CN103914132A - Method and system for recognizing gestures based on fingers - Google Patents
Method and system for recognizing gestures based on fingers Download PDFInfo
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Abstract
The invention discloses a method and a system for recognizing gestures based on fingers. The method includes acquiring radio frequency identification device (RFID) characteristic information from one or a plurality of passive ultra high frequency RFID labels; recognizing the gestures of a user according to the acquired RFID characteristic information.
Description
Technical field
Relate generally to pattern-recognition of the present invention.Particularly, the present invention relates to a kind of method and system that can identify the gesture based on finger.
Background technology
Along with the development of infotech, the especially fast development of the various technology relevant to user interactions, the kind that need to get more and more, more and more meticulousr and user's input accurately.Traditional input equipment, as keyboard, mouse have been difficult to meet above-mentioned requirements gradually.
What be applied gradually in recent years, is action based on user or the input of gesture.A kind of traditional mode is action or the gesture identification based on image, it is by for example image collecting device, catch image or the image sequence of user's whole body or user's part (as four limbs), by the image of catching or image sequence are analyzed, identification user's static state or dynamically action or gesture.The deficiency that this recognition methods that depends on image exists is that the relatively large processing speed that causes of image data amount is slow or to the computing power of recognition device is had relatively high expectations, identification based on visible ray causes existing the action that will identify or the relevant object of gesture may block each other problem.The problem of blocking especially can cause the gesture identification based on visible ray can not be used for meticulousr application, as the variation characteristic between seizure user's finger, to realize dummy keyboard.
Another kind of traditional method is that sensor is placed on to the position that user need to observe, as four limbs etc., and by the information of collecting sensor, identification user's action or gesture.The deficiency of sensor-based method is that high, a part of sensor of sensor price needs wired connection inconvenience, the extra power supply of a part of sensor needs, size sensor to cause being more greatly not suitable for being worn on the above gesture based on finger with identification of finger.
Therefore, need to overcome and block, wirelessly and the technology of gesture of meticulous identification at low cost based on finger.
Summary of the invention
Provide hereinafter about brief overview of the present invention, to the basic comprehension about some aspect of the present invention is provided.Should be appreciated that this general introduction is not about exhaustive general introduction of the present invention.It is not that intention is determined key of the present invention or pith, and nor is it intended to limit the scope of the present invention.Its object is only that the form of simplifying provides some concept, using this as the preorder in greater detail of discussing after a while.
The object of the invention is the problems referred to above for prior art, proposed a kind of method and system and corresponding input method and input media that can overcome occlusion issue and can identify subtly the gesture based on finger.
To achieve these goals, according to an aspect of the present invention, provide the method for the gesture of a kind of identification based on finger, having comprised: from being worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels user's finger, obtain RFID characteristic information; And according to obtained RFID characteristic information, identification user's gesture.
According to another aspect of the present invention, provide a kind of input method, having comprised: utilized recognition methods as above, the gesture of identification based on finger; And recognition result is converted to predetermined instruction output.
According to a further aspect of the invention, provide the system of the gesture of a kind of identification based on finger, having comprised: be worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels on user's finger; RFID characteristic information acquisition device, for obtaining RFID characteristic information from described RFID label; And gesture identifying device, for according to obtained RFID characteristic information, identify user's gesture.
According to a further aspect of the invention, provide a kind of input media, having comprised: recognition system as above, for identifying the gesture based on finger; And converting unit, for the recognition result of described recognition system being converted to predetermined instruction output.
In addition, according to a further aspect in the invention, also provide a kind of storage medium.Described storage medium comprises machine-readable program code, and when carry out described program code on messaging device time, described program code is carried out according to said method of the present invention described messaging device.
In addition, in accordance with a further aspect of the present invention, also provide a kind of program product.Described program product comprises the executable instruction of machine, and when carry out described instruction on messaging device time, described instruction is carried out according to said method of the present invention described messaging device.
