JP2019109631A - Information providing apparatus and information providing system - Google Patents

Abstract

To take advantage of a vital sensor.SOLUTION: An information providing apparatus comprises: an acquisition unit for acquiring biological information of a horse scheduled to run, obtained by a vital sensor; and an output control unit for outputting information including the biological information acquired by the acquisition unit to another apparatus.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a technique for providing information on horse racing.

  In recent years, vital sensors for acquiring biological information have been proposed (see, for example, Patent Document 1). Such vital sensors are used in techniques for measuring the health status of human working and exercising.

JP, 2016-22165, A

However, even so far, it has been difficult to say that vital sensors for acquiring biological information are sufficiently utilized.
In view of the above circumstances, the present invention aims to provide a technology that can utilize vital sensors.

  One aspect of the present invention is an acquisition unit for acquiring biological information of a horse scheduled to run, which is obtained by a vital sensor, and outputting information including the biological information acquired by the acquisition unit to another device. And an output control unit.

  One embodiment of the present invention is the information providing apparatus described above, further comprising an analysis unit that analyzes a race on which the horse is scheduled to run or the horse by using the biological information acquired by the acquisition unit. The output control unit may further output information indicating a result of the analysis performed by the analysis unit.

  In one aspect of the present invention, the horse is scheduled to go out by using an acquisition unit for acquiring biological information of a horse scheduled to run, obtained by a vital sensor, and the biological information acquired by the acquisition unit. It is an information provision device provided with the analysis part which performs analysis about a race or the horse, and the output control part which outputs the information which shows the result of the analysis performed by the analysis part to other devices.

  One embodiment of the present invention is the above-described information providing device, wherein the analysis unit further performs analysis using the image of the horse captured by an imaging device.

  One aspect of the present invention transmits, to a user terminal, an acquisition unit that acquires biological information of a horse scheduled to leave, which is acquired by a vital sensor, and information including the biological information acquired by the acquisition unit. And a communication unit.

  The present invention makes it possible to utilize vital sensors.

It is a schematic block diagram which shows the system configuration | structure of the information-provision system 100 of this invention. 5 is a schematic block diagram showing a specific example of a functional configuration of the information providing device 20. FIG. FIG. 6 is a diagram showing a specific example of a screen displayed on the user terminal 40. FIG. 6 is a diagram showing a specific example of a screen displayed on the user terminal 40. FIG. 6 is a diagram showing a specific example of a screen displayed on the user terminal 40. FIG. 6 is a diagram showing a specific example of a screen displayed on the user terminal 40. It is a sequence chart which shows the specific example of the flow of operation | movement of the information provision system 100. FIG. It is a figure which shows the structural example of the modification (information provision system 100a) of an information provision system.

Hereinafter, specific configuration examples of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic block diagram showing a system configuration of an information providing system 100 of the present invention. The information providing system 100 includes a vital sensor 10, an information providing device 20, a distribution server 30, and a user terminal 40. The vital sensor 10, the information providing device 20, the distribution server 30, and the user terminal 40 transmit and receive data by performing communication via the network 50.

  The vital sensor 10 acquires biological information of a horse (hereinafter referred to as a “target horse”) scheduled to participate in a horse race. The vital sensor 10 is attached to, for example, the body or equipment of a target horse. The biological information acquired by the vital sensor 10 may be anything. For example, biological information acquired by the vital sensor 10 is information indicating information related to life activity. Vital information is a signal indicating time-series changes such as the action potential of the heart of the target horse, the respiration activity of the target horse, and the blood pressure of the target horse. In this embodiment, a sensor that acquires the heart rate of a target horse as a vital signal is applied to the vital sensor 10.

  The vital sensor 10 transmits the acquired biological information to the information providing apparatus 20 via the network 50 in association with the identification information of the target horse (hereinafter referred to as “horse identification information”). A mechanism for transmitting the biological information acquired by the vital sensor 10 to the information providing device 20 may be constructed in any way. For example, the vital sensor 10 itself may have a communication function of connecting to the network 50. For example, the vital sensor 10 may have a wired or wireless communication function, and the vital sensor 10 may transmit biological information to the relay device. In this case, the relay device may transmit the biological information to the information providing device 20 via the network 50.

