner control method of any one of claims 1 to 4.
7. A computer-readable storage medium, having stored thereon a computer program to be loaded by a processor for performing the steps of the air conditioner control method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111512328.8A CN114198875B (en) | 2021-12-08 | 2021-12-08 | Air conditioner control method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111512328.8A CN114198875B (en) | 2021-12-08 | 2021-12-08 | Air conditioner control method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114198875A CN114198875A (en) | 2022-03-18 |
| CN114198875B true CN114198875B (en) | 2023-03-10 |
Family
ID=80652573
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111512328.8A Active CN114198875B (en) | 2021-12-08 | 2021-12-08 | Air conditioner control method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114198875B (en) |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5858850B2 (en) * | 2012-04-02 | 2016-02-10 | 三菱電機株式会社 | Air conditioner indoor unit |
| CN104422066B (en) * | 2013-08-23 | 2017-03-15 | 珠海格力电器股份有限公司 | The system of intelligent air condition control, method and air-conditioning |
| CN104467990B (en) * | 2014-11-26 | 2016-11-30 | 清华大学 | A kind of method and device in the line-of-sight propagation path identifying wireless signal |
| CN108844186A (en) * | 2018-03-30 | 2018-11-20 | 广东美的制冷设备有限公司 | Control method, air conditioner and the computer readable storage medium of air conditioner |
| CN110414468B (en) * | 2019-08-05 | 2022-10-21 | 合肥工业大学 | Identity verification method based on gesture signal in WiFi environment |
| CN113359816B (en) * | 2021-05-21 | 2022-07-15 | 中国人民解放军陆军工程大学 | Unmanned aerial vehicle control method and system based on wireless gesture recognition |
| CN113609976B (en) * | 2021-08-04 | 2023-07-21 | 燕山大学 | Direction-sensitive multi-gesture recognition system and method based on WiFi equipment |
-
2021
- 2021-12-08 CN CN202111512328.8A patent/CN114198875B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN114198875A (en) | 2022-03-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10943091B2 (en) | Facial feature point tracking method, apparatus, storage medium, and device | |
| US20210049386A1 (en) | Driving state monitoring methods and apparatuses, driver monitoring systems, and vehicles | |
| US9465997B2 (en) | System and method for detection and tracking of moving objects | |
| US20200082635A1 (en) | Augmented reality processing method, object recognition method, and related device | |
| EP3572974B1 (en) | Method and device for sending warning message | |
| CN111260665A (en) | Image segmentation model training method and device | |
| US11328044B2 (en) | Dynamic recognition method and terminal device | |
| WO2017092224A1 (en) | Rfid-based gesture recognition method and system | |
| JP4738914B2 (en) | Monitoring system, monitoring method, and monitoring program | |
| CN108121350B (en) | Method for controlling aircraft to land and related device | |
| CN109460706B (en) | Eyeball tracking information processing method and device applied to terminal | |
| CN112217699A (en) | Control method and device of intelligent household equipment | |
| CN109163422A (en) | Air conditioner and its control method, device and computer readable storage medium | |
| US11651622B2 (en) | Method, device and non-transitory computer readable medium of facial recognition | |
| CN114198875B (en) | Air conditioner control method, device, equipment and storage medium | |
| CN105988580A (en) | Screen control method and device of mobile terminal | |
| CN107832714B (en) | Living body identification method and device and storage equipment | |
| CN115421591B (en) | Gesture control device and image pickup apparatus | |
| CN111402271A (en) | Image processing method and electronic equipment | |
| CN113009931B (en) | Man-machine and unmanned-machine mixed formation cooperative control device and method | |
| CN114593081A (en) | Intelligent control method and device, storage medium and terminal equipment | |
| KR20220165092A (en) | Gesture classifier learning method and gesture inference method using the same | |
| CN112581981A (en) | Human-computer interaction method and device, computer equipment and storage medium | |
| CN114140864B (en) | Trajectory tracking method and device, storage medium and electronic equipment | |
| CN112578909B (en) | Method and device for equipment interaction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |