CN106620990A - Method and device for monitoring mood - Google Patents
Method and device for monitoring mood Download PDFInfo
- Publication number
- CN106620990A CN106620990A CN201611061380.5A CN201611061380A CN106620990A CN 106620990 A CN106620990 A CN 106620990A CN 201611061380 A CN201611061380 A CN 201611061380A CN 106620990 A CN106620990 A CN 106620990A
- Authority
- CN
- China
- Prior art keywords
- current
- brain wave
- mood
- eeg signal
- virtual reality
- 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
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- 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
-
- 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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0044—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense
- A61M2021/005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense images, e.g. video
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Animal Behavior & Ethology (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Psychiatry (AREA)
- Biophysics (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Pathology (AREA)
- Psychology (AREA)
- Anesthesiology (AREA)
- Pain & Pain Management (AREA)
- Child & Adolescent Psychology (AREA)
- Physiology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Acoustics & Sound (AREA)
- Artificial Intelligence (AREA)
- Hematology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Developmental Disabilities (AREA)
- Educational Technology (AREA)
- Hospice & Palliative Care (AREA)
- Social Psychology (AREA)
- User Interface Of Digital Computer (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Signal Processing (AREA)
Abstract
The invention discloses a method and a device for monitoring moods. The method for monitoring moods comprises the steps that a signal for the current brain wave of a user is obtained; based on the preset correspondence of the information on the brain wave and the status of the mood, a state of the target mood corresponding to the signal of the current brain wave is determined; the currently appeared virtual reality scene is monitored based on the status of the target mood. By the above means, the currently appeared virtual reality scenes can be automatically adjusted, and user moods are effectively adjusted on a real time basis through the virtual reality scenes.
Description
Technical field
The invention belongs to the communications field, more particularly to a kind of method and its device for adjusting mood.
Background technology
As rhythm of life is constantly accelerated, the psychological pressure that people face is increasing, the easy shadow of increase of psychological pressure
The emotional state of people is rung, the emotional state for making people rises and falls indefinite, and lather easily occurs or spirit is excited etc.
Equal difference mood.And mood fluctuating is excessive or prolonged fluctuation is highly detrimental to the physical and mental health of people, serious meeting causes body
The heart is damaged, the health problem such as sleep quality decline.
With electronic communication continuous development and people the attention degree of mental health is constantly strengthened, by prison
The mood for surveying user is come and adjusts the technology of user emotion to have been used up every field.
In prior art, can be by the virtual reality of virtual reality (Virtual Reality, VR) device build/presentation
Scene adjusts user emotion.
When user needs to adjust mood, one virtual three-dimensional environment of VR device builds, so that user observes and explores,
And user perspective information, positional information etc. are caught, so as to rebuild virtual reality scenario according to the information for capturing, make user
Obtain impression on the spot in person.
This method for adjusting mood, can block user's vision, the sense of hearing, and the impression of people is taken away from the scene, this to immerse
Formula, pass through formula and experience remission for the psychological problems crowd such as anxiety, depression, treat the audio frequency and video scheme of remote ultra-traditional.
However, this method for adjusting mood, is to block user's vision, the sense of hearing by converting virtual reality scenario, by people
Impression take away from the scene, it is impossible to effectively adjusted for certain mood of user.
The content of the invention
The present invention provides a kind of method and its device for adjusting mood, is capable of the virtual reality field of adjust automatically currently presentation
Scape, by virtual reality scenario user emotion is effectively adjusted in real time.
To solve the above problems, first aspect present invention provides a kind of method for adjusting mood, and methods described includes：
Obtain the current eeg signal of user；
According to brain wave information and the default corresponding relation of emotional state, determine that the current eeg signal is corresponding
Target emotion state；
According to the current virtual reality scenario for presenting of target emotion state adjustment.
To solve the above problems, second aspect present invention provides a kind of device for adjusting mood, and described device includes：
Acquisition module, the eeg signal current for obtaining user；
Determining module, for according to the default corresponding relation of brain wave information and emotional state, determining the current brain
The corresponding target emotion state of electric wave signal；
Mood regulation module, for according to the current virtual reality scenario for presenting of target emotion state adjustment.
Such scheme, the device for adjusting mood obtains the current eeg signal of user；According to brain wave information and mood
The default corresponding relation of state, it is determined that the corresponding target emotion state of current eeg signal；Adjusted according to target emotion state
The virtual reality scenario of whole current presentation.Because the device for adjusting mood can obtain the brain wave information of user, and according to brain
The corresponding emotional state of wave information, for the current current virtual reality picture for presenting of emotional state adjustment such that it is able to
User emotion is adjusted effectively in real time.
Description of the drawings
Fig. 1 is the flow chart of the embodiment of method one that the present invention adjusts mood；
Fig. 2 is the flow chart of another embodiment of method that the present invention adjusts mood；
Fig. 3 is the structural representation of the embodiment of device one that the present invention adjusts mood；
Fig. 4 is the structural representation of another embodiment of device that the present invention adjusts mood.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, and
It is not used in the restriction present invention.
Fig. 1 is referred to, Fig. 1 is the flow chart of the embodiment of method one that the present invention adjusts mood.Execution master in this example
Body is virtual reality (Virtual Reality, VR) equipment, and virtual reality device can be virtual reality glasses, but not limit
In this, can also be that other can directly or indirectly obtain the VR equipment of eeg signal, be not limited herein.In the present embodiment
The method of regulation mood comprise the following steps：
S101：Obtain the current eeg signal of user.
VR equipment can monitor the current eeg signal of user by built-in sensors, it is also possible to receive other equipment prison
The current eeg signal for measuring.
It is understood that the current eeg signal of user can be obtain in real time, or at preset timed intervals between
Every being obtained, it is not limited herein.
S102：According to brain wave information and the default corresponding relation of emotional state, the current eeg signal is determined
Corresponding target emotion state.
VR equipment obtains the default corresponding relation of brain wave information and emotional state from database, and is believed according to brain wave
The default corresponding relation of breath and emotional state, it is determined that the corresponding target emotion state of current eeg signal.
Wherein, the default corresponding relation of brain wave information and emotional state can be stored in local data base, or
Network data base is stored in, is not limited herein.
Emotional state can include anxiety, worry, fear, fatigue, indignation, irritability, happiness etc. wherein one or more
Any combination, but this is not limited to, other emotional states are may also include, specifically can according to actual needs be increased or be deleted,
It is not limited herein.
S103：According to the current virtual reality scenario for presenting of target emotion state adjustment.
VR equipment is according to the target emotion state adjustment VR equipment visual angle, the depth of field for determining or changes the behaviour such as virtual reality picture
Make, to adjust the virtual reality scenario of current presentation, so as to the virtual reality scenario for passing through current presentation reconciles user emotion.
For example, when target emotion state is tense situation, virtual reality of the VR equipment in the intense strain that is now able to releive
Scene, for example, display allows people to feel the virtual reality scenario that body and mind loosens.
When target emotion state is Anxiety states, virtual reality scenario of the VR equipment in the worried mood that is now able to releive.
VR equipment execution step S101 capable of circulation～S103, till confirming that the current emotional state of user is normal.
Such scheme, VR equipment obtains the current eeg signal of user；It is pre- with emotional state according to brain wave information
If corresponding relation, it is determined that the corresponding target emotion state of current eeg signal；It is in currently according to the adjustment of target emotion state
Existing virtual reality scenario.Because VR equipment can obtain the brain wave information of user, and according to the corresponding feelings of brain wave information
Not-ready status, for the current current virtual reality picture for presenting of emotional state adjustment, so as to pass through the virtual existing of current presentation
Real picture reconciles user emotion, can effectively in real time adjust user emotion.
Fig. 2 is referred to, Fig. 2 is the flow chart of another embodiment of method that the present invention adjusts mood.Execution in this example
Main body is virtual reality (Virtual Reality, VR) equipment, and virtual reality device can be virtual reality glasses, but not
It is limited to this, can also be that other can directly or indirectly obtain the VR equipment of eeg signal, is not limited herein.The present embodiment
In the method for regulation mood comprise the following steps：
S201：Obtain the corresponding brain wave information of various emotional states.
VR equipment can collect reaction of the user for different stimulated thing, to obtain different emotional states under brain wave letter
Number, and brain wave information is extracted from the eeg signal for obtaining.
S202：The default corresponding relation of the brain wave information and emotional state is set up, and stores the default correspondence and closed
System.
VR equipment can be modeled analysis to the brain wave information for obtaining, to obtain the pre- of brain wave information emotional state
If corresponding relation.
For example, VR equipment is analyzed by the characteristic information of the eeg signal under the different emotional states to collecting,
The corresponding emotional state information of the brain wave characteristic information is obtained, characteristic model is set up by certain algorithm for pattern recognition,
Characteristic model refers to the corresponding model of emotional state information and brain wave characteristic information.
Wherein, algorithm for pattern recognition include but is not limited to analysis of neural network (Artificial Neural Network,
ANN), SVMs (Support Vector Machine, SVM), linear regression, logistic regression (LDAs) and similar poly-
Class etc..
Specifically, the method that is analyzed of characteristic information of the brain wave information using this feature model to extracting, can be with
Using the machine-learning process for having supervision, that is, rule-based model analysis, need to collect certain known brain electricity in advance
The characteristic information of ripple, for example, then the in tension brain wave information of 100 people of collection extract feature, enters row mode
Matching.
The method being analyzed using the characteristic information of brain wave information of this feature model to extracting, it would however also be possible to employ phase
Like cluster.Similar degree of correlation judgement etc. belongs to unsupervised machine-learning process, is not specified in advance and is classified, this kind of algorithm
Automatic decision will be carried out based on the similarity of E.E.G state, when enough quantity brain wave signal features in system, being capable of basis
Rule of similarity extracts the high brain of registration, accelerates brain wave identification.
It is understood that above algorithm for pattern recognition can be used alone, it is also possible at the same using or successively using with
Plus the recognition speed and recognition accuracy of strong algorithms.By these algorithms, the affective state information and brain wave information of people are set up
Corresponding model so that eeg signal can be converted into the mood of the mankind by VR equipment after the eeg signal for getting people
The information outputs such as state.
The principle of various algorithm for pattern recognitions is all to try to improve the classification accuracy rate of known state eeg signal, with energy
Enough apply mechanically model carries out classification judgement to the eeg signal of user, and above algorithm for pattern recognition has adaptive ability, can be with
Constantly update, with the increase of user's eeg signal and emotional state corresponding rate, recognition efficiency also can increase.
S203：Obtain the current eeg signal of user.
VR equipment can monitor the current eeg signal of user by built-in sensors, it is also possible to receive other equipment prison
The current eeg signal for measuring.Wherein, VR equipment to singly leading and can lead the corresponding eeg signal of signal extraction more.
It is understood that the current eeg signal of user can be obtain in real time, or at preset timed intervals between
Every being obtained, it is not limited herein.
S204：According to brain wave information and the default corresponding relation of emotional state, the current eeg signal is determined
Corresponding target emotion state.
VR equipment obtains the default corresponding relation of brain wave information and emotional state from database, and is believed according to brain wave
The default corresponding relation of breath and emotional state, it is determined that the corresponding target emotion state of current eeg signal.
Wherein, the default corresponding relation of brain wave information and emotional state can be stored in local data base, or
Network data base is stored in, is not limited herein.
Emotional state can include anxiety, worry, fear, fatigue, indignation, irritability, happiness etc. wherein one or more
Any combination, but this is not limited to, other emotional states are may also include, specifically can according to actual needs be increased or be deleted,
It is not limited herein.
Alternatively, step S204 may comprise steps of：
a：The current eeg signal is pre-processed.
VR equipment is pre-processed to current eeg signal, is removed the clutter in current eeg signal and is done
Disturb, stablize relatively and clear pure eeg signal with being obtained.
Specifically, preprocess method can be carried out to current eeg signal using following methods：Weight in time domain flat
Equal method, to remove random disturbances, abnormity point；Principal component analysis (principal components analysis, PCA), to put
The principal character information of big main eeg signal, filters interference；Low-pass/high-pass/bandpass filtering, to amplify a certain independent frequency range
Eeg signal, filters off irrelevant portions；Power frequency (50/60HZ) wave trap method, to remove stronger power frequency component interference；Independent element
Analysis (Independent Component Analysis, ICA), to extract each isolated component of eeg signal, is similar to
PCA but high precision, it is computationally intensive.
b：Extract the corresponding characteristic information of the pretreated current eeg signal.
VR equipment extracts the corresponding characteristic information of pretreated current eeg signal.Wherein, VR equipment can be to list
Lead and lead more the characteristic information of the corresponding brain wave of signal extraction.
Specifically, time-domain signal can be converted to frequency-region signal by VR equipment by Fourier transformation, for brain wave
The analysis of energy feature；Can also be realized and Fourier transformation identical function by wavelet transformation, but the low frequency of wavelet transformation
Region computational accuracy is higher than Fourier transformation, can be used to extract fine characteristics of low-frequency；Hilbert transform can also be passed through
Obtain the variation characteristic of eeg signal；Can also be empty by common space pattern (Common Spatial Pattern, CSP)
Between the interval difference of filter and amplification difference eeg signal, realize the identification and classification of the nuance to eeg signal.
VR equipment extracts the characteristic information of brain wave, the brain wave by feature extraction from stable eeg signal
Characteristic information carry specific emotional state information, can be identified for that out corresponding emotional state.
c：According to brain wave information and the default corresponding relation of emotional state, the corresponding target feelings of the characteristic information are determined
Not-ready status.
VR equipment obtains brain wave information default right with emotional state according to the characteristic model pre-build in database
Should be related to, and the corresponding target emotion state of the characteristic information of brain wave is determined according to the corresponding relation.
S205：Adjusting parameter is determined according to the target emotion state.
VR equipment determines the adjusting parameter of virtual reality device according to the target emotion state for determining, can pass through adjustment
The virtual reality scenario that parameter adjustment is currently presented.
Adjusting parameter can for visual angle what/or the information such as the depth of field, but be not limited to this, can also be other specification, herein
It is not limited.
VR equipment, can be with execution step S206 or S207 it is determined that after adjusting parameter.
S206：The virtual reality scenario of the current presentation is adjusted according to the adjusting parameter.
The virtual reality scenario that VR equipment is currently presented according to adjusting parameter adjustment, to reconcile user emotion.
Specifically, VR equipment can adjust visual angle, the depth of field or change the operation such as virtual reality picture, to adjust current presentation
Virtual reality scenario, so as to the virtual reality scenario for passing through current presentation reconciles user emotion.
For example, when target emotion state is tense situation, virtual reality of the VR equipment in the intense strain that is now able to releive
Scene, for example, display allows people to feel the virtual reality scenario that body and mind loosens.
When target emotion state is Anxiety states, virtual reality scenario of the VR equipment in the worried mood that is now able to releive.
S207：The adjusting parameter is sent to control terminal, wherein, the adjusting parameter assist said user adjusts feelings
Thread.
VR equipment sends the adjusting parameter of determination to the control terminal that communication connection is set up with VR, so that support staff's root
The adjusting parameter received according to control terminal controls the current virtual reality scenario for presenting of VR equipment adjustment, or using other means
Auxiliary adjustment user emotion；Or cause control terminal directly to control the current virtual reality scenario for presenting of VR equipment adjustment, from
And the virtual reality scenario for passing through current presentation reconciles user emotion.
Wherein, adjusting parameter includes the current emotional state information of user.When support staff gets the current feelings of user
During not-ready status information, play carries out auxiliary adjustment mood, or even crucial moment with the music of emotional state information match, for example
User (mood regulation person) in negative emotions cannot extricate oneself when, current office can be controlled using timely correct processing mode
Face.
VR equipment execution step S203 capable of circulation～S206, S207, until the current emotional state of confirmation user is normally
Only.
Such scheme, VR equipment obtains the current eeg signal of user；It is pre- with emotional state according to brain wave information
If corresponding relation, it is determined that the corresponding target emotion state of current eeg signal；It is in currently according to the adjustment of target emotion state
Existing virtual reality scenario.Because VR equipment can obtain the brain wave information of user, and according to the corresponding feelings of brain wave information
Not-ready status, for the current current virtual reality picture for presenting of emotional state adjustment, so as to pass through the virtual existing of current presentation
Real picture reconciles user emotion such that it is able to adjust user emotion effectively in real time.
Because VR equipment without the need for user on the premise of limb motion is carried out, can be in currently according to emotional state adjust automatically
Existing virtual reality scenario, more accurately in being now able to improve the virtual reality scenario of user emotion can prevent user from cannot control
Make self and send the situation of false command to VR equipment.
In addition, auxiliary user adjusts the support staff of mood can also to need to adjust the use of mood by adjusting parameter auxiliary
Family adjust mood, can monitor in real time mood regulation process, prevent user from accident occurring because losing one's temper.
Fig. 3 is referred to, Fig. 3 is the structural representation of the embodiment of device one that the present invention adjusts mood.Adjust the dress of mood
It can be virtual reality (Virtual Reality, VR) equipment to put.Adjusting each module included by the device of mood is used to perform
Each step in the corresponding embodiments of Fig. 1, specifically refers to the associated description in the corresponding embodiments of Fig. 1 and Fig. 1, herein not
Repeat.The device of the regulation mood of the present embodiment includes acquisition module 310, determining module 320 and mood regulation module 330.
Acquisition module 310 is used to obtain the current eeg signal of user.Acquisition module 310 is by current eeg signal
Send to determining module 320.
Determining module 320 be used for receive acquisition module 310 transmission current eeg signal, according to brain wave information with
The default corresponding relation of emotional state, determines the corresponding target emotion state of the current eeg signal.Determining module 320
The emotional state information of determination is sent to mood regulation module 330.
Mood regulation module 330 is used to receive the emotional state information of the transmission of determining module 320, according to the target emotion
The current virtual reality scenario for presenting of state adjustment.
Such scheme, the device for adjusting mood obtains the current eeg signal of user；According to brain wave information and mood
The default corresponding relation of state, it is determined that the corresponding target emotion state of current eeg signal；Adjusted according to target emotion state
The virtual reality scenario of whole current presentation.Because the device for adjusting mood can obtain the brain wave information of user, and according to brain
The corresponding emotional state of wave information, for the current current virtual reality picture for presenting of emotional state adjustment, so as to pass through
The current virtual reality picture for presenting reconciles user emotion such that it is able to adjust user emotion effectively in real time.
Fig. 4 is referred to, Fig. 4 is the structural representation of another embodiment of device that the present invention adjusts mood.Adjust mood
Device can be virtual reality (Virtual Reality, VR) equipment.Adjusting each module included by the device of mood is used to hold
Each step in the corresponding embodiments of row Fig. 2, specifically refers to the associated description in the corresponding embodiments of Fig. 2 and Fig. 2, herein
Do not repeat.The device of the regulation mood of the present embodiment includes that setting up module 410, acquisition module 420, determining module 430, mood adjusts
Section module 440 and sending module 450.
Set up module 410 and obtain the corresponding brain wave information of various emotional states；Set up the brain wave information with it is described
The default corresponding relation of emotional state, and store the default corresponding relation.Module 410 is set up by brain wave information and mood shape
The default corresponding relation of state sends to determining module 430.
Acquisition module 420 is used to obtain the current eeg signal of user.Acquisition module 420 is by current eeg signal
Send to determining module 430.
Determining module 430 be used for receive acquisition module 420 transmission current eeg signal, according to brain wave information with
The default corresponding relation of emotional state, determines the corresponding target emotion state of the current eeg signal.
Optionally it is determined that module 430 to the current eeg signal specifically for pre-processing；Extract pretreatment
The described current corresponding characteristic information of eeg signal afterwards；Closed with the default corresponding of emotional state according to brain wave information
System, determines the corresponding target emotion state of the characteristic information.
Determining module 430 sends the emotional state information of determination to mood regulation module 440.
Mood regulation module 440 is used to receive the emotional state information of the transmission of determining module 430, according to the target emotion
The current virtual reality scenario for presenting of state adjustment.
Alternatively, mood regulation module 440 according to the target emotion state specifically for determining adjusting parameter；According to institute
State the virtual reality scenario that adjusting parameter adjusts the current presentation.Mood regulation module 440 is by adjusting parameter to sending module
450 send.
Alternatively, sending module 450 is used to receive the adjusting parameter of the transmission of mood regulation module 440, and the adjustment is joined
Number is sent to control terminal, wherein, the adjusting parameter is used for assist said user and adjusts mood.
Such scheme, the device for adjusting mood obtains the current eeg signal of user；According to brain wave information and mood
The default corresponding relation of state, it is determined that the corresponding target emotion state of current eeg signal；Adjusted according to target emotion state
The virtual reality scenario of whole current presentation.Because the device for adjusting mood can obtain the brain wave information of user, and according to brain
The corresponding emotional state of wave information, for the current current virtual reality picture for presenting of emotional state adjustment, so as to pass through
The current virtual reality picture for presenting reconciles user emotion such that it is able to adjust user emotion effectively in real time.
Due to adjusting the device of mood on the premise of limb motion is carried out without the need for user, can automatically be adjusted according to emotional state
The virtual reality scenario of whole current presentation, more accurately in being now able to improve the virtual reality scenario of user emotion can prevent from using
Family it is uncontrollable self and send the situation of false command to the device for adjusting mood.
In addition, auxiliary user adjusts the support staff of mood can also to need to adjust the use of mood by adjusting parameter auxiliary
Family adjust mood, can monitor in real time mood regulation process, prevent user from accident occurring because losing one's temper.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention
Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.
Claims (10)
1. it is a kind of adjust mood method, it is characterised in that methods described includes：
Obtain the current eeg signal of user；
According to brain wave information and the default corresponding relation of emotional state, the corresponding target of the current eeg signal is determined
Emotional state；
According to the current virtual reality scenario for presenting of target emotion state adjustment.
2. method according to claim 1, it is characterised in that described to present according to target emotion state adjustment is current
Virtual reality scenario include：
Adjusting parameter is determined according to the target emotion state；
The virtual reality scenario of the current presentation is adjusted according to the adjusting parameter.
3. method according to claim 2, it is characterised in that described that adjusting parameter is determined according to the target emotion state
Afterwards, methods described also includes：
The adjusting parameter is sent to control terminal, wherein, the adjusting parameter assist said user adjusts mood.
4. the method according to any one of claims 1 to 3, it is characterised in that described according to brain wave information and mood shape
The default corresponding relation of state, determines that the corresponding target emotion state of the current eeg signal includes：
The current eeg signal is pre-processed；
Extract the corresponding characteristic information of the pretreated current eeg signal；
According to brain wave information and the default corresponding relation of emotional state, the corresponding target emotion shape of the characteristic information is determined
State.
5. method according to claim 1, it is characterised in that before the current eeg signal of the acquisition user, institute
Stating method also includes：
Obtain the corresponding brain wave information of various emotional states；
The default corresponding relation of the brain wave information and the emotional state is set up, and stores the default corresponding relation.
6. it is a kind of adjust mood device, it is characterised in that described device includes：
Acquisition module, the eeg signal current for obtaining user；
Determining module, for according to the default corresponding relation of brain wave information and emotional state, determining the current brain wave
The corresponding target emotion state of signal；
Mood regulation module, for according to the current virtual reality scenario for presenting of target emotion state adjustment.
7. device according to claim 6, it is characterised in that the mood regulation module is specifically for according to the target
Emotional state determines adjusting parameter；The virtual reality scenario of the current presentation is adjusted according to the adjusting parameter.
8. device according to claim 7, it is characterised in that described device also includes：
Sending module, for the adjusting parameter to be sent to control terminal, wherein, the adjusting parameter is used to aid in the use
Family adjusts mood.
9. the device according to any one of claim 6 to 8, it is characterised in that the determining module is specifically for described
Current eeg signal is pre-processed；Extract the corresponding characteristic information of the pretreated current eeg signal；
According to brain wave information and the default corresponding relation of emotional state, the corresponding target emotion state of the characteristic information is determined.
10. device according to claim 6, it is characterised in that described device also includes：
Module is set up, for obtaining the corresponding brain wave information of various emotional states；Set up the brain wave information and the feelings
The default corresponding relation of not-ready status, and store the default corresponding relation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611061380.5A CN106620990A (en) | 2016-11-24 | 2016-11-24 | Method and device for monitoring mood |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611061380.5A CN106620990A (en) | 2016-11-24 | 2016-11-24 | Method and device for monitoring mood |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106620990A true CN106620990A (en) | 2017-05-10 |
Family
ID=58812220
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611061380.5A Pending CN106620990A (en) | 2016-11-24 | 2016-11-24 | Method and device for monitoring mood |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106620990A (en) |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107193378A (en) * | 2017-05-20 | 2017-09-22 | 吉林大学 | Emotion decision maker and method based on brain wave machine learning |
| CN107376091A (en) * | 2017-06-30 | 2017-11-24 | 重庆柚瓣家科技有限公司 | It is adapted to the intelligent music relaxation system of old application |
| CN107402635A (en) * | 2017-07-31 | 2017-11-28 | 天津易念波科技有限公司 | With reference to brain wave and the mental health adjusting method and system of virtual reality |
| CN107929027A (en) * | 2017-12-28 | 2018-04-20 | 泉州迪特工业产品设计有限公司 | One kind adjusts emotional intelligence pillow and its method of work |
| WO2018120638A1 (en) * | 2016-12-30 | 2018-07-05 | 深圳市超级人生科技有限公司 | Vr scene control method and apparatus |
| CN108363487A (en) * | 2018-01-29 | 2018-08-03 | 阿里巴巴集团控股有限公司 | Construction method, dreamland replay method and the device of dreamland playback model |
| CN108525100A (en) * | 2018-06-15 | 2018-09-14 | 杭州星客厅网络科技有限公司 | A kind of business model of shared Multifunctional mood adjusting cabin |
| CN108970109A (en) * | 2018-06-21 | 2018-12-11 | 珠海金山网络游戏科技有限公司 | A kind of methods, devices and systems based on idiodynamic reality-virtualizing game |
| CN109350051A (en) * | 2018-11-28 | 2019-02-19 | 华南理工大学 | The head wearable device and its working method with adjusting are assessed for the state of mind |
| CN109432567A (en) * | 2018-10-19 | 2019-03-08 | 北京中海天洋教育科技有限公司 | A kind of Feeling control system based on adaptive virtual reality scenario |
| CN109828656A (en) * | 2017-11-23 | 2019-05-31 | 上海视天科技有限公司 | One kind is monitored based on brain wave and is adjusted user's excitement degree virtual reality system |
| CN109961018A (en) * | 2019-02-27 | 2019-07-02 | 易念科技（深圳）有限公司 | Electroencephalogramsignal signal analysis method, system and terminal device |
| CN110658911A (en) * | 2018-06-29 | 2020-01-07 | 深圳市掌网科技股份有限公司 | Virtual reality course adjusting system and method, virtual reality helmet and processing device |
| CN110743078A (en) * | 2019-08-05 | 2020-02-04 | 北京泷信科技有限公司 | Psychological adjustment training scheme generation method and equipment |
| CN110947076A (en) * | 2019-11-27 | 2020-04-03 | 华南理工大学 | Intelligent brain wave music wearable device capable of adjusting mental state |
| CN110947075A (en) * | 2019-11-27 | 2020-04-03 | 华南理工大学 | Personalized mental state adjusting system and method based on brainwave music |
| CN111513710A (en) * | 2020-04-13 | 2020-08-11 | 上海骏恺环境工程股份有限公司 | Human living environment intelligent adjusting method and system |
| CN112231037A (en) * | 2020-10-22 | 2021-01-15 | 浙江工商职业技术学院 | Method for designing corresponding icon based on emotion |
| CN112987918A (en) * | 2021-02-06 | 2021-06-18 | 杭州职业技术学院 | VR mobile platform data processing method and device |
| CN113053492A (en) * | 2021-04-02 | 2021-06-29 | 北方工业大学 | Self-adaptive virtual reality intervention system and method based on user background and emotion |
| CN113171612A (en) * | 2021-04-30 | 2021-07-27 | 天津大学 | Construction method of immersive VR experience scene for emotion improvement |
| CN113633870A (en) * | 2021-08-31 | 2021-11-12 | 武汉轻工大学 | Emotional state adjusting system and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412646A (en) * | 2013-08-07 | 2013-11-27 | 南京师范大学 | Emotional music recommendation method based on brain-computer interaction |
| CN204990187U (en) * | 2015-09-16 | 2016-01-20 | 陈包容 | Take brain wave control function's virtual reality helmet |
| CN105249975A (en) * | 2015-11-10 | 2016-01-20 | 广景视睿科技（深圳）有限公司 | Method and system for conditioning mood state |
| CN205015560U (en) * | 2015-09-23 | 2016-02-03 | 深圳创达云睿智能科技有限公司 | VR glasses |
| CN105487229A (en) * | 2015-12-18 | 2016-04-13 | 济南中景电子科技有限公司 | Multichannel interaction virtual reality glasses |
-
2016
- 2016-11-24 CN CN201611061380.5A patent/CN106620990A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412646A (en) * | 2013-08-07 | 2013-11-27 | 南京师范大学 | Emotional music recommendation method based on brain-computer interaction |
| CN204990187U (en) * | 2015-09-16 | 2016-01-20 | 陈包容 | Take brain wave control function's virtual reality helmet |
| CN205015560U (en) * | 2015-09-23 | 2016-02-03 | 深圳创达云睿智能科技有限公司 | VR glasses |
| CN105249975A (en) * | 2015-11-10 | 2016-01-20 | 广景视睿科技（深圳）有限公司 | Method and system for conditioning mood state |
| CN105487229A (en) * | 2015-12-18 | 2016-04-13 | 济南中景电子科技有限公司 | Multichannel interaction virtual reality glasses |
Non-Patent Citations (1)
| Title |
|---|
| 聂聃等: "基于脑电的情绪识别研究综述", 《中国生物医学工程学报》 * |
Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018120638A1 (en) * | 2016-12-30 | 2018-07-05 | 深圳市超级人生科技有限公司 | Vr scene control method and apparatus |
| CN107193378A (en) * | 2017-05-20 | 2017-09-22 | 吉林大学 | Emotion decision maker and method based on brain wave machine learning |
| CN107376091A (en) * | 2017-06-30 | 2017-11-24 | 重庆柚瓣家科技有限公司 | It is adapted to the intelligent music relaxation system of old application |
| CN107402635A (en) * | 2017-07-31 | 2017-11-28 | 天津易念波科技有限公司 | With reference to brain wave and the mental health adjusting method and system of virtual reality |
| CN109828656A (en) * | 2017-11-23 | 2019-05-31 | 上海视天科技有限公司 | One kind is monitored based on brain wave and is adjusted user's excitement degree virtual reality system |
| CN107929027A (en) * | 2017-12-28 | 2018-04-20 | 泉州迪特工业产品设计有限公司 | One kind adjusts emotional intelligence pillow and its method of work |
| CN108363487A (en) * | 2018-01-29 | 2018-08-03 | 阿里巴巴集团控股有限公司 | Construction method, dreamland replay method and the device of dreamland playback model |
| CN108363487B (en) * | 2018-01-29 | 2020-04-07 | 阿里巴巴集团控股有限公司 | Construction method of dream reproduction model, and dream reproduction method and device |
| CN108525100A (en) * | 2018-06-15 | 2018-09-14 | 杭州星客厅网络科技有限公司 | A kind of business model of shared Multifunctional mood adjusting cabin |
| CN108970109A (en) * | 2018-06-21 | 2018-12-11 | 珠海金山网络游戏科技有限公司 | A kind of methods, devices and systems based on idiodynamic reality-virtualizing game |
| CN110658911A (en) * | 2018-06-29 | 2020-01-07 | 深圳市掌网科技股份有限公司 | Virtual reality course adjusting system and method, virtual reality helmet and processing device |
| CN109432567A (en) * | 2018-10-19 | 2019-03-08 | 北京中海天洋教育科技有限公司 | A kind of Feeling control system based on adaptive virtual reality scenario |
| CN109350051B (en) * | 2018-11-28 | 2023-12-29 | 华南理工大学 | Head wearable device for mental state assessment and adjustment and working method thereof |
| CN109350051A (en) * | 2018-11-28 | 2019-02-19 | 华南理工大学 | The head wearable device and its working method with adjusting are assessed for the state of mind |
| CN109961018A (en) * | 2019-02-27 | 2019-07-02 | 易念科技（深圳）有限公司 | Electroencephalogramsignal signal analysis method, system and terminal device |
| CN110743078B (en) * | 2019-08-05 | 2022-07-26 | 北京泷信科技有限公司 | Psychological adjustment training scheme generation method and equipment |
| CN110743078A (en) * | 2019-08-05 | 2020-02-04 | 北京泷信科技有限公司 | Psychological adjustment training scheme generation method and equipment |
| CN110947076A (en) * | 2019-11-27 | 2020-04-03 | 华南理工大学 | Intelligent brain wave music wearable device capable of adjusting mental state |
| CN110947075A (en) * | 2019-11-27 | 2020-04-03 | 华南理工大学 | Personalized mental state adjusting system and method based on brainwave music |
| CN111513710A (en) * | 2020-04-13 | 2020-08-11 | 上海骏恺环境工程股份有限公司 | Human living environment intelligent adjusting method and system |
| CN112231037A (en) * | 2020-10-22 | 2021-01-15 | 浙江工商职业技术学院 | Method for designing corresponding icon based on emotion |
| CN112231037B (en) * | 2020-10-22 | 2024-08-13 | 浙江工商职业技术学院 | Method for designing corresponding icon based on emotion |
| CN112987918A (en) * | 2021-02-06 | 2021-06-18 | 杭州职业技术学院 | VR mobile platform data processing method and device |
| CN113053492A (en) * | 2021-04-02 | 2021-06-29 | 北方工业大学 | Self-adaptive virtual reality intervention system and method based on user background and emotion |
| CN113053492B (en) * | 2021-04-02 | 2022-07-15 | 北方工业大学 | Self-adaptive virtual reality intervention system and method based on user background and emotion |
| CN113171612A (en) * | 2021-04-30 | 2021-07-27 | 天津大学 | Construction method of immersive VR experience scene for emotion improvement |
| CN113633870A (en) * | 2021-08-31 | 2021-11-12 | 武汉轻工大学 | Emotional state adjusting system and method |
| CN113633870B (en) * | 2021-08-31 | 2024-01-23 | 武汉轻工大学 | Emotion state adjustment system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106620990A (en) | Method and device for monitoring mood | |
| Coyle et al. | A time-series prediction approach for feature extraction in a brain-computer interface | |
| CN107220591A (en) | Multi-modal intelligent mood sensing system | |
| AU2020100027A4 (en) | Electroencephalogram-based negative emotion recognition method and system for aggressive behavior prediction | |
| CN109585021B (en) | Mental state evaluation method based on holographic projection technology | |
| CN111329474A (en) | Electroencephalogram identity recognition method and system based on deep learning and information updating method | |
| CN110353702A (en) | A kind of emotion identification method and system based on shallow-layer convolutional neural networks | |
| WO2021248916A1 (en) | Gait recognition and emotion sensing method and system based on intelligent acoustic device | |
| CN109215763A (en) | A kind of emotional health monitoring method and system based on facial image | |
| CN108577866A (en) | A kind of system and method for multidimensional emotion recognition and alleviation | |
| Raza et al. | Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces | |
| CN115640827B (en) | Intelligent closed-loop feedback network method and system for processing electrical stimulation data | |
| Abbas et al. | Eye blinking EOG signals as biometrics | |
| CN111728610A (en) | Electroencephalogram nerve feedback system in closed-loop cognitive feedback form | |
| CN111920420A (en) | Patient behavior multi-modal analysis and prediction system based on statistical learning | |
| CN112488002A (en) | Emotion recognition method and system based on N170 | |
| Sheng et al. | An adaptive time window method for human activity recognition | |
| Yıldırım et al. | A research on estimation of emotion using EEG signals and brain computer interfaces | |
| CN108197542B (en) | Face recognition method and device | |
| KR102285482B1 (en) | Method and apparatus for providing content based on machine learning analysis of biometric information | |
| CN115857595B (en) | Functional environment adjusting method, system and device based on user mood | |
| US20230372190A1 (en) | Adaptive speech and biofeedback control of sexual stimulation devices | |
| CN112370058A (en) | Method for identifying and monitoring emotion of user based on mobile terminal | |
| CN109670479B (en) | Intelligent monitoring method and system | |
| CN110693508A (en) | Multi-channel cooperative psychophysiological active sensing method and service robot |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170510 |