CN103207686A - Pointing stick, method and device for pointing stick information conversion, and electronic equipment - Google Patents
Pointing stick, method and device for pointing stick information conversion, and electronic equipment Download PDFInfo
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- CN103207686A CN103207686A CN201210007805XA CN201210007805A CN103207686A CN 103207686 A CN103207686 A CN 103207686A CN 201210007805X A CN201210007805X A CN 201210007805XA CN 201210007805 A CN201210007805 A CN 201210007805A CN 103207686 A CN103207686 A CN 103207686A
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Abstract
The invention provides a pointing stick, a method and device for pointing stick information conversion, and electronic equipment. The device for the pointing stick information conversion comprises an acquiring module for acquiring image information formed as a touch end face of the pointing stick is touched, a detection module for identifying and detecting the acquired image information, and a conversion module for converting a detected result into mouse input information comprising mouse coordinate information and mouse moving speed information, and further the electric equipment such as a control module in a laptop can control a mouse to move according to the mouse coordinate information and the mouse moving speed information. The device for the pointing stick information conversion disclosed by the invention avoids the accumulation of external force errors by the mouse input information acquired through utilizing an image processing technology, so the control accuracy of the mouse is improved.
Description
Technical field
The application relates to the notebook technical field, particularly a kind of TrackPoint, TrackPoint information conversion method, device and electronic equipment.
Background technology
TrackPoint is a kind of being arranged in the notebook, the device that mouse beacon moves.At present, TrackPoint commonly used in the notebook comprises: Metallic rod, be arranged on pole cap on the Metallic rod, be arranged on potsherd and the mouse button of Metallic rod below, as the TrackPoint in the thinkpad notebook, wherein Metallic rod is arranged between G, the H and three buttons of B of keyboard, and mouse button is positioned at the space bar below.
The principle of work of above-mentioned TrackPoint is, presses the user under the pressure effect of pole cap, and Metallic rod is pushed the potsherd of its below, potsherd generation deformation, thus make the potsherd resistance variations, and then produce the electric signal as mouse input information.By the circuit in the TrackPoint electric signal is analyzed again, drawn mouse moving direction and translational speed.TrackPoint further moves according to the moving direction and the translational speed mouse beacon that draw by the mouse button in it.
But existing TrackPoint need pass through this mechanical type control mode of pole cap, Metallic rod and potsherd successively, makes the potsherd resistance variations, and then produces the electric signal as mouse input information.But the increase with degree of transitivity in the mechanical type transmittance process of external force error is accumulated, thereby has reduced the mouse control precision.
Summary of the invention
In view of this, the application provides a kind of TrackPoint transcriber and method, changes existing TrackPoint mechanical type control mode.
The application also provides a kind of TrackPoint and electronic equipment, changes existing TrackPoint mechanical structure, realizes and application in order to the technology that guarantees said method.Technical scheme is as follows:
Based on the application's one side, a kind of TrackPoint transcriber is provided, comprising:
Acquisition module is used for obtaining the touch end face of described TrackPoint because being touched formed image information;
Detection module is used for the image information of obtaining is identified detection;
Modular converter is used for testing result is converted to mouse input information.
Preferably, described detection module, concrete being used for carried out the Dynamic Recognition detection to the image information of obtaining.
Preferably, the Dynamic Recognition done of described detection module detect comprise following at least a: change the motion change that is identified on the described touch end face plane according to the picture position; Identification changes perpendicular to the lengthwise movement on the described touch end face plane according to the image size variation; Form and die-out time identification number of clicks according to image; Direction according to image changes the variation of identification control angle.
Preferably, described detection module changes the motion change that is identified on the described touch end face plane according to the picture position and comprises: the location variation of at least one angle point in the image that front and back change in the detected image, calculate the amount of movement of angle point according to location variation, draw average amount of movement according to the amount of movement of angle point;
Described detection module changes perpendicular to the lengthwise movement on the described touch end face plane according to image size variation identification and comprises: obtain in the image distance measurements between at least two angle points, under the inconsistent situation of distance measurements in the image that before and after detecting, changes between wantonly one or two angle point, variable in distance amount in the image that changes before and after detecting between at least two angle points, draw the mean change amount according to described variable in distance amount, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face;
Describedly form and die-out time identification number of clicks comprises according to image: detect formation time, the die-out time of described image information on touch end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the number clicked continuously of statistics;
Described direction according to image changes identification control angle and changes and comprise: at least two angle points separately amount of movement in the image that front and back change in the detected image, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, further calculate the angle variable quantity of line in the modified-image of front and back between each angle point and the rotary middle point, draw the average angle variable quantity according to described angle variable quantity.
Preferably, described image direction changes identifying and comprises also that angle according to the image outline changes and judge whether image the direction variation takes place.
Preferably, described image information is information in fingerprint.
Preferably, when the image information of obtaining is information in fingerprint, it is at described detection module described information in fingerprint and default information in fingerprint to be carried out fingerprint recognition that the identification of described detection module detects, and carries out under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint.
Preferably, when the image information of obtaining was information in fingerprint, the identification that described detection module is done detected and comprises: described information in fingerprint and default information in fingerprint are carried out fingerprint recognition.
Preferably, when the image information of obtaining was information in fingerprint, the identification that described detection module is done detected and comprises: the grey scale change number of times that detects described information in fingerprint.
Based on the application on the other hand, provide a kind of TrackPoint, it is characterized in that, comprise touching end face and above-mentioned TrackPoint transcriber.
Preferably, described touch end face is the transparent elastic material.
Preferably, described touch end face is that silica gel touches end face.
Preferably, also comprise the transparent partition device that is arranged between described touch end face and the described acquisition module.
One side again based on the application provides a kind of electronic equipment, comprises above-mentioned TrackPoint.
One side again based on the application provides a kind of TrackPoint information conversion method, comprising:
Obtain the touch end face of described TrackPoint because being touched formed image information;
The image information of obtaining is identified detection;
Testing result is converted to mouse input information.
Preferably, the image information of obtaining being identified detection comprises: the image information of obtaining is carried out Dynamic Recognition detect.
Preferably, described to the image information of obtaining carry out Dynamic Recognition detect comprise following at least a: change the motion change that is identified on the described touch end face plane according to the picture position; Identification changes perpendicular to the lengthwise movement on the described touch end face plane according to the image size variation; Form and die-out time identification number of clicks according to image; Direction according to image changes the variation of identification control angle.
Preferably, when the image information of obtaining is information in fingerprint, the described motion change that is identified on the described touch end face plane according to the picture position variation comprises: the location variation of at least one angle point in the image that front and back change in the detected image, calculate the amount of movement of angle point according to location variation, draw average amount of movement according to the amount of movement of angle point;
The described variation perpendicular to the lengthwise movement on the described touch end face plane according to image size variation identification comprises: obtain in the image distance measurements between at least two angle points, under the inconsistent situation of distance measurements in the image that before and after detecting, changes between wantonly one or two angle point, variable in distance amount in the image that changes before and after detecting between at least two angle points, draw the mean change amount according to described variable in distance amount, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face;
Describedly form and die-out time identification number of clicks comprises according to image: detect formation time, the die-out time of described image information on touch end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the number clicked continuously of statistics;
Described direction according to image changes identification control angle and changes and comprise: at least two angle points separately amount of movement in the image that front and back change in the detected image, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, further calculate the angle variable quantity of line in the modified-image of front and back between each angle point and the rotary middle point, draw the average angle variable quantity according to described angle variable quantity.
Preferably, described image direction changes identifying and comprises also that angle according to the image outline changes and judge whether image the direction variation takes place.
Preferably, described image information is information in fingerprint.
Preferably, when the image information of obtaining is information in fingerprint, described information in fingerprint and default information in fingerprint are carried out fingerprint recognition, carry out under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint and the image information of obtaining is carried out Dynamic Recognition detect.
Preferably, when the image information of obtaining is information in fingerprint, described the image information of obtaining is identified to detect comprise: described information in fingerprint and default information in fingerprint are carried out fingerprint recognition.
Preferably, when the image information of obtaining is information in fingerprint, described the image information of obtaining is identified to detect comprise: the grey scale change number of times that detects described information in fingerprint.
In this application, provide a kind of new TrackPoint transcriber, it has changed the mechanical type control mode of existing TrackPoint.Acquisition module can obtain the touch end face of TrackPoint because being touched formed image information in the TrackPoint transcriber; By detection module the image information of obtaining is identified detection again, modular converter is converted to mouse input information with testing result.Described mouse input information can be mouse coordinates information and mouse translational speed information, and further electronic equipment can move according to mouse coordinates information and mouse translational speed information mouse beacon as the control module in the notebook.Therefore, the mouse input information that the TrackPoint transcriber that the application provides utilizes image processing techniques to obtain is avoided the external force error accumulation, thereby has been improved the mouse control precision.
Description of drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the present application, the accompanying drawing of required use is done to introduce simply in will describing embodiment below, apparently, accompanying drawing in describing below only is some embodiment of the application, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
The structural representation of the TrackPoint transcriber that Fig. 1 provides for the embodiment of the present application;
Fig. 2 is the synoptic diagram of a secondary fingerprint image;
Fig. 3 is the synoptic diagram of another width of cloth fingerprint image;
Fig. 4 is again the synoptic diagram of a width of cloth fingerprint image;
Fig. 5 is again the synoptic diagram of a width of cloth fingerprint image;
Fig. 6 is again the synoptic diagram of a width of cloth fingerprint image;
Fig. 7 is again the synoptic diagram of a width of cloth fingerprint image;
The structural representation of the TrackPoint that Fig. 8 provides for the embodiment of the present application;
The pictorial diagram of the TrackPoint that Fig. 9 provides for the embodiment of the present application;
The process flow diagram of the TrackPoint information conversion method that Figure 10 provides for the embodiment of the present application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment only is the application's part embodiment, rather than whole embodiment.Based on the embodiment among the application, those of ordinary skills are not making the every other embodiment that obtains under the creative work prerequisite, all belong to the scope of the application's protection.
An embodiment
See also Fig. 1, it shows a kind of TrackPoint transcriber that the application provides, and comprising: acquisition module 11, detection module 12 and modular converter 13.
Acquisition module 11 is used for obtaining the touch end face of described TrackPoint because being touched formed image information.Wherein, when image information can touch end face for user's finger touches, touching the information in fingerprint that the end face plane forms; Image information can also be used other objects for the user, touches when touching end face as style of writing, is touching the image information that the end face plane forms.
In the present embodiment, the Dynamic Recognition of detection module 12 detects can comprise multiple situation, and correspondingly, the mouse input information of modular converter 13 conversions also can comprise multiple situation.Enumerate several Dynamic Recognition detections and every kind of mouse input information that the Dynamic Recognition detection is corresponding below.
In the present embodiment, the Dynamic Recognition done of detection module 12 detects and can comprise: change being identified in the motion change that touches on the end face plane according to the picture position; Change perpendicular to the lengthwise movement that touches on the end face plane according to the identification of image size variation.
Above-mentioned detection module 12 changes the motion change that is identified on the touch end face plane according to the picture position and comprises: the location variation of at least one angle point in the image that front and back change in the detected image, calculate the amount of movement of each angle point according to location variation, draw average amount of movement according to each angle point amount of movement.The fingerprint image that changes with front and back is example, the fingerprint image synoptic diagram can be consulted Fig. 2 and Fig. 3, wherein, two width of cloth fingerprint images that Fig. 2 and Fig. 3 change for front and back, each round dot is each angle point of fingerprint lines in it, and the round dot that two width of cloth number in the figure are identical is the same angle point in the information in fingerprint, and fingerprint image has shown the movement locus of each angle point before and after two width of cloth.
In actual application, detection module 12 is at first determined the position of same angle point in two width of cloth fingerprint images that front and back change; Secondly according to the location variation of angle point in two width of cloth fingerprint images that front and back change, calculate the amount of movement of this angle point; Draw average amount of movement according to this angle point amount of movement at last.Certainly, average amount of movement can also not limited this for the mean value of the amount of movement of all angle points.
Above-mentioned detection module 12 changes and comprises perpendicular to touching lengthwise movement on the end face plane according to image size variation identification: obtain in the image distance measurements between at least two angle points, under the inconsistent situation of distance measurements in the image that before and after detecting, changes between wantonly one or two angle point, variable in distance amount in the image that changes before and after detecting between at least two angle points, draw the mean change amount according to described variable in distance amount, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face.
The fingerprint image synoptic diagram that front and back change can be consulted Fig. 4 and Fig. 5, wherein, Fig. 4 and Fig. 5 are two width of cloth fingerprint images that front and back change in the information in fingerprint, each round dot is each angle point of fingerprint lines in it, and the round dot that label is identical is the same angle point in the information in fingerprint, and two width of cloth fingerprint images that front and back change have shown the vertical variation amount of movement that touches end face.
In actual application, detection module 12 obtains the distance measurements between a plurality of angle points in Fig. 4 and the fingerprint image shown in Figure 5 at first respectively, as the distance measurements between angle point 1 and the angle point 2, and the distance measurements between angle point 1 and the angle point 4; Secondly judge respectively among Fig. 4 among the distance measurements between the angle point 1 and angle point 2 in the distance measurements between the angle point 1 and angle point 2 and Fig. 5 or Fig. 4 whether the distance measurements between the angle point 1 and angle point 4 is consistent in the distance measurements between the angle point 1 and angle point 4 and Fig. 5; Corresponding angle point 1 and angle point 2 are determined the position of same angle point in two width of cloth fingerprint images that front and back change or/and under the inconsistent situation of distance measurements between angle point 1 and the angle point 4 in Fig. 4 and Fig. 5 afterwards; According to the position of angle point in two width of cloth fingerprint images that front and back change, obtain the variable in distance amount of this angle point afterwards; Afterwards, after getting access to the variable in distance amount of all angle points, calculate the mean value of the variable in distance amount of all angle points, draw the mean change amount; At last, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face.
In the present embodiment, the mean change amount can also not limited this for the variable in distance amount of arbitrary angle point.
Further, modular converter 13 will vertically change amount of movement and be converted to mouse translational speed information, and mouse translational speed information is imported information as mouse.Further, electronic equipment can be according to the translational speed of mouse translational speed information mouse beacon as the control module of notebook.
Need to prove: in the present embodiment, if certain angle point in the width of cloth fingerprint image does not occur in another width of cloth fingerprint image, then in the Dynamic Recognition testing process, the identification of saving this angle point detects.
Above-mentioned detection module 12 is when carrying out Dynamic Recognition, and image information can be information in fingerprint.When image information is information in fingerprint, detection module 12 can carry out fingerprint recognition to information in fingerprint and default information in fingerprint, carries out the identifying that motion change and lengthwise movement change under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint.Certainly, detection module 12 can also directly be carried out the identifying that motion change and lengthwise movement change.This is not limited.
Use technique scheme, present embodiment provides a kind of new TrackPoint transcriber, and it has changed the mechanical type control mode of existing TrackPoint.Acquisition module 11 can obtain the touch end face of TrackPoint because being touched formed image information in the TrackPoint transcriber; Identify detection by 12 pairs of image informations of obtaining of detection module again, modular converter 13 is converted to mouse input information with testing result.Described mouse input information can be mouse coordinates information and mouse translational speed information, and further electronic equipment can move according to mouse coordinates information and mouse translational speed information mouse beacon as the control module in the notebook.Therefore, the mouse input information that the TrackPoint transcriber that the application provides utilizes image processing techniques to obtain is avoided the external force error accumulation, thereby has been improved the mouse control precision.
Another embodiment
Among the last embodiment, the Dynamic Recognition that detection module 12 is done detects and can be identified in the motion change that touches on the end face plane for changing according to the picture position; Change perpendicular to the lengthwise movement that touches on the end face plane according to the identification of image size variation.
In the present embodiment, the Dynamic Recognition done of detection module 12 detects and comprises: form and die-out time is identified number of clicks according to image.Can comprise according to image formation and die-out time identification number of clicks: detect described image information at the formation time, the die-out time that touch on the end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the number clicked continuously of statistics.If be N in the image number that touches the image information that end face forms, then total number of formation time and die-out time is 2N, first Preset Time at interval or second Preset Time at interval number be 2N-1.The fingerprint image that changes with front and back respectively is example below, and the image number is that the specific implementation process of 1 or 2 pair of detection module 12 describes.
It is 1 o'clock in the image number, if formation time is T1, die-out time is T2, first Preset Time is spaced apart T, then time interval t is the difference of formation time T1 and die-out time T2, further the size of detection module 12 judgement times interval t and the first Preset Time interval T judges that under the situation of time interval t less than the first Preset Time interval T, detection module 12 is judged to be one click.Modular converter 13 is converted into the mouse-click operation information and imports information as mouse, thereby electronic equipment is carried out single-click operation as the control module mouse beacon of computer.
It is 2 o'clock in the image number, if formation time is T3 and T4, die-out time is T5 and T6, and time sequencing is T3, T4, T5 and T6, the time interval of formation time T3 and die-out time T5 is t1, the time interval of die-out time T5 and formation time T4 is t2, and the time interval of formation time T4 and die-out time T6 is t3.
The image number greater than 2 situation under, the implementation of detection module 12 and image number are that 2 situation is identical, difference is the mouse input information difference changed.In the image number not simultaneously, the mouse input information of modular converter 13 conversions can not limited this according to using scene to set.
Need to prove: in the present embodiment, second Preset Time can be a time set at interval, record each corresponding preset time interval in the time interval in it, further, detection module 12 is judged the size in each time interval and self corresponding preset time interval.
Above-mentioned detection module 12 is when carrying out Dynamic Recognition, and image information can be information in fingerprint.When image information is information in fingerprint, detection module 12 can carry out fingerprint recognition to information in fingerprint and default information in fingerprint, carries out the identifying of formation time, die-out time and image number under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint.Certainly, detection module 12 can also directly be carried out the identifying of formation time, die-out time and image number.This is not limited.
Use technique scheme, detection module 12 detects described image information at the formation time, the die-out time that touch on the end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the continuous number of clicking of statistics, modular converter 13 is converted to mouse clicking operation information with testing result and imports information as mouse.Further, electronic equipment can be imported the information mouse beacon according to mouse as the control module of computer and carry out clicking operation.
Another embodiment
In the present embodiment, the Dynamic Recognition that detection module 12 is done detects and can comprise: the direction according to image changes the variation of identification control angle.Changing identification control angle according to the direction of image changes and can comprise: at least two angle points separately amount of movement in the image that front and back change in the detected image, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, further calculate the angle variable quantity of line in the modified-image of front and back between each angle point and the rotary middle point, draw the average angle variable quantity according to described angle variable quantity.
The fingerprint image that changes with front and back respectively is example below, and the specific implementation process of detection module 12 is described.
The specific implementation process of above-mentioned detection module 12 is that example describes with two width of cloth fingerprint images of Fig. 6 and front and back conversion shown in Figure 7.Detection module 12 is at least two angle points separately amount of movement in the image that front and back change in the detected image at first, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, and the same point in two width of cloth fingerprint images that change before and after next is chosen is as central point; Calculate afterwards with central point, with same angle point in the image in Fig. 6 and Fig. 7 with the line of the central point angle variable quantity as the angle on limit; Draw average angle tolerance according to described angle variable quantity at last.In the present embodiment, average angle tolerance can also not limited this for the mean value of the angle variable quantity of all angles.
In the present embodiment, image direction changes identifying and comprises also that angle according to the image outline changes and judge whether image the direction variation takes place.Wherein, the image outline is the peripheral frame of image, can judge that the variation of the angle angle on two limits in the outline judges whether image direction takes place change.
Need to prove: in the present embodiment, if certain angle point in the width of cloth fingerprint image does not occur in another width of cloth fingerprint image, then in the Dynamic Recognition testing process, the identification of saving this angle point detects.
Above-mentioned detection module 12 is when carrying out Dynamic Recognition, and image information can be information in fingerprint.When image information is information in fingerprint, detection module 12 can carry out fingerprint recognition to information in fingerprint and default information in fingerprint, carries out angle metric identifying under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint.Certainly, detection module 12 can also directly be carried out angle metric identifying.This is not limited.
In the present embodiment, the angular transformation amount of angle point in the modified-image drew average angle tolerance according to angle variable quantity again before and after detection module 12 can detect in the described information in fingerprint.Further, modular converter 13 can be converted to rotation information with average angle tolerance, and rotation information is imported information as mouse, thus electronic equipment, can control the rotation of the image as shown in the notebook, the perhaps rotation of literal according to rotation information as the control module of notebook.
Another embodiment
In the present embodiment, when the image information of obtaining was information in fingerprint, the identification that detection module 12 is done detected and comprises: described information in fingerprint and default information in fingerprint are carried out fingerprint recognition.
Wherein, the fingerprint recognition process of detection module 12 is that the information in fingerprint of obtaining is mated identification with default information in fingerprint.Under the testing result situation that to be the information in fingerprint obtained be complementary with default information in fingerprint, modular converter 13 is converted to authentication with this testing result and imports information by information as mouse.Under the testing result situation that to be the information in fingerprint obtained do not mate with default information in fingerprint, this testing result is converted to authentication does not import information by information as mouse.
Further, pass through under the situation of information for authentication in mouse input information, the device that control module in the electronic equipment can be controlled in the electronic equipment is carried out user's operational order, for example the motion track of the mouse translational speed information mouse beacon that sends of the new TrackPoint that provides by the application of user.Do not pass through under the situation of information for authentication in mouse input information, the device that the control module in the electronic equipment can be controlled in the electronic equipment stops carrying out user's operational order.
Certainly, the TrackPoint in the present embodiment can be separately as an authenticate device, authentication result for by or unsanctioned situation under, the device that the control module in the electronic equipment is all directly controlled in the electronic equipment is carried out user's operational order.
Use technique scheme, detection module 12 can mate identification with default information in fingerprint to the information in fingerprint of obtaining, and then realizes the identification to user identity.Further, electronic equipment is carried out user's operational order by the device in the control module control electronic equipment under the situation that authenticating user identification passes through.
Another embodiment
In the present embodiment, when the image information of obtaining was information in fingerprint, the identification that detection module 12 is done detected and comprises: the grey scale change number of times that detects described information in fingerprint.
Wherein, detection module 12 detects the grey scale change number of times and can be the grey scale change number of times that detects information in fingerprint in the Preset Time section.For example: the user will point the plane that touching always touches end face in the Preset Time section, obtain the information in fingerprint in this Preset Time section.When blood flow was crossed the user and pointed, the gray-scale value of the information in fingerprint of obtaining was big; When blood did not flow through the user and points, the gray-scale value of the information in fingerprint of obtaining was little.Therefore, detection module 12 can be by detecting the gray-value variation of information in fingerprint in the Preset Time section, draw the grey scale change number of times, and then modular converter 13 draws the number of times that blood flow is crossed user finger, further be converted into the heart rate detection object information and import information as mouse.Above-mentioned Preset Time section can be realized setting by the user according to application scenarios, and this is not limited.
Need to prove: the TrackPoint in the present embodiment can send to electronic equipment with testing result separately as a heart rate detection device.Electronic equipment can show the heart rate detection result.Further, the control module in the electronic equipment can be controlled the duty of other devices in the electronic equipment according to the heart rate detection result.
Another embodiment
Corresponding with above-mentioned TrackPoint transcriber embodiment, the application also provides a kind of TrackPoint, structural representation as shown in Figure 8, comprise: touch end face 81 and TrackPoint transcriber 82, wherein, TrackPoint transcriber 82 comprises acquisition module 11, detection module 12 and modular converter 13.
In the present embodiment, the specific implementation process of acquisition module 11, detection module 12 and modular converter 13 sees also the explanation among the above-mentioned TrackPoint transcriber embodiment, and this is no longer set forth.The pictorial diagram of TrackPoint sees also Fig. 9, and detection module 12 and modular converter 13 do not draw, and the touch end face 81 among Fig. 9 is the transparent elastic material, for example touches end face 81 and can touch end face for silica gel.Acquisition module 11 can be camera.For fear of contact between acquisition module 11 and the touch end face 81, between is installed a transparent partition device 83, and this escapement 83 can be glass.
The TrackPoint of setting forth among the above-mentioned TrackPoint embodiment can be integrated in the notebook, perhaps in other electronic equipments.
Another embodiment
Corresponding with above-mentioned TrackPoint transcriber embodiment, the application also provides a kind of TrackPoint information conversion method, and its process flow diagram sees also Figure 10, can may further comprise the steps:
Step 101: obtain the touch end face of described TrackPoint because being touched formed image information.Wherein, when image information can touch end face for user's finger touches, touching the information in fingerprint that the end face plane forms; Image information can also be used other objects for the user, touches when touching end face as style of writing, is touching the image information that the end face plane forms.Wherein, touch end face and can touch end face for silica gel.
Step 102: the image information of obtaining is identified detection.Wherein, described identification detects and can detect for Dynamic Recognition.
Step 103: testing result is converted to mouse input information.
In the present embodiment, Dynamic Recognition detects can comprise multiple situation, and correspondingly, mouse input information also can comprise multiple situation.Enumerate several Dynamic Recognition detections and every kind of mouse input information that the Dynamic Recognition detection is corresponding below.
First kind of situation
The image information of obtaining is carried out the Dynamic Recognition detection to be comprised: change the motion change that is identified on the described touch end face plane according to the picture position; Identification changes perpendicular to the lengthwise movement on the described touch end face plane according to the image size variation.
Wherein, changing the motion change that is identified on the described touch end face plane according to the picture position comprises: the location variation of at least one angle point in the image that front and back change in the detected image, calculate the amount of movement of each angle point according to location variation, draw average amount of movement according to each angle point amount of movement.Average amount of movement is converted to mouse coordinates information, and mouse coordinates information is imported information as mouse, with the motion track of mouse beacon.
Change perpendicular to the lengthwise movement on the described touch end face plane according to image size variation identification and to comprise: obtain in the image distance measurements between at least two angle points, under the inconsistent situation of distance measurements in the image that before and after detecting, changes between wantonly one or two angle point, variable in distance amount in the image that changes before and after detecting between at least one angle point and other angle points, draw the mean change amount according to described variable in distance amount, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face.To vertically change amount of movement and be converted to mouse translational speed information, and mouse translational speed information will be imported information as mouse, with the translational speed of mouse beacon.
Second kind of situation
Describedly the image information of obtaining is carried out Dynamic Recognition detect and to comprise: form and die-out time is identified number of clicks according to image.Can comprise that according to image formation and die-out time identification number of clicks the described image information of detection is at the formation time, the die-out time that touch on the end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the number clicked continuously of statistics.
Further, one click is converted to the mouse-click operation information, will clicks continuously and be converted to the multi-hit operation information of mouse, and respectively as mouse input information, carry out multi-hit operation with mouse beacon.
The third situation
Describedly the image information of obtaining is carried out Dynamic Recognition detect and to comprise: change identification control angle according to the direction of image and change.Wherein changing identification control angle according to the direction of image changes and comprises: at least two angle points separately amount of movement in the image that front and back change in the detected image, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, further calculate the angle variable quantity of line in the modified-image of front and back between each angle point and the rotary middle point, draw the average angle variable quantity according to described angle variable quantity.Average angle tolerance is converted to rotation information, and rotation information is imported information as mouse, with the rotation of the shown image of control notebook, the perhaps rotation of literal.
Described image direction variation identifying also comprises according to the angle variation of image outline judges whether image direction takes place change.
Above-mentioned three kinds of situation image informations can be information in fingerprint.When the image information of obtaining is information in fingerprint, before the above-mentioned Dynamic Recognition testing process, at first described information in fingerprint and default information in fingerprint are carried out fingerprint recognition, carry out under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint and the image information of obtaining is carried out Dynamic Recognition detect.
In the present embodiment, when the image information of obtaining is information in fingerprint, described the image information of obtaining is identified to detect comprise: described information in fingerprint and default information in fingerprint are carried out fingerprint recognition.Concrete fingerprint recognition is coupling identification, under the situation that to be the information in fingerprint obtained in testing result be complementary with default information in fingerprint, this testing result is converted to authentication imports information by information as mouse.Under the testing result situation that to be the information in fingerprint obtained do not mate with default information in fingerprint, this testing result is converted to authentication does not import information by information as mouse.
In addition, when the image information of obtaining is information in fingerprint, described the image information of obtaining is identified to detect comprise: the grey scale change number of times that detects described information in fingerprint.The grey scale change number of times is converted to the heart rate detection object information imports information as mouse.
The specific implementation process that above-mentioned identification detects in the present embodiment sees also specifying among the TrackPoint embodiment, and this is no longer set forth.
Need to prove that each embodiment in this instructions all adopts the mode of going forward one by one to describe, what each embodiment stressed is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.
At last, also need to prove, in this article, relational terms such as first and second grades only is used for an entity or operation are made a distinction with another entity or operation, and not necessarily requires or hint and have the relation of any this reality or in proper order between these entities or the operation.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby make and comprise that process, method, article or the equipment of a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or also be included as the intrinsic key element of this process, method, article or equipment.Do not having under the situation of more restrictions, the key element that is limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
For the convenience of describing, be divided into various unit with function when describing above the device and describe respectively.Certainly, when implementing the application, can in same or a plurality of softwares and/or hardware, realize the function of each unit.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the application and can realize by the mode that software adds essential general hardware platform.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in the storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of some part of each embodiment of the application or embodiment.
More than a kind of TrackPoint, TrackPoint information conversion method, device and electronic equipment that the application is provided be described in detail, used specific case herein the application's principle and embodiment are set forth, the explanation of above embodiment just is used for helping to understand the application's method and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to the application's thought, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as the restriction to the application.
Claims (23)
1. a TrackPoint transcriber is characterized in that, comprising:
Acquisition module is used for obtaining the touch end face of described TrackPoint because being touched formed image information;
Detection module is used for the image information of obtaining is identified detection;
Modular converter is used for testing result is converted to mouse input information.
2. TrackPoint transcriber according to claim 1 is characterized in that, described detection module, and concrete being used for carried out the Dynamic Recognition detection to the image information of obtaining.
3. TrackPoint transcriber according to claim 2 is characterized in that, the Dynamic Recognition detection that described detection module is done comprises following at least a: change the motion change that is identified on the described touch end face plane according to the picture position; Identification changes perpendicular to the lengthwise movement on the described touch end face plane according to the image size variation; Form and die-out time identification number of clicks according to image; Direction according to image changes the variation of identification control angle.
4. TrackPoint transcriber according to claim 3, it is characterized in that, described detection module changes the motion change that is identified on the described touch end face plane according to the picture position and comprises: the location variation of at least one angle point in the image that front and back change in the detected image, calculate the amount of movement of angle point according to location variation, draw average amount of movement according to the amount of movement of angle point;
Described detection module changes perpendicular to the lengthwise movement on the described touch end face plane according to image size variation identification and comprises: obtain in the image distance measurements between at least two angle points, under the inconsistent situation of distance measurements in the image that before and after detecting, changes between wantonly one or two angle point, variable in distance amount in the image that changes before and after detecting between at least two angle points, draw the mean change amount according to described variable in distance amount, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face;
Describedly form and die-out time identification number of clicks comprises according to image: detect formation time, the die-out time of described image information on touch end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the number clicked continuously of statistics;
Described direction according to image changes identification control angle and changes and comprise: at least two angle points separately amount of movement in the image that front and back change in the detected image, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, further calculate the angle variable quantity of line in the modified-image of front and back between each angle point and the rotary middle point, draw the average angle variable quantity according to described angle variable quantity.
5. TrackPoint transcriber according to claim 4 is characterized in that, described image direction variation identifying also comprises according to the angle variation of image outline judges whether image direction takes place change.
6. according to any described TrackPoint transcriber of claim 2 to 5, it is characterized in that described image information is information in fingerprint.
7. TrackPoint transcriber according to claim 6, it is characterized in that, when the image information of obtaining is information in fingerprint, it is at described detection module described information in fingerprint and default information in fingerprint to be carried out fingerprint recognition that the identification of described detection module detects, and carries out under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint.
8. TrackPoint transcriber according to claim 1, it is characterized in that, when the image information of obtaining was information in fingerprint, the identification that described detection module is done detected and comprises: described information in fingerprint and default information in fingerprint are carried out fingerprint recognition.
9. TrackPoint transcriber according to claim 1 is characterized in that, when the image information of obtaining was information in fingerprint, the identification that described detection module is done detected and comprises: the grey scale change number of times that detects described information in fingerprint.
10. a TrackPoint is characterized in that, comprises touching end face and any described TrackPoint transcriber of claim 1 to 9.
11. TrackPoint according to claim 10 is characterized in that, described touch end face is the transparent elastic material.
12. TrackPoint according to claim 11 is characterized in that, described touch end face is that silica gel touches end face.
13. TrackPoint according to claim 11 is characterized in that, also comprises the transparent partition device that is arranged between described touch end face and the described acquisition module.
14. an electronic equipment is characterized in that, comprises as any described TrackPoint of claim 10 to 13.
15. a TrackPoint information conversion method is characterized in that, comprising:
Obtain the touch end face of described TrackPoint because being touched formed image information;
The image information of obtaining is identified detection;
Testing result is converted to mouse input information.
16. TrackPoint information conversion method according to claim 15 is characterized in that, the image information of obtaining is identified to detect comprise: the image information of obtaining is carried out Dynamic Recognition detect.
17. TrackPoint information conversion method according to claim 16, it is characterized in that, described to the image information of obtaining carry out Dynamic Recognition detect comprise following at least a: change the motion change that is identified on the described touch end face plane according to the picture position; Identification changes perpendicular to the lengthwise movement on the described touch end face plane according to the image size variation; Form and die-out time identification number of clicks according to image; Direction according to image changes the variation of identification control angle.
18. TrackPoint information conversion method according to claim 17, it is characterized in that, when the image information of obtaining is information in fingerprint, the described motion change that is identified on the described touch end face plane according to the picture position variation comprises: the location variation of at least one angle point in the image that front and back change in the detected image, calculate the amount of movement of angle point according to location variation, draw average amount of movement according to the amount of movement of angle point;
The described variation perpendicular to the lengthwise movement on the described touch end face plane according to image size variation identification comprises: obtain in the image distance measurements between at least two angle points, under the inconsistent situation of distance measurements in the image that before and after detecting, changes between wantonly one or two angle point, variable in distance amount in the image that changes before and after detecting between at least two angle points, draw the mean change amount according to described variable in distance amount, according to the relation of described mean change amount and described touch face deformation structure, draw vertical variation amount of movement of described touch end face;
Describedly form and die-out time identification number of clicks comprises according to image: detect formation time, the die-out time of described image information on touch end face plane; Obtain the time interval of formation time and die-out time, whether judgement time is at interval less than first Preset Time interval, if then be judged to be one click; Judge between twice click in continuous front and back the time interval whether less than second Preset Time at interval, if be judged to be continuous click, and the number clicked continuously of statistics;
Described direction according to image changes identification control angle and changes and comprise: at least two angle points separately amount of movement in the image that front and back change in the detected image, relatively whether each angle point amount of movement and the difference of judging the angle point amount of movement be all less than first threshold, if not, then process decision chart picture generation direction changes, further calculate the angle variable quantity of line in the modified-image of front and back between each angle point and the rotary middle point, draw the average angle variable quantity according to described angle variable quantity.
19. TrackPoint information conversion method according to claim 18 is characterized in that, described image direction variation identifying also comprises according to the angle variation of image outline judges whether image direction takes place change.
20. according to any described TrackPoint information conversion method of claim 16 to 19, it is characterized in that described image information is information in fingerprint.
21. TrackPoint information conversion method according to claim 20, it is characterized in that, when the image information of obtaining is information in fingerprint, described information in fingerprint and default information in fingerprint are carried out fingerprint recognition, carry out under the situation that to be the information in fingerprint obtained at recognition result be complementary with default information in fingerprint and the image information of obtaining is carried out Dynamic Recognition detect.
22. TrackPoint information conversion method according to claim 15, it is characterized in that, when the image information of obtaining is information in fingerprint, described the image information of obtaining is identified to detect comprise: described information in fingerprint and default information in fingerprint are carried out fingerprint recognition.
23. TrackPoint information conversion method according to claim 15, it is characterized in that, when the image information of obtaining is information in fingerprint, described the image information of obtaining is identified to detect comprise: the grey scale change number of times that detects described information in fingerprint.
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| CN201210007805.XA CN103207686B (en) | 2012-01-11 | 2012-01-11 | A kind of TrackPoint, TrackPoint information conversion method, device and electronic equipment |
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| CN201210007805.XA CN103207686B (en) | 2012-01-11 | 2012-01-11 | A kind of TrackPoint, TrackPoint information conversion method, device and electronic equipment |
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