CN108494421B - Electronic device, call control method and Related product - Google Patents

Electronic device, call control method and Related product Download PDF

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Publication number
CN108494421B
CN108494421B CN201810143496.6A CN201810143496A CN108494421B CN 108494421 B CN108494421 B CN 108494421B CN 201810143496 A CN201810143496 A CN 201810143496A CN 108494421 B CN108494421 B CN 108494421B
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CN
China
Prior art keywords
electronic device
call
eeg signal
brain wave
signal
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Expired - Fee Related
Application number
CN201810143496.6A
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Chinese (zh)
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CN108494421A (en
Inventor
张海平
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Priority to CN201810143496.6A priority Critical patent/CN108494421B/en
Publication of CN108494421A publication Critical patent/CN108494421A/en
Application granted granted Critical
Publication of CN108494421B publication Critical patent/CN108494421B/en
Expired - Fee Related legal-status Critical Current
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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • H04B1/3822Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving specially adapted for use in vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/72409User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01Indexing scheme relating to G06F3/01
    • G06F2203/011Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns

Abstract

The embodiment of the present application provides a kind of call control method, applied to electronic device, electronic device includes brain wave sensor, wherein, this method comprises: being brain wave control model by the control mode switch of electronic device when detecting that electronic device and automobile central control system are in interconnection state;When detecting passive call request, the eeg signal of user is acquired by brain wave sensor;It is determined according to eeg signal and responds passive call request, the call established between active call side connects.The embodiment of the present application is conducive to improve electronic device in intelligence, safety and the convenience of vehicle-mounted interconnection state processing incoming call requests.

Description

Electronic device, call control method and Related product
Technical field
This application involves fields of communication technology, and in particular to a kind of electronic device, call control method and Related product.
Background technique
As the improvement of people's living standards, the electronic devices such as mobile phone have become a kind of necessity, while to automobile Purchasing power be obviously improved, many families have all had automobile.When people drive a car and go on a journey, it is frequently encountered him The case where incoming call of people, driver needs to receive calls or hang up the telephone manually at this time, influences travel safety.
Summary of the invention
The embodiment of the present application provides a kind of electronic device, call control method and Related product, is conducive to improve electronics dress Set intelligence, safety and the convenience in vehicle-mounted interconnection state processing incoming call requests.
The first aspect of the embodiment of the present application provides a kind of electronic device, the electronic device include brain wave sensor and Processor, the brain wave sensor and processor coupling, wherein
The brain wave sensor acquires the brain of user for the electronic device when detecting passive call request Electric wave signal;
The processor will be described when for detecting that the electronic device and automobile central control system are in interconnection state The control mode switch of electronic device is brain wave control model;And for according to the determining response of the eeg signal Passive call request, the call established between active call side connect.
The second aspect of the embodiment of the present application provides a kind of call control method, is applied to electronic device, the electronics Device includes brain wave sensor, which comprises
When detecting that the electronic device and automobile central control system are in interconnection state, by the control mould of the electronic device Formula is switched to brain wave control model;
When detecting passive call request, the eeg signal of user is acquired by the brain wave sensor;
It is determined according to the eeg signal and responds the passive call request, establish the call between active call side Connection.
The third aspect of the embodiment of the present application provides a kind of call control apparatus, including is applied to electronic device, described Electronic device includes brain wave sensor, and the call control apparatus includes switch unit, acquisition unit and telephony unit, In,
Switch unit, when for detecting that the electronic device and automobile central control system are in interconnection state, by the electricity The control mode switch of sub-device is brain wave control model;
When for detecting passive call request, the brain electricity of user is acquired by the brain wave sensor for acquisition unit Wave signal;
Telephony unit responds the passive call request for determining according to the eeg signal, establishes and exhale with active Call connection between the side of crying.
The fourth aspect of the embodiment of the present application provides a kind of electronic device, including processor, memory, communication interface and One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned It manages device to execute, above procedure is included the steps that for executing the instruction in the embodiment of the present application second aspect either method.
5th aspect of the embodiment of the present application provides a kind of computer readable storage medium, wherein above-mentioned computer can Read the computer program that storage medium storage is used for electronic data interchange, wherein above-mentioned computer program executes computer The step some or all of as described in the embodiment of the present application second aspect either method.
6th aspect of the embodiment of the present application provides a kind of computer program product, wherein above-mentioned computer program produces Product include the non-transient computer readable storage medium for storing computer program, and above-mentioned computer program is operable to make to count Calculation machine executes the step some or all of as described in the embodiment of the present application second aspect either method.The computer program produces Product can be a software installation packet.
