CN106293103A - Four-axle aircraft gesture control device based on inertial sensor and control method - Google Patents
Four-axle aircraft gesture control device based on inertial sensor and control method Download PDFInfo
- Publication number
- CN106293103A CN106293103A CN201610920077.XA CN201610920077A CN106293103A CN 106293103 A CN106293103 A CN 106293103A CN 201610920077 A CN201610920077 A CN 201610920077A CN 106293103 A CN106293103 A CN 106293103A
- Authority
- CN
- China
- Prior art keywords
- finger
- gesture
- hand
- flattened
- remaining
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The present invention relates to body-sensing gesture control device and the control method of a kind of four-axle aircraft, gesture control device includes: controller and inertial sensor.Described inertia sensing node must comprise three axis angular rate meter and three axis accelerometers, or six axle inertial sensors of both one, in three axle magnetometers can be not included in.Described inertia sensing node is fixed on finger second knuckle back and Y-axis positive direction points to finger tip.Described athletic posture merges employing strap-down navigation algorithm.Integrated six axle inertial sensors on described controller, as reference point, the actual angle measurement degree of finger is the inertial sensor relative angle with reference point of finger-joint.Control method, can be divided into sensors configured, Acquisition Error and calculating finger three steps of instruction according to the sequencing gathered, process by process.Described control method only uses roll angle to judge finger gesture.Described Left-hand gesture instructs, and determines accelerator gear according to flattened finger number.Described right-hand gesture instructs, and determines that aircraft is to forward and backward, left and right heading according to thumb and remaining four receipts of stretching referred to.
Description
Technical field
The present invention relates to a kind of gesture control device and method, particularly to four-axle aircraft hands based on inertial sensor
Gesture controls device and control method.
Background technology
In recent years, four-axle aircraft, as a kind of special " self-shooting bar ", is the most gradually popularized in consumption market.So
And for the control mode of four-axle aircraft, the most commercial product remains based on handle operation.The most also some research
People attempts utilizing gestures to control four-axle aircraft, and it is exactly gesture identification and gesture instruction that gesture controls most crucial part.
At present, gesture identification generally has two ways, and a kind of mode is based on machine vision.That is, by binocular camera,
Extracting captured three-dimensional depth of view information, gesture is done three-dimensional reconstruction the most again, Typical Representative is exactly kinect and leap
motion.This mode, maximum advantage can realize the operation of naked hands, and this is optimal control mode.But, shortcoming is exactly
Requiring harsher to ambient light, illumination power, uniformity etc. are the biggest on the impact of discrimination.It addition, hands based on image
What gesture recognizer was carried out is all Second Order Vector computing, needs special graphic process unit to be accelerated, whole processing procedure
Time delay and power consumption are the biggest, are the most all to use on the host device.
Another way is based on sensor technology, i.e. utilize the various kinds of sensors detection with finger-joint laminating to sell
Finger action.Wherein, a topmost class sensor is exactly inertial sensor.This inertial sensor generally comprises three axle gyros
Instrument, three axis accelerometer (portioned product also comprises three axle magnetometers).This gesture identification mode, maximum advantage is measured exactly
Data direct, quick, low in energy consumption and affected by environment little, it is adaptable to the scene higher to requirement of real-time, the suitableeest
Together in manipulating four-axle aircraft out of doors.
, there are three problems: (1) accuracy of identification and speed cannot in existing gestural control method based on inertial sensor
Taking into account, some employs 9 axle inertial sensors and corresponding attitude algorithm algorithm, the precision of the attitude algorithm that covets, this side
After case resolves, stable time delay to reach tens the most hundreds of milliseconds;3 axle inertial sensors are only used not do attitude algorithm
And fusion, directly use initial data to make a decision, follow-up accuracy of identification is affected very by the drift of this scheme lower sensor itself
Greatly.(2) robustness of gesture identification is inadequate, and simply when palm keeps a certain given pose, discrimination is higher, such as flat act, and
When hand has an angle of inclination, then discrimination drastically declines.(3) diversity of gesture instruction is obvious not, such as, rotates hands
Wrist and swinging arm, also can occur slight spinning movement, easily produce maloperation when of swing.
Summary of the invention
The problem that invention is to be solved
The technical problem to be solved in the present invention is, how to balance gesture identification accuracy and speed, improves gesture identification Shandong
Rod and propose a set of diversity significantly facilitate stable identification gesture motion instruction.
For solving the scheme of problem
In view of this, the present invention proposes a kind of four-axle aircraft gesture control device based on inertial sensor and control
Method, proposes solution for the problems referred to above.
On the one hand, it is proposed that a kind of gesture control device, including controller, inertia sensing node.Wherein, described control
Device is fixed on the back of the hand, and described inertia sensing node is fixed at finger second knuckle.Described inertial sensor is used for gathering hands
The athletic posture angle information that refers to also exports to controller, described controller for gathering the output data of described sensor, and to
Four-axle aircraft sends control instruction.
Described inertia sensing node must comprise three axis angular rate meter and three axis accelerometers, and three axle magnetometers can not comprise
Including.
Described inertia sensing node is fixed on finger second knuckle back and Y-axis positive direction points to finger tip.
Described athletic posture merges employing strap-down navigation algorithm, and the pitch angle measurement scope after fusion is-80 °~+80 °;
It is-180 °~180 ° that roll angle measures scope;Earth magnetism causes yaw angle persistently to be drifted about, without accurate results.
In described control method, roll angle is only used to judge finger gesture.
An integrated inertial sensor on described controller, as reference point, the actual angle measurement degree of finger is that finger closes
The inertial sensor of joint and the relative angle of reference point.
On the other hand, it is proposed that a kind of control method, step is implemented as follows:
Step 1: sensors configured Acquisition Error value, refers to according to necessarily requiring sensors configured, and acquisition angle speed
Degree and the error amount of acceleration.
Step 2: gather finger information and calculate the degree of crook of finger, referring to gather acceleration and the angle of each finger
Speed, calculates each finger degree of crook relative to the back of the hand.
Step 3: calculate current gesture and send corresponding control command, refers to the digital flexion degree according to both hands,
Calculate current gesture, and send corresponding gesture control instruction to four-axle aircraft.
Described left hand control instruction, particularly as follows:
One grade of throttle: the palm of the hand is towards ground, and flattened forefinger, remaining finger is curled.Described gesture is as a example by forefinger, it is also possible to be it
The flattened action of remaining any one finger.
Two grades of throttle: the palm of the hand is towards ground, and flattened forefinger and middle finger, remaining finger is curled.Described gesture with forefinger and middle finger is
Example, it is also possible to be the flattened action of remaining any two finger.
Throttle third gear: the palm of the hand is towards ground, and flattened forefinger, middle finger and the third finger, remaining finger is curled.Described gesture with forefinger,
As a example by middle finger and the third finger, it is also possible to be the flattened action of remaining any three finger.
Throttle fourth gear: the palm of the hand is towards ground, and flattened forefinger, middle finger, the third finger and little finger, thumb is curled.Described gesture with
As a example by forefinger, middle finger, the third finger and little finger, it is also possible to be the flattened action of remaining any four finger.
Five grades of throttle: represent the palm of the hand towards ground, flattened five fingers.
Described right-hand gesture instructs, particularly as follows:
Flight forward: the palm of the hand is towards sky, and thumb is curled, remaining four finger is flattened.
Flight backward: the palm of the hand is towards sky, and thumb is curled, remaining four finger is curled and is pressed on thumb.
Flight to the left: the palm of the hand is towards ground, and thumb is flattened to the left, remaining four finger is curled.
Flight to the right: the palm of the hand is towards sky, and thumb is flattened to the right, remaining four finger is curled.
Accompanying drawing explanation
Fig. 1: be the left gesture command schematic diagram controlling device of the present invention;
Fig. 2: be the right gesture command schematic diagram controlling device of the present invention;
Fig. 3: be the schematic diagram controlling device of the present invention;
Fig. 4: be the control flow chart of the present invention;
Detailed description of the invention
Various exemplary embodiments, feature and the aspect of the present invention is described in detail below with reference to accompanying drawing.In accompanying drawing identical
Reference represent the same or analogous element of function.Although the various aspects of embodiment shown in the drawings, but remove
Non-specifically is pointed out, it is not necessary to accompanying drawing drawn to scale.
The most special word " exemplary " means " as example, embodiment or illustrative ".Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
It addition, in order to better illustrate the present invention, detailed description of the invention below gives numerous details.
It will be appreciated by those skilled in the art that do not have some detail, the present invention equally implements.In some instances, for
Method well known to those skilled in the art, means, element and circuit are not described in detail, in order to highlight the purport of the present invention.
Fig. 1 illustrates the left gesture command signal controlling device of one embodiment of the invention, finger numbering 101~105 in figure
Represent left hand thumb, forefinger, middle finger, the third finger, thumb the most successively.Left hand controls the throttle of four-axle aircraft, gesture
106~110 represent that controlling throttle is divided into five grades from low to high respectively.
Left hand gesture 106: represent the palm of the hand towards ground, flattened forefinger, remaining finger curls, and it is one grade that this gesture controls throttle.Institute
State gesture as a example by forefinger, it is also possible to be the flattened action of remaining any one finger.
Left hand gesture 107: represent the palm of the hand towards ground, flattened forefinger and middle finger, remaining finger curls, and it is two that this gesture controls throttle
Shelves.Described gesture is as a example by forefinger and middle finger, it is also possible to be the flattened action of remaining any two finger.
Left hand gesture 108: represent the palm of the hand towards ground, flattened forefinger, middle finger and the third finger, remaining finger curls, and this gesture controls
Throttle is third gear.Described gesture is as a example by forefinger, middle finger and the third finger, it is also possible to be the flattened dynamic of remaining any three finger
Make.
Left hand gesture 109: represent the palm of the hand towards ground, flattened forefinger, middle finger, the third finger and little finger, thumb curls, this gesture
Control throttle is fourth gear.Described gesture is as a example by forefinger, middle finger, the third finger and little finger, it is also possible to be remaining any four hands
The flattened action referred to.
Left hand gesture 110: represent the palm of the hand towards ground, flattened five fingers.It is five grades that this gesture controls throttle.
Fig. 2 illustrates the control device right gesture command schematic diagram of one embodiment of the invention, finger numbering 201 in figure
~205 represent right hand thumb, forefinger, middle finger, the third finger, thumb the most successively.Right hand gesture 206~209 represents control respectively
Four-axle aircraft processed forward, backward, to the left, to the right four direction flight, what is called direction all around is relative to four axles herein
The initial position of aircraft.
Right hand gesture 206: the expression palm of the hand is towards sky, and thumb is curled, remaining four finger is flattened, and this gesture controls aircraft and flies forward
OK.
Right hand gesture 207: represent the palm of the hand towards sky, thumb is curled, remaining four refer to curl and be pressed on thumb, this gesture control
Aircraft processed flies backward.
Right hand gesture 208: represent the palm of the hand towards ground, thumb is flattened to the left, remaining four refer to curl, this gesture control aircraft to
Left flight.
Right hand gesture 209: represent the palm of the hand towards sky, thumb is flattened to the right, remaining four refer to curl, this gesture control aircraft to
Right flight.
Fig. 3 illustrates that control device 300, connecting line 309 and the articulations digitorum manus of the present invention one example detects the signal of device 310
Figure, as it can be seen, this control device includes microcontroller 301, inertial sensor 302, wireless transport module (1) 303, wireless biography
Other peripheral modules 306 such as defeated module (2) 304, power module 305, LED, this detection device includes that connection jaws 307, inertia pass
Sensor 308.Wherein, described microcontroller 301 passes through SPI communication respectively at described inertial sensor module 302, described wireless biography
Defeated module (1) 303, described wireless transport module (2) 304, described connection jaws 307 connect.Described interface line 307 and described inertia
Sensor 308 is directly connected to.Control device 300 to be fixed on the back of the hand and the Y-axis positive direction sensing four of described inertial sensor 302
Individual finger.Detection device 310 is fixed on the Y-axis positive direction of finger second knuckle back and described inertial sensor 308 and refers to
First lid.
Fig. 4 illustrates that the present invention provides the control method of a kind of four-axle aircraft.Implement step as follows:
Step 1: sensors configured Acquisition Error value
In a kind of possible implementation, controller requires configuration inertial sensor according to certain and control inertia sensing
Device is according to the angular velocity Gyro of certain speed acquisition finger and acceleration A cc, and two kinds of data are read in controllers counts respectively
Calculate angular velocity error e _ gyro and acceleration error e_acc.Wherein, angular velocity and acceleration are trivector.
In one embodiment:
The both hands the five fingers closed up the back of the hand horizontal positioned upward and keeps resting state, gather acceleration and magnitude of angular velocity and remember
Record times of collection num.
The size of acquisition angle speed: Gyro (i)=Gyro_Correct ()
The size of collection acceleration: Acc (i)=Acc_Correct ()
Calculating angular velocity error:
Calculating acceleration error:
Step 2: gather finger information and calculate the degree of crook of finger
In a kind of possible implementation, acquisition angle speed Gyro (i), acceleration A cc (i) use inertial navigation algorithm
(IMU) carry out finger gesture resolving and calculate the degree of crook of finger.
In one embodiment:
(1) first the Gyro (i) collected, Acc (i) are calibrated
With
Wherein, Final.Gyro (i) .X, Final.Gyro (i) .Y, Final.Gyro (i) .Z, Final.Acc (i) .X
Final.Acc (i) .Y, Final.Acc (i) .Z represents the angular velocity after calibration, acceleration each axle size respectively.
(2) again calibration after acceleration, angular velocity unitization, obtain FN.Gyro (i) .X, FN.Gyro (i) .Y,
FN.Gyro(i).Z、FN.Acc(i).X、FN.Acc(i).Y、FN.Acc(i).Z。
(3) the acceleration of gravity vector in geographic coordinate systemPass through pose transformation matrixChange into
Vector in carrier coordinate systemSo
Wherein,It is by quaternary numberThe matrix constituted and the initial value of quaternary number
(4) under carrier coordinate system, calculate acceleration FN.Acc (i) that measured of inertial sensor and turned by attitude matrix
Error between the acceleration V changed, is denoted as e.
E=FN.Acc (i) × V (6)
(5) proportion of utilization, integration correction angle speed, correction δ and revised angular velocity w are respectively:
δ=Kpe+Ki∫e (7)
W=FN.Gyro (i)+δ (8)
(6) revised angular velocity is utilized to go to update quaternary number
Obtained by quaternion differential equation:
WhereinIt it is each component of quaternary number after updating
(7) utilize with the quaternary number after new obtains Eulerian angles
Course angle:
The angle of pitch: pitch=arcsin (2 (q0q2-q1q3))
Roll angle:
Roll angle is exactly the angle that inertial sensor rotates around X-axis, is denoted as D0, therefore calculate the inertial sensor on the back of the hand
302 angles D rotated around X-axis0Angle D rotated around X-axis with inertial sensor 308 (except thumb) on each fingeri, then
Angle DT that each finger (except thumb) bends relative to the back of the handi=Di-D0。
Step 3: calculate current gesture and send corresponding control command
In a kind of possible implementation, when the five fingers close up stretch the back of the hand keep static upward time, D0At C1To C2It
Between.Such as, through experiment is repeated several times, surveying-3 ° to+3 ° is steady statue.Being used on forefinger, middle finger, the third finger, little finger
Angle D that property sensor rotates around X-axis2、D3、D4、D5At C3To C4Between, such as, through experiment is repeated several times, actual measurement is when four fingers
Closing up to stretch keeps steady timing point to show between-3 ° to+5 °.The angle that inertial sensor on thumb rotates around X-axis
D1At C5To C6Between, such as, through experiment is repeated several times, actual measurement is steady statue between 30 ° to 40 °.
When the back of the hand level upward four refer to second knuckles hold, thumb towards be perpendicular to four finger directions open time, D2、D3、D4、
D5All at C7To C8Between, such as, through experiment is repeated several times, field data show is stable between 75 ° Dao+93 °.D1At C9Arrive
C10Between, such as, stable between 70 ° to 87 ° through experimental data is repeated several times.
Comprehensively learn, work as DTi(i=2,3,4,5) are at 0 ° to (C4-C1+ ε) ° between time, such as time between 0 ° Dao+10 °,
Think DTiCorresponding finger is in straight configuration relative to the back of the hand;Work as D1At 0 ° to (C6+ ε) between time, such as at 0 ° Dao+40 °
Between time, it is believed that thumb is in and closes up state.Wherein ε represents the least angle allowance.
Work as DTi(i=2,3,4,5) are more than (C7+ ε) time, when being greater than 65 °, it is believed that DTiCorresponding finger is relative to hands
The back of the body is in the state of holding;Work as D1More than (C9+ ε) time, when being greater than 70 °, it is believed that thumb is in open configuration.
Thus open according to finger or which gesture is the number held it is determined that be currently at, the most backward four axles fly
Row device sends the order corresponding to gesture.
Claims (9)
1. gesture control device, it is characterised in that including: controller, inertia sensing node, wherein, described controller is fixed on
On the back of the hand, described inertia sensing node is fixed at finger second knuckle;Described inertial sensor is for gathering the motion of finger
Attitude angle information also exports to controller, and described controller is for gathering the output data of described sensor, and flies to four axles
Device sends control instruction.
Gesture control device the most according to claim 1, it is characterised in that described inertia sensing node must comprise three axles
Turn meter and three axis accelerometer, or six axle inertial sensors of both one, in three axle magnetometers can be not included in.
Gesture control device the most according to claim 1, it is characterised in that described inertia sensing node is fixed on finger
Two refer to that joint back and Y-axis positive direction point to finger tip.
Gesture control device the most according to claim 1, it is characterised in that described athletic posture merges employing strap-down navigation
Algorithm, the pitch angle measurement scope after fusion is-90 ° ~+90 °;It is-180 ° ~ 180 ° that roll angle measures scope;Earth magnetism causes partially
Boat angle persistently drifts about, without accurate results.
Gesture control device the most according to claim 1, it is characterised in that integrated six axle inertia on described controller
Sensor, as reference point, the actual angle measurement degree of finger is the inertial sensor relative angle with reference point of finger-joint.
6. on the other hand, it is proposed that a kind of control method, it is characterised in that
Process can be divided into three steps according to the sequencing gathered, process by described control method:
Step 1: sensors configured Acquisition Error value, refers to according to necessarily requiring sensors configured, and acquisition angle speed and
The error amount of acceleration;
Step 2: gather finger information and calculate the degree of crook of finger, refers to gather the acceleration of each finger and angle speed
Degree, calculates each finger degree of crook relative to the back of the hand;
Step 3: calculate current gesture and send corresponding control command, refers to the digital flexion degree according to both hands, calculates
Go out current gesture, and send corresponding gesture control instruction to four-axle aircraft.
Gestural control method the most according to claim 6, it is characterised in that in described control method, only uses roll angle
Judge finger gesture.
Gestural control method the most according to claim 6, it is characterised in that described left hand control instruction, particularly as follows:
One grade of throttle: the palm of the hand is towards ground, and flattened forefinger, remaining finger is curled;Described gesture is as a example by forefinger, it is also possible to be remaining
The flattened action of a piece finger of meaning;
Two grades of throttle: the palm of the hand is towards ground, and flattened forefinger and middle finger, remaining finger is curled;Described gesture is as a example by forefinger and middle finger, also
It can be the flattened action of remaining any two finger;
Throttle third gear: the palm of the hand is towards ground, and flattened forefinger, middle finger and the third finger, remaining finger is curled;Described gesture is with forefinger, middle finger
As a example by the third finger, it is also possible to be the flattened action of remaining any three finger;
Throttle fourth gear: the palm of the hand is towards ground, and flattened forefinger, middle finger, the third finger and little finger, thumb is curled;Described gesture with forefinger,
As a example by middle finger, the third finger and little finger, it is also possible to be the flattened action of remaining any four finger;
Five grades of throttle: represent the palm of the hand towards ground, flattened five fingers.
Gestural control method the most according to claim 6, it is characterised in that
Described right-hand gesture instructs, particularly as follows:
Flight forward: the palm of the hand is towards sky, and thumb is curled, remaining four finger is flattened;
Flight backward: the palm of the hand is towards sky, and thumb is curled, remaining four finger is curled and is pressed on thumb;
Flight to the left: the palm of the hand is towards ground, and thumb is flattened to the left, remaining four finger is curled;
Flight to the right: the palm of the hand is towards sky, and thumb is flattened to the right, remaining four finger is curled.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610920077.XA CN106293103B (en) | 2016-10-21 | 2016-10-21 | Gesture control device and gesture control method for four-axis aircraft based on inertial sensor |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610920077.XA CN106293103B (en) | 2016-10-21 | 2016-10-21 | Gesture control device and gesture control method for four-axis aircraft based on inertial sensor |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106293103A true CN106293103A (en) | 2017-01-04 |
CN106293103B CN106293103B (en) | 2023-09-26 |
Family
ID=57720443
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610920077.XA Active CN106293103B (en) | 2016-10-21 | 2016-10-21 | Gesture control device and gesture control method for four-axis aircraft based on inertial sensor |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106293103B (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107024939A (en) * | 2017-06-14 | 2017-08-08 | 南昌航空大学 | A kind of intelligent expanding device of four rotors and its control method |
CN107831791A (en) * | 2017-11-17 | 2018-03-23 | 南方科技大学 | A kind of control method of unmanned plane, device, controlling equipment and storage medium |
CN108710443A (en) * | 2018-05-21 | 2018-10-26 | 云谷(固安)科技有限公司 | The generation method and control system of displacement data |
CN109032160A (en) * | 2018-07-27 | 2018-12-18 | 北京臻迪科技股份有限公司 | Attitude control system, method and UAV system |
CN110779553A (en) * | 2019-12-03 | 2020-02-11 | 中国科学院电子学研究所 | Calibration method for magnetometer data |
CN111158478A (en) * | 2019-12-26 | 2020-05-15 | 维沃移动通信有限公司 | Response method and electronic equipment |
CN111461059A (en) * | 2020-04-21 | 2020-07-28 | 哈尔滨拓博科技有限公司 | Multi-zone multi-classification extensible gesture recognition control device and control method |
CN112655194A (en) * | 2018-09-11 | 2021-04-13 | 三星电子株式会社 | Electronic device and method for capturing views |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020012014A1 (en) * | 2000-06-01 | 2002-01-31 | Olympus Optical Co., Ltd. | Operation input apparatus using sensor attachable to operator's hand |
US6515669B1 (en) * | 1998-10-23 | 2003-02-04 | Olympus Optical Co., Ltd. | Operation input device applied to three-dimensional input device |
CN101033973A (en) * | 2007-04-10 | 2007-09-12 | 南京航空航天大学 | Attitude determination method of mini-aircraft inertial integrated navigation system |
JP2008065860A (en) * | 2007-11-26 | 2008-03-21 | Olympus Corp | Operation input device |
JP2008102951A (en) * | 2007-11-26 | 2008-05-01 | Olympus Corp | Operation input device |
JP2008112459A (en) * | 2007-11-26 | 2008-05-15 | Olympus Corp | Operation input device |
JP2008135033A (en) * | 2007-11-26 | 2008-06-12 | Olympus Corp | Hand posture operation detector |
CN106342284B (en) * | 2008-08-18 | 2011-11-23 | 西北工业大学 | A kind of flight carrier attitude is determined method |
CN103112007A (en) * | 2013-02-06 | 2013-05-22 | 华南理工大学 | Human-machine interaction method based on mixing sensor |
CN103175502A (en) * | 2013-02-07 | 2013-06-26 | 广州畅途软件有限公司 | Attitude angle detecting method based on low-speed movement of data glove |
CN203759869U (en) * | 2014-03-20 | 2014-08-06 | 西南科技大学 | Gesture sensing type aircraft remote controller |
CN104345904A (en) * | 2013-07-23 | 2015-02-11 | 西安艾尔特仪器有限公司 | Finger-type air mouse |
-
2016
- 2016-10-21 CN CN201610920077.XA patent/CN106293103B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6515669B1 (en) * | 1998-10-23 | 2003-02-04 | Olympus Optical Co., Ltd. | Operation input device applied to three-dimensional input device |
US20020012014A1 (en) * | 2000-06-01 | 2002-01-31 | Olympus Optical Co., Ltd. | Operation input apparatus using sensor attachable to operator's hand |
CN101033973A (en) * | 2007-04-10 | 2007-09-12 | 南京航空航天大学 | Attitude determination method of mini-aircraft inertial integrated navigation system |
JP2008065860A (en) * | 2007-11-26 | 2008-03-21 | Olympus Corp | Operation input device |
JP2008102951A (en) * | 2007-11-26 | 2008-05-01 | Olympus Corp | Operation input device |
JP2008112459A (en) * | 2007-11-26 | 2008-05-15 | Olympus Corp | Operation input device |
JP2008135033A (en) * | 2007-11-26 | 2008-06-12 | Olympus Corp | Hand posture operation detector |
CN106342284B (en) * | 2008-08-18 | 2011-11-23 | 西北工业大学 | A kind of flight carrier attitude is determined method |
CN103112007A (en) * | 2013-02-06 | 2013-05-22 | 华南理工大学 | Human-machine interaction method based on mixing sensor |
CN103175502A (en) * | 2013-02-07 | 2013-06-26 | 广州畅途软件有限公司 | Attitude angle detecting method based on low-speed movement of data glove |
CN104345904A (en) * | 2013-07-23 | 2015-02-11 | 西安艾尔特仪器有限公司 | Finger-type air mouse |
CN203759869U (en) * | 2014-03-20 | 2014-08-06 | 西南科技大学 | Gesture sensing type aircraft remote controller |
Non-Patent Citations (2)
Title |
---|
王伟栋;费洁;杨英东;钱峰;: "基于MEMS的数据手套传感技术研究", no. 21 * |
陈鹏展;李杰;罗漫;: "网络化手势运动跟踪系统设计", no. 02 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107024939A (en) * | 2017-06-14 | 2017-08-08 | 南昌航空大学 | A kind of intelligent expanding device of four rotors and its control method |
CN107831791A (en) * | 2017-11-17 | 2018-03-23 | 南方科技大学 | A kind of control method of unmanned plane, device, controlling equipment and storage medium |
CN107831791B (en) * | 2017-11-17 | 2020-12-15 | 深圳意动航空科技有限公司 | Unmanned aerial vehicle control method and device, control equipment and storage medium |
CN108710443A (en) * | 2018-05-21 | 2018-10-26 | 云谷(固安)科技有限公司 | The generation method and control system of displacement data |
CN108710443B (en) * | 2018-05-21 | 2021-09-07 | 云谷(固安)科技有限公司 | Displacement data generation method and control system |
CN109032160A (en) * | 2018-07-27 | 2018-12-18 | 北京臻迪科技股份有限公司 | Attitude control system, method and UAV system |
CN112655194A (en) * | 2018-09-11 | 2021-04-13 | 三星电子株式会社 | Electronic device and method for capturing views |
CN112655194B (en) * | 2018-09-11 | 2022-07-19 | 三星电子株式会社 | Electronic device and method for capturing views |
CN110779553A (en) * | 2019-12-03 | 2020-02-11 | 中国科学院电子学研究所 | Calibration method for magnetometer data |
CN111158478A (en) * | 2019-12-26 | 2020-05-15 | 维沃移动通信有限公司 | Response method and electronic equipment |
CN111461059A (en) * | 2020-04-21 | 2020-07-28 | 哈尔滨拓博科技有限公司 | Multi-zone multi-classification extensible gesture recognition control device and control method |
Also Published As
Publication number | Publication date |
---|---|
CN106293103B (en) | 2023-09-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106293103A (en) | Four-axle aircraft gesture control device based on inertial sensor and control method | |
CN203759869U (en) | Gesture sensing type aircraft remote controller | |
Lu et al. | Gesture recognition using data glove: An extreme learning machine method | |
CN104238562A (en) | Method and Apparatus for Controlling a Robotic Device via Wearable Sensors | |
CN104956648B (en) | Method and apparatus for sensing the orientation of object in space in fixed reference frame | |
CN106445130A (en) | Motion capture glove for gesture recognition and calibration method thereof | |
CN107016342A (en) | A kind of action identification method and system | |
CN108268129A (en) | The method and apparatus and motion capture gloves calibrated to multiple sensors on motion capture gloves | |
CN106153073B (en) | A kind of nonlinear initial alignment method of full posture Strapdown Inertial Navigation System | |
CN104536558A (en) | Intelligent ring and method for controlling intelligent equipment | |
CN107543546A (en) | A kind of attitude algorithm method and device of six axis movement sensors | |
CN106643715A (en) | Indoor inertial navigation method based on bp neural network improvement | |
CN108279773B (en) | Data glove based on MARG sensor and magnetic field positioning technology | |
CN104772756A (en) | Mechanical arm based on inertial measurement units and control method thereof | |
CN109000633A (en) | Human body attitude motion capture algorithm design based on isomeric data fusion | |
CN103487011A (en) | Method for detecting attitude angle of data glove | |
CN106108909A (en) | A kind of human body attitude detection wearable device, system and control method | |
CN103776450A (en) | Semi-strapdown inertial measurement and navigation algorithm suitable for high-speed rotary flying body | |
US10424224B2 (en) | Glove for use in collecting data for sign language recognition | |
Yu et al. | End-side gesture recognition method for UAV control | |
CN113029153B (en) | Multi-scene PDR positioning method based on intelligent mobile phone multi-sensor fusion and SVM classification | |
CN114355959B (en) | Attitude output feedback control method, device, medium and equipment for aerial robot | |
CN104516353A (en) | Distributed underwater biotic robot attitude stabilizing system | |
Sidek et al. | Wireless gesture recognition system using MEMS accelerometer | |
CN206132067U (en) | Fuse navigation processing system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |