CN106569600A - Gesture verification method and device for controlling air conditioners - Google Patents
Gesture verification method and device for controlling air conditioners Download PDFInfo
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- CN106569600A CN106569600A CN201610939655.4A CN201610939655A CN106569600A CN 106569600 A CN106569600 A CN 106569600A CN 201610939655 A CN201610939655 A CN 201610939655A CN 106569600 A CN106569600 A CN 106569600A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
The invention discloses a gesture verification method and device for controlling air conditioners. The verification method comprises the following steps of: 1, acquiring an image in a front area of an air conditioner; 2, recognizing a gesture in the image; 3 detecting whether a human body or a human face exists in the vicinity of the gesture in the image or not, and if the detection result is positive, executing the step 4; and 4, determining that the gesture recognition is effective and controlling the air conditioner by utilizing a command corresponding to the gesture. The invention furthermore discloses the gesture verification device for controlling air conditioners, and the verification device comprises an acquisition module, a recognition module and a judgement module, which are connected in sequence. The method and device disclosed by the invention can be applied in complicated family environment to effectively shielding the false gesture recognition, so that the gestures or gesture sequences expressing the real intentions of the users can be recognized and the correctness of controlling air conditioners by gestures is improved.
Description
Technical field
The present invention relates to intelligent air condition technical field, specifically for, the present invention is a kind of handss for controlling air-conditioning
Gesture method of calibration and device.
Background technology
In prior art, although air-conditioning can be controlled by way of existing gesture identification, but, traditional scheme is only
The discriminatory analysiss to the gesture sequence of operation are relied on, does not take into account family's use environment.Due to the complexity of domestic environment,
Very likely can due to ornament, artware and cause gesture identification false triggering, so as to cause air-conditioning misoperation, affect user's
Experience, and false triggering air-conditioning can waste the energy, the service life of impact air-conditioning.
Therefore, how to avoid gesture identification false triggering, avoid air-conditioning maloperation, improve gesture identification reliability and
Verity, becomes the emphasis of those skilled in the art's technical problem urgently to be resolved hurrily and research.
The content of the invention
Existing gesture identification false triggering, air-conditioning maloperation brought due to the complexity of domestic environment for solution etc. is asked
Topic, the invention discloses a kind of gesture method of calibration and device for controlling air-conditioning, the gesture to recognizing is verified, entered
And judge the effective or invalid conclusion of gesture identification, dramatically avoid gesture identification false triggering, air-conditioning maloperation etc. and ask
Topic.
To realize above-mentioned technical purpose, the invention discloses a kind of gesture method of calibration for controlling air-conditioning, the verification
Method comprises the steps：
Step 1, gathers the image of air-conditioning forefoot area；
Step 2, identifies the gesture in image；
Step 3, with the presence or absence of human body or face near gesture in detection image, if it is present execution step 4；
Step 4, this gesture identification effectively, using the corresponding order of this gesture air-conditioning is controlled.
Whether whether effectively the present invention innovatively verifies gesture by human body or face, judge gesture by manipulation air-conditioning
Person sends, it is to avoid ornament, artware and cause the problem of gesture identification false triggering, improve the effectiveness of gesture identification, true
Reality and reliability.
Further, in step 3, if there is no human body and face, execution step 5 near gesture；
Step 5, calculates the area ratio that handss are occupied in image, if the area ratio is more than first threshold, performs
Step 4.
If subscriber station is being immediated vicinity apart from acquisition module camera lens, now possible whole picture is mainly by the handss of user
The palm is occupied, and in the case where area ratio is more than first threshold, even if there be no human body and face, then this identification still has
Effect, solves the problems, such as near apart from camera lens and cannot collect human body, the first-class information of people.
Further, in step 5, if the area ratio is less than or equal to first threshold, execution step 6；
Step 6, the position of gesture in detection image, if the gesture is in image border；Then execution step 4.
Both without human body and people's header and palm footprint area ratio less than or equal to first threshold in the case of, if
Gesture then illustrates that gesture control person stands at the edge of photographic head visual field in image border, and now gesture identification is still effective.
Further, in step 6, if the gesture is not in image border, this gesture identification failure.
Further, in step 3, if there is human body or face near gesture, the human body or face and gesture
The distance between be more than Second Threshold, then skip step 4, the failure of this gesture identification.
Certainly, even if detecting human body or face, if human body or face are excessive with the distance between gesture, illustrate
Gesture is simultaneously not belonging to the effector with the human body or face, this time gesture control failure.
The invention also discloses a kind of gesture calibration equipment for controlling air-conditioning, the calibration equipment includes what is be sequentially connected
Acquisition module, identification module, judge module；
The acquisition module, gathers the image of air-conditioning forefoot area；
The identification module, identifies the gesture in image；
The judge module, with the presence or absence of human body or face near gesture in detection image, if it is present this hands
Gesture identification is effective, using the corresponding order control air-conditioning of this gesture.
Whether whether effectively the present invention innovatively verifies gesture by human body or face, judge gesture by manipulation air-conditioning
Person sends, it is to avoid ornament, artware and cause the problem of gesture identification false triggering, improve the effectiveness of gesture identification, true
Reality and reliability.
Further, the calibration equipment also includes computing module, if there is no human body and face near gesture, calculates mould
Block calculates the area ratio that handss are occupied in image；If judge module judges that the area ratio is more than first threshold, this
Gesture identification effectively, using the corresponding order of this gesture air-conditioning is controlled.
If subscriber station is being immediated vicinity apart from acquisition module camera lens, now possible whole picture is mainly by the handss of user
The palm is occupied, and in the case where area ratio is more than first threshold, even if there be no human body and face, then this identification still has
Effect, solves the problems, such as near apart from camera lens and cannot collect human body, the first-class information of people.
Further, if it is determined that module judges the area ratio less than or equal to first threshold, then identification module inspection
The position of gesture in altimetric image, judge module detects the gesture in image border, then this gesture identification is effective, utilizes this
The corresponding order control air-conditioning of gesture.
Both without human body and people's header and palm footprint area ratio less than or equal to first threshold in the case of, if
Gesture then illustrates that gesture control person stands at the edge of photographic head visual field in image border, and now gesture identification is still effective.
Further, if it is determined that module detects the gesture not in image border, then this gesture identification failure.
Further, there is human body or face, the human body or face in judge module detection image near gesture
It is more than Second Threshold with the distance between gesture, then this gesture identification failure.
Further, acquisition module is the combination of photographic head or photographic head and depth transducer.
Further, the calibration equipment also includes memory module, and the memory module is used for storage image.
Beneficial effects of the present invention are：The present invention can be applied under complicated home environment, can effectively mask falseness
Gesture identification, the gesture or gesture sequence for enabling expression user's true intention recognize, improves the accurate of gesture control air-conditioning
Property.
Description of the drawings
Fig. 1 is the gesture method of calibration schematic flow sheet for controlling air-conditioning.
Fig. 2 is the gesture calibration equipment composition schematic diagram for controlling air-conditioning.
Specific embodiment
Detailed explanation is carried out to the gesture method of calibration for controlling air-conditioning of the present invention with reference to Figure of description
And explanation.
Embodiment one：
As shown in Figure 1, 2, the invention discloses a kind of gesture method of calibration for controlling air-conditioning, the method for calibration includes
Following steps：
Step 1, gathers the image of air-conditioning forefoot area；" the air-conditioning forefoot area " of the present invention can be regarded as conventional gesture control
Any place of air-conditioning, such as, just to the position of air-conditioning, user is typically in " air-conditioning forefoot area " to control air-conditioning.
Step 2, identifies the gesture in image；Images of gestures of the present invention in advance to setting carries out adopting for great amount of samples
Sorter model is obtained after collection, machine learning.By scanning and calculating with this sorter model to real time picture, picture is obtained
In meet setting gesture position and size.The gesture for setting in advance is as one or more following：1. the five fingers open, just to taking the photograph
As the palm of head；2. several fingers are stretched out, just to the various gestures of photographic head；3. the fist heart or finger joint are just to the fist of photographic head
Head；For the identification of gesture or gesture sequence, according to the gesture classification of all pictures, the output result of position in above several seconds,
To judge which kind of default gesture sequence belonged to, finally control air-conditioning and carry out corresponding operation.Default gesture sequence is following
One or more：A) palm stops sequence：1. gesture continues the 2-3 seconds；B grasp fist sequence) is stretched：1. gesture continues several figures
Afterwards, there are gesture 3. several figures；C) independent gesture sequence：2. gesture continues the 2-3 seconds.The corresponding air conditioner operation of above-mentioned gesture sequence
For one or more following：I. switching on and shutting down：After detecting gesture sequence A or B, open state just shuts down, and off-mode is just
Start；II. temperature is adjusted：Detect and enter after gesture sequence A or B temperature adjustment state, gesture sequence C is then detected again
Afterwards corresponding temperature is adjusted to according to gesture classification；III. shaping modes：Detect Dietary behavior after gesture sequence A or B to adjust
Nodular state, then detects again after gesture sequence C and is adjusted to corresponding pattern according to gesture classification；IV. orientation air-supply：Detect
Orientation ventilation state is entered after gesture sequence A or B, following two one kind are performed：1) blow against hand gesture location for the first time,
State before secondary return, iterative cycles；2) blow against primary operating gesture position for the first time, grasp for second against second
Position of making a sign with the hand is blown, repeatedly against the hand gesture location conversion of operation；V. air-supply is liked：After detecting gesture sequence A or B, cut
Change air-supply hobby.It is switched to if being currently to follow air supply pattern and hides air supply pattern, if is currently to hide air supply pattern
Then it is switched to and follows air supply pattern.It is to detect blown or a group human world against someone after position of human body wherein to follow air supply pattern
The pattern of wind is swept, it is the pattern for detecting the position air-supply that people is avoided after position of human body to hide air supply pattern.
Step 3, after gesture is recognized, with the presence or absence of human body or face near gesture in detection image, if deposited
In then execution step 4；If it should be noted that there is human body or face near gesture, but, human body or face with
The distance between gesture is more than Second Threshold, then skip step 4, this gesture identification failure.It should be noted that the present invention is needed
In advance the human body or facial image to setting carries out obtaining sorter model after the collection of great amount of samples, machine learning.By with
Scanning and calculating of this sorter model to real time picture, obtains meeting in picture the position of setting human body or setting face and big
It is little.
In step 3, if there is no human body and face, execution step 5 near gesture.
Step 4, this gesture identification effectively, controls air-conditioning, then by corresponding using the corresponding order of this gesture
Gesture is converted to corresponding control command, and using control command air-conditioning is controlled.
Step 5, if subscriber station apart from acquisition module camera lens immediating vicinity, now may whole picture mainly by with
The palm at family is occupied, and is to solve this problem, and the present invention is by the following way：Calculate the area ratio that handss are occupied in image
Example, if area ratio is more than first threshold, execution step 4.
In step 5, if area ratio is less than or equal to first threshold, execution step 6.
Step 6, user may be to solve this problem, realize correct gesture identification verification at the edge in the camera lens visual field,
The present invention is in the following way：The position of gesture in detection image, if gesture is in image border；Then execution step 4；If handss
Gesture is not in image border, then this gesture identification failure.
The mode of present invention transmission control command may include various：(1) it is connected with air-conditioning by serial ports and transmits control command
The operational factor of control air-conditioning, including but not limited to design temperature, wind direction, wind speed, switching on and shutting down, pattern etc.；(2) by red
Outside line transmission control command control air-conditioning operational factor, including but not limited to design temperature, wind direction, wind speed, switching on and shutting down,
Pattern etc.；(3) operational factor that control command controls air-conditioning, including but not limited to design temperature, air-supply angle are transmitted by WiFi
Degree, wind speed, switching on and shutting down, pattern etc.；(4) by ZigBee transmit control command control air-conditioning operational factor, including but do not limit
In design temperature, wind direction, wind speed, switching on and shutting down, pattern etc..
As shown in Figure 1, 2, a kind of gesture calibration equipment for controlling air-conditioning, it is characterised in that the calibration equipment includes
Acquisition module, identification module, the judge module being sequentially connected；
Acquisition module, gathers the image of air-conditioning forefoot area；Acquisition module is photographic head or photographic head and depth transducer
Combination.
In the present embodiment, acquisition module is single camera：Only one of which photographic head, gathers high-definition image information.(1) this
It is bright to carry out graphical analyses with based on the neural network model of deep learning, find out position and posture, the gesture of human body or face
Position and the information such as posture；(2) the weight combination of common multiframe or algorithm recurrent neural network algorithm multiframe result statistics, obtain
To accurate information；(3) three dimensions of reality are mapped back, obtain human body or face position and posture, the position of gesture and
The information such as posture；It is imaged size to estimate with the number of people apart from size.
Identification module, identifies the gesture in image；
Judge module, with the presence or absence of human body or face near gesture in detection image, if it is present this gesture is known
Not effectively, using the corresponding order control air-conditioning of this gesture, then this gesture is converted into into corresponding control command, and then
Control air-conditioning, information, the purpose of distant control air-conditioning reached in collection air-conditioning forefoot area.Handss in judge module detection image
There is human body or face near gesture, the distance between human body or face and gesture are more than Second Threshold, then this gesture is known
Do not fail.
The calibration equipment also includes computing module, and computing module is connected with identification module, if there is no people near gesture
Body and face, computing module calculates the area ratio that handss are occupied in image；If judge module judges that area ratio is more than first
Threshold value, then this gesture identification is effective, using the corresponding order control air-conditioning of this gesture；If it is determined that module judges area ratio
Example be less than or equal to first threshold, then in identification module detection image gesture position, judge module detection gesture is on image side
Edge, then this gesture identification is effective, using the corresponding order control air-conditioning of this gesture；If it is determined that module detection gesture does not exist
Image border, then this gesture identification failure.
The calibration equipment also includes memory module, and memory module is used for storage image.In the present embodiment, memory module can be with
Carry out storage system for unit of the memory space less than 2G, it is also possible to while storing very small amount video or picture, and have an expansion
Mouth supports plug-in card storage video；Memory module can also be that unit of the space more than 2G comes storage system, picture and video, and have
The expansion mouth of one support plug-in card is allowing user to expand according to demand or not expand amount of storage.
Embodiment two：
The present embodiment is essentially identical with embodiment one, and its difference is：The acquisition module of the present embodiment is dual camera：One
Individual black and white photographic head, a colour imagery shot, gather many parts of high-definition image information.(1) black and white photographic head collection profile, colour is taken the photograph
As head gathers colourity, synthesize an image not affected by backlight and the low light level；(2) with the neural network model based on deep learning
To carry out graphical analyses, position, posture of human body or face etc. are found out, and the information such as position, the posture of gesture；(3) it is common many
The weight combination of frame or algorithm recurrent neural network algorithm multiframe result statistics, obtain accurate information；(4) reality is mapped back
Three dimensions, obtain the information such as position and posture, the position of gesture and posture of human body or face；It is imaged with the number of people apart from size
Size is estimating.
Embodiment three：
The present embodiment is essentially identical with embodiment one, and its difference is：The acquisition module of the present embodiment is dual camera：Two
Individual colour imagery shot, gathers the high-definition image information of two parts of different angles.(1) pixel matching is first carried out, then by one
The information such as the distance of position and two photographic head of the pixel in two images are judging the actual range of each pixel；(2)
Mobile object and background are split according to the actual range and the range information of former time period of all pixels point, and tracks motive objects
Body；(3) with other naive models such as the support vector machine of the neural network model based on deep learning or feature based come to not
The mobile object of identification carries out graphical analyses, finds out the information such as position and posture, the position of gesture and posture of human body or face；
4) three dimensions of reality are mapped back, the information such as position and posture, the position of gesture and posture of human body or face, distance is obtained
Size is estimated with number of people size.
Example IV：
The present embodiment is essentially identical with embodiment one, and its difference is：The acquisition module of the present embodiment is as head and range finding
The combination of sensor group：One photographic head gathers chrominance image information, one or one group of sensor acquisition depth, distance, temperature
At least one in information.(1) motive objects are split according to the actual range and the range information of former time period of all pixels point
Body and background, and track mobile object；(2) with the neural network model based on deep learning or the support vector machine of feature based
Graphical analyses are carried out to Unidentified mobile object Deng other naive models, position and posture, the handss of human body or face are found out
The information such as the position of gesture and posture；(3) three dimensions of reality are mapped back, position and posture, the gesture of human body or face is obtained
Position and the information such as posture；Estimated with number of people size apart from size.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or implying relative importance
Or the implicit quantity for indicating indicated technical characteristic, unless otherwise expressly limited specifically.Thus, define " first ",
At least one this feature can be expressed or be implicitly included to the feature of " second ".In describing the invention, " multiple " contain
Justice is at least two, such as two, three etc., unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, term " installation ", " connected ", " connection ", " fixation " etc.
Term should be interpreted broadly, for example, it may be fixedly connected, or be detachably connected, or it is integral；Can be that machinery connects
Connect, or electrically connect；Can be joined directly together, it is also possible to be indirectly connected to by intermediary, can be in two elements
The connection in portion or the interaction relationship of two elements, unless otherwise clearly restriction.For one of ordinary skill in the art
For, can as the case may be understand above-mentioned term concrete meaning in the present invention.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or spy that the embodiment or example are described
Point is contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be with office
Combine in an appropriate manner in one or more embodiments or example.Additionally, in the case of not conflicting, the skill of this area
Art personnel can be tied the feature of the different embodiments or example described in this specification and different embodiments or example
Close and combine.
Presently preferred embodiments of the present invention is the foregoing is only, it is all in essence of the invention not to limit the present invention
Any modification, equivalent and simple modifications for being made in content etc., should be included within the scope of the present invention.
Claims (12)
1. a kind of gesture method of calibration for controlling air-conditioning, it is characterised in that the method for calibration comprises the steps：
Step 1, gathers the image of air-conditioning forefoot area；
Step 2, identifies the gesture in image；
Step 3, with the presence or absence of human body or face near gesture in detection image, if it is present execution step 4；
Step 4, this gesture identification effectively, using the corresponding order of this gesture air-conditioning is controlled.
2. the gesture method of calibration for controlling air-conditioning according to claim 1, it is characterised in that in step 3, if handss
There is no human body and face near gesture, then execution step 5；
Step 5, calculates the area ratio that handss are occupied in image, if the area ratio is more than first threshold, execution step
4。
3. the gesture method of calibration for controlling air-conditioning according to claim 2, it is characterised in that in step 5, if institute
State area ratio and be less than or equal to first threshold, then execution step 6；
Step 6, the position of gesture in detection image, if the gesture is in image border；Then execution step 4.
4. the gesture method of calibration for controlling air-conditioning according to claim 3, it is characterised in that in step 6, if institute
Gesture is stated not in image border, then this gesture identification failure.
5. the gesture method of calibration for controlling air-conditioning according to claim 1 or 4, it is characterised in that in step 3, such as
There is human body or face near fruit gesture, the distance between the human body or face and gesture are more than Second Threshold, then jump
Cross step 4, this gesture identification failure.
6. a kind of gesture calibration equipment for controlling air-conditioning, it is characterised in that the calibration equipment includes the collection being sequentially connected
Module, identification module, judge module；
The acquisition module, gathers the image of air-conditioning forefoot area；
The identification module, identifies the gesture in image；
The judge module, with the presence or absence of human body or face near gesture in detection image, if it is present this gesture is known
Not effectively, using the corresponding order control air-conditioning of this gesture.
7. the gesture calibration equipment for controlling air-conditioning according to claim 6, it is characterised in that the calibration equipment is also wrapped
Computing module is included, if there is no human body and face near gesture, computing module calculates the area ratio that handss are occupied in image；Sentence
If disconnected module judges that the area ratio is more than first threshold, this gesture identification is effectively, corresponding using this gesture
Order control air-conditioning.
8. the gesture calibration equipment for controlling air-conditioning according to claim 7, it is characterised in that if it is determined that module is sentenced
Break the area ratio be less than or equal to first threshold, then in identification module detection image gesture position, judge module detection
The gesture effectively, using the corresponding order of this gesture air-conditioning is controlled in image border, then this gesture identification.
9. the gesture calibration equipment for controlling air-conditioning according to claim 8, it is characterised in that if it is determined that module inspection
The gesture is surveyed not in image border, then this gesture identification failure.
10. the gesture calibration equipment for controlling air-conditioning according to claim 6, it is characterised in that judge module is detected
There is human body or face in image near gesture, the distance between the human body or face and gesture are more than Second Threshold,
Then this gesture identification failure.
The 11. gesture calibration equipments for controlling air-conditioning according to any claim in claim 6 to 10, its feature
It is that the acquisition module is the combination of photographic head or photographic head and depth transducer.
The 12. gesture calibration equipments for controlling air-conditioning according to claim 11, it is characterised in that the calibration equipment is also
Including memory module, the memory module is used for storage image.
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| CN107422859A (en) * | 2017-07-26 | 2017-12-01 | 广东美的制冷设备有限公司 | Regulation and control method, apparatus and computer-readable recording medium and air-conditioning based on gesture |
| CN107422859B (en) * | 2017-07-26 | 2020-04-03 | 广东美的制冷设备有限公司 | Gesture-based regulation and control method and device, computer-readable storage medium and air conditioner |
| CN108460329A (en) * | 2018-01-15 | 2018-08-28 | 任俊芬 | A kind of face gesture cooperation verification method based on deep learning detection |
| CN108460329B (en) * | 2018-01-15 | 2022-02-11 | 任俊芬 | Face gesture cooperation verification method based on deep learning detection |
| CN108596092A (en) * | 2018-04-24 | 2018-09-28 | 亮风台（上海）信息科技有限公司 | Gesture identification method, device, equipment and storage medium |
| CN108596092B (en) * | 2018-04-24 | 2021-05-18 | 亮风台（上海）信息科技有限公司 | Gesture recognition method, device, equipment and storage medium |
| CN110186167A (en) * | 2019-05-31 | 2019-08-30 | 广东美的制冷设备有限公司 | Control method, device, air conditioner and the storage medium of air conditioner |
| CN111427445A (en) * | 2020-02-24 | 2020-07-17 | 珠海格力电器股份有限公司 | Man-machine interaction method and device, storage medium and electrical equipment |
| CN117111873A (en) * | 2023-10-23 | 2023-11-24 | 南昌市一境信息技术有限公司 | Immersion interaction system based on cave environment |
| CN117111873B (en) * | 2023-10-23 | 2024-01-09 | 南昌市一境信息技术有限公司 | Immersion interaction system based on cave environment |
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