CN106484109A - A kind of gesture detecting method docking close-target object based on back-scattered signal - Google Patents
A kind of gesture detecting method docking close-target object based on back-scattered signal Download PDFInfo
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- CN106484109A CN106484109A CN201610873092.3A CN201610873092A CN106484109A CN 106484109 A CN106484109 A CN 106484109A CN 201610873092 A CN201610873092 A CN 201610873092A CN 106484109 A CN106484109 A CN 106484109A
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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
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
- G06K7/10297—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092
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Abstract
The invention discloses a kind of gesture detecting method docking close-target object based on back-scattered signal, purpose is, by passively listening the backscatter communication process of reader and RFID label tag, accurately distinguish the signal of different labels by decoding algorithm, coefficient of dispersion feature finally by analysis RFID label tag EPC preface to determine the target object that user really will be close, creatively solve in the case that multiple label objects coexist by the change of analysis and evaluation signal, detection determines the really close target object of handss.Because RFID label tag used in the present invention belongs to passive label, cost is very low, therefore, it is possible to, in actual deployment system, be provided for a long term the detection of low-cost high-efficiency.It is to complete to detect based on the back-scattered signal that RFID label tag object is posted in analysis in the Method And Principle of the detection gesture of the present invention, compared to existing detection technique, the present invention does not need to carry any equipment, does not also have limitation to user, using very convenient.
Description
Technical field
The invention belongs to radio frequency identification (RFID) technical field is and in particular to a kind of docked based on back-scattered signal
The gesture detecting method of close-target object.
Background technology
Nowadays, gestures detection is that many automatizatioies computing system provides great convenience, is mainly used in intelligence at present
The numerous areas such as control, urban safety, virtual reality, militarization.In the environment that multiple objects coexist, how to be examined by gesture
Survey the close target object of identifying user usually to be continued saying it with interest by numerous researcheres.The major technique of gestures detection has at present：Base
In image recognition, based on bio signal, based on wireless signal etc..
Based on the technology of image recognition, this technology early stage passes through some photos of camera shooting, collecting or video, and combines figure
As the technology such as process, pattern recognition set up motor behavior indicator, thus realizing the purpose of gesture motion identification.This technology is to ring
Border requires strict, to light requirement harshness, the most importantly in the problem being related to privacy, image-based technique development ten
Divide limited.Based on the technology of bio signal, this technology generally detects identification motion using some specific apparatus, for example：Using
Electromyogram, electroencephalogram are collected signal and are simultaneously made comparisons with known basis actuating signal, finally by some biotechnology and signal at
Reason technology carrys out identification maneuver.The most obvious shortcoming of this technology is：Professional equipment is needed to complete to detect, these set under normal circumstances
Standby is all large-scale, not portability or carry difficulty, and this is very inconvenient for a lot of users.Skill based on wireless signal
Art, can by passive type RFID label tag is sticked on user's finger, using label motion come the action of identifying user finger
Change.The major defect of this technology is to depend on equipment and material, may also need to train in identification gesture motion early stage.
To sum up, the gestures detection technology being usually used at present, such as based on image recognition, based on bio signal, based on wireless
Signalling technique.It is that operation in certain environments implements more difficulty, or equipment cost is higher.Therefore, a kind of no special
Professional equipment, accuracy height, low cost, easy to use in multiple objects, user being examined close to the gesture of a certain target object
The proposition of detection identifying method is very valuable.
Content of the invention
In order to solve the problems of the prior art, the present invention proposes a kind of back-scattered signal that is based on and docks close-target object
Gesture detecting method, when handss are close to multiple RFID label tag collect back-scattered signal, passively listen reader and RFID mark
The communication process signed, creatively solves situation about coexisting in multiple label objects by the change of analysis and evaluation signal
Under, detection determines the really close target object of handss, and low cost detection efficiency is high.
In order to realize object above, the technical solution adopted in the present invention is：Comprise the following steps：
1) in the case of having multiple RFID label tag to coexist, by monitoring the backscatter communication of RFID label tag and reader
Process, obtains the EPC signal of multiple RFID label tag；
2) the EPC signal of the RFID label tag obtaining is recompiled；
3) according to step 2) coding characteristic be decoded；
4) in step 3) on the basis of, using a part of P of the EPC preface of RFID label tag1As input signal, and calculate
P1Coefficient of dispersion as tolerance examination criteria, when handss are close to a certain label, if the coefficient of dispersion change of this label is maximum,
This label is the close target labels of handss.
Described step 1) in reader messaging parameter control communication process is selected with ALOHA principle, reader is read at it
In reading scope, RFID label tag is inquired about, the random number that RFID label tag randomly chooses 16 is replied, if reader is only
Receive the reply of a RFID label tag and can be successfully decoded, ACK will be sent and notify RFID label tag, then RFID label tag is believed with EPC
Breath replys reader.
Described step 1) in using general software radio peripheral hardware USRP as audiomonitor, passively listen RFID label tag and readding
Read the backscatter communication process of device.
Described step 2) in the EPC signal of RFID label tag is recompiled using Miller -4 coded system, a bag
Containing four sub- carrier cycles.
Described step 2) recompile and comprise the following steps：First pass through detection RFID label tag EPC signal each is low
Last point under level, low and high level length phase is all 0, and otherwise for 1, recompile 0 and 1 by comparing between consecutive points
Make a distinction every I, if I ＞ M (M=40), for 1, otherwise for 0.
Described step 2) under the sample rate of 10M/s, the hits in subcarrier cycle sum is 30, comprises 15 high electricity
Flat spot and 15 low level points.
Described step 3) in be decoded according to Miller -4 coded system, every four continuous symbols are converted into 1.
Described step 3) in solution code value determined according to the position of " 1 " in four continuous symbols, if in four continuous symbols
The position of " 1 " is second or the 3rd, then solution code value is 1, otherwise for 0.
Described step 4) in P1The computing formula of coefficient of dispersion CV be：CV=σ/μ, wherein, σ is standard deviation, and μ is average
Number.
Compared with prior art, the present invention is posting in the case that multiple tag object coexist, label with random order to
Reader replys its EPC, and collected signal and source label can be contacted corresponding, when handss are close to RFID label tag by needs one by one
When, backscattered radiofrequency signal can be led to produce particularly apparent change.The present invention is by passively listening reader and RFID
The backscatter communication process of label, accurately distinguishes the signal of different labels by decoding algorithm, finally by analysis RFID
The coefficient of dispersion feature of label E PC preface determining the target object that user really will be close, by the change of analysis and evaluation signal
Change and creatively solve in the case that multiple label objects coexist, detection determines the really close target object of handss.By
In the present invention, RFID label tag used belongs to passive label, and cost is very low, therefore, it is possible to, in actual deployment system, be provided for a long term
The detection of low-cost high-efficiency.It is that the anti-of RFID label tag object is posted based on analysis in the Method And Principle of the detection gesture of the present invention
To complete to scattered signal to detect, compared to existing detection technique, the present invention does not need to carry any equipment, and user is not had yet
Limitation, using very convenient.
Further, the present invention is compatible with existing equipment (COTS), defers to EPCglobalC1G2 agreement.In the present invention, read
Read device and label passes through to launch radiofrequency signal Continued communication, USRP monitors analysis backscatter communication signal, by the weight to EPC
Newly encoded and decoding process reaches the purpose close to target object gesture for the accurate detection.Through many experiments demonstration, in the present invention
In multiple labeled object minimum spacings be 5cm, when spacing is for 30cm, accuracy rate nearly reaches 100%, whole invents
Average Accuracy be 92%.
Brief description
Fig. 1 is EPCglobal C1G2 backscatter agreement schematic diagram；
Fig. 2 a be PIE graphical diagram, Fig. 2 b be Miller -4 subcarrier sequence chart, Fig. 2 c be Miller -4 preface figure；
Fig. 3 is the sample figure recompiling；
Fig. 4 is EPC decoding algorithm flow chart；
Fig. 5 is EPC decoding algorithm schematic diagram；
Fig. 6 a be close to label 1 when coefficient of dispersion variation diagram, Fig. 6 b be close to label 2 when coefficient of dispersion variation diagram.
Specific embodiment
With reference to specific embodiment and explanation accompanying drawing, the present invention is further explained.
The present invention comprises the following steps：
1) in the case of having multiple RFID label tag to coexist, using general software radio peripheral hardware USRP as audiomonitor,
Passively listen the backscatter communication process of RFID label tag and reader, reader selects messaging parameter with ALOHA principle and controls
Communication process processed, reader is inquired about to RFID label tag in its reading range, and RFID label tag randomly chooses 16 random
Number is replied, if reader only receives the reply of a RFID label tag and can be successfully decoded, will send ACK and notify RFID mark
Sign, then RFID label tag replys reader with EPC information, thus obtaining the EPC signal of multiple RFID label tag；
2) the EPC signal of the RFID label tag obtaining is recompiled, again compiled using Miller -4 coded system
Code, one comprises four sub- carrier cycles, and under the sample rate of 10M/s, the hits sum in subcarrier cycle is 30, comprises 15
Individual high level and 15 low levels, recompile and comprise the following steps：First pass through detection RFID label tag EPC signal each
Last point under low level, low and high level length phase is all 0, and otherwise for 1, recompile 0 and 1 by comparing consecutive points
Interval I makes a distinction, if I ＞ M (M=40), for 1, otherwise for 0；
3) according to step 2) the coding characteristic of Miller -4 coded system be decoded, every four continuous symbols are converted into
1, solution code value determines according to the position of " 1 " in four continuous symbols, if the position of " 1 " is second in four continuous symbols
Or the 3rd, then solution code value is 1, otherwise for 0；
4) in step 3) on the basis of, using a part of P of the EPC preface of RFID label tag1As input signal, and calculate
P1Coefficient of dispersion as tolerance examination criteria, P1The computing formula of coefficient of dispersion CV be：CV=σ/μ, wherein, σ is standard
Difference, μ is average, and when handss are close to a certain label, if the coefficient of dispersion change of this label is maximum, this label is that handss are close
Target labels.
Referring to Fig. 1, hyperfrequency passive rfid system backscatter communication protocol procedures are：
In passive RFID communication, label is acquisition energy from the signal that reader sends.EPCglobalC1G2 assists
View is the main flow commercial criterion processing ultrahigh frequency RFID reader and passive tag interaction.Reader is selected logical with ALOHA principle
Letter parameter simultaneously controls communication process, and reader is inquired about to label in its reading range, label randomly choose 16 with
Machine number is replied, that is, RN16.If reader only receives the reply of a label and can be successfully decoded, it will send
ACK notified tag.Then label replys reader with EPC information.Fig. 1 shows the end points of signal in each process, clearly
Illustrate communication process.
Multiple objects comprise the following steps that close to the gesture detecting method of a certain target object to user：
1) pass through to monitor the backscatter communication process of RFID label tag and reader, obtain the EPC letter of multiple labels first
Number it should be noted that audiomonitor can only obtain signal can not decode identification EPC signal derive from which label, for this adopt
Recompile the mode of further decoding to solve this problem；
2) recompile：The coded system of passive type RFID label tag is Miller -4, that is, one comprises four subcarriers
Cycle, such as Fig. 2 a～2c, under the sample rate of 10M/s, the hits in subcarrier cycle is fixed value, and that is, sum is 30, wherein
Comprise 15 high level, 15 low levels, label E PC signal is recompiled：Recompile by detecting under each low level
Last point, low and high level length phase is all " 0 ", and " 0 " and " 1 " recompiling is by comparing the interval (I) of consecutive points
Make a distinction, if I ＞ M (M=40), for " 1 ", otherwise, then for " 0 ", the sample recompiling is as shown in Figure 3；
3) decode：Decoding algorithm is designed using the feature that Miller -4 encodes, its coded system such as Fig. 2 a～2c, that is, often
Four sub- carrier cycles form 1, and four continuous symbols are converted into 1, if symbol " 1 " is in the centre (the of four symbols
Two or the 3rd), then such four symbols are converted into 1, otherwise for 0, flow process such as Fig. 4 institute of concrete decoding algorithm
Show, wherein b represent start index, e represent end index；
For example by sequence perform decoding algorithm in Fig. 3, the symbol sebolic addressing of input is：
S=000000100000100100100000100001000100001, needs digit L=11 of decoding, such as Fig. 5
Shown, in A, four symbols are " 0100 ", you can must solve code value is 1, and in B, four symbols are " 0000 ", you can must solve code value
For 0, final output sequence B=01011100110, its preface P2=010111；
4) calculate coefficient of dispersion：It is therefore an objective to find out real in numerous user's handss in the multiple objects post RFID label tag
Close object, in step 3) on the basis of, in order to ensure data independence, using a part for EPC preface as shown in Figure 2 c
P1As input signal, and calculate P1Coefficient of dispersion (being represented with CV) as tolerance examination criteria, it is defined as：CV=σ/μ,
Wherein, σ is standard deviation, and μ is average, when handss are close to a certain label, if the coefficient of dispersion change of this label is maximum, this mark
Sign as the close target labels of handss.
