CN109491507A - Gesture identifying device based on FDC2214 - Google Patents
Gesture identifying device based on FDC2214 Download PDFInfo
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- CN109491507A CN109491507A CN201811358267.2A CN201811358267A CN109491507A CN 109491507 A CN109491507 A CN 109491507A CN 201811358267 A CN201811358267 A CN 201811358267A CN 109491507 A CN109491507 A CN 109491507A
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- fdc2214
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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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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Abstract
A kind of gesture identifying device based on FDC2214, described device include FDC2214 capacitor digital sensor, classifier modules, single-chip microcontroller and bluetooth module；Collected capacitance data suitable for acquiring the capacitance data in default effective coverage, and is sent to the single-chip microcontroller by the FDC2214 capacitor digital sensor；The single-chip microcontroller, is suitable for the driving FDC2214 capacitor digital sensor and bluetooth module, and by the capacitance data of received input be converted to actual capacitance numerical value and be sent to the classifier modules；Gesture identification result suitable for identifying according to the received actual capacitance data of institute to gesture information, and is sent to the single-chip microcontroller by the classifier modules；The single-chip microcontroller is further adapted for controlling the bluetooth module execution corresponding operation based on received gesture identification result.Above-mentioned scheme, can be improved the accuracy of gesture identification, and reduce cost.
Description
Technical field
The invention belongs to technical field of hand gesture recognition, more particularly to a kind of gesture identifying device based on FDC2214.
Background technique
Universal with internet of things concept, daily life various aspects are all accelerating intelligent Process, however these intelligence
Change end product and require a personal-machine interactive interface, the voice assistant of major cell phone manufacturer's exploitation is when next good choosing
It selects, but is directed to quiet meeting room, noisy megastore can exist certain using speech recognition as man-machine interactive interface
Limitation.
Gesture identification can be known because of the characteristics of it will not generate additional noise, not require ambient noise with voice
Other Complementary provides more intelligentized usage experience for user.
Existing Gesture Recognition based on computer vision, due to the shadow by conditions such as the colour of skin, illumination, postures
It rings, causes gesture identification result inaccurate, and higher cost.
Summary of the invention
Present invention solves the technical problem that being how to improve the accuracy of gesture identification, and reduce cost.
In order to achieve the above object, the present invention provides a kind of gesture identifying device based on FDC2214, and described device includes
FDC2214 capacitor digital sensor, classifier modules, single-chip microcontroller and bluetooth module；
The FDC2214 capacitor digital sensor suitable for acquiring the capacitance data in default effective coverage, and will collect
Capacitance data be sent to the single-chip microcontroller；
The single-chip microcontroller is suitable for driving FDC2214 capacitor digital sensor and the bluetooth module, and institute is received defeated
The capacitance data entered is converted to actual capacitance numerical value and is sent to the classifier modules；
The classifier modules, suitable for being identified according to the received actual capacitance data of institute to gesture information, and by hand
Gesture recognition result is sent to the single-chip microcontroller；
The single-chip microcontroller is further adapted for controlling the bluetooth module execution based on received gesture identification result accordingly
Operation.
Optionally, the FDC2214 capacitor digital sensor is also coupled with double face copper four identical pieces of, and described four
Block double face copper is arranged in parallel, and the spacing between adjacent double face copper is equal.
Optionally, the double face copper is made of FR-4 glass fiber material, and area is 15CM*5CM.
Optionally, the single-chip microcontroller, it is corresponding suitable for that will be converted to a received capacitance data using following formula
Actual capacitance numerical value:
Wherein, capacitance_x indicates that actual capacitance numerical value, rawdata_x indicate that the FDC2214 capacitor number passes
The collected capacitance values of sensor.
Optionally, the single-chip microcontroller is TM4C123GH6PM single-chip microcontroller.
Optionally, the classifier modules, suitable for according to received actual capacitance data to pair between gesture information
Should be related to, will gesture information corresponding with the received actual capacitance data of institute, as the gesture identification result.
