CN108510308A - A kind of movie theatre screening system and method based on EEG signals feature - Google Patents

A kind of movie theatre screening system and method based on EEG signals feature Download PDF

Info

Publication number
CN108510308A
CN108510308A CN201810159533.2A CN201810159533A CN108510308A CN 108510308 A CN108510308 A CN 108510308A CN 201810159533 A CN201810159533 A CN 201810159533A CN 108510308 A CN108510308 A CN 108510308A
Authority
CN
China
Prior art keywords
module
questionnaire survey
data
movie
movie theatre
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.)
Pending
Application number
CN201810159533.2A
Other languages
Chinese (zh)
Inventor
唐菁敏
周旋
曹伯炀
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.)
Kunming University of Science and Technology
Original Assignee
Kunming University of Science and Technology
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 Kunming University of Science and Technology filed Critical Kunming University of Science and Technology
Priority to CN201810159533.2A priority Critical patent/CN108510308A/en
Publication of CN108510308A publication Critical patent/CN108510308A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0203Market surveys; Market polls
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Dermatology (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Neurosurgery (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The present invention relates to a kind of movie theatre screening system and method based on EEG signals feature.The present invention includes audience feedback module, the holonomic system of questionnaire survey module, database module, integrated information processing module, result display module composition, its flow includes mainly the acquisition module of EEG signals, four part of the preprocessing module of brain electric information, data scrubbing module and data analysis module in audience feedback module, and includes mainly two parts of film pricing information acquisition module and movie contents information acquisition module in questionnaire survey module.The data that audience feedback module and questionnaire survey module obtain then are put into database module to compare and analyze, show that analysis result is shown in equipment by establishing movie theatre screening comprehensive evaluation index by integrated information processing module, to reasonable arrangement movie theatre screening.The present invention has movie theatre screening statistics at low cost, and gathered data is more complete, the accurate feature of the data counted.

