CN105807640A - Terminal control method and terminal control system - Google Patents

Terminal control method and terminal control system Download PDF

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Publication number
CN105807640A
CN105807640A CN201410849025.9A CN201410849025A CN105807640A CN 105807640 A CN105807640 A CN 105807640A CN 201410849025 A CN201410849025 A CN 201410849025A CN 105807640 A CN105807640 A CN 105807640A
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electromyographic signal
terminal
eigenvalue
default
continuous sampling
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李博
胡甜
康君平
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Shenzhen TCL New Technology Co Ltd
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Shenzhen TCL New Technology Co Ltd
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Abstract

The invention discloses a terminal control method. When a mouse operation mode of a terminal is turned on, an electromyographic signal detection device is used to detect an electromyographic signal in the above mentioned mode, and then the characteristic value of the electromyographic signal can be acquired. The characteristic value of the electromyographic signal is the wavelet coefficient mean value and/or the variance acquired by adopting the wavelet decomposition of the electromyographic signal. Whether the characteristic value of the electromyographic signal is matched with the preset first characteristic value can be determined. When the characteristic value of the electromyographic signal is matched with the preset first characteristic value, the control code of the characteristic value of the electromyographic signal can be determined according to the mapping relation between the first characteristic value and the control code. The response to the control signal corresponding to the control code can be carried out. The invention also discloses a terminal control system. The control over the terminal based on the gesture or the motion can be realized, and the space occupied by the electromyographic signal detection device is small, and therefore the device is portable, the control operation process is facilitated, and the control efficiency is improved.

Description

Terminal control method and system
Technical field
The present invention relates to field of intelligent control, particularly relate to terminal control method and system.
Background technology
Development along with science and technology, terminal such as television set, air-conditioner etc. are more and more intelligent, and these terminals are typically necessary and are controlled by remote controller, and the button that the remote controller that no matter existing remote controller is universal remote control or terminal is worn all requires on remote controller is to control controlled terminal, remote controller needs arrange multiple function button, take volume big, not portable, and it is complicated to cause controlling operating process, reduces control efficiency.
Summary of the invention
Present invention is primarily targeted at solution remote controller, to take volume big and not portable, and it is complicated to cause controlling operating process, reduces the technical problem of control efficiency.
For achieving the above object, a kind of terminal control method provided by the invention, including step:
After terminal enters mouse action mode, detect the electromyographic signal that under this pattern, electromyographic signal detecting device detects, and obtain the eigenvalue of described electromyographic signal, wherein, the eigenvalue of described electromyographic signal is that described electromyographic signal carries out wavelet coefficient meansigma methods and/or the variance that wavelet decomposition obtains;
Whether the eigenvalue of electromyographic signal described in described terminal judges mates with default the First Eigenvalue;
If the eigenvalue of the described electromyographic signal of described terminal mates with the First Eigenvalue preset, then according to the mapping relations between the First Eigenvalue and control routine, it is determined that the control routine that the eigenvalue of described electromyographic signal is corresponding;
Control signal corresponding to control routine described in described terminal response.
Preferably, the described terminal detecting electromyographic signal that detects of electromyographic signal detecting device, and before obtaining the step of eigenvalue of the electromyographic signal detected, also include:
Described terminal receives the operation of user's hand shake, obtains the eigenvalue of received hand shake operation;
The eigenvalue that described hand shake is operated by described terminal and the Second Eigenvalue comparison preset;
When the eigenvalue that described hand shake operates mates with the Second Eigenvalue preset, described terminal enters mouse action mode.
Preferably, described terminal detects the electromyographic signal that electromyographic signal detecting device detects, and the step obtaining the eigenvalue of described electromyographic signal includes:
When detecting the electromyographic signal that electromyographic signal detecting device detects, the electromyographic signal detected is sampled by described terminal, and obtains the energy value that each sampled point is corresponding;
Energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal is using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal;
Energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal is using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
Extract the eigenvalue of effective electromyographic signal between described starting point and terminal.
Preferably, the described energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal obtains the starting point of the first electromyographic signal section at the plurality of continuous sampling point place and includes as the step of the starting point of effective electromyographic signal:
Energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal obtains the energy value of the first electromyographic signal section at the plurality of continuous sampling point place;
When the energy value of described first electromyographic signal section is more than default first energy threshold, described terminal is using the starting point of the described first electromyographic signal section starting point as effective electromyographic signal.
Preferably, the described energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, the terminal of the second electromyographic signal section at the plurality of continuous sampling point place is included by described terminal as the step of the terminal of effective electromyographic signal:
Energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal obtains the energy value of the second electromyographic signal section at the plurality of continuous sampling point place;
When the energy value of described second electromyographic signal section is less than default second energy threshold, described terminal is using the terminal of the described second electromyographic signal section terminal as effective electromyographic signal.
Preferably, the eigenvalue step of the described electromyographic signal of described acquisition includes:
Described terminal detecting electromyographic signal in this mode, obtains the acceleration of the electromyographic signal respective operations object detected;
Whether the acquired accekeration of described terminal judges is more than predetermined acceleration threshold value;
Described terminal, when acquired accekeration is more than predetermined acceleration threshold value, obtains the eigenvalue of described electromyographic signal.
Additionally, for achieving the above object, the present invention also proposes a kind of terminal control system, including:
Detecting module, after being used for entering mouse action mode, detects the electromyographic signal that under this pattern, electromyographic signal detecting device detects;
Acquisition module, for obtaining the eigenvalue of described electromyographic signal, wherein, the eigenvalue of described electromyographic signal is that described electromyographic signal carries out wavelet coefficient meansigma methods and/or the variance that wavelet decomposition obtains;
Judge module, for judging whether the eigenvalue of described electromyographic signal mates with default the First Eigenvalue;
Processing module, if the eigenvalue for described electromyographic signal mates with default the First Eigenvalue, then according to the mapping relations between the First Eigenvalue and control routine, it is determined that the control routine that the eigenvalue of described electromyographic signal is corresponding;
Respond module, for responding the control signal corresponding to described control routine.
Preferably, described detecting module, it is additionally operable to receive the operation of user's hand shake;
Described acquisition module, is additionally operable to obtain the eigenvalue of received hand shake operation;
Described judge module, is additionally operable to the eigenvalue operated by described hand shake and the Second Eigenvalue comparison preset;
Described processing module, is additionally operable to, when the eigenvalue that described hand shake operates mates with the Second Eigenvalue preset, enter mouse action mode.
Preferably, described acquisition module includes:
Sampling submodule, for when detecting the electromyographic signal that electromyographic signal detecting device sends, sampling to the electromyographic signal detected;
Energy value obtains submodule, for obtaining the energy value that each sampled point is corresponding;
Starting point obtains submodule, for the first energy threshold being all higher than presetting at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default first amount threshold time, using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal;
Terminal obtains submodule, energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
Extraction module, for extracting the eigenvalue of the effective electromyographic signal between described starting point and terminal.
Preferably, described starting point acquisition submodule includes:
First energy value acquiring unit, for the first energy threshold being all higher than presetting at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default first amount threshold time, obtain the energy value of the first electromyographic signal section at the plurality of continuous sampling point place;
Starting point acquiring unit, for when the energy value of described first electromyographic signal section is more than default first energy threshold, using the starting point of the described first electromyographic signal section starting point as effective electromyographic signal.
Preferably, described terminal acquisition submodule includes:
Second energy value acquiring unit, for being respectively less than the second default energy threshold at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default second amount threshold time, obtain the energy value of the second electromyographic signal section at the plurality of continuous sampling point place;
Terminal acquiring unit, for when the energy value of described second electromyographic signal section is less than default second energy threshold, using the terminal of the described second electromyographic signal section terminal as effective electromyographic signal.
