CN109144242A - Player performs evaluating method and system - Google Patents
Player performs evaluating method and system Download PDFInfo
- Publication number
- CN109144242A CN109144242A CN201810636540.7A CN201810636540A CN109144242A CN 109144242 A CN109144242 A CN 109144242A CN 201810636540 A CN201810636540 A CN 201810636540A CN 109144242 A CN109144242 A CN 109144242A
- Authority
- CN
- China
- Prior art keywords
- focus
- player
- evaluation user
- user
- physiological reaction
- 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
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000011156 evaluation Methods 0.000 claims abstract description 148
- 230000011514 reflex Effects 0.000 claims abstract description 81
- 239000000284 extract Substances 0.000 claims description 16
- 238000004422 calculation algorithm Methods 0.000 claims description 15
- 238000012552 review Methods 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 abstract description 15
- 230000000875 corresponding effect Effects 0.000 description 21
- 230000006870 function Effects 0.000 description 8
- 210000004556 brain Anatomy 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000004424 eye movement Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000002889 sympathetic effect Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000000926 neurological effect Effects 0.000 description 3
- 230000035479 physiological effects, processes and functions Effects 0.000 description 3
- 230000000638 stimulation Effects 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000017531 blood circulation Effects 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 239000003792 electrolyte Substances 0.000 description 2
- 210000001508 eye Anatomy 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 210000005036 nerve Anatomy 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000028327 secretion Effects 0.000 description 2
- 210000004243 sweat Anatomy 0.000 description 2
- 229920000832 Cutin Polymers 0.000 description 1
- 206010057315 Daydreaming Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000008485 antagonism Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 210000005252 bulbus oculi Anatomy 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000006998 cognitive state Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000002996 emotional effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 210000003733 optic disk Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001734 parasympathetic effect Effects 0.000 description 1
- 210000005037 parasympathetic nerve Anatomy 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 210000000106 sweat gland Anatomy 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- General Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Neurosurgery (AREA)
- Game Theory and Decision Science (AREA)
- Human Computer Interaction (AREA)
- Neurology (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Dermatology (AREA)
- Biomedical Technology (AREA)
- Primary Health Care (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention proposes that a kind of player performs evaluating method and system, wherein method includes: to obtain the physiological reaction signal of each evaluation user during player's performance；The focus of each evaluation user is determined according to the physiological reaction signal of each evaluation user；The selecting result of player's performance is obtained according to the focus of each evaluation user.As a result, to evaluate the real-time physiological signals for being difficult to independently change as foundation, the selecting result performed player is obtained, ensure that the authenticity of performance competition.
Description
Technical field
The present invention relates to technical field of information processing more particularly to a kind of player to perform evaluating method and system.
Background technique
With advances in technology and culture development, the diversification of the performance form of modern society also more, for example, working as
Under popular talent competition, to there is the performance player of corresponding performance intelligence and art to provide the stage of performance, even, many performance
Player can move towards performing career by the outstanding behaviours in talent competition.
In general, being chosen by spectators and evaluation for the performance of performance player in talent competition, choosing high player will
More demonstrating machine meetings and performing art resource can be obtained, however, being influenced by current amusement confusion, is commented in performance player
When selecting, many spectators even evaluate and do not make true competition according to the performance of player, so that the performance of selecting result and player
It is inconsistent, influence the justice of match.
Summary of the invention
The present invention provides a kind of player and performs evaluating method and system, to solve in the prior art, the competition of player's performance
As a result than true technical problem.
The embodiment of the present invention provides a kind of player's performance evaluating method, comprising the following steps: during player's performance, obtains
Take the physiological reaction signal of each evaluation user；Each evaluation user is determined according to the physiological reaction signal of each evaluation user
Focus；The selecting result of player's performance is obtained according to the focus of each evaluation user.
Another embodiment of the present invention provides a kind of player perform evaluating system, comprising: physiological reaction signal collecting device and
Processor, wherein the physiological reaction signal collecting device is connected with the processor, wherein the physiological reaction signal is adopted
Collect equipment, for during player's performance, obtaining the physiological reaction signal of each evaluation user；The processor is used for basis
The physiological reaction signal of each evaluation user determines the focus of each evaluation user, according to the special of each evaluation user
Note degree obtains the selecting result of player's performance.
Further embodiment of this invention provides a kind of non-transitorycomputer readable storage medium, is stored thereon with computer journey
Sequence realizes that the player as described in above-described embodiment performs evaluating method when the computer program is executed by processor.
A further embodiment of the present invention provides a kind of computer program product, when the instruction in the computer program product by
When processor executes, executes the player as described in above-described embodiment and perform evaluating method.
Technical solution provided in an embodiment of the present invention can include the following benefits:
During player's performance, the physiological reaction signal of each evaluation user is obtained, the physiology according to each evaluation user is anti-
Induction signal determines the focus of each evaluation user, in turn, the competition knot of player's performance is obtained according to the focus of each evaluation user
Fruit.As a result, to evaluate the real-time physiological signals for being difficult to independently change as foundation, the selecting result performed player is obtained, is guaranteed
The authenticity of performance competition.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is that the player of one embodiment according to the present invention performs the flow chart of evaluating method；
Fig. 2 is that the player of second embodiment according to the present invention performs the flow chart of evaluating method；
Fig. 3 is that the player of third embodiment according to the present invention performs the flow chart of evaluating method；
Fig. 4 is the application scenarios schematic diagram that player according to an embodiment of the invention performs evaluating method；
Fig. 5 is the structural schematic diagram that player according to an embodiment of the invention performs evaluating system；And
Fig. 6 is the structural schematic diagram that player in accordance with another embodiment of the present invention performs evaluating system.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings the player for describing the embodiment of the present invention performs evaluating method and system.
Fig. 1 is that the player of one embodiment according to the present invention performs the flow chart of evaluating method, as shown in Figure 1, the party
Method includes:
Step 101, during player performs, the physiological reaction signal of each evaluation user is obtained.Wherein, physiological reaction is believed
It number may include one or more of skin conductance signal, heart rate signal, electrocardiosignal, eye movement signal, EEG signals letter
Number combination, this is not restricted.It is appreciated that in practical applications, user may be watched and more feel emerging to current show content
It is higher not represent current show content quality yet for interest, for example may be only that performing artist is selling miserable speech etc., thus, in order to make
Obtaining selecting result is that performance quality can be considered with emphasis according to the feedback to performance quality.
Specifically, the physiological reaction signal of each evaluation user is obtained, so that ensure that would generally carry out according to performance quality
The emphasis of the specialized review of physiological reaction refers to.
Specifically, in an embodiment of the present invention, it can acquire each evaluation user's by physiological reaction signal collecting device
Physiological reaction signal, wherein according to the difference of application scenarios, physiological reaction signal collecting device can be different equipment, than
Such as, it can be directly contacted for the wrist strap comprising physiological reaction signal transducer, cap, gloves, necklace, face's paster etc.
The equipment that user's skin detects the physiological reaction signal of user in turn.
Step 102, the focus of each evaluation user is determined according to the physiological reaction signal of each evaluation user.
Wherein, respectively the focus of user is evaluated in an embodiment of the present invention, it can be understood as each evaluation user is absorbed in
The average value of degree, wherein the acquisition modes of the real-time focus of each evaluation user can be using the description of following embodiments
Mode is implemented, for convenience of description, below in mode shown in example, in a manner of obtaining the real-time focus individually evaluated
It is illustrated.
Wherein, under different application scenarios, each focus for evaluating user can be indicated with specifically numerical value, such as with
Digital representation in hundred-mark system, numerical value is bigger to represent that user is more absorbed, for example indicates that bigger grade with the grade in hierarchy
It represents that user is more absorbed, table is for another example come with the quantity of specific symbol (star symbol, flower symbol, heart symbol etc.)
Show, symbol quantity represents the more absorbed of each evaluation user.
It is appreciated that the physiological reaction signal of each evaluation user can really react the quality of player's performance, for example, when life
Reaction signal is managed when including skin conductance signal, skin can be presented certain resistance to electric current or voltage, and the size of resistance
It can change with emotional change, in general, each possibility for evaluating user is currently in absent-minded, player in the state of more easily
Performance can not cause it is each evaluation user interest, the resistance of human skin is larger, so that skin conductance signal is lower, in essence
When refreshing nervous, the performance of the current performance player of the viewing that each possibility for evaluating user is currently being absorbed in, the resistance of human skin
It is smaller, so that human skin conductance signal is higher, this is because change of the sympathetic and parasympathetic nerve according to the cognitive state of brain
Change the adjusting for carrying out antagonism formula, and sympathetic and parasympathetic activity will affect skin resistance.
For another example, when physiological reaction signal includes heart rate signal, if respectively the heart rate volatility of evaluation user is smaller, table
Bright each evaluation user's is absorbed in current performance, if respectively the changes in heart rate of evaluation user is bigger, shows to current
Performance be not absorbed in.
It should be noted that different modes can be used and realize according to each evaluation user's under different application scenarios
Physiological reaction signal determines the real-time focus of each evaluation user, illustrates as follows:
The first example:
In this example, previously according to lot of experimental data, obtain and store the correspondence of focus and physiological reaction signal
Relationship, thus, after obtaining physiological reaction signal, above-mentioned corresponding relationship is inquired, to obtain the real-time focus of matched user.
Second of example:
Previously according to lot of experimental data, the deep-neural-network model of physiological reaction signal, the input of the model are constructed
For physiology reaction signal, the focus for user is exported, thus, the physiological reaction signal for the user that will acquire inputs deep layer mind
Through network model, the real-time focus of the user exported.
The third example:
In this example, as shown in Fig. 2, above-mentioned steps 102 include:
Step 201, the physiological reaction signal that each evaluation user is analyzed according to preset strategy, extracts being absorbed in for each evaluation user
Characteristic information.
It should be understood that under different application scenarios, the physiological reaction signal of above-mentioned each evaluation user of analysis it is pre-
If tactful different, so that the absorbed characteristic information of each evaluation user extracted is different:
As a kind of possible implementation, being absorbed in characteristic information is to be absorbed in number, then can detecte physiological reaction signal
Absorbed number is extracted greater than the number of preset threshold.
For example, when physiological reaction signal is skin conductance signal, due in practical applications, evaluation user is to working as
Preceding performance is more absorbed, then the brain neurological motion for evaluating user is abundanter, and the stimulation and sympathetic nerve by show content are living
Dynamic influence can make the electrical conductivity of skin surface change (its origin cause of formation is related with sympathetic nerve and sweat gland activity degree), spiritual shape
State is more absorbed, and skin conductivity is bigger, and the skin conductance signal known according to this principle to detection is bigger.
For example, when physiological reaction signal is eye movement signal, since in practical applications, evaluation user is to current choosing
Wrist-watch is drilled more absorbed, then the eye gaze point for evaluating user is concentrated in player, and can be moved with player, to examine
The eye movement change rate signal (such as trail change rate of eyeball etc., change rate of blinkpunkt etc.) measured is higher, evaluates user couple
Current player's performance is not absorbed in, then the eyes for evaluating user will not be with player and mobile or blinkpunkt deviates player, from
And the eye movement change rate signal that detects is lower or blinkpunkt is not with player.
Thus, in this example, previously according to the corresponding preset threshold of lot of experimental data setting physiological reaction signal, mention
The number for taking physiological reaction signal to be greater than preset threshold extracts absorbed number.
As alternatively possible implementation, detects real-time physiological reaction signal and be greater than the time extraction of preset threshold specially
Infuse the time.
Since in practical applications, evaluation user is more absorbed to current performance, then the physiology that can be embodied in evaluation user is anti-
On induction signal, for example, evaluation user is more absorbed to current show content, then when physiological reaction signal is skin conductance signal
The brain neurological motion for evaluating user is abundanter, by the stimulation of show content, can make the electrical conductivity of skin surface change (its at
Because of possible sweat secretion amount, body surface electrolyte, blood circulation speed etc.) variable quantity is bigger (electrical conductivity increase), so that detection obtains
The skin conductance signal known is bigger.
Thus, in this example, real-time physiological reaction signal can also be detected and extracted greater than the time of preset threshold and be absorbed in
Time.
As another possible implementation, the amplitude that can detecte real-time physiological reaction signal greater than preset threshold is mentioned
Take absorbed intensity.
Believe since in practical applications, evaluation user can react the absorbed intensity of current show content in physiological reaction
In number, therefore, it is possible to the absorbed intensity of evaluation user be extracted according to the size of physiological reaction signal, for example, working as physiological reaction
When signal includes skin conductivity signal, then the brain neurological motion for performing user is abundanter, by the stimulation of show content, can make
The electrical conductivity of skin surface changes (the possible sweat secretion amount of its origin cause of formation, body surface electrolyte, blood circulation speed etc.) variable quantity and is cured
(electrical conductivity increase) greatly, so that the skin conductance signal that detection is known is bigger.
Thus, in this example, physiological reaction signal can also be detected and extracted greater than the amplitude of preset threshold and be absorbed in intensity,
For example, the amplitude that detection skin conductance signal is greater than preset threshold is extracted and is absorbed in intensity, if preset threshold is A, current skin
Conductance signal is the B greater than A, then can be using B-A as absorbed intensity.
Wherein, under different application scenarios, the absorbed characteristic information of the evaluation user of above-mentioned three kinds of examples acquisition can be with
As individual reference factor, for further determining that the focus of evaluation user, above-mentioned three kinds of examples can also be acquired
Any two kinds of combination of the absorbed characteristic information of user is evaluated as reference factor, for further determining that evaluation user's is special
Note degree, can also be using the absorbed characteristic information for the evaluation user that above-mentioned three kinds of examples acquire as reference factor, for further
Determine the focus of evaluation user.
In addition, the accuracy of the focus in order to guarantee to further determine that evaluation user, in one embodiment of the present of invention
In, the above-mentioned preset threshold being compared with physiological reaction signal can also be arranged according to the somatotypes of evaluation user, for example,
When physiological reaction signal includes skin conductance signal, user is evaluated for women and male evaluates user or all ages and classes
For the evaluation user of section, the cutin of skin surface and aridity etc. are different, thus, it measures and obtains under same focus
Skin conductance signal be different, can also be according to many experiments number in order to compensate for the physical difference of this evaluation user
According to this difference data is obtained, for the different preset threshold of different constitution user settings, for example, due to evaluation female user
Skin is more wet compared to evaluation male user, electric conductivity is stronger, thus the preset threshold being arranged is relatively higher etc..
Step 202, it is calculated using absorbed characteristic information of the preset algorithm to each evaluation user, obtains each evaluation user
Focus.
Specifically, being absorbed in feature letter to the real-time of each evaluation user using preset algorithm according to the difference of application scenarios
The mode that breath calculate the real-time focus for obtaining each evaluation user is different, is lifted below with reference to different application scenarios
Example:
Scene one:
Under the scene, evaluates the real-time of user and be absorbed in characteristic information for single characteristic information, for example be only to be absorbed in
Number, alternatively, the time is absorbed in, alternatively, being absorbed in intensity.
Since the corresponding data value of absorbed characteristic information of evaluation user is bigger, for example absorbed number is bigger, indicates evaluation
User is more absorbed in current performance, and therefore, the preset algorithm under this scene is linear operation corresponding with absorbed characteristic information calculation
Method, for example, the algorithm can be Y=a*X, wherein Y is the focus for evaluating user, and X is to be absorbed in the corresponding data of characteristic information
Value, a can be arbitrarily large in 0 number.
Wherein it is possible to consider to be absorbed in correlation when characteristic information includes different feature with evaluation user's focus
Difference usually evaluate reference meaning of the absorbed time compared to absorbed number of user for example, in the focus for determining user
Justice is bigger, because sometimes, although evaluation user is repeatedly absorbed in current show content, the duration is shorter, still
Think that evaluating user is not absorbed in current show content, therefore, above-mentioned a is also can correspond to different absorbed characteristic informations
Weighted value, for example, corresponding a is 0.6 when absorbed characteristic information is to be absorbed in number, when absorbed characteristic information is to be absorbed in the time
When, corresponding a is 0.8.
Scene two:
Under the scene, the absorbed characteristic information for evaluating user is multiple characteristic informations, such as including absorbed number and specially
The time is infused, alternatively, time and absorbed intensity are absorbed in, alternatively, being absorbed in number, being absorbed in time and absorbed intensity etc..
Since the corresponding data value of absorbed characteristic information of evaluation user is bigger, for example absorbed number is bigger, indicates evaluation
User is more absorbed in current performance, therefore, corresponding preset algorithm data value corresponding with the evaluation absorbed characteristic information of user
It is positively correlated, for example, Y=a1*X1+ ...+an*Xn, wherein n is the positive integer more than or equal to 2, and a1 to an is positive number, and a1 to an can
, can also be unequal with equal, when a1 to an is unequal, it can be used to indicate that the absorbed characteristic information of different evaluation users
To the weighted value of the different reference significances of focus, X1 to Xn indicates that the absorbed characteristic information of different evaluation users is corresponding
Data value.
Certainly, in the actual operation process, the preset algorithm in the scene can also be that any embody evaluates the special of user
The positively related algorithm expression of the corresponding data value of characteristic information is infused, it is numerous to list herein.
Step 103, the selecting result of player's performance is obtained according to the focus of each evaluation user.
It is appreciated that the real-time focus of evaluation user and performance quality are closely related, usually evaluating user can more specially
Infuse in the higher performance of attraction, therefore, according to evaluation user focus to obtain player performance selecting result compared with subject to
Really.
Wherein, in practical implementation, selecting result can be different according to the difference of application scenarios, for example, this is commented
Selecting result can be the fraction representation of hundred-mark system, can also be indicated for social estate system etc., as a kind of possible implementation, working as
When preceding selecting result corresponds to hundred-mark system scoring, it can be counted using appraisal result of the preset algorithm to each evaluation user
It calculates, obtains the real-time focus of each evaluation user, for example, the corresponding relationship of focus and appraisal result is pre-established, thus,
After the focus for obtaining evaluation user, above-mentioned corresponding relationship is inquired, corresponding appraisal result is got, in turn, according to each evaluation
The appraisal result of user obtains the appraisal result of player's performance.
Certainly, consideration is not also identical in the reference significance in practical applications, evaluating user, thus, of the invention one
In a embodiment, different references is carried out to the competition of evaluation user according to the professional degree of evaluation user.
Specifically, as shown in figure 3, above-mentioned steps 103 include:
Step 301, first is obtained according to the real-time focus that evaluation user identifier extracts all specialized review users to be averaged
Focus, the real-time focus for extracting all public evaluation users obtains the second average focus, and extracts all media and comment
The real-time focus for examining user obtains third and is averaged focus.
Specifically, it is contemplated that specialized review, the professional degree of public evaluation and media evaluation and to the focus of performance
Difference, for example, the performance of the good-looking player of concern appearance is compared in public evaluation, specialized review compares the strong player's of concern profession
Popular performance of concern etc. is compared in performance, media evaluation, thus, for the ease of carrying out more accurately competition to player, obtain respectively
Take the average profession degree of specialized review, public evaluation and media evaluation.
Specifically, first is obtained averagely specially according to the real-time focus that evaluation user identifier extracts all specialized review users
Note degree, the real-time focus for extracting all public evaluation users obtains the second average focus, and extracts all media evaluations
The real-time focus of user obtains third and is averaged focus.
Wherein, evaluation user identifier is used to indicate different evaluation users, may include the physiological reactions such as skin sensor
The physiological reaction signal collecting device mark that signal collecting device uploads, such as production number, the registration code of skin sensor equipment
Deng, can be position sensor acquisition evaluation user location information, for example, evaluation user seat number, evaluation user
Specific coordinate information in place etc..
Step 302, preset the first weight corresponding with specialized review user is obtained, evaluates user corresponding the with public
Two weights, and third weight corresponding with media evaluation user.
Specifically, the first weight, the specific weight of the second weight and third weight, according to the competition demand under current scene
It determines, for example, if currently competition demand is to select the higher player of professional standards, the highest of the first weight setting, for example,
If the demand currently chosen is the player for selecting appearance good-looking, the second weight is arranged most high.
Step 303, using preset algorithm to the first weight and the first average focus, the second weight and second is averagely absorbed in
Degree and third weight and the third focus that be averaged calculate and obtain the selecting result that player performs.
In one embodiment of the invention, the evaluation user identifier for distinguishing different evaluations, the evaluation are preset
User identifier is corresponding with the acquisition evaluation physiological signal collection equipment of physiological reaction signal of user, for example, physiological signal collection
Equipment is arranged on seat, is distinguished using seat number, then evaluating user identifier can be corresponding seat number etc., in turn,
The real-time focus for extracting all specialized reviews from all evaluation users according to evaluation user identifier obtains first and is averagely absorbed in
Degree, the real-time focus for extracting all public evaluations obtain the second average focus, and, extract the real-time of all media evaluations
Focus obtains third and is averaged focus.
In turn, using preset algorithm to the first weight and the first average focus, the second weight and the second average focus,
And third weight and third be averaged focus carry out calculate obtain player performance selecting result.
Wherein, in practical implementation, selecting result can be different according to the difference of application scenarios, for example, this is commented
Selecting result can be the fraction representation of hundred-mark system, can also be indicated for social estate system etc., as a kind of possible implementation, working as
When preceding selecting result corresponds to hundred-mark system and scores, can using preset algorithm to the first weight and the first average focus, second
Weight and the second average focus and third weight and the third focus that is averaged are calculated, for example, by the first weight and the
The product and the second weight of one average focus and the second average focus and third weight and second are averaged the multiplying of focus
After accumulating and being converted into hundred-mark system, using the score value of hundred-mark system as selecting result.
In view of the performance attitude in application scenes, performing player is also particularly significant, thus, even if performance player
Selecting result it is high, but if the heart is not walked in its performance, its selecting result is suitably reduced.
In one embodiment of the invention, in the selecting result for obtaining player's performance according to the focus of each evaluation user
Later, the physiological reaction signal for obtaining player, the focus of player is determined according to the physiological reaction signal of player, according to player's
Focus is modified selecting result.For example, to competition if the focus of current player is lower than the amplitude of preset threshold
As a result appropriate reduction etc. is carried out.For another example, to selecting result if the focus of current player is higher than the amplitude of preset threshold
It properly increases etc..
In order to more clearly illustrate that player of the present invention performs the implementation process of evaluating method, below with reference to specific application
Scene is illustrated, and is described as follows:
Wherein, in the application scenarios, application scenarios are singing contest, as shown in figure 4, when player sings on platform
When, the real-time physiological reaction signal of evaluation is obtained, the first weight of specialized review in evaluation user, public second evaluated are obtained
Weight does not propose the third weight of evaluation, extracts the real-time focus of professional judging panel from evaluation user according to evaluation user identifier
The first average focus is obtained, the real-time focus for extracting public judging panel obtains the second average focus, and extracts all matchmakers
The real-time focus of body masses judging panel obtains third and be averaged focus, by the product of the first weight and the first average focus and the
The be averaged product of focus of the sum of products conversion of two weights and the second average focus and third weight and third is hundred-mark system
Afterwards, using the score value of hundred-mark system as selecting result, as a result, to evaluate the real-time physiological signals that are difficult to independently change as foundation,
The selecting result performed player is obtained, ensure that the authenticity of performance competition.
In conclusion the player of the embodiment of the present invention performs evaluating method, during player's performance, obtains each evaluation and use
The physiological reaction signal at family determines the focus of each evaluation user according to the physiological reaction signal of each evaluation user, in turn, according to
The focus of each evaluation user obtains the selecting result of player's performance.As a result, to evaluate the real-time physiological for being difficult to independently change letter
Number it is foundation, obtains selecting result perform player, ensure that the authenticity that performance is chosen.
In order to realize above-described embodiment, the invention also provides a kind of players to perform evaluating system, and Fig. 5 is according to the present invention
The player of one embodiment performs the structural schematic diagram of evaluating system, as shown in figure 5, the system further include: physiological reaction signal
Acquiring equipment and processor 200, wherein physiological reaction signal collecting device 100 and processor 200 connect,
Physiological reaction signal collecting device 100, for during player's performance, obtaining the physiological reaction of each evaluation user
Signal.
Processor 200, for determining the focus of each evaluation user according to the physiological reaction signal of each evaluation user, according to
The focus of each evaluation user obtains the selecting result of player's performance.
In one embodiment of the invention, as shown in fig. 6, processor 200 includes extraction unit 210 and extraction unit
220。
Wherein, it is extracted each for analyzing the physiological reaction signal of each evaluation user according to preset strategy extraction unit 210
Evaluate the absorbed characteristic information of user.
Acquiring unit 220 is calculated for absorbed characteristic information of the application preset algorithm to each evaluation user, is obtained each
Evaluate the focus of user.
In one embodiment of the invention, extraction unit 210 detects real-time physiological reaction signal greater than preset threshold
Number, which extracts, is absorbed in number.
In one embodiment of the invention, extraction unit 210 detects real-time physiological reaction signal greater than preset threshold
Time, which extracts, is absorbed in the time.
In one embodiment of the invention, extraction unit 210 detects real-time physiological reaction signal greater than preset threshold
Amplitude, which is extracted, is absorbed in intensity.
It should be noted that the aforementioned explanation for performing evaluating method embodiment to player is also applied for the embodiment
Player performs evaluating system, and player of the present invention performs unpub details in evaluating system embodiment, and details are not described herein again.
In conclusion the player of the embodiment of the present invention performs evaluating system, during player's performance, obtains each evaluation and use
The physiological reaction signal at family determines the focus of each evaluation user according to the physiological reaction signal of each evaluation user, in turn, according to
The focus of each evaluation user obtains the selecting result of player's performance.As a result, to evaluate the real-time physiological for being difficult to independently change letter
Number it is foundation, obtains selecting result perform player, ensure that the authenticity that performance is chosen.
In order to realize above-described embodiment, the present invention also proposes a kind of non-transitorycomputer readable storage medium, when described
Instruction in storage medium is performed by processor, is made it possible to execute the player as described in above-described embodiment and is performed evaluation and test side
Method.
In order to realize above-described embodiment, the present invention also proposes a kind of computer program product, when the computer program produces
When instruction processing unit in product executes, executes the player as described in above-described embodiment and perform evaluating method.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present invention, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium include the following: there is the electricity of one or more wirings
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.Such as, if realized with hardware in another embodiment, following skill well known in the art can be used
Any one of art or their combination are realized: have for data-signal is realized the logic gates of logic function from
Logic circuit is dissipated, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene can compile
Journey gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above
The embodiment of the present invention is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as to limit of the invention
System, those skilled in the art can be changed above-described embodiment, modify, replace and become within the scope of the invention
Type.
Claims (10)
1. a kind of player performs evaluating method, which comprises the following steps:
During player's performance, the physiological reaction signal of each evaluation user is obtained；
The focus of each evaluation user is determined according to the physiological reaction signal of each evaluation user；
The selecting result of player's performance is obtained according to the focus of each evaluation user.
2. the method as described in claim 1, which is characterized in that the physiological reaction signal according to each evaluation user is true
The focus of fixed each evaluation user, comprising:
The physiological reaction signal that each evaluation user is analyzed according to preset strategy extracts the absorbed feature of each evaluation user
Information；
It is calculated using absorbed characteristic information of the preset algorithm to each evaluation user, obtains the special of each evaluation user
Note degree.
3. method according to claim 2, which is characterized in that the life for analyzing each evaluation user according to preset strategy
Reaction signal is managed, the absorbed characteristic information of each evaluation user is extracted, comprising:
It detects the physiological reaction signal and is extracted greater than the number of preset threshold and be absorbed in number；And/or
It detects the physiological reaction signal and is extracted greater than the time of preset threshold and be absorbed in the time；And/or
It detects the physiological reaction signal and is extracted greater than the amplitude of preset threshold and be absorbed in intensity.
4. the method as described in claim 1, which is characterized in that the focus according to each evaluation user obtains player
The selecting result of performance, comprising:
The first average focus is obtained according to the real-time focus that evaluation user identifier extracts all specialized review users, extracts institute
There is the public real-time focus for evaluating user to obtain the second average focus, and extracts the real-time special of all media evaluation users
Note degree obtains third and is averaged focus；
Preset the first weight corresponding with the specialized review user is obtained, is weighed with the public evaluation user corresponding second
Weight, and third weight corresponding with media evaluation user；
Using preset algorithm to first weight and the first average focus, second weight and described second is averaged
Focus and the third weight and the third be averaged focus carry out calculate obtain player performance selecting result.
5. the method as described in claim 1-4 is any, which is characterized in that in the focus according to each evaluation user
After the selecting result for obtaining player's performance, further includes:
Obtain the physiological reaction signal of player；
The focus of the player is determined according to the physiological reaction signal of the player；
The selecting result is modified according to the focus of the player.
6. a kind of player performs evaluating system characterized by comprising physiological reaction signal collecting device and processor, wherein
The physiological reaction signal collecting device is connected with the processor, wherein
The physiological reaction signal collecting device, for during player's performance, obtaining the physiological reaction letter of each evaluation user
Number；
The processor, for determining being absorbed in for each evaluation user according to the physiological reaction signal of each evaluation user
Degree obtains the selecting result of player's performance according to the focus of each evaluation user.
7. system as claimed in claim 6, which is characterized in that the processor, comprising:
Extraction unit extracts each evaluation for analyzing the physiological reaction signal of each evaluation user according to preset strategy
The absorbed characteristic information of user；
Acquiring unit is calculated for absorbed characteristic information of the application preset algorithm to each evaluation user, described in acquisition
The focus of each evaluation user.
8. system as claimed in claim 7, which is characterized in that the extraction unit is specifically used for:
It detects the physiological reaction signal and is extracted greater than the number of preset threshold and be absorbed in number；And/or
It detects the physiological reaction signal and is extracted greater than the time of preset threshold and be absorbed in the time；And/or
It detects the physiological reaction signal and is extracted greater than the amplitude of preset threshold and be absorbed in intensity.
9. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the calculating
Machine program realizes that player a method as claimed in any one of claims 1 to 5 performs evaluating method when being executed by processor.
10. a kind of computer program product, which is characterized in that when the instruction in the computer program product is executed by processor
When, it executes player a method as claimed in any one of claims 1 to 5 and performs evaluating method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810636540.7A CN109144242A (en) | 2018-06-20 | 2018-06-20 | Player performs evaluating method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810636540.7A CN109144242A (en) | 2018-06-20 | 2018-06-20 | Player performs evaluating method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109144242A true CN109144242A (en) | 2019-01-04 |
Family
ID=64802122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810636540.7A Pending CN109144242A (en) | 2018-06-20 | 2018-06-20 | Player performs evaluating method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109144242A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6105132A (en) * | 1997-02-20 | 2000-08-15 | Novell, Inc. | Computer network graded authentication system and method |
| CN102318246A (en) * | 2007-03-07 | 2012-01-11 | 埃姆申塞公司 | A method and system for using coherence of biological responses as a measure of performance of a media |
| CN203242184U (en) * | 2013-04-03 | 2013-10-16 | 漳州师范学院 | Remote virtual teacher system for wireless mobile learning |
| CN104994409A (en) * | 2015-06-30 | 2015-10-21 | 北京奇艺世纪科技有限公司 | Media data editing method and device |
| CN105139695A (en) * | 2015-09-28 | 2015-12-09 | 南通大学 | EEG collection-based method and system for monitoring classroom teaching process |
| CN105893980A (en) * | 2016-04-26 | 2016-08-24 | 北京科技大学 | Method and system for evaluating concentration degree of attention |
| CN106156240A (en) * | 2015-04-27 | 2016-11-23 | 北京智谷睿拓技术服务有限公司 | Information processing method, information processor and subscriber equipment |
| CN106658043A (en) * | 2016-12-30 | 2017-05-10 | 广州华多网络科技有限公司 | Online scoring method and device in live channel |
-
2018
- 2018-06-20 CN CN201810636540.7A patent/CN109144242A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6105132A (en) * | 1997-02-20 | 2000-08-15 | Novell, Inc. | Computer network graded authentication system and method |
| CN102318246A (en) * | 2007-03-07 | 2012-01-11 | 埃姆申塞公司 | A method and system for using coherence of biological responses as a measure of performance of a media |
| CN203242184U (en) * | 2013-04-03 | 2013-10-16 | 漳州师范学院 | Remote virtual teacher system for wireless mobile learning |
| CN106156240A (en) * | 2015-04-27 | 2016-11-23 | 北京智谷睿拓技术服务有限公司 | Information processing method, information processor and subscriber equipment |
| CN104994409A (en) * | 2015-06-30 | 2015-10-21 | 北京奇艺世纪科技有限公司 | Media data editing method and device |
| CN105139695A (en) * | 2015-09-28 | 2015-12-09 | 南通大学 | EEG collection-based method and system for monitoring classroom teaching process |
| CN105893980A (en) * | 2016-04-26 | 2016-08-24 | 北京科技大学 | Method and system for evaluating concentration degree of attention |
| CN106658043A (en) * | 2016-12-30 | 2017-05-10 | 广州华多网络科技有限公司 | Online scoring method and device in live channel |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Schmidt et al. | Introducing wesad, a multimodal dataset for wearable stress and affect detection | |
| Udovičić et al. | Wearable emotion recognition system based on GSR and PPG signals | |
| CN112120716A (en) | Wearable multi-mode emotional state monitoring device | |
| CN110464314A (en) | Method and system are estimated using mankind's emotion of deep physiological mood network | |
| CN109298779A (en) | Virtual training System and method for based on virtual protocol interaction | |
| CN108078574A (en) | A kind of method for distinguishing people and intelligence machine | |
| Yu et al. | A hybrid user experience evaluation method for mobile games | |
| Lazzeri et al. | Can a humanoid face be expressive? A psychophysiological investigation | |
| Alhargan et al. | Affect recognition in an interactive gaming environment using eye tracking | |
| CN108319643A (en) | The evaluating method and system of multimedia messages | |
| CN108304458A (en) | According to the multimedia content method for pushing and system of user emotion | |
| CN110019853A (en) | Scene of interest recognition methods and system | |
| KR102015097B1 (en) | Apparatus and computer readable recorder medium stored program for recognizing emotion using biometric data | |
| CN109063954A (en) | The assessment method and system of teachers ' teaching | |
| CN105212949A (en) | A kind of method using skin pricktest signal to carry out culture experience emotion recognition | |
| CN109151576A (en) | Multimedia messages clipping method and system | |
| Clerico et al. | Biometrics and classifier fusion to predict the fun-factor in video gaming | |
| Handouzi et al. | Objective model assessment for short-term anxiety recognition from blood volume pulse signal | |
| Dhaouadi et al. | A multimodal physiological-based stress recognition: Deep Learning models’ evaluation in gamers’ monitoring application | |
| Meng et al. | Health and wellness monitoring using intelligent sensing technique | |
| CN107533365B (en) | Method for expressing social presence of virtual avatar using pupil size change depending on heartbeat and system applying the same | |
| CN108211311A (en) | The movement effects display methods and device of body-building action | |
| Soares et al. | Biofeedback sensors in electronic games: A practical evaluation | |
| Siqueira et al. | Estimating player experience from arousal and valence using psychophysiological signals | |
| Bardzell et al. | Making user engagement visible: a multimodal strategy for interactive media experience research |
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: 20190104 |
|
| RJ01 | Rejection of invention patent application after publication |