CN112763117A - Touch detection method and device - Google Patents
Touch detection method and device Download PDFInfo
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- CN112763117A CN112763117A CN201911060152.XA CN201911060152A CN112763117A CN 112763117 A CN112763117 A CN 112763117A CN 201911060152 A CN201911060152 A CN 201911060152A CN 112763117 A CN112763117 A CN 112763117A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/0052—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes measuring forces due to impact
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/0028—Force sensors associated with force applying means
Abstract
A touch detection method and apparatus are disclosed. The touch detection method comprises the following steps: detecting a touch signal through an elastic wave sensor and converting the touch signal into electric signals to be identified in a plurality of frequency bands; generating an electric signal feature set to be identified according to the features of the electric signals to be identified of the multiple frequency bands, comparing the electric signal feature set to be identified with a reference signal feature set in a preset touch feature library, and determining whether the touch signal is an effective touch signal according to a comparison result. According to the technical scheme, effective touch information can be rapidly identified during touch detection, and invalid touch information is filtered out.
Description
Technical Field
The invention relates to the technical field of sensor detection, in particular to a touch detection method and device.
Background
With the development of the automobile industry, people pay more and more attention to the safety of vehicle driving. Due to the complexity of road traffic, collision accidents often occur.
The automobile driving recorder records image data in the driving process by means of the camera, and can only record and identify the surrounding conditions of the automobile uninterruptedly, but cannot judge whether collision happens actually, and when the collision happens, the automobile driving recorder cannot give an alarm or inform a remote monitoring platform at the first time.
With the development of a novel sensor, a touch positioning device is provided at present, sensors are arranged at several important parts of a vehicle body, and when the sensors at any one part detect that a collision occurs, the sensors can report to an automobile central control system or a remote monitoring platform to take emergency rescue measures.
However, since the above touch position device detects only the occurrence of a collision and does not distinguish the type of the collision, even if a small stone bouncing up from the road surface hits the vehicle body, an alarm is generated. The user experience is affected by too frequent alarms.
Disclosure of Invention
The invention provides a touch detection method and device, which can quickly identify effective touch information and filter out ineffective touch information during touch detection.
According to a first aspect of the present application, an embodiment of the present invention provides a touch detection method, including:
detecting a touch signal through an elastic wave sensor and converting the touch signal into electric signals to be identified in a plurality of frequency bands;
generating an electric signal feature set to be identified according to the features of the electric signals to be identified of the multiple frequency bands, comparing the electric signal feature set to be identified with a reference signal feature set in a preset touch feature library, and determining whether the touch signal is an effective touch signal according to a comparison result.
According to a second aspect of the present application, an embodiment of the present invention provides a touch detection device, including: the touch detection system comprises one or more elastic wave sensors, a memory, a processor and a touch detection program stored on the memory and capable of running on the processor, wherein the touch detection program realizes the steps of the touch detection method when being executed by the processor.
According to a third aspect of the present application, an embodiment of the present invention provides a computer-readable storage medium, on which a touch detection program is stored, and the touch detection program, when executed by a processor, implements the steps of the touch detection method.
Compared with the related art, according to the touch detection method and device provided by the embodiment of the invention, the touch signal is detected by the elastic wave sensor and converted into the electric signals to be identified in the multiple frequency bands, the electric signal feature set to be identified is generated according to the features of the electric signals to be identified in the multiple frequency bands, the electric signal feature set to be identified is compared with the reference signal feature set in the preset touch feature library, and whether the touch signal is an effective touch signal is determined according to the comparison result. According to the technical scheme of the embodiment of the invention, effective touch information can be quickly identified during touch detection, and invalid touch information is filtered.
Drawings
Fig. 1 is a flowchart of a touch detection method according to embodiment 1 of the present invention;
fig. 2 is a schematic view of a touch detection device according to embodiment 2 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a touch detection method, including:
step S110, detecting a touch signal through an elastic wave sensor and converting the touch signal into electric signals to be identified in a plurality of frequency bands;
step S120, generating an electric signal feature set to be identified according to the features of the electric signals to be identified of the multiple frequency bands, comparing the electric signal feature set to be identified with a reference signal feature set in a preset touch feature library, and determining whether the touch signal is an effective touch signal according to a comparison result;
in the above embodiment, the elastic wave sensor detects a touch signal and converts the touch signal into an electrical signal to be identified in multiple frequency bands, an electrical signal feature set to be identified is generated according to features of the electrical signal to be identified in the multiple frequency bands, the electrical signal feature set to be identified is compared with a reference signal feature set in a preset touch feature library, and whether the touch signal is an effective touch signal is determined according to a comparison result. Through the processing, effective touch information can be quickly identified during touch detection, and invalid touch information is filtered.
Wherein, touching includes: types of actions such as collision, touch, press, tap, etc.;
when the touch detection method is applied to an automobile driving application scene, the effective touch signal can be a signal generated by a touch event which is harmful to the driving safety of the automobile; the invalid touch signal may be a signal generated by a touch event that does not jeopardize the safety of the vehicle traveling;
valid touch signals are such as: a touch signal generated by touching a pedestrian, a touch signal generated by a vehicle before rear-end collision and the like; invalid touch signals are for example: the method comprises the following steps that (1) a touch signal generated when small stones bounced from a road surface touch an automobile body, a touch signal generated when branches scratch the automobile body and the like;
the elastic wave sensor includes, but is not limited to, a piezoelectric sensor, a strain sensor, and the like. The elastic wave sensor may be mounted on an inner wall of a vehicle body case, a front bumper of a vehicle body, or the like at a position where touch is easily detected. The piezoelectric sensor may include a piezoelectric ceramic sensor, a piezoelectric film sensor, a piezoelectric crystal sensor, or other sensors having a piezoelectric effect.
When the touch detection method is applied to a touch gesture application scene, for example, an elastic wave sensor is installed on the inner wall of a shell of a controller, and an effective touch signal can be a signal generated by a touch action with moderate touch, pressing and force; the invalid touch signal can be a short-time shock wave signal and the like caused by unexpected events such as sudden falling of the controller and the like;
in one embodiment, after determining whether the touch signal is a valid touch signal according to the comparison result, the method further includes:
if the touch signal is determined to be an effective touch signal, processing the touch signal; if the touch signal is determined not to be a valid touch signal, the touch signal is not processed.
In an application scenario of driving an automobile, the processing of the effective touch signal may include: alarming, starting a camera to shoot and the like.
In one embodiment, the detecting a touch signal by an elastic wave sensor and converting the touch signal into an electrical signal to be identified in multiple frequency bands includes:
respectively detecting touch signals through a plurality of elastic wave sensors to generate a plurality of paths of electric signals, and filtering each path of electric signal through a hardware processing circuit corresponding to the elastic wave sensor to obtain electric signals to be identified in a corresponding frequency band; the hardware processing circuits corresponding to the elastic wave sensors have different filtering frequency bands; or
The touch signal is detected through an elastic wave sensor to generate a broadband electric signal, and the broadband electric signal is subjected to software filtering processing to generate electric signals to be identified in multiple frequency bands.
That is, multiple sensors may be used to directly generate multiple electrical signals of different frequency bands, or one sensor may be used to generate one path of broadband electrical signal, and then multiple electrical signals of different frequency bands are derived from the broadband signal through software filtering.
The frequency band can be divided into three sections: low frequency signals, intermediate frequency signals, and high frequency signals. It may be divided more finely or more coarsely, for example, into more than three frequency bands or into only two frequency bands (e.g., low frequency and high frequency).
In the multi-band feature detection, compared with the single-band feature detection, most of the features of the signal are concentrated in the specific frequency band because the signal features are related to the frequency bands. Therefore, the signals are input from different frequency bands, so that the signals are more obvious in the specific frequency bands, and the signals can be more quickly and accurately matched and identified.
In one embodiment, the reference signal feature set comprises a feature set of one or more parameters of the reference signal;
the set of features for any one of the parameters includes at least one of the following features: the single-frequency band characteristic of the parameter in a single frequency band, and the multi-frequency band combined characteristic of a plurality of single-frequency band characteristics of the parameter after combined operation;
the number of single-frequency-band characteristics of any one parameter contained in the reference signal characteristic set is a; a is more than or equal to 1 and less than or equal to M; the number of the multi-band combined features of any one parameter contained in the reference signal feature set is b; b is more than or equal to 1 and less than or equal to 2M-1-M; m is the total number of frequency bands. The multiband combined characteristic of any one parameter may be a combined characteristic of any two frequency bands of the parameter, or a combined characteristic of any three frequency bands of the parameter, and the number of the frequency bands to be combined may be t, where t is a natural number greater than 1 and less than or equal to M.
The preset touch feature library can be used for performing experiments on various touch events, then collecting reference signals of the various touch events, and selecting features suitable for signal matching from various parameter features of the reference signals to generate a feature set.
In one embodiment, the set of features of the electrical signal to be identified comprises a set of features of one or more parameters of the electrical signal to be identified;
the feature set of any parameter of the electrical signal to be identified comprises at least one of the following features: the single-frequency band characteristic of the parameter in a single frequency band, and the multi-frequency band combined characteristic of a plurality of single-frequency band characteristics of the parameter after combined operation;
the number of the single-frequency-band characteristics of any one parameter contained in the characteristic set of the electric signal to be identified is c; c is more than or equal to 1 and less than or equal to M; the number of the multi-band combined features of any one parameter contained in the feature set of the electric signal to be identified is d; d is more than or equal to 1 and less than or equal to 2M-1-M; m is the total number of frequency bands. The multi-band combined characteristic of any one parameter may be a combined characteristic of any two frequency bands of the parameter, or a combined characteristic of any three frequency bands of the parameter, and the number of the frequency bands to be combined may be mAnd M is a natural number greater than 1 and less than or equal to M.
The set of parameter types included in the to-be-identified electrical signal feature set may be a subset of the set of parameter types included in the touch feature library. The single-frequency band feature set of any parameter in the electrical signal feature set to be identified may be a subset of the single-frequency band feature set of the corresponding parameter included in the reference signal feature set. The set of types of the multiband joint features of any one parameter in the feature set of the electrical signal to be identified may be a subset of the set of types of the multiband joint features of the corresponding parameter included in the feature set of the reference signal.
In one embodiment, the parameters include: maximum amplitude, minimum amplitude, peak-to-peak, phase, or power. In other embodiments, the parameters may be other physical quantities. The type of parameters is not strictly limited by this application.
In one embodiment, the joint operation comprises: and calculating a ratio or calculating a difference. In other embodiments, the joint operation may adopt other operation algorithms, and the specific manner of the joint operation may be various, and any operation manner that is favorable for enriching the essential characteristics of the signal may be used. For example, when the amplitude of the signal to be identified is small, the matching of the characteristics by simply using the signal amplitude may not be suitable for the reference signal, but after the ratio of the maximum values of the signal amplitudes of the signal to be identified in two different frequency bands (for example, high frequency and low frequency) is obtained, the comparison characteristics of the two can be matched for the suitable reference signal.
In one embodiment, the comparing the set of electrical signal characteristics to be identified with a set of reference signal characteristics in a preset touch characteristic library, and determining whether the touch signal is an effective touch signal according to a comparison result includes:
determining the similarity between the feature set of the electric signal to be identified and each reference signal feature set in a touch feature library through feature comparison; when at least one similarity degree which is larger than or equal to a threshold value exists, determining the touch signal as an effective touch signal; the touch characteristic library comprises a reference signal characteristic set of effective touch signals; or
Determining the similarity between the feature set of the electric signal to be identified and each reference signal feature set in a touch feature library through feature comparison; when the reference signal feature set with the highest similarity is the reference signal feature set of the invalid touch signal, determining that the touch signal is the invalid touch signal, and when the reference signal feature set with the highest similarity is the reference signal feature set of the valid touch signal, determining that the touch signal is the valid touch signal; the touch characteristic library comprises a reference signal characteristic set of an effective touch signal and a reference signal characteristic set of an ineffective touch signal.
In one embodiment, the determining the similarity between the set of features of the electrical signal to be identified and any one set of reference signal features in a touch feature library through feature comparison includes:
determining the similarity of each feature in the feature set of the electric signal to be identified and the corresponding feature in the feature set of the reference signal;
and performing weighted accumulation on the similarity of all the characteristics in the characteristic set of the electric signal to be identified to obtain an accumulated sum which is used as the similarity of the characteristic set of the electric signal to be identified and the reference signal characteristic set.
The similarity of different features in the feature set of the electrical signal to be recognized may have different weights, and the corresponding weights may be assigned according to the importance of each feature in matching. For example, a larger weight is assigned to a feature of a frequency band having a larger signal amplitude, and a smaller weight is assigned to a feature of a frequency band having a smaller signal amplitude. It is also possible to assign a larger weight to the ratio of the maximum amplitudes of the signals of the two frequency bands and a smaller weight to the ratio of the minimum amplitudes of the signals of the two frequency bands.
In one embodiment, the similarity S between any one feature in the feature set of the electrical signal to be identified and a corresponding feature in the feature set of the reference signal is determinediThe method comprises the following steps:
adopting the following formula one or formula twoCalculating Si：
The formula I is as follows:
the formula II is as follows:
wherein x isiIs the characteristic value of any one characteristic in the characteristic set of the electric signal to be identified, [ y [1,y2]Is the eigenvalue interval of the corresponding signature in the reference signal signature set.
The method for calculating the similarity through weighted accumulation has the advantages of concise algorithm and small occupied code space. Due to the adoption of a multi-band joint matching mode, the matching reliability is high.
In other embodiments, the to-be-identified electrical signal feature set is compared with a reference signal feature set in a preset touch feature library, and the similarity of the two feature sets can also be calculated by using similarity algorithms such as mean square error, cosine correlation and the like. The present application does not strictly limit the form of the matching algorithm between two feature sets, and any prior art method that enables matching between two feature sets can be used.
Example 2
As shown in fig. 2, an embodiment of the present invention provides a touch detection device, including:
the detection module 10 is used for detecting a touch signal through an elastic wave sensor and converting the touch signal into electric signals to be identified in multiple frequency bands;
the analysis module 20 is configured to generate a to-be-identified electrical signal feature set according to the features of the to-be-identified electrical signals of the multiple frequency bands, compare the to-be-identified electrical signal feature set with a reference signal feature set in a preset touch feature library, and determine whether the touch signal is an effective touch signal according to a comparison result.
In one embodiment, the reference signal feature set comprises a feature set of one or more parameters of the reference signal;
the set of features for any one of the parameters includes at least one of the following features: the single-frequency band characteristic of the parameter in a single frequency band, and the multi-frequency band combined characteristic of a plurality of single-frequency band characteristics of the parameter after combined operation;
the number of single-frequency-band characteristics of any one parameter contained in the reference signal characteristic set is a; a is more than or equal to 1 and less than or equal to M; the number of the multi-band combined features of any one parameter contained in the reference signal feature set is b; b is more than or equal to 1 and less than or equal to 2M-1-M; m is the total number of frequency bands.
In one embodiment, the set of features of the electrical signal to be identified comprises a set of features of one or more parameters of the electrical signal to be identified;
the feature set of any parameter of the electrical signal to be identified comprises at least one of the following features: the single-frequency band characteristic of the parameter in a single frequency band, and the multi-frequency band combined characteristic of a plurality of single-frequency band characteristics of the parameter after combined operation;
the number of the single-frequency-band characteristics of any one parameter contained in the characteristic set of the electric signal to be identified is c; c is more than or equal to 1 and less than or equal to M; the number of the multi-band combined features of any one parameter contained in the feature set of the electric signal to be identified is d; d is more than or equal to 1 and less than or equal to 2M-1-M; m is the total number of frequency bands.
In one embodiment, the joint operation comprises: and calculating a ratio or calculating a difference.
In one embodiment, the parameters include: maximum amplitude, minimum amplitude, peak-to-peak, phase, or power. In other embodiments, the parameters may be other physical quantities. The type of parameters is not strictly limited by this application.
In an embodiment, the analysis module is configured to compare the to-be-identified electrical signal feature set with a reference signal feature set in a preset touch feature library by using the following method, and determine whether the touch signal is an effective touch signal according to a comparison result:
determining the similarity between the feature set of the electric signal to be identified and each reference signal feature set in a touch feature library through feature comparison; when at least one similarity degree which is larger than or equal to a threshold value exists, determining the touch signal as an effective touch signal; the touch characteristic library comprises a reference signal characteristic set of effective touch signals; or
Determining the similarity between the feature set of the electric signal to be identified and each reference signal feature set in a touch feature library through feature comparison; when the reference signal feature set with the highest similarity is the reference signal feature set of the invalid touch signal, determining that the touch signal is the invalid touch signal, and when the reference signal feature set with the highest similarity is the reference signal feature set of the valid touch signal, determining that the touch signal is the valid touch signal; the touch characteristic library comprises a reference signal characteristic set of an effective touch signal and a reference signal characteristic set of an ineffective touch signal.
In an embodiment, the analysis module is configured to determine a similarity between the set of features of the electrical signal to be identified and any one set of reference signal features in the touch feature library through feature comparison in the following manner:
determining the similarity of each feature in the feature set of the electric signal to be identified and the corresponding feature in the feature set of the reference signal;
and performing weighted accumulation on the similarity of all the characteristics in the characteristic set of the electric signal to be identified to obtain an accumulated sum which is used as the similarity of the characteristic set of the electric signal to be identified and the reference signal characteristic set.
In one embodiment, the analysis module is configured to determine a similarity S between any one of the features in the feature set of the electrical signal to be identified and a corresponding feature in the feature set of the reference signal in the following manneri：
Calculating S by adopting the following formula I or formula IIi：
The formula I is as follows:
the formula II is as follows:
wherein x isiIs the characteristic value of any one characteristic in the characteristic set of the electric signal to be identified, [ y [1,y2]Is the eigenvalue interval of the corresponding signature in the reference signal signature set.
In one embodiment, the detection module is configured to detect a touch signal through an elastic wave sensor and convert the touch signal into an electrical signal to be identified in multiple frequency bands by the following method:
respectively detecting touch signals through a plurality of elastic wave sensors to generate a plurality of paths of electric signals, and filtering each path of electric signal through a hardware processing circuit corresponding to the elastic wave sensor to obtain electric signals to be identified in a corresponding frequency band; the hardware processing circuits corresponding to the elastic wave sensors have different filtering frequency bands; or
The touch signal is detected through an elastic wave sensor to generate a broadband electric signal, and the broadband electric signal is subjected to software filtering processing to generate electric signals to be identified in multiple frequency bands.
Example 3
An embodiment of the present invention provides a touch detection device, including:
a memory, a processor and a touch detection program stored in the memory and executable on the processor, wherein the touch detection program, when executed by the processor, implements the steps of the touch detection method of embodiment 1.
Example 4
An embodiment of the present invention provides a computer-readable storage medium, where a touch detection program is stored on the computer-readable storage medium, and the touch detection program, when executed by a processor, implements the steps of the touch detection method in embodiment 1.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
It should be noted that the present invention can be embodied in other specific forms, and various changes and modifications can be made by those skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. A touch detection method includes:
detecting a touch signal through an elastic wave sensor and converting the touch signal into electric signals to be identified in a plurality of frequency bands;
generating an electric signal feature set to be identified according to the features of the electric signals to be identified of the multiple frequency bands, comparing the electric signal feature set to be identified with a reference signal feature set in a preset touch feature library, and determining whether the touch signal is an effective touch signal according to a comparison result.
2. The method of claim 1, wherein:
the reference signal feature set comprises a feature set of one or more parameters of the reference signal;
the set of features for any one of the parameters includes at least one of the following features: the single-frequency band characteristic of the parameter in a single frequency band, and the multi-frequency band combined characteristic of the multiple single-frequency band characteristics of the parameter after combined operation.
3. The method of claim 1, wherein:
the characteristic set of the electric signal to be identified comprises the characteristic set of one or more parameters of the electric signal to be identified;
the feature set of any parameter of the electrical signal to be identified comprises at least one of the following features: the single-frequency band characteristic of the parameter in a single frequency band, and the multi-frequency band combined characteristic of the multiple single-frequency band characteristics of the parameter after combined operation.
4. The method of any one of claims 1-3, wherein:
the step of comparing the to-be-identified electrical signal feature set with a reference signal feature set in a preset touch feature library and determining whether the touch signal is an effective touch signal according to a comparison result includes:
determining the similarity between the feature set of the electric signal to be identified and each reference signal feature set in a touch feature library through feature comparison; when at least one similarity degree which is larger than or equal to a threshold value exists, determining the touch signal as an effective touch signal; the touch characteristic library comprises a reference signal characteristic set of effective touch signals; or
Determining the similarity between the feature set of the electric signal to be identified and each reference signal feature set in a touch feature library through feature comparison; when the reference signal feature set with the highest similarity is the reference signal feature set of the invalid touch signal, determining that the touch signal is the invalid touch signal, and when the reference signal feature set with the highest similarity is the reference signal feature set of the valid touch signal, determining that the touch signal is the valid touch signal; the touch characteristic library comprises a reference signal characteristic set of an effective touch signal and a reference signal characteristic set of an ineffective touch signal.
5. The method of claim 4, wherein:
the determining the similarity between the electric signal feature set to be identified and any reference signal feature set in the touch feature library through feature comparison comprises the following steps:
determining the similarity of each feature in the feature set of the electric signal to be identified and the corresponding feature in the feature set of the reference signal;
and performing weighted accumulation on the similarity of all the characteristics in the characteristic set of the electric signal to be identified to obtain an accumulated sum which is used as the similarity of the characteristic set of the electric signal to be identified and the reference signal characteristic set.
6. The method of claim 5, wherein:
determining the similarity S between any one feature in the feature set of the electric signal to be identified and the corresponding feature in the feature set of the reference signaliThe method comprises the following steps:
calculating S by adopting the following formula I or formula IIi：
The formula I is as follows:
the formula II is as follows:
wherein，xiIs the characteristic value of any one characteristic in the characteristic set of the electric signal to be identified, [ y [1,y2]Is the eigenvalue interval of the corresponding signature in the reference signal signature set.
7. The method of claim 1, wherein:
detect touch signal and convert into the treat discernment signal of telecommunication of a plurality of frequency channels through elastic wave sensor, include:
respectively detecting touch signals through a plurality of elastic wave sensors to generate a plurality of paths of electric signals, and filtering each path of electric signal through a hardware processing circuit corresponding to the elastic wave sensor to obtain electric signals to be identified in a corresponding frequency band; the hardware processing circuits corresponding to the elastic wave sensors have different filtering frequency bands; or
The touch signal is detected through an elastic wave sensor to generate a broadband electric signal, and the broadband electric signal is subjected to software filtering processing to generate electric signals to be identified in multiple frequency bands.
8. A method according to claim 2 or 3, characterized by:
the joint operation comprises: and calculating a ratio or calculating a difference.
9. A touch detection device, comprising: one or more elastic wave sensors, a memory, a processor and a touch detection program stored on the memory and executable on the processor, the touch detection program when executed by the processor implementing the steps of the touch detection method of any of claims 1-8.
10. A computer readable storage medium having a touch detection program stored thereon, the touch detection program, when executed by a processor, implementing the steps of the touch detection method of any of claims 1-8.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06206515A (en) * | 1993-01-11 | 1994-07-26 | Sensor Technol Kk | Collision sensor |
| CN1756681A (en) * | 2003-03-03 | 2006-04-05 | 西门子公司 | Method and device for recognizing a collision |
| CN101267966A (en) * | 2005-05-27 | 2008-09-17 | 西门子威迪欧汽车电子股份公司 | Device and method for controlling a passenger protection system of a motor vehicle |
| CN101968696A (en) * | 2009-07-27 | 2011-02-09 | 索尼公司 | Sensing a type of action used to operate a touch panel |
| CN103839047A (en) * | 2013-12-30 | 2014-06-04 | 华为技术有限公司 | Human motion track recognition method and device |
| CN104160364A (en) * | 2011-10-18 | 2014-11-19 | 卡内基梅隆大学 | Method and apparatus for classifying touch events on a touch sensitive surface |
| CN104228672A (en) * | 2013-06-10 | 2014-12-24 | 现代自动车株式会社 | Apparatus of sensing minor collision of vehicle and method thereof |
| CN105431799A (en) * | 2013-08-02 | 2016-03-23 | 齐科斯欧公司 | Capture of vibro-acoustic data used to determine touch types |
| CN107346193A (en) * | 2017-06-21 | 2017-11-14 | 深圳传音通讯有限公司 | Prevent the method and device of false touch screen |
| CN107848478A (en) * | 2015-07-10 | 2018-03-27 | 宝马股份公司 | The automatic identification of low speed collision and assessment |
| CN208622075U (en) * | 2018-07-09 | 2019-03-19 | 北京钛方科技有限责任公司 | Touch panel anti-error-touch device |
| CN109677352A (en) * | 2017-10-19 | 2019-04-26 | 福特全球技术公司 | Classified based on non-contact event of the bound control module accelerometer to vehicle periphery |
| CN110162193A (en) * | 2018-02-12 | 2019-08-23 | 北京钛方科技有限责任公司 | A kind of touching positioning device and method |
| CN110316131A (en) * | 2018-03-30 | 2019-10-11 | 北京钛方科技有限责任公司 | Vehicle collision means of defence and device |
-
2019
- 2019-11-01 CN CN201911060152.XA patent/CN112763117A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06206515A (en) * | 1993-01-11 | 1994-07-26 | Sensor Technol Kk | Collision sensor |
| CN1756681A (en) * | 2003-03-03 | 2006-04-05 | 西门子公司 | Method and device for recognizing a collision |
| CN101267966A (en) * | 2005-05-27 | 2008-09-17 | 西门子威迪欧汽车电子股份公司 | Device and method for controlling a passenger protection system of a motor vehicle |
| CN101968696A (en) * | 2009-07-27 | 2011-02-09 | 索尼公司 | Sensing a type of action used to operate a touch panel |
| CN104160364A (en) * | 2011-10-18 | 2014-11-19 | 卡内基梅隆大学 | Method and apparatus for classifying touch events on a touch sensitive surface |
| CN104228672A (en) * | 2013-06-10 | 2014-12-24 | 现代自动车株式会社 | Apparatus of sensing minor collision of vehicle and method thereof |
| CN105431799A (en) * | 2013-08-02 | 2016-03-23 | 齐科斯欧公司 | Capture of vibro-acoustic data used to determine touch types |
| CN103839047A (en) * | 2013-12-30 | 2014-06-04 | 华为技术有限公司 | Human motion track recognition method and device |
| CN107848478A (en) * | 2015-07-10 | 2018-03-27 | 宝马股份公司 | The automatic identification of low speed collision and assessment |
| CN107346193A (en) * | 2017-06-21 | 2017-11-14 | 深圳传音通讯有限公司 | Prevent the method and device of false touch screen |
| CN109677352A (en) * | 2017-10-19 | 2019-04-26 | 福特全球技术公司 | Classified based on non-contact event of the bound control module accelerometer to vehicle periphery |
| CN110162193A (en) * | 2018-02-12 | 2019-08-23 | 北京钛方科技有限责任公司 | A kind of touching positioning device and method |
| CN110316131A (en) * | 2018-03-30 | 2019-10-11 | 北京钛方科技有限责任公司 | Vehicle collision means of defence and device |
| CN208622075U (en) * | 2018-07-09 | 2019-03-19 | 北京钛方科技有限责任公司 | Touch panel anti-error-touch device |
Non-Patent Citations (1)
| Title |
|---|
| 田野: "《突发地质灾害应急防治概论》", 31 May 2018 * |
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