WO2017031841A1 - 触摸压力检测装置和方法 - Google Patents

触摸压力检测装置和方法 Download PDF

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Publication number
WO2017031841A1
WO2017031841A1 PCT/CN2015/094641 CN2015094641W WO2017031841A1 WO 2017031841 A1 WO2017031841 A1 WO 2017031841A1 CN 2015094641 W CN2015094641 W CN 2015094641W WO 2017031841 A1 WO2017031841 A1 WO 2017031841A1
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WO
WIPO (PCT)
Prior art keywords
touch pressure
body part
information data
texture information
touch
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PCT/CN2015/094641
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English (en)
French (fr)
Inventor
武丹
邓耿淳
叶金春
陈伟文
Original Assignee
深圳市汇顶科技股份有限公司
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Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to KR1020177031404A priority Critical patent/KR102018060B1/ko
Priority to EP15902110.4A priority patent/EP3273329A4/en
Publication of WO2017031841A1 publication Critical patent/WO2017031841A1/zh
Priority to US15/730,661 priority patent/US10452889B2/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0414—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means using force sensing means to determine a position
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0416—Control or interface arrangements specially adapted for digitisers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1347—Preprocessing; Feature extraction
    • G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G06V40/1376—Matching features related to ridge properties or fingerprint texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/041—Indexing scheme relating to G06F3/041 - G06F3/045
    • G06F2203/04105—Pressure sensors for measuring the pressure or force exerted on the touch surface without providing the touch position

Definitions

  • the present invention relates to the field of pressure detection technology, and in particular to a touch pressure detecting device and method.
  • the existing touch pressure detecting device mainly adopts a varistor type detecting scheme, and the principle is: a varistor pressure sensor is installed under the target detecting panel, and when the panel is pressed, the panel has a slight stroke with the pressing force, thereby The resistance of the varistor mounted under it changes, and the touch pressure is quantified according to the magnitude of the resistance change.
  • the aforementioned detection scheme has the following problems:
  • This sensor requires a small stroke to detect pressure changes and requires a very flat mounting under the panel. This method of implementation is very difficult.
  • the existing touch pressure detection scheme has the problems of complicated structure, assembly, high cost, low detection sensitivity, large volume, and the like, and is not easy to implement on a mobile terminal.
  • the main object of the present invention is to provide a touch pressure detecting device and method, which aim to solve the problems that the prior touch pressure detecting device has a complicated structure, high cost, large size, and difficulty in realizing on a mobile terminal.
  • the present invention provides a touch pressure detecting device including a fingerprint sensor module and a touch pressure calculation module, the fingerprint sensor module including a plurality of sensing units, wherein:
  • the fingerprint sensor module is configured to collect, by using the plurality of sensing units, texture information data that touches a body part of the fingerprint sensor module;
  • the touch pressure calculation module is configured to calculate a touch pressure of the body part according to the collected texture information data.
  • the invention also proposes a touch pressure detecting method, which comprises the following steps:
  • the touch pressure of the body part is calculated based on the collected texture information data.
  • the touch pressure detecting device uses the fingerprint sensor module to collect texture information data when a body part makes a touch action, and obtains an average value of a touch area, a ridge deformation degree or texture information data according to the texture information data, and then according to the The touch area, the degree of ridge deformation, or the average of the texture information data to quantify the touch pressure of the body part enables the use of a fingerprint sensor of the prior art to detect the touch pressure.
  • the touch pressure detecting scheme of the invention no additional physical hardware and structure or assembly design are needed, and there is basically no additional cost overhead, and in the case where the fingerprint recognition of the mobile terminal is more and more popular, it is easy to popularize the application.
  • the touch pressure detecting device of the present invention has high detection sensitivity, simple structure, low cost, and small volume.
  • FIG. 1 is a schematic structural view of a touch pressure detecting device applied to a mobile phone according to an embodiment of the present invention
  • FIG. 2 is a schematic block diagram of a touch pressure detecting device according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a fingerprint sensor module according to an embodiment of the present invention.
  • FIG. 4 is a schematic view showing the arrangement of the sensing unit in the embodiment of the present invention.
  • Figure 5 is a block diagram showing a first embodiment of the touch pressure detecting device of the present invention.
  • FIG. 6 is a schematic diagram showing changes in touch area as a function of touch pressure in an embodiment of the present invention.
  • Figure 7 is a block diagram showing a second embodiment of the touch pressure detecting device of the present invention.
  • FIG. 8 is a schematic diagram showing changes in a grain direction data change curve as a function of a touch pressure in an embodiment of the present invention.
  • Figure 9 is a block diagram showing a third embodiment of the touch pressure detecting device of the present invention.
  • FIG. 10 is a schematic diagram showing functions of texture information data values and touch pressure levels in an embodiment of the present invention.
  • Figure 11 is a flow chart showing a first embodiment of the touch pressure detecting method of the present invention.
  • Figure 12 is a flow chart showing a second embodiment of the touch pressure detecting method of the present invention.
  • Figure 13 is a flow chart showing a third embodiment of the touch pressure detecting method of the present invention.
  • the invention provides a technical solution for detecting a touch pressure (such as a finger pressing force) by using a fingerprint sensor.
  • the fingerprint sensor of the present invention comprises a capacitive sensor, an inductive type, a varistor type, an ultrasonic type and the like.
  • the touch pressure detecting device and method of the present invention can be applied to various electronic devices, for example, to mobile terminals such as mobile phones and tablet computers.
  • the touch pressure detecting device 100 of the present invention is applied to an example of a mobile phone 10, wherein the touch pressure detecting device 100 is disposed at a position of a Home button 11 of a mobile phone.
  • the touch pressure detecting device 100 can also be set to other locations according to actual needs.
  • the touch pressure detecting device 100 includes a fingerprint sensor module 110 and a touch pressure calculation module 120 .
  • the fingerprint sensor module 110 includes a plurality of sensing units, and the texture information data of the body part of the touch fingerprint sensor module 110 is collected by the plurality of sensing units.
  • the touch pressure calculation module 120 is configured to calculate the touch of the body part according to the collected texture information data. pressure.
  • the body part according to the present invention generally refers to a finger, and the texture information is fingerprint information at this time, and of course, the user does not use other parts of the body to touch the fingerprint sensor module 110.
  • the fingerprint sensor module 110 includes a cover 111 (Cover), a fingerprint sensor chip 112, and a sensing unit 113 (Pixel).
  • the cover plate 111 is for the body part 20 (such as a finger) to touch, and its main function is to protect the fingerprint sensor chip 112 and the sensing unit 113, which may also be omitted in some embodiments.
  • the cover plate 111 and the fingerprint sensor chip 112 are fixed together by the adhesive 114; the fingerprint sensor chip 112 has a plurality of sensing units 113, preferably arranged in a matrix form (as shown in FIG. 4), and the sensing unit 113 functions as a sensing The depth of the texture of the body part 20 above it.
  • the matrix composed of the depth information of the texture output by all the sensing units 113 is the texture information of the body part 20.
  • the fingerprint sensor module 110 collects the texture information data, specifically: the fingerprint sensor module 110 passes The plurality of sensing units 113 collect a frame of no-load data without the body part 20 touch, and use the no-load data as the reference data; when the body part 20 touches the fingerprint sensor module 110, the frame sensing data is collected by the plurality of sensing units 113; The difference between the sensing data collected by each sensing unit 113 and the reference data is calculated, and the difference is used as the texture information data of the body part 20.
  • the touch pressure of the body part 20 is different, the degree of contact between the body part 20 and the fingerprint sensor module 110 is different, and the fingerprint information data collected by the sensing unit 113 will change accordingly, mainly as follows: 1) The greater the touch pressure of the body part 20 The contact area of the body part 20 with the fingerprint sensor module 110 is larger; 2) the touch pressure of the body part 20 is increased, and the texture ridge lines (such as the fingerprint ridge line) are pressed and deformed close to each other, and the touch pressure is larger, and the deformation is more Severe; 3) The greater the touch pressure of the body part 20, the larger the data output by the sensing unit 113.
  • the touch pressure detecting scheme proposed by the present invention utilizes the influence of the touch pressure of the body part 20 on the texture information data to detect the touch pressure, and can increase the touch pressure detection in the existing fingerprint identification scheme without additional physical hardware and structure or assembly. design.
  • the device 100 includes a fingerprint sensor module 110 and a touch pressure calculation module 120, wherein:
  • the fingerprint sensor module 110 includes a plurality of sensing units, and the texture information data of the body part of the touch fingerprint sensor module is collected by the plurality of sensing units.
  • the fingerprint sensor module 110 collects one frame of no-load data touched by the body part 20 through the plurality of sensing units 113, and uses the no-load data as reference data; when the body part 20 touches the fingerprint sensor module 110, passes through multiple sensing units. 113: Acquiring one frame of sensing data; calculating a difference between the sensing data collected by each sensing unit 113 and the reference data, and using the difference as the texture information data of the body part.
  • the touch pressure calculation module 120 is configured to calculate the touch pressure of the body part 20 according to the collected texture information data.
  • the greater the touch pressure the larger the area contacting the fingerprint sensor module 110.
  • the area of the contact fingerprint sensor module 110 gradually increases, wherein the black sensing unit 113 indicates that it is touched by the body part 20, and the white sensing unit 113 indicates that it is not The body part 20 is touched.
  • touch pressure calculation module 120 of the embodiment of the present invention quantifies the touch pressure according to the area of the fingerprint sensor module 110 touched by the body part 20. Specifically, as shown in Figure 5, touch The touch pressure calculation module 120 includes:
  • the touch area calculation unit 121 is configured to calculate the touch area of the body part 20 touching the fingerprint sensor module 110 according to the collected texture information data.
  • the touch area calculation unit 121 counts the number of the sensing units 113 whose collected texture information data is greater than the threshold, and measures the touch area by the number of the statistical sensing units 113.
  • the touch pressure quanting unit 122 is configured to quantify the touch pressure of the body part 20 according to the touch area, wherein the touch area is positively correlated with the touch pressure, that is, the touch area is larger, the touch pressure is larger; the smaller the touch area is, the smaller the touch pressure is.
  • the touch pressure quantization unit 122 quantifies the touch pressure according to the following formula:
  • F represents the touch pressure
  • S represents the touch area of the body part 20 touching the fingerprint sensor module 110
  • S 0 represents the total area of the fingerprint sensor module 110 (ie, the area of all the sensing units 113)
  • N is the touch pressure quantization level.
  • the touch pressure detection scheme of the embodiment requires the fingerprint sensor module 110 to cover the complete texture area of the body part 20. When the total area of the fingerprint sensor module 110 is large, the detection effect is good.
  • the specific process of the touch pressure detecting apparatus 100 of the embodiment of the present invention for detecting the touch pressure is:
  • each sensing unit 113 is used as a reference for judging whether the sensing unit has a finger touch, and the i-th row and the j-th column sensing unit are recorded.
  • the reference value of 113 is b i,j , and the touch judgment threshold is set to Thre.
  • x i,j is the sensing data of the output of the i-th row and j-th column sensing unit 113
  • the difference between x i,j and b i,j is the texture information data collected by the sensing unit 113
  • H and W are the number of rows and columns of the matrix of the sensing unit 113, respectively, and N is a finger pressing force quantization level.
  • the device 100 includes a fingerprint sensor module 110 and a touch pressure calculation module 120, wherein:
  • the fingerprint sensor module 110 includes a plurality of sensing units 113, and the texture information data of the body part 20 of the touch fingerprint sensor module 110 is collected by the plurality of sensing units 113.
  • the fingerprint sensor module 110 collects one frame of no-load data touched by the body part 20 through the plurality of sensing units 113, and uses the no-load data as reference data; when the body part 20 touches the fingerprint sensor module 110, passes through multiple sensing units. 113: Acquiring one frame of sensing data; calculating a difference between the sensing data collected by each sensing unit 113 and the reference data, and using the difference as the texture information data of the body part 20.
  • the touch pressure calculation module 122 is configured to calculate the touch pressure of the body part 20 according to the collected texture information data.
  • the size of the fingerprint information data collected by the sensing unit 113 can reflect the depth of the texture.
  • the texture ridge such as the convex portion of the fingerprint
  • the corresponding sensing The unit 113 collects a maximum data value
  • the valley of the texture such as the concave portion of the fingerprint
  • the ridge line of the texture is completely in contact with the fingerprint sensor module 110, and the valley line is completely out of contact with the fingerprint sensor module 110, and the valley line and the ridge line alternate direction (hereinafter referred to as "grain direction”.
  • the data change will be a sinusoidal curve, as shown in Figure 8 (for the sake of convenience, it is reduced to an ideal sinusoid).
  • the touch pressure of the body part 20 increases, the ridges are squeezed and deformed close to each other.
  • the total contact portion of the texture sensor module 110 increases, the number of sensing units 113 that output the maximum value increases, and the peak of the texture direction change curve becomes a flat surface.
  • the greater the touch pressure the more pronounced this deformation is, as shown by 31-34 in Fig. 8, as the line direction data of the body part 20 changes as the touch pressure increases.
  • the touch pressure calculation module 120 of the embodiment of the present invention quantifies the touch pressure of the body part 20 according to the degree of ridge deformation. Specifically, as shown in FIG. 7, the touch pressure calculation module 120 includes:
  • the deformation degree calculation unit 123 is configured to calculate the degree of ridge deformation of the texture of the body part 20 based on the collected texture information data.
  • the deformation degree calculation unit 123 may calculate the degree of ridge deformation by calculating the variance of the texture information data, the width ratio of the valley line of the texture and the ridge line, the amount of change in the grain direction gradient, and the curve fitting to the grain direction, and may also utilize The evaluation parameters of at least two of the foregoing methods are considered comprehensively.
  • the deformation degree calculation unit 123 calculates the variance of the collected texture information data, and uses the variance to measure the degree of ridge deformation, wherein the variance is inversely related to the degree of ridge deformation, that is, the larger the variance, the smaller the degree of ridge deformation; the more variance Small, the greater the degree of ridge deformation.
  • the deformation degree calculation unit 123 calculates the width ratio of the ridge line and the valley line in the texture information collected this time according to the collected texture information data, and measures the degree of ridge line deformation by using the width ratio of the ridge line and the valley line, wherein the ridge line
  • the ratio of the width to the valley line is positively correlated with the degree of ridge deformation, that is, the greater the ratio of the width of the ridge line to the valley line, the greater the degree of ridge line deformation; the smaller the ratio of the width of the ridge line to the valley line, the more the ridge line is deformed. small.
  • the proportion of the ridge line in the texture information collected this time may be calculated according to the collected texture information data, and the ratio of the width of the ridge line to the valley line is measured by the proportion of the ridge line.
  • the touch pressure quanting unit 122 is configured to quantify the touch pressure of the body part 20 according to the degree of ridge deformation, wherein the degree of ridge deformation is positively correlated with the touch pressure, that is, the greater the degree of ridge deformation, the greater the touch pressure; the degree of ridge deformation The smaller the touch, the lower the touch pressure.
  • the quantization formula of the touch pressure is:
  • F represents the touch pressure
  • ⁇ 2 represents the variance
  • ⁇ 1 represents the pressure level interval, which can be adjusted according to the number of pressure levels that need to be quantified.
  • the quantization formula of the touch pressure is:
  • F represents the touch pressure
  • Num represents the number of sensing units that collect ridge data
  • M represents the total number of sensing units. It represents the proportion of the ridge line in the texture information
  • N represents the quantization level of the touch pressure.
  • the touch pressure detecting device 100 of the present embodiment is applicable to the fingerprint sensor modules 110 of different sizes.
  • the specific process of the touch pressure detecting apparatus 100 of the embodiment of the present invention for detecting the touch pressure is:
  • the judgment of the fingerprint ridge deformation can be calculated by calculating the variance of the fingerprint information data, the width ratio of the fingerprint valley line to the ridge line, the gradient change of the fingerprint grain direction, and the curve fitting of the fingerprint grain direction.
  • H and W are the number of rows and columns of the matrix of the sensing unit, respectively.
  • K is greater than the collected fingerprint information data.
  • D k is greater than the kth The fingerprint information data value collected by the sensing unit. The greater the finger pressing force, the greater the degree of compression of the finger skin, the smoother the fingerprint ridge line, and the smaller the value of the variance ⁇ 2 .
  • the touch pressure can be quantified as follows:
  • ⁇ 1 is the pressure level interval, which can be adjusted according to the number of pressure levels that need to be quantified.
  • the following is a method for describing the degree of deformation of the fingerprint ridge by using the ratio of the width of the fingerprint valley line to the width of the ridge line:
  • C i,j 1 indicates that the sensing unit 113 corresponds to the fingerprint ridge line
  • C i,j 0 indicates that the sensing unit 113 corresponds to the fingerprint valley line.
  • the ratio of the width of the fingerprint valley line to the ridge line is calculated.
  • the ratio of the ridge line to the frame data is represented here.
  • H and W are the number of rows and columns of the matrix of the sensing unit
  • N is the finger pressing force quantization level.
  • the device 100 includes a fingerprint sensor module 110 and a touch pressure calculation module 120, wherein:
  • the fingerprint sensor module 110 includes a plurality of sensing units 113, and the texture information data of the body part 20 of the touch fingerprint sensor module 110 is collected by the plurality of sensing units 113.
  • the fingerprint sensor module 110 collects one frame of no-load data touched by the body part 20 through the plurality of sensing units 113, and uses the no-load data as reference data; when the body part 20 touches the fingerprint sensor module 110, passes through multiple sensing units. 113: Acquiring one frame of sensing data; calculating a difference between the sensing data collected by each sensing unit 113 and the reference data, and using the difference as the texture information data of the body part 20.
  • the touch pressure calculation module 120 is configured to calculate the touch pressure of the body part 20 according to the collected texture information data.
  • the distance between the body part 20 and the fingerprint sensor module 110 is large.
  • the fingerprint information data collected by each sensing unit 113 is small; when the touch pressure is increased, the skin of the body part 20 is squeezed, and the body part 20 is more fully contacted with the fingerprint sensor module 110, and the body part 20 and the fingerprint sensor module 110 are The distance between the sensing units 113 is increased, and the size of the fingerprint information data collected by the sensing unit 113 is positively correlated with the touch pressure. As shown in FIG. 10, the size of the fingerprint information data collected by the fingerprint sensor module 110 under different touch pressures is changed.
  • the touch pressure calculation module 120 of the embodiment of the present invention quantizes the touch pressure according to the average value of the currently collected texture information data. Specifically, as shown in FIG. 9, the touch pressure calculation module 120 includes:
  • Mean calculation unit 124 used to calculate the average value of the currently acquired texture information data.
  • the touch pressure quanting unit 122 is configured to quantize the touch pressure of the body part 20 according to the average value of the texture information data, wherein the average value of the texture information data is positively correlated with the touch pressure, that is, the larger the average value, the greater the touch pressure; The smaller the touch, the lower the touch pressure.
  • the touch pressure quantization unit 122 quantifies the touch pressure according to the following formula:
  • F is the touch pressure
  • It represents the average value of the currently collected fingerprint information data
  • ⁇ 2 represents the pressure level interval, which can be adjusted according to the number of pressure levels that need to be quantified (as shown in FIG. 10).
  • the touch pressure detecting device 100 of the present embodiment is applicable to the fingerprint sensor modules 110 of different sizes, and the data variation range is large, and the detection precision is more sensitive.
  • the specific process of the touch pressure detecting apparatus 100 of the embodiment of the present invention for detecting the touch pressure is:
  • H and W are the number of rows and columns of the matrix of the sensing unit 113, respectively, and ⁇ 2 is a pressure level interval, which can be adjusted according to the number of pressure levels to be quantized.
  • the touch pressure detecting device 100 of the present invention uses the fingerprint sensor module 110 to collect texture information data when the body part 20 makes a touch action, and obtains an average value of the touch area, the ridge deformation degree or the texture information data according to the texture information data, and then according to the touch.
  • the area, the degree of ridge deformation, or the average of the texture information data to quantify the touch pressure of the body part 20 enables the use of a fingerprint sensor of the prior art to detect the touch pressure.
  • the touch pressure detecting scheme of the invention no additional physical hardware and structure or assembly design are needed, and there is basically no additional cost overhead, and in the case where the fingerprint recognition of the mobile terminal is more and more popular, it is easy to popularize the application.
  • the touch pressure detecting device of the present invention has high detection sensitivity, simple structure, low cost, and small volume.
  • the touch pressure detecting device of the present invention is applied to an electronic device such as a mobile terminal, so that the fingerprint sensor can detect the touch pressure (such as the finger pressing force) while providing security, so that the operating function of the device can be enriched according to the pressing force.
  • the fingerprint sensor can detect the touch pressure (such as the finger pressing force) while providing security, so that the operating function of the device can be enriched according to the pressing force.
  • a more convenient way to interact For example, when a user listens to music or views a map using a smart phone, the user can press the force with a finger to zoom in or out of the volume or image.
  • the present invention also provides a touch pressure detecting method.
  • the general inventive concept of the method is: collecting texture information data of a body part of the touch fingerprint sensor module by using multiple sensing units; and calculating touch pressure of the body part according to the collected texture information data.
  • the touch pressure of the body part can be quantified according to the touch area of the body part touching the fingerprint sensor module, the degree of ridge deformation of the texture of the body part, or the average value of the currently collected texture information data.
  • a first embodiment of a touch pressure detecting method of the present invention is proposed.
  • the method includes the following steps:
  • a plurality of sensing units collect one frame of no-load data with no body part touch, and the no-load data is used as reference data; when the body part touches the fingerprint sensor module, one frame of sensing data is collected by using multiple sensing units; The difference between the sensing data collected by the sensing unit and the reference data is used as the texture information data of the body part.
  • the number of sensing units in which the collected texture information data is greater than the threshold is counted, and the touch area is measured by the number of statistical sensing units.
  • the texture information data collected by each sensing unit is compared with a threshold to determine whether it is greater than a threshold.
  • the touch area is positively correlated with the touch pressure, that is, the larger the touch area is, the larger the touch pressure is; the smaller the touch area is, the smaller the touch pressure is.
  • the touch pressure can be quantified according to the following formula:
  • F touch pressure
  • S represents the touch area of the body part touch fingerprint sensor module
  • S 0 represents the total area of the fingerprint sensor module (ie, the area of all sensing units)
  • N is the touch pressure quantization level.
  • the touch pressure detection scheme of the embodiment requires the sensor module to cover a complete texture area of the body part. When the total area of the sensor module is large, the detection effect is good.
  • the method includes the following steps:
  • S21 Collect texture information data of a body part of the touch fingerprint sensor module by using multiple sensing units.
  • a plurality of sensing units collect one frame of no-load data with no body part touch, and the no-load data is used as reference data; when the body part touches the fingerprint sensor module, one frame of sensing data is collected by using multiple sensing units; The difference between the sensing data collected by the sensing unit and the reference data is used as the texture information data of the body part.
  • the degree of ridge deformation can be calculated by calculating the variance of the texture information data, the width ratio of the valley line of the texture and the width of the ridge line, the variation of the gradient of the grain direction, and the curve fitting of the grain direction, and the foregoing method can also be used.
  • the evaluation parameters of at least two of the methods are considered comprehensively.
  • the deformation degree calculation unit calculates the variance of the collected texture information data, and uses the variance
  • the degree of ridge deformation is measured, and the variance is inversely related to the degree of ridge deformation, that is, the larger the variance, the smaller the degree of ridge deformation; the smaller the variance, the greater the degree of ridge deformation.
  • the deformation degree calculation unit calculates the width ratio of the ridge line and the valley line in the texture information collected in this time according to the collected texture information data, and measures the degree of ridge line deformation by using the width ratio of the ridge line and the valley line, wherein the ridge line and the ridge line are
  • the width ratio of the valley line is positively correlated with the degree of ridge deformation, that is, the greater the ratio of the width of the ridge line to the valley line, the greater the degree of ridge line deformation; the smaller the ratio of the width of the ridge line to the valley line, the smaller the degree of ridge line deformation.
  • the proportion of the ridge line in the texture information collected this time may be calculated according to the collected texture information data, and the ratio of the width of the ridge line to the valley line is measured by the proportion of the ridge line.
  • the quantization formula of the touch pressure is:
  • F represents the touch pressure
  • ⁇ 2 represents the variance
  • ⁇ 1 represents the pressure level interval, which can be adjusted according to the number of pressure levels that need to be quantified.
  • the quantization formula of the touch pressure is:
  • F represents the touch pressure
  • Num represents the number of sensing units that collect ridge data
  • M represents the total number of sensing units. It represents the proportion of the ridge line in the texture information
  • N represents the quantization level of the touch pressure.
  • the touch pressure detecting method of the present embodiment is applicable to fingerprint sensor modules of different sizes.
  • a third embodiment of the touch pressure detecting method of the present invention is proposed, and the method includes the following steps:
  • S31 Collect texture information data of a body part of the touch fingerprint sensor module by using multiple sensing units.
  • a plurality of sensing units collect one frame of no-load data with no body part touch, and the no-load data is used as reference data; when the body part touches the fingerprint sensor module, one frame of sensing data is collected by using multiple sensing units; The difference between the sensing data collected by the sensing unit and the reference data is used as the texture information data of the body part.
  • the touch pressure quantization unit quantifies the touch pressure according to the following formula:
  • F is the touch pressure
  • It represents the average value of the currently collected fingerprint information data
  • ⁇ 2 represents the pressure level interval, which can be adjusted according to the number of pressure levels that need to be quantified.
  • the touch pressure detecting method of the present invention uses the fingerprint sensor module to detect texture information data when a body part makes a touch action, and obtains an average value of a touch area, a ridge deformation degree or texture information data according to the texture information data, and then according to the touch area and the ridge.
  • the degree of linear deformation or the average of the texture information data to quantify the touch pressure of the body part enables the detection of the touch pressure using the fingerprint sensor of the prior art.
  • the touch pressure detecting method of the invention no additional physical hardware and structure or assembly design are needed, and there is basically no additional cost overhead, and in the case that the fingerprint recognition of the mobile terminal is more and more popular, it is easy to popularize the application.
  • the touch pressure detecting method of the present invention has high detection sensitivity, simple structure, low cost, and small volume.
  • touch pressure detecting method provided in the above embodiment is the same as the touch pressure detecting device embodiment, and the technical features in the device embodiment are applicable in the method embodiments, and details are not described herein again.

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Abstract

本发明公开了一种触摸压力检测装置和方法，所述装置包括指纹传感器模块和触摸压力计算模块，指纹传感器模块包括多个感应单元，其中：指纹传感器模块，用于通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据；触摸压力计算模块，用于根据采集到的纹理信息数据计算身体部位的触摸压力。从而，实现了利用现有技术中的指纹传感器来检测触摸压力。采用本发明的触摸压力检测方案，无需额外的物理硬件及结构或组装设计，基本无额外的成本开销，在移动终端的指纹识别越来越普及的情况下，易于普及应用。相对于现有技术中的触摸压力检测方法，本发明的触摸压力检测装置检测灵敏度高、实现结构简单、成本低、体积小。

Description

触摸压力检测装置和方法 技术领域
本发明涉及压力检测技术领域，尤其是涉及一种触摸压力检测装置和方法。
背景技术
目前，市场上少有能够检测触摸压力(如手指按压力度)的产品，特别是易于在诸如手机等移动终端上实现触摸压力检测的产品。现有的触摸压力检测装置主要采用压敏电阻式检测方案，其原理为：在目标检测面板下方，安装压敏电阻压力传感器，当按压面板时，面板会随着按压力度有微小的行程，从而导致安装在其下方的压敏电阻阻值发生变化，根据阻值变化大小量化触摸压力。
前述检测方案存在以下问题：
1.实现结构难：这种传感器需要微小的行程来检测压力变化，需要非常平整的安装在面板下方，这种结构实现方法非常困难。
2、容易受到设备放置方式影响：假如这个压力检测装置安装在手机上，那么当手机面板相对重心线角度变化时，由于面板的重力影响，会带来测量误差。
3、成本高：传感器的成本和结构成本会导致最终方案成本较高。
综上所述，现有的触摸压力检测方案具有结构和组装复杂、成本高、检测灵敏度低、体积大等问题，不容易在移动终端上实现。
发明内容
本发明的主要目的在于提供一种触摸压力检测装置和方法，旨在解决现有的触摸压力检测装置结构复杂、成本高、体积大以及不易在移动终端上实现的问题。
为达以上目的，本发明提出一种触摸压力检测装置，包括指纹传感器模块和触摸压力计算模块，所述指纹传感器模块包括多个感应单元，其中：
所述指纹传感器模块，用于通过所述多个感应单元采集触摸所述指纹传感器模块的身体部位的纹理信息数据；
所述触摸压力计算模块，用于根据采集到的所述纹理信息数据计算所述身体部位的触摸压力。
本发明同时提出一种触摸压力检测方法，包括以下步骤：
通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据；
根据采集到的所述纹理信息数据计算所述身体部位的触摸压力。
本发明所提供的一种触摸压力检测装置，利用指纹传感器模块采集身体部位作出触摸动作时的纹理信息数据，根据纹理信息数据获取触摸面积、脊线形变程度或纹理信息数据的平均值，再根据触摸面积、脊线形变程度或纹理信息数据的平均值来量化身体部位的触摸压力，实现了利用现有技术中的指纹传感器来检测触摸压力。采用本发明的触摸压力检测方案，无需额外的物理硬件及结构或组装设计，基本无额外的成本开销，在移动终端的指纹识别越来越普及的情况下，易于普及应用。相对于现有技术中的触摸压力检测方法，本发明的触摸压力检测装置检测灵敏度高、实现结构简单、成本低、体积小。
附图说明
图1是本发明实施例的触摸压力检测装置应用于手机的结构示意图；
图2是本发明实施例的触摸压力检测装置的模块示意图；
图3是本发明实施例中指纹传感器模块的结构示意图；
图4是本发明实施例中感应单元的排布示意图；
图5是本发明的触摸压力检测装置第一实施例模块示意图；
图6是本发明实施例中触摸面积随着触摸压力的变化而变化的示意图；
图7是本发明的触摸压力检测装置第二实施例模块示意图；
图8是本发明实施例中纹路方向数据变化曲线随着触摸压力的变化而变化的示意图；
图9是本发明的触摸压力检测装置第三实施例模块示意图；
图10是本发明实施例中纹理信息数据值与触摸压力等级的函数示意图；
图11是本发明的触摸压力检测方法第一实施例的流程图；
图12是本发明的触摸压力检测方法第二实施例的流程图；
图13是本发明的触摸压力检测方法第三实施例的流程图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明提出一种利用指纹传感器来检测触摸压力(如手指按压力度)的技术方案，本发明所述的指纹传感器包括电容式、电感式、压敏电阻式、超声波式等指纹传感器。本发明的触摸压力检测装置和方法可以应用于各种电子设备，例如可应用于手机、平板电脑等移动终端。
如图1所示，为本发明的触摸压力检测装置100应用于手机10的示例，其中，触摸压力检测装置100设置于手机的Home键11位置。当然，也可以根据实际需要设置于其它位置。
如图2所示，为本发明的触摸压力检测装置的模块示意图，所述触摸压力检测装置100包括指纹传感器模块110和触摸压力计算模块120。其中，指纹传感器模块110包括多个感应单元，通过多个感应单元采集触摸指纹传感器模块110的身体部位的纹理信息数据；触摸压力计算模块120用于根据采集到的纹理信息数据计算身体部位的触摸压力。本发明所述的身体部位通常指手指，此时纹理信息则为指纹信息，当然也不排除用户使用身体的其它部位来触摸指纹传感器模块110。
如图3所示，指纹传感器模块110包括盖板111(Cover)、指纹传感器芯片112和感应单元113(Pixel)。盖板111供身体部位20(如手指)触摸，其主要作用是保护指纹传感器芯片112和感应单元113，在某些实施例中也可以省略。盖板111与指纹传感器芯片112通过粘合剂114固定在一起；指纹传感器芯片112上具有多个感应单元113，优选排布呈矩阵形式(如图4所示)，感应单元113的作用是感应其上方的身体部位20的纹理的深度。当身体部位20触摸指纹传感器模块110的盖板111时，所有感应单元113输出的纹理的深度信息组成的矩阵就是该身体部位20的纹理信息。
指纹传感器模块110采集纹理信息数据具体为：指纹传感器模块110通 过多个感应单元113采集一帧无身体部位20触摸的空载数据，将空载数据作为基准数据；当身体部位20触摸指纹传感器模块110时，通过多个感应单元113采集一帧感应数据；计算每个感应单元113采集到的感应数据与基准数据的差值，将差值作为身体部位20的纹理信息数据。
身体部位20的触摸压力不同，身体部位20与指纹传感器模块110的接触程度不同，感应单元113采集到的指纹信息数据将随之变化，主要表现在：1)、身体部位20的触摸压力越大，身体部位20与指纹传感器模块110的接触面积越大；2)、身体部位20的触摸压力增大，纹理脊线(如指纹脊线)受挤压变形互相靠近，触摸压力越大，变形越严重；3)、身体部位20的触摸压力越大，感应单元113输出的数据越大。本发明提出的触摸压力检测方案就是利用上述身体部位20的触摸压力对纹理信息数据的影响来检测触摸压力，可在现有指纹识别方案中增加触摸压力检测，无需额外的物理硬件及结构或组装设计。适用于不同材料、工艺和规格的指纹识别装置。
以下，通过具体实施例对本发明的触摸压力检测装置进行详细说明。
参见图5，提出本发明的触摸压力检测装置第一实施例，所述装置100包括指纹传感器模块110和触摸压力计算模块120，其中：
指纹传感器模块110：包括多个感应单元，通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据。
具体的，指纹传感器模块110通过多个感应单元113采集一帧无身体部位20触摸的空载数据，将空载数据作为基准数据；当身体部位20触摸指纹传感器模块110时，通过多个感应单元113采集一帧感应数据；计算每个感应单元113采集到的感应数据与基准数据的差值，将差值作为身体部位的纹理信息数据。
触摸压力计算模块120：用于根据采集到的纹理信息数据计算身体部位20的触摸压力。
当身体部位20触摸指纹传感器模块110时，触摸压力越大，则接触指纹传感器模块110的面积越大。如图6所示，随着身体部位20触摸压力逐渐增大，接触指纹传感器模块110的面积逐渐增大，其中，黑色的感应单元113表示被身体部位20触摸，白色的感应单元113表示没有被身体部位20触摸。
有鉴于此，本发明实施例的触摸压力计算模块120根据被身体部位20触摸的指纹传感器模块110的面积来量化触摸压力。具体的，如图5所示，触 摸压力计算模块120包括：
触摸面积计算单元121：用于根据采集到的纹理信息数据计算身体部位20触摸指纹传感器模块110的触摸面积。
优选地，触摸面积计算单元121统计采集到的纹理信息数据大于阈值的感应单元113的数量，利用统计的感应单元113的数量衡量触摸面积。
例如，将每个感应单元113采集到的纹理信息数据与阈值进行比较，判断是否大于阈值，当大于阈值时，则判定该感应单元113被身体部位20所触摸，统计被触摸的感应单元113的数量。假设每个感应单元113的面积为1，被触摸的感应单元113的数量为n，则触摸面积S＝1*n＝n。
触摸压力量化单元122：用于根据触摸面积量化身体部位20的触摸压力，其中触摸面积与触摸压力正相关，即：触摸面积越大，触摸压力越大；触摸面积越小，触摸压力越小。
优选地，触摸压力量化单元122根据以下公式量化触摸压力：
Figure PCTCN2015094641-appb-000001
其中，F代表触摸压力，S代表身体部位20触摸指纹传感器模块110的触摸面积，S0代表指纹传感器模块110的总面积(即所有感应单元113的面积)，N为触摸压力量化等级。
本实施例的触摸压力检测方案，要求指纹传感器模块110能够覆盖身体部位20完整的纹理区域，指纹传感器模块110的总面积较大时，检测效果较好。
举例而言，假设身体部位20为手指，感应单元113呈矩阵排布，本发明实施例的触摸压力检测装置100检测触摸压力的具体过程为：
(1)在无手指触摸时，比如设备启动时，采集一帧数据，将每个感应单元113的输出值作为判断该感应单元有无手指触摸时的基准，记第i行第j列感应单元113的基准值为bi,j，设置触摸判断阈值为Thre。
(2)对每个感应单元113，判断有无手指触摸，判断标准如下：
Figure PCTCN2015094641-appb-000002
其中，xi,j为第i行第j列感应单元113的输出的感应数据，xi,j与bi,j的差 值即感应单元113采集到的纹理信息数据，ti,j＝1表示该感应单元113有手指触摸，ti,j＝0表示该感应单元113没有手指触摸。
(3)计算手指触摸的面积，即统计有手指触摸的感应单元113的个数，记为Num(ti,j＝1)。
(4)根据手指触摸的面积，量化触摸压力，定义如下：
Figure PCTCN2015094641-appb-000003
其中，H、W分别为感应单元113矩阵的行数和列数，N为手指按压力度量化等级。
参见图7，提出本发明的触摸压力检测装置第二实施例，所述装置100包括指纹传感器模块110和触摸压力计算模块120，其中：
指纹传感器模块110：包括多个感应单元113，通过多个感应单元113采集触摸指纹传感器模块110的身体部位20的纹理信息数据。
具体的，指纹传感器模块110通过多个感应单元113采集一帧无身体部位20触摸的空载数据，将空载数据作为基准数据；当身体部位20触摸指纹传感器模块110时，通过多个感应单元113采集一帧感应数据；计算每个感应单元113采集到的感应数据与基准数据的差值，将差值作为身体部位20的纹理信息数据。
触摸压力计算模块122：用于根据采集到的纹理信息数据计算身体部位20的触摸压力。
感应单元113采集的指纹信息数据的大小能够反映纹理的深浅，当身体部位20触摸指纹传感器模块110时，由于纹理的脊(如指纹凸出的部分)离指纹传感器模块110距离最近，对应的感应单元113会采集到一个最大的数据值，而纹理的谷(如指纹凹陷的部分)离指纹传感器模块110距离较远，对应的感应单元113会采集到一个较小的数据值。
当身体部位20的触摸压力较轻时，纹理的脊线与指纹传感器模块110完全接触，而谷线与指纹传感器模块110完全不接触，在谷线及脊线交替方向(以下简称“纹路方向”)的数据变化将是一个类正弦曲线，如图8所示(为了示意方便，这里简化为一个理想的正弦曲线)，当身体部位20的触摸压力增大时，脊线受挤压变形互相靠近，纹理中与指纹传感器模块110完全接触部分增大，输出最大值的感应单元113数目增加，纹路方向变化曲线的波峰将变为一个平 面。触摸压力越大，这一变形越明显，如图8中的31-34所示为随着触摸压力增大，身体部位20的纹路方向数据变化曲线。
有鉴于此，本发明实施例的触摸压力计算模块120根据脊线形变程度来量化身体部位20的触摸压力。具体的，如图7所示，触摸压力计算模块120包括：
形变程度计算单元123：用于根据采集到的纹理信息数据计算身体部位20的纹理的脊线形变程度。形变程度计算单元123可以通过计算纹理信息数据的方差、纹理的谷线与脊线的宽度比例、纹路方向梯度变化量、对纹路方向进行曲线拟合等方法来计算脊线形变程度，也可以利用前述方法中的至少两种方法的评价参数进行综合考虑。
例如，形变程度计算单元123计算采集到的纹理信息数据的方差，利用方差衡量脊线形变程度，其中方差与脊线形变程度反相关，即：方差越大，脊线形变程度越小；方差越小，脊线形变程度越大。
又如，形变程度计算单元123根据采集到的纹理信息数据计算本次采集的纹理信息中脊线与谷线的宽度比例，利用脊线与谷线的宽度比例衡量脊线形变程度，其中脊线与谷线的宽度比例与脊线形变程度正相关，即：脊线与谷线的宽度比例越大，脊线形变程度越大；脊线与谷线的宽度比例越小，脊线形变程度越小。优选地，可以根据采集到的纹理信息数据计算本次采集的纹理信息中脊线所占的比例，利用脊线所占的比例衡量脊线与谷线的宽度比例。
触摸压力量化单元122：用于根据脊线形变程度量化身体部位20的触摸压力，其中脊线形变程度与触摸压力正相关，即：脊线形变程度越大，触摸压力越大；脊线形变程度越小，触摸压力越小。
例如，利用采集到的纹理信息数据的方差衡量脊线形变程度，则触摸压力的量化公式为：
Figure PCTCN2015094641-appb-000004
其中，F代表触摸压力，σ2代表方差，Δ1代表压力等级间隔，可根据需要量化的压力等级个数调整。
又如，利用采集的纹理信息中脊线与谷线的宽度比例来衡量脊线形变程度，则触摸压力的量化公式为：
Figure PCTCN2015094641-appb-000005
其中，F代表触摸压力，Num代表采集到脊线数据的感应单元的数量，M代表感应单元总数，
Figure PCTCN2015094641-appb-000006
则代表纹理信息中脊线所占的比例，N代表触摸压力的量化等级。
相比第一实施例，本实施例的触摸压力检测装置100适用于不同尺寸的指纹传感器模块110。
举例而言，假设身体部位20为手指，感应单元113呈矩阵排布，本发明实施例的触摸压力检测装置100检测触摸压力的具体过程为：
(1)在无手指触摸时，比如设备启动时，采集一帧数据，作为无手指触摸时的基准，记第i行第j列感应单元的基准值为bi,j。
(2)采集一帧数据，并将采样数据与基准相减，将差值作为采集到的指纹信息数据。记第i行第j列感应单元输出的数据与基准的差值为Di,j，Di,j＝xi,j-bi,j，其中，xi,j为第i行第j列感应单元输出的感应数据。
(3)计算指纹脊线形变程度，量化触摸压力。对指纹脊线形变的判断可以通过计算指纹信息数据的方差，指纹谷线与脊线的宽度比例、指纹纹路方向梯度变化量、对指纹纹路方向进行曲线拟合等方法，也可以将几种评价参数综合考虑。
比如，下面是利用方差描述指纹脊线形变程度的数学模型：
Figure PCTCN2015094641-appb-000007
Figure PCTCN2015094641-appb-000008
其中，H、W分别为感应单元矩阵的行数和列数，
Figure PCTCN2015094641-appb-000009
为当前采集的指纹信息数据的均值，K为采集到的指纹信息数据大于
Figure PCTCN2015094641-appb-000010
的感应单元的个数，Dk为第k个大于
Figure PCTCN2015094641-appb-000011
的感应单元采集到的指纹信息数据值。手指按压力度越大，手指皮肤受挤压程度越大，指纹脊线越平滑，方差σ2的值越小。
此时，触摸压力可按如下方式量化：
Figure PCTCN2015094641-appb-000012
其中，Δ1为压力等级间隔，可根据需要量化的压力等级个数调整。
又如，下面是利用指纹谷线与脊线的宽度比例描述指纹脊线形变程度的方法：
首先，根据每个感应单元113采集的指纹信息数据，判断其为指纹谷线还是脊线，判断标准如下：
Figure PCTCN2015094641-appb-000013
其中，Ci,j＝1表示该感应单元113对应指纹脊线，Ci,j＝0表示该感应单元113对应指纹谷线。
然后，计算指纹谷线与脊线的宽度比例，为了简化计算，这里用脊线占该帧数据的比例来表示。当按压力度较轻时，指纹的脊线与指纹传感器模块110完全接触，而谷线与指纹传感器模块110完全不接触，该比例约为1/2；当按压力度很大时，脊线完全连在一起时，该比例趋近于1。因此，可以用如下方法量化手指触摸压力：
Figure PCTCN2015094641-appb-000014
其中，H、W分别为感应单元矩阵的行数和列数，Num(Ci,j＝1)为对应指纹脊线的感应单元的个数，N为手指按压力度量化等级。
参见图9，提出本发明的触摸压力检测装置第三实施例，所述装置100包括指纹传感器模块110和触摸压力计算模块120，其中：
指纹传感器模块110：包括多个感应单元113，通过多个感应单元113采集触摸指纹传感器模块110的身体部位20的纹理信息数据。
具体的，指纹传感器模块110通过多个感应单元113采集一帧无身体部位20触摸的空载数据，将空载数据作为基准数据；当身体部位20触摸指纹传感器模块110时，通过多个感应单元113采集一帧感应数据；计算每个感应单元113采集到的感应数据与基准数据的差值，将差值作为身体部位20的纹理信息数据。
触摸压力计算模块120：用于根据采集到的纹理信息数据计算身体部位20的触摸压力。
当触摸压力较小时，身体部位20与指纹传感器模块110间的距离较大， 各感应单元113采集的指纹信息数据均较小；当触摸压力增大时，身体部位20的皮肤受到挤压，身体部位20与指纹传感器模块110的接触更加充分，身体部位20与指纹传感器模块110间的距离减小，各感应单元113采集的指纹信息数据均增大，感应单元113采集的指纹信息数据的大小与触摸压力呈正相关。如图10所示，为不同触摸压力下指纹传感器模块110采集的指纹信息数据的大小变化。
有鉴于此，本发明实施例的触摸压力计算模块120根据当前采集的纹理信息数据的平均值来量化触摸压力。具体的，如图9所示，触摸压力计算模块120包括：
均值计算单元124：用于计算当前采集的纹理信息数据的平均值。
触摸压力量化单元122：用于根据纹理信息数据的平均值量化身体部位20的触摸压力，其中纹理信息数据的平均值与触摸压力正相关，即：平均值越大，触摸压力越大；平均值越小，触摸压力越小。
例如，触摸压力量化单元122根据以下公式量化触摸压力：
Figure PCTCN2015094641-appb-000015
其中，F代表触摸压力，
Figure PCTCN2015094641-appb-000016
代表当前采集的指纹信息数据的平均值，Δ2代表压力等级间隔，可根据需要量化的压力等级个数进行调整(如图10所示)。
相对于前两个实施例，本实施例的触摸压力检测装置100适用于不同尺寸的指纹传感器模块110，数据变化范围大，检测精度更灵敏。
举例而言，假设身体部位20为手指，感应单元113呈矩阵排布，本发明实施例的触摸压力检测装置100检测触摸压力的具体过程为：
(1)在无手指触摸时，比如设备启动时，采集一帧数据，作为无手指触摸时的基准，记第i行第j列感应单元的基准值为bi,j。
(2)采集一帧数据，并将采样数据与基准相减，将差值作为采集到的指纹信息数据。记第i行第j列感应单元输出的数据与基准的差值为Di,j，Di,j＝xi,j-bi,j，其中，xi,j为第i行第j列感应单元输出的感应数据。
(3)根据以下公式量化压力等级：
Figure PCTCN2015094641-appb-000017
其中，H、W分别为感应单元113矩阵的行数和列数，Δ2为压力等级间隔，可根据需要量化的压力等级个数进行调整。
本发明的触摸压力检测装置100，利用指纹传感器模块110采集身体部位20作出触摸动作时的纹理信息数据，根据纹理信息数据获取触摸面积、脊线形变程度或纹理信息数据的平均值，再根据触摸面积、脊线形变程度或纹理信息数据的平均值来量化身体部位20的触摸压力，实现了利用现有技术中的指纹传感器来检测触摸压力。采用本发明的触摸压力检测方案，无需额外的物理硬件及结构或组装设计，基本无额外的成本开销，在移动终端的指纹识别越来越普及的情况下，易于普及应用。相对于现有技术中的触摸压力检测方法，本发明的触摸压力检测装置检测灵敏度高、实现结构简单、成本低、体积小。
本发明的触摸压力检测装置应用于移动终端等电子设备后，使得指纹传感器在提供安全的同时，还能够检测到触摸压力(如手指按压力度)，从而可以根据按压力度丰富设备的操作功能，带来更加便捷的交互方式。比如，用户在用智能手机收听音乐或查看地图时，可以利用手指按压力度进行音量或图像的放大或缩小。
本发明还提出一种触摸压力检测方法，该方法总的发明构思为：通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据；根据采集到的纹理信息数据计算身体部位的触摸压力。其中，可以根据身体部位触摸指纹传感器模块的触摸面积、身体部位的纹理的脊线形变程度或当前采集的纹理信息数据的平均值来量化身体部位的触摸压力。
以下，通过具体实施例进行详细说明。
参见图11，提出本发明的触摸压力检测方法第一实施例，所述方法包括以下步骤：
S11、通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据。
具体的，通过多个感应单元采集一帧无身体部位触摸的空载数据，将空载数据作为基准数据；当身体部位触摸指纹传感器模块时，通过多个感应单元采集一帧感应数据；计算每个感应单元采集到的感应数据与基准数据的差值，将差值作为身体部位的纹理信息数据。
S12、根据采集到的纹理信息数据计算身体部位触摸指纹传感器模块的触 摸面积。
优选地，统计采集到的纹理信息数据大于阈值的感应单元的数量，利用统计的感应单元的数量衡量触摸面积。
例如，将每个感应单元采集到的纹理信息数据与阈值进行比较，判断是否大于阈值，当大于阈值时，则判定该感应单元被身体部位所触摸，统计被触摸的感应单元的数量。假设每个感应单元的面积为1，被触摸的感应单元的数量为n，则触摸面积S＝1*n＝n。
S13、根据触摸面积量化身体部位的触摸压力。
触摸面积与触摸压力正相关，即：触摸面积越大，触摸压力越大；触摸面积越小，触摸压力越小。
优选地，可以根据以下公式量化触摸压力：
Figure PCTCN2015094641-appb-000018
其中，F代表触摸压力，S代表身体部位触摸指纹传感器模块的触摸面积，S0代表指纹传感器模块的总面积(即所有感应单元的面积)，N为触摸压力量化等级。
本实施例的触摸压力检测方案，要求传感器模块能够覆盖身体部位完整的纹理区域，传感器模块的总面积较大时，检测效果较好。
参见图12，提出本发明的触摸压力检测方法第二实施例，所述方法包括以下步骤：
S21、通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据。
具体的，通过多个感应单元采集一帧无身体部位触摸的空载数据，将空载数据作为基准数据；当身体部位触摸指纹传感器模块时，通过多个感应单元采集一帧感应数据；计算每个感应单元采集到的感应数据与基准数据的差值，将差值作为身体部位的纹理信息数据。
S22、根据采集到的纹理信息数据计算身体部位的纹理的脊线形变程度。
具体的，可以通过计算纹理信息数据的方差、纹理的谷线与脊线的宽度比例、纹路方向梯度变化量、对纹路方向进行曲线拟合等方法来计算脊线形变程度，也可以利用前述方法中的至少两种方法的评价参数进行综合考虑。
例如，形变程度计算单元计算采集到的纹理信息数据的方差，利用方差 衡量脊线形变程度，其中方差与脊线形变程度反相关，即：方差越大，脊线形变程度越小；方差越小，脊线形变程度越大。
又如，形变程度计算单元根据采集到的纹理信息数据计算本次采集的纹理信息中脊线与谷线的宽度比例，利用脊线与谷线的宽度比例衡量脊线形变程度，其中脊线与谷线的宽度比例与脊线形变程度正相关，即：脊线与谷线的宽度比例越大，脊线形变程度越大；脊线与谷线的宽度比例越小，脊线形变程度越小。优选地，可以根据采集到的纹理信息数据计算本次采集的纹理信息中脊线所占的比例，利用脊线所占的比例衡量脊线与谷线的宽度比例。
S23、根据脊线形变程度量化身体部位的触摸压力。
例如，利用采集到的纹理信息数据的方差衡量脊线形变程度，则触摸压力的量化公式为：
Figure PCTCN2015094641-appb-000019
其中，F代表触摸压力，σ2代表方差，Δ1代表压力等级间隔，可根据需要量化的压力等级个数调整。
又如，利用采集的纹理信息中脊线与谷线的宽度比例来衡量脊线形变程度，则触摸压力的量化公式为：
Figure PCTCN2015094641-appb-000020
其中，F代表触摸压力，Num代表采集到脊线数据的感应单元的数量，M代表感应单元总数，
Figure PCTCN2015094641-appb-000021
则代表纹理信息中脊线所占的比例，N代表触摸压力的量化等级。
相比第一实施例，本实施例的触摸压力检测方法适用于不同尺寸的指纹传感器模块。
参见图13、提出本发明的触摸压力检测方法第三实施例，所述方法包括以下步骤：
S31、通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据。
具体的，通过多个感应单元采集一帧无身体部位触摸的空载数据，将空载数据作为基准数据；当身体部位触摸指纹传感器模块时，通过多个感应单元采集一帧感应数据；计算每个感应单元采集到的感应数据与基准数据的差值，将差值作为身体部位的纹理信息数据。
S32、计算当前采集的纹理信息数据的平均值。
纹理信息数据的平均值
Figure PCTCN2015094641-appb-000022
的计算公式为：
Figure PCTCN2015094641-appb-000023
S33、根据纹理信息数据的平均值量化身体部位的触摸压力。
例如，触摸压力量化单元根据以下公式量化触摸压力：
Figure PCTCN2015094641-appb-000024
其中，F代表触摸压力，
Figure PCTCN2015094641-appb-000025
代表当前采集的指纹信息数据的平均值，Δ2代表压力等级间隔，可根据需要量化的压力等级个数进行调整。
本发明的触摸压力检测方法，利用指纹传感器模块检测身体部位作出触摸动作时的纹理信息数据，根据纹理信息数据获取触摸面积、脊线形变程度或纹理信息数据的平均值，再根据触摸面积、脊线形变程度或纹理信息数据的平均值来量化身体部位的触摸压力，实现了利用现有技术中的指纹传感器来检测触摸压力。采用本发明的触摸压力检测方法，无需额外的物理硬件及结构或组装设计，基本无额外的成本开销，在移动终端的指纹识别越来越普及的情况下，易于普及应用。相对于现有技术中的触摸压力检测方法，本发明的触摸压力检测方法检测灵敏度高、实现结构简单、成本低、体积小。
需要说明的是：上述实施例提供的触摸压力检测方法与触摸压力检测装置实施例属于同一构思，装置实施例中的技术特征在方法实施例中均对应适用，这里不再赘述。
本领域普通技术人员可以理解,实现上述实施例方法中的全部或部分步骤可以通过程序来控制相关的硬件完成，所述的程序可以存储于一计算机可读取存储介质中，所述的存储介质可以是ROM/RAM、磁盘、光盘等。
以上参照附图说明了本发明的优选实施例，并非因此局限本发明的权利范围。本领域技术人员不脱离本发明的范围和实质，可以有多种变型方案实现本发明，比如作为一个实施例的特征可用于另一实施例而得到又一实施例。凡在运用本发明的技术构思之内所作的任何修改、等同替换和改进，均应在本发明的权利范围之内。

Claims (18)

  1. 一种触摸压力检测装置，其特征在于，包括指纹传感器模块和触摸压力计算模块，所述指纹传感器模块包括多个感应单元，其中：
    所述指纹传感器模块，用于通过所述多个感应单元采集触摸所述指纹传感器模块的身体部位的纹理信息数据；
    所述触摸压力计算模块，用于根据采集到的所述纹理信息数据计算所述身体部位的触摸压力。
  2. 根据权利要求1所述的触摸压力检测装置，其特征在于，所述触摸压力计算模块包括：
    触摸面积计算单元，用于根据采集到的所述纹理信息数据计算所述身体部位触摸所述指纹传感器模块的触摸面积；
    触摸压力量化单元，用于根据所述触摸面积量化所述身体部位的触摸压力，所述触摸面积与所述触摸压力正相关。
  3. 根据权利要求2所述的触摸压力检测装置，其特征在于，所述触摸面积计算单元具体用于：统计采集到的纹理信息数据大于阈值的感应单元的数量，利用统计的所述感应单元的数量衡量所述触摸面积。
  4. 根据权利要求1所述的触摸压力检测装置，其特征在于，所述触摸压力计算模块包括：
    形变程度计算单元，用于根据采集到的所述纹理信息数据计算所述身体部位的纹理的脊线形变程度；
    触摸压力量化单元，用于根据所述脊线形变程度量化所述身体部位的触摸压力，所述脊线形变程度与所述触摸压力正相关。
  5. 根据权利要求4所述的触摸压力检测装置，其特征在于，所述形变程度计算单元具体用于：计算采集到的所述纹理信息数据的方差，利用所述方差衡量所述脊线形变程度，所述方差与所述脊线形变程度反相关。
  6. 根据权利要求4所述的触摸压力检测装置，其特征在于，所述形变程度计算单元具体用于：根据采集到的所述纹理信息数据计算本次采集的纹理信息数据中脊线与谷线的宽度比例，利用所述脊线与谷线的宽度比例衡量所述脊线形变程度，所述脊线与谷线的宽度比例与所述脊线形变程度正相关。
  7. 根据权利要求6所述的触摸压力检测装置，其特征在于，
    所述形变程度计算单元具体用于：根据采集到的所述纹理信息数据计算本次采集的纹理信息数据中脊线所占的比例，利用所述脊线所占的比例衡量所述脊线与谷线的宽度比例；
    所述触摸压力量化单元具体用于：根据公式
    Figure PCTCN2015094641-appb-100001
    量化所述触摸压力；其中，F代表所述触摸压力，Num代表采集到脊线数据的感应单元的数量，M代表所述感应单元总数，N代表所述触摸压力的量化等级。
  8. 根据权利要求1所述的触摸压力检测装置，其特征在于，所述触摸压力计算模块包括：
    均值计算单元，用于计算当前采集的所述纹理信息数据的平均值；
    触摸压力量化单元，用于根据所述纹理信息数据的平均值量化所述身体部位的触摸压力，所述纹理信息数据的平均值与所述触摸压力正相关。
  9. 根据权利要求1-8任一项所述的触摸压力检测装置，其特征在于，所述指纹传感器模块用于：
    通过所述多个感应单元采集一帧无身体部位触摸的空载数据，将所述空载数据作为基准数据；
    当所述身体部位触摸所述指纹传感器模块时，通过所述多个感应单元采集一帧感应数据；
    计算每个感应单元采集到的所述感应数据与所述基准数据的差值，将所述差值作为身体部位的纹理信息数据。
  10. 一种触摸压力检测方法，其特征在于，包括以下步骤：
    通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据；
    根据采集到的所述纹理信息数据计算所述身体部位的触摸压力。
  11. 根据权利要求10所述的触摸压力检测方法，其特征在于，所述根据采集到的所述纹理信息数据计算所述身体部位的触摸压力包括：
    根据采集到的所述纹理信息数据计算所述身体部位触摸所述指纹传感器模块的触摸面积；
    根据所述触摸面积量化所述身体部位的触摸压力；其中，所述触摸面积与所述触摸压力正相关。
  12. 根据权利要求11所述的触摸压力检测方法，其特征在于，所述计算 所述身体部位触摸所述指纹传感器模块的触摸面积包括：
    统计采集到的纹理信息数据大于阈值的感应单元的数量，利用统计的所述感应单元的数量衡量所述触摸面积。
  13. 根据权利要求10所述的触摸压力检测方法，其特征在于，所述根据采集到的所述纹理信息数据计算所述身体部位的触摸压力包括：
    根据采集到的所述纹理信息数据计算所述身体部位的纹理的脊线形变程度；
    根据所述脊线形变程度量化所述身体部位的触摸压力；其中，所述脊线形变程度与所述触摸压力正相关。
  14. 根据权利要求13所述的触摸压力检测方法，其特征在于，所述计算所述身体部位的纹理的脊线形变程度包括：
    计算采集到的所述纹理信息数据的方差，利用所述方差衡量所述脊线形变程度，所述方差与所述脊线形变程度反相关。
  15. 根据权利要求13所述的触摸压力检测方法，其特征在于，所述计算所述身体部位的纹理的脊线形变程度包括：
    根据采集到的所述纹理信息数据计算本次采集的纹理信息数据中脊线与谷线的宽度比例，利用所述脊线与谷线的宽度比例衡量所述脊线形变程度，所述脊线与谷线的宽度比例与所述脊线形变程度正相关。
  16. 根据权利要求15所述的触摸压力检测方法，其特征在于，
    所述根据采集到的所述纹理信息数据计算本次采集的纹理信息数据中脊线与谷线的宽度比例包括：
    根据采集到的所述纹理信息数据计算本次采集的纹理信息中脊线所占的比例，利用所述脊线所占的比例衡量所述脊线与谷线的宽度比例；
    所述根据所述脊线形变程度量化所述身体部位的触摸压力包括：
    根据公式
    Figure PCTCN2015094641-appb-100002
    量化所述触摸压力；其中，F代表所述触摸压力，Num代表采集到脊线数据的感应单元的数量，M代表所述感应单元总数，N代表所述触摸压力的量化等级。
  17. 根据权利要求10所述的触摸压力检测方法，其特征在于，所述根据采集到的所述纹理信息数据计算所述身体部位的触摸压力包括：
    根据采集到的所述纹理信息数据计算当前采集的所述纹理信息数据的平 均值；
    根据所述平均值量化所述身体部位的触摸压力；其中，所述平均值分别与所述触摸压力正相关。
  18. 根据权利要求10-17任一项所述的触摸压力检测方法，其特征在于，所述通过多个感应单元采集触摸指纹传感器模块的身体部位的纹理信息数据包括：
    通过所述多个感应单元采集一帧无身体部位触摸的空载数据，将所述空载数据作为基准数据；
    当所述身体部位触摸所述指纹传感器模块时，通过所述多个感应单元采集一帧感应数据；
    计算每个感应单元采集到的所述感应数据与所述基准数据的差值，将所述差值作为所述身体部位的纹理信息数据。
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