JP6895143B2 - Event success analysis system, server, biometric information acquisition device, event success analysis method and program - Google Patents

Description

The present invention relates to an event succession analysis system, a server, a biometric information acquisition device, an event succession analysis method and a program.

Attempts have been made to sense human heart rate, blood pressure, etc. and utilize them in various fields such as sports and health management.

As an example, a recommendation technique has been proposed in which biometric information of a user who is viewing a certain content is acquired, the mental state of the user is analyzed, and the content recommended for the user is determined (Patent Document 1). Specifically, the mental state data acquired for an individual is correlated with the mental state data collected from other people who have experienced the first media representation, and the second media is recommended for that individual. It's a technology.

Japanese Patent Publication No. 2014-511620

However, the technology of Patent Document 1 pays attention to each individual who views the content with respect to one content, and the overall success level (how exciting) of the content when many people watch and participate in the content. I didn't pay attention to it.

On the other hand, in recent years, not only concerts of singers, talents, voice actors, writers, cartoonists, handshake events, autograph sessions, etc., but also sports competition events such as the Olympic Games and the World Cup of soccer have been held. , Many people participate in the event. Then, there was a request to objectively grasp how successful the event was.

Therefore, the present invention has been invented in view of the above problems, and an object of the present invention is an event prosperity analysis system, a server, a biometric information acquisition device, and an event prosperity that can objectively grasp the event prosperity. The purpose is to provide an analysis method and a program.

One aspect of the present invention is a participant biometric information acquisition means, which is attached to each participant participating in a predetermined event and acquires the participant biometric information which is information on the biological state of the participant, and the participant biometric. The success level of the event is analyzed based on the participant biometric information collecting means for collecting the participant biometric information of each participant acquired by the information acquisition means and the participant biometric information collected by the participant biometric information collecting means. It is an event success degree analysis system having an analysis means to perform.

One aspect of the present invention is attached to each participant participating in a predetermined event, and is attached to each participant to acquire participant biometric information which is information on the biological state of the participant. It is a server having a participant biometric information collecting means for collecting participant biometric information and an analysis means for analyzing the success of the event based on the participant biometric information collected by the participant biometric information collecting means.

One aspect of the present invention is a living body that is attached to at least each participant participating in the event and acquires biological information which is information on the biological state of the participant in order to analyze the success level of the predetermined event. It is a biometric information acquisition device having an information acquisition means and a transmission means for transmitting the acquired biometric information to a server that analyzes the degree of success.

One aspect of the present invention is to acquire participant biometric information, which is information on the biological condition of a participant, from a participant biometric information acquisition means attached to each participant participating in a predetermined event, and to obtain the participant biometric information. This is an event prosperity analysis method that collects the participant biometric information of each participant acquired by the biometric information acquisition means and analyzes the prosperity of the event based on the collected participant biometric information.

One aspect of the present invention is a process of collecting participant biometric information, which is information on the biological condition of the participant, acquired by the participant biometric information acquisition means attached to each participant participating in a predetermined event. This is a program that causes an information processing apparatus to execute a process of analyzing the success of the event based on the collected participant biometric information.

According to the present invention, it is possible to objectively grasp the degree of success of an event.

FIG. 1 is a diagram for explaining an outline of the configuration of an event success level analysis system according to the first embodiment of the present invention. FIG. 2 is a diagram showing an example of the participant biometric information acquisition unit 3. FIG. 3 is a block diagram of the wristband type sensor 30. FIG. 4 is a diagram showing an example of another configuration of the participant biometric information acquisition unit 3. FIG. 5 is a block diagram of the server 4. FIG. 6 is a diagram for explaining an outline of the configuration of the event success level analysis system according to the second embodiment of the present invention. FIG. 7 is a block diagram of the server 4. FIG. 8 is a diagram showing an example of visualization information. FIG. 9 is a diagram for explaining an outline of the configuration of the event success level analysis system according to the third embodiment of the present invention. FIG. 10 is a diagram for explaining an event success level analysis system according to a third embodiment of the present invention. FIG. 11 is a diagram showing an example of another configuration of the participant biometric information acquisition unit 3. FIG. 12 is a diagram showing an embodiment by a server program.

<First Embodiment>
The event success degree analysis system according to the first embodiment of the present invention will be described.

The feature of the event success level analysis system according to the first embodiment of the present invention is to acquire and collect biometric information of each participant participating in a predetermined event, and based on the collected biometric information of the participants. , It is characterized by analyzing the success of the event.

FIG. 1 is a diagram for explaining an outline of the configuration of an event success level analysis system according to the first embodiment of the present invention.

In FIG. 1, 1 is an event participant and 2 is an event performer. Here, events are not only concerts of singers, talents, voice actors, writers, cartoonists, handshake events, autograph sessions, but also sports competitions such as the Olympic Games and the World Cup of soccer, and local public. It refers to national events such as festivals and world expositions held by groups and local communities. In addition, the participants of the event are the spectators of the event and the like, and the concept does not include the performers who appear in the event.

2 is the performer of the event.

Reference numeral 3 denotes a participant biometric information acquisition unit that is held or worn by each participant 1 and acquires participant biometric information that is information on the biological condition of the participant 1. Here, the biological information is at least one of the electrocardiogram, heart rate, blood pressure, sweating state, electroencephalogram, acceleration, line of sight, pupil diameter, calories burned, body temperature change, blood glucose level, voice volume or timbre of the participant 1. Point to one. In particular, the heart rate, acceleration, and voice volume obtained from Participant 1 increase when the excitement of Participant 1 increases, the heart rate rises, the body shakes greatly, and the volume of voice also increases. It is effective in measuring the rise. In addition, these heart rate, acceleration, and voice volume are also advantageous in that they can be easily obtained from a heart rate monitor, an acceleration sensor, and a microphone worn by the participants.

As an example of the participant biometric information acquisition unit 3, there is a wristband type sensor 30 as shown in FIG. As shown in FIG. 3, the wristband type sensor 30 includes a heart rate monitor 31 that measures the heart rate of participant 1, an accelerometer 32 that measures acceleration such as shaking of the body of participant 1, and a microphone / volume meter. Participant biometric information, which will be described later, is collected from 33, the heart rate of participant 1 measured by the heart rate monitor 31, the acceleration measured by the accelerometer 32, and the volume of participant 1 measured by the microphone / volume meter 33. It has a transmission unit 34 for transmitting to the server 4. With such a wristband type sensor 30, it is easy for each participant 1 to hold or wear it, and it does not impose a burden on each participant 1.

The configuration of the participant biometric information acquisition unit 3 is not limited to the above configuration. For example, as shown in FIG. 4, the participant biometric information acquisition unit 3 may be configured from the wristband type sensor 30 and the mobile terminal (for example, the smartphone 35) owned by the participant 1. In this case, the wristband type sensor 30 and the smartphone 35 are configured to transmit and receive participant biometric information according to a short-range wireless communication standard for digital devices such as Bluetooth. Then, the smartphone 35 may be configured to receive the participant biometric information transmitted from the wristband type sensor 30 and transmit the received participant biometric information to the server 4.

Further, when the participant biometric information acquisition unit 3 transmits the participant biometric information, the participant biometric information may be transmitted by adding time-dependent data such as a time stamp and the transmission time of the participant biometric information. In this case, it is useful to obtain a change in the degree of success over time.

4 is a server. As shown in FIG. 5, the server 4 is collected by the participant biometric information collection unit 41 that collects the participant biometric information of each participant acquired by the participant biometric information acquisition unit 3 and the participant biometric information collection unit 41. It is provided with an analysis unit 42 that analyzes the success of the event based on the participant's biological information.

The participant biometric information collecting unit 41 collects the participant biometric information of each participant transmitted from each participant biometric information acquisition unit 3 of each participant.

The analysis unit 42 analyzes the success level of the event based on the collected biometric information of the participants. For example, examples of the degree of success include the average value (for example, arithmetic mean, geometric mean) of statistical participant biometric information whose population is the total number of participants, and the standard deviation value. Specifically, when the participant biometric information is the participant's heart rate, the average value obtained by dividing the total value of the collected heart rates of all the participants by the total number of participants may be used as the degree of success. Similarly, for the acceleration, the average value obtained by dividing the total value of the accelerations of all the participants by the total number of participants may be used as the degree of success. Similarly, as for the volume, the average value obtained by dividing the total value of the volumes of all the participants by the total number of participants may be used as the degree of success. When data over time is added to the participant biometric information, the degree of success may be used as a moving average. In addition, when data over time is added to the participant biometric information, the relationship between the elapsed time of the event and the degree of success may be output. Further, the collected participant biometric information may be transformed and normalized based on a certain rule, and the degree of success may be obtained from the normalized information. In addition, the degree of success obtained from the collected participant biometric information may be normalized.