In the present invention, by experiment, labeled multiple objects are put on the table, catch closely a certain thing
Body, the coefficient of dispersion of target labels changes than other labels greatly.As Fig. 6 a and 6b shows coefficient of dispersion as module
As a result, when handss are close to label 1, its coefficient of dispersion changes than label 2 more greatly, works as handss on the contrary close to label 2, its coefficient of dispersion changes relatively
Greatly, therefore when handss are close to a certain label, target labels have obvious coefficient of dispersion change.
In sum, to go out user by the change-detection of coefficient of dispersion in the case of multiple objects close for the present invention
Target object gesture.The present invention is by recompiling to EPC, then is according to design decoding algorithm with Miller -4 coding principle,
The last object really close by coefficient of dispersion detection determination user, its Detection accuracy is up to 92%.
Claims (9)
1. a kind of gesture detecting method based on back-scattered signal docking close-target object is it is characterised in that include following walking
Suddenly：
1) in the case of having multiple RFID label tag to coexist, by monitoring the backscatter communication mistake of RFID label tag and reader
Journey, obtains the EPC signal of multiple RFID label tag；
2) the EPC signal of the RFID label tag obtaining is recompiled；
3) according to step 2) coding characteristic be decoded；
4) in step 3) on the basis of, using a part of P of the EPC preface of RFID label tag1As input signal, and calculate P1's
Coefficient of dispersion as tolerance examination criteria, when handss are close to a certain label, if the coefficient of dispersion change of this label is maximum, this mark
Sign as the close target labels of handss.
2. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 1, its
Be characterised by, described step 1) in reader messaging parameter control communication process is selected with ALOHA principle, reader is read at it
In reading scope, RFID label tag is inquired about, the random number that RFID label tag randomly chooses 16 is replied, if reader is only
Receive the reply of a RFID label tag and can be successfully decoded, ACK will be sent and notify RFID label tag, then RFID label tag is believed with EPC
Breath replys reader.
3. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 2, its
Be characterised by, described step 1) in using general software radio peripheral hardware USRP as audiomonitor, passively listen RFID label tag and
The backscatter communication process of reader.
4. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 1, its
Be characterised by, described step 2) in the EPC signal of RFID label tag is recompiled using Miller -4 coded system, a bag
Containing four sub- carrier cycles.
5. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 4, its
It is characterised by, described step 2) recompile and comprise the following steps：First pass through detection RFID label tag EPC signal each is low
Last point under level, low and high level length phase is all 0, and otherwise for 1, recompile 0 and 1 by comparing between consecutive points
Make a distinction every Δ I, if Δ I ＞ M (M=40), for 1, otherwise for 0.
6. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 5, its
Be characterised by, described step 2) under the sample rate of 10M/s, the hits in subcarrier cycle sum is 30, comprise 15 high
Level point and 15 low level points.
7. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 1, its
Be characterised by, described step 3) in be decoded according to Miller -4 coded system, every four continuous symbols are converted into 1.
8. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 7, its
Be characterised by, described step 3) in solution code value determined according to the position of " 1 " in four continuous symbols, if in four continuous symbols
The position of " 1 " is second or the 3rd, then solution code value is 1, otherwise for 0.
9. a kind of gesture detecting method docking close-target object based on back-scattered signal according to claim 1, its
Be characterised by, described step 4) in P1The computing formula of coefficient of dispersion CV be：CV=σ/μ, wherein, σ is standard deviation, and μ is flat
Mean.
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| CN107135017A (en) * | 2017-04-28 | 2017-09-05 | 电子科技大学 | Backscatter communication system signal method of sending and receiving |
| CN109388927A (en) * | 2018-09-10 | 2019-02-26 | 西安交通大学 | Lightweight joint qualification method based on finger tip impedance and RFID label tag physical layer signal |
| CN113810445A (en) * | 2020-06-16 | 2021-12-17 | 香港理工大学深圳研究院 | Radio frequency identification method, radio frequency identification device and server |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107135017A (en) * | 2017-04-28 | 2017-09-05 | 电子科技大学 | Backscatter communication system signal method of sending and receiving |
| CN109388927A (en) * | 2018-09-10 | 2019-02-26 | 西安交通大学 | Lightweight joint qualification method based on finger tip impedance and RFID label tag physical layer signal |
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| CN113810445A (en) * | 2020-06-16 | 2021-12-17 | 香港理工大学深圳研究院 | Radio frequency identification method, radio frequency identification device and server |
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Application publication date: 20170308 |