CN105530357A - Gesture identity authentication system and method based on sensor on mobile phone - Google Patents
Gesture identity authentication system and method based on sensor on mobile phone Download PDFInfo
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- CN105530357A CN105530357A CN201510881484.XA CN201510881484A CN105530357A CN 105530357 A CN105530357 A CN 105530357A CN 201510881484 A CN201510881484 A CN 201510881484A CN 105530357 A CN105530357 A CN 105530357A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/66—Substation equipment, e.g. for use by subscribers with means for preventing unauthorised or fraudulent calling
- H04M1/667—Preventing unauthorised calls from a telephone set
- H04M1/67—Preventing unauthorised calls from a telephone set by electronic means
Abstract
The invention provides a gesture identity authentication system and method based on a sensor on a mobile phone, and relates to the field of identity authentication based on sensors on mobile phones. The gesture identity authentication system comprises an acceleration sensor used for recording real-time acceleration information of a user gesture in a moving process; a direction sensor used for recording azimuth angle information of the user gesture in the moving process; a preprocessing module used for carrying out filtering denoising and equal frequency sampling on the information recorded in the acceleration sensor and the direction sensor; a calculation module used for respectively calculating matching scores of the acceleration information and the azimuth angle information via a global sequence alignment algorithm, calculating a threshold through the matching scores and gesture information made by the user again, and then comparing the user gesture information input at each time with the threshold; and a template base module used for storing original samples of all user gestures and storing the matching scores and the threshold calculated by the calculation module. The gesture identity authentication system provided by the invention adopts no additional device to serve as support, is scarcely influenced by environmental factors and is safe and convenient to carry out identity authentication of the user on the mobile phone.
Description
Technical field
The present invention relates to sensor-based field of identity authentication on mobile phone, is specifically a kind of sensor-based gesture identity authorization system and method on mobile phone.
Background technology
Along with the network-enabled intelligent of society, mobile phone becomes the necessity in people's life, and incident is exactly security closely bound up with it, and the corresponding authenticating user identification technology of mobile phone also becomes hot research problem thereupon.
In the past, most people used conventional authentication method, and as password, PIN and drawing password etc., people conveniently can arrange fairly simple password usually, to be easy to obtain by other people and then successfully enter system.And based in the authentication method of biology, as physiological characteristic certifications such as fingerprint, palm, face and irises, often need extra equipment to support.Further, owing to being branded as, hair blocks or the extraneous factor such as light, can have an impact to the certification of face; Owing to pointing drying, damage, lines is more shallow, also can have an impact to fingerprint or palm authentication; These factors affected by environment are larger.Therefore a kind of safer, identification authentication mode is easily needed badly.
Summary of the invention
For the defect existed in prior art, the object of the present invention is to provide sensor-based gesture identity authorization system and method on a kind of mobile phone, without the need to extras as support, factor affected by environment is little, the authentication carrying out user of safe and convenient on mobile phone.
For reaching above object, the present invention takes sensor-based gesture identity authorization system on a kind of mobile phone, comprising: acceleration transducer, for the real time acceleration information of recording user gesture in moving process; Direction sensor, for the orientation angles information of recording user gesture in moving process; Pretreatment module, carries out filtering and noise reduction and equifrequent sampling to the information of the user's gesture recorded in acceleration transducer and direction sensor; Computing module, calculates the coupling mark of acceleration information and orientation angles information respectively by global sequence's alignment algorithm, the same gesture information made by coupling mark and user calculates threshold values, and will need user's gesture information of checking compared with threshold values; ATL module, for storing the original sample of all user's gestures, and stores the coupling mark that calculates of computing module and threshold values.
On the basis of technique scheme, described user's gesture is divided into three kinds, is respectively user's handheld mobile phone and overturns the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call.
On the basis of technique scheme, described user's handheld mobile phone repeats to make three identical gestures, acceleration transducer and direction sensor obtain respectively each time user's gesture information as original sample.
On the basis of technique scheme, described pretreatment module comprises the low pass Butterworth filter for filtering and noise reduction, also comprises the sampling module that resampling recovers equifrequent sampling.
The present invention also provides sensor-based gesture identity identifying method on a kind of mobile phone, comprises the steps:
S1. user's handheld mobile phone repeats to make three identical gestures, and acceleration transducer and direction sensor obtain user's gesture information each time respectively and, as original sample, after pretreatment module process, transfer to computing module and ATL module;
S2. three original samples respectively each transducer being obtained of computing module, mate between any two, the result after each coupling is calculated by global sequence's alignment algorithm, get the mean value of three results again, obtain the original match mark of each transducer, and the original match mark of each transducer is transferred to ATL module;
S3. user makes three same gesture informations again as assessment sample, and acceleration transducer and direction sensor obtain respectively and assess sample at every turn, after pretreatment module process, transfer to computing module;
S4. computing module assessment sample that each transducer is obtained at every turn, three corresponding with this transducer in ATL module respectively original samples are calculated by global sequence's alignment algorithm, result of calculation is averaged, obtain the evaluate matches mark that each transducer is each, by the original match mark of evaluate matches mark each for each transducer divided by this transducer, the maximum obtained is as the threshold values of this transducer;
S5. when user use mobile phone make a gesture verify time, acceleration transducer and direction sensor obtain checking gesture information respectively, after pretreatment module process, the checking gesture information that each transducer obtains by computing module, calculated by global sequence's alignment algorithm with three original samples respectively, result of calculation is averaged, obtain the checking coupling mark of each transducer, again divided by the original match mark of this transducer, the value obtained compares with the threshold values of this transducer, when each value obtained is not less than the threshold values of respective sensor, user rs authentication was used.
On the basis of technique scheme, user's gesture information that described each transducer collects stores in seasonal effect in time series mode and calculates, described global sequence alignment algorithm is on clearly defined matrix basis, and the time series do not waited for length obtains best alignment result.
On the basis of technique scheme, described user's gesture is divided into three kinds, is respectively user's handheld mobile phone and overturns the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call.
On the basis of technique scheme, while described user makes gesture, need a finger to keep in touch with mobile phone screen.
On the basis of technique scheme, described user using three kinds of gesture informations as original sample stored in ATL module, two transducers gather often kind of gesture information more respectively as assessment sample, by calculating the threshold values of often kind of gesture, user, according to actual service condition, at least selects wherein a kind of gesture to verify.
Beneficial effect of the present invention is:
1, make gesture by user's handheld mobile phone and carry out certification, without the need to extra equipment as support, registration and use procedure simple and convenient, can not such environmental effects be subject to.
2, user's gesture can usage behavior habitual movement, without the need to additionally remembeing, avoids PIN, situation that graphical passwords is forgotten occurs, and also prevent PIN, the leaking or stolen generation of graphical passwords, improves the fail safe of user authentication.
3, except user's gesture is as the typing of original sample, also need user again to make gesture as assessment sample, the two combination calculates threshold values, and user needs by threshold values comparison certification when certification, coupling certification is effective, further increases fail safe and accuracy that user recognizes.
4, user's gesture is divided into three kinds, is respectively user's handheld mobile phone and overturns the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call; All can be stored in mobile phone, and according to different service conditions, choose different user's gestures and verify, convenient and swift.
Accompanying drawing explanation
Fig. 1 is sensor-based gesture identity authorization system schematic diagram on embodiment of the present invention mobile phone;
Fig. 2 is sensor-based gesture identity identifying method schematic diagram on embodiment of the present invention mobile phone.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
As shown in Figure 1, sensor-based gesture identity authorization system on mobile phone of the present invention, mainly comprises acceleration transducer, direction sensor, pretreatment module, computing module and ATL module.
Acceleration transducer is used for the real time acceleration information of recording user gesture in moving process; Due to when mobile phone throwing vertically upward, the accekeration of acquisition covers gravity acceleration g, and the data thus obtained will deduct the component of acceleration of gravity on X-axis, Y-axis and Z axis three directions.Direction sensor is used for the orientation angles information of recording user gesture in moving process.Because user's gesture is when performing, direction and speed can ceaselessly change, and therefore degree of will speed up and direction information combine and carries out certification.
Pretreatment module, for carrying out filtering and noise reduction and equifrequent sampling to the information of the user's gesture recorded in acceleration transducer and direction sensor.Concrete, pretreatment module comprises low pass Butterworth filter and sampling module, and slight jitter during noise factor and manual operation due to transducer itself, therefore employing low pass Butterworth filter carries out filtering and noise reduction process.Transducer due to embedded in mobile phone is a kind of trigger mode, and namely one has action, and the triggering that the inside will be real-time produces data, and the data therefore obtained not are wait the sampling interval, need by sampling module, carry out the data that resampling recovers equifrequent sampling.
Computing module, calculates the coupling mark of acceleration information and orientation angles information respectively by global sequence's alignment algorithm, the same gesture information made by coupling mark and user calculates threshold values, and will need user's gesture information of checking compared with threshold values.Wherein global sequence's alignment algorithm is based on the thought of Dynamic Programming, on the basis of a clearly defined matrix, the time series do not waited for length obtains best alignment result, by finding best path from M (1,1) to M (m, thus obtain maximized mark Mmm m).
ATL module, for storing the original sample of all user's gestures, and stores the coupling mark that calculates of computing module and threshold values.User's gesture is divided into three kinds, is respectively user's handheld mobile phone and overturns the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call.Described user's handheld mobile phone repeats to make three identical gestures, acceleration transducer and direction sensor obtain respectively each time user's gesture information as original sample.
As shown in Figure 2, be gesture identity identifying method schematic diagram sensor-based on embodiment of the present invention mobile phone, in the present embodiment, for a kind of user's gesture, concrete steps are as follows:
S1. user's handheld mobile phone repeats to make three identical gestures, and acceleration transducer and direction sensor obtain each time that user's gesture information is as original sample respectively, and original sample, after pretreatment module process, transfers to computing module and ATL module.Need a finger to keep in touch with mobile phone screen while user makes gesture, until after gesture finishes, just finger is taken away.
S2. three original samples respectively that processed, each transducer being obtained of computing module, carry out coupling between any two, the result after each coupling is calculated by global sequence's alignment algorithm, get the mean value of three results again, obtain the original match mark of each transducer, and the original match mark of each transducer is transferred in ATL module store.User's gesture information that described each transducer collects stores in seasonal effect in time series mode and calculates, such as acceleration transducer, and three times original sample mates between two, calculates the result after each coupling by global sequence's alignment algorithm; When twice original sample mates time, on X-axis, Y-axis, Z axis, mating respectively between same axis, being averaged obtaining three matching results that each axle obtains, be i.e. (Δ
1,2, Δ
1,3, Δ
2,3); And then three values are averaged, obtain
μ
tfor the original match mark of acceleration transducer.In like manner, through calculating the coupling mark of direction sensor.
S3. user makes three same gesture (identical with original sample) information again as assessment sample, and acceleration transducer and direction sensor obtain respectively and assess sample at every turn, after pretreatment module process, transfer to computing module.A finger is needed to keep in touch with mobile phone screen while user makes gesture.Assessment sample is to obtain the decision threshold more pressing close to real user.
S4. computing module assessment sample that each transducer is obtained at every turn, three corresponding with this transducer in ATL module respectively original samples are calculated by global sequence's alignment algorithm, result of calculation is averaged, obtain the evaluate matches mark that each transducer is each, concrete account form is identical with principle in S2.By the original match mark of evaluate matches mark each for each transducer divided by this transducer, in three assessment samples, the maximum obtained is as the threshold values of this transducer.
S5. when user use mobile phone make a gesture verify time, acceleration transducer and direction sensor obtain checking gesture information respectively, after pretreatment module process, pass to computing module.The checking gesture information that each transducer obtains by computing module, calculated by global sequence's alignment algorithm with three original samples respectively, result of calculation averaged, concrete account form is identical with principle in S2; Obtain the original match mark of checking coupling mark divided by this transducer of each transducer, the value obtained compares with the threshold values of this transducer, and when each value obtained is not less than the threshold values of respective sensor, user rs authentication was used; If there is a value obtained to be less than the threshold values of respective sensor, then user is not by checking.
In above-mentioned steps, S1 and S2 can regard the registration stage as, S3 and S4 can regard evaluation stage as, and S5 can regard the operational phase of user as.
Because user's gesture is divided into three kinds, be respectively user's handheld mobile phone and overturn the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call.Therefore in the registration stage, user using three kinds of gesture informations as original sample stored in ATL module, under simultaneously calculating often kind of gesture according to step S1 and S2, the original match mark of each transducer.Then user again using three kinds of gestures as assessment sample, under calculating often kind of gesture according to step S3 and S4, the threshold values of each transducer.In the step S5 stage, during the actual use of user, wherein a kind of gesture is at least selected to verify.
User can also, according to different service conditions, select different gestures to verify, such as, user's handheld mobile phone overturns the action of rocking, for playing the situation of mobile phone at ordinary times; User's handheld mobile phone carries out the action of aerial signature, for the situation of mobile-phone payment; User's handheld mobile phone carries out the situation of action for receiving calls of answering the call; The real-time verification carrying out user that can be convenient, and safe and reliable.
The present invention is not limited to above-mentioned execution mode, and for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications are also considered as within protection scope of the present invention.The content be not described in detail in this specification belongs to the known prior art of professional and technical personnel in the field.
Claims (9)
1. a sensor-based gesture identity authorization system on mobile phone, is characterized in that, comprising:
Acceleration transducer, for the real time acceleration information of recording user gesture in moving process;
Direction sensor, for the orientation angles information of recording user gesture in moving process;
Pretreatment module, carries out filtering and noise reduction and equifrequent sampling to the information of the user's gesture recorded in acceleration transducer and direction sensor;
Computing module, calculates the coupling mark of acceleration information and orientation angles information respectively by global sequence's alignment algorithm, the same gesture information made by coupling mark and user calculates threshold values, and will need user's gesture information of checking compared with threshold values;
ATL module, for storing the original sample of all user's gestures, and stores the coupling mark that calculates of computing module and threshold values.
2. sensor-based gesture identity authorization system on mobile phone as claimed in claim 1, it is characterized in that: described user's gesture is divided into three kinds, be respectively user's handheld mobile phone and overturn the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call.
3. sensor-based gesture identity authorization system on mobile phone as claimed in claim 1, it is characterized in that: described user's handheld mobile phone repeats to make three identical gestures, acceleration transducer and direction sensor obtain respectively each time user's gesture information as original sample.
4. sensor-based gesture identity authorization system on mobile phone as claimed in claim 1, is characterized in that: described pretreatment module comprises the low pass Butterworth filter for filtering and noise reduction, also comprises the sampling module that resampling recovers equifrequent sampling.
5. on the mobile phone based on system described in claim 1, a sensor-based gesture identity identifying method, is characterized in that, comprise the steps:
S1. user's handheld mobile phone repeats to make three identical gestures, and acceleration transducer and direction sensor obtain user's gesture information each time respectively and, as original sample, after pretreatment module process, transfer to computing module and ATL module;
S2. three original samples respectively each transducer being obtained of computing module, mate between any two, the result after each coupling is calculated by global sequence's alignment algorithm, get the mean value of three results again, obtain the original match mark of each transducer, and the original match mark of each transducer is transferred to ATL module;
S3. user makes three same gesture informations again as assessment sample, and acceleration transducer and direction sensor obtain respectively and assess sample at every turn, after pretreatment module process, transfer to computing module;
S4. computing module assessment sample that each transducer is obtained at every turn, three corresponding with this transducer in ATL module respectively original samples are calculated by global sequence's alignment algorithm, result of calculation is averaged, obtain the evaluate matches mark that each transducer is each, by the original match mark of evaluate matches mark each for each transducer divided by this transducer, the maximum obtained is as the threshold values of this transducer;
S5. when user use mobile phone make a gesture verify time, acceleration transducer and direction sensor obtain checking gesture information respectively, after pretreatment module process, the checking gesture information that each transducer obtains by computing module, calculated by global sequence's alignment algorithm with three original samples respectively, result of calculation is averaged, obtain the checking coupling mark of each transducer, again divided by the original match mark of this transducer, the value obtained compares with the threshold values of this transducer, when each value obtained is not less than the threshold values of respective sensor, user rs authentication was used.