Further, the analysis unit 42 may analyze the degree of success by machine learning. In machine learning, the correlation between the participant biometric information and the success level collected in advance as a sample is machine-learned, and the correlation between the participant biometric information and the success level is stored. In the machine learning here, it is preferable to perform learning using some teacher information (participant biometric information collected in advance as a sample and the degree of success collected in advance as a sample), but a machine without teacher information. It may be learning.
Further, the analysis unit 42 may analyze the degree of success by combining the above-mentioned statistical method and machine learning.

Next, the operation of the event success level analysis system according to the first embodiment will be described.

First, each participant 1 of the event wears the participant biometric information acquisition unit 3.

When the event is started, the participant biometric information acquisition unit 3 worn by each participant 1 acquires the biometric information of the participant 1. The acquired biometric information of the participant 1 is transmitted to the server 4.

The participant biometric information collection unit 41 of the server 4 collects the biometric information of each participant 1 transmitted from the participant biometric information acquisition unit 3 of each participant 1. Then, the analysis unit 42 analyzes the success level of the event based on the collected biometric information of the participants.

According to the event success level analysis system according to the first embodiment, the success level of the event can be objectively grasped.

<Second embodiment>
The event success degree analysis system according to the second embodiment of the present invention will be described.

The feature of the event success level analysis system according to the second embodiment of the present invention is to provide visualization information that visualizes the success level analyzed by the event success level analysis system according to the second embodiment. And.

FIG. 6 is a diagram for explaining an outline of the configuration of the event success level analysis system according to the second embodiment of the present invention.

In the event success level analysis system according to the second embodiment of the present invention, in addition to the event success level analysis system according to the first embodiment, the display unit 5 that displays visualization information that visualizes the event success level. Has.

Further, as shown in FIG. 7, the server 4 has a visualization information providing unit 43 that provides the display unit 5 with visualization information that visualizes the success level of the analyzed event.

The visualization information is not only text according to the degree of success (for example, "It's exciting !!" displayed on the display unit 5 in FIG. 7), but also an effect image (for example, it becomes gorgeous when the degree of success is high). (Image), there is a production by a laser beam that becomes gorgeous when the degree of success is high.

The visualization information providing unit 43 is configured to prepare visualization information (content) according to the degree of success in advance and output the visualization information (content) corresponding to the degree of success. For example, the analysis unit 42 normalizes the degree of success, and in the case of the degree of success A, the text "I'm not energetic" is output, and in the case of the degree of success B, the text "It's getting more and more exciting!" Is output. In the case of C, the text "It's exciting !!" is output. The visualization information (content) output in this way is displayed on the display unit 5.

Further, when the biometric information is collected together with the time information, the visualization information providing unit 43 analyzes the degree of success in chronological order and outputs the visualization information of the degree of success in a graph format as shown in FIG. good. As such an application example, the set list or event schedule of the event can be associated with the success level of the participants and announced as the success level ranking during the event.

Further, the output destination of the visualization information of the visualization information providing unit 43 is not limited to the display unit 5 installed at the event, and may be output as, for example, a computer for the staff of the event or as a document at a later date.

According to the event prosperity analysis system according to the second embodiment, by visualizing the prosperity of the event, the participants, performers, and other related parties of the event can visually recognize the prosperity of the event. Can be done.

<Third embodiment>
The event success level analysis system according to the third embodiment of the present invention will be described.

The feature of the event success level analysis system according to the third embodiment of the present invention is that, in addition to the event success level analysis system according to the first or second embodiment, the biometric information of the performers of a predetermined event ( Hereinafter, the performer's biometric information) is acquired and collected, and the degree of success of the event is analyzed based on the collected participant biometric information and the performer's biometric information.

FIG. 9 is a diagram for explaining an outline of the configuration of the event success level analysis system according to the third embodiment of the present invention.

In the event success level analysis system according to the third embodiment, the performer 2 also wears the performer biometric information acquisition unit 6 having the same configuration as the participant biometric information acquisition unit 3. Then, the performer biometric information acquisition unit 6 transmits the acquired performer biometric information to the server 4. Since the performer biometric information acquisition unit 6 has the same configuration as the participant biometric information acquisition unit 3, detailed description thereof will be omitted.

The analysis unit 42 of the server 4 analyzes the success level of the event based on the collected participant biometric information and performer biometric information. At this time, the performer biometric information can be treated in the same manner as the participant biometric information, but the performer biometric information and the participant biometric information are treated differently, for example, the performer biometric information is treated more than the participant biometric information. For example, weigh heavily. Further, the performer biometric information and the participant biometric information may be treated separately, and the degree of success of each may be calculated. In this way, it is possible to recognize the difference in the degree of success between the participant 1 and the performer 2.

According to the event success level analysis system according to the third embodiment, the success level of the performer for the event can be grasped by collecting the biological information of the performer in addition to the participants.

<Fourth Embodiment>
The event success level analysis system according to the fourth embodiment of the present invention will be described.

The feature of the event success level analysis system according to the fourth embodiment of the present invention is that in addition to the event success level analysis system according to the first embodiment, in addition to the biometric information of the performers of the predetermined event. It is characterized in that the participant attributes of the participants are also acquired and collected, and the success level of the event is analyzed based on the collected participant biometric information and the participant attributes.

As a means for realizing the fourth embodiment, as shown in FIG. 10, a wristband type sensor 30 and a mobile terminal (for example, a smartphone 35) owned by the participant 1 are used.

As shown in FIG. 11, the smartphone 35 includes a receiving unit 51, a time acquisition unit 51, a participant attribute information storage unit 52, and a transmitting unit 53.

In the receiving unit 51, the smartphone 35 and the wristband type sensor 30 are paired according to a short-range wireless communication standard for digital devices such as Bluetooth, and receive the participant biometric information from the wristband type sensor 30.

The time acquisition unit 51 acquires the time when the participant biometric information is received from the wristband type sensor 30 or the time when the participant biometric information is transmitted to the server 4.

Participant attribute information storage unit 52 stores participant attribute information (hereinafter, participant attribute information). Has been done. For example, the participant attribute information includes the gender and age of the participants participating in the event, the favorite performers, and the like. The smartphone 35 may be provided with a ticket function for participating in the event, and the participant attribute information may be registered and stored for the registration of the ticket.

The transmission unit 53 transmits the received participant biometric information, the time information acquired by the time acquisition unit 51, and the participant attribute information stored in the participant attribute information storage unit 52 to the server 4.

It is preferable that a dedicated application is installed on the smartphone 35 for pairing of the smartphone 35 and the wristband type sensor 30 and acquisition of participant biometric information and time information.

The analysis unit 42 of the server 4 analyzes the received participant biometric information for each participant attribute information. For example, the participant's biological information is analyzed for each gender, and the degree of success is obtained for each gender. In this way, it is possible to analyze the degree of success of an event, such as that women are excited about the event but men are not yet excited.

In addition, since time information is also acquired, it is possible to analyze the degree of success of events related to attributes and time.

As an application example when using participant attribute information, when sending a thank-you email for participating in an event at a later date, change the content of the thank-you email for each performer you like according to the degree of success. can do. For example, for the fans of performer A, if the degree of success is normal, the description will be "Let's get more excited this time!", And if the degree of success is high, the description will be "It was really exciting today!" It becomes the content.

In the above-described embodiment, each part is configured by hardware, but it can also be configured by a program that causes an information processing unit (CPU) to perform the above-described operation processing.

For example, all or part of the server 4 can be realized by a computer system including memories 100 and 101 and a CPU 200, as shown in FIG.

In this case, the memory 100 stores a program that performs processing corresponding to the participant biometric information collecting unit 41, the analysis unit 42, and the visualization information providing unit 43 described above. Visualization information (contents) according to the degree of success is stored in the memory 101. Then, when the CPU 200 executes the program stored in the memory 100, the same function as that of the server 4 described above is realized.

Although the present invention has been described above with reference to preferred embodiments, the present invention is not necessarily limited to the above embodiments, and can be variously modified and implemented within the scope of the technical idea.

1 Participant 2 Performer 3 Participant biometric information acquisition unit 4 Server 5 Display unit 6 Performer biometric information acquisition unit 30 Wristband type sensor 31 Heart rate monitor 32 Accelerometer 33 Accelerometer 33 Microphone / volume meter 34 Transmitter 35 Smartphone 41 Participant biometric Information collection unit 42 Analysis unit 43 Visualization information provision unit 50 Reception unit 51 Time acquisition unit 52 Participant attribute information storage unit 53 Transmission unit 100 Memory 101 Memory 200 CPU

Claims (7)

Participant biometric information acquisition means that is attached to each participant participating in a predetermined event and acquires participant biometric information that is information on the biological condition of the participant.
Wherein owned by each participant, the attribute information of the participant is stored, the acquired participant biometric information of the participant from the participant biometric information obtaining means, obtains the participant biometric information of the participant A transmission means for transmitting the participant's attribute information stored as
Participant biometric information collecting means for collecting participant biometric information and attribute information of each participant, and
Using the participant biometric information and attribute information of each participant collected by the participant biometric information collecting means, the participant biometric information is analyzed for each attribute information of the participant, and for each attribute information of the participant. It said to have the analysis means asking you to success of the event,
The success level of the event for each attribute information of the participant is used to create the document content of the message to be sent to the participant corresponding to the attribute information after the event ends.
The document content is different depending on the success of the event for each attribute information of the participant.
Event success analysis system. The analysis means analyzes the prosperity of the event in consideration of the time course of the biological information.
The event success level analysis system according to claim 1. The biometric information is at least one of the participant's or performer's electrocardiogram, heart rate, blood pressure, sweating state, electroencephalogram, acceleration, line of sight, pupil diameter, calories burned, body temperature change, blood glucose level, voice tone, and voice volume. The event success level analysis system according to claim 1 or 2. It is attached to each participant participating in a predetermined event, paired with a participant biometric information acquisition means for acquiring the participant biometric information, which is information on the biological condition of the participant, and the attribute information of the participant is stored. Participant biometric information collection means for collecting participant biometric information and attribute information of each participant from each mobile terminal,
Using the participant biometric information and attribute information of each participant collected by the participant biometric information collecting means, the participant biometric information is analyzed for each attribute information of the participant, and for each attribute information of the participant. It has an analysis means for obtaining the success of the above-mentioned event.
The success level of the event for each attribute information of the participant is used to create the document content of the message to be sent to the participant corresponding to the attribute information after the event ends.
The document content is different depending on the success of the event for each attribute information of the participant.
server. The analysis means analyzes the prosperity of the event in consideration of the time course of the biological information.
The server according to claim 4. Participants biometric information obtaining means mounted to each participant participating in predetermined event acquires a participant biometric information, which is information of the biological condition of the participants,
The mobile terminal owned by each participant and storing the attribute information of the participant acquires the participant biometric information of the participant from the participant biometric information acquisition means, and the acquired participant of the participant. The biometric information and the stored attribute information of the participant are transmitted, and
The information processing device collects the participant biometric information and attribute information of each participant from the mobile terminal.
The information processing device uses the collected participant biometric information and attribute information of each participant to analyze the participant biometric information for each participant's attribute information, and for each participant's attribute information. Seeking the success of the event,
The success level of the event for each attribute information of the participant is used to create the document content of the message to be sent to the participant corresponding to the attribute information after the event ends.
The document content is different depending on the success of the event for each attribute information of the participant.
Event success analysis method. It is attached to each participant participating in a predetermined event, paired with a participant biometric information acquisition means for acquiring the participant biometric information, which is information on the biological condition of the participant, and the attribute information of the participant is stored. Processing to collect participant biometric information and attribute information of each participant from each mobile terminal
Using the participant biometric information and attribute information of each participant collected, the participant biometric information is analyzed for each participant's attribute information, and the degree of success of the event for each participant's attribute information is determined. to execute the processing and obtaining the information processing apparatus,
The success level of the event for each attribute information of the participant is used to create the document content of the message to be sent to the participant corresponding to the attribute information after the event ends.
The document content is different depending on the success of the event for each attribute information of the participant.
program.

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