CN110347436B - Method and system for individually adjusting mouse moving speed - Google Patents
Method and system for individually adjusting mouse moving speed Download PDFInfo
- Publication number
- CN110347436B CN110347436B CN201910632380.3A CN201910632380A CN110347436B CN 110347436 B CN110347436 B CN 110347436B CN 201910632380 A CN201910632380 A CN 201910632380A CN 110347436 B CN110347436 B CN 110347436B
- Authority
- CN
- China
- Prior art keywords
- mouse
- user
- moving speed
- speed
- computer
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 241000699666 Mus <mouse, genus> Species 0.000 claims description 230
- 230000008569 process Effects 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 10
- 241000699660 Mus musculus Species 0.000 claims description 7
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000013135 deep learning Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000003044 adaptive effect Effects 0.000 abstract description 2
- 230000006399 behavior Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 241000699670 Mus sp. Species 0.000 description 2
- 101100060131 Mus musculus Cdk5rap2 gene Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004883 computer application Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/4401—Bootstrapping
- G06F9/4411—Configuring for operating with peripheral devices; Loading of device drivers
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
- Position Input By Displaying (AREA)
Abstract
The invention provides a method and a system for individually adjusting the moving speed of a mouse, wherein when a user operates on a first computer, a mouse pad identifies the user according to arm pressure or palm print information; adjusting the mouse moving speed to adapt to the user, using the speed of the mouse, and obtaining an adjusted mouse moving speed cpi value; recording the value of the mouse moving speed cpi of the user when the user uses the computer for many times on different dates or different time periods, and counting the mouse moving speed commonly used by the user; when the user operates on the second computer, the mouse moving speed of the second computer is automatically modified according to the mouse moving speed commonly used by the user, so that different users can rapidly and individually obtain the mouse moving speed adaptive to the use habits of the users. The invention can automatically adjust the moving speed of the computer mouse; the user does not need to set the mouse moving speed by himself each time. The time of the user is saved, and the use experience of the user is optimized.
Description
Technical Field
The invention relates to the field of computer application technology and data processing, in particular to a method and a system for individually calibrating the moving speed of a mouse.
Background
Many users use more than one home computer, for example, a home computer may be used by fathers, children, and grandparents. There are also many people in a company. A problem that arises in this case is that the habit of the user on the speed of mouse movement is not consistent. Some prefer to move faster and some prefer to move slower. If the adjustment is manually performed each time, a lot of troubles are caused to the user.
The problem can also occur when a user owns a plurality of computers, the moving speed of the mouse is different for different computers, the user experience is influenced, the user can adapt to the new speed again, or the user can adjust the mouse every time, a lot of troubles are caused, and the user experience is not good. Although some mice have speed adjustment functions or buttons, not all users know how to adjust the movement speed on the mouse, and most mice do not have buttons to adjust the movement speed. Therefore, it would be a useful function if the mouse pad could automatically calibrate the mouse moving speed on one computer according to different users, or could change the mouse moving speed on different computers according to the user's usage habits.
Disclosure of Invention
The invention provides a method and a system for individually adjusting the moving speed of a mouse, which mainly comprise the following steps:
when the user operates on the first computer,
the mouse pad is provided with a pressure sensor, and a mouse user is identified according to the arm pressure;
when the identification fails, the mouse pad identifies the user according to the user palm print information;
identifying whether the mouse moves too fast or slowly in the process of using the mouse by the user;
adjusting the mouse moving speed to adapt to the speed of the user using the mouse, and obtaining an adjusted mouse moving speed cpi value;
recording the value of the mouse moving speed cpi when the user uses the computer for many times on different dates or different time periods, and counting the mouse moving speed which is frequently used by the user;
when the user is operating on the second computer,
according to the mouse moving speed commonly used by the user, whether the mouse moving speed is matched with the mouse moving speed of a second computer or not is judged;
when the mouse moving speed which is frequently used by the user is not matched with the mouse moving speed of the second computer, the mouse moving speed of the second computer is automatically modified, so that different users can rapidly and individually obtain the mouse moving speed which is adaptive to the using habits of the users.
Further optionally, in the method as described above, the mouse pad is equipped with a pressure sensor, and identifies a mouse user according to arm pressure, which mainly includes:
the mouse pad pressure sensors are arranged in four directions of the south, the east and the west of the mouse pad;
and identifying different user characteristics according to different pressure of the user arm on the mouse pad, so as to identify the user.
Further optionally, in the method as described above, the identifying, by the mouse pad, the user according to the user palmprint information mainly includes:
the mouse pad regularly acquires palmprint information when a user holds the mouse as palmprint training data;
performing wavelet transformation according to the palm print training data to acquire local detail information of the image; taking the palm print local detail information as the input of a deep belief network, training through a deep learning algorithm to obtain the optimal network parameters, and finally carrying out classification prediction; and obtaining the user identity information of the palm print.
Further optionally, in the method as described above, the identifying whether the mouse moves too fast or slowly during the process of using the mouse by the user mainly includes:
judging whether the mouse moving process occurs when the user clicks the target object: the target object can be clicked only by moving for many times, so that the current mouse moving speed is inferred to be too low;
when judging that the user clicks the target object, the process of mouse movement: whether the mouse moves beyond the target object and then moves back frequently occurs, so that the current mouse moving speed is inferred to be too high;
the judgment is to obtain the moving track of the mouse on the computer screen through a self-contained system api of a windows system or a mac system and obtain a detection result;
further optionally, in the method as described above, the adjusting the mouse moving speed to adapt to the speed of the user using the mouse mainly includes:
adjusting the mouse speed, wherein when the user needs to move for many times to click the target object in the mouse operation process, the system adjusts the mouse moving speed; when the mouse moves beyond the target object and then moves back in the process of operating the mouse by the user, the system slows down the moving speed of the mouse. When the two phenomena are not generated in the process of operating the mouse by the user after the preset times of adjustment, recording the cpi value of the moving speed of the mouse used by the user;
further optionally, in the method as described above, the recording a value of a mouse movement speed cpi of the user using the computer for multiple times on different dates or different time periods, and counting mouse movement speeds commonly used by the user mainly includes:
detecting the moving speed cpi value of the mouse used by the user for many times, and counting the detection result;
the statistics comprises sequencing the mouse moving speed commonly used by the user; acquiring the moving speed of a mouse which is most frequently used by a user ranked at the first place; and acquiring the mouse moving speed which is arranged in the preset name and is frequently used by the user, and taking the mouse moving speed as the common mouse moving speed which is acceptable by the user.
Further optionally, in the method as described above, when the mouse moving speed frequently used by the user does not match the mouse moving speed of the second computer, automatically modifying the mouse moving speed of the second computer mainly includes:
when a user arrives at a second computer, after a mouse pad detects and identifies the identity of the user, detecting whether the mouse moving speed of the current computer is the mouse moving speed acceptable by the user;
if so, operating the mouse according to the original speed;
if not, automatically adjusting the mouse moving speed according to the mouse speed which is most frequently used by the user.
The invention discloses a method and a system for individually calibrating the moving speed of a mouse, wherein the system comprises the following steps:
the user identification module based on the arm pressure is used for acquiring the arm pressure information of a user and acquiring the identity of the user;
the palm print-based user identification module is used for identifying the identity of the user based on the palm print information when the arm pressure cannot identify the identity of the user;
the user mouse use detection module is used for detecting the mouse use condition of a user;
the mouse use adjusting module is used for adjusting the mouse moving speed of a user according to the use condition of the user and recording the commonly used mouse moving speed of the user for many times;
the personalized adjusting module is used for automatically adjusting on a plurality of computers according to the most common mouse moving speeds of different users;
the technical scheme provided by the embodiment of the invention can have the following beneficial effects:
when one computer has a plurality of users or one user has a plurality of computers, the invention can automatically adjust the moving speed of the computer mouse. The mouse moving speed setting method is suitable for personalized use habits of different users, and the users do not need to set the mouse moving speed by themselves each time. The time of the user is saved, and the use experience of the user is optimized.
Drawings
FIG. 1 is a flowchart illustrating a method for individually adjusting a moving speed of a mouse according to an embodiment of the present invention;
FIG. 2 is a block diagram of an embodiment of a system for personalized mouse movement speed adjustment according to the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flowchart of a method for individually adjusting a mouse moving speed according to the present invention. As shown in fig. 1, the method for individually adjusting the moving speed of the mouse in this embodiment may specifically include the following steps:
Mouse pad pressure sensor installs four directions in the southeast and northwest of mouse pad, avoids because the mouse pad places the difference of direction, and it is inhomogeneous to lead to the pressure.
When the pressure sensor of the mouse pad can not identify the user, the user palm print collected in advance can be adopted to identify the identities of different users. Comprises extracting palmprint information of the thenar part of the user holding the mouse. After people hold the mouse, partial palm prints can contact the mouse pad, and the contacted palm prints can be extracted according to the partial contact. The hand is constantly moving on the mouse pad, and the palm print pulled by the muscle changes, which brings difficulty to the recognition of the palm print. However, because of long-time mouse operation, palm print data can be continuously recorded, and the system acquires palm print information of the user at regular time, so that enough data are provided for training a palm print recognition classifier. Because most of the palm prints are shielded by the mouse and only a small part of the palm prints are recognized by the mouse pad, the palm print image is firstly subjected to lifting wavelet transformation to obtain local detail information of the image, then the local detail information is used as the input of the deep belief network, then the optimal network parameters are obtained through deep learning algorithm training, and finally classification prediction is carried out.
And 103, identifying the condition that the user uses the mouse. The method mainly comprises the steps of identifying and recording the mouse using behaviors of a user. And detecting whether the mouse used by the user is improper or not according to the use condition of the user. The method comprises the following steps of detecting whether the mouse has the following two phenomena of inappropriateness for a target object to be clicked, the moving distance of the mouse and the target object to be clicked: first, when a user clicks on an object, the mouse moves to the target object after moving for multiple times. This indicates that the current mouse movement speed is too slow. The second case is that the mouse reaches the clicked object at one time, and sometimes the mouse moves beyond the object and needs to move back, which indicates that the mouse moves too fast. The detection result can be obtained by a system api of the windows system or the mac system. For example, when the coordinates of the target object are (400 ). The user mouse coordinates are (100 ). When the movement is to be passed, the movement is carried out to (500, 600), and the movement is carried out to (400 ) again. The behavior of the user can be known through recording and judging the mouse track, so that whether the user is suitable for the current mouse moving speed of the computer or not is judged. Herein again, a mouse also refers to a cursor that the mouse displays on the screen.
And 104, acquiring and adjusting the moving speed of the mouse. The mouse movement speed can be represented by cpi. cpi is an abbreviation for count per inch, meaning the sample rate per inch. For example, when we move the mouse an inch to the left, a 400cpi mouse will signal the computer 400 "left moves" when the mouse cursor on the screen moves 400 units left. And the 800cpi mouse is sent 800 times. The cpi value can be obtained by system detection, and the moving speed of the mouse used by different users on the current computer can be obtained by recording the cpi values of the mouse of different users. According to the using habit of the user step in the step 3, the user can know whether the current mouse using condition is to accelerate the moving speed or to decelerate the moving speed. Adjusting the speed of the mouse according to the using habit of the user, and if the moving speed of the mouse is too high, slowing down the speed; if the moving speed is too slow, the speed is adjusted to be fast. The adjustment effect can be obtained by calling the api function of the windows system. And (4) when the user does not have the two phenomena which are not suitable in the step 3 after slowly adjusting for many times, recording the cpi value of the moving speed of the user using the mouse. The adjustment at this stage is a process of learning the usage habits of the user, and may not be necessarily accurate every time, and the user needs to be continuously statistically analyzed for the usage behaviors at the later stage. The adjusting process also solves the problem of personalized automatic adjustment of the moving speed of the mouse of different users on the same computer.
105, recording the mouse moving speed of the user when the user uses the computer for multiple times, and acquiring the mouse moving speed commonly used by the user; the user uses the computer for many times refers to the mouse moving speed cpi value obtained after the mouse is adjusted when the user uses the computer on different dates or different time periods. Recording the cpi value of each user using the current computer and using a mouse; detecting the moving speed of the mouse used by the user for many times, and counting the detection result; the statistics comprises sequencing the mouse moving speed commonly used by the user; and acquiring the mouse moving speed which is most frequently used by the first-ranked user and the mouse moving speed which is frequently used by the user within the preset ranking as the common mouse moving speed which is acceptable by the user.
Step 106 is to perform personalized adjustments to the mouse movement speed of the user. When the user goes to another computer, the mouse pad detects whether the speed of the mouse moved by the user changes. If so, detecting whether the speed is the mouse moving speed acceptable by the user, and if so, operating the mouse according to the original speed. Because if the current mouse moving speed is the mouse moving speed frequently used by the user, the use of the user is not influenced, and the user experience is not reduced. So that no speed adjustment of the mouse is possible. But if the mouse movement speed is not acceptable to the user, the adjustment is made according to the mouse speed most commonly used by the user. The most common mouse speed is adjusted, so that the best mouse speed can be obtained in one step, and the method is more convenient than the method in the step 104. The method for implementing adjustment can send a request for changing the moving speed of the mouse to the computer through the wireless or wired connection of the mouse pad and the computer, and the computer changes the moving speed of the mouse according to the moving speed request. The recording and storage of the mouse data commonly used by the user can be stored in the storage device of the intelligent mouse pad, and can also be stored in a distributed manner in a computer commonly used by a plurality of users. Therefore, the optimal personalized mouse moving speed can be obtained according to the using habits of the user.