Description

A kind of movie theatre screening system and method based on EEG signals feature
Technical field
The present invention relates to a kind of movie theatre screening system and method, especially a kind of movie show based on EEG signals feature Preceding movie theatre screening system and method.
Background technology
The screening system of movie theatre is mostly to use more traditional artificial collection analysis at present, and there is cost of labor mistakes Height acquires excessively sparse sufficiently complete, the factors such as data deficiency accuracy, can not establish effectively perfect data branch Support, easily leads to the film that do not show and occurs very chaotic and unreasonable situation in movie theatre screening, can be produced to the movie theatre investor Raw larger investment risk.
Corresponding economic effect, psychological effects and society's effect can be generated by carrying out reasonable analysis to the screening system of movie theatre Fruit.Specifically, huge social effectiveness can be generated by the one hand referring to a successful film, to which indirect gain removes film More economic benefits other than box office, on the other hand, film can also influence the psychology of society, emotion cognition etc., be come with this Cause support of more people to film, the excitation investor invests shooting New cinema.Traditional movie theatre screening method objectivity, section The property learned and reliability are constantly subjected to query.
With the development of psychological field and neurology field, eye movement, skin electrical effect start to be applied to every field, can Tentatively to obtain corresponding effect by the method directly tested so that final acquired results are more directly and objective.However, this Kind method fails accurately to analyze experimental subjects brain, and carries out analyzing to be only directly acquiring to the information acquired in brain The unique channel of the true idea of experimental subjects.Huge progress is achieved in terms of in the 21st century, brain science, starts to be used extensively In fields such as medical treatment, economy and military affairs, and brain imaging technique also begins to come into the sight of marketing domain, initially as research brain The important means of cognition, emotion processing.
Invention content
It is an object of the invention to overcome the deficiencies of existing technologies, movie theatre before existing movie show can be solved by providing one kind Cost of labor present in screening is excessively high, acquires excessively sparse sufficiently complete, the movie theatre screening side of data deficiency accuracy problem Method, the object of the invention also reside in offer system for carrying out the process, reduce the risk of the movie theatre investor to the greatest extent.
Technical scheme is as follows:
A kind of movie theatre screening system based on EEG signals feature, including audience feedback module, questionnaire survey module, database mould The signal output end of block, integrated information processing module, result display module, the audience feedback module and questionnaire survey module point It is not connect with the signal input part of database module, signal output end and the integrated information processing module of carried database module Signal input part connects, and the output end of the integrated information processing module and the signal input part of result display module connect;
The audience feedback module is used to acquire and analyze the brain electric information that spectators watch movie trailer;
The impression that the questionnaire survey module is used to count spectators for the opinion and movie trailer content of film price;
The database module is for storing data information collected by audience feedback module and questionnaire survey module;
The integrated information processing module is for carrying out data information collected by audience feedback module and questionnaire survey module Analysis;
The result display module includes computer, mobile phone and display screen.
The audience feedback module includes that video playback apparatus, experimental subjects, electroencephalogramsignal signal collection equipment, experimental paradigm are set Meter, brain electric information preprocessing module, data scrubbing module and data analysis module;
The questionnaire survey module includes film pricing information acquisition module and movie contents information acquisition module.
Audience feedback module and questionnaire survey module collection information are simultaneously sent to database module, and database module is again by institute There is information to be sent to integrated information processing module, the comprehensive evaluation index of movie theatre screening established in integrated information processing module, Then data and conclusion that the processing of integrated information processing module obtains are sent to result display module and shown.
The comprehensive evaluation index includes three parts:(1)Audience feedback module section is by data-analyzing machine module from time domain The brain electric information obtained with two aspect of frequency domain, the energy indexes that extraction calculates the two frequency range refer to as the impression of film scene Mark;(2)Questionnaire survey mould film pricing information acquisition module in the block tests about the film ticket that will be shown experimental subjects Valence view and the related statistical analysis for proposing information;(3)Questionnaire survey mould movie contents information acquisition module in the block is to difference Experimental subjects recall the related film scene recorded obtained by scene with deep impression should be counted.
In order to optimize the design system, the design completion of experimental paradigm described in the design is divided into two steps, i.e. experiment material is accurate Standby, experimental data acquisition.
IMEMD methods obtained from the brain electric information preprocessing module is combined as ICA methods and MEMD methods are by EEG Signal carries out blind source separating, then identifies noise therein with fractal dimension, finally uses recursive least square(RLS)To its carry out Adaptive-filtering.
The design is added to data scrubbing module, and the equipment can use adaptive-filtering and weighted average in experimentation Denoising is carried out to collected data.
The design also added data analysis module, it can carry out the information obtained in terms of time domain and frequency domain two Comprehensive analysis.
Beneficial effects of the present invention:The present invention can carry out reasonable distribution before movie show to movie theatre screening;It can also For analyzing the quality that will show film;The present invention can obtain human body EEG signals and questionnaire survey by way of into Row comprehensive analysis is obtained a result, and the interference of subjective factor is avoided.
Description of the drawings
Fig. 1 is movie theatre screening system general diagram.
Fig. 2 is EEG signal wireless collection equipment.
10-20 modular system of the worlds Tu3Shi.
Fig. 4 is the main electrodes label used in experiment.
Specific implementation mode
The present invention is further described in the following with reference to the drawings and specific embodiments.
Embodiment 1:As shown in Figs 1-4, a kind of movie theatre screening system based on EEG signals feature, including audience feedback mould Block, questionnaire survey module, database module, integrated information processing module, result display module, the audience feedback module and are asked The signal output end of volume inquiry module is connect with the signal input part of database module respectively, and the signal of carried database module is defeated Outlet is connect with the signal input part of integrated information processing module, and output end and the result of the integrated information processing module are shown The signal input part of module connects.
Wherein audience feedback module includes video playback apparatus module, experimental subjects(Man and female), eeg signal acquisition sets Standby module, experimental paradigm design, brain electric information preprocessing module, data scrubbing module and data analysis module.Its midbrain telecommunications Number collecting device module uses 32 channel crosslinking electrode caps, signal acquisition amplifier and the connector of rich farsighted Kanggong department, depending on Frequency playback equipment module, brain electric information preprocessing module, data scrubbing module and data analysis module are all made of common computer, Button is operated as required by participant, and correspondence markings can be left in collected EEG signals by lower button.Specific implementation Process is as follows:
Step 1:The Preparatory work of experiment stage
Video content of the trailer for the film that this experiment will be shown firstly the need of preparation as required broadcasting, trailer time It is unsuitable too short or long, it is maintained at as possible within ten minutes, and the larger content of controversial should not occur, avoids experimental subjects feelings Thread generates larger fluctuation, and should ensure that experimental subjects from not in contact with the movie trailer related content excessively.Meanwhile it being broadcast in trailer Before putting, it is desirable that experimental subjects keeps relaxation state of sitting quietly, and the time was best with three minutes, so that experimental subjects can keep best shape State enters experiment as early as possible, while can be conveniently operated personal observations' experimental subjects EEG signals state, it is ensured that brain wave is stablized.When After experimental subjects is ready, while operating personnel also confirm that brain wave is normal, opens trailer video and starts countdown 10s, And brain wave acquisition EM equipment module is opened, it starts to work.
Step 2:Original eeg signal acquisition
The men and women in 50 all ages and classes stages without any nervous system medical history of this experimental selection as experimental subjects, including Each 25 of men and women, and it is divided into 5 different age levels, each 5 of respectively 10 ~ 20 years old men and women, each 5 of 20 ~ 30 years old men and women, 30 ~ 40 years old each 5 of men and women, each 5 of 40 ~ 50 years old men and women, each 5 of 50 ~ 60 years old men and women amount to experimental subjects 50, participate in batches Experiment.In experimentation, different men and women's experimental subjects in age-grade stage are sitting on the chair of relative comfort, are concentrated on The movie trailer content that video playback apparatus module plays is watched, and requires experimental subjects from not in contact with the advance notice for crossing broadcasting Piece related content avoids repetitive memory from generating subjective impact.Electroencephalogramsignal signal collection equipment mould brain wave acquisition equipment in the block is obtaining During taking experimental subjects brain electric information, sample rate should be maintained at 256, bandpass filtering should be maintained at 0.5 ~ 50It Between, meanwhile, electrode impedance should be less than 5
Step 3:EEG signals pre-process
1)Using the wireless brain wave acquisition equipment in 32 channels of rich farsighted Kanggong department as portable brain electric installation.The equipment includes lead Electrode cap, signal acquisition amplifier and connector.Wherein, connector is for connection to electrode cap and signal acquisition amplifier.
2)Subject's scalp EEG signals are recorded by EEG, the allocation method of electrode refers to 10-20 standards, specific side Formula is as shown in Figure 3, wherein for the interference for reducing between electrode and scalp, resistance should be less than 5k Ω in experimentation.
3)The average value of N number of electrode signal is recorded by CAR filters to evaluate the electricity of each electrode of each moment again Position.Its normal form is as follows.
4)During removing eye artefact, IMEMD methods are divided into two steps, first, are pre-processed to mixed signal to optimize Algorithm is extracted eye electricity artefact, and member-retaining portion brain electric information from EEG signals by MEMD, then passed through again completely ICA isolates eye electricity artefact from EEG signals, calculates the fourth order cumulant of isolated component, and removal eye electricity extracts isolated component.
Step 4:Data scrubbing module
Adaptive-filtering is carried out to collected data using the equipment during the experiment and weighted average carrys out denoising.
Step 5:Data analysis module
Comprehensive analysis is carried out to the brain electric information obtained in terms of time domain and frequency domain two using data-analyzing machine module in experiment.
Step 6:Film scene impression Index Establishment
By understanding the characteristic of the physiological mechanism of EEG, especially human brain EEG during handling Memory Process and attention, It handling in Memory Process, there is synchronia in theta frequency ranges, and in processing attention process, alpha frequency ranges, which will appear, to desynchronize Phenomenon.Therefore, it is based on principles above, the energy indexes that the present invention is extracted both calculating frequency range refer to as the impression of film scene Mark.
Wherein questionnaire survey module includes film pricing information acquisition module, movie contents information acquisition module.It is specific real It is as follows to apply process:
Step 1:Film pricing information acquires
After completing movie trailer and playing, the different sexes and the experimental subjects in all ages and classes stage of participating in experiment remove electrode After cap, operating personnel carry out questionnaire survey acquisition different experiments object for the film fare that will show to experimental subjects immediately View and related proposal information, and recorded.
Step 2:Movie contents information collection
After the broadcasting for completing movie trailer, the different sexes and the experimental subjects in all ages and classes stage of participating in experiment remove electricity After polar cap, operating personnel carry out questionnaire survey to experimental subjects immediately, during questionnaire, allow different experimental subjects by its institute Associated scenario is described in the movie trailer remembered, suitably puts question to experimental subjects, to understand more details, to it Described film scene carries out more accurate positioning, and different experiments object is recalled to the related film scene gone out and is remembered Record, is labeled as scene with deep impression, which will bring into subsequent data library module and by audience feedback module The conclusion that middle brain electricity analytical obtains compares and analyzes.
Operating personnel are by collected film pricing information and movie contents information imports or typing questionnaire survey module, ask Volume inquiry module transmits these information to database module, while the information of audience feedback module has been also sent to database mould All information are sent to integrated information processing module by block, database module, and movie theatre row is established in integrated information processing module Piece comprehensive evaluation index:First, audience feedback module section is obtained by data-analyzing machine module in terms of time domain and frequency domain two Brain electric information, i.e., in handle Memory Process, theta frequency ranges synchronia and handling attention process, alpha frequency ranges Synchronia carries out statistics comparison, and extraction calculates impression index of the energy indexes of the two frequency range as film scene, works as theta When the frequency range frequency of occurrences is higher and the alpha frequency range frequencies of occurrences are less, show memory and attention of the substance film to spectators at this time Power has a humidification, and side reflects that played substance film extremely attracts spectators, and should give priority in arranging for screening, and should ensure that compared with High screening rate, vice versa.Secondly, electricity is completed to questionnaire survey mould film pricing information acquisition module experimental subjects in the block After the viewing of shadow trailer, different experiments object carries out statistical for the film fare view that will be shown and related proposal information Analysis, when spectators suggest that a certain admission fee section occupies 50% or more of all suggestion admission fee sections, you can appraise and decide ticket to the film Valence meets customer expected price of the spectators for film admission fee with this, preferably controls the fund input of movie theatre.Finally, to questionnaire tune Look into mould movie contents information acquisition module different experiments object in the block recall the related film scene recorded obtained by print It, can be generally through impression when the deep scene of viewer impression occupies movie trailer content 50% as deep scene should be counted Deep scene delineations go out trailer main contents, that is, reflect that played substance film extremely attracts spectators, should the row of giving priority in arranging for Piece, and should ensure that higher screening rate.Data and conclusion that the processing of integrated information processing module obtains are sent to result and shown Module is shown.The result display module includes computer, mobile phone and display screen.Last movie theatre screening module, refer to by Audience feedback module is matched with the information that questionnaire survey module obtains, and is obtained by integrated information processing module analyzing processing The conclusion shown allows movie theatre reasonable distribution to carry out screening with this.
The above is only a preferred embodiment of the present invention, and not limitation of the present invention.Those skilled in the art Member is when understanding, to various combinations, modification or equivalent replacement that technical scheme of the present invention carries out, without departure from the technology of the present invention side The spirit and scope of case should all cover in scope of the presently claimed invention.

Claims (4)

1. a kind of movie theatre screening system based on EEG signals feature, it is characterised in that:Including audience feedback module, questionnaire survey Module, database module, integrated information processing module, result display module, the audience feedback module and questionnaire survey module Signal output end connect respectively with the signal input part of database module, the signal output end and synthesis of carried database module The signal input part of message processing module connects, the signal of the output end and result display module of the integrated information processing module Input terminal connects;
The audience feedback module is used to acquire and analyze the brain electric information that spectators watch movie trailer;
The impression that the questionnaire survey module is used to count spectators for the opinion and movie trailer content of film price;
The database module is for storing data information collected by audience feedback module and questionnaire survey module;
The integrated information processing module is for carrying out data information collected by audience feedback module and questionnaire survey module Analysis.
2. the movie theatre screening system according to claim 1 based on EEG signals feature, it is characterised in that:The spectators are anti- Feedback module includes video playback apparatus, experimental subjects, electroencephalogramsignal signal collection equipment, experimental paradigm design, brain electric information pretreatment Module, data scrubbing module and data analysis module;
The questionnaire survey module includes film pricing information acquisition module and movie contents information acquisition module.
3. a kind of movie theatre screening method based on EEG signals feature, it is characterised in that:Audience feedback module and questionnaire survey mould Block collects information and is sent to database module, and all information are sent to integrated information processing module by database module again, The comprehensive evaluation index of movie theatre screening is established in integrated information processing module, then obtains the processing of integrated information processing module Data and conclusion are sent to result display module and show.
4. the movie theatre screening method according to claim 3 based on EEG signals feature, it is characterised in that:The synthesis is commented Valence index includes three parts:(1)Audience feedback module section is obtained by data-analyzing machine module in terms of time domain and frequency domain two Brain electric information, extraction both calculates impression index of the energy indexes as film scene of frequency range;(2)In questionnaire survey module Film pricing information acquisition module experimental subjects is tested about the film fare view that will show and related proposes information Statistical analysis;(3)Questionnaire survey mould movie contents information acquisition module in the block recalls the correlation to different experiments object Film scene recorded obtained by scene with deep impression should be counted.
CN201810159533.2A 2018-02-26 2018-02-26 A kind of movie theatre screening system and method based on EEG signals feature Pending CN108510308A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810159533.2A CN108510308A (en) 2018-02-26 2018-02-26 A kind of movie theatre screening system and method based on EEG signals feature

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810159533.2A CN108510308A (en) 2018-02-26 2018-02-26 A kind of movie theatre screening system and method based on EEG signals feature

Publications (1)

Publication Number Publication Date
CN108510308A true CN108510308A (en) 2018-09-07

Family

ID=63375742

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810159533.2A Pending CN108510308A (en) 2018-02-26 2018-02-26 A kind of movie theatre screening system and method based on EEG signals feature

Country Status (1)

Country Link
CN (1) CN108510308A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109978407A (en) * 2019-04-08 2019-07-05 中影环球(北京)科技有限公司 A kind of system and method that film waiting is adjusted according to movie theatre stream of people feature dynamic
CN111008610A (en) * 2019-12-16 2020-04-14 哈尔滨工业大学 Information-related brain potential induction experimental method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103815902A (en) * 2013-11-22 2014-05-28 刘志勇 Classroom teaching evaluation system and method based on EEG frequency-domain feature indexing algorithm
CN104361356A (en) * 2014-12-08 2015-02-18 清华大学 Movie audience experience assessing method based on human-computer interaction
CN105245970A (en) * 2015-10-10 2016-01-13 无锡康斯特科技有限公司 Cinema information and film satisfaction survey system based on wireless communication
CN106776528A (en) * 2015-11-19 2017-05-31 中国移动通信集团公司 A kind of information processing method and device
CN107220599A (en) * 2017-05-16 2017-09-29 北京信息科技大学 Image quality evaluating method based on EEG signal
CN107423352A (en) * 2017-05-25 2017-12-01 杭州回车电子科技有限公司 Music recommends method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103815902A (en) * 2013-11-22 2014-05-28 刘志勇 Classroom teaching evaluation system and method based on EEG frequency-domain feature indexing algorithm
CN104361356A (en) * 2014-12-08 2015-02-18 清华大学 Movie audience experience assessing method based on human-computer interaction
CN105245970A (en) * 2015-10-10 2016-01-13 无锡康斯特科技有限公司 Cinema information and film satisfaction survey system based on wireless communication
CN106776528A (en) * 2015-11-19 2017-05-31 中国移动通信集团公司 A kind of information processing method and device
CN107220599A (en) * 2017-05-16 2017-09-29 北京信息科技大学 Image quality evaluating method based on EEG signal
CN107423352A (en) * 2017-05-25 2017-12-01 杭州回车电子科技有限公司 Music recommends method and system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109978407A (en) * 2019-04-08 2019-07-05 中影环球(北京)科技有限公司 A kind of system and method that film waiting is adjusted according to movie theatre stream of people feature dynamic
CN111008610A (en) * 2019-12-16 2020-04-14 哈尔滨工业大学 Information-related brain potential induction experimental method
CN111008610B (en) * 2019-12-16 2024-03-22 哈尔滨工业大学 Information-related brain potential evoked experiment method

Similar Documents

Publication Publication Date Title
CN110765920B (en) Motor imagery classification method based on convolutional neural network
CN108236464B (en) Feature extraction method based on electroencephalogram signals and detection extraction system thereof
Yang et al. Automatic ocular artifacts removal in EEG using deep learning
CN107080546B (en) Electroencephalogram-based emotion perception and stimulus sample selection method for environmental psychology of teenagers
CN112932502B (en) Electroencephalogram emotion recognition method combining mutual information channel selection and hybrid neural network
Vinciarelli et al. Canal9: A database of political debates for analysis of social interactions
CN108324292B (en) Indoor visual environment satisfaction degree analysis method based on electroencephalogram signals
CN106569604B (en) Audiovisual bimodal semantic matches and semantic mismatch collaboration stimulation brain-machine interface method
Soleymani et al. Affective ranking of movie scenes using physiological signals and content analysis
CN104361356B (en) A kind of film audient experience evaluation method based on man-machine interaction
Kroupi et al. EEG correlates during video quality perception
CN110353702A (en) A kind of emotion identification method and system based on shallow-layer convolutional neural networks
Piciucco et al. Steady-state visual evoked potentials for EEG-based biometric identification
CN110169770A (en) The fine granularity visualization system and method for mood brain electricity
CN103412646A (en) Emotional music recommendation method based on brain-computer interaction
CN108510308A (en) A kind of movie theatre screening system and method based on EEG signals feature
WO2019141017A1 (en) Human sensory data measurement system and method
CN109805944B (en) Children's ability analytic system that shares feelings
CN109002531A (en) A kind of video display recommender system and video display recommended method based on eeg data analysis
CN112528834B (en) Electroencephalogram signal cross-test classification method of subband target alignment co-space mode
CN111311070A (en) Product design scheme decision method combining electroencephalogram and eye movement and combining user similarity
CN111466931A (en) Emotion recognition method based on EEG and food picture data set
CN108958486A (en) Mood brain machine interface system based on recognition of face brain electricity N170 ingredient
Casanova et al. Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021.
CN110074779A (en) A kind of EEG signal identification method and device

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20180907

RJ01 Rejection of invention patent application after publication