Implement the embodiment of the present application, has the following beneficial effects:
As can be seen that by the embodiment of the present application, electronic device is detecting that electronic device is in automobile central control system It is first brain wave control model by its control mode switch when interconnection state, secondly, when detecting passive call request, The eeg signal of user is acquired by brain wave sensor, responds passive call request finally, determining according to eeg signal, The call established between active call side connects.As it can be seen that electronic device can pass through driver's under vehicle-mounted interconnection state Brain wave is to determine whether receive calls, and the effective call of foundation connects, and answers or hang up manually electricity relative to driver Words scheme avoids user from influencing travel safety because manual complex operations distract attention, and is conducive to raising electronic device and exists Intelligence, safety and the convenience of vehicle-mounted interconnection state processing incoming call requests.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Figure 1A provides a kind of schematic diagram of electronic device for the embodiment of the present application;
Figure 1B is a kind of possible structural schematic diagram of brain wave sensor in the embodiment of the present application Figure 1A;
Fig. 1 C is another structural schematic diagram of brain wave sensor in the embodiment of the present application Figure 1A;
Fig. 1 D provides a kind of structural schematic diagram of electrod-array for the embodiment of the present application;
Fig. 1 E provides a kind of exemplary diagram of the signal processing circuit of brain wave sensor for the embodiment of the present application;
Fig. 2 provides a kind of flow diagram of call control method for the embodiment of the present application;
Fig. 3 provides the flow diagram of another call control method for the embodiment of the present application;
Fig. 4 is a kind of structural schematic diagram of electronic device provided by the embodiments of the present application;
Fig. 5 provides a kind of structural schematic diagram of call control apparatus for the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap Include other step or units intrinsic for these process, methods, product or equipment.
" embodiment " mentioned in this application is it is meant that a particular feature, structure, or characteristic described can be in conjunction with the embodiments Included at least one embodiment of the application.The phrase, which occurs, in each position in the description might not each mean phase Same embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art are explicitly Implicitly understand, embodiments described herein can be combined with other embodiments.
Electronic device involved by the embodiment of the present application may include the various handheld devices with wireless communication function, Mobile unit, wearable device calculate equipment or are connected to other processing equipments and various forms of radio modem User equipment (user equipment, UE), mobile station (mobile station, MS), terminal device (terminal Device) etc..For convenience of description, apparatus mentioned above is referred to as electronic device.
In order to better understand the technical solution of the application, first application session provided by the embodiments of the present application is controlled below The electronic device of method is introduced.Figure 1A is please referred to, Figure 1A provides a kind of signal of electronic device for the embodiment of the present application Figure.As shown in Figure 1A, electronic device 101 includes: shell 102, the circuit board 103 being set in the shell 102, brain wave biography Sensor 104 and the display screen 105 being set on the shell 102 are provided with processor 1031 and storage on the circuit board 103 Device 1032, the processor 1031 are connected with the brain wave sensor 104, memory 1032 and the display screen 105, The electronic device 101 may include physical button, can not also include physical button, not do unique restriction herein, wherein
The brain wave sensor 104, for acquiring the eeg signal of user;
The memory 1032, for storing preset parameter section;
The processor 1031 will when for detecting that the electronic device and automobile central control system are in interconnection state The control mode switch of the electronic device is brain wave control model;When detecting passive call request, pass through the brain electricity The eeg signal of wave sensor acquisition user;And determined according to the eeg signal and respond the passive call request, The call established between active call side connects.
Wherein, brain wave sensor 104 is properly termed as brain wave chip, brain wave receiver etc., brain wave sensing again Device 104 is integrated in an electronic, has special signal processing circuit, and connect with the processor of electronic device, according to acquisition Signal type can be divided into current type brain wave sensor 104 and electromagnetic type brain wave sensor 104, current type brain wave sensing Device 104 acquires the bioelectricity that cortex generates, and electromagnetic type brain wave sensor 104 acquires the electromagnetism radiated when human brain activity Wave.It is understood that the specific form of the brain wave sensor 104 can be diversified, unique restriction is not done herein.
Figure 1B is please referred to, Figure 1B is that a kind of possible structure of brain wave sensor 104 in the embodiment of the present application Figure 1A is shown It is intended to.As shown in Figure 1B, brain wave sensor includes signal picker 201, sender unit 202, signal receiver 203 and letter Number processing circuit 204, wherein signal picker 201 is connected with sender unit 202, signal receiver 203 and signal processing Circuit 204 is connected, wherein signal picker 201 is used to acquire the eeg signal of user, and signal processing circuit 204 can be with Analog filtering processing, A/D conversion and digital filtering, i.e. signal is carried out to the collected eeg signal of signal picker 201 to adopt After storage 201 collects eeg signal, signal receiver 203, signal receiver 203 are sent to by sender unit 202 The signal received is transferred to signal processing circuit 204, signal processing circuit 204 carries out simulation filter to eeg signal first Wave processing, filters out the noise signal in eeg signal, then will be converted into number by A/D by filtered signal The digital signal is being carried out digital filtering by digital filter by word signal, thus the higher brain wave letter of output signal-to-noise ratio Number arrive electronic device processor.
Optionally, signal picker 201 can be wearable signal picker, which for example can be with It is the signal acquisition helmet, signal picker 201 is also possible to patch type signal picker, can be attached to the head of user, right The eeg signal of user is acquired, and signal picker 201 can also be contactless signal picker, to acquire automobile For the brain wave of driver, which be can be set in the roof location on steering position, can be with For annular array, which has without contacting with driver's body, can be in certain journey User experience is promoted on degree.
Fig. 1 C to Fig. 1 E is please referred to, as shown in Fig. 1 C to Fig. 1 E, the alternatively possible structural schematic diagram of brain wave sensor, Brain wave sensor 104 may include electrod-array and signal processing module, wherein the electronic array, which is embedded in scalp, captures mind Electric signal through member, the structure of electrode section are needle-shaped permutation, and it may include instrument amplifier which, which divides, low Bandpass filter circuit, high-pass filtering circuit, modulus A/D conversion circuit and interface circuit etc..
Wherein, the processor 1031 includes application processor and baseband processor, and processor is the control of electronic device Center is stored in memory by running or executing using the various pieces of various interfaces and the entire electronic device of connection Interior software program and/or module, and the data being stored in memory are called, execute various functions and the place of electronic device Data are managed, to carry out integral monitoring to electronic device.Wherein, the main processing operation system of application processor, user interface and Application program etc., baseband processor mainly handle wireless communication.It is understood that above-mentioned baseband processor can not also integrate Into processor.Memory 1032 can be used for storing software program and module, and processor is stored in memory by operation Software program and module, thereby executing the various function application and data processing of electronic device.Memory 1032 can be main Including storing program area and storage data area, wherein storing program area can answer needed for storage program area, at least one function With program etc.;Storage data area, which can be stored, uses created data etc. according to electronic device.In addition, memory 1032 can be with It can also include nonvolatile memory, for example, at least disk memory, a flash memory including high-speed random access memory Device or other volatile solid-state parts.
Optionally, electronic device can control the brain wave sensor and work in the low power mode under static state, It is worked under motion state with high frequency mode, power consumption is reduced with this.
As can be seen that by the embodiment of the present application, electronic device is detecting that electronic device is in automobile central control system It is first brain wave control model by its control mode switch when interconnection state, secondly, when detecting passive call request, The eeg signal of user is acquired by brain wave sensor, responds passive call request finally, determining according to eeg signal, The call established between active call side connects.As it can be seen that electronic device can pass through driver's under vehicle-mounted interconnection state Brain wave is to determine whether receive calls, and the effective call of foundation connects, and answers or hang up manually electricity relative to driver Words scheme avoids user from influencing travel safety because manual complex operations distract attention, and is conducive to raising electronic device and exists Intelligence, safety and the convenience of vehicle-mounted interconnection state processing incoming call requests.
Optionally, in terms of determining the passive call request of response according to eeg signal, the processor 1031 is specifically used In: the characteristic parameter of eeg signal is obtained, characteristic parameter includes frequency and/or amplitude;If characteristic parameter is in preset ginseng Number interval then responds passive call request.
As it can be seen that in this example, electronic device pass through the eeg signal that directly will acquire characteristic parameter and preset ginseng Number interval is compared, and can reduce processor to a certain degree to the response time for responding passive call request, to promote use Family experience.
Optionally, obtain eeg signal characteristic parameter in terms of, the processor 1031 also particularly useful for: to brain electricity Wave signal carries out default processing, obtains benchmark eeg signal, the default processing include filtering processing, modulus A/D transformation and Digital filtering;Characteristic parameter is determined according to benchmark eeg signal.
As it can be seen that electronic device is by pre-processing and can filter out in eeg signal to eeg signal in this example Noise signal, noise signal such as contraction of muscle can generate the fluctuation of different frequency and amplitude, this fluctuation meeting and brain wave Signal is mixed in together while being collected by signal picker, to cause to the dissection process of eeg signal serious dry It disturbs, filters out the influence that this noise like can reduce to a certain extent noise signal to eeg signal, filtered signal is passed through Brain wave digital signal is obtained after crossing A/D conversion, digital signal is filtered again by digital filter, wherein number Word filter can have enlarging function, and then can also amplify to brain wave digital signal, promote to a certain extent pair The accuracy of signal analysis, while digital signal is filtered again, so that obtained benchmark eeg signal is more The eeg signal generated close to human brain, to improve the accuracy of system to a certain extent.
Optionally, in terms of the eeg signal for acquiring user by the brain wave sensor, the processor 1031 are specifically used for: determining the driver behavior region of automobile;The detection side of brain wave sensor is adjusted according to driver behavior region To;The eeg signal in driver behavior region is acquired by brain wave sensor.
As it can be seen that electronic device determines the driver behavior region of automobile by brain wave sensor, and adjusts brain in this example The detection direction of radio wave sensor is the direction in driver behavior region, can orient the driver behavior region of driver, to driving The brain wave for the person of sailing is acquired, and just can guarantee that the eeg signal that acquisition obtains is driver to a certain extent from collecting part Eeg signal, and then the noise signal in the eeg signal collected can be reduced to a certain extent, to subtract The in-band noise of few filter, improves brain wave signal-to-noise ratio to a certain extent, can finally be promoted to a certain extent to brain electricity The accuracy of wave signal resolution.
Optionally, in terms of the call connection between the foundation and active call side, the processor 1031 is specifically used In: it is connected by the call that the mobile communications network that electronic device is supported is established between active call side;Alternatively, electronics is filled The speech path network set is switched to the In-vehicle networking of automobile, is established by In-vehicle networking and is connect with the call of active call side.
As it can be seen that electronic device can judge that driver needs to receive calls by eeg signal in this example, pass through The call that its mobile communications network supported is established between active call side connects, and is not necessarily to the manual incoming call answering of user, thus The network quality for the mobile network that the safety or electronic device for improving driving to a certain extent are accessed in local terminal is poor When, the speech path network of electronic device can be switched to the In-vehicle networking of automobile, and establish and active call side by the network The In-vehicle networking of call connection, automobile accesses internet by the infrastructure in roadside, and establishes call with active call side and connect It connects, to improve the speech quality after call connection is established to a certain extent, promotes user experience.
Referring to Fig. 2, Fig. 2 provides a kind of flow diagram of call control method for the embodiment of the present application.It is applied to Electronic device as shown in Figure 1A, call control method are specific as follows:
When step 201, electronic device detect that electronic device and automobile central control system are in interconnection state, by electronic device Control mode switch be brain wave control model.
Optionally, it when processor detects that the control system of electronic device and automobile interconnects, while being detected by sensor Whether automobile is in driving status, is brain wave control by the control mode switch of electronic device if automobile is in driving status Molding formula.
Optionally, brain wave control model refers to that electronic device enables brain wave sensor, and is based on brain wave sensor The eeg signal of user is acquired, and executes the control model of preset function according to collected eeg signal, this is default Function for example can be call control, application control, unlock, takes pictures, video playing etc., not do unique restriction herein.
Optionally, electronic device can also obtain whether automobile is in driving status by the control system of automobile, specifically , such as the travel speed of automobile can be obtained by automotive control system, automobile can also be obtained by automotive control system The revolving speed of wheel judges the driving status of automobile.
It optionally, can also be by judging the row of automobile when the control system of electronic device and automobile is in interconnection state The control mode switch of electronic device is brain wave control by the road and other traffic informations for sailing speed, running car Mode, for example, when automobile driving speed is very fast by control mode switch be brain wave control model, the very fast example of automobile driving speed It such as can be for more than 40km/h, or 45km/h, the speed can have user's sets itself, and the road of running car is mountain When road or town road, significant attention is needed, then can be brain wave control model by control mode switch.
When step 202, electronic device detect passive call request, the brain wave of user is acquired by brain wave sensor Signal.
Optionally, electronic device acquires a kind of possible mode of the eeg signal of user by brain wave sensor Are as follows: firstly, electronic device determines the driver behavior region of automobile, brain wave sensor is then adjusted according to the driver behavior region Detection direction, the eeg signal in the driver behavior region is acquired finally by brain wave sensor.
Optionally, electronic device determines a kind of possible mode in the driver behavior region of automobile are as follows: in the driving of automobile Sensor is arranged in feature locations on the solid space of operating area, for example, can set driver behavior region to a kind of length The area of space of cube, at the midpoint on each vertex of the area of space of the cuboid, the central point in each face and every one side Place's setting sensor, electronic device incudes the sensor of above-mentioned setting in space, according to the position of the sensor sensed come Determine the driver behavior region of automobile, certain above-mentioned area of space may be other area of space, be only for example herein It is bright.
Optionally, the initial detection direction of brain wave sensor can be set in electronic device, detects automobile at it Behind driver area, its own detection direction of adjust automatically is adjusted to the direction of driver area from initial detection direction, may be used also The detection power that eeg signal is adjusted with the distance according to driver area apart from electronic device is arranged according to different distances Different detection power can improve to a certain extent the accuracy of detection relative to using fixed detection power, together When but also electronic device applicability have certain enhancing, to a certain extent reduce using constant power detection be more than should The generation for the case where accuracy when eeg signal outside the range that power can be detected effectively reduces.
Step 203, the electronic device are determined according to eeg signal responds passive call request, foundation and active call Call connection between side.
Optionally, electronic device can be established between active call side by the mobile communications network that its own is supported Call connection then pass through vehicle-mounted net alternatively, the speech path network of its own is switched to the In-vehicle networking of automobile by electronic device Network foundation is connect with the call of active call side.
In-vehicle networking is also referred to as vehicle communication network.Vehicle communication network (vehicular Ad hoc network, VANET) as novel vehicle communication network, (vehicle to vehicle, V2V) is may be implemented between vehicle and vehicle, The multi-hop wireless communication of (vehicle to infrastructure, V2I), mentions between vehicle and roadside infrastructure for vehicle For a variety of security application examples and non-security application, security application such as accident early warning and traffic administration etc., non-security application is for example Between road conditions instruction and Internet access and vehicle therefore multi-medium data transmission etc. switches the speech path network of electronic device It is interconnected by the wireless communication between automobile and roadside infrastructure being accessed by infrastructure for the In-vehicle networking of automobile Net, with active call side establish call connection, with this, in electronic device the network quality of its own mobile network supported compared with When poor, call connection is established by the infrastructure in roadside and active call side using the In-vehicle networking of automobile, it can be certain The speech quality of user is promoted in degree, and then promotes user experience.
As it can be seen that electronic device judges that driver needs to receive calls by eeg signal, the movement supported by it The call that communication network is established between active call side connects, and the manual incoming call answering of user is not necessarily to, to mention to a certain extent It, can be by electronic device when the network quality for the mobile network that the safety or electronic device itself for having risen driving are supported is poor Speech path network be switched to automobile In-vehicle networking and by the network foundation connect with the call of active call side, the vehicle of automobile Support grid network establishes call connection by internet and active call side by the infrastructure in roadside, to be promoted to a certain extent Speech quality after call connection is established, promotes user experience.As can be seen that by the embodiment of the present application, Yong Hu In driving, whether the electronic device with brain wave sensor that user carries detects it first mutual with the control system of automobile The control mode switch of its own is brain wave control model, by the control model of electronic device when detecting interconnection by connection Being switched to brain wave control model can be by the brain wave of driver to determine whether receiving calls, thus relative to driver Manual band of answering or hang up the telephone improves the safety that driving comes to a certain extent;Then, when electronic device detect by When dynamic call request, opens brain wave sensor and the eeg signal of driver is acquired, collecting driver's After eeg signal, analysis eeg signal is so that it is determined that responding the passive call request and establishing call company with active call side It connects, the call request of active call side can be responded by the eeg signal of driver with this, be driven in this process The person of sailing only needs imagination incoming call answering, and electronic device can help its incoming call answering, receive calls manually without driver, thus Safety of the driver in driving is improved to a certain extent.
In a possible example, the electronic device is determined according to the eeg signal responds the passive calling Request, comprising: the electronic device obtains the characteristic parameter of the eeg signal, the characteristic parameter include frequency and/or Amplitude;If the characteristic parameter is in preset parameter section, the passive call request is responded.
Optionally, processor carries out default place to eeg signal by the signal processing circuit in brain wave sensor Reason.Processing circuit includes analogue filter circuit, low-noise amplifier, A/D converter and digital filter circuit, analogue filter circuit Output end be connected with the input terminal of low-noise amplifier, the output end of low-noise amplifier and the input terminal of A/D converter It is connected, the output end of A/D converter is connected with the input terminal of digital filter.
Wherein, default processing is carried out to eeg signal are as follows: analog filter carries out simulation filter to eeg signal first Wave processing, filters out the out-of-band noise signal in eeg signal, is then put by low-noise amplifier to eeg signal Big processing, the signal-to-noise ratio of eeg signal can be promoted by low-noise amplifier, and then A/D converter turns eeg signal Digital brain electrical wave signal is turned to, digital brain electrical wave signal obtains benchmark brain wave letter after being filtered into digital filter excessively Number.
The characteristic parameter of eeg signal is determined according to benchmark eeg signal.
As it can be seen that in this example, by the characteristic parameter of eeg signal that directly will acquire and preset parameter section into Row compares, and can reduce processor to a certain degree to the response time for responding passive call request, to promote user experience.
In a possible example, the electronic device obtains the characteristic parameter of the eeg signal, comprising: described Electronic device carries out default processing to the eeg signal, obtains benchmark eeg signal, the default processing includes filtering Processing, modulus A/D transformation and digital filtering;Characteristic parameter is determined according to the benchmark eeg signal.
Optionally, the characteristic parameter of eeg signal is compared with preset parameter section, if at this feature parameter In in preset parameter section, then corresponding passive call request.
Optionally, a kind of possible acquisition pattern in preset parameter section are as follows: when system is initially installed, brain wave is passed Sensor is acquired the eeg signal under user's meditation state, then by the signal processing of signal in above-described embodiment Afterwards, the frequency of eeg signal of the user under meditation state and the combination of amplitude are obtained.Repeatedly under user's meditation state Eeg signal is acquired, and obtains the frequency of multiple groups eeg signal and the combination of amplitude, extracts above-mentioned multiple groups brain wave letter Number frequency and amplitude combination in frequency maximum value and minimum value and amplitude maximum value and minimum value, by frequency and The maximum value and minimum value of amplitude are combined, and obtain the combination of four frequencies and amplitude, with aforementioned four frequency and amplitude It combines and determines a plane domain, the group of all frequencies and amplitude in the plane domain is combined into preset parameter section.
Optionally, detect the characteristic parameter of the eeg signal of user not in parameter preset section in brain wave sensor It is interior, but actual conditions are that user needs incoming call answering, then the characteristic parameter of the eeg signal are added to preset parameter region Between in.By optimizing expansion to preset parameter section, its section capacity is promoted, it can be to a certain extent after lifting system The continuous accuracy to response incoming call, and then the user experience is improved to a certain extent.
As it can be seen that being believed in this example by pre-processing the noise that can be filtered out in eeg signal to eeg signal Number, noise signal such as contraction of muscle can generate the fluctuation of different frequency and amplitude, and this fluctuation can mix with eeg signal It is collected simultaneously by signal picker together, to cause serious interference to the dissection process of eeg signal, filters out this Noise like can reduce influence of the noise signal to eeg signal to a certain extent, and filtered signal is converted by A/D After obtain brain wave digital signal, digital signal is being filtered again by digital filter, wherein digital filter can Can be amplified to brain wave digital signal with enlarging function, and then also, promoted to a certain extent to signal analysis Accuracy, while digital signal is filtered again, so that obtained benchmark eeg signal is produced closer to human brain Raw eeg signal, to improve the accuracy of system to a certain extent.Referring to Fig. 3, Fig. 3 is the embodiment of the present application Provide the flow diagram of another call control method.Applied to electronic device as shown in Figure 1A, call control method It is specific as follows:
When step 301, electronic device detect that electronic device and automobile central control system are in interconnection state, by electronic device Control mode switch be brain wave control model.
Optionally, when the electronic device detects that electronic device and automobile central control system are in interconnection state, can sentence Automobile is determined in traveling or automobile will start.
When step 302, electronic device detect passive call request, processor control brain wave sensor determines automobile Driver behavior region.
Optionally, the electronic device determines the driver behavior region of automobile first, further, in driver behavior area User in domain can also wear brain signal device matched with radio wave sensor, it acts as positioning user head zone, The electronic device determines user's head region by detecting above-mentioned signal device, being capable of dynamic by setting signal device Confirmation user's head region, improve to a certain extent to user's eeg signal acquisition accuracy.
Step 303, the electronic device adjust the detection direction of brain wave sensor according to driver behavior region.
Optionally, the electronic device adjusts its detection direction by the mobile collection helmet, and the acquisition helmet is set to vapour The roof of the top of vehicle operator seat, position can move, and the acquisition helmet can be adjusted in real time according to the change in location of signal device Whole phase detection direction.
Step 304, the electronic device acquire the brain wave in the driver behavior region by the brain wave sensor Signal.
Optionally, brain wave sensor acquires the helmet by it and is acquired to the eeg signal of driver.
Step 305, electronic device obtain the characteristic parameter of eeg signal, and this feature parameter includes frequency and/or amplitude.
Optionally, the electronic device carries out eeg signal by the signal processing circuit in brain wave sensor pre- If processing.Processing circuit includes analogue filter circuit, low-noise amplifier, A/D converter and digital filter circuit, analog filtering The output end of circuit is connected with the input terminal of low-noise amplifier, the output end of low-noise amplifier and A/D converter it is defeated Enter end to be connected, the output end of A/D converter is connected with the input terminal of digital filter.
Wherein, default processing is carried out to eeg signal are as follows: analog filter carries out simulation filter to eeg signal first Wave processing, filters out the out-of-band noise signal in eeg signal, is then put by low-noise amplifier to eeg signal Big processing, the signal-to-noise ratio of eeg signal can be promoted by low-noise amplifier, and then A/D converter turns eeg signal Digital brain electrical wave signal is turned to, digital brain electrical wave signal obtains benchmark brain wave letter after being filtered into digital filter excessively Number.
The characteristic parameter of eeg signal is determined according to benchmark eeg signal.
If step 306, the characteristic parameter are in preset parameter section, the passive call request is responded.
Optionally, the characteristic parameter of eeg signal is compared with preset parameter section, if at this feature parameter In in preset parameter section, then corresponding passive call request.
Optionally, a kind of possible acquisition pattern in preset parameter section are as follows: when system is initially installed, the electronics Device is acquired the eeg signal under user's meditation state by brain wave sensor, then passes through above-mentioned steps 305, Obtain the frequency of eeg signal of the user under meditation state and the combination of amplitude.Repeatedly to the brain electricity under user's meditation state Wave signal is acquired, and obtains the frequency of multiple groups eeg signal and the combination of amplitude, extracts above-mentioned multiple groups eeg signal The maximum value and minimum value of frequency in the combination of frequency and amplitude and the maximum value and minimum value of amplitude, by frequency and amplitude Maximum value and minimum value be combined, the combination of four frequencies and amplitude is obtained, with the combination of aforementioned four frequency and amplitude Determine a plane domain, the group of all frequencies and amplitude in the plane domain is combined into preset parameter section.
Optionally, detect the characteristic parameter of the eeg signal of user not in parameter preset section in brain wave sensor It is interior, but actual conditions are that user needs incoming call answering, then the characteristic parameter of the eeg signal are added to preset parameter region Between in.By optimizing expansion to preset parameter section, its section capacity is promoted, it can be to a certain extent after lifting system The continuous accuracy to response incoming call, and then the user experience is improved to a certain extent.
Step 307, the electronic device is established by the mobile communications network that the electronic device is supported and active call Call connection between side;Alternatively, the speech path network of the electronic device to be switched to the In-vehicle networking of the automobile, pass through institute In-vehicle networking foundation is stated to connect with the call of active call side.
As can be seen that by the embodiment of the present application, the electronic device with brain wave sensor detect first its whether with The control system of automobile interconnects, and is brain wave control model by the control mode switch of its own when detecting interconnection, will be electric The control mode switch of sub-device be brain wave control model can by the brain wave of user to determine whether receive calls, from And band of answering or hang up the telephone manually relative to user, the safety that driving comes is improved to a certain extent;Then, work as electronics When device detects passive call request, opens brain wave sensor and the eeg signal of user is acquired, acquiring To after the eeg signal of user, analysis eeg signal obtains characteristic parameter, when characteristic parameter is in preset parameter section When, it determines and responds the passive call request and establish call connection with active call side, the brain wave of user can be passed through with this Signal responds the call request of active call side, receives calls manually without user in this process, electronic device is just Its incoming call answering can be helped, to improve safety of the user in driving to a certain extent, meanwhile, it devises pair Preset parameter section optimizes expansion, promotes its section capacity, can to a certain extent lifting system it is subsequent to response come The accuracy of electricity, and then the user experience is improved to a certain extent.
It is consistent with above-described embodiment, referring to Fig. 4, Fig. 4 is a kind of knot of electronic device provided by the embodiments of the present application Structure schematic diagram, as shown, the electronic device includes processor, memory, communication interface and one or more program, In, said one or multiple programs are stored in above-mentioned memory, and are configured to be executed by above-mentioned processor, above procedure Including the instruction for executing following steps;
When detecting that the electronic device and automobile central control system are in interconnection state, by the control mould of the electronic device Formula is switched to brain wave control model;
When detecting passive call request, the eeg signal of user is acquired by the brain wave sensor;
It is determined according to the eeg signal and responds the passive call request, establish the call between active call side Connection.
As can be seen that by the embodiment of the present application, electronic device is detecting that electronic device is in automobile central control system It is first brain wave control model by its control mode switch when interconnection state, secondly, when detecting passive call request, The eeg signal of user is acquired by brain wave sensor, responds passive call request finally, determining according to eeg signal, The call established between active call side connects.As it can be seen that electronic device can pass through driver's under vehicle-mounted interconnection state Brain wave is to determine whether receive calls, and the effective call of foundation connects, and answers or hang up manually electricity relative to driver Words scheme avoids user from influencing travel safety because manual complex operations distract attention, and is conducive to raising electronic device and exists Intelligence, safety and the convenience of vehicle-mounted interconnection state processing incoming call requests.
In a possible example, in terms of determining the passive call request of response according to eeg signal, described program In instruction be specifically used for executing following operation: obtain the characteristic parameter of eeg signal, characteristic parameter includes frequency and/or vibration Width;If characteristic parameter is in preset parameter section, passive call request is responded.
Instruction in another possible example, in terms of the characteristic parameter for obtaining eeg signal, in described program Specific also specific execution: carrying out default processing to eeg signal, obtains benchmark eeg signal, the default processing includes filter Wave processing, A/D transformation and digital filtering;Characteristic parameter is determined according to benchmark eeg signal.
In another possible example, described program is also used to execute: determining the driver behavior region of automobile;According to driving Sail the detection direction of operating area adjustment brain wave sensor;The brain wave in driver behavior region is acquired by brain wave sensor Signal.
In another possible example, the instruction in described program is specifically also specifically executed: being supported by electronic device Mobile communications network establish and active call side between call connect;Alternatively, the speech path network of electronic device is switched to The In-vehicle networking of automobile is established by In-vehicle networking and is connect with the call of active call side.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that , in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software mould for electronic device Block.Those skilled in the art should be readily appreciated that, in conjunction with each exemplary unit of embodiment description presented herein And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with Hardware or computer software drive the mode of hardware to execute, the specific application and design constraint item depending on technical solution Part.Professional technician can specifically realize described function to each using distinct methods, but this reality Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to electronic device, for example, can With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit In.Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real It is current that there may be another division manner.
Referring to Fig. 5, Fig. 5 provides a kind of structural schematic diagram of call control apparatus for the embodiment of the present application.Such as Fig. 5 institute Show, which includes switch unit 501, acquisition unit 502 and telephony unit 503, specific as follows:
Switch unit 501 will be described when for detecting that the electronic device and automobile central control system are in interconnection state The control mode switch of electronic device is brain wave control model;
When for detecting passive call request, the brain of user is acquired by the brain wave sensor for acquisition unit 502 Electric wave signal;
Telephony unit 503, for establishing according to the determining response passive call request of the eeg signal and actively Call connection between caller.
As can be seen that by the embodiment of the present application, electronic device is detecting that electronic device is in automobile central control system It is first brain wave control model by its control mode switch when interconnection state, secondly, when detecting passive call request, The eeg signal of user is acquired by brain wave sensor, responds passive call request finally, determining according to eeg signal, The call established between active call side connects.As it can be seen that electronic device can pass through driver's under vehicle-mounted interconnection state Brain wave is to determine whether receive calls, and the effective call of foundation connects, and answers or hang up manually electricity relative to driver Words scheme avoids user from influencing travel safety because manual complex operations distract attention, and is conducive to raising electronic device and exists Intelligence, safety and the convenience of vehicle-mounted interconnection state processing incoming call requests.
Optionally, in terms of determining the response passive call request according to the eeg signal, the telephony unit 503 are specifically used for: obtaining the characteristic parameter of the eeg signal, the characteristic parameter includes frequency and/or amplitude;And it uses If being in preset parameter section in the characteristic parameter, the passive call request is responded.
Optionally, in terms of the characteristic parameter for obtaining the eeg signal, the telephony unit 503 also particularly useful for: Default processing is carried out to the eeg signal, obtains benchmark eeg signal, the default processing includes filtering processing, modulus A/D transformation and digital filtering;Characteristic parameter is determined according to the benchmark eeg signal.
Optionally, it is specifically used in the acquisition unit 502: determines the driver behavior region of the automobile;According to described Driver behavior region adjusts the detection direction of the brain wave sensor;The driving behaviour is acquired by the brain wave sensor Make the eeg signal in region.
Optionally, the telephony unit 503 is also used to: the mobile communications network supported by the electronic device establish with Call connection between active call side;Alternatively, the speech path network of the electronic device to be switched to the vehicle-mounted net of the automobile Network is established by the In-vehicle networking and is connect with the call of active call side.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity The computer program of subdata exchange, it is as any in recorded in above method embodiment which execute computer A kind of some or all of call control method step.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating The non-transient computer readable storage medium of machine program, the computer program make computer execute such as above method embodiment Some or all of any call control method of middle record step.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit, It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, applying for that each functional unit in bright each embodiment can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment (can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application Step.And memory above-mentioned includes: USB flash disk, read-only memory (read-only memory, ROM), random access memory The various media that can store program code such as (random access memory, RAM), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory It may include: flash disk, read-only memory, random access device, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas; At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.

Claims (11)

1. a kind of electronic device, which is characterized in that including brain wave sensor and processor, the brain wave sensor with it is described Processor coupling, wherein
The processor determines the driver behavior region of automobile for the electronic device when detecting passive call request; The detection direction for adjusting the brain wave sensor is the direction in the driver behavior region;
The brain wave sensor, for acquiring the eeg signal in the driver behavior region;
The processor, when for detecting that the electronic device and automobile central control system are in interconnection state, by the electronics The control mode switch of device is brain wave control model;And for determining that response is described passive according to the eeg signal Call request, the call established between active call side connect.
2. the electronic device according to weighing and require 1, which is characterized in that respond the quilt determining according to the eeg signal In terms of dynamic call request, the processor is specifically used for: obtaining the characteristic parameter of the eeg signal, the characteristic parameter packet Include frequency and/or amplitude;If the characteristic parameter is in preset parameter section, the passive call request is responded.
3. electronic device according to claim 2, which is characterized in that in the characteristic parameter side for obtaining the eeg signal Face, the processor also particularly useful for: default processing is carried out to the eeg signal, obtains benchmark eeg signal, it is described Default processing includes filtering processing, modulus A/D transformation and digital filtering;
Characteristic parameter is determined according to the benchmark eeg signal.
4. electronic device according to claim 1-3, which is characterized in that it is described foundation with active call side it Between call connect aspect, the processor is specifically used for: by the mobile communications network that the electronic device is supported establish with Call connection between active call side;Alternatively, the speech path network of the electronic device to be switched to the vehicle-mounted net of the automobile Network is established by the In-vehicle networking and is connect with the call of active call side.
5. a kind of call control method, which is characterized in that be applied to electronic device, the electronic device includes brain wave sensing Device, which comprises
When detecting that the electronic device and automobile central control system are in interconnection state, the control model of the electronic device is cut It is changed to brain wave control model;
When detecting passive call request, determines the driver behavior region of automobile, adjust the detection side of the brain wave sensor To the direction for the driver behavior region, believed by the brain wave that the brain wave sensor acquires the driver behavior region Number;
It is determined according to the eeg signal and responds the passive call request, the call established between active call side connects It connects.
6. according to the method described in claim 5, it is characterized in that, described determined according to the eeg signal responds the quilt Dynamic call request, comprising:
The characteristic parameter of the eeg signal is obtained, the characteristic parameter includes frequency and/or amplitude;
If the characteristic parameter is in preset parameter section, the passive call request is responded.
7. according to the method described in claim 6, it is characterized in that, the characteristic parameter for obtaining the eeg signal, packet It includes:
Default processing is carried out to the eeg signal, obtains benchmark eeg signal, the default processing include filtering processing, Modulus A/D transformation and digital filtering;
Characteristic parameter is determined according to the benchmark eeg signal.
8. according to the described in any item methods of claim 5-7, which is characterized in that logical between the foundation and active call side Words connection, comprising:
It is connected by the call that the mobile communications network that the electronic device is supported is established between active call side;Alternatively,
The speech path network of the electronic device is switched to the In-vehicle networking of the automobile, is established by the In-vehicle networking and main The call connection of dynamic caller.
9. a kind of call control apparatus, which is characterized in that be applied to electronic device, the electronic device includes brain wave sensing Device, the call control apparatus include switch unit, acquisition unit and telephony unit, wherein
Switch unit fills the electronics when for detecting that the electronic device and automobile central control system are in interconnection state The control mode switch set is brain wave control model;
Acquisition unit when for detecting passive call request, determines the driver behavior region of automobile, adjusts the brain wave and passes The detection direction of sensor is the direction in the driver behavior region, acquires the driver behavior area by the brain wave sensor The eeg signal in domain;
Telephony unit responds the passive call request for determining according to the eeg signal, establishes and active call side Between call connection.
10. a kind of electronic device, which is characterized in that including processor, memory, communication interface, and one or more programs, One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet It includes for executing the instruction such as the step in the described in any item methods of claim 5-8.
11. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange, In, the computer program makes computer execute such as the described in any item methods of claim 5-8.
CN201810143496.6A 2018-02-11 2018-02-11 Electronic device, call control method and Related product Expired - Fee Related CN108494421B (en)

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