  The information providing device 20 performs analysis processing on a target horse and a race in which the target horse runs, based on the biological information acquired by the vital sensor 10. The information providing device 20 transmits the acquired biological information and analysis results to the distribution server 30 or the user terminal 40 via the network 50. A designer or operator of the information providing system 100 determines in advance to which apparatus the information providing apparatus 20 transmits information. It is desirable that the timing at which the information provision device 20 transmits information is such that it is possible for a user who intends to purchase a winning horse voting ticket to obtain this information before the start of the race.

  The distribution server 30 generates information to be provided to the user (hereinafter referred to as “provided information”) based on the analysis result provided from the information providing device 20. The distribution server 30 transmits data including the provided information to the user terminal 40. The distribution server 30 may transmit the provided information in a data format corresponding to the dedicated application installed in the user terminal 40, for example. The distribution server 30 may transmit the provided information to the browser installed in the user terminal 40, for example, in a data format described in a markup language. The distribution server 30 may transmit the provision information regardless of the request from the user terminal 40 at a predetermined timing, or may transmit the provision information in response to the request from the user terminal 40. The distribution server 30 may distribute the provided information by a broadcast wave received by the television receiver. For example, a person in charge such as an editor may edit the program so that the provided information is included in the information on the television program broadcasted by the broadcast wave, or the provided information may be distributed as data of data broadcasting. Further, provided information may be delivered by broadcast wave as information provided only to a predetermined user as a program delivered for a fee.

The user terminal 40 is a terminal device operated by a user, and is an information processing device capable of communication. The user terminal 40 is, for example, a device such as a personal computer, a smartphone, a tablet, a smart watch, and a smart speaker. The user terminal 40 outputs the received provision information to the user according to the operation of the user or the operation setting previously made by the user or the designer. The aspect of the output may be performed by, for example, display by an image output device, may be performed by audio output by a speaker, or may be another aspect.
As another aspect of the user terminal 40, there is a television receiver. In this case, the television receiver functioning as the user terminal 40 receives the broadcast wave and outputs the provided information to the user by displaying an image on the screen.

  The network 50 is a public communication network such as the Internet. The network 50 does not necessarily have to be configured using one network. For example, the network used when the vital sensor 10 communicates with the information providing device 20 and the network used when the information providing device 20 communicates with the distribution server 30 may be different networks. Further, when the user terminal 40 is configured as a television receiver as described above, the distribution server 30 and the user terminal 40 may be connected by a broadcast wave.

  FIG. 2 is a schematic block diagram showing a specific example of the functional configuration of the information providing device 20. As shown in FIG. The information providing device 20 includes a CPU (Central Processing Unit), a memory, an auxiliary storage device, and the like connected by a bus. The information providing apparatus 20 functions as an apparatus including a communication unit 21, a reference data storage unit 22, a learning result storage unit 23, and a control unit 24 by executing an information providing program. Note that all or part of the functions of the control unit 24 may be realized using hardware such as an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA). The information providing program may be recorded on a computer readable recording medium. Examples of the computer-readable recording medium include portable media such as flexible disks, magneto-optical disks, ROMs, CD-ROMs, semiconductor storage devices (for example, SSD: Solid State Drive), hard disks incorporated in computer systems, and semiconductor storage A storage device such as a device. The information provision program may be transmitted via a telecommunication line.

  The communication unit 21 is configured using a communication interface such as a network card. The communication unit 21 performs data communication with another device via the network 50.

  The reference data storage unit 22 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The reference data storage unit 22 stores reference data. The reference data is data used when the control unit 24 performs analysis processing. The reference data is biometric information to be compared with biometric information of a target horse. The reference data indicates the characteristics of biometric information obtained on the day of the won race, for example, from a horse that has won in a past race. The reference data may be biometric information obtained from a horse that has won in a past high-prize race. The reference data does not necessarily have to be the biological information itself, and may be information (hereinafter referred to as "characteristic information") indicating the characteristic of the biological information. Also, the reference data may further include information on the horse or race for which the biological information was obtained.

  The learning result storage unit 23 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The learning result storage unit 23 stores information indicating the learning result. The learning result stored in the learning result storage unit 23 is a combination of the ranking (or winning or losing result) of each horse in the past race and the biological information acquired on the day of the race for each horse as teacher data It is a learning result obtained by performing machine learning.

  The control unit 24 is configured using a processor such as a CPU. The control unit 24 functions as an acquisition unit 241, a learning unit 242, an analysis unit 243, and an output control unit 244 by executing an information providing program. Hereinafter, each function of the control unit 24 will be described.

  The acquiring unit 241 acquires biological information of a predetermined timing of a target horse acquired by the vital sensor 10. For example, when the analysis unit 243 is to analyze using the biological information one hour before the race, the acquisition unit 241 acquires the biological information of each target horse one hour before the race. Specifically, it is as follows. Acquisition part 241 may acquire living body information by receiving data of living body information transmitted from vital sensor 10 with which each target horse was equipped. The acquisition unit 241 may acquire biological information by communicating with the vital sensor 10 via the communication unit 21. The acquiring unit 241 may acquire biological information by reading data from a recording medium (for example, a USB memory) in which the biological information acquired by the vital sensor 10 is recorded. There is no need to limit the mode in which the acquiring unit 241 acquires biological information.

  The learning unit 242 executes a machine learning process. The learning unit 242 executes machine learning processing using, for example, teacher data acquired in advance. In this case, a machine learning technique for generating or updating a classifier by supervised learning is applied to the learning unit 242. Specific examples of machine learning techniques include SVM (Support Vector Machine) and DL (Deep Learning). The learning unit 242 generates or updates a classifier by performing a machine learning process based on a plurality of teacher data. The learning unit 242 records data such as a parameter representing the generated or updated classifier in the learning result storage unit 23. The teacher data used by the learning unit 242 is biological information acquired before the race about the horse won in the past race. For example, by performing analysis processing using the learning result of the learning unit 242, the possibility of each target horse winning in the race may be acquired as an analysis result based on the biological information of each target horse before the race. It will be possible.

  The analysis unit 243 acquires the provided information provided to the user as an analysis result by performing an analysis process using the biological information of each target horse before the race. Hereinafter, a specific example of analysis processing performed by the analysis unit 243 will be described.

(Similarity determination processing)
In the similarity determination process, the analysis unit 243 uses the reference data stored in the reference data storage unit 22 to obtain biological information between each target horse and another horse that has won a predetermined race in the past. Determine the similarity of The similarity of biological information may be determined in the following manner.

-A value indicating the closeness of the value of biological information (value of characteristic information) For example, when the heart rate is obtained as a value of biological information, the heart rate of each target horse and the heart rate of a horse won in a predetermined race in the past A value obtained by normalizing the difference between a statistical value (for example, an average value) of a number may be obtained as an analysis result.

-A value indicating the similarity of the pattern of biological information values (values of characteristic information) acquired at each of a plurality of predetermined timings before the race For example, 1 hour before the race, 2 hours before the race, 3 hours before the race When the heart rate is obtained as a value of biological information, the difference between the heart rate at each time of each target horse and the statistical value (for example, average value) of the heart rate at each time of a horse won in a predetermined race in the past May be calculated for each time, and a statistical value of the calculated value may be acquired as an analysis result. In this case, different weightings may be made for each time. The reference data used may be only data on the same race as that of the target horse, or only data on races whose conditions are similar to those of the target horse. Note that whether or not the conditions relating to the race are similar may be previously defined for each race by the designer. For example, each race may be classified according to items such as weather conditions (air temperature, weather), riding conditions, and travel distance, and races in which a predetermined number of conditions match may be defined as similar races.

-A value indicating the proximity of the value of the biological information (value of characteristic information) between the user-specified horse and each target horse For example, when the heart rate is obtained as the value of biological information, the heart rate of each target horse and the user A value obtained by normalizing the difference between the heart rate statistic (for example, the average value) obtained when the horse designated by the team won the race in the past may be obtained as the analysis result. In this case, the user can obtain, as the provided information, the similarity between the biometric information of the horse of his / her choice and the horse that feels strong, and the biometric information of each target horse. The similarity between the horse designated by the user and each target horse may be acquired as an analysis result regarding the values of the biological information acquired at each of a plurality of predetermined timings before the race.

(Windability determination process)
In the winning possibility determination process, the analysis unit 243 outputs the analysis result as to whether or not each target horse wins the race by using the data of the learning result stored in the learning result storage unit 23. For example, the analysis unit 243 may acquire, as an analysis result, a value indicating that each target horse may be the first in the race.

