CN104298392A - Method for judging strong hand for holding according to touch position - Google Patents

Method for judging strong hand for holding according to touch position Download PDF

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Publication number
CN104298392A
CN104298392A CN201410389890.XA CN201410389890A CN104298392A CN 104298392 A CN104298392 A CN 104298392A CN 201410389890 A CN201410389890 A CN 201410389890A CN 104298392 A CN104298392 A CN 104298392A
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CN
China
Prior art keywords
side frame
frame region
touch
capacitance
hand
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Pending
Application number
CN201410389890.XA
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Chinese (zh)
Inventor
余朝东
黄椿兴
李一航
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SHANGHAI HUATUN TECHNOLOGY Co Ltd
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SHANGHAI HUATUN TECHNOLOGY Co Ltd
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Priority to CN201410389890.XA priority Critical patent/CN104298392A/en
Publication of CN104298392A publication Critical patent/CN104298392A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0416Control or interface arrangements specially adapted for digitisers

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Position Input By Displaying (AREA)

Abstract

The invention discloses a method for judging a strong hand for holding according to a touch position. The method is suitable for an intelligent touch frame, the intelligent touch frame comprises capacitor matrixes, an MCU and a system side, and the capacitor matrixes, the MCU and the system side are connected in sequence. The method comprises the following steps that S101, whether changes in capacitance occur in the capacitor matrixes corresponding a first side frame region and a second side frame region at the same time or not is judged, if yes, the next step is executed, and no operation is carried out if not; S102, whether the capacitance change time of the capacitor matrixes corresponding the first side frame region and the second side frame region exceeds preset time or not is judged, if yes, the next step is executed, and the step S101 is executed if not; S103, whether the number of touch points of the first side frame region is larger than that of touch points of the second side frame region or nor is judged, the right hand is considered as the strong hand if yes, and the left hand is considered as the strong hand if not.

Description

A kind ofly judge according to touch location the method that strong hand grips
Technical field
The invention belongs to intelligent touch technical field, be specifically related to a kind ofly judge according to touch location the method that strong hand grips.
Background technology
The application number patent of invention that to be 201410055500.5 denominations of invention be " a kind of intelligent touch frame " discloses a kind of intelligent touch frame, and this intelligent touch frame comprises capacitance matrix, MCU(single-chip microcomputer) and system end.Wherein, capacitance matrix is used for the action of finger sensing touching, and the electric capacity of touch position can change, and by corresponding capacitance variations information feed back to MCU; MCU is used for receiving and processing capacitance variations information, according to analysis processing result sending controling instruction to system end; System end performs corresponding operation according to steering order.It is generally realized by pressure transducer or range sensor that usual right-hand man grips, by judging that angle or area judge right-hand man, and calculation of complex and judged result is not accurate enough.
Summary of the invention
In order to solve the problems of the technologies described above, the present invention proposes a kind ofly to judge according to touch location the method that strong hand grips, and can be applicable to the intelligent touch frame that patent of invention that above-mentioned application number is 201410055500.5 provides.The concrete technical scheme of the present invention is as follows:
A kind ofly judge according to touch location the method that strong hand grips, be applicable to a kind of intelligent touch frame, this intelligent touch frame comprises touch area, and described touch area comprises the capacitance matrix of the first side frame region, the second side frame region, frame region, top, underframe region and correspondence.Described method comprises the steps:
Step S101, judges whether capacitance matrix corresponding to described first side frame region and the second side frame region capacitance variations occurs simultaneously, is then enter next step, no, then without operation;
Step S102, judges whether described first side frame region and capacitance matrix capacitance variations time corresponding to described second side frame region exceed Preset Time, are then enter next step, no, then return step S101;
Step S103, judges whether the touch point quantity in described first side frame region is greater than the touch point quantity in described second side frame region, is, then thinks that strong hand is the right hand; No, then think that strong hand is left hand.
Further, described step S101 is specially:
Whether, be then enter step S102, no if detecting the second side frame area capacitance when the first side frame area capacitance change to change, then without operation;
Whether, be then enter step S102, no if detecting the first side frame area capacitance when the second side frame area capacitance change to change, then without operation.
Further, described touch point is the touch position determined according to capacitance variations.
Compared with prior art, the present invention has following beneficial effect: by judging that counting of finger touch differentiates right-hand man's gripping, computation process is simple and judged result is accurate.
Accompanying drawing explanation
Fig. 1 is the structural representation of intelligent touch frame;
Fig. 2 is the general flow chart judging the method that strong hand grips according to touch location provided by the invention;
Fig. 3 is right-hand operated schematic diagram;
Fig. 4 is left-handed operation schematic diagram.
In upper figure, sequence number is: 1-touch area, 11-first side frame region, 12-second side frame region, 13-push up frame region, 14-underframe region, 2-MCU, 3-system end.
Embodiment
The present invention is described in detail by way of example below in conjunction with accompanying drawing.
Fig. 1 shows the concrete structure of intelligent touch frame, comprises the touch area 1 of rectangle, is provided with capacitance matrix in touch area 1; The touch area 1 of this intelligent touch frame comprises the annular region that the first side frame region 12, side frame region 11, second, frame region 13, top and underframe region 14 surround; Capacitance matrix is connected with MCU 2, and MCU 2 is connected with system end 3.
As shown in Figure 2, method step is:
Step S101, judges whether capacitance matrix corresponding to described first side frame region and the second side frame region capacitance variations occurs simultaneously, is then enter next step, no, then without operation;
Step S102, judges whether described first side frame region and capacitance matrix capacitance variations time corresponding to described second side frame region exceed Preset Time, are then enter next step, no, then return step S101;
Step S103, judges whether the touch point quantity in described first side frame region is greater than the touch point quantity in described second side frame region, is, then thinks that strong hand is the right hand; No, then think that strong hand is left hand.
There is provided below a kind of be applicable to above-mentioned intelligent touch frame judge strong hand holding method embodiment according to touch location:
The first step, with step S101 accordingly, when finger touch is to the first side frame region 11 of intelligent touch frame, the electric capacity of capacitance matrix relevant position changes, and capacitance matrix feedback one first capacitance variations information is to MCU 2; When finger touch is to the second side frame region 12 of intelligent touch frame, the electric capacity of capacitance matrix relevant position changes, and capacitance matrix feedback one second capacitance variations information is to MCU 2.
Owing to judging that according to touch location the function that strong hand grips only realizes by the touch in the first side frame region 11 and the second side frame region 12, therefore, MCU 2 only needs to carry out analyzing and processing to the first capacitance variations information of the first side frame region 11 correspondence and the second capacitance variations information of the second side frame region 12 correspondence, need not consider whether frame region 13, top or underframe region 14 are touched.
Second step, with step S102 accordingly, utilize MCU 2 receive the first capacitance variations information and the second capacitance variations information and carry out analyzing and processing, judge whether the first side frame region 11 and the second side frame region 12 are long pressed, and if so, then enter next step simultaneously.
Only when mobile terminal is held, just can further consider the problem that strong hand grips, therefore, this step is for judging whether mobile terminal is held, under normal circumstances, when mobile terminal is held, the both sides of mobile terminal all can by finger grip, that is, the first side frame region 11 of intelligent touch frame and the second side frame region 12 all can be pressed by finger is long.Also can just in order to detect user habit hand carry out some personal settings time, can detect by repeatedly strong hand the handedness obtaining user, thus carry out other Lookup protocols adapted.Now, when described capacitance variations is also included within and puts down mobile terminal, the electric capacity that mobile terminal both sides have simultaneously equally changes, and the capacitance variations time also may exceed Preset Time, and this electric capacity changes and is also contained in scope that the present invention protects.Therefore, as long as when judging that the first side frame region 11 and the second side frame region 12 are long pressed, can think that mobile terminal is held, carry out next step process simultaneously.
With step S103,3rd step, judges whether length is greater than the long finger number by the second side frame by the finger number of the first side frame, if so, then thinks that strong hand is the right hand accordingly; If not, then think that strong hand is left hand.
This step is namely for judging strong hand.As shown in Figure 3, when the right hand of user normally grips the mobile terminal being provided with intelligent touch frame, thumb president is by the second side frame region 12, and forefinger, middle finger, the third finger and little finger of toe president are by the first side frame region 11; As shown in Figure 4, when the left hand of user normally grips the mobile terminal being provided with intelligent touch frame, thumb president is by the first side frame region 11, and forefinger, middle finger, the third finger and little finger of toe president are by the second side frame region 12.From diagram, when strong hand is the right hand, length can be greater than the long finger number by the second side frame region 12 by the finger number in the first side frame region 11; When strong hand is left hand, length can be greater than the long finger number by the first side frame region 11 by the finger number in the second side frame region 12.If the long finger number by the first side frame region 11 is equal with the long finger number by the second side frame 12, then not can think it is normal holding mode, therefore, this step can not judge strong hand according to this kind of situation.
Finally, MCU 2 sends a strong hand according to judged result and regulates information to system end 3, and system end 3 receives strong hand and regulates information, regulates information and executing to operate accordingly according to strong hand.
Namely this step is that the judged result of strong hand is sent to system end 3, what the strong hand of apprizing system end 3 user is, make system end 3 for the function such as strong hand adjustment screen display, touch operation mode etc. of user, using and operating of user terminal can be convenient to.
The present embodiment controls to touch frame feedback signal by MCU, realizes data and exports.Touch frame and adopt multilayer ITO layer, form matrix form distribution, with X-axis, Y-axis cross-distribution as capacitance matrix, when pointing touching and touching frame, by the scanning of X, Y-axis, the change of touch position electric capacity detected, and then calculate the place of finger, i.e. touch points position.Grip mobile terminal according to touch points position judgment user which hand usual, judged result is transferred to system end 3 by MCU.
In the present embodiment, judge long by time be 0.5S, namely time in user's Continued depression first side frame region 11 or the second side frame region 12 is more than 0.5S, MCU 2 this pressing capacitance matrix is judged as long by.
Be only a specific embodiment of the application above, but the application is not limited thereto, the change that any those skilled in the art can think, all should drops in the protection domain of the application.

Claims (3)

1. one kind judges according to touch location the method that strong hand grips, be applicable to a kind of intelligent touch frame, this intelligent touch frame comprises touch area, and described touch area comprises the capacitance matrix of the first side frame region, the second side frame region, frame region, top, underframe region and correspondence; It is characterized in that, described method comprises the steps:
Step S101, judges whether capacitance matrix corresponding to described first side frame region and the second side frame region capacitance variations occurs simultaneously, is then enter next step, no, then without operation;
Step S102, judges whether described first side frame region and capacitance matrix capacitance variations time corresponding to described second side frame region exceed Preset Time, are then enter next step, no, then return step S101;
Step S103, judges whether the touch point quantity in described first side frame region is greater than the touch point quantity in described second side frame region, is, then thinks that strong hand is the right hand; No, then think that strong hand is left hand.
2. method according to claim 1, is characterized in that, described step S101 is specially:
Whether, be then enter step S102, no if detecting the second side frame area capacitance when the first side frame area capacitance change to change, then without operation;
Whether, be then enter step S102, no if detecting the first side frame area capacitance when the second side frame area capacitance change to change, then without operation.
3. method according to claim 2, is characterized in that, described touch point is the touch position determined according to capacitance variations.
CN201410389890.XA 2014-08-11 2014-08-11 Method for judging strong hand for holding according to touch position Pending CN104298392A (en)

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Application Number Priority Date Filing Date Title
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104615352A (en) * 2015-01-28 2015-05-13 上海华豚科技有限公司 Mobile terminal desktop, mobile terminal and operation method for mobile terminal desktop
CN104731506A (en) * 2015-03-31 2015-06-24 努比亚技术有限公司 Data transmission operation revocation method and device
CN104731339A (en) * 2015-03-31 2015-06-24 努比亚技术有限公司 Holding mode recognition method and device for mobile terminal
CN104869230A (en) * 2015-04-23 2015-08-26 努比亚技术有限公司 Mobile terminal control method and apparatus
CN104980582A (en) * 2015-06-23 2015-10-14 广东欧珀移动通信有限公司 Screen switching method and mobile terminal
CN105183273A (en) * 2015-08-04 2015-12-23 京东方科技集团股份有限公司 Display panel, mobile terminal, and method for controlling mobile terminal
CN105867787A (en) * 2016-03-25 2016-08-17 青岛海信移动通信技术股份有限公司 Method and device for detecting mode of holding terminal by user and terminal
CN106200920A (en) * 2016-06-28 2016-12-07 维沃移动通信有限公司 A kind of right-hand man's recognition methods and mobile terminal
CN112674722A (en) * 2020-12-24 2021-04-20 中科彭州智慧产业创新中心有限公司 Pulse condition fast distinguishing and detecting device based on pulse diagnosis instrument
CN115379044A (en) * 2021-05-21 2022-11-22 北京小米移动软件有限公司 Holding state detection method and device, electronic equipment and storage medium
US11567621B2 (en) 2015-08-04 2023-01-31 Boe Technology Group Co., Ltd. Display panel, mobile terminal and method for controlling mobile terminal

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CN102710835A (en) * 2012-05-18 2012-10-03 广州市渡明信息技术有限公司 Detecting method and system for handholding condition of mobile phone
CN103019554A (en) * 2011-09-20 2013-04-03 联想(北京)有限公司 Command recognition method and electronic device using same
CN103593640A (en) * 2012-08-16 2014-02-19 联想(北京)有限公司 Information processing method and electronic equipment

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CN103019554A (en) * 2011-09-20 2013-04-03 联想(北京)有限公司 Command recognition method and electronic device using same
CN102710835A (en) * 2012-05-18 2012-10-03 广州市渡明信息技术有限公司 Detecting method and system for handholding condition of mobile phone
CN103593640A (en) * 2012-08-16 2014-02-19 联想(北京)有限公司 Information processing method and electronic equipment

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104615352A (en) * 2015-01-28 2015-05-13 上海华豚科技有限公司 Mobile terminal desktop, mobile terminal and operation method for mobile terminal desktop
CN104731339B (en) * 2015-03-31 2017-12-22 努比亚技术有限公司 The holding mode recognition methods of mobile terminal and device
CN104731506A (en) * 2015-03-31 2015-06-24 努比亚技术有限公司 Data transmission operation revocation method and device
CN104731339A (en) * 2015-03-31 2015-06-24 努比亚技术有限公司 Holding mode recognition method and device for mobile terminal
CN104869230A (en) * 2015-04-23 2015-08-26 努比亚技术有限公司 Mobile terminal control method and apparatus
CN104980582A (en) * 2015-06-23 2015-10-14 广东欧珀移动通信有限公司 Screen switching method and mobile terminal
CN105183273B (en) * 2015-08-04 2019-03-15 京东方科技集团股份有限公司 A kind of control method of display panel, mobile terminal and mobile terminal
CN105183273A (en) * 2015-08-04 2015-12-23 京东方科技集团股份有限公司 Display panel, mobile terminal, and method for controlling mobile terminal
US11567621B2 (en) 2015-08-04 2023-01-31 Boe Technology Group Co., Ltd. Display panel, mobile terminal and method for controlling mobile terminal
CN105867787A (en) * 2016-03-25 2016-08-17 青岛海信移动通信技术股份有限公司 Method and device for detecting mode of holding terminal by user and terminal
CN106200920A (en) * 2016-06-28 2016-12-07 维沃移动通信有限公司 A kind of right-hand man's recognition methods and mobile terminal
CN112674722A (en) * 2020-12-24 2021-04-20 中科彭州智慧产业创新中心有限公司 Pulse condition fast distinguishing and detecting device based on pulse diagnosis instrument
CN112674722B (en) * 2020-12-24 2022-08-30 中科彭州智慧产业创新中心有限公司 Pulse condition fast distinguishing and detecting device based on pulse diagnosis instrument
CN115379044A (en) * 2021-05-21 2022-11-22 北京小米移动软件有限公司 Holding state detection method and device, electronic equipment and storage medium
CN115379044B (en) * 2021-05-21 2023-11-14 北京小米移动软件有限公司 Holding state detection method, holding state detection device, electronic equipment and storage medium

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Application publication date: 20150121