CN103699244B - The recognition methods of trace ball in measuring instrument - Google Patents
The recognition methods of trace ball in measuring instrument Download PDFInfo
- Publication number
- CN103699244B CN103699244B CN201410008651.5A CN201410008651A CN103699244B CN 103699244 B CN103699244 B CN 103699244B CN 201410008651 A CN201410008651 A CN 201410008651A CN 103699244 B CN103699244 B CN 103699244B
- Authority
- CN
- China
- Prior art keywords
- dimension
- data
- commits
- negative
- input
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Image Analysis (AREA)
Abstract
The invention discloses the recognition methods of trace ball in a kind of measuring instrument, the 2-D data that the motion of described trace ball produces has 4 kinds of situations, and to 2-D data, system first carries out which kind of situation judgement belongs to, carry out tendentious judgement further according to different situations.Select if 2-D data belongs to user tendency, then 2-D data is converted to one-dimensional vector shift and performs associative operation；Select if 2-D data is not belonging to user tendency, then ignore this input.The present invention uses above technical scheme, and the 2-D data producing trace ball motion carries out orientation identification, it is possible to filter the data that some maloperations produce, strengthen the identification sensitivity of system of users gesture, reduce the difficulty that trace ball uses, improve Consumer's Experience, improve Man machine interaction.
Description
Present disclosure relates to communication technical field, particularly relates to the recognition methods of trace ball in a kind of measuring instrument.
Background technology trace ball is applied in a lot of instrument and equipment now, such as in the control device of computer mouse or other medical equipments.Trace ball work
When making, ball is above, directly stirs with hands, and ball seat maintains static, thus trace ball takes up room little, is used for the portable machines such as notebook computer,
Simple man-machine interactive operation can be realized by operation trace ball.
General instrument and equipment is all numerical operation or the state switching using one-dimensional linear, it is therefore desirable to stipulations trace ball only supports the hands of a dimension
Gesture operates, and ignores the deviant producing another dimension when staff slides simultaneously.It practice, the mistake of staff likely occurs during operation trace ball
Action, it is also possible to owing to physical characteristic produces the bounce-back value of arbitrary dimension, but measuring instrument can not effective filter out misoperation value or bounce-back value, its
Degree of accuracy is relatively low, and Man machine interaction has much room for improvement.
Summary of the invention it is an object of the invention to provide that a kind of resolution is high, the measuring instrument of maloperation value and bounce-back value can be filtered in the identification side of trace ball
Method.
For achieving the above object, the present invention is by the following technical solutions: the recognition methods of trace ball in measuring instrument, the motion of described trace ball produces
2-D data has following 4 kinds of situations: have no data in data and Y dimension on X-dimension, Y dimension has no data on data and X-dimension, X and Y
Data are all had, equal no data in X and Y dimension in dimension；Described recognition methods comprises the following steps:
Assuming that the total drift number of times in X and Y dimension is respectively X_Commits, Y_Commits, data absolute value is respectively X_abs and Y_abs,
Positive and negative skew number of times on X-dimension is designated as X_Positive, X_Negative respectively, and the positive and negative skew number of times in Y dimension is designated as respectively
Y_Positive、Y_Negative；
First, system judge that 2-D data belongs to any situation, carry out tendentious judgement further according to different situations: if 2-D data belongs to
User tendency selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation, adds 1 to total drift number of times after conversion every time, and
Align or negative bias moves number of times and adds 1；Select if 2-D data is not belonging to user tendency, then ignore this input；
Wherein, tendentiousness judges that the inequality related to has:
Tendentiousness judgement is carried out below for four kinds of situations of 2-D data:
1) there is no data in data and Y dimension on X-dimension:
According to X_Commits with Y_Commits, system first judges whether inequality (A) is set up, if set up, then estimate user behavior now still
Possesses the vector shift inertia of continuity Y dimension, it should ignoring this input on X-dimension, Y_Commits subtracts 1 as tendentiousness compensation simultaneously；
If be false, then judge whether inequality (C) is set up；
If inequality (C) is false, then ignore this input；If inequality (C) is set up, and the numerical value of input is just, is put into inequality (B)
Judge；If inequality (B) is set up, then this input is the negative value inertia of continuity X-dimension, ignores, and X_Negative subtracts 1 as inclining simultaneously
