CN108310759A - Information processing method and related product - Google Patents

Information processing method and related product Download PDF

Info

Publication number
CN108310759A
CN108310759A CN201810141941.5A CN201810141941A CN108310759A CN 108310759 A CN108310759 A CN 108310759A CN 201810141941 A CN201810141941 A CN 201810141941A CN 108310759 A CN108310759 A CN 108310759A
Authority
CN
China
Prior art keywords
fatigue
eye
degree
game
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810141941.5A
Other languages
Chinese (zh)
Other versions
CN108310759B (en
Inventor
张海平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to CN201810141941.5A priority Critical patent/CN108310759B/en
Publication of CN108310759A publication Critical patent/CN108310759A/en
Application granted granted Critical
Publication of CN108310759B publication Critical patent/CN108310759B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/20—Input arrangements for video game devices
    • A63F13/21—Input arrangements for video game devices characterised by their sensors, purposes or types
    • A63F13/212—Input arrangements for video game devices characterised by their sensors, purposes or types using sensors worn by the player, e.g. for measuring heart beat or leg activity
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/14—Arrangements specially adapted for eye photography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/20—Input arrangements for video game devices
    • A63F13/21—Input arrangements for video game devices characterised by their sensors, purposes or types
    • A63F13/213—Input arrangements for video game devices characterised by their sensors, purposes or types comprising photodetecting means, e.g. cameras, photodiodes or infrared cells
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70—Game security or game management aspects
    • A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/10—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals
    • A63F2300/1012—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals involving biosensors worn by the player, e.g. for measuring heart beat, limb activity
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/10—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals
    • A63F2300/1087—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals comprising photodetecting means, e.g. a camera
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/55—Details of game data or player data management
    • A63F2300/5546—Details of game data or player data management using player registration data, e.g. identification, account, preferences, game history
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/80—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game specially adapted for executing a specific type of game
    • A63F2300/8082—Virtual reality

Abstract

The embodiment of the present application discloses a kind of electronic device, information processing method and Related product, including：The eeg signal of user is acquired by brain wave sensor；The fatigue of human brain degree of user is determined according to eeg signal；The eye image that user is acquired by camera obtains the eye fatigue degree of user according to eye image；Determine the game recommdation information for the game application for being adapted to the fatigue of human brain degree and the eye fatigue degree；Export the game recommdation information.The embodiment of the present application realizes that by fatigue of human brain degree and human eye fatigue strength synthesis be that user is adapted to game recommdation information, improves the intelligent and accuracy that electronic device carries out health monitoring.

Description

Information processing method and Related product
Technical field
This application involves technical field of electronic device, and in particular to information processing method and Related product.
Background technology
With the universal of each Terminal Type, augmented reality (Augmented Reality, abbreviation AR) and virtual reality The fast development of technology (Virtual Reality, abbreviation VR), various types of games is played the part of more and more important in people's lives Role, people are entertained by game, are interactive, exchange or study, the cultural life and substance for being greatly enriched people are given birth to It is living.During user plays game using electronic equipment, it often can excessively be absorbed in game content and uninterruptedly play for a long time Operation, causes body to be lost.
Invention content
The embodiment of the present application provides a kind of electronic device, information processing method and Related product, passes through brain to realize Electric wave status monitoring and human eye state monitoring are that user recommends matched game information, improve electronic device and carry out health monitoring Intelligent and accuracy.
In a first aspect, the embodiment of the present application provides a kind of electronic device, including processor, memory, camera and brain electricity Wave sensor, the memory, the camera and the brain wave sensor are coupled with the processor, wherein
The brain wave sensor, the eeg signal for acquiring user, the electronic device front stage operation have game Using；
The camera, the eye image for acquiring user；
The memory, for storing game recommdation information；
The processor, the fatigue of human brain degree for determining user according to the eeg signal；And for according to institute State the eye fatigue degree that eye image obtains user；And it is adapted to the fatigue of human brain degree and the eye fatigue degree for determining The game application game recommdation information；And for exporting the game recommdation information.
Second aspect, the application provide a kind of information processing method, are applied to electronic device, the electronic device includes brain Radio wave sensor and camera, the method includes：
The eeg signal of user is acquired by the brain wave sensor, the electronic device front stage operation has game to answer With；
The fatigue of human brain degree of user is determined according to the eeg signal；
The eye image that user is acquired by the camera obtains the eye fatigue of user according to the eye image Degree；
Determine the game recommdation information for the game application for being adapted to the fatigue of human brain degree and the eye fatigue degree；
Export the game recommdation information.
The third aspect, the embodiment of the present application provide a kind of device obtaining game recommdation information, are applied to electronic device, institute It includes brain wave sensor, camera, memory and processor to state electronic device, and the game recommdation device includes signal acquisition Unit, image acquisition units, data processing unit and game recommdation unit；
The signal gathering unit, the eeg signal for acquiring user；
Described image collecting unit, the eye image for acquiring user；
The data processing unit, the fatigue of human brain degree for determining user according to the eeg signal；And it is used for The eye fatigue degree of user is obtained according to the eye image；And it is adapted to the fatigue of human brain degree and the eyes for determining The game recommdation information of the game application of fatigue strength；
The game recommdation unit, for exporting the game recommdation information.
Fourth aspect, the embodiment of the present application provide a kind of electronic device, including processor, memory, communication interface, and One or more programs, one or more of programs are stored in the memory, and are configured by the processor It executes, above procedure includes the instruction for executing the step in the embodiment of the present application second aspect either method.
5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above computer is readable Computer program of the storage medium storage for electronic data interchange, wherein above computer program makes computer execute such as Step some or all of described in the embodiment of the present application second aspect either method.
6th aspect, the embodiment of the present application provide a kind of computer program product, wherein above computer program product Non-transient computer readable storage medium including storing computer program, above computer program are operable to make calculating Machine executes the step some or all of as described in the embodiment of the present application second aspect either method.The computer program product It can be a software installation packet.
As can be seen that in the embodiment of the present application, electronic device foreground passes through brain first in the case where running game is applied Radio wave sensor acquires the eeg signal of user and secondly determines the fatigue of human brain degree of user according to eeg signal, again, The eye image that user is acquired by camera obtains the eye fatigue degree of user according to eye image, again, determines adaptation people The game recommdation information of the game application of brainfag degree and eye fatigue degree finally exports game recommdation information.As it can be seen that electronics fills The fatigue of human brain degree of user can be analyzed by acquiring eeg signal by setting, while the eye of user is analyzed by acquiring eye image Eyeball fatigue strength, and then comprehensive fatigue of human brain degree and eye fatigue degree accurately determine the game recommdation of adaptation user's current body state Information, and the game recommdation information is exported to remind user to adjust physical condition in time, avoid user from excessively indulging game itself And body is caused to be lost, be conducive to raising electronic device and carry out the intelligent and accurate of health monitoring under running game application state Exactness.
Description of the drawings
The attached drawing involved by the embodiment of the present application will be briefly described below.
Figure 1A is a kind of structural schematic diagram of electronic device provided by the embodiments of the present application；
Figure 1B is a kind of structural schematic diagram of brain wave sensor provided by the embodiments of the present application；
Fig. 1 C are the structural schematic diagrams of the electronic device of integrated brain wave sensor provided by the embodiments of the present application；
Fig. 1 D are the structural schematic diagrams of another brain wave sensor provided by the embodiments of the present application；
Fig. 2A is a kind of flow diagram of information processing method provided by the embodiments of the present application；
Fig. 2 B are the duration distribution schematic diagrams that opens and closes eyes of user in a kind of period provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another information processing method disclosed in the embodiment of the present application；
Fig. 4 is the flow diagram of another information processing method disclosed in the embodiment of the present application；
Fig. 5 is a kind of structural schematic diagram of electronic device disclosed in the embodiment of the present application；
Fig. 6 is a kind of functional unit composition block diagram of electronic device disclosed in the embodiment of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art The every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
Term " first ", " second " in the description and claims of this application and above-mentioned attached drawing etc. are for distinguishing Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that It is to cover and non-exclusive includes.Such as process, method, system, product or the equipment for containing series of steps or unit do not have It is defined in the step of having listed or unit, but further includes the steps that optionally not listing or unit, or optionally also wrap It includes for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and Implicitly understand, embodiment described herein can be combined with other embodiments.
It describes in detail below to the embodiment of the present application.
A is please referred to Fig.1, Figure 1A is a kind of structural schematic diagram of electronic device 100 provided by the embodiments of the present application, the electricity Sub-device 100 includes：Shell 110, frame 120, the radio frequency system 170 being set in the shell 110, store processor 140 Device 150 and brain wave sensor 160, the display screen 130 and camera 180 being set on the shell 110, the brain wave Sensor 160 and memory 150 are connect with the processor 140, and the processor 140 connects the memory 150, brain electricity Wave sensor 160, radio frequency system 170 and camera 180 further include transmitter 171, receiver in the radio frequency system 170 172 and signal processor 173；Wherein, the brain wave sensor 160, the eeg signal for acquiring user, the electronics Device front stage operation has game application；The camera 180, the eye image for acquiring user；The memory 150 is used In storage game recommdation information；The processor 140, the fatigue of human brain degree for determining user according to the eeg signal； And the eye fatigue degree for obtaining user according to the eye image；And for determine be adapted to the fatigue of human brain degree and The game recommdation information of the game application of the eye fatigue degree；And for exporting the game recommdation information.
Wherein, brain wave sensor 160 is properly termed as brain wave chip, brain wave receiver etc., brain wave sensing again Device 160 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 160 and electromagnetic type brain wave sensor 160, current type brain wave sensing Device 160 acquires the bioelectricity that cortex generates, and electromagnetic type brain wave sensor 160 acquires the electromagnetism radiated when human brain activity Wave.It is understood that the specific form of the brain wave sensor 160 can be diversified, unique restriction is not done herein.
For example, as shown in Figure 1B, which may include Anneta module and signal processing module, It can specifically be integrated on the main circuit board of electronic device, Anneta module acquires the electromagnetic wave signal generated when human brain activity, letter Number processing module executes the processing such as denoising, filtering for the electromagnetic wave signal, ultimately forms benchmark eeg signal and is sent to place Reason device is handled.
Again for example, as shown in Figure 1 C and 1D, which may include wearable signal picker, In the host cavity for the rear shell that the wearable signal picker can be contained in electronic device as shown in Figure 1 C, in use, as schemed Shown in 1D, wearable signal picker and electronic device local terminal wired connection or it is wirelessly connected that (wireless connection is corresponding wearable Signal picker is integrated with wireless communication module and is communicated to connect with electronic device local terminal).
Wherein, processor 140 includes application processor and baseband processor, and processor is the control centre of electronic device, Using the various pieces of various interfaces and the entire electronic device of connection, by run or execute be stored in it is soft in memory Part program and/or module, and the data being stored in memory are called, execute the various functions and processing number of electronic device According 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 everywhere It manages in device.Memory 150 can be used for storing software program and module, and processor is stored in the software journey of memory by operation Sequence and module, to execute various function application and the data processing of electronic device.Memory 150 can include mainly storage Program area and storage data field, wherein storing program area can storage program area, the application program needed at least one function Deng；Storage data field can be stored uses created data etc. according to electronic device.In addition, memory 150 may include height Fast random access memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device, Or other volatile solid-state parts.
In the specific implementation, electronic device can control the brain wave sensor 160 under static state with low-power mould Formula works, and is worked under static state with high frequency mode, power consumption is reduced with this.
In a specific example, electronic device acquires the eeg signal of user by brain wave sensor first, At the same time, the front stage operation of electronic device has games, and secondly, the camera of electronic device acquires eye image.Can In the embodiment of choosing, as shown in figure iD, the display screen face of user and electronic device, when camera needs to acquire eye image When, directly human eye can be identified according to the face recognition result trained in electronic device, then camera is clapped When taking the photograph image, eyes image is directly shot, eyes image may include geisoma to cheekbone part, camera and geisoma and cheekbone Between be in γ degree angle, shoot angle in image.Optionally, camera can also directly carry out recognition of face, clap The image including entire face is taken the photograph, then facial image is identified by processor, obtains the eye image of user. Finally, processor determines the fatigue of human brain degree of user according to the eeg signal, and obtains user according to the eye image Eye fatigue degree；Determine the game recommdation information of the game application for the fatigue of human brain degree and eye fatigue degree that adaptation obtains, it is defeated Going out the game recommdation information is supplied to user to select.It is understood that obtaining eeg signal and obtaining human eye figure Specific sequencing is not present as between, two steps can be carried out with random order, or be carried out at the same time two steps.
In a possible example, described in the determining adaptation fatigue of human brain degree and the eye fatigue degree The game recommdation message context of game application, the processor 140 are specifically used for：Inquire the game of the preset game application Recommendation information set, obtains the fatigue of human brain degree and the corresponding game recommdation information of the eye fatigue degree, and the game pushes away It includes between fatigue of human brain degree and the fatigue strength parameter combination and game recommdation information of eye fatigue degree composition to recommend information aggregate Correspondence.
It can be seen that in this example, different fatigue of human brain degree and the corresponding game recommdation information of eye fatigue degree are different, And between fatigue of human brain degree and the fatigue strength parameter combination and game recommdation information of eye fatigue degree composition, there are correspondences, have Help be promoted the matching degree of body state and game recommdation information.
In a possible example, the fatigue of human brain degree includes the first fatigue strength section and the second fatigue strength section, First fatigue strength section is used to indicate human brain and is in fatigue state, and second fatigue strength section is used to indicate human brain and is in Not fatigue state；The human eye fatigue strength includes third fatigue strength section and the 4th fatigue strength section, third fatigue strength area Between be used to indicate human eye and be in fatigue state, the 4th fatigue strength section is used to indicate human eye and is in not fatigue state；It is described Game recommdation information aggregate includes following correspondence：
First parameter combination or the second parameter combination and the correspondence between game and rest prompt message is exited, it is described First parameter combination includes being in the fatigue of human brain degree in first fatigue strength section and in third fatigue strength section Human eye fatigue strength, second parameter combination include fatigue of human brain degree in second fatigue strength section and in described the The human eye fatigue strength in three fatigue strength sections；The game content that third parameter combination is less than default difficulty threshold value with game difficulty is recommended Correspondence between information, the third parameter combination include first fatigue strength section fatigue of human brain degree and be in institute State the human eye fatigue strength in the 4th fatigue strength section；4th parameter combination is higher than the game content of default difficulty threshold value with game difficulty Correspondence between recommendation information, the third parameter combination include fatigue of human brain degree and the place in second fatigue strength section Human eye fatigue strength in the 4th fatigue strength section.
It can be seen that in this example, fatigue of human brain degree is divided into fatigue state and non-fatigue state, human eye fatigue strength is also classified into Then two kinds of fatigue strengths of two kinds of fatigue strengths of human brain and human eye are combined, obtain by fatigue state and non-fatigue state Four kinds of parameter combinations, and it is provided with game content recommendation information correspondence for four kinds of parameter combinations, it can further promote people The matching degree of body state and game recommdation information recommends accurate game information or prompt message for user.
In a possible example, in terms of the fatigue of human brain degree for determining user according to the eeg signal, The processor 140 is specifically used for：Remove in the eeg signal eye electricity, myoelectricity interference, obtain benchmark eeg signal； The energy value of δ waves in brain wave, the energy value of θ waves, the energy value of α waves and β waves are obtained according to the benchmark eeg signal Energy value；Energy value according to the energy value of the δ waves, the energy value of the θ waves, the energy value of the α waves and the β waves is true Determine fatigue of human brain degree.
As it can be seen that in this example, noise reduction process is carried out to collected brain wave information, obtains benchmark eeg signal, so Four kinds of waves are isolated from brain wave according to the difference of wave band afterwards, determine fatigue of human brain degree from the energy value comparison of four kinds of waves, really The accuracy and reliability of the fatigue of human brain degree obtained are protected.
In a possible example, in terms of the eye fatigue degree for obtaining user, the processor 140 is specifically used In：Obtain the eye opening duration of user in preset time；Obtain the eye-closing period of user in preset time；According to eye opening duration and institute The difference between eye-closing period is stated, determines the eye fatigue degree of user.
In this example, due to the eye opening time of user get over it is longer than the closed-eye time of user, i.e., the eye opening duration of user and Eye-closing period difference is bigger, illustrates that user's use is more long between at the moment, eye fatigue degree is higher, so can obtain use in aforementioned manners The fatigue strength parameter value of family eyes, the accuracy rate for promoting instruction eyes of user fatigue strength.
As it can be seen that in the embodiment of the present application, electronic device passes through the place to the eeg signal and eye image that get Reason, obtains corresponding parameter, accurately indicates fatigue of human brain degree and human eye fatigue strength according to parameter, and by fatigue of human brain degree and human eye Fatigue strength is combined, and obtains the game recommdation information of adaptation, has been considered two kinds of fatigue strength factors, has been improved electronic device The intelligent and accuracy of health monitoring is carried out under running game application state.
Fig. 2A is please referred to, Fig. 2A is a kind of flow of information processing method provided in an embodiment of the present invention, is applied to as schemed Electronic device shown in 1A, the electronic device includes brain wave sensor and camera, as shown, this information processing method Including：
