CN106681500B - Click recognition system and method in man-machine interaction equipment in electronic information field - Google Patents

Click recognition system and method in man-machine interaction equipment in electronic information field Download PDF

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Publication number
CN106681500B
CN106681500B CN201611154495.9A CN201611154495A CN106681500B CN 106681500 B CN106681500 B CN 106681500B CN 201611154495 A CN201611154495 A CN 201611154495A CN 106681500 B CN106681500 B CN 106681500B
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vibration
unit
central processing
signals
processing unit
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CN106681500A (en
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许崇云
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Beijing kangjisen Automation Technology Co.,Ltd.
Beijing kangjisen Technology Co.,Ltd.
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Beijing Kang Jisen Automation Equipment Technology Co Ltd
Beijing Kangjisen Technology Co Ltd
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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
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/014Hand-worn input/output arrangements, e.g. data gloves

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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)
  • User Interface Of Digital Computer (AREA)

Abstract

The invention discloses a click recognition system and a click recognition method in man-machine interaction equipment in the field of electronic information technology, which comprises two groups of finger sleeves, wherein the left end of the bottom of each finger sleeve is provided with a vibration sensor, the right end of each finger sleeve is connected with a fastening ring, the top of each fastening ring is connected with a binding post, a bracket is arranged between the two groups of fastening rings, two groups of transverse supporting rods of the bracket are respectively provided with an elastic part, the bottom of the right end of the bracket is provided with a binding belt, the top of the right end of the bracket is provided with a central processing unit, the vibration sensor is electrically output and connected with a data conversion unit, the data conversion unit is electrically output and connected with a vibration signal processor, the vibration signal processor is respectively and electrically connected with a storage unit and a communication unit in a two-way manner, the click recognition system in the wearing equipment for man, the condition of misoperation of the mouse is reduced.

Description

Click recognition system and method in man-machine interaction equipment in electronic information field
Technical Field
The invention relates to the technical field of electronic information, in particular to a click recognition system and method in human-computer interaction equipment in the field of electronic information.
Background
The development of information technology, internet and internet of things technology, the variety of intelligent equipment is more and more diversified. In the control aspect of intelligent equipment, it is one of the development directions to pursue humanized and interactive experience, because the restriction of mouse volume and theory of operation, there are many inconveniences when controlling panel, cell-phone, portable office equipment, including not portable, for example when sitting on the sofa and operating the panel, mouse just is not convenient to use. Moreover, when switching between mouse control and typing operation, certain inconvenience exists, wearing equipment replaces a mouse to be more convenient to use, but the existing wearing equipment replacing the mouse is fuzzy in distinguishing typing vibration signals and mouse vibration signals, and the typing state is easily mistaken for mouse operation, so that a system and a method for identifying clicking in human-computer interaction equipment in the field of sub-information are provided.
Disclosure of Invention
The invention aims to provide a click recognition system in wearing equipment for man-machine interaction, which aims to solve the problems that the existing wearing equipment for replacing a mouse in the background art is fuzzy in distinguishing a typing vibration signal and a mouse vibration signal, and is easy to mistake the typing state as the operation of the mouse.
In order to achieve the purpose, the invention provides the following technical scheme: a click recognition system in human-computer interaction equipment in the sub-information field comprises two groups of finger sleeves, wherein a vibration sensor is installed at the left end of the bottom of each finger sleeve, the right end of each finger sleeve is connected with a fastening ring, the top of each fastening ring is connected with a binding post, a support is installed between the two fastening rings, elastic pieces are installed on two groups of transverse supporting rods of the support, a binding belt is installed at the bottom of the right end of the support, a central processing unit is installed at the top of the right end of the support, the vibration sensor is electrically output and connected with a data conversion unit, the data conversion unit is electrically output and connected with a vibration signal processor, the vibration signal processor is electrically and bidirectionally connected with a storage unit and a communication unit respectively, the communication unit is electrically output and connected with the central processing unit, the central processing unit is electrically input and connected with a power, Linkage detecting system and vibration frequency detecting system.
Preferably, the communication units are connected with the central processing unit through data lines, and the communication units on the two groups of finger sleeves are connected through data lines.
Preferably, the vibration frequency detection system comprises a timing unit, a counting unit and a comparison unit, wherein the timing unit counts the time difference of the vibration signals continuously sent by the vibration sensor, the counting unit counts the time difference, the comparison unit compares the time difference, and the detection result is fed back to the central processing unit.
Preferably, the linkage detection system comprises a signal detection unit and a signal storage unit, wherein the signal detection unit receives vibration signals from one group of vibration sensors and stores the vibration signals to the signal storage unit, and the signal detection unit detects whether the other group of vibration sensors has corresponding vibration signals.
Preferably, the support is a soft rubber support, and the outer wall of the support is coated with a skin-friendly layer.
Preferably, the click recognition method in the human-computer interaction device in the electronic information field comprises the following specific steps:
s1: the two groups of finger sleeves are respectively sleeved on the forefinger and the little finger, the wearable device main control system is arranged on the finger sleeves sleeved on the forefinger, the forefinger which controls the mouse is more, the little finger does not control the mouse, and the two groups of vibration sensors monitor the action information of the finger sleeves in real time;
s2: the wearable device comprises a wearable device, a data conversion unit, a communication unit, a power supply unit, a control unit and a power supply unit, wherein the wearable device is provided with a main control system, the main control system is connected with the data conversion unit, the data conversion unit is connected with the data supply unit, the power supply unit is connected with the control unit, and the main control system is connected with the data supply unit;
s3: the central processing unit respectively transmits the vibration signals to the linkage detection system and the vibration frequency detection system, the vibration frequency detection system comprises a timing unit, a counting unit and a comparison unit, the timing unit counts the time difference of the vibration signals continuously sent by the vibration sensors through the counting unit and compares the time difference with the comparison unit, the linkage detection system comprises a signal detection unit and a signal storage unit, the signal detection unit receives the vibration signals from one group of vibration sensors and stores the signals in the signal storage unit, the signal detection unit detects whether the other group of vibration sensors have corresponding vibration signals and transmits the detection result to the central processing unit, if the vibration time difference among the vibration signals is different and the other group of vibration sensors also generate linkage vibration, the central processing unit determines that the vibration signals act as typing operation, the central processing unit orders the main control system of the wearing equipment not to react, if the vibration time difference between the vibration signals is close or another group of vibration sensors does not generate linkage vibration, the central processing unit considers that the mouse operation is the mouse operation, and the central processing unit sends the control information to the wearable device main control system and makes a response through the wearable device main control system.
Compared with the prior art, the invention has the beneficial effects that: the click recognition system in the wearable device for man-machine interaction has the advantages that the click recognition system is obvious in typing and mouse operation distinguishing, and the misoperation condition of a mouse is reduced.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention;
FIG. 3 is a flow chart of the recognition system of the present invention.
In the figure: the device comprises a finger stall 1, a vibration sensor 2, a fastening ring 3, a binding post 4, a support 5, an elastic part 6, a binding belt 7, a central processing unit 8, a data conversion unit 9, a vibration signal processor 10, a storage unit 11, a communication unit 12, a power supply unit 13, a wearable device main control system 14, a linkage detection system 15 and a vibration frequency detection system 16.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a click recognition system in human-computer interaction equipment in the field of electronic information comprises two groups of finger sleeves 1, wherein the finger sleeves 1 are sleeved on two fingers for use as controls, preferably, the two finger sleeves 1 are respectively sleeved on a forefinger and a little finger, a vibration sensor 2 is arranged at the left end of the bottom of the finger sleeves 1, the right end of the finger sleeves 1 is connected with a fastening ring 3, the top of the fastening ring 3 is connected with a binding post 4, a bracket 5 is arranged between the two groups of fastening rings 3, elastic pieces 6 are arranged on two groups of transverse supporting rods of the bracket 5, a binding belt 7 is arranged at the bottom of the right end of the bracket 5, a central processing unit 8 is arranged at the top of the right end of the bracket 5, the vibration sensor 2 is electrically output and connected with a data conversion unit 9, the data conversion unit 9 is electrically output and connected with a vibration signal processor 10, the vibration signal processor 10 is electrically connected with, the central processing unit 8 is electrically connected to the power supply unit 13, and the central processing unit 8 is respectively electrically connected to the wearable device main control system 14, the linkage detection system 15 and the vibration frequency detection system 16 in a bidirectional manner.
Wherein, the communication unit 12 is connected with the central processing unit 8 through a data line, the communication units 12 on the two finger sleeves 1 are connected through a data line, the vibration frequency detection system 16 comprises a timing unit, a statistical unit and a comparison unit, the timing unit times the time difference of the vibration signals continuously sent by the vibration sensor 2 and counts through the statistical unit, and make the contrast through the contrast unit, and feed back the testing result to central processing unit 8, linkage detecting system 15 includes signal detection unit and signal memory cell, signal detection unit receives the shock signal that comes from a set of shock sensor 2 and preserves this signal to signal memory cell, signal detection unit detects another set of shock sensor 2 and has or not corresponding shock signal, support 5 is soft rubber support, the ductility is better, and the outer wall of support 5 scribbles the skin-friendly layer, avoid skin to produce the hypersensitivity.
A click recognition method in human-computer interaction equipment in the electronic information field comprises the following specific steps:
s1: the two groups of finger sleeves 1 are respectively sleeved on the forefinger and the little finger, the wearable device main control system 14 is arranged on the finger sleeves 1 sleeved on the forefinger, the forefinger which normally controls a mouse is more, the little finger does not control the mouse, and the two groups of vibration sensors 2 monitor the action information of the finger sleeves 1 in real time;
s2: one group of the vibration sensors 2 senses vibration, the vibration sensors 2 transmit the signals to the vibration signal processor 10 through the data conversion unit 9, the vibration signal processor 10 stores the signals to the storage unit 11 and transmits the signals to the central processing unit 8 at the wrist through the communication unit 12, the communication unit 12 is directly connected with the central processing unit 8 through a data line, the situation that the signals are shielded is avoided, the power supply unit 13 supplies power for the control system, and the main control system 14 of the wearable device controls common control commands of the wearable device such as normal left click, right click, single click and double click;
s3: the central processing unit 8 transmits the vibration signal to the linkage detection system 15 and the vibration frequency detection system 16 respectively, the vibration frequency detection system 16 comprises a timing unit, a counting unit and a comparison unit, the timing unit counts the time difference of the vibration signals continuously sent by the vibration sensors 2 through the counting unit and compares the time difference with the comparison unit, the linkage detection system 15 comprises a signal detection unit and a signal storage unit, the signal detection unit receives the vibration signals from one group of the vibration sensors 2 and stores the vibration signals into the signal storage unit, the signal detection unit detects whether the other group of the vibration sensors 2 has corresponding vibration signals or not and transmits the detection result to the central processing unit 8, if the vibration time difference between the vibration signals is different and the other group of the vibration sensors 2 also generates linkage vibration, the central processing unit 8 determines that the vibration signals act as typing operation, the wearable device main control system 14 is instructed not to react, if the other group of vibration sensors 2 do not generate linkage vibration, the central processing unit 8 considers that the operation is mouse operation, and the central processing unit 8 sends the control information to the wearable device main control system 14 and reacts through the wearable device main control system 14.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (3)

1. The utility model provides a click identification system in human-computer interaction equipment under electronic information field, includes two sets of dactylotheca (1), its characterized in that: the left end of the bottom of the fingerstall (1) is provided with a vibration sensor (2), the right end of the fingerstall (1) is connected with a fastening ring (3), the top of the fastening ring (3) is connected with a binding post (4), a support (5) is arranged between two groups of fastening rings (3), two groups of transverse supporting rods of the support (5) are respectively provided with an elastic piece (6), the bottom of the right end of the support (5) is provided with a binding belt (7), the top of the right end of the support (5) is provided with a central processing unit (8), the vibration sensor (2) is electrically output and connected with a data conversion unit (9), the data conversion unit (9) is electrically output and connected with a vibration signal processor (10), the vibration signal processor (10) is respectively electrically connected with a storage unit (11) and a communication unit (12), and the communication unit (12) is electrically output and connected with the central processing, the central processing unit (8) is electrically connected with the power supply unit (13) in an input mode, and the central processing unit (8) is respectively and electrically connected with the wearable equipment main control system (14), the linkage detection system (15) and the vibration frequency detection system (16) in a bidirectional mode;
the communication units (12) are connected with the central processing unit (8) through data lines, and the communication units (12) on the two groups of finger sleeves (1) are connected through the data lines;
the vibration frequency detection system (16) comprises a timing unit, a statistical unit and a comparison unit, wherein the timing unit times the time difference of vibration signals continuously sent by the vibration sensor (2), the statistical unit counts the time difference, the comparison unit compares the time difference, and the detection result is fed back to the central processing unit (8);
the linkage detection system (15) comprises a signal detection unit and a signal storage unit, wherein the signal detection unit receives vibration signals from one group of vibration sensors (2) and stores the vibration signals to the signal storage unit, and the signal detection unit detects whether the other group of vibration sensors (2) have corresponding vibration signals.
2. The system for identifying the click in the human-computer interaction equipment in the field of electronic information according to claim 1, characterized in that: the support (5) is a soft rubber support, and the outer wall of the support (5) is coated with a skin-friendly layer.
3. A click recognition method in human-computer interaction equipment in the field of electronic information is characterized by comprising the following steps: the identification method of the click identification system in the wearable device for man-machine interaction comprises the following specific steps:
s1: the two groups of finger sleeves (1) are respectively sleeved on the forefinger and the little finger, a wearable device main control system (14) is arranged on the finger sleeves (1) sleeved on the forefinger, the forefinger which controls a mouse is more, the little finger does not control the mouse, and the two groups of vibration sensors (2) are used for monitoring the action information of the finger sleeves (1) in real time;
s2: the wearable device comprises a wearable device main control system (14), a vibration signal processor (10), a storage unit (11), a communication unit (12), a power supply unit (13), a control system and a data line, wherein a group of vibration sensors (2) senses vibration, the group of vibration sensors (2) transmits signals to the vibration signal processor (10) through the data conversion unit (9), the vibration signal processor (10) stores the signals to the storage unit (11) and transmits the signals to the central processing unit (8) at the wrist through the communication unit (12), the communication unit (12) is directly connected with the central processing unit (8) through the data line, the shielded situation of the signals is avoided, the power supply unit (13) supplies power to the control system, and the wearable device main;
s3: the central processing unit (8) respectively transmits the vibration signals to the linkage detection system (15) and the vibration frequency detection system (16), the vibration frequency detection system (16) comprises a timing unit, a statistical unit and a comparison unit, the timing unit carries out statistics on the time difference of the vibration signals continuously sent by the vibration sensors (2) through the statistical unit and compares the time difference with the comparison unit, the linkage detection system (15) comprises a signal detection unit and a signal storage unit, the signal detection unit receives the vibration signals from one group of the vibration sensors (2) and stores the vibration signals into the signal storage unit, the signal detection unit detects whether the other group of the vibration sensors (2) has corresponding vibration signals and transmits the detection result to the central processing unit (8), if the vibration time difference among the vibration signals is different and the other group of the vibration sensors (2) also generates linkage vibration, the central processing unit (8) determines that the vibration signal is in typing operation, the wearing equipment main control system (14) is commanded not to react, if the other group of vibration sensors (2) do not generate linkage vibration, the central processing unit (8) considers that the vibration signal is in mouse operation, and the central processing unit (8) sends control information to the wearing equipment main control system (14) and reacts through the wearing equipment main control system (14).
CN201611154495.9A 2016-12-14 2016-12-14 Click recognition system and method in man-machine interaction equipment in electronic information field Active CN106681500B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1740957A (en) * 2004-08-27 2006-03-01 联想(北京)有限公司 Wearable signal inputting device for data processing system
CN101697096A (en) * 2009-10-30 2010-04-21 清华大学 Wireless input terminal worn on fingers
CN103109462A (en) * 2010-04-16 2013-05-15 尼古拉斯·J.·马斯坦德雷亚 Wearable motion sensing computing interface
CN103649873A (en) * 2011-03-30 2014-03-19 知识产权国际有限责任公司 Thumb mountable cursor control and input device
CN203733070U (en) * 2014-01-13 2014-07-23 南京信息工程大学 Glove with wireless transmission function
CN104778746A (en) * 2015-03-16 2015-07-15 浙江大学 Method for performing accurate three-dimensional modeling based on data glove by using natural gestures
CN105278699A (en) * 2014-09-29 2016-01-27 北京至感传感器技术研究院有限公司 Easy-wearable gesture identification device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1740957A (en) * 2004-08-27 2006-03-01 联想(北京)有限公司 Wearable signal inputting device for data processing system
CN101697096A (en) * 2009-10-30 2010-04-21 清华大学 Wireless input terminal worn on fingers
CN103109462A (en) * 2010-04-16 2013-05-15 尼古拉斯·J.·马斯坦德雷亚 Wearable motion sensing computing interface
CN103649873A (en) * 2011-03-30 2014-03-19 知识产权国际有限责任公司 Thumb mountable cursor control and input device
CN203733070U (en) * 2014-01-13 2014-07-23 南京信息工程大学 Glove with wireless transmission function
CN105278699A (en) * 2014-09-29 2016-01-27 北京至感传感器技术研究院有限公司 Easy-wearable gesture identification device
CN104778746A (en) * 2015-03-16 2015-07-15 浙江大学 Method for performing accurate three-dimensional modeling based on data glove by using natural gestures

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