Tropism compensates, and is otherwise carried out this input；If inequality (C) is set up, and the numerical value of input is negative, is put into inequality (I) and judges；If no
Etc. formula (I) set up, then this input for continuity X-dimension on the occasion of inertia, ignore, simultaneously X_Positive subtract 1 as tendentiousness compensate,
Otherwise it is carried out this input；
2) there is no data on data and X-dimension in Y dimension:
System first judges whether X-dimension meets inequality (D), if inequality (D) is set up, is then judged as continuing the vector shift inertia of X-dimension,
Ignoring this input, X_Commits subtracts 1 as tendentiousness compensation simultaneously, the most again judges whether inequality (F) is set up, if inequality (F)
Set up, then according to positive and negative entrance inequality (E) or the judgement of (J) of this input numerical value, otherwise then ignore；
If inequality (E) is set up, and this input numerical value is just, then be judged as continuing the negative value inertia of Y, therefore this input is ignored, simultaneously
Y_Negative subtracts 1 and compensates as tendentiousness, otherwise performs this input；If inequality (J) is set up, and this input numerical value is negative, then sentence
Break for continuity Y on the occasion of inertia, therefore this input is ignored, and Y_Positive subtracts 1 and compensates as tendentiousness simultaneously, otherwise performs this and inputs；
3) all there are data in X and Y dimension:
Use inequality (A) to compare the tendentiousness of which dimension big, when the tendentiousness of certain dimension is big and absolute value more than 2 time, then system is carried out
The positive negative judgement of skew inertia in this dimension, if the positive and negative and input numerical value of the skew inertia in this dimension is positive and negative contrary, ignores, otherwise performs
This input；When being unsatisfactory for condition, X_Commits and Y_Commits subtracts 1 simultaneously, carries out data absolute value and compares, if inequality (G) is set up
Then perform the vector shift of X-dimension, if inequality (H) is set up, perform the vector shift of Y dimension；
4) equal no data in X and Y dimension:
X_Commits and Y_Commits subtracts 1 simultaneously, and after being accumulated to certain number of times without 2-D data input, X_Commits and Y_Commits is straight
Connect zero setting.
In any case, when described X_Commits subtracts 1, what X_Positive and X_Negative was all corresponding subtracts 1, and described X_Commits puts
When zero, the zero setting that X_Positive and X_Negative is all corresponding.
In any case, when described Y_Commits subtracts 1, what Y_Positive and Y_Negative was all corresponding subtracts 1, and described Y_Commits puts
When zero, the zero setting that Y_Positive and Y_Negative is all corresponding.
Described X_Commits or Y_Commits, when adding 1 for the first time, does not perform the input of this 2-D data, and convenient the eliminating shakes or false touch product
Raw 2-D data.
Described 2-D data is after judging and confirming to perform, if the absolute value of input numerical value is more than 6, then the absolute value of this numerical value adds 4, thus puts
The sliding effect of big trace ball.
The present invention uses above method, and system first judges which kind of situation 2-D data belongs to, and carries out tendentious judgement further according to different situations.If
2-D data belongs to user tendency and selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation；If 2-D data is not belonging to use
Family tendentiousness selects, then ignore this input.Therefore, the present invention can effectively filter out data or the bounce-back value that some maloperations produce, and reduces track
The difficulty that ball uses, strengthens the identification sensitivity of system of users gesture, improves Consumer's Experience, improves Man machine interaction.
Detailed description of the invention is described in further detail below in conjunction with detailed description of the invention:
The recognition methods of trace ball in the measuring instrument that the present invention provides, the 2-D data that the motion of described trace ball produces has following 4 kinds of situation: X dimension
There is no data in data and Y dimension on degree, Y dimension has no data on data and X-dimension, X and Y dimension all has data, in X and Y dimension
All no data；Described recognition methods comprises the following steps:
Assuming that the total drift number of times in X and Y dimension is respectively X_Commits, Y_Commits, data absolute value is respectively X_abs and Y_abs,
Positive and negative skew number of times on X-dimension is designated as X_Positive, X_Negative respectively, and the positive and negative skew number of times in Y dimension is designated as respectively
Y_Positive、Y_Negative；
First, system judge that 2-D data belongs to any situation, carry out tendentious judgement further according to different situations: if 2-D data belongs to
User tendency selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation, adds 1 to total drift number of times after conversion every time, and