6. sensor-based gesture identity identifying method on mobile phone as claimed in claim 5, it is characterized in that: user's gesture information that described each transducer collects stores in seasonal effect in time series mode and calculates, described global sequence alignment algorithm is on clearly defined matrix basis, and the time series do not waited for length obtains best alignment result.
7. sensor-based gesture identity identifying method on mobile phone as claimed in claim 5, it is characterized in that: described user's gesture is divided into three kinds, be respectively user's handheld mobile phone and overturn the action, the user's handheld mobile phone that rock and carry out the action that the action of aerial signature and user's handheld mobile phone carry out answering the call.
8. sensor-based gesture identity identifying method on mobile phone as claimed in claim 7, is characterized in that: need a finger to keep in touch with mobile phone screen while described user makes gesture.
9. sensor-based gesture identity identifying method on mobile phone as claimed in claim 7, it is characterized in that: described user using three kinds of gesture informations as original sample stored in ATL module, two transducers gather often kind of gesture information more respectively as assessment sample, by calculating the threshold values of often kind of gesture, user, according to actual service condition, at least selects wherein a kind of gesture to verify.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105975822A (en) * | 2016-05-03 | 2016-09-28 | 厦门雅迅网络股份有限公司 | Method and system for authenticating sliding input graphic password |
| CN106384146A (en) * | 2016-09-23 | 2017-02-08 | 北京华大智宝电子系统有限公司 | Financial IC card, payment system and payment method |
| CN107592422A (en) * | 2017-09-20 | 2018-01-16 | 上海交通大学 | A kind of identity identifying method and system based on gesture feature |
| CN109146495A (en) * | 2018-08-14 | 2019-01-04 | 广东小天才科技有限公司 | Fast and safely start the method, apparatus and terminal device of payment |
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| JP2006084312A (en) * | 2004-09-16 | 2006-03-30 | Nec Tokin Corp | Walking support device and walking support method |
| CN102331840A (en) * | 2010-08-31 | 2012-01-25 | 微软公司 | User selection and navigation based on looped motions |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105975822A (en) * | 2016-05-03 | 2016-09-28 | 厦门雅迅网络股份有限公司 | Method and system for authenticating sliding input graphic password |
| CN105975822B (en) * | 2016-05-03 | 2021-03-23 | 厦门雅迅网络股份有限公司 | Authentication method and system for sliding input of graphic password |
| CN106384146A (en) * | 2016-09-23 | 2017-02-08 | 北京华大智宝电子系统有限公司 | Financial IC card, payment system and payment method |
| CN107592422A (en) * | 2017-09-20 | 2018-01-16 | 上海交通大学 | A kind of identity identifying method and system based on gesture feature |
| CN107592422B (en) * | 2017-09-20 | 2019-07-02 | 上海交通大学 | A kind of identity identifying method and system based on gesture feature |
| CN109146495A (en) * | 2018-08-14 | 2019-01-04 | 广东小天才科技有限公司 | Fast and safely start the method, apparatus and terminal device of payment |
| CN109146495B (en) * | 2018-08-14 | 2022-03-04 | 广东小天才科技有限公司 | Method and device for quickly and safely starting payment and terminal equipment |
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Application publication date: 20160427 |