Step 201, the electronic device acquire the eeg signal of user by the brain wave sensor, according to described Eeg signal determines the fatigue of human brain degree of user.
Wherein, the collected eeg signal of brain wave sensor is some spontaneous rhythmic neural electrical activities, Frequency variation range can be divided into four wave bands, i.e. δ (1-4Hz), θ (4.1-8Hz), α between 1-30 times per second (8.1-14Hz) and β (14.1-30Hz).The fatigue of human brain degree of user can be compared according to the energy of this four wave bands to obtain .
In a possible embodiment, the human brain of user is obtained according to the collected eeg signal of brain wave sensor Fatigue strength, carries out noise reduction process by collected eeg signal first, then removal eye electricity, myoelectricity interference are believed brain wave δ waves, θ waves, α waves and β wavelength-division sections in number carry out Fourier transformation after preserving and obtain Fourier's ingredient；N point finite length sequences X (n) discrete fourier (DFT) is：
Wherein X (k) indicates that Fourier's ingredient after transformation, N indicate sampling number,
After obtaining Fourier's ingredient, power spectrum density is acquired according to X (k), reflection δ waves, θ waves, α waves and β waves are current Shared status in E.E.G.It can so obtain：
P (k) is to utilize the calculated power spectrum density of period map method.
EEG signals are decomposed into 4 basilic rhythms, i.e. δ waves, θ waves, α waves and β waves, the energy of four rhythm and pace of moving things is with brain Degree of fatigue change, when δ waves and θ waves account for leading, show that people is clouding of consciousness or is in fatigue state, α waves and β waves account for master When leading, shows people's Consciousness or be in active state, then, it is calculated, can be obtained according to above-mentioned Fourier transformation and spectral density Obtaining the corresponding energy balane formula of four rhythm and pace of moving things is：
Wherein Eδ, Eθ, EαAnd EβThe energy of δ waves, θ waves, α waves and β waves is corresponded to respectively.The fatigue strength of so human brain is available Following formula calculates：
H=(Eδ+Eθ)/(Eα+Eβ) (4)
Noise reduction process is carried out to collected brain wave information in this example, obtains benchmark eeg signal, then basis The difference of wave band isolates four kinds of waves from brain wave, determines fatigue of human brain degree from the energy value comparison of four kinds of waves, it is ensured that obtain The accuracy and reliability of the fatigue of human brain degree taken.
Step 202, the electronic device acquire the eye image of user by the camera, according to the eye image Obtain the eye fatigue degree of user.
Specifically, according to collected eye image, eye opening or the closed-eye state of user can be captured, and according to adopting The multiple image collected, it can be determined that the primary lasting duration of opening eyes or close one's eyes of user, and according within a certain period of time Difference between user's eye opening duration and eye-closing period, it can be determined that the eye fatigue degree of user.
In an optional example, the eye fatigue degree for obtaining user includes：User's opens in acquisition preset time period At the moment grow；Obtain the eye-closing period of user in preset time period；According to the difference between eye opening duration and the eye-closing period, really Determine the eye fatigue degree of user.
In the specific implementation, under normal conditions, if user is immersed in a game, persistently staring at electronic device display screen Time all can be more than a hour, and if continue closely be more than uninterruptedly three hours with eye, it will cause generally use Asthenopia, therefore, preset time period can be a hour, two hours or three hours etc..In addition, normal person's each minute It blinks 10~20 times, the time blinked each time is about 0.2~0.4 second, is divided into a short time every time 4~5 seconds, is indicated per minute The eyes-open state and closed-eye state switching times of human eye are 10~20 times, and the duration closed one's eyes every time is about 0.2 second~0.4 second, The duration of eye opening is about 4~5 seconds.In a preset period T, such as user is in the eye opening duration of a certain minute and eye closing Duration is as shown in Figure 2 B, wherein the time of opening eyes includes：P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12, P13 are closed Include between at the moment：C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, C12, C13, in a preset period T, Including M minutes, if it is assumed that in this M minutes, the frequency of wink of user was held essentially constant, then the eye opening duration of user and eye closing The difference of duration is represented by：
Wherein i indicates ith blink.Optionally, in preset time period T, the frequency of wink of user is as the time becomes Change and changes, then can repeatedly be sampled to the eye opening eye closing situation in the period, such as per 10min sampling one Secondary, then it is L=M/10 times to sample number, it is assumed that in per sub-sampling, number of winks Xt, (1≤1 number), then user's opens At the moment long and eye-closing period difference is represented by：
Optionally, it in preset time period T, can also be monitored in real time, each minute eye image is all carried out Sampling, then the eye opening duration of user and the difference of eye-closing period are represented by：
Similarly, according to the above-mentioned calculation formula for seeking eye opening duration and eye-closing period difference, camera can be rationally obtained The method for obtaining user's eye image includes the human eye figure intercepted in preset time period T in a representative period t Picture；Or preset time period T is divided into L deciles according to period s, interception one is representative in each decile duration Period in eye image, correspond to period t1, t2 ... tl；Or camera monitors human eye in real time, always according to Fixed frequency (such as 100 milli second/time, 50 milliseconds/inferior) shooting eye image, obtain each blink period eye opening duration and The image of eye-closing period；Or the method that camera uses video admission, it is lasting to obtain detection eye image, then according to video Acquisition opens and closes eyes difference data.
By providing a kind of specific human eye fatigue strength research method in this example, obtain can quantitative evaluation human eye fatigue Parameter value is spent, to accurate evaluator eye fatigue, and is that user is adapted to game according to human eye fatigue strength combination fatigue of human brain degree Recommendation information improves matched accuracy.
Step 203, the electronic device determine the game for being adapted to the fatigue of human brain degree and the eye fatigue degree The game recommdation information of application.
Specifically, the game recommdation information aggregate for inquiring the preset game application, obtain the fatigue of human brain degree and The corresponding game recommdation information of the eye fatigue degree, the game recommdation information aggregate includes fatigue of human brain degree and eye fatigue Spend the correspondence between the fatigue strength parameter combination and game recommdation information of composition.
In an optional example, fatigue of human brain degree include the first fatigue strength section and the second fatigue strength section, first Fatigue strength section is used to indicate human brain and is in fatigue state, and the second fatigue strength section is used to indicate human brain and is in not fatigue state； Human eye fatigue strength includes third fatigue strength section and the 4th fatigue strength section, and third fatigue strength section is used to indicate human eye and is in tired Labor state, the 4th fatigue strength section are used to indicate human eye and are in not fatigue state；Game recommdation information aggregate includes following correspondence Relationship：
First parameter combination or the second parameter combination and the correspondence between game and rest prompt message is exited, first Parameter combination includes the fatigue of human brain degree in the first fatigue strength section and human eye fatigue strength in third fatigue strength section, the Two parameter combinations include the fatigue of human brain degree in the second fatigue strength section and the human eye fatigue strength in third fatigue strength section；
Third parameter combination is less than the corresponding pass between the game content recommendation information of default difficulty threshold value with game difficulty System, third parameter combination include the fatigue of human brain degree in the first fatigue strength section and the human eye fatigue in the 4th fatigue strength section Degree；
4th parameter combination is higher than the corresponding pass between the game content recommendation information of default difficulty threshold value with game difficulty System, third parameter combination include the fatigue of human brain degree in the second fatigue strength section and the human eye fatigue in the 4th fatigue strength section Degree.
It can be obtained in a specific example, such as according to the method in step 201, fatigue of human brain degree can be according to formula (4) it obtains, and there are a brain wave fatigue strength critical value Ht, when the brain wave fatigue strength of user is higher than this value, indicate User's human brain is in fatigue state, when user's brain wave fatigue strength is less than this value, indicates that user's human brain is in not tired shape State.Similarly, the difference of eye opening duration and eye-closing period can be calculated according to formula (5)~(7), wherein there are a critical value Qt, When the difference of eye opening duration and eye-closing period is less than this value, human eye is in not fatigue state, when eye opening duration and eye closing Indicate that human eye is in fatigue state when long difference is more than this value.Shown in as shown in Table 1 and Table 2：
The correspondence of table 1 brain wave fatigue strength and fatigue of human brain state
Second fatigue strength section First fatigue strength section
Brain wave fatigue strength parameter (0, Ht) [Ht,,+∞]
Human brain state Not fatigue state Fatigue state
The correspondence of the difference and human eye fatigue state of 2 eye opening duration of table and eye-closing period
4th fatigue strength section Third fatigue strength section
Human eye fatigue strength parameter (- ∞, Qt) [Qt,+∞]
Human eye state Not fatigue state Fatigue state
It can get the parameter combination of fatigue of human brain degree and human eye fatigue strength according to Tables 1 and 2, as shown in table 3：
The parameter combination of table 3 fatigue of human brain degree and human eye fatigue strength
Fatigue of human brain degree parameter Human eye fatigue strength parameter
First parameter combination [Ht,,+∞] [Qt,+∞]
Second parameter combination (0, Ht) [Qt,+∞]
Third parameter combination [Ht,+∞] (- ∞, Qt)
4th parameter combination (0, Ht) (- ∞, Qt)
After the parameter combination for obtaining fatigue of human brain degree and human eye fatigue strength, parameter combination and game recommdation information are carried out pair It answers, as shown in table 4：
The correspondence of table 4 parameter combination and game recommdation information
Matched game recommdation information is provided to the user according to above-mentioned correspondence.
This example is carried by providing a kind of parameter combination method of specific fatigue of human brain degree and human eye fatigue strength for user For the game recommdation information of adaptation, when being in fatigue state to the loss of human brain and human eye when human brain being avoided to be in fatigue state pair The damage of eyesight improves the matching degree of body state and game recommdation information.
Step 204, electronic device export the game recommdation information.
Specifically, electronic device includes display screen, and when processor obtains game recommdation information and exports, display screen is to institute Game recommdation information is stated to be shown.User adjusts state and the selection for oneself playing game according to the game recommdation information of display.
In the embodiment of the present application, electronic device foreground is passed by brain wave first in the case where running game is applied Sensor acquires the eeg signal of user and secondly the fatigue of human brain degree of user is determined according to eeg signal, again, by taking the photograph As the eye image of head acquisition user, the eye fatigue degree of user is obtained according to eye image, again, determines adaptation fatigue of human brain The game recommdation information of the game application of degree and eye fatigue degree finally exports game recommdation information.As it can be seen that electronic device can The fatigue of human brain degree of user is analyzed by acquiring eeg signal, while the eye fatigue of user is analyzed by acquiring eye image Degree, and then comprehensive fatigue of human brain degree and eye fatigue degree accurately determine the game recommdation information of adaptation user's current body state, And the game recommdation information is exported to remind user to adjust physical condition in time, avoid user from excessively indulging game itself and cause Body is lost, and is conducive to improve the intelligent and accuracy that electronic device carries out health monitoring under running game application state.
It is consistent with embodiment shown in above-mentioned Fig. 2A, referring to Fig. 3, Fig. 3 is a kind of letter provided by the embodiments of the present application The flow diagram of processing method is ceased, the electronic device as described in Figure 1A is applied to, the electronic device includes brain wave sensing Device and camera, as shown, this information processing method includes：
Step 301, the electronic device acquire the eeg signal of user by the brain wave sensor, according to described Eeg signal determines the fatigue of human brain degree of user；
Step 302, the electronic device acquire the eye image of user by the camera, according to the eye image Obtain the eye fatigue degree of user；
Step 303, the electronic device inquire the game recommdation information aggregate of the preset game application, described in acquisition Fatigue of human brain degree and the corresponding game recommdation information of the eye fatigue degree, the game recommdation information aggregate includes fatigue of human brain Correspondence between degree and the fatigue strength parameter combination and game recommdation information of eye fatigue degree composition；
Step 304, the output game recommdation information.
As can be seen that in the embodiment of the present application, the game application that electronic device is run includes game recommdation information collection It closes, the parameter combination that the game recommdation information in game recommdation information aggregate is formed with fatigue of human brain degree and eye fatigue degree It is corresponded to, the game recommdation information of adaptation can be obtained and is exported to user, this process improves electronic devices to swim in operation The intelligent and accuracy of health monitoring is carried out under play application state.
It is consistent with embodiment shown in above-mentioned Fig. 2A, referring to Fig. 4, Fig. 4 is another kind provided by the embodiments of the present application The flow diagram of information processing method is applied to the electronic device as described in Figure 1A, the electronic device includes that brain wave passes Sensor and camera, as shown, this information processing method includes：
Step 401, the eeg signal that user is acquired by the brain wave sensor；
Eye electricity, myoelectricity interference in step 402, the removal eeg signal, obtain benchmark eeg signal；
Step 403 obtains the energy value of δ waves, the energy value of θ waves, α waves in brain wave according to the benchmark eeg signal Energy value and β waves energy value；
Step 404, according to the energy value of the δ waves, the energy value of the θ waves, the energy value of the α waves and the β waves Energy value determine fatigue of human brain degree；
Step 405, the eye image that user is acquired by the camera；
Step 406, the eye opening duration for obtaining user in preset time period；
Step 407, the eye-closing period for obtaining user in preset time period；
Step 408, according to the difference between eye opening duration and the eye-closing period, determine the eye fatigue degree of user；
Step 409, the preset game application of inquiry game recommdation information aggregate, obtain the fatigue of human brain degree and The corresponding game recommdation information of the eye fatigue degree；
Step 410, the output game recommdation information.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first Signal carries out noise reduction process to collected eeg signal, and corresponds to energy according to the wave of four kinds of different frequency ranges in brain wave The variation of value determines fatigue of human brain degree；Then electronic device acquires the eye image of user by camera, is obtained according to image Difference between the eye opening duration and eye-closing period of user within a preset period of time, determines the eye fatigue degree of user；Last root According to the parameter combination of the fatigue of human brain degree and eye fatigue degree of user, recommend the game information of adaptation for user.It is tired in conjunction with human brain The parameter combination of Lao Du and eye fatigue degree is user's recommended games information, it is possible to reduce is existed when only with reference to a kind of data information Data acquiring errors or data analysis error, and error of the specific individual between physical condition and Data Representation, carry The accuracy of electronic device recommended games information is risen.
It is consistent with above-mentioned Fig. 2A, Fig. 3, embodiment shown in Fig. 4, it is provided referring to Fig. 5, Fig. 5 is the embodiment of the present application A kind of electronic device structural schematic diagram, as shown, the electronic device include 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 includes the instruction for executing following steps：The brain of user is acquired by the brain wave sensor Electric wave signal, the electronic device front stage operation have game application；The fatigue of human brain of user is determined according to the eeg signal Degree；The eye image that user is acquired by the camera obtains the eye fatigue degree of user according to the eye image；It determines It is adapted to the game recommdation information of the game application of the fatigue of human brain degree and the eye fatigue degree；The game is exported to push away Recommend information.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first Signal determines fatigue of human brain degree according to the analysis and processing result of eeg signal；Then electronic device is acquired by camera and is used The eye image at family obtains the eye fatigue degree of user according to image；Finally according to the fatigue of human brain degree and eye fatigue of user The parameter combination of degree recommends the game information of adaptation for user.Comprehensive fatigue of human brain degree and eye fatigue degree accurately determine adaptation The game recommdation information of user's current body state, and the game recommdation information is exported to remind user to adjust body shape in time State avoids user from excessively indulging game itself and body is caused to be lost, and is conducive to improve electronic device in running game application shape The intelligent and accuracy of health monitoring is carried out under state.
In a possible example, described in the determining adaptation fatigue of human brain degree and the eye fatigue degree The game recommdation message context of game application, the instruction in described program are specifically used for executing following operation：Inquire preset institute The game recommdation information aggregate for stating game application obtains the fatigue of human brain degree and the corresponding game recommdation of the eye fatigue degree Information, the game recommdation information aggregate include fatigue strength parameter combination and the game of fatigue of human brain degree and eye fatigue degree composition Correspondence between recommendation information.
In a possible example, the fatigue of human brain degree includes the first fatigue strength section and the second fatigue strength section, First fatigue strength section is used to indicate human brain and is in fatigue state, and second fatigue strength section is used to indicate human brain and is in Not fatigue state；The human eye fatigue strength includes third fatigue strength section and the 4th fatigue strength section, third fatigue strength area Between be used to indicate human eye and be in fatigue state, the 4th fatigue strength section is used to indicate human eye and is in not fatigue state；It is described Game recommdation information aggregate includes following correspondence：
First parameter combination or the second parameter combination and the correspondence between game and rest prompt message is exited, it is described First parameter combination includes being in the fatigue of human brain degree in first fatigue strength section and in third fatigue strength section Human eye fatigue strength, second parameter combination include fatigue of human brain degree in second fatigue strength section and in described the The human eye fatigue strength in three fatigue strength sections；
Third parameter combination is less than the corresponding pass between the game content recommendation information of default difficulty threshold value with game difficulty System, the third parameter combination include first fatigue strength section fatigue of human brain degree and be in the 4th fatigue strength section Human eye fatigue strength；
4th parameter combination is higher than the corresponding pass between the game content recommendation information of default difficulty threshold value with game difficulty System, the third parameter combination include second fatigue strength section fatigue of human brain degree and be in the 4th fatigue strength section Human eye fatigue strength.
In a possible example, in terms of the fatigue of human brain degree that user is determined according to the eeg signal, institute The instruction in program is stated to be specifically used for executing following operation：
Remove in the eeg signal eye electricity, myoelectricity interference, obtain benchmark eeg signal；
The energy value of the energy value of δ waves, the energy value of θ waves, α waves in brain wave is obtained according to the benchmark eeg signal With the energy value of β waves；
According to the energy value of the δ waves, the energy value of the θ waves, the α waves energy value and the β waves energy value Determine fatigue of human brain degree.
In a possible example, in terms of the eye fatigue degree for obtaining user, the instruction in described program is specific For performing the following operations：
Obtain the eye opening duration of user in preset time period；
Obtain the eye-closing period of user in preset time period；
According to the difference between eye opening duration and the eye-closing period, the eye fatigue degree of user is determined.
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 appreciated that , for electronic device in order to realize above-mentioned function, it comprises execute the corresponding hardware configuration of each function and/or software mould 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, and depend on the specific application and design constraint item of technical solution Part.Professional technician specifically can 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 electronic device according to the above method example division of functional unit, for example, can Each functional unit is divided with each function of correspondence, two or more functions can also be integrated in a processing unit In.The form that hardware had both may be used in above-mentioned integrated unit is realized, can also be realized in the form of SFU software functional unit.It needs It is noted that be schematical, only a kind of division of logic function 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.
Fig. 6 is the functional unit composition block diagram of plant control unit 600 involved in the embodiment of the present application.The equipment control Device 600 processed is applied to electronic device, and the electronic device includes brain wave sensor, which includes letter Number collecting unit 601, image acquisition units 602, data processing unit 603 and game recommdation unit 604, wherein
The signal gathering unit 601, the eeg signal for acquiring user；
Described image collecting unit 602, the eye image for acquiring user；
The data processing unit 603, the fatigue of human brain degree for determining user according to the eeg signal；And it uses In the eye fatigue degree for obtaining user according to the eye image；And it is adapted to the fatigue of human brain degree and the eye for determining The game recommdation information of the game application of eyeball fatigue strength；
The game recommdation unit 604, for exporting the game recommdation information.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first Signal determines fatigue of human brain degree according to the analysis and processing result of eeg signal；Then electronic device is acquired by camera and is used The eye image at family obtains the eye fatigue degree of user according to image；Finally according to the fatigue of human brain degree and eye fatigue of user The parameter combination of degree recommends the game information of adaptation for user.Comprehensive fatigue of human brain degree and eye fatigue degree accurately determine adaptation The game recommdation information of user's current body state, and the game recommdation information is exported to remind user to adjust body shape in time State avoids user from excessively indulging game itself and body is caused to be lost, and is conducive to improve electronic device in running game application shape The intelligent and accuracy of health monitoring is carried out under state.
In a possible example, described in the determining adaptation fatigue of human brain degree and the eye fatigue degree The game recommdation message context of game application, the game recommdation unit 604 are specifically used for：
The game recommdation information aggregate for inquiring the preset game application obtains the fatigue of human brain degree and the eyes The corresponding game recommdation information of fatigue strength, the game recommdation information aggregate include that fatigue of human brain degree and eye fatigue degree form Correspondence between fatigue strength parameter combination and game recommdation information.
In a possible example, in terms of the fatigue of human brain degree for determining user according to the eeg signal, The data processing unit 603 is specifically used for：
Remove in the eeg signal eye electricity, myoelectricity interference, obtain benchmark eeg signal；
The energy value of the energy value of δ waves, the energy value of θ waves, α waves in brain wave is obtained according to the benchmark eeg signal With the energy value of β waves；
According to the energy value of the δ waves, the energy value of the θ waves, the α waves energy value and the β waves energy value Determine fatigue of human brain degree.
In a possible example, in terms of the eye fatigue degree for obtaining user, the data processing unit 603 It is specifically used for：
Obtain the eye opening duration of user in preset time period；
Obtain the eye-closing period of user in preset time period；
According to the difference between eye opening duration and the eye-closing period, the eye fatigue degree of user is determined.
The embodiment of the present application also provides a kind of computer storage media, wherein computer storage media storage is for electricity The computer program that subdata exchanges, the computer program make computer execute any as described in above method embodiment Some or all of method step, above computer include mobile terminal.
The embodiment of the present application also provides a kind of computer program product, and above computer program product includes storing calculating The non-transient computer readable storage medium of machine program, above computer program are operable to that computer is made to execute such as above-mentioned side Some or all of either method described in method embodiment step.The computer program product can be a software installation Packet, above computer includes mobile terminal.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed 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, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know It knows, embodiment described in this description belongs to preferred embodiment, involved action and module 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, it may refer to the associated description of other embodiment.
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, for example, said units division, it is only a kind of Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component 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 by some interfaces, the INDIRECT COUPLING or communication connection of device or unit, Can be electrical or other forms.
The above-mentioned unit illustrated as separating component may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme 's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can be stored 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 above method of the application Step.And memory above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory May include：Flash disk, read-only memory (English：Read-Only Memory, referred to as：ROM), random access device (English： Random Access Memory, referred to as：RAM), 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； Meanwhile for those of ordinary skill in the art, according to the thought of the application, can in specific embodiments and applications There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.

Claims (13)

1. a kind of electronic device, which is characterized in that including processor, memory, camera and brain wave sensor, the storage Device, the camera and the brain wave sensor are coupled with the processor, wherein
The brain wave sensor, the eeg signal for acquiring user, the electronic device front stage operation have game application；
The camera, the eye image for acquiring user；
The memory, for storing game recommdation information；
The processor, the fatigue of human brain degree for determining user according to the eeg signal；And for according to the people Eye pattern picture obtains the eye fatigue degree of user；And for determining the institute for being adapted to the fatigue of human brain degree and the eye fatigue degree State the game recommdation information of game application；And for exporting the game recommdation information.
2. electronic device according to claim 1, which is characterized in that be adapted to the fatigue of human brain degree and institute in the determination The game recommdation message context of the game application of eye fatigue degree is stated, the processor is specifically used for：Inquire preset institute The game recommdation information aggregate for stating game application obtains the fatigue of human brain degree and the corresponding game recommdation of the eye fatigue degree Information, the game recommdation information aggregate include fatigue strength parameter combination and the game of fatigue of human brain degree and eye fatigue degree composition Correspondence between recommendation information.
3. electronic device according to claim 2, which is characterized in that the fatigue of human brain degree includes the first fatigue strength section With the second fatigue strength section, first fatigue strength section is used to indicate human brain and is in fatigue state, second fatigue strength area Between be used to indicate human brain and be in not fatigue state；The human eye fatigue strength includes third fatigue strength section and the 4th fatigue strength area Between, third fatigue strength section is used to indicate human eye and is in fatigue state, and the 4th fatigue strength section is used to indicate human eye In not fatigue state；The game recommdation information aggregate includes following correspondence：
First parameter combination or the second parameter combination and the correspondence between game and rest prompt message is exited, described first Parameter combination includes the fatigue of human brain degree in first fatigue strength section and the human eye in third fatigue strength section Fatigue strength, second parameter combination include in second fatigue strength section fatigue of human brain degree and in the third it is tired The human eye fatigue strength in the sections Lao Du；
Third parameter combination and game difficulty are less than the correspondence between the game content recommendation information of default difficulty threshold value, institute State the fatigue of human brain degree that third parameter combination includes first fatigue strength section and the people in the 4th fatigue strength section Eye fatigue；
4th parameter combination and game difficulty are higher than the correspondence between the game content recommendation information of default difficulty threshold value, institute State the fatigue of human brain degree that third parameter combination includes second fatigue strength section and the people in the 4th fatigue strength section Eye fatigue.
4. according to claim 1-3 any one of them electronic devices, which is characterized in that described according to the eeg signal In terms of the fatigue of human brain degree for determining user, the processor is specifically used for：
Remove in the eeg signal eye electricity, myoelectricity interference, obtain benchmark eeg signal；
The energy value and β of the energy value of δ waves, the energy value of θ waves, α waves in brain wave are obtained according to the benchmark eeg signal The energy value of wave；
It is determined according to the energy value of the energy value of the δ waves, the energy value of the θ waves, the energy value of the α waves and the β waves Fatigue of human brain degree.
5. according to claim 1-4 any one of them electronic devices, which is characterized in that in the eye fatigue for obtaining user In terms of degree, the processor is specifically used for：
Obtain the eye opening duration of user in preset time；
Obtain the eye-closing period of user in preset time；
According to the difference between eye opening duration and the eye-closing period, the eye fatigue degree of user is determined.
6. a kind of information processing method, which is characterized in that be applied to electronic device, the electronic device includes brain wave sensor And camera, the method includes：
The eeg signal of user is acquired by the brain wave sensor, the electronic device front stage operation has game application；
The fatigue of human brain degree of user is determined according to the eeg signal；
The eye image that user is acquired by the camera obtains the eye fatigue degree of user according to the eye image；
Determine the game recommdation information for the game application for being adapted to the fatigue of human brain degree and the eye fatigue degree；
Export the game recommdation information.
7. according to the method described in claim 6, it is characterized in that, the determining adaptation fatigue of human brain degree and the eyes The game recommdation information of the game application of fatigue strength, including：
The game recommdation information aggregate for inquiring the preset game application obtains the fatigue of human brain degree and the eye fatigue Corresponding game recommdation information is spent, the game recommdation information aggregate includes the fatigue of fatigue of human brain degree and eye fatigue degree composition Spend the correspondence between parameter combination and game recommdation information.
8. the method according to the description of claim 7 is characterized in that the fatigue of human brain degree includes the first fatigue strength section and the Two fatigue strength sections, first fatigue strength section are used to indicate human brain and are in fatigue state, and second fatigue strength section is used It is in not fatigue state in instruction human brain；The human eye fatigue strength includes third fatigue strength section and the 4th fatigue strength section, institute It states third fatigue strength section and is used to indicate human eye and be in fatigue state, the 4th fatigue strength section is used to indicate human eye and is in not Fatigue state；The game recommdation information aggregate includes following correspondence：
First parameter combination or the second parameter combination and the correspondence between game and rest prompt message is exited, described first Parameter combination includes the fatigue of human brain degree in first fatigue strength section and the human eye in third fatigue strength section Fatigue strength, second parameter combination include in second fatigue strength section fatigue of human brain degree and in the third it is tired The human eye fatigue strength in the sections Lao Du；
Third parameter combination and game difficulty are less than the correspondence between the game content recommendation information of default difficulty threshold value, institute State the fatigue of human brain degree that third parameter combination includes first fatigue strength section and the people in the 4th fatigue strength section Eye fatigue；
4th parameter combination and game difficulty are higher than the correspondence between the game content recommendation information of default difficulty threshold value, institute State the fatigue of human brain degree that third parameter combination includes second fatigue strength section and the people in the 4th fatigue strength section Eye fatigue.
9. according to claim 6-8 any one of them methods, which is characterized in that described determined according to the eeg signal is used The fatigue of human brain degree at family, including：
Remove in the eeg signal eye electricity, myoelectricity interference, obtain benchmark eeg signal；
The energy value and β of the energy value of δ waves, the energy value of θ waves, α waves in brain wave are obtained according to the benchmark eeg signal The energy value of wave；
It is determined according to the energy value of the energy value of the δ waves, the energy value of the θ waves, the energy value of the α waves and the β waves Fatigue of human brain degree.
10. according to claim 6-9 any one of them methods, which is characterized in that the eye fatigue degree for obtaining user, packet It includes：
Obtain the eye opening duration of user in preset time period；
Obtain the eye-closing period of user in preset time period；
According to the difference between eye opening duration and the eye-closing period, the eye fatigue degree of user is determined.
11. a kind of information processing unit, which is characterized in that be applied to electronic device, the electronic device includes brain wave sensing Device, camera, memory and processor, the game recommdation device include signal gathering unit, image acquisition units, at data Manage unit and game recommdation unit；
The signal gathering unit, the eeg signal for acquiring user；
Described image collecting unit, the eye image for acquiring user；
The data processing unit, the fatigue of human brain degree for determining user according to the eeg signal；And it is used for basis The eye image obtains the eye fatigue degree of user；And it is adapted to the fatigue of human brain degree and the eye fatigue for determining The game recommdation information of the game application of degree；
The game recommdation unit, for exporting the game recommdation information.
12. 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 claim 6-10 any one of them methods.
13. a kind of computer readable storage medium, which is characterized in that computer program of the storage for electronic data interchange, In, the computer program makes computer execute such as claim 6-10 any one of them methods.
CN201810141941.5A 2018-02-11 2018-02-11 Information processing method and related product Active CN108310759B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810141941.5A CN108310759B (en) 2018-02-11 2018-02-11 Information processing method and related product

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810141941.5A CN108310759B (en) 2018-02-11 2018-02-11 Information processing method and related product

Publications (2)

Publication Number Publication Date
CN108310759A true CN108310759A (en) 2018-07-24
CN108310759B CN108310759B (en) 2021-04-16

Family

ID=62902892

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810141941.5A Active CN108310759B (en) 2018-02-11 2018-02-11 Information processing method and related product

Country Status (1)

Country Link
CN (1) CN108310759B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108499111A (en) * 2018-03-15 2018-09-07 广东欧珀移动通信有限公司 Game difficulty method of adjustment and Related product
CN109271875A (en) * 2018-08-24 2019-01-25 中国人民解放军火箭军工程大学 A kind of fatigue detection method based on supercilium and eye key point information
CN109697831A (en) * 2019-02-25 2019-04-30 湖北亿咖通科技有限公司 Fatigue driving monitoring method, device and computer readable storage medium
CN109758767A (en) * 2019-02-20 2019-05-17 浙江强脑科技有限公司 Game difficulty method of adjustment, terminal and computer readable storage medium
CN109917916A (en) * 2019-03-05 2019-06-21 浙江强脑科技有限公司 E-book control method, electronic equipment and computer readable storage medium
CN111672129A (en) * 2020-05-18 2020-09-18 苏州思酷数字科技有限公司 Anti-addiction customized game recommendation method and system based on online time identification
CN111968724A (en) * 2020-10-21 2020-11-20 北京妙医佳健康科技集团有限公司 Exercise recommendation method and device
CN114939272A (en) * 2022-06-15 2022-08-26 广州汽车集团股份有限公司 Vehicle-mounted interactive game method and system based on HUD

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007102053A3 (en) * 2005-09-16 2008-03-20 Imotions Emotion Technology Ap System and method for determining human emotion by analyzing eye properties
CN103281959A (en) * 2011-05-20 2013-09-04 松下电器产业株式会社 Visual fatigue-easuring apparatus, method thereof, visual fatigue-measuring system and three-dimensional glasses
CN105426404A (en) * 2015-10-28 2016-03-23 广东欧珀移动通信有限公司 Music information recommendation method and apparatus, and terminal
CN107374652A (en) * 2017-07-20 2017-11-24 京东方科技集团股份有限公司 Quality monitoring method, device and system based on electronic product study

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007102053A3 (en) * 2005-09-16 2008-03-20 Imotions Emotion Technology Ap System and method for determining human emotion by analyzing eye properties
CN103281959A (en) * 2011-05-20 2013-09-04 松下电器产业株式会社 Visual fatigue-easuring apparatus, method thereof, visual fatigue-measuring system and three-dimensional glasses
CN105426404A (en) * 2015-10-28 2016-03-23 广东欧珀移动通信有限公司 Music information recommendation method and apparatus, and terminal
CN107374652A (en) * 2017-07-20 2017-11-24 京东方科技集团股份有限公司 Quality monitoring method, device and system based on electronic product study

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
的话题实小入学: "王者荣耀疲劳时间多久解除", 《HTTPS://M.WENDA.SO.COM/Q/1512033126213932?FROM=SINGLEMESSAGE》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108499111A (en) * 2018-03-15 2018-09-07 广东欧珀移动通信有限公司 Game difficulty method of adjustment and Related product
CN108499111B (en) * 2018-03-15 2022-01-04 Oppo广东移动通信有限公司 Game difficulty adjusting method and related product
CN109271875A (en) * 2018-08-24 2019-01-25 中国人民解放军火箭军工程大学 A kind of fatigue detection method based on supercilium and eye key point information
CN109758767A (en) * 2019-02-20 2019-05-17 浙江强脑科技有限公司 Game difficulty method of adjustment, terminal and computer readable storage medium
CN109697831A (en) * 2019-02-25 2019-04-30 湖北亿咖通科技有限公司 Fatigue driving monitoring method, device and computer readable storage medium
CN109917916A (en) * 2019-03-05 2019-06-21 浙江强脑科技有限公司 E-book control method, electronic equipment and computer readable storage medium
CN111672129A (en) * 2020-05-18 2020-09-18 苏州思酷数字科技有限公司 Anti-addiction customized game recommendation method and system based on online time identification
CN111968724A (en) * 2020-10-21 2020-11-20 北京妙医佳健康科技集团有限公司 Exercise recommendation method and device
CN111968724B (en) * 2020-10-21 2020-12-29 北京妙医佳健康科技集团有限公司 Exercise recommendation method and device
CN114939272A (en) * 2022-06-15 2022-08-26 广州汽车集团股份有限公司 Vehicle-mounted interactive game method and system based on HUD
CN114939272B (en) * 2022-06-15 2023-08-04 广州汽车集团股份有限公司 Vehicle-mounted interactive game method and system based on HUD

Also Published As

Publication number Publication date
CN108310759B (en) 2021-04-16

Similar Documents

Publication Publication Date Title
CN108310759A (en) Information processing method and related product
CN106726030B (en) Brain machine interface system and its application based on Clinical EEG Signals control robot movement
CN112955973B (en) Electronic device for distinguishing mental behavior attributes based on deep neural network
CN109568760B (en) Sleep environment adjusting method and system
Schäck et al. Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals
CN108415764A (en) Electronic device, game background music matching process and Related product
CN111544015B (en) Cognitive power-based control work efficiency analysis method, device and system
GB2420628A (en) Two-part template matching ECG monitor
Kumar et al. Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems
CN111598451B (en) Control work efficiency analysis method, device and system based on task execution capacity
CN108634969B (en) Emotion detection device, emotion detection system, emotion detection method, and storage medium
Moody The physionet/computing in cardiology challenge 2010: Mind the gap
US11406304B2 (en) Systems and methods for physiological sign analysis
CN104808776A (en) Device and method for detecting continuous attaching of head-wearing intelligent device on human body
CN115153463A (en) Training method of sleep state recognition model, and sleep state recognition method and device
CN109961018A (en) Electroencephalogramsignal signal analysis method, system and terminal device
CN110363143A (en) Monitoring method, device and system
CN106096544B (en) Contactless blink and heart rate combined detection system and method based on second-order blind identification
CN108509034A (en) Electronic device, information processing method and related product
CN110267585A (en) Determine the corrected timing that the stimulation of object is supplied to during sleep
Oliveira et al. Coupled hidden Markov model for automatic ECG and PCG segmentation
CN105147249B (en) The wearable or implantable devices evaluation system of one kind and method
CN112370058A (en) Method for identifying and monitoring emotion of user based on mobile terminal
CN116700495A (en) Brain-computer interaction method and equipment based on steady-state visual evoked potential and motor imagery
CN108334200B (en) Electronic equipment control method and related product

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18

Applicant after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd.

Address before: No.18, Wusha Haibin Road, Chang'an Town, Dongguan City, Guangdong Province

Applicant before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd.

GR01 Patent grant
GR01 Patent grant