Through the description of the above embodiments, it is clear to those skilled in the art that the above embodiments may be implemented by software, or by software plus a necessary general hardware platform. With this understanding, the technical solutions of the embodiments can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods according to the embodiments of the present invention.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (5)
1. A method for individually adjusting the moving speed of a mouse is characterized by comprising the following steps:
when a user operates on the first computer, the mouse pad is provided with a pressure sensor, and the mouse user is identified according to the arm pressure;
when the identification fails, the mouse pad identifies the user according to the user palm print information;
identifying whether the mouse moves too fast or slowly in the process of using the mouse by the user;
adjusting the mouse moving speed to adapt to the speed of the user using the mouse, and obtaining an adjusted mouse moving speed cpi value; the adjusting the moving speed of the mouse to adapt to the speed of the user using the mouse comprises:
when a user needs to move for many times to click a target object in the mouse operation process, the mouse moving speed is increased;
when the mouse moves to exceed the target object and then moves back in the process of operating the mouse by the user, the moving speed of the mouse is slowed down; when the two phenomena are not generated in the process of operating the mouse by the user after the preset times of adjustment, the adjustment is completed; recording the movement speed cpi value of the mouse when the user uses the computer for many times on different dates or different time periods, detecting the movement speed of the user using the mouse for many times, and counting the detection result; the statistics comprises sequencing the mouse moving speed commonly used by the user; acquiring the moving speed of the mouse which is most frequently used by the first user and the moving speed of the mouse which is frequently used by the user in the preset ranking as the moving speed of the common mouse which is acceptable by the user;
when a user operates on the second computer, the mouse pad detects whether the speed of the user for moving the mouse changes;
if the mouse is changed, acquiring the acceptable mouse moving speed of the user corresponding to the user;
detecting whether the speed is the mouse moving speed acceptable by the user, if so, operating the mouse according to the original speed;
and if the mouse movement speed is not acceptable to the user, adjusting according to the mouse speed which is most frequently used by the user.
2. The method of claim 1, wherein the mouse pad is equipped with a pressure sensor to identify a mouse user based on arm pressure, comprising:
the mouse pad pressure sensors are arranged in four directions of the south, the east and the west of the mouse pad;
and identifying different user characteristics according to different pressure of the user arm on the mouse pad, and performing user identification.
3. The method of claim 1, wherein the mouse pad identifies the user based on user palmprint information, comprising:
the mouse pad regularly acquires palmprint information when a user holds the mouse as palmprint training data;
performing wavelet transformation according to the palm print training data to acquire local detail information of the image; taking the palm print local detail information as the input of a deep belief network, training through a deep learning algorithm to obtain the optimal network parameters, and finally carrying out classification prediction; and obtaining the user identity information of the palm print.
4. The method of claim 1, wherein the identifying whether the mouse is moving too fast or slowly during the process of using the mouse by the user comprises:
judging whether the mouse moving process occurs when the user clicks the target object: the target object can be clicked only by moving for many times, so that the current mouse moving speed is inferred to be too low;
when judging that the user clicks the target object, the process of mouse movement: whether the mouse moves beyond the target object and then moves back frequently occurs, so that the current mouse moving speed is inferred to be too high;
and the judgment is to obtain the moving track of the mouse on the computer screen through a self-contained system api of the windows system or the mac system and obtain a detection result.
