CN110941339A - Gesture sensing method, electronic device and storage medium - Google Patents

Gesture sensing method, electronic device and storage medium Download PDF

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Publication number
CN110941339A
CN110941339A CN201911184407.3A CN201911184407A CN110941339A CN 110941339 A CN110941339 A CN 110941339A CN 201911184407 A CN201911184407 A CN 201911184407A CN 110941339 A CN110941339 A CN 110941339A
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gesture
magnetic
induction
magnetic field
intensity
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CN110941339B (en
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王鑫
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Shanghai Chuanggong Telecom Technology Co Ltd
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Shanghai Chuanggong Telecom 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
    • G06F3/017Gesture based interaction, e.g. based on a set of recognized hand gestures

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Abstract

The invention relates to the technical field of electronics, and discloses a gesture sensing method, electronic equipment and a storage medium. The gesture sensing method comprises the following steps: dividing a preset gesture induction area into at least two magnetic induction subareas; and acquiring magnetic field intensity change information in each magnetic induction zone, generating a magnetic intensity time change curve corresponding to each magnetic induction zone, and identifying the air separation gesture by combining each magnetic intensity time change curve. According to the embodiment of the invention, the magnetic field sensor array is adopted for magnetic induction intensity detection, and the air-separating gesture is identified based on the collected information of the magnetic field sensor array according to simple logic judgment, so that the identification of the air-separating gesture can be rapidly and accurately realized, and the use experience of a user is greatly improved.

Description

Gesture sensing method, electronic device and storage medium
Technical Field
The present invention relates to the field of electronic technologies, and in particular, to a gesture sensing method, an electronic device, and a storage medium.
Background
The existing human-computer interaction technology has the traditional button type, touch screen type, voice control and gesture interaction based on machine vision. However, these human-computer interaction methods have many disadvantages:
(1) the traditional key pressing mode is poor in user experience.
(2) The touch screen type is a mainstream man-machine interaction mode at present, and has the defect that the control operation can be realized only by touching a screen. When a user has foreign matters such as dirt, oil or water stains on the hand, touch operation is basically impossible.
(3) The voice control interactive mode is limited by the current application environment. In application environments with high environmental noise, such as public areas, the voice recognition rate is low, and the human-computer interaction experience is poor.
(4) The gesture interaction mode based on machine vision is complex in algorithm implementation, slow in response time and low in fault tolerance rate.
Disclosure of Invention
The invention aims to provide a gesture sensing method, an electronic device and a storage medium, and solves the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
a gesture sensing method, comprising the steps of:
dividing a preset gesture induction area into at least two magnetic induction subareas;
and acquiring magnetic field intensity change information in each magnetic induction zone, generating a magnetic intensity time change curve corresponding to each magnetic induction zone, and identifying the air separation gesture by combining each magnetic intensity time change curve.
Optionally, the method for recognizing the air-separating gesture by combining the magnetic strength time variation curves includes:
after entering a gesture induction mode, determining a first magnetic induction area with the maximum magnetic field induction intensity change at the initial moment and a second magnetic induction area with the maximum magnetic field induction intensity change at the final moment in the whole change period according to each magnetic intensity time change curve;
according to the distribution positions of the magnetic induction zones in the gesture induction zone, drawing a track graph which starts to move from the first magnetic induction zone to the second magnetic induction zone in the gesture induction zone, and obtaining the air separating gesture.
Optionally, the method for recognizing the air-separating gesture by combining the magnetic strength time variation curves includes:
after entering a gesture induction mode, identifying the strongest magnetic field subarea with the maximum magnetic field induction intensity change at each moment in the whole change period according to each magnetic intensity time change curve, and accordingly obtaining a strongest subarea time change table;
and drawing a change track diagram of the strongest magnetic field subarea in the gesture induction area according to the strongest subarea time change table and the distribution positions of the magnetic induction subareas in the gesture induction area to obtain the air separating gesture.
Optionally, the method for entering the gesture sensing mode includes: and when the magnetic field induction intensity of the gesture induction area is detected to start to change and exceeds a preset threshold value, the gesture induction mode is started.
Optionally, the gesture sensing method further includes: and executing a processing event corresponding to the air-separating gesture after the air-separating gesture is recognized.
An electronic device comprising an array of magnetic field sensors and a controller;
the magnetic field sensor array is arranged in a preset gesture induction area, comprises at least two magnetic field sensors which are arranged according to a preset form, and divides the whole gesture induction area into at least two magnetic induction subareas;
the controller is used for acquiring magnetic field intensity change information in each magnetic induction zone, generating magnetic intensity time change curves corresponding to each magnetic induction zone, and identifying the air separation gesture by combining the magnetic intensity time change curves.
Optionally, the controller is specifically configured to determine, after entering the gesture sensing mode, a first magnetic induction area with the largest change in magnetic field induction intensity at an initial time and a second magnetic induction area with the largest change in magnetic field induction intensity at a final time in the entire change period according to each of the magnetic intensity time change curves; according to the distribution positions of the magnetic induction zones in the gesture induction zone, drawing a track graph which starts to move from the first magnetic induction zone to the second magnetic induction zone in the gesture induction zone, and obtaining the air separating gesture.
Optionally, the controller is specifically configured to, after entering the gesture sensing mode, identify, according to each of the magnetic strength time variation curves, a strongest magnetic field partition in which the magnetic field sensing strength changes most at each time in the entire variation period, and accordingly obtain a strongest partition time variation table; and drawing a change track diagram of the strongest magnetic field subarea in the gesture induction area according to the strongest subarea time change table and the distribution positions of the magnetic induction subareas in the gesture induction area to obtain the air separating gesture.
Optionally, the controller is further configured to execute a processing event corresponding to the spaced gesture.
A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the gesture sensing method according to any one of the above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, the magnetic field sensor array is adopted for magnetic induction intensity detection, and the air-separating gesture is identified based on the collected information of the magnetic field sensor array according to simple logic judgment, so that the identification of the air-separating gesture can be rapidly and accurately realized, and the use experience of a user is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a gesture sensing method according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating division of a gesture sensing area according to an embodiment of the present invention;
Detailed Description
In order to make the embodiments of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments, not all embodiments, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort shall fall within the protection scope of the embodiments in the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the embodiments of the application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In general, when an electronic device such as a mobile phone is used, it may be inconvenient to directly touch the electronic device with a hand to operate the electronic device. For example, in the case where the user has water, oil, or is dirty in the hand, it is inconvenient for the user to directly touch the electronic device with the hand. For another example, in the case where the user wears gloves while being cold outdoors, it is inconvenient for the user to directly touch the electronic device with a hand.
At this time, the user may operate the electronic device through the air gesture. The spaced gesture refers to a gesture operation when the hand of the user does not contact the electronic device and the distance between the hand and the electronic device is greater than or equal to a preset distance threshold (e.g., 1 cm).
The embodiment of the application provides a gesture sensing method, which can be applied to electronic equipment and can generate a corresponding general input event according to an air-spaced gesture, wherein the general input event is an input event corresponding to a contact operation of a user on the electronic equipment, so that both system application and third-party application can respond to the general input event, namely, both system application and third-party application can respond to the air-spaced gesture.
Referring to fig. 1, a gesture sensing method in the embodiment of the present application may include the following steps:
step 101, dividing a preset gesture induction area into at least two magnetic induction zones.
In the embodiment of the application, a magnetic field sensor array is arranged in the preset gesture induction area, the array is formed by arranging at least two magnetic field sensors according to a preset mode, and the total effective magnetic induction areas of all the magnetic field sensors cover the preset gesture induction area.
Based on the magnetic field sensor array, the preset gesture induction area can be divided into a plurality of magnetic induction subareas which are not coincident with each other, and each magnetic induction subarea comprises one magnetic field sensor. As shown in fig. 2, taking an array of magnetic field sensors (an array of four magnetic field sensors, such as a1, a2, A3, and a4 in the figure) arranged in a rectangular matrix as an example, the gesture sensing area may be divided into four magnetic induction sections (four magnetic induction sections, such as Q1, Q2, Q3, and Q4 in the figure), and each magnetic induction section is provided with one magnetic field sensor.
In fact, the gesture sensing area can be designated as any area of the electronic device, and the subsequent gesture recognition can be realized only by installing the magnetic field sensor array in the area. Under the general condition, when electronic equipment includes the display screen, can install the magnetic field sensor array in the below of display screen, the top of display screen forms the gesture induction zone, accords with user's operation custom, realizes carrying out visual response after detecting user's the spaced apart gesture, is favorable to promoting human-computer interaction and experiences.
102, obtaining magnetic field intensity change information in each magnetic induction zone, generating a magnetic intensity time change curve corresponding to each magnetic induction zone, and identifying the air separation gesture by combining each magnetic intensity time change curve.
Illustratively, when the air-separating gesture is a simple sliding gesture, the method includes left-right sliding, up-down sliding, and diagonal sliding, and the method for identifying the air-separating gesture by combining each magnetic strength time variation curve includes:
after entering a gesture induction mode, determining a first magnetic induction area with the maximum magnetic field induction intensity change at the initial moment and a second magnetic induction area with the maximum magnetic field induction intensity change at the last moment in the whole change period according to each magnetic intensity time change curve; and drawing a track graph starting to move from the first magnetic induction area to the second magnetic induction area in the gesture induction area according to the distribution positions of the magnetic induction areas in the gesture induction area, so as to obtain the current air gesture.
In this example, since the air-separating gesture is a simple linear sliding gesture, the sliding direction and the operation area of the air-separating gesture can be determined only by determining the starting position and the end position, the first magnetic induction area with the largest change in magnetic field induction intensity is the starting position of the air-separating gesture, and the second magnetic induction area with the largest magnetic field induction intensity is the end position of the air-separating gesture.
For example, for more complex air-spaced gestures, including a circular sliding gesture, a rectangular sliding gesture, and the like, the method for identifying the air-spaced gesture by combining each magnetic strength time variation curve includes:
after entering a gesture induction mode, identifying the strongest magnetic field subarea with the maximum magnetic field induction intensity change at each moment in the whole change period according to each magnetic intensity time change curve, and accordingly obtaining a strongest subarea time change table; and drawing a change track diagram of the strongest magnetic field partition in the gesture induction area according to the strongest partition time change table and the distribution positions of the magnetic induction partitions in the gesture induction area to obtain the air-separating gesture.
It should be noted that the gesture sensing mode may be turned on in any manner. For example, when the magnetic field induction strength of the gesture induction area starts to change and exceeds a preset threshold value, the gesture induction mode is started; or, the gesture sensing mode is started through touch control.
And 103, executing a processing event corresponding to the space gesture.
In some embodiments, each of the blank gestures may correspond to a processing event, such as opening an application (audio playback application, camera application, short message application, or other various types of applications). When the electronic equipment detects the air gesture, the corresponding processing event is executed according to the air gesture.
In other embodiments, each of the blank gestures may correspond to at least two processing events simultaneously, such as turning on a camera application and starting to take a video. When the electronic device detects such a blank gesture, all corresponding processing events are executed simultaneously according to the blank gesture, or one corresponding processing event is executed alternatively.
To sum up, this application embodiment has adopted the magnetic field sensor array to carry out the magnetic induction intensity and has detected, and the collection information based on the magnetic field sensor array judges according to simple logic, can realize the discernment of separating the empty gesture fast accurately, promotes user's use greatly and experiences.
The embodiment of the present application further provides an electronic device, which can accurately recognize the air separation gesture, including: the magnetic field sensor array is positioned below the display screen, and the controller is used for controlling the magnetic field sensor array.
The magnetic field sensor array comprises at least two magnetic field sensors which are arranged according to a preset form.
The magnetic field sensors are devices capable of converting various magnetic fields and variable quantities thereof into electric signals to be output, the number of the magnetic field sensors is not limited, and the magnetic field sensors can be selected according to actual production cost and required positioning accuracy level.
Under the display screen with the same size, the more the magnetic field sensors are arranged, the greater the density is, the more the number of magnetic induction partitions can be divided into the gesture induction partitions above the display screen, and after the special logic processing method in the embodiment of the application is adopted, the more precise air-separating gesture and the corresponding specific operation position can be identified, so that the air-separating gesture is responded.
The magnetic field sensors forming the magnetic field sensor array are respectively arranged at different positions below the display screen, and the specific arrangement mode can be set according to the size and the shape of the display screen, including but not limited to a square matrix or a circular matrix, and can also adopt an irregular arrangement mode.
The controller is used for acquiring magnetic field intensity change information in each magnetic induction partition, generating a magnetic intensity time change curve corresponding to each magnetic induction partition, and identifying the air separation gesture by combining each magnetic intensity time change curve; and the system is also used for executing processing events corresponding to the spaced gestures.
The controller is specifically configured to determine, in the entire change period, a first magnetic induction area where the magnetic field induction intensity changes most at an initial time and a second magnetic induction area where the magnetic field induction intensity changes most at a final time according to each magnetic intensity time change curve after entering the gesture sensing mode; and drawing a track graph starting to move from the first magnetic induction area to the second magnetic induction area in the gesture induction area according to the distribution positions of the magnetic induction areas in the gesture induction area, so as to obtain the air-separating gesture.
Illustratively, the controller is specifically configured to identify a strongest magnetic field partition with a maximum magnetic field induction strength change at each moment in the entire change period according to each magnetic strength time change curve after entering the gesture induction mode, and accordingly obtain a strongest partition time change table; and drawing a change track diagram of the strongest magnetic field partition in the gesture induction area according to the strongest partition time change table and the distribution positions of the magnetic induction partitions in the gesture induction area to obtain the air-separating gesture.
It should be noted that the electronic device may be a mobile phone, a tablet computer, a wearable device, an in-vehicle device, an Augmented Reality (AR)/Virtual Reality (VR) device, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), and other electronic devices, and the embodiment of the present application does not limit the specific type of the electronic device.
It will be understood by those skilled in the art that all or part of the steps of the gesture sensing method can be performed by instructions or related hardware controlled by the instructions, and the instructions can be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present application further provides a storage medium, where a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in the gesture sensing method provided in the embodiment of the present application.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A gesture sensing method is characterized by comprising the following steps:
dividing a preset gesture induction area into at least two magnetic induction subareas;
and acquiring magnetic field intensity change information in each magnetic induction zone, generating a magnetic intensity time change curve corresponding to each magnetic induction zone, and identifying the air separation gesture by combining each magnetic intensity time change curve.
2. The gesture sensing method according to claim 1, wherein the method of recognizing the air-spaced gesture in combination with each of the magnetic strength time variation curves comprises:
after entering a gesture induction mode, determining a first magnetic induction area with the maximum magnetic field induction intensity change at the initial moment and a second magnetic induction area with the maximum magnetic field induction intensity change at the final moment in the whole change period according to each magnetic intensity time change curve;
according to the distribution positions of the magnetic induction zones in the gesture induction zone, drawing a track graph which starts to move from the first magnetic induction zone to the second magnetic induction zone in the gesture induction zone, and obtaining the air separating gesture.
3. The gesture sensing method according to claim 2, wherein the method of recognizing the air-spaced gesture in combination with each of the magnetic strength time variation curves comprises:
after entering a gesture induction mode, identifying the strongest magnetic field subarea with the maximum magnetic field induction intensity change at each moment in the whole change period according to each magnetic intensity time change curve, and accordingly obtaining a strongest subarea time change table;
and drawing a change track diagram of the strongest magnetic field subarea in the gesture induction area according to the strongest subarea time change table and the distribution positions of the magnetic induction subareas in the gesture induction area to obtain the air separating gesture.
4. The gesture sensing method according to claim 2 or 3, wherein the entering method of the gesture sensing mode comprises: and when the magnetic field induction intensity of the gesture induction area is detected to start to change and exceeds a preset threshold value, the gesture induction mode is started.
5. The gesture sensing method according to claim 1, further comprising: and executing a processing event corresponding to the air-separating gesture after the air-separating gesture is recognized.
6. An electronic device comprising an array of magnetic field sensors and a controller;
the magnetic field sensor array is arranged in a preset gesture induction area, comprises at least two magnetic field sensors which are arranged according to a preset form, and divides the whole gesture induction area into at least two magnetic induction subareas;
the controller is used for acquiring magnetic field intensity change information in each magnetic induction zone, generating magnetic intensity time change curves corresponding to each magnetic induction zone, and identifying the air separation gesture by combining the magnetic intensity time change curves.
7. The electronic device according to claim 6, wherein the controller is specifically configured to determine, according to each of the magnetic strength time variation curves, a first magnetic induction area with a maximum variation in magnetic field induction strength at an initial time and a second magnetic induction area with a maximum variation in magnetic field induction strength at a final time in an entire variation period after entering the gesture sensing mode; according to the distribution positions of the magnetic induction zones in the gesture induction zone, drawing a track graph which starts to move from the first magnetic induction zone to the second magnetic induction zone in the gesture induction zone, and obtaining the air separating gesture.
8. The electronic device according to claim 6, wherein the controller is specifically configured to, after entering the gesture sensing mode, identify, according to each of the magnetic strength time variation curves, a strongest magnetic field segment whose magnetic field induction strength changes most at each time in the entire variation period, and accordingly obtain a strongest segment time variation table; and drawing a change track diagram of the strongest magnetic field subarea in the gesture induction area according to the strongest subarea time change table and the distribution positions of the magnetic induction subareas in the gesture induction area to obtain the air separating gesture.
9. The electronic device of claim 6, wherein the controller is further configured to execute a processing event corresponding to the clear gesture.
10. A storage medium storing instructions adapted to be loaded by a processor to perform the steps of the gesture sensing method according to any of claims 1 to 5.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022247616A1 (en) * 2021-05-28 2022-12-01 华为技术有限公司 Method and apparatus for sensing area separation during floating control, and floating control remote controller

Citations (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120154288A1 (en) * 2010-12-17 2012-06-21 Research In Motion Limited Portable electronic device having a sensor arrangement for gesture recognition
CN103440049A (en) * 2013-08-28 2013-12-11 深圳超多维光电子有限公司 Input device and input method
CN103605465A (en) * 2013-12-06 2014-02-26 上海艾为电子技术有限公司 Method for controlling handheld equipment and handheld equipment
WO2014048180A1 (en) * 2012-09-29 2014-04-03 华为技术有限公司 Method and apparatus for controlling terminal device by using non-contact gesture
CN103809748A (en) * 2013-12-16 2014-05-21 天津三星通信技术研究有限公司 Portable terminal and gesture recognition method thereof
CN104242426A (en) * 2014-07-16 2014-12-24 杨松 Wearable electronic device and control method and system of wearable electronic device
US20150029092A1 (en) * 2013-07-23 2015-01-29 Leap Motion, Inc. Systems and methods of interpreting complex gestures
CN104834371A (en) * 2015-03-13 2015-08-12 深圳拓邦股份有限公司 3d gesture knob module and intelligent control terminal
CN104951052A (en) * 2014-03-24 2015-09-30 联想(北京)有限公司 Information processing method and electronic equipment
US20150324004A1 (en) * 2014-05-12 2015-11-12 Samsung Electronics Co., Ltd. Electronic device and method for recognizing gesture by electronic device
CN105094432A (en) * 2015-08-12 2015-11-25 江苏惠通集团有限责任公司 Gesture recognition method and device and electronic device
CN105260010A (en) * 2014-07-17 2016-01-20 中兴通讯股份有限公司 Method for determining gesture track, and electronic equipment
CN106249899A (en) * 2016-08-15 2016-12-21 珠海格力电器股份有限公司 Gesture recognition system, electric appliance and control method thereof
US9575152B1 (en) * 2013-03-10 2017-02-21 Fonar Corporation Magnetic resonance imaging
CN107248272A (en) * 2017-06-07 2017-10-13 青岛海信电器股份有限公司 A kind of remote control thereof and remote control
US20170308284A1 (en) * 2016-04-20 2017-10-26 Samsung Electronics Co., Ltd. Cover device and electronic device including cover device
CN107340855A (en) * 2017-03-02 2017-11-10 北京理工大学 A kind of vehicle mounted multimedia gestural control method based on electrostatic detection
CN108279846A (en) * 2018-01-31 2018-07-13 北京硬壳科技有限公司 A kind of gesture model establishes, the method and device of gesture authentication
US10203759B1 (en) * 2013-08-19 2019-02-12 Maxim Integrated Products, Inc. Gesture detection device having an angled light collimating structure
CN110045819A (en) * 2019-03-01 2019-07-23 华为技术有限公司 A kind of gesture processing method and equipment
US20190317607A1 (en) * 2018-04-17 2019-10-17 Acer Incorporated Gesture input device
CN110442228A (en) * 2018-05-02 2019-11-12 宏碁股份有限公司 Gesture input device

Patent Citations (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120154288A1 (en) * 2010-12-17 2012-06-21 Research In Motion Limited Portable electronic device having a sensor arrangement for gesture recognition
WO2014048180A1 (en) * 2012-09-29 2014-04-03 华为技术有限公司 Method and apparatus for controlling terminal device by using non-contact gesture
US9575152B1 (en) * 2013-03-10 2017-02-21 Fonar Corporation Magnetic resonance imaging
US20150029092A1 (en) * 2013-07-23 2015-01-29 Leap Motion, Inc. Systems and methods of interpreting complex gestures
US10203759B1 (en) * 2013-08-19 2019-02-12 Maxim Integrated Products, Inc. Gesture detection device having an angled light collimating structure
CN103440049A (en) * 2013-08-28 2013-12-11 深圳超多维光电子有限公司 Input device and input method
CN103605465A (en) * 2013-12-06 2014-02-26 上海艾为电子技术有限公司 Method for controlling handheld equipment and handheld equipment
CN103809748A (en) * 2013-12-16 2014-05-21 天津三星通信技术研究有限公司 Portable terminal and gesture recognition method thereof
CN104951052A (en) * 2014-03-24 2015-09-30 联想(北京)有限公司 Information processing method and electronic equipment
US20150324004A1 (en) * 2014-05-12 2015-11-12 Samsung Electronics Co., Ltd. Electronic device and method for recognizing gesture by electronic device
CN104242426A (en) * 2014-07-16 2014-12-24 杨松 Wearable electronic device and control method and system of wearable electronic device
CN105260010A (en) * 2014-07-17 2016-01-20 中兴通讯股份有限公司 Method for determining gesture track, and electronic equipment
CN104834371A (en) * 2015-03-13 2015-08-12 深圳拓邦股份有限公司 3d gesture knob module and intelligent control terminal
CN105094432A (en) * 2015-08-12 2015-11-25 江苏惠通集团有限责任公司 Gesture recognition method and device and electronic device
US20170308284A1 (en) * 2016-04-20 2017-10-26 Samsung Electronics Co., Ltd. Cover device and electronic device including cover device
CN106249899A (en) * 2016-08-15 2016-12-21 珠海格力电器股份有限公司 Gesture recognition system, electric appliance and control method thereof
CN107340855A (en) * 2017-03-02 2017-11-10 北京理工大学 A kind of vehicle mounted multimedia gestural control method based on electrostatic detection
CN107248272A (en) * 2017-06-07 2017-10-13 青岛海信电器股份有限公司 A kind of remote control thereof and remote control
CN108279846A (en) * 2018-01-31 2018-07-13 北京硬壳科技有限公司 A kind of gesture model establishes, the method and device of gesture authentication
US20190317607A1 (en) * 2018-04-17 2019-10-17 Acer Incorporated Gesture input device
CN110442228A (en) * 2018-05-02 2019-11-12 宏碁股份有限公司 Gesture input device
CN110045819A (en) * 2019-03-01 2019-07-23 华为技术有限公司 A kind of gesture processing method and equipment

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
D. PROCHNOW等: "The neural correlates of affect reading: An fMRI study on faces and gestures", 《 BEHAVIOURAL BRAIN RESEARCH》, 15 January 2013 (2013-01-15), pages 270 - 277 *
王海鹏;龚岩;刘武;李泽;张思美;: "一种时空多尺度适应的手势识别方法研究", 计算机科学, no. 12, 15 December 2017 (2017-12-15) *
黄剑平;穆瑞珍;林海峰;: "基于电磁感应法的交变磁场测量电路设计", 传感技术学报, no. 02, 19 March 2018 (2018-03-19) *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022247616A1 (en) * 2021-05-28 2022-12-01 华为技术有限公司 Method and apparatus for sensing area separation during floating control, and floating control remote controller

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