CN105260041A - automatic mouse DPI adjusting method and speed-adaptive mouse - Google Patents

Abstract

The invention belongs to the field of computer signal input equipment, and discloses a mouse DPI automatic adjustment method and an adaptive speed mouse. The mouse DPI automatic adjustment method further sets the mouse DPI by constructing a task type ID and a DPI comparison relationship. The adaptive speed mouse includes an optical system, a microprocessor and a storage, and the microprocessor is bidirectionally connected with the optical system and the storage respectively. Under the detection of the mouse optical system, by identifying different task type IDs, the present invention automatically retrieves the task type ID and DPI comparison relationship in the storage, automatically changes the mouse DPI to adapt to different tasks, and does not require the user to manually adjust the DPI. The speed adaptive mouse provided by the invention can automatically select the appropriate mouse speed according to the task environment used by the user, and is suitable for various computers that can be connected with the mouse as an input device.

Description

A mouse DPI automatic adjustment method and speed adaptive mouse

technical field

The invention belongs to the field of computer signal input devices, in particular to a mouse whose speed can be self-adapted according to different tasks and a DPI automatic adjustment method thereof.

Background technique

With the development of mouse technology, especially the improvement of mouse performance, mouse DPI (DotsPerInch, the number of pixels per inch) has been significantly improved. When we need the mouse to move a fixed distance on the screen, the physical distance moved by a high-DPI mouse will be shorter than that of a low-DPI mouse. A high-DPI mouse can respond to smaller operations in the fastest time. However, today's users are faced with many different tasks when using a mouse, and these tasks may require the mouse to have a specific speed for different tasks. Some tasks require frequent large-scale movement of the mouse, which requires a faster mouse speed. Some tasks require subtle manipulation of the target, which requires slowing down to improve accuracy. In response to this problem, the invention patent with the application number 200710076440.5 proposes to preset different DPIs to allow users to manually adjust the mouse speed for different tasks, and this solution takes up the user's time when the user manually adjusts the DPI, thereby reducing the workload. efficiency. The invention patent with application number 200910221384.9 proposes a method of changing the mouse DPI according to the moving speed of the mouse. However, during the implementation of this method, the problem that the mouse DPI adjustment is not suitable for specific tasks is likely to occur, causing the pointer to easily cross the target, thus reduce operational efficiency.

Contents of the invention

The technical problem to be solved by the present invention is to provide a mouse DPI automatic adjustment method and a speed adaptive mouse that can identify different task types.

In order to solve the problems of the technologies described above, the present invention takes technical solutions as follows:

A mouse DPI automatic adjustment method, the steps are as follows:

S1. Preset an empty table in the mouse: task type ID and the most preferred DPI comparison table ID/DPI comparison table;

S2. Construct the ID/DPI comparison table, the specific method is as follows:

(1) Set the DPI of the mouse to the preset value DPI ₀₀ , and record the DPI value of the mouse as DPI _n1 at this time; calculate the task type ID at this time, record it as ID _n , n≥1:

ID=log ₂ (D/W+I)(1)

Among them, D is the distance between the click target and the current position of the mouse pointer; W is the width of the click target;

(2) The user drags the mouse and clicks the target according to the requirements of a certain task type, and calculates the operation efficiency y _n1 at this time:

$\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Among them, T1 is the time when the mouse clicks the target successfully, T2 is the time when the target appears, and _y is the operation efficiency _;

(3) Adjust the DPI value of the mouse to DPI _n2 . DPI _n2 is adjusted from DPI _n1 with a step of 100 and randomly adjusted positive and negative; the user drags the mouse to click the target again according to the task type requirements, and calculates the operation efficiency at this time y _n2 ; Adjust the DPI value of the mouse several times to obtain DPI _n3 , ... DPI _nj and their corresponding operating efficiency y _n3 , ... y _nj , (2≤j), and set DPI _n1 , DPI _n2 , DPI _n3 , ... DPI _nj , y _n1 , y _n2 , y _n3 , ... y _nj are substituted into the formula (3), and multiple quadratic function curves are obtained. A quadratic function curve fitting can obtain a fitting curve and a set of a and b values. When x=-b/2a, y has a maximum value, then the DPI value at this time makes the operation of the task type ID _n The highest efficiency, record the DPI value at this time as DPI _n ; store the ID _n value and DPI _n value in the ID/DPI comparison table;

y=ax ² +bx(3)

Among them, x is the DPI value;

According to different task types, step S2 is repeated until all task type ID _n values and their corresponding most preferred DPI _n values are stored in the ID/DPI comparison table;

S3, when carrying out actual task operation, at first utilize formula (1) to calculate task type ID, then select the ID _n value with this ID difference minimum from ID/DPI comparison table, and the DPI value of mouse is set to this ID _n The most preferred DPI _n corresponding to the value, so as to realize the automatic adjustment of the mouse DPI value;

After the ID/DPI comparison table is set, if there is a new task that needs to reset the ID/DPI comparison table, repeat step S2.

In the above method for automatically adjusting mouse DPI, the mouse DPI preset value DPI ₀₀ is set to 1000 in step S2.

In the above method for automatically adjusting mouse DPI, preferably j≤5 in step S2.

The present invention also provides a speed-adaptive mouse, which includes an optical system, a microprocessor, and a storage arranged inside the mouse, and the microprocessor is bidirectionally connected to the optical system and the storage, respectively;

The optical system is used to collect the distance D between the click target of the current mouse operation and the current position of the mouse pointer and the width W of the click target;

Described microprocessor is used for constructing ID/DPI comparison table, and when actual task operation, selects the DPI value that is most suitable for this task from ID/DPI comparison table, is set to the DPI value of mouse at this moment, thereby realizes mouse DPI value automatic adjustment of

The construction process of the ID/DPI comparison table is as follows:

(1) Preset an empty table in the mouse: task type ID and the most preferred DPI comparison table ID/DPI comparison table

(2) Set the DPI value of the mouse to the preset value DPI ₀₀ , and record the DPI value of the mouse as DPI _n1 at this time; calculate the task type ID at this time, record it as ID _n , n≥1:

ID=log ₂ (D/W+I)(1)

Among them, D is the distance between the click target and the current position of the mouse pointer; W is the width of the click target;

(3) The user drags the mouse and clicks the target according to the requirements of a certain task type, and calculates the operation efficiency y _n1 at this time:

$\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Among them, T1 is the time when the mouse clicks the target successfully, T2 is the time when the target appears, and _y is the operation efficiency _;

(4) Adjust the DPI value of the mouse to DPI _n2 . DPI _n2 is randomly adjusted by DPI _n1 with a step of 100. The user drags the mouse to click the target again according to the task type requirements, and calculates the operation efficiency at this time. y _n2 ; Adjust the DPI value of the mouse several times to obtain DPI _n3 , ... DPI _nj and their corresponding operating efficiency y _n3 , ... y _nj , (2≤j), and set DPI _n1 , DPI _n2 , DPI _n3 , ... DPI _nj , y _n1 , y _n2 , y _n3 , ... y _nj are substituted into the formula (3), and multiple quadratic function curves are obtained. A quadratic function curve fitting can obtain a fitting curve and a set of a and b values. When x=-b/2a, y has a maximum value, then the DPI value at this time makes the operation of the task type ID _n The highest efficiency, record the DPI value at this time as DPI _n ; store the ID _n value and DPI _n value in the ID/DPI comparison table;

y=ax ² +bx(3)

Among them, x is the DPI value;

According to different task types, repeat steps (2) to (4), until all task type ID _n values and their corresponding optimal DPI _n values are stored in the ID/DPI comparison table;

When described in the actual task operation, the process of selecting the DPI value most suitable for the task from the ID/DPI comparison table is as follows: first utilize the formula (1) to calculate the task type ID, and then select the ID that matches the ID from the ID/DPI comparison table. The ID _n value with the smallest difference, and the DPI value of the mouse is set to the most preferred DPI _n corresponding to the ID _n value;

After the ID/DPI comparison table is set, if there is a new task that needs to reset the ID/DPI comparison table, repeat steps (2) to (4), and the new task type ID _n value and its corresponding optimal DPI _n The value is stored in the ID/DPI comparison table;

The storage is used to store the ID/DPI comparison table.

In the aforementioned speed-adaptive mouse, the preset value of the mouse DPI is 1000.

Beneficial effects of the present invention:

The present invention automatically selects the DPI value according to the task environment used by the user, that is, automatically selects the appropriate mouse speed to meet the user's needs for different tasks, can improve the operation accuracy of specific tasks, reduce operation time, and reduce user movement at the same time. The physical distance of the mouse relieves fatigue. The invention is suitable for various computers that can be connected with a mouse as an input device.

detailed description

The present invention is described in further detail below, it is necessary to point out here that the following specific embodiments are only used to further illustrate the present invention, and cannot be interpreted as limiting the protection scope of the present invention. Contents Some non-essential improvements and adjustments are made to the present invention.

The invention provides a mouse DPI automatic adjustment method, comprising the following steps:

S1. Preset an empty table in the mouse: task type ID and the most preferred DPI comparison table ID/DPI comparison table;

S2. Construct the ID/DPI comparison table, the specific method is as follows:

(1) Set the DPI of the mouse to the preset value DPI _00. At this time, the DPI value of the mouse is recorded as DPI _n1 ; when the user clicks the mouse, calculate the task type ID at this time, and record it as ID _n . The type ID is calculated as follows:

ID=log ₂ (D/W+1)(1)

Among them, D is the distance between the click target and the current position of the mouse pointer; W is the width of the click target, and the width of the click target specifically refers to abstracting the target into a circle, and the diameter of the circle is the width of the click target;

(2) The user drags the mouse and clicks the target according to the requirements of a certain task type, and calculates the operation efficiency y _n1 at this time:

$\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Among them, y is the operation efficiency, T ₁ is the time when the mouse clicks the target successfully, and T ₂ is the time when the target appears;

(3) Through experiments, it is found that under a certain task type, with the increase of the mouse DPI value, the mouse operation efficiency has a law that first increases and then decreases, which can be described as:

y=ax ² +bx(3)

Among them, a<0, x is the DPI value, and y is the operating efficiency;

For the task type ID _n , that is, under the same task type, adjust the DPI value of the mouse to DPI _n2 . The DPI _n2 is adjusted from DPI _n1 . Generally, the step is 100, and the positive and negative adjustments are randomly made. The user again according to the task type It is required to drag the mouse to click on the target, and calculate the operating efficiency y _n2 at this time; adjust the DPI value of the mouse several times, the adjustment method is the same as before, and the latter DPI value is obtained by adjusting the previous DPI value through the step length adjustment, and obtain DPI _n3 , ...... DPI _nj and its corresponding operating efficiency y _n3 , ... y _nj , (where j represents the number of times to adjust the mouse DPI, generally preferably 2≤j≤5), the DPI _n1 , DPI _n2 , DPI _n3 , ... DPI _nj , y _n1 , y _n2 , y _n3 , ... y _nj are substituted into the formula (3), and multiple quadratic function curves are obtained. A quadratic function curve fitting can obtain a fitting curve and a set of a and b values. When x=-b/2a, y has a maximum value, then the DPI value at this time makes the operation of the task type ID _n The efficiency is the highest, and the DPI value at this time is recorded as DPI _n ; and the ID _n value and DPI _n value are stored in the task type ID and DPI comparison table.

According to different task types, step S2 is repeated until all task type ID _n values and their corresponding most preferred DPI _n values are stored in the ID/DPI comparison table;

S3, when carrying out actual task operation, at first utilize formula (1) to calculate task type ID, then select the ID _n value with this ID difference minimum from ID/DPI comparison table, and the DPI value of mouse is set to this ID _n The most preferred DPI _n corresponding to the value, so as to realize the automatic adjustment of the mouse DPI value;

After the ID/DPI comparison table is set, if there is a new task that needs to reset the ID/DPI comparison table, repeat step S2.

In practical applications, the general mouse DPI preset value DPI ₀₀ is set to 1000.

In addition, the present invention also provides a speed adaptive mouse, in which an optical system, a microprocessor, and a storage are arranged inside the mouse, and the microprocessor is bidirectionally connected with the optical system and the storage; A connection means that both parties to the connection can send or receive data to each other.

Among them, the functions of optical system, microprocessor and storage are as follows:

The optical system is used to collect the distance D between the click target of the current mouse operation and the current position of the mouse pointer and the width W of the click target;

Described microprocessor is used for constructing ID/DPI comparison table, and when actual task operation, selects the DPI value that is most suitable for this task from ID/DPI comparison table, is set to the DPI value of mouse at this moment, thereby realizes mouse DPI value automatic adjustment.

The construction process of the ID/DPI comparison table is as follows:

(1) Preset an empty table in the mouse: task type ID and the most preferred DPI comparison table ID/DPI comparison table

(2) Set the DPI value of the mouse to the preset value DPI ₀₀ , and record the DPI value of the mouse as DPI _n1 at this time; calculate the task type ID at this time, record it as ID _n , n≥1:

ID=log ₂ (D/W+1)(1)

Among them, D is the distance between the click target and the current position of the mouse pointer; W is the width of the click target;

(3) The user drags the mouse and clicks the target according to the requirements of a certain task type, and calculates the operation efficiency y _n1 at this time:

$\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Among them, T1 is the time when the mouse clicks the target successfully, T2 is the time when the target appears, and _y is the operation efficiency _;

(4) Adjust the DPI value of the mouse to DPI _n2 . DPI _n2 is randomly adjusted by DPI _n1 with a step of 100. The user drags the mouse to click the target again according to the task type requirements, and calculates the operation efficiency at this time. y _n2 ; Adjust the DPI value of the mouse several times to obtain DPI _n3 , ... DPI _nj and their corresponding operating efficiency y _n3 , ... y _nj , (2≤j), and set DPI _n1 , DPI _n2 , DPI _n3 , ... DPI _nj , y _n1 , y _n2 , y _n3 , ... y _nj are substituted into the formula (3), and multiple quadratic function curves are obtained. A quadratic function curve fitting can obtain a fitting curve and a set of a and b values. When x=-b/2a, y has a maximum value, then the DPI value at this time makes the operation of the task type ID _n The highest efficiency, record the DPI value at this time as DPI _n ; store the ID _n value and DPI _n value in the ID/DPI comparison table;

y=ax ² +bx(3)

Among them, x is the DPI value;

According to different task types, repeat steps (2) to (4), until all task type ID _n values and their corresponding optimal DPI _n values are stored in the ID/DPI comparison table;

When described in the actual task operation, the process of selecting the DPI value most suitable for the task from the ID/DPI comparison table is as follows: first utilize the formula (1) to calculate the task type ID, and then select the ID that matches the ID from the ID/DPI comparison table. The ID _n value with the smallest difference, and the DPI value of the mouse is set to the most preferred DPI _n corresponding to the ID _n value;

After the ID/DPI comparison table is set, if there is a new task that needs to reset the ID/DPI comparison table, repeat steps (2) to (4), and the new task type ID _n value and its corresponding optimal DPI _n The value is stored in the ID/DPI comparison table;

The storage is used to store the ID/DPI comparison table.

Claims (5)

1. a mouse DPI automatic adjusting method, step is as follows:

S1, in mouse, preset an empty table: task type ID and most preferably the DPI table of comparisons ID/DPI table of comparisons;

S2, the structure ID/DPI table of comparisons, concrete grammar is as follows:

(1) DPI of mouse is set to preset value DPI ₀₀, now the DPI value of mouse is designated as DPI _n1; Calculate task type ID now, be designated as ID _n, n>=1:

ID＝log ₂(D/W+1)(1)

Wherein, D is the distance clicking target and mouse pointer current location; W is the width clicking target;

(2) according to a certain task type, user requires that dragging mouse clicks target, calculates operating efficiency y now _n1:

$y=\frac{1}{T_1-T_2}---\left(2\right)$

Wherein, T ₁that mouse successfully clicks object time, T ₂be that target goes out now, y is operating efficiency;

(3) the DPI value adjusting mouse is DPI _n2, DPI _n2by DPI _n1with 100 for stepping, random positive negative justification; According to this task type, user requires that dragging mouse clicks target, calculates operating efficiency y now again _n2; Adjust the DPI value of mouse several times more, obtain DPI _n3... DPI _njand the operating efficiency y of correspondence _n3... y _nj, (2≤j), by DPI _n1, DPI _n2, DPI _n3... DPI _nj, y _n1, y _n2, y _n3... y _njsubstitute into formula (3), obtain many quadratic function curves, by many quadratic function curve matchings, can obtain a matched curve and one group of a, b value, as x=-b/2a, y has maximal value, then DPI value now makes this task type ID _noperating efficiency the highest, DPI value is now denoted as DPI _n; By ID _nvalue, DPI _nvalue is stored in the ID/DPI table of comparisons;

y＝ax ²+bx(3)

Wherein, x is DPI value;

According to different task type, repeat step S2, until by whole task type ID _nthe most preferably DPI of value and correspondence thereof _nvalue is stored in the ID/DPI table of comparisons;

S3, when carrying out actual task operation, first utilize formula (1) calculation task type i D, then select from the ID/DPI table of comparisons and the minimum ID of this ID difference _nvalue, and the DPI value of mouse is set to this ID _nthe most preferably DPI that value is corresponding _n, thus realize the automatic adjustment of mouse DPI value;

After the ID/DPI table of comparisons is provided with, if when having new task to need to reset the ID/DPI table of comparisons, repeat step S2.

2. mouse DPI automatic adjusting method according to claim 1, is characterized in that: mouse DPI preset value DPI in step S2 ₀₀be set to 1000.

3. mouse DPI automatic adjusting method according to claim 1, is characterized in that: j≤5 in step S2.

4. a speed adaptive mouse, is characterized in that, comprises the optical system, microprocessor, the reservoir that are arranged on mouse inside, and described microprocessor is bi-directionally connected with optical system, reservoir respectively;

Described optical system is for gathering the distance D of click target and the mouse pointer current location of current mouse operation and clicking the width W of target;

Described microprocessor for building the ID/DPI table of comparisons, and when actual task operates, selects the DPI value of this task the most applicable from the ID/DPI table of comparisons, is set to mouse DPI value now, thus realizes the automatic adjustment of mouse DPI value;

The building process of the described ID/DPI table of comparisons is as follows:

(1) in mouse, an empty table is preset: task type ID and most preferably the DPI table of comparisons ID/DPI table of comparisons

(2) the DPI value of mouse is set to preset value DPI ₀₀, now the DPI value of mouse is designated as DPI _n1; Calculate task type ID now, be designated as ID _n, n>=1:

ID＝log ₂(D/W+1)(1)

Wherein, D is the distance clicking target and mouse pointer current location; W is the width clicking target;

(3) according to a certain task type, user requires that dragging mouse clicks target, calculates operating efficiency y now _n1:

$y=\frac{1}{T_1-T_2}---\left(2\right)$

Wherein, T ₁that mouse successfully clicks object time, T ₂be that target goes out now, y is operating efficiency;

(4) the DPI value adjusting mouse is DPI _n2, DPI _n2by DPI _n1with 100 for stepping, random positive negative justification; According to this task type, user requires that dragging mouse clicks target, calculates operating efficiency y now again _n2; Adjust the DPI value of mouse several times more, obtain DPI _n3... DPI _njand the operating efficiency y of correspondence _n3... y _nj, (2≤j), by DPI _n1, DPI _n2, DPI _n3... DPI _nj, y _n1, y _n2, y _n3... y _njsubstitute into formula (3), obtain many quadratic function curves, by many quadratic function curve matchings, can obtain a matched curve and one group of a, b value, as x=-b/2a, y has maximal value, then DPI value now makes this task type ID _noperating efficiency the highest, DPI value is now denoted as DPI _n; By ID _nvalue, DPI _nvalue is stored in the ID/DPI table of comparisons;

y＝ax ²+bx(3)

Wherein, x is DPI value;

According to different task type, repeat step (2) ~ (4), until by whole task type ID _nthe most preferably DPI of value and correspondence thereof _nvalue is stored in the ID/DPI table of comparisons;

Described when actual task operates, from the ID/DPI table of comparisons, select the process of the DPI value of this task the most applicable as follows: first utilize formula (1) calculation task type i D, then from the ID/DPI table of comparisons, select the ID minimum with this ID difference _nvalue, and the DPI value of mouse is set to this ID _nthe most preferably DPI that value is corresponding _n;

After the ID/DPI table of comparisons is provided with, if when having new task to need to reset the ID/DPI table of comparisons, repeat step (2) ~ (4), by this new task type i D _nthe most preferably DPI of value and correspondence thereof _nvalue is stored in the ID/DPI table of comparisons;

Described reservoir is for storing the ID/DPI table of comparisons.

5. speed adaptive mouse according to claim 4, is characterized in that: mouse DPI preset value is set to 1000.