Align or negative bias moves number of times and adds 1；Select if 2-D data is not belonging to user tendency, then ignore this input；
Wherein, tendentiousness judges that the inequality related to has:
Tendentiousness judgement is carried out below for four kinds of situations of 2-D data:
1) there is no data in data and Y dimension on X-dimension:
According to X_Commits with Y_Commits, system first judges whether inequality (A) is set up, if set up, then estimate user behavior now still
Possesses the vector shift inertia of continuity Y dimension, it should ignoring this input on X-dimension, Y_Commits subtracts 1 as tendentiousness compensation simultaneously；
If be false, then judge whether inequality (C) is set up；
If inequality (C) is false, then ignore this input；If inequality (C) is set up, and the numerical value of input is just, is put into inequality (B)
Judge；If inequality (B) is set up, then this input is the negative value inertia of continuity X-dimension, ignores, and X_Negative subtracts 1 as inclining simultaneously
Tropism compensates, and is otherwise carried out this input；If inequality (C) is set up, and the numerical value of input is negative, is put into inequality (I) and judges；If no
Etc. formula (I) set up, then this input for continuity X-dimension on the occasion of inertia, ignore, simultaneously X_Positive subtract 1 as tendentiousness compensate,
Otherwise it is carried out this input；
2) there is no data on data and X-dimension in Y dimension:
System first judges whether X-dimension meets inequality (D), if inequality (D) is set up, is then judged as continuing the vector shift inertia of X-dimension,
Ignoring this input, X_Commits subtracts 1 as tendentiousness compensation simultaneously, the most again judges whether inequality (F) is set up, if inequality (F)
Set up, then according to positive and negative entrance inequality (E) or the judgement of (J) of this input numerical value, otherwise then ignore；
If inequality (E) is set up, and this input numerical value is just, then be judged as continuing the negative value inertia of Y, therefore this input is ignored, simultaneously
Y_Negative subtracts 1 and compensates as tendentiousness, otherwise performs this input；If inequality (J) is set up, and this input numerical value is negative, then sentence
Break for continuity Y on the occasion of inertia, therefore this input is ignored, and Y_Positive subtracts 1 and compensates as tendentiousness simultaneously, otherwise performs this and inputs；
3) all there are data in X and Y dimension:
Use inequality (A) to compare the tendentiousness of which dimension big, when the tendentiousness of certain dimension is big and absolute value more than 2 time, then system is carried out
The positive negative judgement of skew inertia in this dimension, if the positive and negative and input numerical value of the skew inertia in this dimension is positive and negative contrary, ignores, otherwise performs
This input；When being unsatisfactory for condition, X_Commits and Y_Commits subtracts 1 simultaneously, carries out data absolute value and compares, if inequality (G) is set up
Then perform the vector shift of X-dimension, if inequality (H) is set up, perform the vector shift of Y dimension；
4) equal no data in X and Y dimension:
X_Commits and Y_Commits subtracts 1 simultaneously, and after being accumulated to certain number of times without 2-D data input, X_Commits and Y_Commits is straight
Connect zero setting.
In any case, when described X_Commits subtracts 1, what X_Positive and X_Negative was all corresponding subtracts 1, and described X_Commits puts
When zero, the zero setting that X_Positive and X_Negative is all corresponding.
In any case, when described Y_Commits subtracts 1, what Y_Positive and Y_Negative was all corresponding subtracts 1, and described Y_Commits puts
When zero, the zero setting that Y_Positive and Y_Negative is all corresponding.
Described X_Commits or Y_Commits, when adding 1 for the first time, does not perform the input of this 2-D data.
Described 2-D data is after judging and confirming to perform, if the absolute value of input numerical value is more than 6, then the absolute value of this numerical value adds 4.
Use above technology, it is possible to achieve the gesture identification of trace ball in measuring instrument, promote Consumer's Experience, improve Man machine interaction.
Embodiment 1
The recognition methods of trace ball in measuring instrument, the 2-D data that the motion of described trace ball produces has following 4 kinds of situations: have on X-dimension data and
No data in Y dimension, Y dimension has no data on data and X-dimension, X and Y dimension all has data, equal no data in X and Y dimension；Institute
State recognition methods to comprise the following steps:
Assuming that the total drift number of times in X and Y dimension is respectively X_Commits, Y_Commits, data absolute value is respectively X_abs and Y_abs,
Positive and negative skew number of times on X-dimension is designated as X_Positive, X_Negative respectively, and the positive and negative skew number of times in Y dimension is designated as respectively
Y_Positive、Y_Negative；
First, system judge that 2-D data belongs to any situation, carry out tendentious judgement further according to different situations: if 2-D data belongs to
User tendency selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation, adds 1 to total drift number of times after conversion every time, and
Align or negative bias moves number of times and adds 1；Select if 2-D data is not belonging to user tendency, then ignore this input；
Wherein, tendentiousness judges that the inequality related to has:
Tendentiousness judgement is carried out below for four kinds of situations of 2-D data:
1) there is no data in data and Y dimension on X-dimension:
According to X_Commits with Y_Commits, system first judges whether inequality (A) is set up, if set up, then estimate user behavior now still
Possesses the vector shift inertia of continuity Y dimension, it should ignoring this input on X-dimension, Y_Commits subtracts 1 as tendentiousness compensation simultaneously；
If be false, then judge whether inequality (C) is set up；
If inequality (C) is false, then ignore this input；If inequality (C) is set up, and the numerical value of input is just, is put into inequality (B)
Judge；If inequality (B) is set up, then this input is the negative value inertia of continuity X-dimension, ignores, and X_Negative subtracts 1 as inclining simultaneously
Tropism compensates, and is otherwise carried out this input；If inequality (C) is set up, and the numerical value of input is negative, is put into inequality (I) and judges；If no
Etc. formula (I) set up, then this input for continuity X-dimension on the occasion of inertia, ignore, simultaneously X_Positive subtract 1 as tendentiousness compensate,
Otherwise it is carried out this input；
2) there is no data on data and X-dimension in Y dimension:
System first judges whether X-dimension meets inequality (D), if inequality (D) is set up, is then judged as continuing the vector shift inertia of X-dimension,
Ignoring this input, X_Commits subtracts 1 as tendentiousness compensation simultaneously, the most again judges whether inequality (F) is set up, if inequality (F)
Set up, then according to positive and negative entrance inequality (E) or the judgement of (J) of this input numerical value, otherwise then ignore；
If inequality (E) is set up, and this input numerical value is just, then be judged as continuing the negative value inertia of Y, therefore this input is ignored, simultaneously
Y_Negative subtracts 1 and compensates as tendentiousness, otherwise performs this input；If inequality (J) is set up, and this input numerical value is negative, then sentence
Break for continuity Y on the occasion of inertia, therefore this input is ignored, and Y_Positive subtracts 1 and compensates as tendentiousness simultaneously, otherwise performs this and inputs；
3) all there are data in X and Y dimension:
Use inequality (A) to compare the tendentiousness of which dimension big, when the tendentiousness of certain dimension is big and absolute value more than 2 time, then system is carried out
The positive negative judgement of skew inertia in this dimension, if the positive and negative and input numerical value of the skew inertia in this dimension is positive and negative contrary, ignores, otherwise performs
This input；When being unsatisfactory for condition, X_Commits and Y_Commits subtracts 1 simultaneously, carries out data absolute value and compares, if inequality (G) is set up
Then perform the vector shift of X-dimension, if inequality (H) is set up, perform the vector shift of Y dimension；
4) equal no data in X and Y dimension:
X_Commits and Y_Commits subtracts 1 simultaneously, and after being accumulated to certain number of times without 2-D data input, X_Commits and Y_Commits is straight
Connect zero setting.
In any case, when described X_Commits subtracts 1, what X_Positive and X_Negative was all corresponding subtracts 1, and described X_Commits puts
When zero, the zero setting that X_Positive and X_Negative is all corresponding.
In any case, when described Y_Commits subtracts 1, what Y_Positive and Y_Negative was all corresponding subtracts 1, and described Y_Commits puts
When zero, the zero setting that Y_Positive and Y_Negative is all corresponding.
Described X_Commits or Y_Commits, when adding 1 for the first time, does not perform the input of this 2-D data.
Described 2-D data is after judging and confirming to perform, if the absolute value of input numerical value is more than 6, then the absolute value of this numerical value adds 4.
Embodiment 2
The recognition methods of trace ball in measuring instrument, the 2-D data that the motion of described trace ball produces has following 4 kinds of situations: have on X-dimension data and
No data in Y dimension, Y dimension has no data on data and X-dimension, X and Y dimension all has data, equal no data in X and Y dimension；Institute
State recognition methods to comprise the following steps:
Assuming that the total drift number of times in X and Y dimension is respectively X_Commits, Y_Commits, data absolute value is respectively X_abs and Y_abs,
Positive and negative skew number of times on X-dimension is designated as X_Positive, X_Negative respectively, and the positive and negative skew number of times in Y dimension is designated as respectively
Y_Positive、Y_Negative；
First, system judge that 2-D data belongs to any situation, carry out tendentious judgement further according to different situations: if 2-D data belongs to
User tendency selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation, adds 1 to total drift number of times after conversion every time, and
Align or negative bias moves number of times and adds 1；Select if 2-D data is not belonging to user tendency, then ignore this input；
Wherein, tendentiousness judges that the inequality related to has:
Tendentiousness judgement is carried out below for four kinds of situations of 2-D data:
1) there is no data in data and Y dimension on X-dimension:
According to X_Commits with Y_Commits, system first judges whether inequality (A) is set up, if set up, then estimate user behavior now still
Possesses the vector shift inertia of continuity Y dimension, it should ignoring this input on X-dimension, Y_Commits subtracts 1 as tendentiousness compensation simultaneously；
If be false, then judge whether inequality (C) is set up；
If inequality (C) is false, then ignore this input；If inequality (C) is set up, and the numerical value of input is just, is put into inequality (B)
Judge；If inequality (B) is set up, then this input is the negative value inertia of continuity X-dimension, ignores, and X_Negative subtracts 1 as inclining simultaneously
Tropism compensates, and is otherwise carried out this input；If inequality (C) is set up, and the numerical value of input is negative, is put into inequality (I) and judges；If no
Etc. formula (I) set up, then this input for continuity X-dimension on the occasion of inertia, ignore, simultaneously X_Positive subtract 1 as tendentiousness compensate,
Otherwise it is carried out this input；
2) there is no data on data and X-dimension in Y dimension:
System first judges whether X-dimension meets inequality (D), if inequality (D) is set up, is then judged as continuing the vector shift inertia of X-dimension,
Ignoring this input, X_Commits subtracts 1 as tendentiousness compensation simultaneously, the most again judges whether inequality (F) is set up, if inequality (F)
Set up, then according to positive and negative entrance inequality (E) or the judgement of (J) of this input numerical value, otherwise then ignore；
If inequality (E) is set up, and this input numerical value is just, then be judged as continuing the negative value inertia of Y, therefore this input is ignored, simultaneously
Y_Negative subtracts 1 and compensates as tendentiousness, otherwise performs this input；If inequality (J) is set up, and this input numerical value is negative, then sentence
Break for continuity Y on the occasion of inertia, therefore this input is ignored, and Y_Positive subtracts 1 and compensates as tendentiousness simultaneously, otherwise performs this and inputs；
3) all there are data in X and Y dimension:
Use inequality (A) to compare the tendentiousness of which dimension big, when the tendentiousness of certain dimension is big and absolute value more than 2 time, then system is carried out
The positive negative judgement of skew inertia in this dimension, if the positive and negative and input numerical value of the skew inertia in this dimension is positive and negative contrary, ignores, otherwise performs
This input；When being unsatisfactory for condition, X_Commits and Y_Commits subtracts 1 simultaneously, carries out data absolute value and compares, if inequality (G) is set up
Then perform the vector shift of X-dimension, if inequality (H) is set up, perform the vector shift of Y dimension；
4) equal no data in X and Y dimension:
X_Commits and Y_Commits subtracts 1 simultaneously, and after being accumulated to certain number of times without 2-D data input, X_Commits and Y_Commits is straight
Connect zero setting.
In any case, when described X_Commits subtracts 1, what X_Positive and X_Negative was all corresponding subtracts 1, and described X_Commits puts
When zero, the zero setting that X_Positive and X_Negative is all corresponding.
In any case, when described Y_Commits subtracts 1, what Y_Positive and Y_Negative was all corresponding subtracts 1, and described Y_Commits puts
When zero, the zero setting that Y_Positive and Y_Negative is all corresponding.
Described X_Commits or Y_Commits, when adding 1 for the first time, does not perform the input of this 2-D data.
Described 2-D data is after judging and confirming to perform, if the absolute value of input numerical value is more than 6, then the absolute value of this numerical value adds 4.
Embodiment 3
The recognition methods of trace ball in measuring instrument, the 2-D data that the motion of described trace ball produces has following 4 kinds of situations: have on X-dimension data and
No data in Y dimension, Y dimension has no data on data and X-dimension, X and Y dimension all has data, equal no data in X and Y dimension；Institute
State recognition methods to comprise the following steps:
Assuming that the total drift number of times in X and Y dimension is respectively X_Commits, Y_Commits, data absolute value is respectively X_abs and Y_abs,
Positive and negative skew number of times on X-dimension is designated as X_Positive, X_Negative respectively, and the positive and negative skew number of times in Y dimension is designated as respectively
Y_Positive、Y_Negative；
First, system judge that 2-D data belongs to any situation, carry out tendentious judgement further according to different situations: if 2-D data belongs to
User tendency selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation, adds 1 to total drift number of times after conversion every time, and
Align or negative bias moves number of times and adds 1；Select if 2-D data is not belonging to user tendency, then ignore this input；
Wherein, tendentiousness judges that the inequality related to has:
Tendentiousness judgement is carried out below for four kinds of situations of 2-D data:
1) there is no data in data and Y dimension on X-dimension:
According to X_Commits with Y_Commits, system first judges whether inequality (A) is set up, if set up, then estimate user behavior now still
Possesses the vector shift inertia of continuity Y dimension, it should ignoring this input on X-dimension, Y_Commits subtracts 1 as tendentiousness compensation simultaneously；
If be false, then judge whether inequality (C) is set up；
If inequality (C) is false, then ignore this input；If inequality (C) is set up, and the numerical value of input is just, is put into inequality (B)
Judge；If inequality (B) is set up, then this input is the negative value inertia of continuity X-dimension, ignores, and X_Negative subtracts 1 as inclining simultaneously
Tropism compensates, and is otherwise carried out this input；If inequality (C) is set up, and the numerical value of input is negative, is put into inequality (I) and judges；If no
Etc. formula (I) set up, then this input for continuity X-dimension on the occasion of inertia, ignore, simultaneously X_Positive subtract 1 as tendentiousness compensate,
Otherwise it is carried out this input；
2) there is no data on data and X-dimension in Y dimension:
System first judges whether X-dimension meets inequality (D), if inequality (D) is set up, is then judged as continuing the vector shift inertia of X-dimension,
Ignoring this input, X_Commits subtracts 1 as tendentiousness compensation simultaneously, the most again judges whether inequality (F) is set up, if inequality (F)
Set up, then according to positive and negative entrance inequality (E) or the judgement of (J) of this input numerical value, otherwise then ignore；
If inequality (E) is set up, and this input numerical value is just, then be judged as continuing the negative value inertia of Y, therefore this input is ignored, simultaneously
Y_Negative subtracts 1 and compensates as tendentiousness, otherwise performs this input；If inequality (J) is set up, and this input numerical value is negative, then sentence
Break for continuity Y on the occasion of inertia, therefore this input is ignored, and Y_Positive subtracts 1 and compensates as tendentiousness simultaneously, otherwise performs this and inputs；
3) all there are data in X and Y dimension:
Use inequality (A) to compare the tendentiousness of which dimension big, when the tendentiousness of certain dimension is big and absolute value more than 2 time, then system is carried out
The positive negative judgement of skew inertia in this dimension, if the positive and negative and input numerical value of the skew inertia in this dimension is positive and negative contrary, ignores, otherwise performs
This input；When being unsatisfactory for condition, X_Commits and Y_Commits subtracts 1 simultaneously, carries out data absolute value and compares, if inequality (G) is set up
Then perform the vector shift of X-dimension, if inequality (H) is set up, perform the vector shift of Y dimension；
4) equal no data in X and Y dimension:
X_Commits and Y_Commits subtracts 1 simultaneously, and after being accumulated to certain number of times without 2-D data input, X_Commits and Y_Commits is straight
Connect zero setting.
In any case, when described X_Commits subtracts 1, what X_Positive and X_Negative was all corresponding subtracts 1, and described X_Commits puts
When zero, the zero setting that X_Positive and X_Negative is all corresponding.
In any case, when described Y_Commits subtracts 1, what Y_Positive and Y_Negative was all corresponding subtracts 1, and described Y_Commits puts
When zero, the zero setting that Y_Positive and Y_Negative is all corresponding.
Described X_Commits or Y_Commits, when adding 1 for the first time, does not perform the input of this 2-D data.
Described 2-D data is after judging and confirming to perform, if the absolute value of input numerical value is more than 6, then the absolute value of this numerical value adds 4.
Claims (5)
1. the recognition methods of trace ball in measuring instrument, the 2-D data that the motion of described trace ball produces has following 4 kinds of situations: have number on X-dimension
According to and Y dimension on no data, Y dimension has no data on data and X-dimension, X and Y dimension all has data, equal no data in X and Y dimension；
It is characterized in that: described recognition methods comprises the following steps:
Assuming that the total drift number of times in X and Y dimension is respectively X_Commits, Y_Commits, data absolute value is respectively X_abs and Y_abs,
Positive and negative skew number of times on X-dimension is designated as X_Positive, X_Negative respectively, and the positive and negative skew number of times in Y dimension is designated as respectively
Y_Positive、Y_Negative；
First, system judge that 2-D data belongs to any situation, carry out tendentious judgement further according to different situations: if 2-D data belongs to
User tendency selects, then 2-D data is converted to one-dimensional vector shift and performs associative operation, adds 1 to total drift number of times after conversion every time, and
Align or negative bias moves number of times and adds 1；Select if 2-D data is not belonging to user tendency, then ignore this input；
Wherein, tendentiousness judges that the inequality related to has:
Y_Commits >=X_Commits+m, is set in m between 1～20 according to different tracks ball； (A)
The judgement that X-dimension skew is positive and negative: X_Negative >=X_Positive+k, is set in k between 1～10 according to different trace balls；
(B)
X_Commits >=Y_Commits； (C)
X_Commits >=Y_Commits+m； (D)
The judgement that the skew of Y dimension is positive and negative: Y_Negative >=Y_Positive+k； (E)
Y_Commits >=X_Commits； (F)
X_abs > Y_abs*n, n desirable 2； (G)
Y_abs>X_abs*n； (H)
X_Positive >=X_Negative+k； (I)
Y_Positive >=Y_Negative_+k； (J)
Tendentiousness judgement is carried out below for four kinds of situations of 2-D data:
1) there is no data in data and Y dimension on X-dimension:
According to X_Commits with Y_Commits, system first judges whether inequality (A) is set up, if set up, then estimate user behavior now still
Possesses the vector shift inertia of continuity Y dimension, it should ignoring this input on X-dimension, Y_Commits subtracts 1 as tendentiousness compensation simultaneously；
If be false, then judge whether inequality (C) is set up；
If inequality (C) is false, then ignore this input；If inequality (C) is set up, and the numerical value of input is just, is put into inequality (B)
Judge；If inequality (B) is set up, then this input is the negative value inertia of continuity X-dimension, ignores, and X_Negative subtracts 1 as inclining simultaneously
Tropism compensates, and is otherwise carried out this input；If inequality (C) is set up, and the numerical value of input is negative, is put into inequality (I) and judges；If no
Etc. formula (I) set up, then this input for continuity X-dimension on the occasion of inertia, ignore, simultaneously X_Positive subtract 1 as tendentiousness compensate,
Otherwise it is carried out this input；
2) there is no data on data and X-dimension in Y dimension:
System first judges whether X-dimension meets inequality (D), if inequality (D) is set up, is then judged as continuing the vector shift inertia of X-dimension,
Ignoring this input, X_Commits subtracts 1 as tendentiousness compensation simultaneously, the most again judges whether inequality (F) is set up, if inequality (F)
Set up, then according to positive and negative entrance inequality (E) or the judgement of (J) of this input numerical value, otherwise then ignore；
If inequality (E) is set up, and this input numerical value is just, then be judged as continuing the negative value inertia of Y, therefore this input is ignored, simultaneously
Y_Negative subtracts 1 and compensates as tendentiousness, otherwise performs this input；If inequality (J) is set up, and this input numerical value is negative, then sentence
Break for continuity Y on the occasion of inertia, therefore this input is ignored, and Y_Positive subtracts 1 and compensates as tendentiousness simultaneously, otherwise performs this and inputs；
3) all there are data in X and Y dimension:
Use inequality (A) to compare the tendentiousness of which dimension big, when the tendentiousness of certain dimension is big and absolute value more than 2 time, then system is carried out
The positive negative judgement of skew inertia in this dimension, if the positive and negative and input numerical value of the skew inertia in this dimension is positive and negative contrary, ignores, otherwise performs
This input；When being unsatisfactory for condition, X_Commits and Y_Commits subtracts 1 simultaneously, carries out data absolute value and compares, if inequality (G) is set up
Then perform the vector shift of X-dimension, if inequality (H) is set up, perform the vector shift of Y dimension；
4) equal no data in X and Y dimension:
X_Commits and Y_Commits subtracts 1 simultaneously, and after being accumulated to certain number of times without 2-D data input, X_Commits and Y_Commits is straight
Connect zero setting.
The recognition methods of trace ball in measuring instrument the most according to claim 1, it is characterised in that: in any case, described X_Commits
When subtracting 1, what X_Positive and X_Negative was all corresponding subtracts 1, and during described X_Commits zero setting, X_Positive and X_Negative is equal
Corresponding zero setting.
The recognition methods of trace ball in measuring instrument the most according to claim 1, it is characterised in that: in any case, described Y_Commits
When subtracting 1, what Y_Positive and Y_Negative was all corresponding subtracts 1, and during described Y_Commits zero setting, Y_Positive and Y_Negative is equal
Corresponding zero setting.
The recognition methods of trace ball in measuring instrument the most according to claim 1, it is characterised in that: described X_Commits or Y_Commits
When adding 1 for the first time, do not perform the input of this 2-D data.