5. A system for personalized adjustment of mouse movement speed, the system comprising:
the user identification module based on the arm pressure is used for acquiring the arm pressure information of the user and acquiring the identity of the user;
the palm print-based user identification module is used for identifying the identity of the user based on the palm print information when the arm pressure cannot identify the identity of the user;
the user mouse use detection module is used for detecting the mouse use condition of a user;
the mouse use adjusting module is used for adjusting the mouse moving speed according to the use condition of the user, recording the commonly used mouse moving speed of the user for many times, and identifying whether the mouse moves too fast or slowly in the mouse using process of the user; the mouse moving speed is also adjusted to adapt to the speed of the user using the mouse, and the adjusted mouse moving speed cpi value is obtained;
the mouse use adjustment module is further configured to:
when a user needs to move for many times to click a target object in the mouse operation process, the mouse moving speed is increased;
when the mouse moves to exceed the target object and then moves back in the process of operating the mouse by the user, the moving speed of the mouse is slowed down;
when the two phenomena are not generated in the process of operating the mouse by the user after the preset times of adjustment, the adjustment is completed;
the mouse use adjusting module is also used for recording the mouse moving speed cpi value when the user uses the computer for many times on different dates or different time periods, detecting the moving speed of the user using the mouse for many times, and counting the detection result; the statistics comprises sequencing the mouse moving speed commonly used by the user; acquiring the moving speed of the mouse which is most frequently used by the first user and the moving speed of the mouse which is frequently used by the user in the preset ranking as the moving speed of the common mouse which is acceptable by the user;
the personalized adjusting module is used for automatically adjusting on a plurality of computers according to the most common mouse moving speeds of different users;
the personalized adjusting module is used for detecting whether the speed of the mouse moved by the user changes or not by the mouse pad when the user operates on the second computer;
if the mouse is changed, acquiring the acceptable mouse moving speed of the user corresponding to the user;
detecting whether the speed is the acceptable mouse moving speed of the user, if so, operating the mouse according to the original speed;
and if the mouse movement speed is not acceptable to the user, adjusting according to the mouse speed which is most frequently used by the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910632380.3A CN110347436B (en) | 2019-07-13 | 2019-07-13 | Method and system for individually adjusting mouse moving speed |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910632380.3A CN110347436B (en) | 2019-07-13 | 2019-07-13 | Method and system for individually adjusting mouse moving speed |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110347436A CN110347436A (en) | 2019-10-18 |
| CN110347436B true CN110347436B (en) | 2022-12-20 |
Family
ID=68175173
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910632380.3A Active CN110347436B (en) | 2019-07-13 | 2019-07-13 | Method and system for individually adjusting mouse moving speed |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110347436B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112650402B (en) * | 2020-12-25 | 2021-08-24 | 广州市博大电子设备有限公司 | Control method of mouse and application thereof |
| CN112684920B (en) * | 2020-12-31 | 2022-03-08 | 广州竟成塑胶模具有限公司 | Self-adaptive adjusting method of mouse DPI and application thereof |
| CN116501183B (en) * | 2023-06-28 | 2024-03-19 | 深圳锐爱电子有限公司 | Mouse displacement regulation and control method and system based on multi-sensor fusion |
| CN118133362B (en) * | 2024-03-28 | 2024-10-01 | 深圳市华宇鸿信电子科技有限公司 | Verification system and method for AI intelligent mouse |
| CN118965327B (en) * | 2024-10-15 | 2024-12-24 | 苏州欧伏安传感技术研究所有限公司 | A computer security management method based on human physiological sensor mouse |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SG44879A1 (en) * | 1993-06-14 | 1997-12-19 | Philips Electronics Nv | Speed adaptive positioning of cursor in cd-i |
| CN201804307U (en) * | 2010-09-28 | 2011-04-20 | 深圳市瑞高欣实业有限公司 | Mouse facilitating speed adjustment |
| TW201201058A (en) * | 2010-06-23 | 2012-01-01 | Formosa Ind Computing Inc | Cursor movement speed adjustment method for screen cursor controller |
| TW201416854A (en) * | 2012-09-26 | 2014-05-01 | Hon Hai Prec Ind Co Ltd | System and method for adjusting a speed of a cursor of a mouse |
| CN104484115A (en) * | 2014-12-01 | 2015-04-01 | 林志均 | Mouse gesture recognition method |
| CN105278706A (en) * | 2015-10-23 | 2016-01-27 | 刘明雄 | Touch input control system of touch mouse and control method of touch input control system |
| CN109782930A (en) * | 2019-01-17 | 2019-05-21 | 珠海恒宇新科技有限公司 | Pressure x velocity mouse and its control method |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103677593A (en) * | 2012-09-04 | 2014-03-26 | 鸿富锦精密工业（深圳）有限公司 | Method and system for automatically adjusting mouse moving speed |
| CN104462906A (en) * | 2014-12-19 | 2015-03-25 | 中国农业银行股份有限公司 | Mouse with information collection function and identity recognition method and system |
| CN105260041A (en) * | 2015-09-30 | 2016-01-20 | 中国航天员科研训练中心 | automatic mouse DPI adjusting method and speed-adaptive mouse |
| CN105867661B (en) * | 2016-04-29 | 2019-02-15 | 浙江东吴宏伟网络技术有限公司 | A kind of mouse and its application method based on fuzzy personal recognition |
| CN107960124B (en) * | 2016-05-16 | 2021-02-26 | 深圳维盛半导体科技有限公司 | Mouse and method for automatically adjusting DPI |
-
2019
- 2019-07-13 CN CN201910632380.3A patent/CN110347436B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SG44879A1 (en) * | 1993-06-14 | 1997-12-19 | Philips Electronics Nv | Speed adaptive positioning of cursor in cd-i |
| TW201201058A (en) * | 2010-06-23 | 2012-01-01 | Formosa Ind Computing Inc | Cursor movement speed adjustment method for screen cursor controller |
| CN201804307U (en) * | 2010-09-28 | 2011-04-20 | 深圳市瑞高欣实业有限公司 | Mouse facilitating speed adjustment |
| TW201416854A (en) * | 2012-09-26 | 2014-05-01 | Hon Hai Prec Ind Co Ltd | System and method for adjusting a speed of a cursor of a mouse |
| CN104484115A (en) * | 2014-12-01 | 2015-04-01 | 林志均 | Mouse gesture recognition method |
| CN105278706A (en) * | 2015-10-23 | 2016-01-27 | 刘明雄 | Touch input control system of touch mouse and control method of touch input control system |
| CN109782930A (en) * | 2019-01-17 | 2019-05-21 | 珠海恒宇新科技有限公司 | Pressure x velocity mouse and its control method |
Non-Patent Citations (2)
| Title |
|---|
| 浅谈鼠标速度的设置;ZX;《电脑迷》;20061201;第41页 * |
| 鼠标的灵敏度怎么调;百度经验;《https://baijiahao.baidu.com/s?id=1553240572304654&wfr=spider&for=pc》;20161209;第1-5页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110347436A (en) | 2019-10-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110347436B (en) | Method and system for individually adjusting mouse moving speed | |
| US10372328B2 (en) | Intelligent touchscreen keyboard with finger differentiation | |
| US9852158B2 (en) | Dynamic adaptation of feature identification and annotation | |
| US9384420B2 (en) | Classifying user activities using eye fixation clustering, fixation features, and regions of interest | |
| US20180348885A1 (en) | Multi Media Computing Or Entertainment System For Responding To User Presence And Activity | |
| CA2959674C (en) | Classification of touch input as being unintended or intended | |
| WO2022166243A1 (en) | Method, apparatus and system for detecting and identifying pinching gesture | |
| US10496159B2 (en) | User input processing with eye tracking | |
| CN112970056A (en) | Human-computer interface using high speed and accurate user interaction tracking | |
| US9223297B2 (en) | Systems and methods for identifying a user of an electronic device | |
| CN1573803A (en) | Detection of a dwell gesture by examining parameters associated with pen motion | |
| CN112560723B (en) | Fall detection method and system based on morphological recognition and speed estimation | |
| JP6914724B2 (en) | Information processing equipment, information processing methods and programs | |
| CN109726713B (en) | User interest area detection system and method based on consumer-grade gaze tracker | |
| WO2019005370A1 (en) | Automatic detection of human and non-human activity | |
| Wen et al. | UbiTouch: Ubiquitous smartphone touchpads using built-in proximity and ambient light sensors | |
| CN109933202A (en) | An intelligent input method and system based on bone conduction | |
| Qin et al. | WiASL: American Sign Language writing recognition system using commercial WiFi devices | |
| CN110347928A (en) | A kind of recommendation method for personalized information and system | |
| CN111124860B (en) | A method for identifying users using keyboard and mouse data in an uncontrolled environment | |
| CN109582171A (en) | Use identifying to the new finger for touching posture for capacitor hovering mode | |
| CN110110766B (en) | An online personality analysis method and device based on motion planning control features | |
| CN109308133A (en) | Intelligent interaction projects interaction technique | |
| US20220408011A1 (en) | User characteristic-based display presentation | |
| CN115599375A (en) | Data processing method and device based on RPA system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20221125 Address after: 221000 Plant 5, Smart Photoelectric Industrial Park, Xiyi Hi tech Industrial Development Zone, Xinyi City, Xuzhou, Jiangsu Province Applicant after: Jiangsu Airui Electronic Technology Co.,Ltd. Address before: Room f101-12, No.1 incubation and production building, guanshao shuangchuang (equipment) center, Huake City, 42 Baiwang Avenue, Wujiang District, Shaoguan City, Guangdong Province, 512026 Applicant before: Shaoguan Qizhi Information Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |