CN109343694A - A kind of gesture recognition system and method for finger-guessing game finger-guessing game game - Google Patents
A kind of gesture recognition system and method for finger-guessing game finger-guessing game game Download PDFInfo
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- CN109343694A CN109343694A CN201810917184.6A CN201810917184A CN109343694A CN 109343694 A CN109343694 A CN 109343694A CN 201810917184 A CN201810917184 A CN 201810917184A CN 109343694 A CN109343694 A CN 109343694A
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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
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/014—Hand-worn input/output arrangements, e.g. data gloves
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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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Abstract
The invention discloses a kind of gesture recognition systems and method for finger-guessing game finger-guessing game game.Gesture placement plate is as gesture identification region, manpower is placed in gesture placement plate, four pieces of independent capacitance sensors are placed in the lower section of gesture placement plate, and four pieces of independent capacitance sensors are connected to the input terminal of sensing chip, and sensing chip output end is connected to control microprocessor；Four pieces of independent capacitance sensors are with palm hand shape arrangement, wherein three pieces of independent capacitance sensors respectively correspond the middle finger for being arranged in palm, the third finger and the little finger of toe band of position, the band of position that the corresponding thumb for being arranged in palm of another independent capacitance sensor and index finger collectively constitute.The present invention realizes contactless gesture input and exports accurately as a result, realization is high-efficient that recognition accuracy is high and cost is lower, very simple and effective.
Description
Technical field
The present invention relates to a kind of Human bodys' response system and method, are used for finger-guessing game finger-guessing game game more particularly, to a kind of
Gesture recognition system and method.
Background technique
Under current machine learning art, learner is without any reasoning or other Knowledge conversions, directly absorption environment institute
The information of offer.But machine learning is there is also some the problem of be unwilling to ignoring, and is first exactly the collection and selection of data set
The problem of.Data set is bigger, fewer for the dependence of environment, but then higher for the performance and technical requirements of hardware.
It is right if to collect data to general population because everyone hand size is different in this field of gesture identification
The requirement of data set and hardware may be excessively high.Therefore machine learning is weaker to the controllability of gesture identification, and implementation method
Excessively complicated, seeming rather, some are wasted one's talent on a petty job.
Tradition needs to configure video camera based on the gesture identification of image, and is easy to be done by environmental factors such as light
Disturb, at the same it is most use neural network algorithm, have very high requirement to the operational capability of processor, there are it is at high cost, vulnerable to light
The shortcomings that according to influencing.
Based on the above two o'clock, for finger-guessing game finger-guessing game game, go to complete this task using machine learning and neural network, it is preceding
The data set that phase needs to acquire a large amount of different crowd is used as it is necessary to have the hardware device of powerful operational capability to be supported, and
The result of gesture identification may generate very big error with the change of environmental condition, and required investment is too big.Separately
Outside, if handled using traditional image recognition technology, such as characteristic point detection, it is desirable to accomplish higher recognition accuracy, calculates
Method may be very complicated and operational capability for hardware require also can further rise, the identification delay of generation can also increase
Greatly.
Summary of the invention
In order to solve the problems, such as that background technique, the present invention are gesture identifying device, propose a kind of for finger-guessing game
The gesture recognition system and method for finger-guessing game game are captured and are accurately identified, energy to operator's gesture feature in human-computer interaction process
It realizes and automatic detection identification is carried out to the basic gesture of finger-guessing game game and finger-guessing game game.
The technical solution adopted by the present invention is that:
One, a kind of gesture recognition system for finger-guessing game finger-guessing game game:
System includes four pieces of independent capacitance sensors, sensing chip, gesture placement plate, control microprocessor；Gesture is placed
As gesture identification region, manpower is placed in the specified region in gesture placement plate plate, and four pieces of independent capacitance sensors are placed in
The lower section of gesture placement plate, four pieces of independent capacitance sensors are connected to the input terminal of sensing chip, the connection of sensing chip output end
To control microprocessor；Four pieces of independent capacitance sensors are with palm hand shape arrangement, wherein three pieces of independent capacitance sensors are right respectively
It should be arranged in the middle finger, the third finger and the little finger of toe band of position of palm, it is another only for perceiving middle finger, the third finger and little finger of toe respectively
Vertical capacitance sensor corresponds to the band of position that the thumb for being arranged in palm and index finger collectively constitute, for perceiving thumb and food respectively
Refer to.
The gesture placement plate uses acrylic board.It specifically can be organic glass.
Four pieces of independent capacitance sensors are connected to four input channels of sensing chip by four conducting wires, sensing
Chip output is connected to control microprocessor, and sensing chip quantifies four pieces of independent capacitance sensors data sampling collected
And to use I2C agreement is transferred to control microprocessor.
It further include base plate, four pieces of independent capacitance sensors, sensing chip, gesture placement plate and control microprocessor are solid
Due on base plate.
The present invention obtains the contact condition and contact position information of palm by four independent capacitance sensors, in conjunction with gesture
The gesture training data of categorical data or typing, carries out identification judgement, accurate judgement to the gesture of operator in a short time
Operator's gesture classification.
The control microprocessor uses single-chip microcontroller, using single-chip microcontroller as calculation processing core, to identify different gestures
It is close.
Finger-guessing game of the present invention is comprising by gesture of the hand than marking scissors, stone, cloth, finger-guessing game is comprising passing through hand
Than marking 1,2,3,4,5 five kind of digital gesture.
Two, a kind of gesture identification method for finger-guessing game finger-guessing game game:
Using above system, manpower is placed into gesture placement plate after gesticulating, then:
1) capacitance of four pieces of independent capacitance sensors is acquired in real time by sensing chip:
When any one channel for reading sensing chip has, rising edge is jumped and capacitance is higher than pre-set detection
Threshold value, and capacitance continues to be still higher than pre-set detection threshold value after the constant time lag time, then starts valid data acquisition:
For each independent capacitance sensor, 100 capacitance data values that sensing chip is acquired using every consecutive intervals calculate mean value as
The capacitance of acquisition, the virtual value as one acquisition save and are sent to control microprocessor:
Wherein, DiIndicate that the acquisition of independent capacitance sensor distance is sent to i-th of capacitance data value of sensing chip, T table
Show sensing chip collected independent capacitance sensor capacitance, i indicate capacitance data value ordinal number, n indicate capacitor number
According to the sum of value, n=100；
Gesture can be overcome to be unable to absolute stability in this way, the skill of slight data dithering may be had due to shaking in the short time
Art problem overcomes this interference problem, works well after tested.
2) it is handled and is calculated using the minimum distance classification that minimum range decision algorithm carries out four dimensional signal spaces: believed in the four-dimension
Under number space, it is known that certain gesture classification and capacitance present value be all a four vector, calculate capacitance present value and each
Euclidean distance dj between the other capacitor calibration value of gesture class:
Wherein, TjIndicate that the capacitor calibration value under j-th of gesture classification, j indicate the other ordinal number of gesture class；TkIndicate sensing
Chip collected k-th of independent capacitance sensor capacitance, k respectively indicates four independent capacitance sensors from 1-4；dj
Indicate the Euclidean distance between capacitance present value and the other capacitor calibration value of j-th of gesture class；
From each Euclidean distance djMiddle selection minimum value dx:
dx=min { dj}
With minimum value dxCorresponding gesture classification is as the corresponding gesture classification of current gesture.
The capacitor calibration value is to be passed through by operator than marking after the gesture of correct standard is placed into gesture placement plate
The capacitance of the acquired acquisition of sensing chip.
The gesture classification be divided into finger-guessing game three kinds of form gestures of scissors, stone, cloth and finger-guessing game 1,2,3,4,5 five
The digital gesture of kind.
The present invention carries out identification judgement, microprocessor using operator gesture feature of the minimum range decision algorithm to input
The court verdict of operator's gesture will be exported on the display screen, the present invention, which can be used as people and connect interactive new model, to be answered
With.
The present invention carries out data acquisition using the capacitor board that the four-way of chip designs approximate hand shape, detects rising edge automatically
And the mean value that 100 groups of valid data are calculated after delay judgement is recorded, and the minimum range based on two-dimentional norm point is finally used
Class device and the obtained known class of training carry out that differentiation is calculated as a result, entire model selection, operation indicating and knot simultaneously
Fruit shows all on the touchscreen.By test, present invention may apply to adjudicate accuracy height and speed to most of crowd
Fastly, training speed is fast, there is more friendly human-computer interaction interface.
The present invention replaces machine learning techniques with capacitance measurement technique, has effectively achieved the design of gesture recognition system.
In the present system, the hardware device splendid without using operational capability, without use very big data set as support, only need
Operator is allowed to carry out a gesture typing before testing.During operator shows different gestures, due to different gestures
With the contact area of gesture placement plate and contact difference, cause capacitance caused by the independent capacitance sensor generated different,
Gesture is corresponding with capacitance, and then can be carried out gesture identification.
The present invention carries out gesture identification in conjunction with storage equipment using capacitance detecting, reduces the requirement for hardware, right
It is also smaller in the dependence of environment, while the frame of image procossing is jumped out, accurate recognition result can be obtained, in terms of speed
Also it is equal to even better than many image procossing schemes.
The main advantage that the present invention has is:
1. low cost, hardware requirement are low.It is right using capacitive sensing techniques relative to traditional realtime graphic identification technology
It is lower in the requirement of hardware, without using the high capital equipment such as high-definition camera, the CPU for possessing high-speed computational capability, and can be complete
At accurate gesture identification.
2. Antagonistic Environment interference performance is strong.Due to being applicable in capacitive sensing techniques, as long as without sufficient intensity in a certain range
Conductor interference, so that it may complete accurate training and differentiate, without lying in the interference of environmental background.
3. easy to operate, introduction is simple.Due to possessing good human-computer interaction interface, and it is applicable in touch screen and LED two
Person combines prompt, even if again under the instruction without developer, first user can also independently complete to operate.
4. training is quickly, judgement is accurate.The training part of this system is easy to operate, as long as each gesture is once instructed
Practice typing, the typing of each gesture only needs 2s, and training is quick.Use 4 pieces of capacitor boards as sensing equipment, improves anti-interference
Performance, so that judgement is accurate.
Thus implement as it can be seen that the present invention combination human morphology characteristic Design structure of capacitance sensor, may be implemented
Contactless gesture input, and export accurate result.The present invention uses the minimum distance classifier meter of four dimensional signal spaces
The calculation method of calculation, algorithm are realized high-efficient, can realize, not need using taking the photograph on simple embedded microprocessor completely
As head, recognition accuracy is high and cost is lower.
Detailed description of the invention
Fig. 1 is the vertical view block diagram of gesture recognition system module.
Fig. 2 is the side view of gesture recognition system module.
Fig. 3 is the arrangement schematic diagram of hand-type independent capacitance sensor.
Fig. 4 is acquisition function flow chart.
Fig. 5 is classification function flow chart.
In figure: independent capacitance sensor 1, sensing chip 2, gesture placement plate 3, control microprocessor 4.
Specific embodiment
The following further describes the present invention with reference to the drawings.
As depicted in figs. 1 and 2, present invention specific implementation includes base plate, four pieces of independent capacitance sensors 1, sensing chips
2, gesture placement plate 3, control microprocessor 4；Gesture placement plate 3 is used as gesture identification region, and manpower is placed on gesture placement plate 3
On, four pieces of independent capacitance sensors 1 are placed in the lower section of gesture placement plate 3, and four pieces of independent capacitance sensors 1 are connected to sensing chip
2 input terminal, 2 output end of sensing chip are connected to control microprocessor 4；Four pieces of independent capacitance sensors 1, sensing chip 2, hand
Gesture placement plate 3 and control microprocessor 4 are both secured on base plate.
As shown in figure 3, four pieces of independent capacitance sensors 1 are arranged with palm hand shape, wherein three pieces of independent capacitance sensors 1 divide
It Dui Ying be arranged in the middle finger, the third finger and the little finger of toe band of position of palm, for perceiving middle finger, the third finger and little finger of toe respectively, separately
The band of position that the corresponding thumb for being arranged in palm of one independent capacitance sensor 1 and index finger collectively constitute, for perceiving thumb respectively
Finger and index finger.
It include capacitive sensor part, acquisition control part and human-computer interaction part in specific implementation.
1, capacitive sensor part: use capacitive detection sensor chip as the core of quad-channel sensor, design symbol
4 pieces of capacitor board for closing finger shape, are connected with quad-channel sensor, and by the finishing analysis for commonly using gesture, index finger is to make
With the highest finger of frequency, thus the method for salary distribution of 4 pieces of capacitor boards be by thumb and the corresponding one piece of capacitance sensor of index finger portion,
The presence or absence of numerical value change is obtained by different channels and size is identified there is biggish flexibility and applicability.
2, acquisition control part: the data acquiring and recording of sensing chip 2 is constantly in preparation state, when reading sensing core
There is rising edge jump in any one channel of piece and capacitance is higher than pre-set detection threshold value, and capacitance continues in fixation
It is still higher than pre-set detection threshold value after delay time, then starts valid data acquisition.It has been able to achieve so automatically in real time
Gestures detection, and can be avoided the interference of deceptive movement bring, accuracy and speed still have certain guarantee.
3, human-computer interaction part: the method that human-computer interaction part uses both liquid crystal display and LED light to combine.It is logical
Single-chip microcontroller liquid crystal touch screen screen the Show Button is crossed to carry out the selection of game mode, it is directly aobvious to will be prompted to part and recognition result
Show, whole touch-control effect is good, and interactive friendly is good.It is prompted using LED light to operator, by using different colors
Whether the whether complete typing of operator's data is informed in variation, as a result adjudicate and the functions such as finish, so that first user also can be skilled
Operation.
Four pieces of independent capacitance sensors 1 are connected to four input channels of sensing chip 2, sensing chip by four conducting wires
2 output ends are connected to control microprocessor 4, and sensing chip 2 quantifies four pieces of data samplings collected of independent capacitance sensor 1
And to use I2C agreement is transferred to control microprocessor 4.
Single-chip microcontroller can be used in control microprocessor 4, using single-chip microcontroller as calculation processing core, to identify connecing for different gestures
Closely.
Manpower is placed into gesture placement plate 3 after gesticulating, according to the following steps implementation Process:
1) as shown in figure 4, acquiring the capacitance of four pieces of independent capacitance sensors 1 in real time by sensing chip 2:
When any one channel for reading sensing chip 2 has, rising edge is jumped and capacitance is higher than pre-set detection
Threshold value, and capacitance continues to be still higher than pre-set detection threshold value after the constant time lag time, then starts valid data acquisition.
In specific implementation, the delay time shielding shake of setting 300ms after rising edge is detected, time delay meets human body custom, is less than
The signal jump of 300ms is an invalid gesture.
After starting valid data acquisition, for each independent capacitance sensor 1, sensing chip 2 is with the acquisition of every consecutive intervals
100 capacitance data values calculate mean value as the capacitance acquired, the virtual value as one acquisition saves and is sent to control
Microprocessor 4 processed, frequency acquisition are determined according to internal crystal oscillator, differentiation requirement of the time of 100 groups of data acquisition much smaller than 1s.
Wherein, DiIndicate that the acquisition of 1 consecutive intervals of independent capacitance sensor is sent to i-th of capacitance data of sensing chip 2
Value, T indicate sensing chip 2 institute collected independent capacitance sensor condenser paper mean value, i expression capacitance data value ordinal number, n
Indicate the sum of capacitance data value, n=100；
Gesture can be overcome to be unable to absolute stability in this way, the skill of slight data dithering may be had due to shaking in the short time
Art problem overcomes this interference problem, works well after tested.
2) as shown in figure 5, system uses before operating for the first time, operator needs to carry out the training step of gesture typing, institute
Need to carry out the gesture (finger-guessing game also or finger-guessing game) of typing.If carrying out finger-guessing game training, operator's successively typing scissors stone
Three kinds of gestures of cloth are placed into gesture placement plate 3, are increased the contact area with acrylic board when placement as far as possible, can not vacantly be put
It sets, excessive pressure can not be applied, to acrylic board also to reduce error.It is placed into after gesture placement plate 3 through sensing chip 2
The capacitance obtained is acquired as the capacitor calibration value under the gesture classification.
It is finally handled and is calculated using the minimum distance classification that minimum range decision algorithm carries out four dimensional signal spaces: in the four-dimension
Under signal space, it is known that certain gesture classification and capacitance present value be all a four vector, calculate capacitance present value and each
Euclidean distance d between a other capacitor calibration value of gesture classj:
Wherein, TjIndicate that the capacitor calibration value under j-th of gesture classification, j indicate the other ordinal number of gesture class；TkIndicate sensing
Chip (2) collected k-th of independent capacitance sensor (1) capacitance, k respectively indicates four independent capacitances from 1-4 and passes
Sensor (1)；djIndicate the Euclidean distance between capacitance present value and the other capacitor calibration value of j-th of gesture class；
From each Euclidean distance djMiddle selection minimum value dx:
dx=min { dj}
With minimum value dxCorresponding gesture classification is as the corresponding gesture classification of current gesture.
The gesture classification of specific implementation be divided into finger-guessing game three kinds of form gestures of scissors, stone, cloth and finger-guessing game 1,2,3,
4,5 five kinds of digital gestures.
Finally, due to the data acquisition of current gesture is completed after recording certain amount, but since this time is too short, operation
The hand of person may also trigger primary new identification judgement can lift hand in induction region, and mistake occurs in display at this time.Therefore
The display delayed of 300ms is set, can eliminate and identify shake caused by lifting as gesture, but current recognition result before the delay
It has been shown that so being the off time for converting gesture, not in the limitation of 1s.
The present invention has carried out system accuracies test implementation, and situation is as follows:
Firstly, carry out finger-guessing game (gesture be stone, scissors, cloth) judgement test, tester by the finger-guessing game gesture of oneself into
After row typing, make decisions.Show altogether scissors 50 times, successfully adjudicates 49 times；Show stone 50 times, successfully adjudicates 48 times；
Show cloth 50 times, successfully adjudicates 50 times.To sum up calculating test accuracy is 98%.
Then, test is made decisions to finger-guessing game (gesture is to stretch out 1~5 finger, respectively indicates 1~5 number), equally
Tester makes decisions after the finger-guessing game gesture of oneself is carried out typing.Show gesture " 1 " altogether 50 times, successfully adjudicates 50
It is secondary；Show gesture " 2 " 50 times, successfully adjudicates 49 times；Show gesture " 3 " 50 times, successfully adjudicates 47 times；Show gesture " 4 " 50 times,
Success is adjudicated 49 times；Show gesture " 5 " 50 times, successfully adjudicates 48 times.To sum up calculating test accuracy is 98%.
Thus implement as it can be seen that the present invention realizes contactless gesture input and exports accurately as a result, realization is high-efficient,
Recognition accuracy is high and cost is lower, very simple and effective.
Claims (8)
1. a kind of gesture recognition system for finger-guessing game finger-guessing game game, it is characterised in that: including four pieces of independent capacitance sensors
(1), sensing chip (2), gesture placement plate (3), control microprocessor (4)；Gesture placement plate (3) is used as gesture identification region,
Manpower is placed on gesture placement plate (3), and four pieces of independent capacitance sensors (1) are placed in the lower section of gesture placement plate (3), and four pieces solely
Vertical capacitance sensor (1) is connected to the input terminal of sensing chip (2), and sensing chip (2) output end is connected to control microprocessor
(4)；Four pieces of independent capacitance sensors (1) are with palm hand shape arrangement, wherein three pieces of independent capacitance sensors (1) respectively correspond arrangement
In the middle finger of palm, the third finger and the little finger of toe band of position, the corresponding thumb for being arranged in palm of another independent capacitance sensor (1) and
The band of position that index finger collectively constitutes.
2. a kind of gesture recognition system for finger-guessing game finger-guessing game game according to claim 1, it is characterised in that: described
Gesture placement plate (3) uses acrylic board.
3. a kind of gesture recognition system for finger-guessing game finger-guessing game game according to claim 1, it is characterised in that: described
Four pieces of independent capacitance sensors (1) are connected to four input channels of sensing chip (2), sensing chip (2) by four conducting wires
Output end is connected to control microprocessor (4), and sensing chip (2) adopts four pieces of independent capacitance sensor (1) data collected
Sample quantifies and is transferred to control microprocessor (4).
4. a kind of gesture recognition system for finger-guessing game finger-guessing game game according to claim 1, it is characterised in that: further include
Base plate, four pieces of independent capacitance sensors (1), sensing chip (2), gesture placement plate (3) and control microprocessor (4) are fixed
In on base plate.
5. a kind of gesture recognition system for finger-guessing game finger-guessing game game according to claim 1, it is characterised in that: described
It controls microprocessor (4) and uses single-chip microcontroller.
6. a kind of gesture identification method for finger-guessing game finger-guessing game game, it is characterised in that: use any system of claim 1-5
System, manpower are placed into gesture placement plate (3) after gesticulating, method according to the following steps:
1) capacitance of four pieces of independent capacitance sensors (1) is acquired in real time by sensing chip (2):
When any one channel for reading sensing chip (2) has, rising edge is jumped and capacitance is higher than pre-set detection threshold
Value, and capacitance continues to be still higher than pre-set detection threshold value after the constant time lag time, then starts valid data acquisition: needle
To each independent capacitance sensor (1), sensing chip (2) calculates mean value with 100 capacitance data values that every consecutive intervals acquire
Capacitance as acquisition:
Wherein, DiIndicate that the acquisition of independent capacitance sensor (1) interval is sent to i-th of capacitance data value of sensing chip (2), T table
Show sensing chip (2) collected independent capacitance sensor capacitance, i indicate capacitance data value ordinal number, n indicate capacitor
The sum of data value, n=100；
2) it is handled and is calculated using the minimum distance classification that minimum range decision algorithm carries out four dimensional signal spaces: calculating capacitance present
Euclidean distance dj between value and the other capacitor calibration value of each gesture class:
Wherein, TjIndicate that the capacitor calibration value under j-th of gesture classification, j indicate the other ordinal number of gesture class；TkIndicate sensing chip
(2) collected k-th of independent capacitance sensor (1) capacitance；djIndicate that capacitance present value and j-th of gesture class are other
Euclidean distance between capacitor calibration value；
From each Euclidean distance djMiddle selection minimum value dx:
dx=min { dj}
With minimum value dxCorresponding gesture classification is as the corresponding gesture classification of current gesture.
7. a kind of gesture identification method for finger-guessing game finger-guessing game game according to claim 6, it is characterised in that: described
Capacitor calibration value is to be placed into gesture placement plate (3) afterwards by sensing chip (2) than marking the gesture of correct standard by operator
Acquire the capacitance obtained.
8. a kind of gesture identification method for finger-guessing game finger-guessing game game according to claim 6, it is characterised in that: described
Gesture classification be divided into finger-guessing game three kinds of form gestures of scissors, stone, cloth and finger-guessing game 1,2,3,4,5 five kind of digital gesture.
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| CN110275614B (en) * | 2019-05-30 | 2022-09-30 | 福建工程学院 | Non-contact gesture recognition device and method thereof |
| CN110673781A (en) * | 2019-08-21 | 2020-01-10 | 华东师范大学 | Gesture recognition device and method based on module matching |
| CN113673292A (en) * | 2021-01-14 | 2021-11-19 | 南方科技大学 | Capacitive imaging sensor and gesture form sensing method |
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