JP6546129B2 - Influence map creation device, method thereof and program - Google Patents

Description

  The present invention relates to a technique for estimating whether presentation information such as an advertisement affects a target person such as a visitor.

  In digital signage, exhibitions, etc., it is better to be able to measure how many people are focusing attention on advertisements and exhibits, or to what extent they are affected. For example, it can be an index for measuring the advertising effect of digital signage and the ability to attract visitors to an exhibit, or an index for examining the effective placement of digital signage and exhibits.

  Patent Document 1 describes an apparatus for specifying an object to be identified, of which a specific person turns his or her eyes, from among a plurality of specified object candidates, using line-of-sight information.

JP, 2016-004376, A

  However, in Patent Document 1, it is not possible for a specific person to pay attention to a candidate to be identified and to accurately estimate whether the subject is affected by the candidate to be identified. In the following, a person who is estimated to be affected or not is also referred to as a target person. For example, it is conceivable that the target person pays attention to the sound (stimulation presented by hearing) presented separately while fixing the viewpoint to a certain candidate for identification (stimulation presented visually). In Document 1, the specified target is a specified target candidate located before the viewpoint is facing.

  In addition, it has been proposed to measure what is strongly affecting the subject among the candidates to be identified from the gaze time of the gaze of the subject, etc. However, as is clear from the above example, It is not clear whether the subject is affecting the subject, and it is impossible to handle anything presented other than visual such as sound.

  The present invention is an influence map creation device capable of estimating a subject who is affected from information presented by various perceptions including vision (hereinafter also referred to as presentation information) and visualizing the influence of the presentation information. It aims at providing the method and program.

In order to solve the above problems, according to one aspect of the present invention, the influence map creation device is intended to provide information inf _n that varies in different periods T _n is presented to the subject by the presentation unit n, N An influence target estimation unit that estimates the presentation information presented by any of the N presentation units n on the basis of the period T _n of the subject and the electroencephalogram data of the subject, And an influence map generation unit that displays the position of the person and the presentation unit that has influenced the subject person.

In order to solve the above problems, according to another aspect of the present invention, the influence map creation method is intended to provide information inf _n that varies in different periods T _n is presented to the subject by the presentation unit n, The influence target estimation unit estimates, based on the N periods T _n and the subject's electroencephalogram data, which of the N presentation units n is affected by the presentation information presented by the presentation unit. The influence target estimation step and the influence map generation step in which the influence map generation unit displays the position of the target person and the presentation unit that has influenced the target person are included.

  According to the present invention, it is possible to estimate a subject who is affected from presentation information and visualize the influence of the presentation information.

FIG. 2 is a functional block diagram of an influence map creation system according to the first embodiment. The figure which shows the example of the processing flow of the influence map preparation system which concerns on 1st embodiment. The figure which shows the example of an influence map. The functional block diagram of the influence map creation system which concerns on 2nd embodiment. The figure which shows the example of the processing flow of the influence map preparation system which concerns on 2nd embodiment. The figure which shows the example of an influence map. Diagram for explaining how to create an impact map. The functional block diagram of the influence map preparation system which concerns on 3rd embodiment. The figure which shows the example of the processing flow of the influence map preparation system which concerns on 3rd embodiment.

  Hereinafter, embodiments of the present invention will be described. In the drawings used in the following description, the same reference numerals are given to constituent parts having the same functions and steps for performing the same processing, and redundant description will be omitted.

First Embodiment
In the present embodiment, the influence that the subject's brain receives from the presented information is measured from the electroencephalogram. With such a configuration, it is possible to estimate the subject affected by the presentation information and the range to which the presentation information affects. In the specification of the present application, the electroencephalogram data includes the waveform of the electroencephalogram itself, the intensity of a specific frequency component extracted from the waveform of the electroencephalogram (this includes the intensity of the α wave, the β wave, the γ wave, etc.) It is assumed that at least one or more pieces of information are included among the paragraphs [0003] in reference 1), statistics obtained by statistically processing these, and the like.
(Reference 1) Japanese Patent Application Laid-Open No. 2010-233720

  FIG. 1 shows a functional block diagram of an influence map creating system according to the first embodiment, and FIG. 2 shows its processing flow.

