CN108200265A - Mobile phone control platform based on gesture recognition - Google Patents
Mobile phone control platform based on gesture recognition Download PDFInfo
- Publication number
- CN108200265A CN108200265A CN201711172893.8A CN201711172893A CN108200265A CN 108200265 A CN108200265 A CN 108200265A CN 201711172893 A CN201711172893 A CN 201711172893A CN 108200265 A CN108200265 A CN 108200265A
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- Prior art keywords
- mobile phone
- image
- equipment
- gesture recognition
- flash
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/12—Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/52—Details of telephonic subscriber devices including functional features of a camera
Abstract
The present invention relates to a kind of mobile phone control platform based on gesture recognition, including:Light quantity sensing apparatus is arranged on the back side of mobile phone, for detecting current environment light quantity, and when detecting that current environment light quantity reaches flash of light shooting grade, judges around there is the equipment for carrying out flash of light shooting operation, sends out that there are flash unit signals;Rear camera is arranged on the back side of mobile phone, is connect with the light quantity sensing apparatus, for when receiving the signal there are flash unit, starting the shooting to frontal scene, to obtain and export frontal scene image;Gesture recognition equipment for receiving combined filter image, and carries out human body attitude identification to combined filter image, when the human body attitude recognized is with shooting attitude matching, sends out floor light signal.By means of the invention it is possible to being taken pictures according to scene automatic trigger around for other equipment provides the operation of floor light, so as to improve image taking quality.
Description
Technical field
The present invention relates to field of mobile phones more particularly to a kind of mobile phone control platforms based on gesture recognition.
Background technology
Development is digital system in the world using being most extensively so-called forth generation mobile phone (4G) now, in addition to
It can carry out other than voice communication, short message, Wireless Application Protocol etc. can also be received and dispatched.Telephone keypad part mobile phone is in addition to typical
Outside telephony feature, a variety of function such as PDA, game machine, MP3, camera, photography, recording, GPS, online is further comprised, it is oriented
The trend of PDA development with cell-phone function.Mouthpiece, the ear of phone are held and corresponding microphone, receiver are incorporated on single handle.
It is once called as mobile phone, portable, mobile telephone, fax, is telephone terminal that is portable, being moved in wide range.
Although insider thinks that the mobile phone safe product foundation protection function away from the present is more complete, disturbed anti-
Disturb, be still weak in terms of secret protection and data protection, still there is a larger market space in future, QQ mobile phones house keeper, safe house keeper,
Declaration marches cloud security field one after another for Wang Qindeng security firms, and major security firm, which will continue to increase, solves mobile cloud security
The investment of scheme.
Invention content
Currently, the behavior that mobile phone can not shoot camera terminal around is accurately detected, and is led to not assurance and is
The shooting behavior of surrounding camera terminal provides the opportunity of floor light.To solve the above-mentioned problems, the present invention provides a kind of bases
In the mobile phone control platform of gesture recognition, identification that can be based on current environment light quantity and human body photography posture detects in time
Go out around the behavior that camera terminal is shot, providing floor light for mobile phone provides important reference data.
According to an aspect of the present invention, a kind of mobile phone control platform based on gesture recognition is provided, the platform includes:
Light quantity sensing apparatus is arranged on the back side of mobile phone, for detecting current environment light quantity, and is detecting current environment
When light quantity reaches flash of light shooting grade, judge around there is the equipment for carrying out flash of light shooting operation, send out that there are flash unit letters
Number;
Rear camera is arranged on the back side of mobile phone, is connect with the light quantity sensing apparatus;
Wherein, the rear camera is used for when receiving the signal there are flash unit, is started to frontal scene
Shooting, to obtain and export frontal scene image;
Gesture recognition equipment for receiving image, and carries out human body attitude identification, in the human body recognized to described image
When posture is with shooting attitude matching, floor light signal is sent out;
Flash device is arranged on the back side of mobile phone, is connect with the gesture recognition equipment, for receive it is described auxiliary
When helping illumination sign, flash operation is automatically turned on, to realize that the shooting that there is the equipment for carrying out flash of light shooting operation to surrounding carries
For floor light.
It can be seen that the present invention at least has the important inventive point in following a few places:
(1) judge that surrounding is deposited when detecting that current environment light quantity reaches flash of light shooting grade using light quantity sensing apparatus
In the equipment for carrying out flash of light shooting operation, the shooting for the equipment to carrying out flash of light shooting operation is provided before floor light provides
Put forward condition;
(2) pattern that image identifies is used to determine to carry out further to judge that surrounding whether there is to surrounding body's posture
The equipment for shooting operation of glistening.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein:
Fig. 1 is the block diagram of the mobile phone control platform based on gesture recognition according to embodiment of the present invention.
Specific embodiment
The embodiment of the mobile phone control platform based on gesture recognition of the present invention is carried out below with reference to accompanying drawings detailed
Explanation.
In order to overcome above-mentioned deficiency, the present invention has built a kind of mobile phone control platform based on gesture recognition, is embodied
Scheme is as follows.
Fig. 1 is the block diagram of the mobile phone control platform based on gesture recognition according to embodiment of the present invention,
The platform includes:
Light quantity sensing apparatus is arranged on the back side of mobile phone, for detecting current environment light quantity, and is detecting current environment
When light quantity reaches flash of light shooting grade, judge around there is the equipment for carrying out flash of light shooting operation, send out that there are flash unit letters
Number.
Then, continue to carry out further the concrete structure of the mobile phone control platform based on gesture recognition of the present invention
It is bright.
It can also include in the mobile phone control platform based on gesture recognition:
Rear camera is arranged on the back side of mobile phone, is connect with the light quantity sensing apparatus;
Wherein, the rear camera is used for when receiving the signal there are flash unit, is started to frontal scene
Shooting, to obtain and export frontal scene image.
It can also include in the mobile phone control platform based on gesture recognition:
Smoothing processing equipment, it is pre- based on frontal scene mean picture brightness distance for receiving frontal scene image
If the frontal scene image averaging is divided into each piecemeal of corresponding block size by the distance of brightness range central value, to each
A piecemeal, the smoothing processing of the corresponding different dynamics of random noise size selection based on the piecemeal, will to obtain smooth piecemeal
The each smooth piecemeal obtained splices to obtain smoothing processing image.
It can also include in the mobile phone control platform based on gesture recognition:
Gamma correcting equipment is connect with the smoothing processing equipment, for receiving the smoothing processing image, is determined described
Background complexity in smoothing processing image determines to carry out average mark to the smoothing processing image based on the background complexity
The images fragment quantity cut, the background complexity is higher, and the images fragment of average segmentation is carried out to the smoothing processing image
Quantity is more, and it is each to obtain to perform the gamma correction processing operation based on images fragment contrast respectively to each images fragment
Gamma correction fragment, images fragment contrast is smaller, and the gamma correction processing operation intensity performed to images fragment is bigger, will be each
A gamma correction fragment is combined corrects combination image to obtain;
Type analyzing device is connect with the gamma correcting equipment, for receiving the correction combination image, to the school
Positive combination image carries out the extraction of the relevant characteristic quantity of noise, by the characteristic quantity after extraction be input to by input layer, output layer and
In the convolutional neural networks of multiple hidden layer compositions, for successively carrying out data analysis, output to the characteristic quantity of input layer input
Layer is connect with the last one hidden layer, for the result of the progress data analysis of the last one hidden layer to be exported, wherein, output
The output quantity type of layer is noise type;
Combined filter equipment is connect with the type analyzing device, for receiving the noise type, and is made an uproar based on described
Sound type selects corresponding filter bank from filtering database, using the filter bank to the correction combination image
Filtering operation is performed, to obtain and export combined filter image;
Gesture recognition equipment is connect with the combined filter equipment, for receiving the combined filter image, and to described
Combined filter image carries out human body attitude identification, when the human body attitude recognized is with shooting attitude matching, sends out floor light
Signal;
Flash device is arranged on the back side of mobile phone, is connect with the gesture recognition equipment, for receive it is described auxiliary
When helping illumination sign, flash operation is automatically turned on, to realize that the shooting that there is the equipment for carrying out flash of light shooting operation to surrounding carries
For floor light;
Wherein, in the smoothing processing equipment, the frontal scene mean picture brightness is apart from the predetermined luminance model
The nearer of central value is enclosed, the relevant block that the frontal scene image averaging is divided into is bigger.
It can also include in the mobile phone control platform based on gesture recognition:
FLASH storage cards are connect with the smoothing processing equipment, for prestoring the predetermined luminance range.
In the mobile phone control platform based on gesture recognition:
Wherein, in the smoothing processing equipment, to each piecemeal, the random noise of the piecemeal is bigger, and selection is put down
The dynamics of sliding processing is bigger.
In the mobile phone control platform based on gesture recognition:
The predetermined luminance range is the brightness model limited out by predetermined luminance upper limit threshold and predetermined luminance lower threshold
It encloses, the predetermined luminance upper limit threshold is more than the predetermined luminance lower threshold.
In addition, it can also include in the mobile phone control platform based on gesture recognition:Ultrasonic ranging equipment, for examining
Survey the current distance of nearest target range mobile phone.
Since ultrasonic wave directive property is strong, energy expenditure is slow, and that propagates in the medium is distant, thus ultrasonic wave is frequent
It can be realized for the measurement of distance, such as rangefinder and fill level measuring device by ultrasonic wave.It is past using ultrasound examination
Toward it is relatively rapid, conveniently, calculate it is simple, be easy to accomplish to control in real time, and industrial requirements can be reached in terms of measurement accuracy.
In order to study and using ultrasonic wave, people have designed and be made many supersonic generators.Generally speaking, surpass
Sonic generator can be divided into two major class:One kind is with electrically generating ultrasonic wave, and one kind is mechanically to generate ultrasound
Wave.Electrically include piezo-electric type, magnetostriction type and power type etc.;Mechanical system has jar (unit of capacitance) system flute, the liquid whistle and air-flow siren
Deng.The frequency of ultrasonic wave, power and acoustic wave character are different caused by them, thus purposes is also different.At present compared with
For the most commonly used is piezoelectric-type ultrasonic wave producers.
Piezoelectric-type ultrasonic wave producer is actually come work using the resonance of piezo-electric crystal.Inside supersonic generator
There are two piezoelectric chip and a sounding boards.When his the two poles of the earth applying pulse signal, frequency is equal to the intrinsic of piezoelectric chip and shakes
When swinging frequency, piezoelectric chip will resonate, and drive resonance panel vibration, just generate ultrasonic wave., whereas if between two electrodes
Non- applied voltage when sounding board receives ultrasonic wave, compressing piezoelectric chip is vibrated, converts mechanical energy into electric signal,
At this moment he just becomes ultrasonic receiver.
Ultrasonic ranging principle is as follows:Ultrasonic transmitter emits ultrasonic wave to a direction, while emission time
Start timing, ultrasonic wave is propagated in air, and barrier is encountered in way and just returns to come immediately, ultrasonic receiver receives back wave
Just stop timing immediately.The aerial spread speed of ultrasonic wave is 340m/s, according to the time t of timer record, it is possible to
Distance (s) of the launch point away from barrier is calculated, i.e.,:S=340t/2.Here it is so-called time difference telemetrys.Ultrasound
Away from principle be barrier is encountered after transmitting to be reflected back it is known that measuring sound wave using the aerial spread speed of ultrasonic wave
The time come calculates launch point to the actual range of barrier according to transmitting and the time difference received.It can be seen that ultrasonic wave
Range measurement principle and Principles of Radar are the same.
However, in fact, the aerial spread speed of ultrasonic wave is a variable, according to ambient temperature not
Together, the aerial spread speed of ultrasonic wave is also different, therefore, in order to improve the accuracy of ultrasonic ranging, it is necessary first to root
The aerial spread speed of ultrasonic wave is calculated according to ambient temperature.
Ultrasonic ranging is mainly used in the range measurement of reversing prompting, construction site, industry spot etc., although current
Hundred meters can be reached on ranging range, but the precision measured often can only achieve centimetre scale.
Mobile phone control platform using the present invention based on gesture recognition, for surrounding terminal taking behavior in the prior art
The technical issues of being difficult to accurately detect, by using light quantity sensing apparatus detect current environment light quantity reach flash of light shooting etc.
During grade, judge around there is the equipment for carrying out flash of light shooting operation, the shooting for the equipment to carrying out flash of light shooting operation provides
Floor light provides precondition, in addition, also by using image identification pattern to surrounding body's posture determine with into
One step whether there is the equipment for carrying out flash of light shooting operation around judging, so as to efficiently solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention, technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (7)
1. a kind of mobile phone control platform based on gesture recognition, the platform include:
Light quantity sensing apparatus is arranged on the back side of mobile phone, for detecting current environment light quantity, and is detecting current environment light quantity
When reaching flash of light shooting grade, judge around there is the equipment for carrying out flash of light shooting operation, send out that there are flash unit signals.
2. the mobile phone control platform based on gesture recognition as described in claim 1, which is characterized in that the platform further includes:
Rear camera is arranged on the back side of mobile phone, is connect with the light quantity sensing apparatus;
Wherein, the rear camera is used for when receiving the signal there are flash unit, starts the bat to frontal scene
It takes the photograph, to obtain and export frontal scene image.
3. the mobile phone control platform based on gesture recognition as claimed in claim 2, which is characterized in that the platform further includes:
Smoothing processing equipment, it is default bright based on frontal scene mean picture brightness distance for receiving frontal scene image
The frontal scene image averaging is divided into each piecemeal of corresponding block size by the distance of degree range central value, to each point
Block, the smoothing processing of the corresponding different dynamics of random noise size selection based on the piecemeal will be obtained with obtaining smooth piecemeal
Each smooth piecemeal splicing to obtain smoothing processing image.
4. the mobile phone control platform based on gesture recognition as claimed in claim 3, which is characterized in that the platform further includes:
Gamma correcting equipment is connect with the smoothing processing equipment, for receiving the smoothing processing image, is determined described smooth
The background complexity in image is handled, determines to carry out the smoothing processing image average segmentation based on the background complexity
Images fragment quantity, the background complexity is higher, and the images fragment quantity of average segmentation is carried out to the smoothing processing image
It is more, the gamma correction processing operation based on images fragment contrast is performed respectively to each images fragment to obtain each gamma
Fragment is corrected, images fragment contrast is smaller, and the gamma correction processing operation intensity performed to images fragment is bigger, by each gal
Horse correction fragment is combined corrects combination image to obtain;
Type analyzing device is connect with the gamma correcting equipment, for receiving the correction combination image, to the correction group
The extraction that image carries out the relevant characteristic quantity of noise is closed, the characteristic quantity after extraction is input to by input layer, output layer and multiple
Hidden layer composition convolutional neural networks in, for successively to input layer input characteristic quantity carry out data analysis, output layer with
The last one hidden layer connects, for the result of the progress data analysis of the last one hidden layer to be exported, wherein, output layer
Output quantity type is noise type;
Combined filter equipment is connect with the type analyzing device, for receiving the noise type, and based on the noise class
Type selects corresponding filter bank from filtering database, and the correction combination image is performed using the filter bank
Filtering operation, to obtain and export combined filter image;
Gesture recognition equipment is connect with the combined filter equipment, for receiving the combined filter image, and to the combination
Filtering image carries out human body attitude identification, when the human body attitude recognized is with shooting attitude matching, sends out floor light signal;
Flash device is arranged on the back side of mobile phone, is connect with the gesture recognition equipment, for receiving the auxiliary photograph
During clear signal, flash operation is automatically turned on, to realize that it is auxiliary that the shooting that there is the equipment for carrying out flash of light shooting operation to surrounding provides
Help illumination;
Wherein, in the smoothing processing equipment, the frontal scene mean picture brightness is in the predetermined luminance range
Center value it is nearer, the relevant block that the frontal scene image averaging is divided into is bigger.
5. the mobile phone control platform based on gesture recognition as claimed in claim 4, which is characterized in that the platform further includes:
FLASH storage cards are connect with the smoothing processing equipment, for prestoring the predetermined luminance range.
6. the mobile phone control platform based on gesture recognition as claimed in claim 5, it is characterised in that:
Wherein, in the smoothing processing equipment, to each piecemeal, the random noise of the piecemeal is bigger, the smooth place of selection
The dynamics of reason is bigger.
7. the mobile phone control platform based on gesture recognition as claimed in claim 6, it is characterised in that:
The predetermined luminance range is the brightness range limited out by predetermined luminance upper limit threshold and predetermined luminance lower threshold, institute
Predetermined luminance upper limit threshold is stated more than the predetermined luminance lower threshold.
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CN109889537A (en) * | 2019-03-20 | 2019-06-14 | 曹婷 | Automated network communication means and method |
CN111027355A (en) * | 2019-03-20 | 2020-04-17 | 曹婷 | Automatic network communication mechanism |
CN111443325A (en) * | 2019-01-17 | 2020-07-24 | 孔清明 | Watt-hour meter field parameter extracting method |
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