Accompanying drawing explanation
Below with reference to the accompanying drawings illustrate embodiments of the invention, can understand more easily above and other objects, features and advantages of the present invention.Parts in accompanying drawing are just in order to illustrate principle of the present invention.In the accompanying drawings, same or similar technical characterictic or parts will adopt same or similar Reference numeral to represent.In accompanying drawing:
Fig. 1 shows according to the process flow diagram of the gesture identification method of the embodiment of the present invention;
Fig. 2 shows the particular flow sheet of the step S1 in Fig. 1;
Fig. 3 shows according to the process flow diagram of the input method of the embodiment of the present invention;
Fig. 4 shows according to the block diagram of the gesture recognition system of the embodiment of the present invention;
Fig. 5 shows according to the block diagram of the input media of the embodiment of the present invention; And
Fig. 6 illustrates and can be used for implementing according to the schematic block diagram of the computing machine of the method and system of the embodiment of the present invention.
Embodiment
In connection with accompanying drawing, one exemplary embodiment of the present invention is described in detail hereinafter.All features of actual embodiment are not described for clarity and conciseness, in instructions.But, should understand, in the process of any this actual embodiment of exploitation, must make much decisions specific to embodiment, to realize developer's objectives, for example, meet and those restrictive conditions of system and traffic aided, and these restrictive conditions may change to some extent along with the difference of embodiment.In addition,, although will also be appreciated that development is likely very complicated and time-consuming, concerning having benefited from those skilled in the art of present disclosure, this development is only routine task.
At this, also it should be noted is that, for fear of the details because of unnecessary fuzzy the present invention, only show in the accompanying drawings with according to the closely-related apparatus structure of the solution of the present invention and/or treatment step, and omitted other details little with relation of the present invention.In addition, also it is pointed out that element and the feature in an accompanying drawing of the present invention or a kind of embodiment, described can combine with element and feature shown in one or more other accompanying drawing or embodiment.
It should be noted that the action of above mentioning refers to the limb action of user's whole body or user's a part (as four limbs), as drop to the ground, running etc.The gesture of above mentioning comprises hand as a whole and separately or the action of making together with arm, as the action of waving, making when traffic police's instruction motor vehicles parking, i.e. carry arm forward, and upright palm.Gesture also comprises static state or the dynamic gesture based on finger.Static state based on finger or dynamic gesture refer to the gesture that relies on form, arrangement, relative position and the variation thereof etc. of finger itself to express.Static gesture based on finger is as " V " type gesture, and the dynamic gesture based on finger is as from launching all fingers to shrinking the gesture of clenching fist of all fingers.
The present invention pays close attention to the identification of the gesture based on finger.
Because the identification of gesture based on finger needs to be grasped the positional information of each finger or reflects the information of the position of each finger, therefore, sensor referred to above, active radio frequency identification (RFID) labels, high-frequency RF ID label can not be adopted, and passive ultra-high frequency RFID label should be adopted.
Owing to adopting wireless radio-frequency, the RFID within the scope of antenna read-write therefore can be detected, avoid the occlusion issue existing based on the technology of visible ray.Meanwhile, owing to adopting passive RFID tags, so label volume little, can be worn on user's finger, and implementation cost is cheap.And owing to adopting ultra-high frequency RFID label, so relative high frequency RFID label, the read-write scope of antenna is larger, is suitable for the application of gesture identification.
Below with reference to Fig. 1, the flow process of gesture identification method is according to an embodiment of the invention described.
Fig. 1 shows according to the process flow diagram of the gesture identification method of the embodiment of the present invention.As shown in Figure 1, according to gesture identification method 100 of the present invention, comprise the steps:, from being worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels user's finger, to obtain RFID characteristic information (step S1); And according to obtained RFID characteristic information, identification user's gesture (step S2).
Fig. 2 shows the particular flow sheet of the step S1 in Fig. 1.
As shown in Figure 2, first, the aerial array forming from least three antennas, in predetermined work mode, sends radiofrequency signal (step S21).
The type of antenna being not particularly limited in the present invention can be omnidirectional antenna, directional antenna etc.
Then, the response signal (step S22) from RFID label by antenna reception.
Then,, from received response signal, obtain RFID characteristic information (step S23).
RFID characteristic information comprises: one or more in the response signal intensity (Received SignalStrength, RSS) of RFID label, responsiveness (Response Rate), response time (Response Time), No. ID (Identification number).
The response signal intensity of RFID label can reflect the distance between label and antenna individually.For the passive ultra-high frequency RFID label adopting for the present invention, effectively reading/writing distance is 3 meters of left and right, in 3 meters, and the increase of response signal intensity distance and successively decreasing, therefore, the RSS of RFID label can reflect the distance of label and antenna.If three antennas can obtain the RSS for same label, can, according to three RSS, determine the position of this label.
The responsiveness of RFID label can separately or be combined with to reflect the distance between label and antenna with No. ID.As mentioned above, the read-write of RFID is limited in scope, and therefore, the height of responsiveness has or not the distance that can embody label and antenna.Suppose according to responsiveness and judge that three antennas can read same label for No. ID, the common factor of read-write scope corresponding to the emissive power of these three antennas is exactly the position at label place.In addition, for the same antenna, different emissive powers is corresponding to different read-write scopes, if by adjusting the emissive power of the same antenna, the responsiveness of a certain RFID label is grown out of nothing, and can determine that this label is positioned at the part of the difference of two read-write scopes corresponding to two emissive powers.
The response time of RFID also can be reflected the distance between label and antenna individually.If RFID read-write equipment has crystal oscillator, temporal information can be provided,, according to the time of antenna transmission radiofrequency signal and reception RFID response signal, the transmission speed of binding signal, can calculate the distance between label and antenna.
No. ID of RFID can be in conjunction with the more accurate position of above-mentioned feature reflection.For example, suppose all to have worn a RFID label on five fingers of user, and can both be positioned, can go out gesture according to navigate to five location recognition.If further know the ID of RFID label,, in V-type gesture, can be identified as two kinds of gestures, i.e. the dorso-anterior V-type gesture of hand and palm of the hand V-type gesture forward before and after forefinger and middle finger transposition.
Response signal intensity, responsiveness, the response time of above-mentioned RFID label, also can be combined with various combinations for No. ID, those skilled in the art will be understood that more information can reflect the position of label more accurately.
Visible, above-mentioned RFID characteristic information can reflect the distance between label and antenna, can be used for label to position, but be not the positional information of label itself.
The present inventor finds, can directly utilize these RFID characteristic informations to carry out the relevant treatment of gesture identification, and needn't be first according to the positional information of above-mentioned information acquisition label, then carries out the relevant treatment of gesture identification according to positional information.Obviously, method of the present invention does not need tag location processing, and therefore step is few, and processing speed is fast, and is not subject to the Accuracy of tag location processing.
In above-mentioned steps S21, the aerial array forming from least three antennas, in predetermined work mode, sends radiofrequency signal.It should be noted that herein and can, in conjunction with the RFID characteristic information of specifically selecting, design suitable antenna working method, to obtain better RFID characteristic information.
For example, each antenna in aerial array can take turns to operate, and makes synchronization only have an antenna or the multiple antennas relatively far away of distance each other to work simultaneously.Because the physical distance of each antenna in aerial array is very near, so if the antenna closing on is worked simultaneously, easily produce larger interference, disturb and can reduce precision, to such an extent as to cannot distinguish each finger.Therefore, can design if upper type is to avoid the interference between antenna.
It should be noted that each antenna is compared in above-mentioned working method in turn, the emissive power of the radiofrequency signal sending can be the same or different.This has determined the read-write scope separately of each antenna.For the same antenna, the emissive power of its each radiofrequency signal sending also can be identical or different.
In the time that the same antenna sends radiofrequency signal with known predetermined power, the response signal intensity of RFID label can reflect the distance of this antenna and this label.
In the time that the each transmission of the same antenna has the radiofrequency signal of different capacity, the read-write scope difference of antenna.In conjunction with the responsiveness of RFID label, can reflect more accurately the position of RFID label.As mentioned above, if by adjusting the emissive power of the same antenna, the responsiveness of a certain RFID label is grown out of nothing, and can determine that this label is positioned at the part of the difference of two scopes corresponding to two emissive powers.
Therefore, predetermined working method also comprises: regulate the emissive power of antenna, make the each radiofrequency signal with different capacity that sends of the same antenna.
In step S22, the response signal by antenna reception from RFID label.
It should be noted that the response signal of all RFID labels within the scope of its read-write of each antenna reception, not for certain fixing RFID label.
In step S23, from received response signal, obtain RFID characteristic information.
By the response signal receiving is carried out to protocol analysis, can extract the relevant information of RFID.Acquisition step herein can be corresponding with above-mentioned predetermined work mode, from the response signal of the antenna from work, obtains RFID characteristic information.
Get back to Fig. 1, in step S2, according to obtained RFID characteristic information, identification user's gesture.
As mentioned above, the RFID characteristic information obtaining can reflect the position of RFID label, and user's static gesture has been embodied in the position of RFID label, and the variation of the position of RFID label has embodied user's dynamic gesture.So, can utilize the sorter training, according to obtained RFID characteristic information, identification user's gesture.
Any suitable sorter that sorter can adopt those skilled in the art to know, includes but not limited to Bayes classifier, K-NN(K arest neighbors) sorter, ANN(artificial neural network) sorter, SVM(support vector machine) sorter etc.
In the time of training, by sorter input RFID characteristic information and corresponding user's gesture, sorter is learnt.When reaching predetermined condition, as training sample reaches sufficient amount, or the accuracy of sorter identification is while reaching predetermined threshold, can deconditioning.
The sorter training, the RFID characteristic information obtaining, can export user's gesture identification result in input.
It will be understood by those skilled in the art that training is corresponding with identification (i.e. application).If input is static gesture and corresponding RFID characteristic information when training, while identification, can identify static gesture according to RFID characteristic information.If input is dynamic gesture and corresponding RFID characteristic information when training, while identification, can identify dynamic gesture according to RFID characteristic information.In addition, choosing also of the kind of RFID characteristic information should be consistent in the time of training and identification.
Below with reference to Fig. 3, the flow process of input method is according to an embodiment of the invention described.
Fig. 3 shows according to the process flow diagram of the input method of the embodiment of the present invention.As shown in Figure 3, according to input method 300 of the present invention, comprise the steps: to utilize recognition methods as above, the gesture (step S31) of identification based on finger; And recognition result is converted to predetermined instruction output (step S32).
Recognition methods as above can be identified the gesture based on finger.Correspondingly, as input method, can obtain identified gesture, and according to predetermined mapping ruler, gesture is converted to corresponding instruction output.Like this, other device associated with input media can obtain the instruction corresponding with gesture, to carry out corresponding operation.
Below, describe according to the recognition system of the embodiment of the present invention with reference to Fig. 4.
Fig. 4 shows according to the block diagram of the gesture recognition system of the embodiment of the present invention.As shown in Figure 4, gesture recognition system 400 according to the present invention is for identifying the gesture based on finger, and this gesture recognition system 400 comprises: be worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels 41 on user's finger; RFID characteristic information acquisition device 42, for obtaining RFID characteristic information from described RFID label; Gesture identifying device 43, for according to obtained RFID characteristic information, identifies user's gesture.
In one embodiment, RFID characteristic information acquisition device 42 comprises: at least three aerial arrays 421 that antenna forms, for sending radiofrequency signal and receiving the response signal from described RFID label; Characteristic information obtains unit 422, for obtain described RFID characteristic information from described response signal; Control module 423, operates in predetermined work mode for control antenna array 421 and characteristic information acquisition unit 422.
In one embodiment, RFID characteristic information comprises: one or more in the response signal intensity of RFID label 41, responsiveness, response time, No. ID.
In one embodiment, each antenna in control module 423 control antenna arrays 421 takes turns to operate, make synchronization only have an antenna or the multiple antennas relatively far away of distance each other to work, and controlling feature information acquisition unit 422 carry out the corresponding operation that obtains simultaneously.
In one embodiment, control module 423 is adjusted the emissive power of each antenna in aerial array 421, makes the same antenna send the radiofrequency signal with different capacity at every turn, and controlling feature information acquisition unit 422 carries out the corresponding operation that obtains.
In one embodiment, gesture identifying device 43 comprises sorter 431, for according to obtained RFID characteristic information, identifies user's gesture.
In one embodiment, gesture identifying device 43 also comprises trainer 432, for utilizing known user's gesture and corresponding RFID characteristic information training classifier 431 until reach predetermined condition.
Fig. 5 shows according to the block diagram of the input media of the embodiment of the present invention.As shown in Figure 5, input media 500 according to the present invention comprises: gesture recognition system 51 as above, for identifying the gesture based on finger; And converting unit 52, for the recognition result of gesture recognition system 51 being converted to predetermined instruction output.
Due to the processing in the included unit of gesture recognition system 400 according to the present invention, input media 500 respectively with each step of above-described gesture identification method 100, input method 300 in processing similar, therefore omit for simplicity, the detailed description of these unit at this.
In addition, still need and be pointed out that here, in the said equipment, each component devices, unit can be configured by the mode of software, firmware, hardware or its combination.Configure spendable concrete means or mode and be well known to those skilled in the art, do not repeat them here.In the situation that realizing by software or firmware, to the computing machine (example multi-purpose computer 600 as shown in Figure 6) with specialized hardware structure, the program that forms this software is installed from storage medium or network, this computing machine, in the time that various program is installed, can be carried out various functions etc.
Fig. 6 illustrates and can be used for implementing according to the schematic block diagram of the computing machine of the method and apparatus of the embodiment of the present invention.
In Fig. 6, CPU (central processing unit) (CPU) 601 carries out various processing according to the program of storage in ROM (read-only memory) (ROM) 602 or from the program that storage area 608 is loaded into random access memory (RAM) 603.In RAM603, also store as required data required in the time that CPU601 carries out various processing etc.CPU601, ROM602 and RAM603 are connected to each other via bus 604.Input/output interface 605 is also connected to bus 604.
Following parts are connected to input/output interface 605: importation 606(comprises keyboard, mouse etc.), output 607(comprises display, such as cathode-ray tube (CRT) (CRT), liquid crystal display (LCD) etc., with loudspeaker etc.), storage area 608(comprises hard disk etc.), communications portion 609(comprises that network interface unit is such as LAN card, modulator-demodular unit etc.).Communications portion 609 via network such as the Internet executive communication processing.As required, driver 610 also can be connected to input/output interface 605.Detachable media 611, such as disk, CD, magneto-optic disk, semiconductor memory etc. can be installed on driver 610 as required, is installed in storage area 608 computer program of therefrom reading as required.
In the situation that realizing above-mentioned series of processes by software, from network such as the Internet or storage medium are such as detachable media 611 is installed the program that forms softwares.
It will be understood by those of skill in the art that this storage medium is not limited to wherein having program stored therein shown in Fig. 6, distributes separately the detachable media 611 so that program to be provided to user with equipment.The example of detachable media 611 comprises disk (comprising floppy disk (registered trademark)), CD (comprising compact disc read-only memory (CD-ROM) and digital universal disc (DVD)), magneto-optic disk (comprising mini-disk (MD) (registered trademark)) and semiconductor memory.Or storage medium can be hard disk comprising in ROM602, storage area 608 etc., wherein computer program stored, and be distributed to user together with comprising their equipment.
The present invention also proposes a kind of program product that stores the instruction code that machine readable gets.When described instruction code is read and carried out by machine, can carry out above-mentioned according to the method for the embodiment of the present invention.
Correspondingly, be also included within of the present invention open for carrying the storage medium of the above-mentioned program product that stores the instruction code that machine readable gets.Described storage medium includes but not limited to floppy disk, CD, magneto-optic disk, storage card, memory stick etc.