  The influence map creation system 100 includes a living body measurement apparatus 110 attached to a subject, N presentation units 120-n, N periodic information storage units 121-n, and an influence map creation apparatus 130. However, it is assumed that n = 1, 2,..., N, and N is any integer of 2 or more.

  The living body measurement apparatus 110 includes a position information acquisition unit 111 and an electroencephalogram measurement unit 112.

  The influence map creation device 130 includes a reception unit 131, a correction data storage unit 132, an influence target estimation unit 133, and an influence map creation unit 134.

  In the present embodiment, when the guidance is displayed on a plurality of screen displays (N presentation units 120-n), which screen display (presentation units 120-n ', but when , N ′ is any of 1, 2,..., N, and indicates an example in which a presentation part estimated to affect the subject is affected and determined and mapped.

<Position information acquisition means 111 and electroencephalogram measurement means 112>
The position information acquisition unit 111 acquires position information pos (t) indicating the current position of the position information acquisition unit 111 itself (S111). For example, position information pos (t) is acquired by a GPS sensor. Here, t is an index indicating continuous time or discrete time. As a method of acquiring the position information pos (t), any existing position acquisition technique may be used, and an optimum method may be appropriately selected according to the usage environment and the like.

  The electroencephalogram measurement means 112 includes an apparatus for measuring the electroencephalogram of the subject, and its interface device. For example, the electroencephalogram measurement means 112 measures the weak potential generated by the brain activity of the subject from the probe electrode attached to the head of the subject, and acquires the electroencephalogram data egg (t) (S112). In the present embodiment, it is assumed that the intensities of frequency components of 8 Hz to 20 Hz are sent at a resolution of 0.25 Hz as electroencephalogram data egg (t). As the method of electroencephalogram measurement, any existing electroencephalogram measurement technique may be used, and an optimum one may be appropriately selected according to the use environment and the like.

  The living body measurement apparatus 110 transmits the acquired electroencephalogram data egg (t) and the position information pos (t) to the influence map generation apparatus 130 via a transmission unit (not shown).

<Receiver 131>
The receiving unit 131 receives the position information pos (t) and the electroencephalogram data egg (t) sent from the living body measurement apparatus 110 (S131), and outputs the position information pos (t) to the influence map generating unit 134. The brain wave data egg (t) is output to the influence target estimation unit 133.

  The communication method between the transmission unit (not shown) and the reception unit 131 of the living body measurement apparatus 110 may use any existing communication method technology, and an optimum communication method may be appropriately selected according to the usage environment and the like.

<Presentation unit 120-n and period information storage unit 121-n>
The N periodic information storage units 121-n are connected to the N presentation units 120-n, respectively. Period information storage unit 121-n holds in advance presentation information and modulation information to be output to presentation unit 120-n, and outputs presentation information obtained by modulating the presentation information based on the modulation information to presentation unit 120-n. (S121). For example, in the present embodiment, since the presentation unit 120-n is a screen display, video information is held as presentation information, and the luminance information is modulated based on the modulation information and output. The modulated presented information, also referred to as presentation information inf _n that changes at a period T _n, the period T _n is equivalent to the modulation information.

For example, the cycle information storage unit 121-1 holds 10 Hz in advance as modulation information, and outputs presentation information inf ₁ obtained by applying 10 Hz intensity modulation to luminance to the presentation unit 120-1. The modulation information is information including the frequency of modulation, a period equivalent to the frequency, and the like. Similarly period information storing section 121-2 in the holds in advance the 11Hz as the modulation information, and outputs the presentation information inf ₂ times the intensity modulation of 11Hz to the luminance on the presentation unit 120-2.

As described above, the N cycle information storage units 121-n modulate the presentation information inf _n output from the corresponding presentation unit 120-n toward the subject according to the predetermined modulation information. Generate. The modulation of the N periodic information storage units 121-n uses different modulations such as changing the frequency, for example. In this case, the presentation information inf _n of N varies with different periods T _n.

The N presentation units 120-n are devices that present stimuli to a subject. For example, in the present embodiment, since the guidance is displayed by a plurality of screen displays (N presentation units 120-n), the screen displays correspond to the presentation units 120-n. Presentation unit 120-n outputs the presentation information inf _n input from the corresponding period information storing section 121-n, presenting (S120).

<Correction data storage unit 132>
Since the electroencephalogram data egg (t) has a large individual difference, correction may be necessary. The correction data storage unit 132 is a database in which brain wave data necessary for the correction is stored in advance, and outputs the correction brain wave data egg _cor to the influence target estimation unit 133 when necessary.

For example, the correction data storage unit 132 holds correction electroencephalogram data obtained from electroencephalogram data of one that is not influenced by the presentation information inf _n . For example, the subject and the subject, attaching a biometric device 110, N pieces of correction brain wave data to store electroencephalogram data transmitted from the presentation unit 120-n to the receiving section 131 to a time that does not output the stimulus egg _cor You may use as. Further, electroencephalogram data acquired in advance by the same or different electroencephalogram measurement means 112 may be stored as corrected electroencephalogram data egg _cor . If it is difficult to obtain the corrected electroencephalogram data egg _cor by the above-mentioned method, average electroencephalogram data obtained from a plurality of subjects may be stored and used as the corrected electroencephalogram data egg _cor . In this embodiment, a time when the output of the presentation unit 120-n is not output is made in advance, and the average value (average of each frequency component) of the brain wave data sent to the reception unit 131 in that time zone _I hold it as _cor .

<Affected object estimation unit 133>
The influence target estimation unit 133 is sent from the brain wave data egg (t) sent from the reception unit 131, the correction brain wave data egg _cor sent from the correction data storage unit 132, and the N cycle information storage units 121-n. _Given N periodic information T _n as input, based on these values, whether the subject's brain is strongly affected by the presentation information presented by which presentation part among N presentation parts 120-n Is estimated (S133), and the estimation result eff (t) is output to the influence map generation unit 134. In this embodiment, the difference between the brain wave data egg (t) sent from the receiving unit 131 (in this example, the average of each frequency component of the brain wave data) and the frequency component of the correction brain wave data egg _cor is calculated. It is estimated that the subject's brain is affected by the stimulation of the presentation unit 120-n ′ modulated by the same frequency as the strongest frequency component. For example, when the 11 Hz component of the subject's electroencephalogram data is the largest, the information that it is influenced by the presentation unit 120-2 (for example, assuming that the presentation unit 120-n ′ is expressed by the index n ′, the estimation result eff ( t) = 2 = n ') is sent to the influence map creation unit 134.

<Influence map creation unit 134>
The influence map generation unit 134 receives the position information pos (t) from the reception unit 131, receives the estimation result eff (t) from the influence object estimation unit 133, and detects the position information pos (t) of the object person and the object person Display the affected presentation units 120-n '(for example, n' = eff (t)), in other words, an influence map indicating which position the subject is affected by the stimulation from which presentation unit Map (t) is created (S 134) and output. For example, the influence map map (t) is output to a display or the like and displayed. For example, position information pos (t) is associated with a two-dimensional position, and the case where affected by presentation unit 120-1 is plotted as ○, and the case where affected by presentation unit 120-2 is plotted as ● (see FIG. 3). ).

<Effect>
According to the above configuration, it is possible to estimate a subject who is affected from the presentation information presented by a certain presentation unit, and visualize the influence of the presentation unit and the presentation information. According to the present embodiment, electroencephalogram data egg (t) and position information pos (t) are simultaneously obtained from the subject, and the brain of the subject is presented from the electroencephalogram data egg (t) and the modulation information (period T _n ) By estimating whether it is affected by an object and combining it with the position information pos (t) of the object, it is possible to associate the position of the object and the presentation affecting the brain at that position.