(Similar victory horse judgment processing)
In the similar winning horse determination process, by using the reference data stored in the reference data storage unit 22, the analysis unit 243 uses the reference data stored in the reference data storage unit 22 to identify which horse's biometric information and each target horse among horses that have won the race in the past. It analyzes whether it is similar to the biological information of. For example, when the target horse A is selected by the user, the analysis unit 243 stores the horse having the biological information most similar to the biological information of the selected horse A in the reference data storage unit 22 as reference data. Choose from Then, the analysis unit 243 acquires the name and information of the selected horse (for example, information of races that have won in the past) as an analysis result.

  The output control unit 244 outputs the biological information obtained by the acquisition unit 241 to another device. Further, the output control unit 244 outputs the analysis result obtained by the analysis unit 243 to another device. The output control unit 244 may generate markup language data for displaying a screen indicating biological information or an analysis result by operating as a WEB server, for example. In this case, the output control unit 244 may transmit data to the user terminal 40 using a communication protocol such as HTTP. The output control unit 244 may generate data indicating biological information or an analysis result according to a predetermined protocol. For example, the output control unit 244 may generate data according to a protocol such as GCM or APNs, and transmit the data to the user terminal 40. In this case, the output control unit 244 functions as a communication unit. The output control unit 244 may transmit data indicating biological information or an analysis result to the distribution server 30 that provides the user terminal 40 with information. In this case, the distribution server 30 functions as a communication unit.

FIG. 3 is a view showing a specific example of a screen displayed on the user terminal 40. As shown in FIG. In the example of FIG. 3, a screen is displayed when the user selects a horse named “XXX Teio” as the target horse. In the example of FIG. 3, the analysis unit 243 performs the similarity determination process. The top left of the screen shows the name of the target horse. At the bottom right of the screen is an image showing the subject horse. Under the name on the left side of the screen, information indicating "horse weight", "increase / decrease in horse weight", "heart rate 1 hour before race", and "biometric information similarity with the winning horse" is displayed in order It is done. The “heart rate one hour before the race” is an example of biological information acquired from a target horse. “Biometric information similarity to a winning horse” is information indicating the result of analysis processing performed by using biometric information of a horse that has won the race in the past as reference data. In the example of FIG. 3, a value of 84% is displayed. This value may be calculated, for example, by the following equation.
100-((((Valve information of target horse)-(reference data)) / reference data)

  The value of “biological information similarity with a winning horse” may be expressed as any value as long as the degree of coincidence between the reference data and the biological information of the target horse appears.

  FIG. 4 is a view showing a specific example of a screen displayed on the user terminal 40. As shown in FIG. In the example of FIG. 4, a screen is displayed when the user selects a horse named "XXX Teio" as the target horse and selects a horse named "YYY Queen" as the horse serving as the determination criterion of the similarity. There is. In the example of FIG. 4, the analysis unit 243 performs the similarity determination process. The top left of the screen shows the name of the target horse. At the bottom right of the screen is an image showing the subject horse. Under the name on the left side of the screen, "horse weight", "increase / decrease in horse weight", "heart rate 2 hours before race", "heart rate 1 hour before race", "YYY queen" Information indicating “information similarity” is displayed respectively. The “heart rate two hours before the race” and the “heart rate one hour before the race” are specific examples of biological information acquired from the target horse. “Biometric information similarity with YYY queen” is information indicating the result of analysis processing performed by using biometric information of a horse (YYY queen) selected by the user as reference data. In the example of FIG. 4, a value of 93% is displayed. This value may be calculated, for example, by the same process as the value of similarity shown in FIG.

  FIG. 5 is a view showing a specific example of a screen displayed on the user terminal 40. As shown in FIG. In the example of FIG. 5, a screen is displayed when the user selects a horse named "XXX Teio" as the target horse. In the example of FIG. 5, the analysis unit 243 performs a winning possibility determination process. The top left of the screen shows the name of the target horse. At the bottom right of the screen is an image showing the subject horse. Under the name on the left side of the screen, information indicating “horse weight”, “increase / decrease in horse weight”, “heart rate one hour before race”, and “wining possibility” is displayed in order. The heart rate “one hour before the race” is a specific example of the biological information acquired from the target horse. The “wining possibility” is an analysis unit 243 based on the learning result stored in the learning result storage unit 23. Is the value obtained by performing the winning possibility determination process, and in the example of Fig. 5, a value of 73% is displayed, which may be determined by any process, for example, When learning processing is performed by SVM, the boundary line between the classification of victory (first place) and the classification of non-win (not more than second place) is taken as a predetermined value (for example, 80%). It may be determined based on the distance to the information, for example, when the classification result of the biological information of the target horse is a victory, and the distance from the boundary is 50% when normalized by a possible value. Is calculated as 80 + 20 × 0.5 = 90 (%) There.

  FIG. 6 is a view showing a specific example of a screen displayed on the user terminal 40. As shown in FIG. In the example of FIG. 6, the screen when the user selects a horse named "XXX Teio" as the target horse is displayed. In the example of FIG. 6, the analysis unit 243 performs the similar winning horse determination process. The top left of the screen shows the name of the target horse. At the bottom right of the screen is an image showing the subject horse. Under the name on the left side of the screen, information indicating "horse weight", "increase / decrease in (horse weight)" and "similar horse" are displayed in order. Information on similar horses includes the name of the horse and information about the race the horse has won in the past.

  FIG. 7 is a sequence chart showing a specific example of the flow of the operation of the information providing system 100. First, the vital sensor 10 acquires biological information of a target horse at a predetermined timing (step S101). Next, the vital sensor 10 transmits the biological information to the information providing device 20 (step S102). The acquisition unit 241 of the information providing device 20 acquires the biological information transmitted from the vital sensor 10 (step S103). The analysis unit 243 executes an analysis process on the acquired biological information of the target horse (step S104). The output control unit 244 generates provision information including the analysis result of the analysis unit 243 (step S105). Then, the output control unit 244 outputs the generated provision information to another device. In the example of FIG. 7, the output control unit 244 transmits the provision information to the user terminal 40 (step S106). When the user terminal 40 receives the provided information from the information providing device 20, the user terminal 40 outputs the received provided information (step S107).

  In the information providing system 100 configured as described above, biometric information of the target horse is provided to the user. The user can consider what kind of winning horse ballot ticket to purchase based on the biometric information of each target horse entering the race. By using biometric information, it is possible to consider events that were difficult for the user to make decisions. For example, conventionally, information on the weight of a horse can be obtained by the user. However, even if the weight of the horse was changing, it was difficult to determine whether the change was due to stress or because the horse was in better condition. Such determination can be made more accurately than before by the user based on the biological information. In particular, when the information (for example, the pulse) related to the life activity of the target horse's body is provided as the biological information, it is possible to accurately determine the current physical condition of the target horse based on the information. Become. Furthermore, by performing analysis based on such biological information, it becomes possible to judge the physical condition of the target horse with higher accuracy.

  In addition, it has been possible in the past to judge the psychological state of a horse by actually seeing it in a paddock or the like, but it was very difficult to judge the appearance or the movement only by human eyes. With regard to such a problem, it is possible to determine the mental state (for example, whether it is calm or not) of the horse more accurately than in the past based on the biological information.

  Also, conventionally, for new horses and unwined horses, there was little information on past races that could be useful to predict, and it was difficult to predict. Therefore, in the races where these horses run, sales of winning horse voting tickets and the like were low. In response to such a problem, the user can judge the status and ability of each horse from a new viewpoint based on the biological information. For example, it is generally said that athletes and race horses generally have lower heart rates than humans and race horses having a general constitution. Therefore, it is possible to judge the strength of the race for new horses and unwined horses from this point of view. In the information provision system 100 of the present embodiment, it is possible to improve the user's interest and interest in such a race and to increase the sales of winning horse voting tickets.

  Further, in the information providing system 100, analysis processing is performed on the target horse, and the analysis result is provided to the user. For example, the similarity between the biometric information of the target horse and the biometric information of a horse that has won the race in the past is provided. Therefore, the user can obtain information on the possibility of winning the race based on the biological information even for the target horse whose details are not known. For example, the similarity between the biometric information of the target horse and the biometric information of the horse selected by the user is provided. Therefore, the user can obtain an interest or an affection about the target horse which does not know the details, based on the similarity to the horse which he / she is interested in. Also, by providing information on the possibility of winning of the target horse and other horses having similar biological information, it is possible to gain user interest and interest.