In the above in the description of the specific embodiment of the invention, describe and/or the feature that illustrates can be used in same or similar mode in one or more other embodiment for a kind of embodiment, combined with the feature in other embodiment, or substitute the feature in other embodiment.
Should emphasize, term " comprises/comprises " existence that refers to feature, key element, step or assembly while use herein, but does not get rid of the existence of one or more further feature, key element, step or assembly or add.
In addition, the time sequencing of describing during method of the present invention is not limited to is to specifications carried out, also can be according to other time sequencing ground, carry out concurrently or independently.The execution sequence of the method for therefore, describing in this instructions is not construed as limiting technical scope of the present invention.
Although the present invention is disclosed by the description to specific embodiments of the invention above,, should be appreciated that, above-mentioned all embodiment and example are all illustrative, and not restrictive.Those skilled in the art can design various modifications of the present invention, improvement or equivalent in the spirit and scope of claims.These modifications, improvement or equivalent also should be believed to comprise in protection scope of the present invention.
remarks
1. a method for the gesture of identification based on finger, comprising:
From being worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels user's finger, obtain RFID characteristic information;
According to obtained RFID characteristic information, identification user's gesture.
2. the method as described in remarks 1, wherein, described obtaining step comprises:
The aerial array forming from least three antennas, in predetermined work mode, sends radiofrequency signal;
Receive the response signal from described RFID label;
From received response signal, obtain described RFID characteristic information.
3. the method as described in remarks 1, wherein, described RFID characteristic information comprises: one or more in the response signal intensity of RFID label, responsiveness, response time, No. ID.
4. the method as described in remarks 2, wherein, described predetermined work mode comprises:
Each antenna in aerial array takes turns to operate, and makes synchronization only have an antenna or the multiple antennas relatively far away of distance each other to work simultaneously.
5. the method as described in remarks 4, wherein, described predetermined work mode also comprises:
Regulate the emissive power of antenna, make the each radiofrequency signal with different capacity that sends of the same antenna.
6. the method as described in remarks 1, wherein, utilizes the sorter training, and carries out described identification;
And train as follows described sorter:
Input known user's gesture and corresponding RFID characteristic information;
Utilize the above-mentioned information of inputting, train described sorter until reach predetermined condition.
7. an input method, comprising:
Utilize the method as described in one of remarks 1-6, the gesture of identification based on finger;
Recognition result is converted to predetermined instruction output.
8. a system for the gesture of identification based on finger, comprising:
Be worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels on user's finger;
RFID characteristic information acquisition device, for obtaining RFID characteristic information from described RFID label;
Gesture identifying device, for according to obtained RFID characteristic information, identifies user's gesture.
9. the system as described in remarks 8, wherein, described RFID characteristic information acquisition device comprises:
At least three aerial arrays that antenna forms, for sending radiofrequency signal and receiving the response signal from described RFID label;
Characteristic information obtains unit, for obtain described RFID characteristic information from described response signal;
Control module, obtains unit and operates in predetermined work mode for controlling described aerial array and described characteristic information.
10. the system as described in remarks 8, wherein, described RFID characteristic information comprises: one or more in the response signal intensity of RFID label, responsiveness, response time, No. ID.
11. systems as described in remarks 9, wherein, each antenna described in described control module control in aerial array takes turns to operate, make synchronization only have an antenna or the multiple antennas relatively far away of distance each other to work simultaneously, and control described characteristic information acquisition unit and carry out the corresponding operation that obtains.
12. systems as described in remarks 11, wherein, described control module is adjusted the emissive power of each antenna in described aerial array, makes each transmission of the same antenna have the radiofrequency signal of different capacity, and controls described characteristic information acquisition unit and carry out the corresponding operation that obtains.
13. systems as described in remarks 8, wherein, described gesture identifying device comprises sorter, for according to obtained RFID characteristic information, identification user's gesture.
14. systems as described in remarks 13, described gesture identifying device also comprises trainer, for utilizing known user's gesture and corresponding RFID characteristic information to train described sorter until reach predetermined condition.