<Modification>
In the present embodiment, an example of the influence target estimation by the frequency component is shown for explanation, but the means of the influence target estimation is not limited to this and is used in the field of brain computer interface (BCI) You may use each method which utilized the phenomenon of Visual evoked potential (VEP) (refer to reference 2). In the field of BCI, many attempts have been made to present stimuli obtained by modulating a plurality of visual stimuli at different positions on a screen display, and to estimate a gaze point from modulation information and electroencephalogram data. Such a method can be used as it is as a configuration of a combination of the electroencephalogram data egg (t), the period information storage unit 121-n, and the influence target estimation unit 133.
(Reference 2) Nicolas-Alonso, Luis Fernando, and Jaime Gomez-Gil. "Brain computer interfaces, a review." Sensors 12.2 (2012): 1211-1279.

  In the present embodiment, the presentation information is presented visually, but even information presented by other perceptions (hearing, smell, taste, touch, etc.) affects the brain. It is possible to estimate which presentation is present and visualize the influence of the presentation unit and the presentation information.

Second Embodiment
Description will be made focusing on parts different from the first embodiment.

  In this embodiment, measurement is performed from M viewers (targets) in a situation where music with different beats flows as BGM from N speakers at the exhibition hall, and the range in which each BGM can actually affect the brain Take the case where you want to measure However, M is any integer of 1 or more, and m = 1, 2,.

  FIG. 4 shows a functional block diagram of the influence map creation system according to the second embodiment, and FIG. 5 shows its processing flow.

  The influence map creating system 200 includes M biological measurement devices 210-m attached to M subjects, N presenting units 220-n, and N periodic information storage units 221-n, respectively. And an influence map generation device 230.

  The living body measurement apparatus 210-m includes a position information acquisition unit 211-m, an electroencephalogram measurement unit 212-m, and an ID storage unit 213-m.

  The influence map creation device 230 includes a reception unit 231, a correction data storage unit 232, an influence target estimation unit 233, and an influence map creation unit 234.

<Biometric device 210-m>
Each of the M biometric devices 210-m is attached to M subjects.

  The processing contents of the position information acquisition unit 211-m and the electroencephalogram measurement unit 212-m are the same as the processing contents (S111 and S112) of the position information acquisition unit 111 and the electroencephalogram measurement unit 112 of the first embodiment, respectively. The output value of the position information acquisition unit 211-m is pos (m, t), and the output value of the electroencephalogram measurement unit 212-m is egg (m, t).

  In the ID storage unit 213-m, the identifier ID (m) of the subject m to which the living body measurement device 210-m is attached is stored.

  The living body measurement apparatus 210-m transmits the acquired electroencephalogram data egg (t), the position information pos (t), and the identifier ID (m) to the influence map generation apparatus 230 via a transmission unit (not shown).

<Receiver 231>
The receiving unit 231 receives the position information pos (m, t), the electroencephalogram data egg (m, t) and the identifier ID (m) sent from the living body measurement apparatus 210 (S231), and the position information pos (m) , t) and the identifier ID (m) to the influence map creation unit 234, and the brain wave data egg (m, t) and the identifier ID (m) to the influence target estimation unit 233.

<Presentation unit 220-n and period information storage unit 221-n>
The N periodic information storage units 221-n are connected to the N presentation units 220-n, respectively. The period information storage unit 221-n holds in advance the music (the presentation information inf _n ) to be output to the presentation unit 220-n and the beat of the music (a value equivalent to the frequency f _n or the period T _n ) Are output to the presentation unit 220-n, and the beat is output to the influence target estimation unit 233. The music reproduced by the N presentation units 220-n has different beats.

  In the present embodiment, since the beats of the music itself output by the N presentation units 220-n are different, there is no need to modulate the presentation information based on the modulation information. However, as in the first embodiment, modulation information may be provided separately from the presentation information including sound stimulation, and processing may be performed to modulate the presentation information based on the modulation information. For example, in the present embodiment, since the presentation unit 220-n is a speaker or the like, music is held as presentation information, and the volume information is modulated and output. In the first embodiment, as in the present embodiment, a video that changes periodically may be used as the presentation information, and the process of performing modulation processing based on the modulation information may not be performed.

The N presentation units 220-n are devices that present sound stimuli to a subject. For example, a speaker etc. are included. The presentation unit 220-n outputs and presents the music (presentation information inf _n ) input from the corresponding cycle information storage unit 221-n (S220).

<Correction data storage unit 232>
In the present embodiment, the correction data storage unit 232 holds the correction electroencephalogram data for each identifier ID (m) of the subject. Therefore, the corrected electroencephalogram data is expressed as egg _cor (m). The method of acquiring the corrected electroencephalogram data egg _cor (m) is the same as that of the first embodiment. However, instead of storing and using the average electroencephalogram data acquired from a plurality of subjects as the corrected electroencephalogram data egg _cor , the average electroencephalogram data acquired from the subject m is corrected as the electroencephalogram data egg _cor (m) Save and use.

Note that average electroencephalogram data acquired from a plurality of subjects may be stored and used as the correction electroencephalogram data egg _cor . In that case, it is not necessary to hold the corrected electroencephalogram data for each identifier ID (m) of the subject.

<Affected object estimation unit 233>
The influence target estimation unit 233 takes M identifiers ID (m) sent from the reception unit 231 as input, and corrects M correction electroencephalogram data egg _cor (m) respectively corresponding to M identifiers ID (m). It takes out from the data storage part 232. The influence target estimation unit 133 also receives M brain wave data egg (m, t) sent from the reception unit 231 and N beats sent from the N cycle information storage units 221-n. Based on these values and the M corrected EEG data egg _cor (m), the brain of the subject m is strongly influenced by the presentation information presented by any of the N presentation units 220-n. Are estimated (S233), and M estimation results eff (m, t) are output to the influence map generation unit 234. For example, the influence target estimation unit 133 calculates the difference between the electroencephalogram data egg (m, t) and the corresponding corrected electroencephalogram data egg _cor (m) ( _{linked by the} identifier ID (m)). In the present embodiment, as in the first embodiment, the difference for each frequency component is calculated. It is assumed that the subject's brain is strongly influenced by the music (BGM, presentation information inf _n ) output by the periodic information storage unit 221-n holding the beat where the frequency at which the difference is maximum is the same as the multiple component It estimates and outputs the estimation result eff (m, t) and the corresponding identifier ID (m) to the influence map creation unit 234. When all M subjects obtain data normally, a pair of M identifiers ID (m) and estimation results eff (m, t) is sent in one process. If data can not be normally obtained from part or all of the M subjects, only the pair for which data is normally obtained may be sent or may not be sent at all. Also, only the pairs for which data can not be obtained normally are repeatedly subjected to estimation processing, and when M pairs are finally arranged, M identifiers ID (m) and estimation results eff (m, t + q _m ) may be output. q _m indicates the number of repetitions of the estimation process for the subject m. In the following description, a case where data can be normally obtained from M subjects in a single process will be described.

<Influence map creation unit 234>
The influence map generation unit 234 receives the M pieces of position information pos (m, t) and the identifier ID (m) from the reception unit 231, and the M estimation results eff (m, t) and the identifiers from the influence target estimation unit 233. Receive the ID (m). Then, the influence map creation unit 234 associates the position information pos (m, t) with the estimation result eff (m, t) based on the identifier ID (m). As a result, it is influenced by the output of which presentation unit 220-n '(for example, n' = eff (m, t)) at which position m (the position corresponding to the position information pos (m, t)) You can get the correspondence between From this correspondence relationship, it is possible to know in which range the subject person affected by the presentation unit 220-n ′ exists at a certain moment t.

  The influence map generation unit 234 displays the position information pos (m, t) of the target person m and the presentation unit 220-n ′ that has affected the target person m, in other words, M target persons m An influence map indicating which position pos (m, t) is influenced by the stimulus from which presentation unit 220-n ′ is created (S234) and output. For example, the influence map map (t) is output to a display or the like and displayed. For example, position information pos (m, t) is associated with a two-dimensional position, and the case where affected by presentation unit 220-1 is plotted as ○, and the case where affected by presentation unit 220-2 is plotted as ● (Figure 6).

In addition, the influence map creation unit 234 may accumulate and visualize this correspondence data over time. In the present embodiment, a method of creating an influence map for each of the presentation units 220-n will be described for the sake of explanation.
First, a diffusion filter is prepared so that the display is not pulled by specific data and the display is not entirely crushed (see FIG. 7).

  Next, it is assumed that position information pos (m, t) = [x (m, t), y (m, t)] and estimation result eff (m, t) are obtained at time t with respect to the subject person m.

  At this time, when creating an influence map regarding the presentation unit 220-1, position information pos (m, t) of the estimation result eff (m, t) when the influence of the presentation unit 220-1 is estimated to be the strongest is Data is extracted from the "influence map on the presentation unit 220-1" by the size of the diffusion filter at the center, and the extracted ones and the diffusion filter are added and averaged, and the corresponding portion on the "influence map on the presentation unit 220-1" Overwrite. By performing this on the output of time t of some or all of the subjects, it is possible to create an “influence map related to the presentation unit 220-1”.

Each "influence map concerning the presentation unit 220-n" created by the above method may be displayed in gray scale on a separate screen, or color information may be added for each presentation unit 220-n and superimposed. , May be displayed on one screen. For example, it may be displayed on one screen using the technology of heat map display of reference 3.
(Reference 3) "Heat map", [online], Wikipedia, [July 7, 2016 search], Internet <URL: https://en.wikipedia.org/wiki/%E3%83%92% E3% 83% BC% E3% 83% 88% E3% 83% 9E% E3% 83% 83% E3% 83% 97>

<Effect>
With such a configuration, the same effect as that of the first embodiment can be obtained. Furthermore, according to the second embodiment, a large number of estimation results eff (m, t) of estimating the presentation unit that has influenced the target person m from a large number of people and the position information pos (m, t) of the target person m By doing this, it is possible to know which range the presentation units 220-n can affect the human brain standing up in. Also, by visualizing this, it is possible to intuitively grasp. In addition, you may combine this embodiment and the modification of 1st embodiment.

<Modification>
The influence target estimation unit 233 uses any of the N presentation units n based on the N periods T _n and the subject's electroencephalogram data by a method other than the method described in the present embodiment. It may be estimated whether it is affected by the presentation information presented by. For example, a technique as shown in reference 4 may be applied to estimate which presentation information the subject m's brain is affected by which presentation information.
(Ref. 4) Nozaradan, Sylvie, et al., "Tagging the neural entrainment to beat and meter", The Journal of Neuroscience 31.28 (2011)

Third Embodiment
Description will be made focusing on parts different from the second embodiment.

  In the third embodiment, it is assumed that (1) an example in the case of acquiring data using visible light communication technology, and (2) a case in which the display object can not be directly modulated in an art museum etc. Here is an example of adding.

  FIG. 8 shows a functional block diagram of an influence map creating system according to the third embodiment, and FIG. 9 shows its processing flow.

  The influence map creation system 300 includes M biological measurement devices 310-m attached to M subjects, N presentation units 320-n, and N cycle information storage units 321-n, respectively. And an influence map creation device 330.

  The living body measurement apparatus 310-m includes an electroencephalogram measurement unit 212-m, an ID storage unit 213-m, and a light emitting unit 311-m.

  The influence map creation device 330 includes a reception unit 331, a correction data storage unit 232, an influence target estimation unit 233, and an influence map creation unit 234.

<Light emitting unit 311-m>
The living body measurement apparatus 310-m in the present embodiment does not have the position information acquisition unit 211-m. The living body measurement apparatus 310-m in this embodiment separates (two) light emission from the electroencephalogram data obtained by the electroencephalogram measurement means 212-m and the identifier ID (m) stored in the ID storage unit 213-m. Convert to a signal.

The light emitting unit 311-m receives the electroencephalogram data egg (m, t) obtained by the electroencephalogram measurement means 212-m and the identifier ID (m) stored in the ID storage unit 213-m, and based on this signal Flashes and emits light (S311). The living body measurement apparatus 310-m transmits a light emission signal by blinking of the light emitting unit 311-m. For example, the light emitting unit 311-m includes one LED and blinks based on the blink pattern signal. For example, the light emitting unit 311-m is attached to the subject m to which the electroencephalogram measurement means 212-m is attached. With such a configuration, it is possible to visually and easily express to which subject m the blinking pattern signal indicated by the light emitting unit 311-m is information. For the conversion of the light emission signal, for example, a technique as described in Reference 5 may be used.
(Reference 5) Since the light emitting position of the light emitting unit 311-m of JP 2013-229779A is interpreted as the position information pos (m, t) of the subject m by the receiving unit 331, the light emitting unit 311-m It is desirable to be near the subject.

  The configurations and processing contents of the ID storage unit 213-m and the electroencephalogram measurement means 212-m are the same as those in the second embodiment.

<Receiver 331>
The receiving unit 331 of the present embodiment includes a unit capable of receiving a light emission signal. For example, an image sensor is included, and the light emission signal emitted by the M light emitting units 311-m is received (S311), and electroencephalogram data egg (m, t) and the identifier ID (m) are decoded and acquired from the light emission signal. . In addition, from the position where the receiving unit 331 is installed and the position of the light emitting unit 311-m on the image data (image) obtained from the image sensor of the receiving unit 331, the target person m who attached the living body measuring device 310-m Estimate the position pos (m, t). The position pos (m, t) may be estimated using any existing position estimation technique, and an optimal method may be selected appropriately according to the usage environment and the like.

  The receiving unit 331 outputs the position information pos (m, t) and the identifier ID (m) to the influence map creating unit 234, and the electroencephalogram data egg (m, t) and the identifier ID (m) to the influence target estimating unit 233. Output.

  The configurations and processing contents of the correction data storage unit 232, the influence map generation unit 234, and the influence target estimation unit 233 are the same as those in the second embodiment.

<Exhibit 322-n, presentation unit 320-n, period information storage unit 321-n>
The N exhibits 322-n are works of art that can not be illuminated by themselves, and are targets that the subject directly looks at and the brain is affected.

In the present embodiment, the presentation unit 320-n refers to illumination such as a spotlight that illuminates the exhibit 322-n, and the N presentation units 320-n illuminate the displayed exhibition 322-n. Incidentally, exhibits illuminated by the illumination corresponds to the presentation information inf _n.

In the present embodiment, the N period information storage units 321-n control the brightness of the illumination of the corresponding presentation units 320- _n to change according to the predetermined period information T _n . For example, the cycle information storage unit 321-n holds in advance modulation information to be output to the presentation unit 320-n, and transmits to the presentation unit 320-n a control signal for controlling the brightness of the light modulated based on the modulation information. It outputs (S321). For example, in the present embodiment, since the presentation unit 320-n is an illumination, the luminance information of the illumination is modulated based on the modulation information, and is output. As described above, exhibits illuminated by the illumination corresponds to the presentation information inf _n, presentation information inf _n has changed its brightness with a period T _n. The modulation of the N period information storage units 321-n uses different modulation such as changing the frequency, for example. In this case, the presentation information inf _n of N varies with different periods T _n.

<Effect>
With such a configuration, the same effect as that of the second embodiment can be obtained. Furthermore, according to the third embodiment, it is possible to estimate whether the display affects the brain even for a presentation (exhibit) which can not be visually presented by direct modulation. Moreover, there is an advantage that it is not necessary to incorporate a position information acquisition means in living body measurement device 310-n by using visible light communication. In addition, you may combine this embodiment and the modification of 1st embodiment.

<Other Modifications>
The present invention is not limited to the above embodiments and modifications. For example, the various processes described above may be performed not only in chronological order according to the description, but also in parallel or individually depending on the processing capability of the apparatus that executes the process or the necessity. In addition, changes can be made as appropriate without departing from the spirit of the present invention.

<Program and Recording Medium>
In addition, various processing functions in each device described in the above-described embodiment and modification may be realized by a computer. In that case, the processing content of the function that each device should have is described by a program. By executing this program on a computer, various processing functions in each of the above-described devices are realized on the computer.

  The program describing the processing content can be recorded in a computer readable recording medium. As the computer readable recording medium, any medium such as a magnetic recording device, an optical disc, a magneto-optical recording medium, a semiconductor memory, etc. may be used.

  Further, this program is distributed, for example, by selling, transferring, lending, etc. a portable recording medium such as a DVD, a CD-ROM or the like recording the program. Furthermore, the program may be stored in a storage device of a server computer, and the program may be distributed by transferring the program from the server computer to another computer via a network.

  For example, a computer that executes such a program first temporarily stores a program recorded on a portable recording medium or a program transferred from a server computer in its own storage unit. Then, at the time of execution of the process, the computer reads the program stored in its storage unit and executes the process according to the read program. In another embodiment of the program, the computer may read the program directly from the portable recording medium and execute processing in accordance with the program. Furthermore, each time a program is transferred from this server computer to this computer, processing according to the received program may be executed sequentially. In addition, a configuration in which the above-described processing is executed by a so-called ASP (Application Service Provider) type service that realizes processing functions only by executing instructions and acquiring results from the server computer without transferring the program to the computer It may be Note that the program includes information provided for processing by a computer that conforms to the program (such as data that is not a direct command to the computer but has a property that defines the processing of the computer).

  In addition, although each device is configured by executing a predetermined program on a computer, at least a part of the processing content may be realized as hardware.

Claims (6)

It shall be presented to the subject presenting information inf _n that varies in different periods T _n is the presentation unit n, based on the N number of periods T _n and the subject's brain wave data, of the N presentation unit n An influence target estimation unit that estimates which presentation information is affected by which presentation unit;
An influence map generation unit that displays the position of the subject and a presentation unit that has influenced the subject;
Influence map creation device. The influence map creation device according to claim 1, wherein
It includes a correction data storage unit that holds correction electroencephalogram data obtained from electroencephalogram data although it is not affected by the presentation information inf _n ,
The influence target estimation unit includes: the corrected electroencephalogram data; EEG data of the subject affected by presentation information presented by any one of the N presentation units n; Estimate the influence of the presentation information presented by any one of the N presentation units n using the number of periods T _n ,
Influence map creation device. The influence map creation device according to claim 2, wherein
M is any integer greater than or _{equal to} 1 and m = 1, 2,..., M, and the correction data storage unit is obtained from the brain wave data of the subject m who is not affected by the modulated presentation information inf _n Hold the corrected EEG data,
The influence target estimation unit is an electroencephalogram of the subject m who is affected by the corrected electroencephalogram data of the subject m and the presentation information presented by any one of the N presentation units n. Using the data and the N periods T _n , it is estimated which of the N presentation units n are affected by the presentation information presented by the presentation unit,
The influence map generation unit displays a presentation unit n and the position of a subject who is affected by the presentation information inf _n .
Influence map creation device. The influence map creation device according to any one of claims 1 to 3, wherein
The presentation unit n is a light,
The presentation information inf _n is an exhibit illuminated by illumination whose brightness changes at different periods T _n ,
Influence map creation device. Different periods T _n presentation information inf _n that changes are intended to be presented to the subject by the presentation unit n, the influence object estimation section, based on the brain wave data of N cycles T _n and the subject, the N An influence target estimation step of estimating which one of the presentation units of the presentation unit n is affected by the presented information;
An influence map generation step including an influence map generation step of displaying the position of the target person and a presentation portion that has influenced the target person;
Impact map creation method.   A program for causing a computer to function as the influence map creation device according to any one of claims 1 to 4.

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