(Modification)
The biometric information of the horse acquired as reference data or teacher data need not be limited to the biometric information of the day of the race on which the horse has won. Biological information prior to a race day won by a horse, such as the day before the race, two days before the race, one week before, one race before, may be acquired as reference data or teacher data. In this case, the biological information of the subject horse also needs to be acquired in advance before the race day. And the analysis part 243 performs an analysis process by using the biometric information before the day of a race.

  The biometric information of a horse acquired as reference data or teacher data need not be limited to the biometric information of the winning (first-placed) horse. For example, biological information of horses in the first to third places may be used as reference data or teacher data, or biological information of a horse (a horse of the first to eighth places) that has won a prize may be used as reference data or teacher data. It may be used, or biometric information of all horses participating in the race may be used as reference data or teacher data. In this case, the analysis unit 243 does not analyze the probability of winning (possibility of taking the first place) for each target horse based on the reference data or the learning result, but also analyzes the possibility of becoming each rank. Good. For example, for each target horse, analysis processing is performed to provide information indicating the possibility of becoming the first place, information indicating the possibility of becoming the second place, and information indicating the possibility of becoming the third place as provided information. May be

  The analysis unit 243 may further analyze what kind of result will be obtained in each race (race result) based on the analysis result of the possibility that each horse will be ranked. For example, the predictions of horses that are ranked first to third may be analyzed.

  In addition to the biological information, analysis may be performed based on information on appearance and movement obtained based on a still image or a moving image of a target horse. FIG. 8 is a diagram showing a configuration example of a modification (information providing system 100a) of the information providing system configured as described above. The information providing system 100a further includes an imaging device 11 that captures the appearance of the target horse. The imaging device 11 may be a device that captures a still image, or may be a device that captures a moving image.

  The reference data storage unit 22 of the information providing device 20a in the information providing system 100a stores predetermined feature amounts obtained from a still image or a moving image as reference data in addition to the biological information. For example, feature amounts representing the posture of a horse may be stored as reference data. More specifically, values such as the angle of the nape of the neck and the angles of the four legs may be stored as reference data. For example, feature quantities representing horse movements may be stored as reference data. More specifically, a feature representing the motion of the neck of a horse or a feature representing the motion of a horse's leg may be stored as reference data.

  The learning unit 242 of the information providing device 20a in the information providing system 100a performs machine learning using the feature amount of the horse obtained from the image, such as the feature amount representing the posture of the horse or the feature amount representing the movement of the horse described above. Do. Data indicating the result of the machine learning performed by the learning unit 242 is stored by the learning result storage unit 23. The analysis unit 243 acquires a predetermined feature amount from the image of each target horse, and executes analysis processing based on the learning result stored in the learning result storage unit 23.

In the information providing system 100a configured as described above, analysis is performed based on the feature amount obtained from the image of the target horse in addition to the biological information. Therefore, it is possible to provide users with more accurate analysis results.
The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes design and the like within the scope of the present invention.

DESCRIPTION OF SYMBOLS 100 ... Information provision system, 10 ... Vital sensor, 11 ... Imaging device, 20 ... Information provision apparatus, 30 ... Distribution server, 40 ... User terminal, 50 ... Network, 21 ... Communication part, 22 ... Reference data storage part, 23 ... Learning result storage unit, 24 ... control unit, 241 ... acquisition unit, 242 ... learning unit, 243 ... analysis unit, 244 ... output control unit

Claims (5)

An acquisition unit for acquiring biological information of a horse scheduled to run, which is obtained by a vital sensor;
An output control unit that outputs information including the biological information acquired by the acquisition unit to another device;
An information providing apparatus comprising: The system further includes an analysis unit that analyzes a race on which the horse is scheduled to run or the horse by using the biological information acquired by the acquisition unit.
The information providing device according to claim 1, wherein the output control unit further outputs information indicating a result of the analysis performed by the analysis unit. An acquisition unit for acquiring biological information of a horse scheduled to run, which is obtained by a vital sensor;
An analysis unit that analyzes a race on which the horse is scheduled to run or the horse by using the biological information acquired by the acquisition unit;
An output control unit that outputs information indicating the result of the analysis performed by the analysis unit to another device;
An information providing apparatus comprising:   The information providing device according to claim 2, wherein the analysis unit further analyzes using the image of the horse captured by an imaging device. An acquisition unit for acquiring biological information of a horse scheduled to run, which is obtained by a vital sensor;
A communication unit that transmits information including the biological information acquired by the acquisition unit to a user terminal;
Information provision system provided with

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