15. 1 kinds of input medias, comprising:
System as described in one of remarks 8-14, for identifying the gesture based on finger;
Converting unit, for being converted to the recognition result of described system predetermined instruction output.
Claims (10)
1. a method for the gesture of identification based on finger, comprising:
From being worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels user's finger, obtain RFID characteristic information; And
According to obtained RFID characteristic information, identification user's gesture.
2. the method for claim 1, wherein described obtaining step comprises:
The aerial array forming from least three antennas, in predetermined work mode, sends radiofrequency signal;
Receive the response signal from described RFID label;
From received response signal, obtain described RFID characteristic information.
3. method as claimed in claim 2, wherein, described predetermined work mode comprises:
Each antenna in aerial array takes turns to operate, and makes synchronization only have an antenna or the multiple antennas relatively far away of distance each other to work simultaneously.
4. method as claimed in claim 3, wherein, described predetermined work mode also comprises:
Regulate the emissive power of antenna, make the each radiofrequency signal with different capacity that sends of the same antenna.
5. an input method, comprising:
Utilize the method as described in one of claim 1-4, the gesture of identification based on finger; And
Recognition result is converted to predetermined instruction output.
6. a system for the gesture of identification based on finger, comprising:
Be worn on the one or more passive ultra-high frequency radio frequency identification (RFID) labels on user's finger;
RFID characteristic information acquisition device, for obtaining RFID characteristic information from described RFID label; And
Gesture identifying device, for according to obtained RFID characteristic information, identifies user's gesture.
7. system as claimed in claim 6, wherein, described RFID characteristic information acquisition device comprises:
At least three aerial arrays that antenna forms, for sending radiofrequency signal and receiving the response signal from described RFID label;
Characteristic information obtains unit, for obtain described RFID characteristic information from described response signal;
Control module, obtains unit and operates in predetermined work mode for controlling described aerial array and described characteristic information.
8. system as claimed in claim 7, wherein, each antenna described in described control module control in aerial array takes turns to operate, make synchronization only have an antenna or the multiple antennas relatively far away of distance each other to work simultaneously, and control described characteristic information acquisition unit and carry out the corresponding operation that obtains.
9. system as claimed in claim 8, wherein, described control module is adjusted the emissive power of each antenna in described aerial array, makes each transmission of the same antenna have the radiofrequency signal of different capacity, and controls described characteristic information acquisition unit and carry out the corresponding operation that obtains.
10. an input media, comprising:
System as described in one of claim 6-9, for identifying the gesture based on finger; And
Converting unit, for being converted to the recognition result of described system predetermined instruction output.
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| CN108108028A (en) * | 2016-11-24 | 2018-06-01 | 华大半导体有限公司 | Utilize the method for ultra-high frequency RFID label control application program |
| CN109542220A (en) * | 2018-10-25 | 2019-03-29 | 广州大学 | A kind of sign language gloves, system and implementation method with calibration and learning functionality |
| CN109891342A (en) * | 2016-10-21 | 2019-06-14 | 通快机床两合公司 | Based on the manufacture control of indoor occupant positioning in metal-processing industry |
| CN110866468A (en) * | 2019-10-30 | 2020-03-06 | 上海交通大学 | Gesture recognition system and method based on passive RFID |
| CN111182585A (en) * | 2019-12-25 | 2020-05-19 | 航天信息股份有限公司 | WLAN-based indoor positioning method and system |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426477A (en) * | 2011-08-09 | 2012-04-25 | 广东科学中心 | Gesture detecting method and detecting device |
| CN102819315A (en) * | 2012-07-23 | 2012-12-12 | 中兴通讯股份有限公司 | 3D (three-dimension) man-machine interaction method and system |
-
2013
- 2013-01-07 CN CN201310004789.3A patent/CN103914132A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426477A (en) * | 2011-08-09 | 2012-04-25 | 广东科学中心 | Gesture detecting method and detecting device |
| CN102819315A (en) * | 2012-07-23 | 2012-12-12 | 中兴通讯股份有限公司 | 3D (three-dimension) man-machine interaction method and system |
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