The present invention is operated into mouse control pattern by receiving user's hand shake, when detecting the electromyographic signal that electromyographic signal detecting device sends, terminal obtains the eigenvalue of the electromyographic signal detected, when the eigenvalue of described electromyographic signal mates with the First Eigenvalue preset, obtain the control routine that the eigenvalue of described electromyographic signal is corresponding, respond this control routine, to realize the control to terminal based on gesture or action, this electromyographic signal detecting device need not arrange unnecessary control button, the action being directly based upon user can send the electromyographic signal of correspondence, take volume little, it is easy to carry and reduces control operating process, improve the efficiency of control.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of terminal control method preferred embodiment of the present invention;
Fig. 2 is the refinement schematic flow sheet of step S10 in Fig. 1;
Fig. 3 is the schematic flow sheet of eigenvalue one embodiment obtaining electromyographic signal;
Fig. 4 is the first embodiment in terminal control method of the present invention, mapping relations between default the First Eigenvalue and control routine learnt;
Fig. 5 is the second embodiment in terminal control method of the present invention, mapping relations between default the First Eigenvalue and control routine learnt;
Fig. 6 is the refinement schematic flow sheet of step S12 in Fig. 2;
Fig. 7 is the refinement schematic flow sheet of step S13 in Fig. 2;
Fig. 8 is the high-level schematic functional block diagram of terminal control system preferred embodiment of the present invention;
Fig. 9 is the refinement high-level schematic functional block diagram of acquisition module in Fig. 8;
Figure 10 is the terminal control system of the present invention high-level schematic functional block diagram to the first embodiment that the mapping relations between default the First Eigenvalue and control routine learn;
Figure 11 is the high-level schematic functional block diagram of the second embodiment that the mapping relations between default the First Eigenvalue and control routine are learnt by terminal control system of the present invention;
Figure 12 is the refinement high-level schematic functional block diagram that in Fig. 8, starting point obtains submodule;
Figure 13 is the refinement high-level schematic functional block diagram that in Fig. 8, terminal obtains submodule.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
The present invention provides a kind of terminal control method.
With reference to the schematic flow sheet that Fig. 1, Fig. 1 are terminal control method preferred embodiment of the present invention.
The terminal control method that the present embodiment proposes, including:
Step S10, after terminal enters mouse action mode, the electromyographic signal that detecting electromyographic signal detecting device detects, and obtain the eigenvalue of described electromyographic signal, wherein, the eigenvalue of described electromyographic signal is that described electromyographic signal carries out wavelet coefficient meansigma methods and/or the variance that wavelet decomposition obtains;
In the present embodiment, in advance by hand double swerve, to determine that now electromyographic signal detecting device enters mouse mode, undertaken necessarily processing and storing its eigenvalue as Second Eigenvalue by the action opening mouse mode of double swerve.
First, in order to simplify algorithm, also for the accuracy rate improving probability analysis, we define, hand double swerve is a kind of special movement locus, in this movement locus exists only in set plane (assumings that place plane can only be vertical with hand or parallel, before runtime, user is vertical still parallel when needing to select movement locus plane relative to arm).Our detection accekeration in x-axis, in time rocking according to our set orbiting motion, or its movement locus close to we preset an equation of locus time, we just can determine that as the action that bracelet is opened.The result of probability analysis is a probit, and this value illustrates that our action be whether the probability of boot action is much, and this pattern recognition mode with our human brain is coupling.Our mankind's judgement to certain part things, is substantially based on the judgement of probability.
Secondly, we did description to rocking and limited, it is believed that only rock in given plane between-1 to 1 once as successfully once rocking.Rock after successfully, extract accekeration.
On this basis, we are successfully illustrated rocking:
When rocking, it is possible to regarding as and complete a curvilinear motion, its curvilinear equation can be understood as straight line, the thus movement locus of our required standard, assert, when movement locus standard compliant movement locus time, we just think once successfully breakdown action.After the action having done double swerve, extract the acceleration of both direction, current two acceleration extracted, we term it a stack features vector, here we define, when the difference between two characteristic vectors is less than or equal to 0.05, namely it is believed that this two stack features vector is similar.On this basis, it is assumed that in current characteristic vector and preset matrix during all characteristic vectors all similarities, then it is assumed that this vector and eigenmatrix similarity are 1.If currently this stack features vector vectorial with any one stack features in preset features matrix similar time, namely it is believed that this group accekeration is available.
Finally, bracelet can be rocked process standardization by us before dispatching from the factory, namely by our a large amount of whippings accurately, (so-called whipping refers to, as long as on a center of circle, rock back and forth, but must be symmetrical whipping, such as, move upward at 45 degree and be necessary for afterwards once moving to the direction of 225 degree, a movement locus can be obtained) with this, calculate the statistical characteristics repeating the acceleration that many groups are moved at this equation of locus, i.e. average, it is written in a matrix, it is appreciated that eigenvalue (rocking successfully basis for estimation) now is exactly movement locus above and this eigenmatrix, this eigenmatrix is stored in Second Eigenvalue.
Described electromyographic signal detecting device may be disposed in the device such as bracelet, wrist-watch, to realize the detection to user's gesture.Described electromyographic signal detecting device is by displacement transducer detecting hand shake operation, and sends the operation of described hand shake to terminal.Described terminal receives the operation of user's hand shake, obtains the eigenvalue of received hand shake operation, the eigenvalue that described hand shake is operated by described terminal and the Second Eigenvalue comparison preset;When the eigenvalue that described hand shake operates mates with the Second Eigenvalue preset, described terminal enters mouse action mode.
Described electromyographic signal detecting device, when detecting electromyographic signal, is sent to the terminal of correspondence by this electromyographic signal detected.
Described terminal is when extracting the extraction eigenvalue of electromyographic signal, first this electromyographic signal can be carried out WAVELET PACKET DECOMPOSITION, calculate meansigma methods and/or the variance of wavelet coefficient again, described eigenvalue can be meansigma methods and/or the variance of wavelet coefficient, the process of above-mentioned calculating wavelet coefficient and variance is prior art, does not repeat them here.Namely this eigenvalue is described electromyographic signal carries out wavelet decomposition obtain meansigma methods and/or the variance of wavelet coefficient.
Terminal obtains the concrete mode of the eigenvalue of the electromyographic signal detected, and with reference to Fig. 2, step S10 includes:
Step S11, when detecting the electromyographic signal that electromyographic signal detecting device sends, the electromyographic signal detected is sampled by described terminal, and obtains the energy value that each sampled point is corresponding;
It will be appreciated by persons skilled in the art that the accuracy of the eigenvalue extracted for guarantee, when the electromyographic signal detected is sampled, can first the electromyographic signal detected be filtered and noise reduction process.Such as, the frequency range of general electromyographic signal is 20~500HZ, therefore can pass through band filter and the electromyographic signal detected is filtered, and by less than 20HZ and the target signal filter more than 500HZ, the technical scheme of noise reduction is prior art, does not repeat them here.
In the present embodiment, when the electromyographic signal detected is sampled, have various ways: a, every one preset interval sample, until gather predetermined number sampled point, this preset interval can obtain based on the duration of electromyographic signal;B, every one preset interval sample, until gathering the sampled point of predetermined number, and in the sampled point of this predetermined number, proceed sampling, to obtain final sampled point, such as can first take 1000 sampled points, then take in these 1000 sampled points 500 sampled points as final sampled point.The sample mode enumerated listed above is merely exemplary; those skilled in the art utilize the technological thought of the present invention; according to other modes that its real needs are proposed carry out sampling obtaining electromyographic signal terminal volume sampled point all in protection scope of the present invention, do not carry out exhaustive one by one at this.
In the present embodiment, owing to electromyographic signal is one section of waveform, then the energy value of each sampled point can be the amplitude of this sampled point point square.
Step S12, energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal is using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal;
In the present embodiment, when the energy value of continuous multiple sampled points is all higher than the first energy threshold preset, illustrate, by the plurality of sampled point, electromyographic signal occurs, now using the starting point of the first electromyographic signal section at the multiple sampled point places starting point as this electromyographic signal, this first amount threshold and the first energy threshold are set by developer, and this first energy threshold the initial value of electromyographic signal corresponding to multiple different actions can be averaging and obtain.
Step S13, energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal is using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
In the present embodiment, when the energy value of continuous multiple sampled points is respectively less than the second default energy threshold, illustrate that electromyographic signal fades away by the plurality of sampled point, now using the terminal of the second electromyographic signal section at the multiple sampled point places terminal as this electromyographic signal, this second amount threshold and the second energy threshold are set by developer, and this second energy threshold the energy value of terminal of electromyographic signal corresponding to multiple different actions can be averaging and obtain.This second amount threshold can be equal to the first amount threshold, it is possible to is not equal to the first amount threshold.
Step S14, extracts the eigenvalue of effective electromyographic signal between described starting point and terminal.
When extracting eigenvalue, this effective electromyographic signal first can carrying out WAVELET PACKET DECOMPOSITION, then calculate meansigma methods and/or the variance of wavelet coefficient, described eigenvalue can be meansigma methods and/or the variance of wavelet coefficient, the process of above-mentioned calculating wavelet coefficient and variance is prior art, does not repeat them here.
Further, in order to ensure to control the effectiveness of operation, with reference to Fig. 3, obtain the process of the eigenvalue of described electromyographic signal it may also is that step S21, described terminal detecting electromyographic signal in this mode, obtains the acceleration of the electromyographic signal respective operations object detected;Step S22, whether the acquired accekeration of described terminal judges is more than predetermined acceleration threshold value;Step S23, described terminal, when acquired accekeration is more than predetermined acceleration threshold value, obtains the myoelectricity under this pattern and believes the eigenvalue of equal sign.One acceleration rate threshold of described terminal preset in advance, such as, can be 5m/s or 7m/s when the accekeration of operation corresponding to the electromyographic signal obtained is more than predetermined acceleration threshold value, judge that operation corresponding to this electromyographic signal is as operating effectively, when the accekeration of operation corresponding to electromyographic signal obtained is less than or equal to predetermined acceleration threshold value, judge that this operation is as invalid operation, namely not for controlling operation, it is not necessary to the response being operated.
Step S20, whether the eigenvalue of electromyographic signal described in described terminal judges mates with default the First Eigenvalue;
One the First Eigenvalue of described terminal preset in advance, described the First Eigenvalue is the eigenvalue that the electromyographic signal that user's forefinger and middle finger produce collects.
Whether the eigenvalue of electromyographic signal described in described terminal judges mates with default the First Eigenvalue, namely judges whether the eigenvalue whether having the eigenvalue with described electromyographic signal to mate in default the First Eigenvalue.
Step S30, if the eigenvalue of the described electromyographic signal of described terminal mates with the First Eigenvalue preset, then according to the mapping relations between the First Eigenvalue and control routine, it is determined that the control routine that the eigenvalue of described electromyographic signal is corresponding;
Mapping relations between default the First Eigenvalue and control routine search whether the First Eigenvalue mated with the eigenvalue of described electromyographic signal, if it has, then described terminal determines the control routine that the eigenvalue of described electromyographic signal is corresponding;
In the present embodiment, owing to being provided with the devices such as the bracelet of electromyographic signal detecting device, do user and the process of gesture has certain movement, then get electromyographic signal and sometimes have certain fluctuation, therefore, the eigenvalue in mapping relations between the eigenvalue of described electromyographic signal with default the First Eigenvalue and control routine mates and refers to, the difference between the First Eigenvalue preset and the eigenvalue of the described electromyographic signal got is less than default threshold value.Described default threshold value can be 0.1 or 0.2 etc. need according to user and/or the detection error of electromyographic signal detecting device is arranged.
Further, make the electromyographic signal of identical action due to different user and have certain difference, namely the First Eigenvalue of different user and control routine are to have certain difference, for improving the motility to terminal control, then step S30 includes, based on the electromyographic signal detected, terminal determines the identifier of electromyographic signal detecting device, based on the incidence relation between the mapping relations between the First Eigenvalue and control routine and identifier, obtain the mapping relations between the First Eigenvalue corresponding to this identifier and control routine;In mapping relations between the First Eigenvalue got and control routine, when the eigenvalue having described electromyographic signal mates with the First Eigenvalue got, described terminal determines the control routine that the eigenvalue of described electromyographic signal is corresponding.
Step S40, the control signal corresponding to control routine described in described terminal response.
The present embodiment is operated into mouse control pattern by receiving user's hand shake, when detecting the electromyographic signal that electromyographic signal detecting device sends, terminal obtains the eigenvalue of the electromyographic signal detected, when the eigenvalue of described electromyographic signal mates with the First Eigenvalue preset, obtain the control routine that the eigenvalue of described electromyographic signal is corresponding, respond this control routine, to realize the control to terminal based on gesture or action, this electromyographic signal detecting device need not arrange unnecessary control button, the action being directly based upon user can send the electromyographic signal of correspondence, take volume little, it is easy to carry and reduces control operating process, improve the efficiency of control
It will be appreciated by persons skilled in the art that the process of the mapping relations between the First Eigenvalue and control routine is as follows in terminal control method preferred embodiment of the present invention:
A, collection electromyographic signal, and the electromyographic signal collected is carried out pretreatment;
B, pretreated electromyographic signal is sampled, and obtain the energy value that each sampled point is corresponding, energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal is using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal, energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal is using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
C, the effective electromyographic signal extracted between described starting point and terminal eigenvalue;
D, the eigenvalue extracted is associated with control routine preservation, and generate the mapping relations between the First Eigenvalue and control routine based on trainable pattern classifier.In the present embodiment, it is prior art that this trainable pattern classifier generates the electromyographic signal eigenvalue of user's input with the detailed process of the incidence relation of control routine, does not repeat them here.
It will be appreciated by persons skilled in the art that as improving the accuracy to terminal control and motility, it is necessary to the mapping relations between default eigenvalue and control routine are learnt, and concrete learning style is as follows:
1) with reference to Fig. 4, for the first embodiment that the mapping relations between default eigenvalue and control routine are learnt by the present invention, in the present embodiment, concrete learning process is as follows:
Step S50, when detecting gesture study instruction, described terminal demonstration standard gesture picture selects interface, selects interface to select corresponding standard gesture picture the triggering selection instruction when having selected for user based on described standard gesture picture;
In the present embodiment, user when terminal recognition mistake, can trigger gesture study instruction by controlling terminal (such as handset remote controller etc.) or phonetic control command etc..Or, when terminal detects the number of times of same electromyographic signal within a preset time interval more than predetermined threshold value, then it is assumed that identify mistake, gesture study instruction can be triggered.
Step S60, when receiving selection instruction, described terminal selects instruction to lock based on what receive and shows the standard gesture picture of correspondence;
Step S70, when detecting the electromyographic signal that electromyographic signal detecting device sends, described terminal obtains the eigenvalue of the electromyographic signal detected;
When terminal obtains the eigenvalue of the electromyographic signal detected, can obtain based on the mode described in first embodiment, first the electromyographic signal detected is filtered and noise reduction process, it is then determined that the beginning and end of electromyographic signal, using the electromyographic signal between beginning and end as effective electromyographic signal, it is determined that the eigenvalue of this effective electromyographic signal.
It will be appreciated by persons skilled in the art that the accuracy for improving study, when detecting the electromyographic signal that electromyographic signal detecting device sends, described terminal demonstration confirms interface;When detecting the confirmation instruction based on the triggering of described confirmation interface, described terminal obtains the eigenvalue of the electromyographic signal detected;
Step S80, described terminal determines the control routine that currently displaying standard gesture picture is corresponding, and the eigenvalue corresponding to control routine corresponding for described standard gesture picture is updated to the described eigenvalue got.
In the present embodiment, user can send multiple electromyographic signal within a preset time interval, when terminal detects multiple electromyographic signal within a preset time interval, can obtain the meansigma methods of multiple electromyographic signal, and based on the eigenvalue corresponding to the more newly determined control routine of the meansigma methods of the eigenvalue got.
It will be understood by those skilled in the art that, for improving the accuracy to terminal control, when detecting gesture study instruction, terminal can show standard gesture picture successively, after display standard gesture picture every time, terminal detecting electromyographic signal, when detecting electromyographic signal, described terminal determines currently displaying control routine corresponding for standard gesture figure, and the eigenvalue got is updated to the eigenvalue corresponding to the control routine that standard gesture picture is corresponding, and show that next standard gesture picture proceeds study according to preset order.
Due to user action custom difference, it is likely to imperfect or not accurate enough time standard operation completes, time such as user does the action of next, the angle that palm is upwards lifted is about 45 degree, and the angle that the standard operation that we preset is palm upwards to be lifted is about 75 degree, the discrimination that such situation may result in this action is relatively low, then user needs this action is relearned.nullConcrete learning process is as follows: user sends gesture study instruction based on controlling terminal or alternate manner to terminal,When receiving gesture study instruction,Terminal demonstration standard gesture picture selects corresponding standard gesture picture to select interface,The standard gesture picture that angle is about 75 degree that user upwards can lift based on the palm that the selection of this selection interface is corresponding,The standard gesture picture that angle is about 75 degree that this palm that terminal demonstration user selects upwards is lifted,And make its action being accustomed to making,The action that such as user makes is the angle that palm is upwards lifted is about 45 degree,Now electromyographic signal detecting device sends the electromyographic signal detected to terminal,When terminal extracts the feature of this electromyographic signal received,And determine the control routine that the standard gesture picture that angle is about 75 degree that currently displaying palm is upwards lifted is corresponding,And control routine characteristic of correspondence value corresponding to the standard gesture picture that angle is about 75 degree upwards lifted of currently displaying palm to be updated to the angle that palm upwards lifts be about 45 degree characteristic of correspondence values.
2) with reference to Fig. 5, for the second embodiment that the mapping relations between default eigenvalue and control routine are learnt by the present invention, in the present embodiment, detailed process is as follows:
Step S90, when detecting gesture study instruction, the electromyographic signal that described terminal detecting electromyographic signal detecting device sends;
In the present embodiment, user when terminal recognition mistake, can trigger gesture study instruction by controlling terminal (such as handset remote controller etc.) or phonetic control command etc..Or, when terminal detects the number of times of same electromyographic signal within a preset time interval more than predetermined threshold value, then it is assumed that identify mistake, gesture study instruction can be triggered.
Step S100, when detecting the electromyographic signal that electromyographic signal detecting device sends, described terminal obtains the eigenvalue of the electromyographic signal detected, and receives the control routine controlling terminal transmission;
In the present embodiment, user when continuously transmitting multiple electromyographic signal, can send control routine again through controlling terminal to terminal, when receiving multiple electromyographic signal within a preset time interval, can calculate the meansigma methods of the eigenvalue of the plurality of electromyographic signal.It will be appreciated by persons skilled in the art that when user thinks that currently transmitted electromyographic signal is improper or wrong, electromyographic signal can be sent to terminal again every certain prefixed time interval.When detecting the electromyographic signal that electromyographic signal detecting device sends, if do not receive the control routine controlling terminal transmission in the interval preset, this electromyographic signal received can be deleted, for improving Consumer's Experience further, terminal can display reminding information, with point out user re-enter correspondence electromyographic signal.
Step S110, detect control control routine that terminal sends time, the eigenvalue got and the control routine that receives are associated and are saved in the mapping relations between described default the First Eigenvalue and control routine by described terminal.
In the present embodiment, user can pass through to input the control routine of electromyographic signal and correspondence, increases the mapping relations between new eigenvalue and control routine, to realize the motility to terminal control.
Such as, user wants to realize, by gesture motion, the function that terminal work mode quickly switches, but in the standard gesture currently prestored, do not comprise and realize the standard gesture that terminal work mode quickly switches, then need user to add terminal work mode by the mode that gesture learns and quickly switch the standard gesture of correspondence.The detailed process adding the standard gesture that terminal work mode quickly switches correspondence is as follows: user sends gesture study instruction based on controlling terminal or alternate manner to terminal, and make terminal work mode quickly switch correspondence gesture motion, if this gesture motion is that hand slides to preset direction, now electromyographic signal device sends its electromyographic signal detected to terminal, terminal extracts the eigenvalue of the myoelectric information received, user is by triggering the button that on remote controller, mode of operation quickly switches, the control routine that mode of operation quickly switches is sent to terminal, the control routine received is associated preservation with the eigenvalue got, it is about to the control routine that receives slide corresponding control routine to preset direction as hand.Terminal is when the eigenvalue of the electromyographic signal received is the gesture motion characteristic of correspondence value that hand slides to preset direction, and terminal is operated the quick switching of pattern.
The two kinds of modes that the mapping relations between default the First Eigenvalue and control routine are learnt enumerated listed above are merely exemplary; those skilled in the art utilize the technological thought of the present invention; according to proposed other modes that mapping relations between default eigenvalue and control routine are learnt of its real needs all in protection scope of the present invention, do not carry out exhaustive one by one at this.
Further, for improving the accuracy of characteristics extraction, with reference to Fig. 6, in terminal control method of the present invention, described step S12 includes:
Step S121, energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal obtains the energy value of the first electromyographic signal section at the plurality of continuous sampling point place;
Step S122, when the energy value of described first electromyographic signal section is more than default first energy threshold, described terminal is using the starting point of the described first electromyographic signal section starting point as effective electromyographic signal.
In the present embodiment, the computing formula of the energy value of the first electromyographic signal section is as follows,Wherein, described Qn indicates the energy value of the first electromyographic signal section, and tn is the start time point of this first electromyographic signal section, and T is the duration of this first electromyographic signal section, and described x is the amplitude that each time point is corresponding.In this embodiment, by calculating the energy value of one section of continuous print signal segment, to guarantee that this first electromyographic signal section is really for the starting point of the electromyographic signal detected.This first energy threshold can be set by developer, and this first energy threshold can be the meansigma methods of the starting point of electromyographic signal corresponding to different gesture.
Further, for improving the accuracy of characteristics extraction, with reference to Fig. 7, described step S13 includes:
Step S131, energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal obtains the energy value of the second electromyographic signal section at the plurality of continuous sampling point place;
Step S132, when the energy value of described second electromyographic signal section is less than default second energy threshold, described terminal is using the terminal of the described second electromyographic signal section terminal as effective electromyographic signal.
In the present embodiment, the computing formula of the energy value of the second electromyographic signal section is as followsWherein, described Qn represents the energy value of the second electromyographic signal section, and tn is the start time point of this second electromyographic signal section, and T is the duration of this second electromyographic signal section, and described x is the amplitude that each time point is corresponding.In this embodiment, by calculating the energy value of one section of continuous print signal segment, to guarantee that this second electromyographic signal section is really for the terminal of the electromyographic signal detected, in the present embodiment, the second amount threshold can be equal with the first amount threshold.This and energy threshold can be set by developer, this second energy threshold can be the meansigma methods of the terminal of electromyographic signal corresponding to different gesture.
The present invention further provides a kind of terminal control system.
With reference to the high-level schematic functional block diagram that Fig. 8, Fig. 8 are terminal control system preferred embodiment of the present invention.
It is emphasized that, to one skilled in the art, functional block diagram shown in Fig. 8 is only the exemplary plot of a preferred embodiment, and those skilled in the art, around the functional module of the terminal control system shown in Fig. 8, can carry out supplementing of new functional module easily;The title of each functional module is self-defined title, only for assisting each program function block understanding this terminal control system, being not used in restriction technical scheme, the core of technical solution of the present invention is, the function that the functional module of each self-defined title to be reached.
The terminal control system that the present embodiment proposes, including:
Detecting module 10, after being used for entering mouse action mode, the electromyographic signal that detecting electromyographic signal detecting device detects;
Acquisition module 20, for obtaining the eigenvalue of described electromyographic signal, wherein, the eigenvalue of described electromyographic signal is that described electromyographic signal carries out wavelet coefficient meansigma methods and/or the variance that wavelet decomposition obtains;
In the present embodiment, in advance by hand double swerve, to determine that now electromyographic signal detecting device enters mouse mode, undertaken necessarily processing and storing its eigenvalue as Second Eigenvalue by the action opening mouse mode of double swerve.
First, in order to simplify algorithm, also for the accuracy rate improving probability analysis, we define, hand double swerve is a kind of special movement locus, in this movement locus exists only in set plane (assumings that place plane can only be vertical with hand or parallel, before runtime, user is vertical still parallel when needing to select movement locus plane relative to arm).Our detection accekeration in x-axis, in time rocking according to our set orbiting motion, or its movement locus close to we preset an equation of locus time, we just can determine that as the action that bracelet is opened.The result of probability analysis is a probit, and this value illustrates that our action be whether the probability of boot action is much, and this pattern recognition mode with our human brain is coupling.Our mankind's judgement to certain part things, is substantially based on the judgement of probability.
Secondly, we did description to rocking and limited, it is believed that only rock in given plane between-1 to 1 once as successfully once rocking.Rock after successfully, extract accekeration.
On this basis, we are successfully illustrated rocking:
When rocking, it is possible to regarding as and complete a curvilinear motion, its curvilinear equation can be understood as straight line, the thus movement locus of our required standard, assert, when movement locus standard compliant movement locus time, we just think once successfully breakdown action.After the action having done double swerve, extract the acceleration of both direction, current two acceleration extracted, we term it a stack features vector, here we define, when the difference between two characteristic vectors is less than or equal to 0.05, namely it is believed that this two stack features vector is similar.On this basis, it is assumed that in current characteristic vector and preset matrix during all characteristic vectors all similarities, then it is assumed that this vector and eigenmatrix similarity are 1.If currently this stack features vector vectorial with any one stack features in preset features matrix similar time, namely it is believed that this group accekeration is available.
Finally, bracelet can be rocked process standardization by us before dispatching from the factory, namely by our a large amount of whippings accurately, (so-called whipping refers to, as long as on a center of circle, rock back and forth, but must be symmetrical whipping, such as, move upward at 45 degree and be necessary for afterwards once moving to the direction of 225 degree, a movement locus can be obtained) with this, calculate the statistical characteristics repeating the acceleration that many groups are moved at this equation of locus, i.e. average, it is written in a matrix, it is appreciated that eigenvalue (rocking successfully basis for estimation) now is exactly movement locus above and this eigenmatrix, this eigenmatrix is stored in Second Eigenvalue.
Described electromyographic signal detecting device may be disposed in the device such as bracelet, wrist-watch, to realize the detection to user's gesture.Described electromyographic signal detecting device is by displacement transducer detecting hand shake operation, and sends the operation of described hand shake to terminal.Described terminal receives the operation of user's hand shake, obtains the eigenvalue of received hand shake operation, the eigenvalue that described hand shake is operated by described terminal and the Second Eigenvalue comparison preset;When the eigenvalue that described hand shake operates mates with the Second Eigenvalue preset, described terminal enters mouse action mode.
Described electromyographic signal detecting device, when detecting electromyographic signal, is sent to the terminal of correspondence by this electromyographic signal detected.
Described terminal is when extracting the extraction eigenvalue of electromyographic signal, first this electromyographic signal can be carried out WAVELET PACKET DECOMPOSITION, calculate meansigma methods and/or the variance of wavelet coefficient again, described eigenvalue can be meansigma methods and/or the variance of wavelet coefficient, the process of above-mentioned calculating wavelet coefficient and variance is prior art, does not repeat them here.Namely this eigenvalue is described electromyographic signal carries out wavelet decomposition obtain meansigma methods and/or the variance of wavelet coefficient.
With reference to Fig. 9, described acquisition module 20 includes:
Sampling submodule 21, for when detecting the electromyographic signal that electromyographic signal detecting device sends, sampling to the electromyographic signal detected;
Energy value obtains submodule 22, for obtaining the energy value that each sampled point is corresponding;
It will be appreciated by persons skilled in the art that the accuracy of the eigenvalue extracted for guarantee, when the electromyographic signal detected is sampled, can first the electromyographic signal detected be filtered and noise reduction process.Such as, the frequency range of general electromyographic signal is 20~500HZ, therefore can pass through band filter and the electromyographic signal detected is filtered, and by less than 20HZ and the target signal filter more than 500HZ, the technical scheme of noise reduction is prior art, does not repeat them here.
In the present embodiment, when the electromyographic signal detected is sampled, have various ways: a, every one preset interval sample, until gather predetermined number sampled point, this preset interval can obtain based on the duration of electromyographic signal;B, every one preset interval sample, until gathering the sampled point of predetermined number, and in the sampled point of this predetermined number, proceed sampling, to obtain final sampled point, such as can first take 1000 sampled points, then take in these 1000 sampled points 500 sampled points as final sampled point.The sample mode enumerated listed above is merely exemplary; those skilled in the art utilize the technological thought of the present invention; according to other modes that its real needs are proposed carry out sampling obtaining electromyographic signal terminal volume sampled point all in protection scope of the present invention, do not carry out exhaustive one by one at this.
In the present embodiment, owing to electromyographic signal is one section of waveform, then the energy value of each sampled point can be the amplitude of this sampled point point square.
Starting point obtains submodule 13, for the first energy threshold being all higher than presetting at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default first amount threshold time, using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal;
In the present embodiment, when the energy value of continuous multiple sampled points is all higher than the first energy threshold preset, illustrate, by the plurality of sampled point, electromyographic signal occurs, now using the starting point of the first electromyographic signal section at the multiple sampled point places starting point as this electromyographic signal, this first amount threshold and the first energy threshold are set by developer, and this first energy threshold the initial value of electromyographic signal corresponding to multiple different actions can be averaging and obtain.
Terminal obtains submodule 14, for being respectively less than the second default energy threshold at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default second amount threshold time, using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
In the present embodiment, when the energy value of continuous multiple sampled points is respectively less than the second default energy threshold, illustrate that electromyographic signal fades away by the plurality of sampled point, now using the terminal of the second electromyographic signal section at the multiple sampled point places terminal as this electromyographic signal, this second amount threshold and the second energy threshold are set by developer, and this second energy threshold the energy value of terminal of electromyographic signal corresponding to multiple different actions can be averaging and obtain.This second amount threshold can be equal to the first amount threshold, it is possible to is not equal to the first amount threshold.
Extract submodule 15, for extracting the eigenvalue of the effective electromyographic signal between described starting point and terminal.
When extracting eigenvalue, this effective electromyographic signal first can carrying out WAVELET PACKET DECOMPOSITION, then calculate meansigma methods and/or the variance of wavelet coefficient, described eigenvalue can be meansigma methods and/or the variance of wavelet coefficient, the process of above-mentioned calculating wavelet coefficient and variance is prior art, does not repeat them here.
Further, in order to ensure to control the effectiveness of operation, described detecting module 10, it is additionally operable to the electromyographic signal detected in this mode;Described energy value obtains submodule 22, is additionally operable to obtain the acceleration of the electromyographic signal respective operations object detected;Described judge module 30, for judging that whether acquired accekeration is more than predetermined acceleration threshold value;Described energy value obtains submodule 22, is additionally operable to when acquired accekeration is more than predetermined acceleration threshold value, obtains the myoelectricity under this pattern and believes the eigenvalue of equal sign.One acceleration rate threshold of described terminal preset in advance, such as, can be 5m/s or 7m/s when the accekeration of operation corresponding to the electromyographic signal obtained is more than predetermined acceleration threshold value, judge that operation corresponding to this electromyographic signal is as operating effectively, when the accekeration of operation corresponding to electromyographic signal obtained is less than or equal to predetermined acceleration threshold value, judge that this operation is as invalid operation, namely not for controlling operation, it is not necessary to the response being operated.
Described judge module 30, is additionally operable to judge whether the eigenvalue of described electromyographic signal mates with default the First Eigenvalue;
One the First Eigenvalue of described terminal preset in advance, described the First Eigenvalue is the eigenvalue that the electromyographic signal that user's forefinger and middle finger produce collects.
Whether the eigenvalue of electromyographic signal described in described terminal judges mates with default the First Eigenvalue, namely judges whether the eigenvalue whether having the eigenvalue with described electromyographic signal to mate in default the First Eigenvalue.
Described determine module 40, if the eigenvalue for described electromyographic signal mates with default the First Eigenvalue, then according to the mapping relations between the First Eigenvalue and control routine, it is determined that the control routine that the eigenvalue of described electromyographic signal is corresponding;
Mapping relations between default the First Eigenvalue and control routine search whether the First Eigenvalue mated with the eigenvalue of described electromyographic signal, if it has, then described terminal determines the control routine that the eigenvalue of described electromyographic signal is corresponding;
In the present embodiment, owing to being provided with the devices such as the bracelet of electromyographic signal detecting device, do user and the process of gesture has certain movement, then get electromyographic signal and sometimes have certain fluctuation, therefore, the eigenvalue in mapping relations between the eigenvalue of described electromyographic signal with default the First Eigenvalue and control routine mates and refers to, the difference between the First Eigenvalue preset and the eigenvalue of the described electromyographic signal got is less than default threshold value.Described default threshold value can be 0.1 or 0.2 etc. need according to user and/or the detection error of electromyographic signal detecting device is arranged.
Further, make the electromyographic signal of identical action due to different user and have certain difference, namely the First Eigenvalue of different user and control routine are to have certain difference, for improving the motility to terminal control, described determine that module 40 is additionally operable to based on the electromyographic signal detected, determine the identifier of electromyographic signal detecting device, based on the incidence relation between the mapping relations between the First Eigenvalue and control routine and identifier, obtain the mapping relations between the First Eigenvalue corresponding to this identifier and control routine;In mapping relations between the First Eigenvalue got and control routine, when the eigenvalue having described electromyographic signal mates with the First Eigenvalue got, described terminal determines the control routine that the eigenvalue of described electromyographic signal is corresponding.
Respond module 50, for responding the control signal corresponding to described control routine.
The present embodiment is operated into mouse control pattern by receiving user's hand shake, when detecting the electromyographic signal that electromyographic signal detecting device sends, terminal obtains the eigenvalue of the electromyographic signal detected, when the eigenvalue of described electromyographic signal mates with the First Eigenvalue preset, obtain the control routine that the eigenvalue of described electromyographic signal is corresponding, respond this control routine, to realize the control to terminal based on gesture or action, this electromyographic signal detecting device need not arrange unnecessary control button, the action being directly based upon user can send the electromyographic signal of correspondence, take volume little, it is easy to carry and reduces control operating process, improve the efficiency of control.
It will be appreciated by persons skilled in the art that in terminal control system preferred embodiment of the present invention, the process of default mapping relations between eigenvalue and control routine is as follows:
Sampling submodule 21 gathers electromyographic signal, and the electromyographic signal collected is carried out pretreatment, pretreated electromyographic signal is sampled, energy value obtains submodule 22 and obtains the energy value that each sampled point is corresponding, energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, starting point obtains submodule 23 using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal, energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, terminal obtains submodule 24 using the terminal of the second electromyographic signal section at the multiple continuous sampling point places terminal as effective electromyographic signal;The eigenvalue of the effective electromyographic signal extract submodule 25, extracting between described starting point and terminal;Sub module stored, for the eigenvalue extracted associates preservation with control routine, generates the mapping relations between eigenvalue and control routine.In the present embodiment, the mapping relations generated between eigenvalue and control routine can realize based on trainable pattern classifier, it is prior art that this trainable pattern classifier generates the electromyographic signal eigenvalue of user's input with the detailed process of the incidence relation of control routine, does not repeat them here.
It will be appreciated by persons skilled in the art that as improving the accuracy to terminal control and motility, it is necessary to the mapping relations between default eigenvalue and control routine are learnt, and concrete learning style is as follows:
1) with reference to Figure 10, for the first embodiment that the mapping relations between default eigenvalue and control routine are learnt by the present invention, in the present embodiment, described terminal control system also includes:
Display module 60, for when detecting gesture study instruction, display standard gesture picture selects interface, selects interface to select corresponding standard gesture picture the triggering selection instruction when having selected for user based on described standard gesture picture;
In the present embodiment, user when terminal recognition mistake, can trigger gesture study instruction by controlling terminal (such as handset remote controller etc.) or phonetic control command etc..Or, when terminal detects the number of times of same electromyographic signal within a preset time interval more than predetermined threshold value, then it is assumed that identify mistake, gesture study instruction can be triggered.
Locking module 70, for when receiving selection instruction, selecting instruction to lock based on what receive and show the standard gesture picture of correspondence;
Described acquisition module 20, is additionally operable to, when detecting the electromyographic signal that electromyographic signal detecting device sends, obtain the eigenvalue of the electromyographic signal detected;
Described acquisition module 20 is when terminal obtains the eigenvalue of the electromyographic signal detected, can obtain based on the mode described in first embodiment, first the electromyographic signal detected is filtered and noise reduction process, it is then determined that the beginning and end of electromyographic signal, using the electromyographic signal between beginning and end as effective electromyographic signal, it is determined that the eigenvalue of this effective electromyographic signal.
It will be appreciated by persons skilled in the art that the accuracy for improving study, described acquisition module 20 is additionally operable to when detecting the electromyographic signal that electromyographic signal detecting device sends, and display confirms interface;When detecting the confirmation instruction based on the triggering of described confirmation interface, obtain the eigenvalue of the electromyographic signal detected.
More new module 80, for determining the control routine that currently displaying standard gesture picture is corresponding the eigenvalue that will be updated to corresponding to the control routine that described standard gesture picture is corresponding based on the described eigenvalue got.
In the present embodiment, user can send multiple electromyographic signal within a preset time interval, when detecting multiple electromyographic signal within a preset time interval, acquisition module 20 can obtain the meansigma methods of multiple electromyographic signal, and more new module 80 is based on the eigenvalue corresponding to the more newly determined control routine of the meansigma methods of the eigenvalue got.
It will be understood by those skilled in the art that, for the accuracy to terminal control, when detecting gesture study instruction, display module 60 can show standard gesture picture successively, after display standard gesture picture every time, detecting electromyographic signal, when detecting electromyographic signal, determine that module 40 determines currently displaying control routine corresponding for standard gesture figure, more the eigenvalue got is updated to the eigenvalue corresponding to the control routine that standard gesture picture is corresponding by new module 80, according to preset order, display module 60 shows that next standard gesture picture proceeds study.Due to user action custom difference, it is likely to imperfect or not accurate enough time standard operation completes, time such as user does the action of next, the angle that palm is upwards lifted is about 45 degree, and the angle that the standard operation that we preset is palm upwards to be lifted is about 75 degree, the discrimination that such situation may result in this action is relatively low, then user needs this action is relearned.nullConcrete learning process is as follows: user sends gesture study instruction based on controlling terminal or alternate manner to terminal,When receiving gesture study instruction,Terminal demonstration standard gesture picture selects corresponding standard gesture picture to select interface,The standard gesture picture that angle is about 75 degree that user upwards can lift based on the palm that the selection of this selection interface is corresponding,The standard gesture picture that angle is about 75 degree that this palm that terminal demonstration user selects upwards is lifted,And make its action being accustomed to making,The action that such as user makes is the angle that palm is upwards lifted is about 45 degree,Now electromyographic signal detecting device sends the electromyographic signal detected to terminal,When terminal extracts the feature of this electromyographic signal received,And determine the control routine that the standard gesture picture that angle is about 75 degree that currently displaying palm is upwards lifted is corresponding,And control routine characteristic of correspondence value corresponding to the standard gesture picture that angle is about 75 degree upwards lifted of currently displaying palm to be updated to the angle that palm upwards lifts be about 45 degree characteristic of correspondence values.
2) with reference to Figure 11, for the second embodiment that the mapping relations between default eigenvalue and control routine are learnt by the present invention, in the present embodiment, described terminal control system also includes:
Described detecting module 10, is additionally operable to when detecting gesture study instruction, the electromyographic signal that detecting electromyographic signal detecting device sends;
In the present embodiment, user when terminal recognition mistake, can trigger gesture study instruction by controlling terminal (such as handset remote controller etc.) or phonetic control command etc..Or, when terminal detects the number of times of same electromyographic signal within a preset time interval more than predetermined threshold value, then it is assumed that identify mistake, gesture study instruction can be triggered.
Described acquisition module 20, is additionally operable to when detecting the electromyographic signal that electromyographic signal detecting device sends, and obtains the eigenvalue of the electromyographic signal detected, and receives the control routine controlling terminal transmission;
In the present embodiment, user can when continuously transmitting multiple electromyographic signal, sending control routine again through controlling terminal to terminal, when receiving multiple electromyographic signal within a preset time interval, acquisition module 20 can calculate the meansigma methods of the eigenvalue of the plurality of electromyographic signal.It will be appreciated by persons skilled in the art that when user thinks that currently transmitted electromyographic signal is improper or wrong, electromyographic signal can be sent to terminal again every certain prefixed time interval.Then when detecting the electromyographic signal that electromyographic signal detecting device sends, if do not receive the control routine controlling terminal transmission in the interval preset, removing module can delete this electromyographic signal received, for improving Consumer's Experience further, display module 60 can display reminding information, with point out user re-enter correspondence electromyographic signal.
Memory module 90, for detect control control routine that terminal sends time, the eigenvalue got and the control routine that receives are associated and are saved in the mapping relations between described default eigenvalue and control routine.
In the present embodiment, user can pass through to input the control routine of electromyographic signal and correspondence, increases the mapping relations between new eigenvalue and control routine, to realize the motility to terminal control.
Such as, user wants to realize, by gesture motion, the function that terminal work mode quickly switches, but in the standard gesture currently prestored, do not comprise and realize the standard gesture that terminal work mode quickly switches, then need user to add terminal work mode by the mode that gesture learns and quickly switch the standard gesture of correspondence.The detailed process adding the standard gesture that terminal work mode quickly switches correspondence is as follows: user sends gesture study instruction based on controlling terminal or alternate manner to terminal, and make terminal work mode quickly switch correspondence gesture motion, if this gesture motion is that hand slides to preset direction, now electromyographic signal device sends its electromyographic signal detected to terminal, terminal extracts the eigenvalue of the myoelectric information received, user is by triggering the button that on remote controller, mode of operation quickly switches, the control routine that mode of operation quickly switches is sent to terminal, the control routine received is associated preservation with the eigenvalue got, it is about to the control routine that receives slide corresponding control routine to preset direction as hand.Terminal is when the eigenvalue of the electromyographic signal received is the gesture motion characteristic of correspondence value that hand slides to preset direction, and terminal is operated the quick switching of pattern.
The two kinds of modes that the mapping relations between default eigenvalue and control routine are learnt enumerated listed above are merely exemplary; those skilled in the art utilize the technological thought of the present invention; according to proposed other modes that mapping relations between default eigenvalue and control routine are learnt of its real needs all in protection scope of the present invention, do not carry out exhaustive one by one at this.
Further, for improving the accuracy of characteristics extraction, with reference to Figure 12, described starting point obtains submodule 23 and includes:
First energy value acquiring unit 231, for the first energy threshold being all higher than presetting at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default first amount threshold time, obtain the energy value of the first electromyographic signal section at the plurality of continuous sampling point place;
Starting point acquiring unit 232, for when the energy value of described first electromyographic signal section is more than default first energy threshold, using the starting point of the described first electromyographic signal section starting point as effective electromyographic signal.
In the present embodiment, the computing formula of the energy value of the first electromyographic signal section is as follows,Wherein, described Qn indicates the energy value of the first electromyographic signal section, and tn is the start time point of this first electromyographic signal section, and T is the duration of this first electromyographic signal section, and described x is the amplitude that each time point is corresponding.In this embodiment, by calculating the energy value of one section of continuous print signal segment, to guarantee that this first electromyographic signal section is really for the starting point of the electromyographic signal detected.This first energy threshold can be set by developer, and this first energy threshold can be the meansigma methods of the starting point of electromyographic signal corresponding to different gesture.
Further, for improving the accuracy of characteristics extraction, with reference to Figure 13, described terminal obtains submodule 24 and includes:
Second energy value acquiring unit 241, for being respectively less than the second default energy threshold at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default second amount threshold time, obtain the energy value of the second electromyographic signal section at the plurality of continuous sampling point place;
Terminal acquiring unit 242, for when the energy value of described second electromyographic signal section is less than default second energy threshold, using the terminal of the described second electromyographic signal section terminal as effective electromyographic signal.
In the present embodiment, the computing formula of the energy value of the second electromyographic signal section is as followsWherein, described Qn represents the energy value of the second electromyographic signal section, and tn is the start time point of this second electromyographic signal section, and T is the duration of this second electromyographic signal section, and described x is the amplitude that each time point is corresponding.In this embodiment, by calculating the energy value of one section of continuous print signal segment, to guarantee that this second electromyographic signal section is really for the terminal of the electromyographic signal detected, in the present embodiment, the second amount threshold can be equal with the first amount threshold.This and energy threshold can be set by developer, this second energy threshold can be the meansigma methods of the terminal of electromyographic signal corresponding to different gesture.
It should be noted that, in this article, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or system not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or system.When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of this key element, method, article or system.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art is it can be understood that can add the mode of required general hardware platform by software to above-described embodiment method and realize, hardware can certainly be passed through, but in a lot of situation, the former is embodiment more preferably.Based on such understanding, the part that prior art is contributed by technical scheme substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions with so that a station terminal equipment (can be mobile phone, computer, server, air-conditioner, or the network equipment etc.) perform the method described in each embodiment of the present invention.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all in like manner include in the scope of patent protection of the present invention.

Claims (11)

1. a terminal control method, it is characterised in that include step:
After terminal enters mouse action mode, detect the electromyographic signal that under this pattern, electromyographic signal detecting device detects, and obtain the eigenvalue of described electromyographic signal, wherein, the eigenvalue of described electromyographic signal is that described electromyographic signal carries out wavelet coefficient meansigma methods and/or the variance that wavelet decomposition obtains;
Whether the eigenvalue of electromyographic signal described in described terminal judges mates with default the First Eigenvalue;
If the eigenvalue of the described electromyographic signal of described terminal mates with the First Eigenvalue preset, then according to the mapping relations between the First Eigenvalue and control routine, it is determined that the control routine that the eigenvalue of described electromyographic signal is corresponding;
Control signal corresponding to control routine described in described terminal response.
2. terminal control method as claimed in claim 1, it is characterised in that the electromyographic signal that described terminal detecting electromyographic signal detecting device detects, and before obtaining the step of eigenvalue of the electromyographic signal detected, also include:
Described terminal receives the operation of user's hand shake, obtains the eigenvalue of received hand shake operation;
The eigenvalue that described hand shake is operated by described terminal and the Second Eigenvalue comparison preset;
When the eigenvalue that described hand shake operates mates with the Second Eigenvalue preset, described terminal enters mouse action mode.
3. terminal control method as claimed in claim 1 or 2, it is characterised in that described terminal detects the electromyographic signal that electromyographic signal detecting device detects, and the step obtaining the eigenvalue of described electromyographic signal includes:
When detecting the electromyographic signal that electromyographic signal detecting device detects, the electromyographic signal detected is sampled by described terminal, and obtains the energy value that each sampled point is corresponding;
Energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal is using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal;
Energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal is using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
Extract the eigenvalue of effective electromyographic signal between described starting point and terminal.
4. terminal control method as claimed in claim 3, it is characterized in that, the described energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal obtains the starting point of the first electromyographic signal section at the plurality of continuous sampling point place and includes as the step of the starting point of effective electromyographic signal:
Energy value at multiple continuous sampling points is all higher than the first energy threshold preset, and the quantity of multiple continuous sampling point more than default first amount threshold time, described terminal obtains the energy value of the first electromyographic signal section at the plurality of continuous sampling point place;
When the energy value of described first electromyographic signal section is more than default first energy threshold, described terminal is using the starting point of the described first electromyographic signal section starting point as effective electromyographic signal.
5. terminal control method as claimed in claim 4, it is characterized in that, the described energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, the terminal of the second electromyographic signal section at the plurality of continuous sampling point place is included by described terminal as the step of the terminal of effective electromyographic signal:
Energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, described terminal obtains the energy value of the second electromyographic signal section at the plurality of continuous sampling point place;
When the energy value of described second electromyographic signal section is less than default second energy threshold, described terminal is using the terminal of the described second electromyographic signal section terminal as effective electromyographic signal.
6. terminal control method as claimed in claim 1 or 2, it is characterised in that the eigenvalue step of the described electromyographic signal of described acquisition includes:
Described terminal detecting electromyographic signal in this mode, obtains the acceleration of the electromyographic signal respective operations object detected;
Whether the acquired accekeration of described terminal judges is more than predetermined acceleration threshold value;
Described terminal, when acquired accekeration is more than predetermined acceleration threshold value, obtains the eigenvalue of described electromyographic signal.
7. a terminal control system, it is characterised in that described terminal control system includes:
Detecting module, for, after entering mouse action mode, detecting the electromyographic signal that under this pattern, electromyographic signal detecting device detects;
Acquisition module, for obtaining the eigenvalue of described electromyographic signal, wherein, the eigenvalue of described electromyographic signal is that described electromyographic signal carries out wavelet coefficient meansigma methods and/or the variance that wavelet decomposition obtains;
Judge module, for judging whether the eigenvalue of described electromyographic signal mates with default the First Eigenvalue;
Processing module, if the eigenvalue for described electromyographic signal mates with default the First Eigenvalue, then according to the mapping relations between the First Eigenvalue and control routine, it is determined that the control routine that the eigenvalue of described electromyographic signal is corresponding;
Respond module, for responding the control signal corresponding to described control routine.
8. terminal control system as claimed in claim 7, it is characterised in that described detecting module, is additionally operable to receive the operation of user's hand shake;
Described acquisition module, is additionally operable to obtain the eigenvalue of received hand shake operation;
Described judge module, is additionally operable to the eigenvalue operated by described hand shake and the Second Eigenvalue comparison preset;
Described processing module, is additionally operable to, when the eigenvalue that described hand shake operates mates with the Second Eigenvalue preset, enter mouse action mode.
9. terminal control system as claimed in claim 7 or 8, it is characterised in that described acquisition module includes:
Sampling submodule, for when detecting the electromyographic signal that electromyographic signal detecting device sends, sampling to the electromyographic signal detected;
Energy value obtains submodule, for obtaining the energy value that each sampled point is corresponding;
Starting point obtains submodule, for the first energy threshold being all higher than presetting at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default first amount threshold time, using the starting point of the first electromyographic signal section at the plurality of continuous sampling point place starting point as effective electromyographic signal;
Terminal obtains submodule, energy value at multiple continuous sampling points is respectively less than the second default energy threshold, and the quantity of multiple continuous sampling point more than default second amount threshold time, using the terminal of the second electromyographic signal section at the plurality of continuous sampling point place terminal as effective electromyographic signal;
Extraction module, for extracting the eigenvalue of the effective electromyographic signal between described starting point and terminal.
10. terminal control system as claimed in claim 9, it is characterised in that described starting point obtains submodule and includes:
First energy value acquiring unit, for the first energy threshold being all higher than presetting at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default first amount threshold time, obtain the energy value of the first electromyographic signal section at the plurality of continuous sampling point place;
Starting point acquiring unit, for when the energy value of described first electromyographic signal section is more than default first energy threshold, using the starting point of the described first electromyographic signal section starting point as effective electromyographic signal.
11. the terminal control system as described in claim 9 or 10, it is characterised in that described terminal obtains submodule and includes:
Second energy value acquiring unit, for being respectively less than the second default energy threshold at the energy value of multiple continuous sampling points, and the quantity of multiple continuous sampling point more than default second amount threshold time, obtain the energy value of the second electromyographic signal section at the plurality of continuous sampling point place;
Terminal acquiring unit, for when the energy value of described second electromyographic signal section is less than default second energy threshold, using the terminal of the described second electromyographic signal section terminal as effective electromyographic signal.
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