Optionally, the classifier modules are SVM classifier module.
Optionally, the bluetooth module is iTOP-4412 bluetooth module.
Compared with prior art, the invention has the benefit that
Above-mentioned scheme counts the capacitance data in default effective coverage by using FDC2214 digital sensor
According to, and collected capacitance data is sent to the single-chip microcontroller, due to FDC2214 digital sensor have low-power consumption, it is low at
The advantages of sheet and high resolution, and its Application in Sensing sensitivity is not influenced by noise circumstance, therefore can be in high-noise environment
Also performance can be maintained constant, improves the accuracy of gesture identification, and reduce cost.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the drawings in the following description are only some examples of the present application, for
For those of ordinary skill in the art, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 shows the frame structure signal of gesture identifying device of one of the embodiment of the present invention based on FDC2214
Figure；
Fig. 2 shows the structural schematic diagrams of the FDC2214 digital sensor in the embodiment of the present invention；
Fig. 3 shows the stream of the working principle of gesture identifying device of one of the embodiment of the present invention based on FDC2214
Journey schematic diagram；
Fig. 4 shows the 6 kinds of gesture-types that can be successfully identified.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.Related directionality instruction in the embodiment of the present invention (such as upper and lower, left and right,
It is forward and backward etc.) it is only used for the relative positional relationship explained under a certain particular pose (as shown in the picture) between each component, movement feelings
Condition etc., if the particular pose changes, directionality instruction is also correspondingly changed correspondingly.
As stated in the background art, prior art Gesture Recognition based on computer vision, due to by the colour of skin, light
According to the influence of the conditions such as, posture, there is gesture identification result inaccuracy, and the problem of higher cost.
Technical solution of the present invention by using FDC2214 digital sensor to the capacitance data in default effective coverage into
Row data, and collected capacitance data is sent to the single-chip microcontroller, due to FDC2214 digital sensor have low-power consumption,
The advantages of low cost and high resolution, and its Application in Sensing sensitivity is not influenced by noise circumstance, therefore can be in strong noise ring
Also performance can be maintained constant in border, improve the accuracy of gesture identification, and reduce cost.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
Fig. 1 shows the frame structure signal of gesture identifying device of one of the embodiment of the present invention based on FDC2214
Figure.Referring to Fig. 1, gesture identifying device of one of the embodiment of the present invention based on FDC2214 may include FDC2214 capacitor
Digital sensor 11, classifier modules 12, single-chip microcontroller 13 and bluetooth module 14.Wherein, FDC2214 capacitor digital sensor 11 divides
Do not coupled with classifier modules 12 and single-chip microcontroller 13, the single-chip microcontroller 13 also respectively with 14 coupling of classifier modules 12 and bluetooth module
It connects.
Referring to fig. 2, in an embodiment of the present invention, the gesture identifying device based on FDC2214 further includes four pieces of phases
Same double face copper 102~105.Wherein, four pieces of double face coppers 102~105 are horizontal positioned, and length and width difference is parallel, and
Spacing between adjacent double face copper is equal, for example 2CM etc..The lower surface of double face copper 102~105 four identical pieces of point
Not Dui Yingyu the FDC2214 capacitor digital sensor 11 four channels, and respectively by corresponding No. 30 OK lines connection should
The ground terminal GND in channel is coupled；The upper surface of double face copper 102~105 four identical pieces of passes through corresponding No. 30 OK lines and company
Meet the data terminal CH in the channel0、CH1、CH2And CH3Coupling.The setting of four pieces of double face coppers 102~105 can expand
The acquisition range of the capacitance data of FDC2214 capacitor digital sensor, and improve acquisition precision.
In an embodiment of the present invention, the single-chip microcontroller is TM4C123GH6PM single-chip microcontroller, and the TM4C123GH6PM is mono-
The advantages of piece machine has small volume, is convenient for encapsulation.
In an alternative embodiment of the invention, the bluetooth module is iTOP-4412 bluetooth module, is that this identification device is pre-
The communication interface stayed can be used for connecting the local area network of intelligent terminal composition, convenient for exploitation.
Below in conjunction with Fig. 3 to the working principle of the gesture identifying device based on FDC2214 in the embodiment of the present invention into
The detailed introduction of row.
Fig. 3 shows the corresponding stream of working principle of the gesture identifying device based on FDC2214 in the embodiment of the present invention
Journey schematic diagram.Referring to Fig. 3, the working principle of the gesture identifying device based on FDC2214 in the embodiment of the present invention may include
Following step:
Step S301: the FDC2214 capacitor digital sensor acquires the capacitance data in default effective coverage and transmission
To the single-chip microcontroller.
In specific implementation, user can acquire effective coverage in the data of FDC2214 capacitor digital sensor, such as
Show gesture in effective coverage right above 4 pieces of capacitor boards of FDC2214 capacitor digital sensor within 20CM, so that described
FDC2214 capacitor digital sensor can collect corresponding capacitance values and be sent to single-chip microcontroller.Referring to fig. 4, there is shown with
6 kinds of gesture-types that can be successfully identified.
Step S302: the single-chip microcontroller by the capacitance data of received input be converted to actual capacitance numerical value and be sent to
The classifier modules.
In specific implementation, the single-chip microcontroller receives the collected capacitance values of FDC2214 capacitor digital sensor,
It is converted into corresponding actual capacitance numerical value, and is sent to the classifier modules.
In an embodiment of the present invention, the monolithic uses following formula by the FDC2214 capacitor digital sensor
Collected capacitance values are converted to corresponding actual capacitance numerical value:
Wherein, capacitance_x indicates that actual capacitance numerical value, rawdata_x indicate that the FDC2214 capacitor number passes
The collected capacitance values of sensor.
Step S303: the classifier modules identify gesture information according to the received actual capacitance data of institute, and
Gesture identification result is sent to the single-chip microcontroller.
In specific implementation, there is one-to-one relationship between actual capacitance numerical value and preset gesture-type.Work as institute
State classifier modules according to institute received actual capacitance data when, by inquiry actual capacitance numerical value and preset gesture-type it
Between there is one-to-one relationship, the information of corresponding gesture can be obtained, simultaneously as the obtained gesture identification result of identification
It is sent to the single-chip microcontroller.
In an embodiment of the present invention, the classifier modules can one key switching be training mode, first user can lead to
The capacitance data of the corresponding gesture of training mode typing is crossed, to promote recognition efficiency to a certain extent.
Step S304: the single-chip microcontroller controls the bluetooth module based on received gesture identification result and executes accordingly
Operation.
In specific implementation, when the single-chip microcontroller receives the information for the gesture identification result that the classifier modules are sent
When, based on the corresponding relationship between preset gesture and operational order, determine the input instruction of user, and by the bluetooth
Module sends corresponding instruction, so that the bluetooth module executes corresponding operation, exports corresponding character string etc..
Using the above scheme in the embodiment of the present invention, by using FDC2214 digital sensor to default effective coverage
Interior capacitance data carries out data, and collected capacitance data is sent to the single-chip microcontroller, due to FDC2214 digital sensing
Device has the advantages that low-power consumption, low cost and high resolution, and its Application in Sensing sensitivity is not influenced by noise circumstance, therefore can
Also performance can be maintained constant in high-noise environment, the accuracy of gesture identification is improved, and reduce cost.
Further, the innovative anti-EMI filter framework of FDC2214 digital sensor in the embodiment of the present invention, even if making an uproar in height
Also performance can be maintained constant in acoustic environment, the robustness with higher compared with ultrasonic wave Gesture Recognition.
Further, training is provided with for the first user for not carrying out gesture recognition training in the embodiment of the present invention
Mode facilitates the recognition efficiency for promoting gesture identification.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, the present invention
Claimed range is delineated by the appended claims, the specification and equivalents thereof from the appended claims.
Claims (8)
1. a kind of gesture identifying device based on FDC2214, which is characterized in that including FDC2214 capacitor digital sensor, classification
Device module, single-chip microcontroller and bluetooth module；
The FDC2214 capacitor digital sensor, suitable for acquiring the capacitance data in default effective coverage, and by collected electricity
Hold data and is sent to the single-chip microcontroller；
The single-chip microcontroller, be suitable for the driving FDC2214 capacitor digital sensor and bluetooth module, and by received input
Capacitance data is converted to actual capacitance numerical value and is sent to the classifier modules；
The classifier modules suitable for being identified according to the received actual capacitance data of institute to gesture information, and gesture are known
Other result is sent to the single-chip microcontroller；
The single-chip microcontroller is further adapted for controlling the corresponding behaviour of bluetooth module execution based on received gesture identification result
Make.
2. the gesture identifying device according to claim 1 based on FDC2214, which is characterized in that the FDC2214 capacitor
Digital sensor is also coupled with double face copper four identical pieces of, and four pieces of double face coppers are arranged in parallel, adjacent
Spacing between double face copper is equal.
3. the gesture identifying device according to claim 2 based on FDC2214, which is characterized in that the double face copper
It is made of FR-4 glass fiber material, and area is 15CM*5CM.
4. the gesture identifying device according to claim 1 based on FDC2214, which is characterized in that the single-chip microcontroller is suitable for
The received capacitance data of institute will be converted to by corresponding actual capacitance numerical value using following formula:
Wherein, capacitance_x indicates that actual capacitance numerical value, rawdata_x indicate the FDC2214 capacitor digital sensor
Collected capacitance values.
5. the gesture identifying device according to claim 1 based on FDC2214, which is characterized in that the single-chip microcontroller is
TM4C123GH6PM single-chip microcontroller.
6. the gesture identifying device according to claim 1 based on FDC2214, which is characterized in that the classifier modules,
Suitable for according to received actual capacitance data to the corresponding relationship between gesture information, will be with the received actual capacitance data of institute
Corresponding gesture information, as the gesture identification result.
7. the gesture identifying device according to any one of claims 1 to 6 based on FDC2214, which is characterized in that described point
Class device module is SVM classifier module.
8. the gesture identifying device according to claim 1 based on FDC2214, which is characterized in that the bluetooth module is
ITOP-4412 bluetooth module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811358267.2A CN109491507A (en) | 2018-11-14 | 2018-11-14 | Gesture identifying device based on FDC2214 |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811358267.2A CN109491507A (en) | 2018-11-14 | 2018-11-14 | Gesture identifying device based on FDC2214 |
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| CN201811358267.2A Pending CN109491507A (en) | 2018-11-14 | 2018-11-14 | Gesture identifying device based on FDC2214 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110083255A (en) * | 2019-04-02 | 2019-08-02 | 华东师范大学 | A kind of contactless input keyboard |
| CN110185328A (en) * | 2019-04-30 | 2019-08-30 | 南京邮电大学 | A kind of gesture identification intelligent lock |
| CN110275614A (en) * | 2019-05-30 | 2019-09-24 | 福建工程学院 | A kind of non-contact gesture identification device and its method |
| 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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| CN104484644A (en) * | 2014-11-06 | 2015-04-01 | 三星电子（中国）研发中心 | Gesture identification method and device |
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| CN104484644A (en) * | 2014-11-06 | 2015-04-01 | 三星电子（中国）研发中心 | Gesture identification method and device |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110083255A (en) * | 2019-04-02 | 2019-08-02 | 华东师范大学 | A kind of contactless input keyboard |
| CN110185328A (en) * | 2019-04-30 | 2019-08-30 | 南京邮电大学 | A kind of gesture identification intelligent lock |
| CN110275614A (en) * | 2019-05-30 | 2019-09-24 | 福建工程学院 | A kind of non-contact gesture identification device and its method |
| 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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Application publication date: 20190319 |
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