The recognition methods of trace ball in measuring instrument the most according to claim 1, it is characterised in that: described 2-D data is through judging and confirming
After can performing, if the absolute value of input numerical value is more than 6, then the absolute value of this numerical value adds 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410008651.5A CN103699244B (en) | 2014-01-08 | 2014-01-08 | The recognition methods of trace ball in measuring instrument |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410008651.5A CN103699244B (en) | 2014-01-08 | 2014-01-08 | The recognition methods of trace ball in measuring instrument |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103699244A CN103699244A (en) | 2014-04-02 |
| CN103699244B true CN103699244B (en) | 2016-08-17 |
Family
ID=50360796
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410008651.5A Expired - Fee Related CN103699244B (en) | 2014-01-08 | 2014-01-08 | The recognition methods of trace ball in measuring instrument |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103699244B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6097372A (en) * | 1997-06-05 | 2000-08-01 | Alps Electric Co., Ltd. | Data input device |
| US6825831B1 (en) * | 2002-10-07 | 2004-11-30 | Measurement Systems, Inc. | Position indicating device for harsh environments |
| CN1573803A (en) * | 2003-06-09 | 2005-02-02 | 微软公司 | Detection of a dwell gesture by examining parameters associated with pen motion |
| CN1934616A (en) * | 2004-01-29 | 2007-03-21 | 辛纳普蒂克斯有限公司 | Method and apparatus for producing one-dimensional signals with a two-dimensional pointing device |
| CN101833383A (en) * | 2009-03-09 | 2010-09-15 | 怡利电子工业股份有限公司 | Multiple variable speed touch pad cursor control method |
| CN102467285A (en) * | 2010-11-16 | 2012-05-23 | 义隆电子股份有限公司 | Method for continuing multi-finger gesture on touch pad |
| CN102473060A (en) * | 2010-05-18 | 2012-05-23 | 松下电器产业株式会社 | Coordinate determination device, coordinate determination method and coordinate determination program |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050231463A1 (en) * | 2004-04-19 | 2005-10-20 | Kye Systems Corp. | Input device with multi-directional scrolling wheel |
| US20090128507A1 (en) * | 2007-09-27 | 2009-05-21 | Takeshi Hoshino | Display method of information display device |
-
2014
- 2014-01-08 CN CN201410008651.5A patent/CN103699244B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6097372A (en) * | 1997-06-05 | 2000-08-01 | Alps Electric Co., Ltd. | Data input device |
| US6825831B1 (en) * | 2002-10-07 | 2004-11-30 | Measurement Systems, Inc. | Position indicating device for harsh environments |
| CN1573803A (en) * | 2003-06-09 | 2005-02-02 | 微软公司 | Detection of a dwell gesture by examining parameters associated with pen motion |
| CN1934616A (en) * | 2004-01-29 | 2007-03-21 | 辛纳普蒂克斯有限公司 | Method and apparatus for producing one-dimensional signals with a two-dimensional pointing device |
| CN101390034A (en) * | 2004-01-29 | 2009-03-18 | 辛纳普蒂克斯有限公司 | Method and apparatus for initiating one-dimensional signals with a two-dimensional pointing device |
| CN101833383A (en) * | 2009-03-09 | 2010-09-15 | 怡利电子工业股份有限公司 | Multiple variable speed touch pad cursor control method |
| CN102473060A (en) * | 2010-05-18 | 2012-05-23 | 松下电器产业株式会社 | Coordinate determination device, coordinate determination method and coordinate determination program |
| CN102467285A (en) * | 2010-11-16 | 2012-05-23 | 义隆电子股份有限公司 | Method for continuing multi-finger gesture on touch pad |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103699244A (en) | 2014-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101882042B (en) | Palm judgment method of capacitive touch screen | |
| CN102768595B (en) | A kind of method and device identifying touch control operation instruction on touch-screen | |
| EP2620839A3 (en) | Sensor managed apparatus, method and computer program product | |
| CN105589553A (en) | Gesture control method and system for intelligent equipment | |
| CN102117165A (en) | Touch input processing method and mobile terminal | |
| US20130293477A1 (en) | Electronic apparatus and method for operating the same | |
| CN102253774A (en) | Information input device and method with function of eliminating mutual interference among sensing signals | |
| CN104898880A (en) | Control method and electronic equipment | |
| CN105589588A (en) | Touch system, touch pen, touch device and control method thereof | |
| CN103809793B (en) | Information processing method and electronic device | |
| CN103699244B (en) | The recognition methods of trace ball in measuring instrument | |
| US9519367B2 (en) | Display apparatus and computer-readable non-transitory recording medium with display control program recorded thereon | |
| US20150091803A1 (en) | Multi-touch input method for touch input device | |
| CN104423657B (en) | The method and electronic equipment of information processing | |
| CN103257724A (en) | Non-contact mouse and operation method thereof | |
| US20150042586A1 (en) | Input Device | |
| CN203849701U (en) | Gesture control video monitoring system based on non-touch | |
| US20210326657A1 (en) | Image recognition method and device thereof and ai model training method and device thereof | |
| CN105468273A (en) | Method and apparatus used for carrying out control operation on device touch screen | |
| CN104516483A (en) | Gesture language input identification system based on motion-sensing technology | |
| KR101171239B1 (en) | Non-touch data input and operating method using image processing | |
| Weir | Machine learning models for uncertain interaction | |
| Ji et al. | A local fingertips movement and fingertips clustering based virtual keyboard adopting a camera | |
| CN102915149B (en) | touch control handheld device | |
| TWI552025B (en) | Pattern matching method and touch integrated circuit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160817 Termination date: 20170108 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |