KR102370407B1 - System for providing marine sports mileage service based on multiple rewarding system marine sports mileage service - Google Patents

Abstract

A system for providing marine sports mileage service based on a multi-species compensation system is provided, and it is linked with at least one wearable device to output activity data collected from at least one wearable device, and when registered in at least one marine sports program, user information, registration A user terminal that uploads the program and activity data, at least one wearable device interlocked with the user terminal, and a register for mapping and registering user information, registration cost, difficulty, active population, A storage unit for loading and storing at least one parameter including age and gender, country and region, and season and mapping it with user information, activity data collected from at least one wearable device, and a reward previously mapped to at least one parameter and stored and a mileage service providing server including a calculation unit that applies the system to pay mileage.

Description

Marine sports mileage service provision system based on multiple compensation system

The present invention relates to a system for providing a mileage service for marine sports based on a multi-species compensation system, and provides a platform that can use the mileage of a pre-stage program for a later stage program so that it can lead to each stage program of marine sports.

In addition to the recent increase in interest in marine sports, the Ministry of Oceans and Fisheries conducts marine sports experience classes every year through local governments and private organizations to improve public health, encourage positive leisure activities, and spread opportunities to experience marine sports. It is very important to predict the behavioral characteristics of participants for the continuous participation and re-participation of marine sports participants, which are rapidly increasing due to the efforts of the government and local governments. The Theory of Reasoned Action, which is most often used as a theoretical basis for predicting human behavior, is based on subjective norms and perceived Attitudes influence behavior through behavioral intentions. However, the Theory of Planned Behavior, which is an extension of the rational behavior theory that human will cannot control and control behavior alone, and that the concept of perceived behavior control must be added to explain this situation, has been proposed. .

At this time, a platform for monitoring and encouraging human physical activity and physical activity was researched and developed. Patent No. 2018-0113796 (published on October 17, 2018), monitors and tracks athletic and non-athletic activities through at least one device, and rewards users in free currency to encourage users to continue various activities. The configuration of payment and the target amount of physical activity allocated to each device are set, the amount of physical activity data is collected and compared or combined with the physical activity of others, and the possibility of achieving the user’s target amount of physical activity is provided to the user terminal, and the user can When the amount of physical activity is achieved, a configuration for encouraging and inducing physical activity by paying a product or service-related reward to a user terminal is disclosed, respectively.

However, in Leisure Facilitation to promote marine sports, considering factors that form or promote leisure preferences and strengthen or encourage leisure participation, not only rewards for physical activity, but also personal and interpersonal facilitation Although physical activity continues based on various factors composed of , environmental promotion, and compensation for this, the effect of inducing physical activity is insignificant because compensation is not made or not considered. The resistance for a person who did not engage in water sports in the beginning to enter water sports is much greater than that of a person who has already gone through several stages of water sports and moves on to the next stage. Therefore, if the various reward systems for each stage are not considered and diversified, the effect of leisure promotion by the reward system will inevitably be negligible. Accordingly, research and development of a platform that promotes leisure by establishing various reward systems based on human behavior analysis algorithms is required.

An embodiment of the present invention provides marine mileage to a person who enjoys marine leisure sports using GPS information and a behavior analysis algorithm, but activity data, program cost, program composition, program difficulty, age and gender, activity period, frequency The Leisure Facilitation system is provided to promote marine sports by establishing a compensation system according to various factors such as multi-program use, season, country/region, etc., and the rewarded mileage is used for the next stage of marine leisure sports. It is possible to provide a method of providing marine sports mileage service based on a multiple reward system, which provides a platform for accumulating and using marine leisure sports mileage that can be used. However, the technical task to be achieved by the present embodiment is not limited to the technical task as described above, and other technical tasks may exist.

As a technical means for achieving the above-described technical problem, an embodiment of the present invention is linked to at least one wearable device to output activity data collected from at least one wearable device, and to register in at least one marine sports program If applicable, a user terminal for uploading user information, registered programs and activity data, and at least one wearable device interlocked with the user terminal and a register for mapping and registering user information, registration fee for marine sports programs applied for registration from the user terminal , difficulty, active population, age and gender, country and region, and a storage unit for loading at least one parameter including the season and mapping it with user information and storing it, activity data collected from at least one wearable device, and at least one parameter and a mileage service providing server including a calculation unit that pays mileage by applying the previously mapped and stored compensation system.

According to any one of the above-described problem solving means of the present invention, the marine mileage is given to a person who enjoys marine leisure sports using GPS information and a behavior analysis algorithm, but activity data, program cost, program composition, program difficulty, age, and By establishing a compensation system based on various factors such as gender, activity period, frequency, use of multiple programs, season, country/region, etc., the Leisure Facilitation system is provided to promote marine sports, and the rewarded mileage is then It provides a platform for the accumulation and use of mileage for marine leisure sports that can be used for marine leisure sports.

1 is a diagram for explaining a system for providing a marine sports mileage service based on a multi-species compensation system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a mileage service providing server included in the system of FIG. 1 .
3 and 4 are diagrams for explaining an embodiment in which a multi-type compensation system-based marine sports mileage service according to an embodiment of the present invention is implemented.
5 is an operation flowchart illustrating a method of providing a multi-species reward system-based marine sports mileage service according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated, and one or more other features However, it is to be understood that the existence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded in advance.

The terms "about", "substantially", etc. to the extent used throughout the specification are used in or close to the numerical value when manufacturing and material tolerances inherent in the stated meaning are presented, and are intended to enhance the understanding of the present invention. To help, precise or absolute figures are used to prevent unfair use by unconscionable infringers of the stated disclosure. As used throughout the specification of the present invention, the term "step of (to)" or "step of" does not mean "step for".

In this specification, a "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be implemented using two or more hardware, and two or more units may be implemented by one hardware. Meanwhile, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or to reproduce one or more processors. Thus, as an example, '~' denotes components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

Some of the operations or functions described as being performed by the terminal, apparatus, or device in the present specification may be performed instead of by a server connected to the terminal, apparatus, or device. Similarly, some of the operations or functions described as being performed by the server may also be performed in a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal means mapping or matching the terminal's unique number or personal identification information, which is the identification data of the terminal. can be interpreted as

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a view for explaining a system for providing a marine sports mileage service based on a multi-species compensation system according to an embodiment of the present invention. Referring to FIG. 1 , the multiple reward system-based marine sports mileage service providing system 1 includes at least one user terminal 100 , a mileage service providing server 300 , at least one company terminal 400 , at least one The wearable device 500 may be included. However, since the multi-type compensation system-based marine sports mileage service providing system 1 of FIG. 1 is only an embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 .

At this time, each component of FIG. 1 is generally connected through a network 200 . For example, as shown in FIG. 1 , at least one user terminal 100 may be connected to the mileage service providing server 300 through the network 200 . In addition, the mileage service providing server 300 may be connected to at least one user terminal 100 , at least one company terminal 400 , and at least one wearable device 500 through the network 200 . In addition, at least one company terminal 400 may be connected to the mileage service providing server 300 through the network 200 . In addition, the at least one wearable device 500 may be connected to the at least one user terminal 100 and the mileage service providing server 300 through the network 200 .

Here, the network refers to a connection structure in which information exchange is possible between each node, such as a plurality of terminals and servers, and an example of such a network includes a local area network (LAN), a wide area network (WAN: Wide Area Network), the Internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, wired and wireless television networks, and the like. Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), 5th Generation Partnership Project (5GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi (Wi-Fi) , Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC ( Near-Field Communication) networks, satellite broadcast networks, analog broadcast networks, Digital Multimedia Broadcasting (DMB) networks, and the like are included, but are not limited thereto.

In the following, the term at least one is defined as a term including the singular and the plural, and even if the at least one term does not exist, each element may exist in the singular or plural, and may mean the singular or plural. it will be self-evident In addition, that each component is provided in singular or plural may be changed according to embodiments.

The at least one user terminal 100 may be a terminal of a user who uses at least one type of marine sports using a web page, an app page, a program, or an application related to a multi-species compensation system-based marine sports mileage service. At this time, the types of marine sports include cruise, swimming, hopping, yacht, yoking, yacht tour, underwater leisure, diving, surfing, paddle boat, kayak, rafting, dinghy yacht, skin scuba, yacht glamping (Yacht). Galmping), but is not limited thereto. In addition, the at least one user terminal 100 may be a terminal receiving mileage when using at least one marine sports program. In this case, when at least one user terminal 100 is linked with the wearable device 500 , it may be a terminal that receives mileage based on the sensed data detected by the wearable device 500 , for example, it moves more Or it may be a terminal that receives more mileage when more motion or acceleration is detected. In addition, when the GPS is located in a preset area using the GPS of at least one user terminal 100 , the terminal may be a terminal receiving mileage according to the area. For example, when participating in an overseas yacht glamping program than participating in a domestic yacht glamping program, local mileage, that is, mileage received by being located abroad may be greater. The mileage accumulated in this way may be used when participating in the next marine sports program. The next program may be configured to use the designated program when the first-choice program is selected by the mileage service providing server 300 , and can be configured so that any marine sports program can be used when the designated-forward program is not designated.

Here, the at least one user terminal 100 may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop. In this case, the at least one user terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one user terminal 100 is, for example, as a wireless communication device that guarantees portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) terminal, a smart phone, a smart pad, a tablet PC, etc. may include all kinds of handheld-based wireless communication devices.

The mileage service providing server 300 may be a server that provides a multi-class compensation system-based marine sports mileage service web page, an app page, a program, or an application. In addition, the mileage service providing server 300 may be a server that receives registration of a marine sports program from at least one company terminal 400 . Here, the mileage service providing server 300 may receive detailed information such as difficulty, price, location, number of people, period, time, configuration, etc. of the marine sports program together and form a database, which is then transferred to the user terminal 100 for mileage It can be used as reference data when paying And, when the mileage service providing server 300 applies for and proceeds with the marine sports program in the user terminal 100, the mileage is obtained by extracting data such as the difficulty, period, cost, and time of the marine sports program requested by the user. It may be a server that calculates and collects acceleration data collected from the wearable device 500 of the user terminal 100, collects user activity data, and then pays mileage corresponding thereto. In addition, the mileage service providing server 300 may be a server that sets a precedence relationship for each marine sports program. For example, if user C proceeds with program A like MindMap, and can proceed with program B and program D using the skills learned in program A, then programs such as A->B, A->D You can configure the network. Also, if we can proceed with program E and F, and if we can proceed with program G and H, if we proceed with program B, then A->B->E, A->B->F A map such as , A->D->G, A->D->H is created. In this case, the mileage received by user C after executing the B water sports program can be used for the E program and the F program. Of course, it is not excluded or excluded from the case where the precedence relationship is not determined or the use of the mileage regardless of the order.

Here, the mileage service providing server 300 may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop.

The at least one company terminal 400 may be a terminal of a company that provides a marine sports program using a web page, an app page, a program or an application related to a multi-species compensation system-based marine sports mileage service. In addition, the at least one company terminal 400 may be a terminal for uploading detailed program information corresponding to at least one parameter to the mileage service providing server 300 . In addition, the at least one company terminal 400 may be a terminal that receives the application event via the mileage service providing server 300 and processes the application when the user terminal 100 applies for the program.

Here, the at least one company terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop. In this case, the at least one company terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one company terminal 400, for example, as a wireless communication device that guarantees portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) terminal, a smart phone, a smart pad, a tablet PC, etc. may include all kinds of handheld-based wireless communication devices.

At least one wearable device 500 may be a device based on wireless power transfer technology. In this case, the wireless power transmission technology refers to a technology for wirelessly supplying power to electronic devices without a power line. This technology has the potential to eliminate the power line for charging the battery of portable IT devices such as smartphones and wearable devices, and furthermore, to remove the battery.

2 is a block diagram illustrating a mileage service providing server included in the system of FIG. 1 , and FIGS. 3 and 4 are an embodiment in which a multi-type compensation system-based marine sports mileage service is implemented according to an embodiment of the present invention. It is a figure for demonstrating an example.

Referring to FIG. 2 , the mileage service providing server 300 includes a registration unit 310 , a storage unit 320 , a calculation unit 330 , a database conversion unit 340 , a process building unit 350 , and a sailing mileage unit 360 . ), a behavior analysis unit 370 and a sharing unit 380 may be included.

The mileage service providing server 300 according to an embodiment of the present invention or another server (not shown) operating in conjunction with at least one user terminal 100, at least one company terminal 400, and at least one wearable When transmitting a multi-species compensation system-based marine sports mileage service application, program, app page, web page, etc. to the device 500, at least one user terminal 100, at least one company terminal 400, and at least one The wearable device 500 may install or open a multi-reward system-based marine sports mileage service application, program, app page, web page, and the like. In addition, the service program may be driven in at least one user terminal 100 , at least one company terminal 400 , and at least one wearable device 500 using a script executed in a web browser. Here, the web browser is a program that enables the use of a web (WWW: World Wide Web) service, and refers to a program that receives and displays hypertext written in HTML (Hyper Text Mark-up Language), for example, Netscape. , Explorer, Chrome, and the like. In addition, the application means an application on the terminal, for example, includes an app (App) executed in a mobile terminal (smartphone).

Referring to FIG. 2 , the registration unit 310 may register at least one wearable device 500 interlocked with the user terminal 100 by mapping user information. The wearable device 500 may be a device for collecting activity data of a user, and it is not limited to the present embodiment on which part of the body it is mounted. The wearable device 500 starts transmitting data from the user terminal 100 to the mileage service providing server 300 after the user applies for a marine sports program and the marine sports program starts, and during the marine sports program It may be linked with the user terminal 100 in order to check whether the user moved how much, often, or violently.

In this case, the wearable device 500 may be based on the wireless power transmission technology as described above. Here, the wireless power transmission technology is a technology that converts electric energy into electromagnetic wave form and wirelessly transmits energy to a load without a transmission line. In the case of short-distance wireless power transmission technology, it is divided into two methods using a magnetic field induced in a coil. The first method is a magnetic induction method that transmits power using a magnetic field induced in the coil, and the second method is a magnetic resonance method that transmits energy using the resonance phenomenon between the coil and the coil. In the case of long-distance wireless power transmission technology, an electromagnetic wave method using an antenna receives an RF signal through an antenna and converts the RF signal into a DC signal through RF-DC conversion to transmit power.

First, the magnetic induction method is a method similar to the operating principle of a transformer in that the magnetic field generated by the current flowing in the primary side coil generates an induced current in the secondary side coil and energy is transferred. A large amount of power can be transmitted depending on the size of the coil, but if the transmission distance is short and the primary and secondary coils are not aligned, the transmission efficiency may be lowered. Second, in the magnetic resonance method, like the magnetic induction method, an induced current is generated on the secondary side through a magnetic field due to the current on the primary side. It is a method in which energy is transferred through resonance mode energy coupling between the two. A large amount of power can be transmitted and the transmission distance is also 1~2M, so it can be transmitted relatively far, but like the magnetic induction method, if the coils on the primary side and the secondary side are not aligned, the transmission efficiency is lowered. Third, the electromagnetic wave method is a method of receiving RF energy from an antenna, converting it to a DC voltage through an RF-DC converter, and boosting the voltage through a boost converter to transmit energy to a load. Although a small amount of power is transmitted and the efficiency is lower than the above two methods, it is possible to transmit over a long distance and the degree of freedom in direction is very high because alignment between coils is not required. Table 1, which summarizes these, is as follows.

short-distance wireless power transmission Long-distance wireless power transmission magnetic induction magnetic resonance method electromagnetic wave method transmission distance several mm around 1-2m tens of centimeters to several meters or more transmission power several kW tens of W tens of mW transmission efficiency 90% within a few mm 1m90%, 2m40% 10-50% Advantages -High transmission efficiency
- Miniaturization possible
- Harmless to human body - Contactless transmission
-High transmit power -Free transmission position
- miniaturization Disadvantages -Short transmission distance
-Fixed transmission location -Transmission efficiency according to distance
- Impossible to downsize -Low power transmission efficiency
- human impact

Among the three types of wireless power transmission technology, the electromagnetic wave method has the disadvantage of having low transmission efficiency, but has the advantage of a free transmission location and the advantage of miniaturization, so it is suitable for wearable devices. In the case of the aforementioned wearable device 500 , the optimal power consumption is 24 mW, which is wasted power when more power is supplied. At this time, when the operating distance is close, power of 24 mW or more is supplied and wasted power is generated. This wasted power is first i) when the sensor operation starts, ii) detects the transmitted power, iii) continues to operate when 24mW of power is confirmed, iv) when more than 24mW of power is detected, Vset (setting voltage) After controlling the transmitted power through the control, it is possible to prevent power wastage while returning to step ii) of detecting the transmitted power. The storage unit 320 is the user terminal 100 . At least one parameter including registration cost, difficulty, active population, age and gender, country and region, and season of the marine sports program for which registration has been applied can be loaded and mapped with user information and stored. For example, the higher the registration fee, the higher the difficulty, the younger or older (old man or child), the colder or hotter the season, the farther away the area is from where you live, the more your country is abroad, the more gender you have. It can be set to add more mileage as the participation rate in marine sports is small. In addition, the smaller the active population, the higher the mileage, which can induce more participation.

The calculator 330 may pay mileage by applying a reward system previously mapped to and stored in activity data collected from at least one wearable device 500 and at least one parameter. At this time, the at least one wearable device 500 is a device having at least one or a combination of at least one of GPS location information, a gyro sensor, a gravity sensor, a geomagnetic sensor, a barometric pressure sensor, a pressure sensor, a heart rate sensor, and a biometric information recognition sensor. can, but is not limited thereto.

In this case, the wearable device 500 may be an Internet of Biometry-based wearable device that collects not only motion but also biometric information. For example, it may include a HW/SW platform for IoB-based human motion detection and heart rate measurement. For example, a motion sensor and a heart rate sensor that detect a user's movement are used, and data measured from the sensor is converted into necessary biometric information by a microprocessor. The converted biometric information is transmitted to the user terminal 100 of the user using Bluetooth communication, and the user can monitor his or her biometric information in real time from the user terminal 100 . In this case, since a user who engages in activities such as marine sports can check his or her body condition in real time, it is possible to obtain the effect of preventing related accidents in advance.

The wearable device 500 may include a motion sensor and a heart rate sensor, and each sensor may be attached to the user's body to collect data on the user's movement and heart rate. The motion sensor may be a sensor module in which a 3-axis accelerometer sensor, a 3-axis gyroscope sensor, and a 3-axis magnetometer sensor are integrated into one, and can measure data on 9 axes simultaneously. The heart rate sensor has a built-in visible light emitting diode (LED) and an infrared LED (Infrared LED), and can be used by attaching the sensor to the location of the user's blood vessels. The heart rate sensor can obtain a PPG (Photo PlethysmoGraph) signal by measuring the reflected amount of visible light and infrared light, and can calculate a user's heart rate and oxygen saturation from the measured PPG signal. At this time, the PPG signal obtained from the infrared LED is used to calculate the heart rate, and the PPG signal obtained from the infrared LED and the visible light LED is simultaneously used to calculate the oxygen saturation. For example, the motion sensor and the heart rate sensor may be MPU-9250 of InvenSense and MAX30100 of Maxim Integrated, respectively, but are not limited thereto. In addition, both the motion sensor and the heart rate sensor can use TWI (Two Wire Interface) as a communication method with the microprocessor, and infrared and red LEDs can be built into the MAX30100.

For data processing and transmission of the wearable device 500, an integrated module including a microprocessor and Bluetooth may be used, and data measured from each sensor may be obtained through TWI communication. For example, a PPG signal obtained from a heart rate sensor is output as a graph, and the obtained data may be processed in a microprocessor and converted into useful information for a user. The PPG signal is measured in a form having a periodic peak value according to the heartbeat. Using this feature, the microprocessor can calculate the heart rate of the user by identifying the period of the peak value. The converted data may be transmitted to the user terminal 100 through built-in Bluetooth communication.

The user terminal 100 outputs the biometric information received through Bluetooth communication on the screen. The user can check the data on the degree of his or her movement and heart rate from the output biometric information, and also check the mileage according to the movement. The longer your heart rate stays high, the longer your mileage may be. The output acceleration value may mean relative acceleration values in the X, Y, and Z axes when the gravitational acceleration is 1 g. Users can monitor their movements, heart rate, and oxygen saturation in the bloodstream. In addition, by giving a warning when the user's heart rate and oxygen saturation are out of normal ranges, it is possible to help early detection of physical abnormalities and to prevent related accidents.

The database conversion unit 340 includes a compensation system based on activity data, a compensation system according to program cost, a compensation system according to program configuration, a compensation system according to program difficulty, a compensation system according to the program and active population, and the age and gender of using the program. It is possible to construct and store a compensation system according to the following compensation system, a compensation system according to the duration and frequency of program activity, a compensation system according to the use of multiple programs, a compensation system according to countries/regions, a compensation system according to the season and a compensation system according to the achievement of the program target value. .

The process building unit 350 nodeizes at least one type of marine sports so as to have a step-by-step relationship, and applies mileage to use the mileage when registering the marine sports program of the next stage when the previous stage marine sports program is completed can do. The company terminal 400 provides program data including the cost, composition, difficulty, period, country or location and season of at least one type of marine sports program, and when there is a registration request of the user terminal 100 , the user information and program data of the user terminal 100 may be transmitted to the mileage service providing server 300 . Through this, the process building unit 350 may build a process network such as a mind map according to the above-described method by using the precedence or relation of each marine sports program.

Here, the process builder 350 may further use an association rule. The existing association rule mining method only considers frequent events, so association rules for events that occur infrequently but high importance cannot be explored. Weighted pattern mining refers to a mining technique that finds a high weight pattern considering the case in which items have different importance. In the business data analysis environment, customers' purchasing patterns for products should be set differently according to time and season, and different weights should be set for various product prices. Weight frequent pattern mining algorithms include WIP, WARM, and WAR based on the Apriori algorithm in the beginning. However, these algorithms require multiple database scans and thus slow down. Accordingly, the process builder 350 may use a mining technique of extracting a service frequency pattern using a weight-based service ontology as a method for providing an optimal marine sports program to the user. Mining based on ontology is similar to applying data mining considering a specific domain concept as a multi-layered method. If only related information between the same levels is extracted, there may be a problem in that if there is no related information at the same level, it is not extracted. Therefore, an algorithm that considers the frequency between hierarchies that can be discovered when related items exist even in items of different levels is applied. Even for the same advertisement content item, the weight is applied differently over time, so the service item provided to the user may vary, thus affecting the quality of the service.

In this case, when expressing the correlation as a correlation matrix, an artificial neural network may be further used. In the artificial neural network, the learning algorithm, the activation function of the hidden layer and the output layer, and the number of hidden layers and nodes are the main factors to be determined for the artificial neural network analysis. Therefore, neural network analysis can be performed by variously changing the above-mentioned factors in order to determine the optimal artificial neural network structure and parameters. Through the results of the mean error rate, etc., it is possible to use RPROP (Resilient backpropagation) as a learning algorithm and a linear function as an activation function. At this time, the reason for the artificial neural network analysis is to construct a correlation matrix based on the mutual sensitivity between words, that is, partial differential values, which are calculated after inference in the artificial neural network analysis. Accordingly, the input layer and the output layer can use the same symmetrical structure, and in the case of the hidden layer, it can be set to cm in which problems of under-fitting and over-fitting are minimized. In addition, by reflecting the monitoring results as semi-supervised learning during artificial neural network learning, the problem of overfitting can be minimized by using an early learning termination technique that terminates learning when the error between the actual result and the target result decreases and then increases. .

Each term of the correlation matrix can be composed by calculating the partial differential value between each factor through the artificial neural network model. The value of each matrix term composed of this process can be a fully-coupled interaction matrix, and the The value may vary depending on the learning material used for learning the artificial neural network. In other words, it is possible to construct a more realistic and reliable correlation matrix through the continuous supplementation of learning materials. The horizontal row of the matrix indicates the cause of the target influence factor on the other influence factors, and as a result, the sum of each horizontal row of the correlation matrix indicates the cause of each influence factor on the overall system. With the same concept, the vertical column of the matrix means the effect of other influencing factors on the target influencing factor, so it corresponds to the effect, and the sum of each vertical column means the result for the entire system. Of course, the correlation can be configured in various ways other than a correlation matrix or an artificial neural network, and is not limited to the configuration described above.

On the other hand, the system according to an embodiment of the present invention may further include an automatic identification system for outputting the ship's location information, ship name, route, speed, next route information, expected arrival date, and operation information. there is. Accordingly, when the user terminal 100 is located on a vessel identified by the automatic vessel identification device, the mileage unit 360 may increase the mileage corresponding to the position information, operation information, and speed of the vessel.

The behavior analysis unit 370 collects and accumulates activity data collected from the user terminal 100 and at least one wearable device 500, and analyzes the user's behavior using a pre-stored behavior analysis algorithm. there is. For example, an acceleration sensor and a gravity sensor of the wearable device 500 may be used to analyze a motion of moving an arm from the back to the front when swimming in order to analyze an exercise behavior. For example, when performing freestyle, one arm is placed horizontally with the water, and the other arm stirs the water, turns it backwards, and then repeats the movement toward the front. At this time, in order to determine the motion of the arm swinging (rotating 360 degrees), the wearable device 500 is mounted on the wrist of the arm where the swing occurs, and then, whether the arm is operating through the acceleration sensor is determined by the Yaw, Pitch, and Roll axes. It can be obtained, and the change according to the direction of the wrist can be classified into forward-facing and backward-facing through the gravity sensor information. The sensor data and analysis method used can be acquired through test data acquired a priori. In addition, the value of the acceleration sensor may be analyzed to determine the motion of the arm moving forward and backward. For example, it was confirmed that the size of the X, Y, and Z values changes more than a certain value when the arm is rotated 360 degrees. feature values can be obtained. However, when SVM is applied, peaks may occur several times due to the action of a force for 360 degree rotation, and accordingly, the number of rotations may be incorrectly measured. It may not be considered a peak. In addition, since a situation may occur in which a peak is generated in a section where the z value of the acceleration sensor is not rotated, SVM can be applied with the z value removed.

If the user does not have the wearable device 500 , the user's behavior may be analyzed using the user's smartphone, that is, the user terminal 100 . To this end, the behavior analysis unit 370 may apply a method of extracting data robust to noise from the data received by the three-axis acceleration sensor, and may apply an expected value maximization technique (Expectation Maximization, EM), a random forest ( Random Forest) and one-dimensional Convolutional Neural Network (CNN)-based deep learning are applied to compare how the behavior recognition performance for each machine learning is different, and then the one with the best performance can be applied. The 3-axis acceleration sensor built into the smartphone measures the magnitude of the force in the X, Y, and Z axis directions of the user's smartphone using the Earth's gravitational acceleration. Accordingly, the coordinate value of each axis of the acceleration data changes according to the user's action, and the user's movement can be recognized using this change information. However, at this time, since the rotation component of the data may interfere with accurate behavior recognition, the movement values in the X, Y, and Z axis directions are calculated using the following equation to minimize the influence of the rotation component and accurately recognize the movement. can be obtained using

Using Equation 1, it is possible to reduce errors due to various rotations by converting the acceleration values in the three-axis direction into representative components. For example, when the three-axis acceleration value converted by Equation 1 is drawn on the time axis with feature points of the sitting, walking, and running data, the value of V is very different depending on the behavior pattern. This means that as a person moves faster, the range of change in the V value extracted from the acceleration sensor increases. Although the standard deviation varies due to differences in individual movements or the location of smartphones, there are differences according to each behavioral pattern of walking, running, and sitting. Hereinafter, a machine learning pattern recognition technique using an expected value maximization algorithm, a random forest, and deep learning based on the V value will be described.

We classify behavioral patterns using the expected value maximization algorithm and obtain a normal distribution with mean μi (i=1,2,3) and variance σ _i ² (i=1,2,3) of V values of sitting, walking, and running. Behavior patterns can be distinguished by expressing the probability that the input V value belongs to each distribution of sitting, walking, and running, assuming that it follows. When the probability density function for the behavior pattern corresponding to sitting, walking, and running is drawn, the variance value of the probability density function for the sitting behavior is very small, so it is well distinguished from walking and running, whereas walking and running have a probability density function. overlap a lot. In particular, in the case of running, it may have a very large dispersion value due to an individual's running speed and the location of the smartphone. In order to recognize human behavior that has many deviations according to the characteristics of each individual and each sensor, it is classified through the expected value maximization algorithm.

In order to perform the expected value maximization algorithm, first, the number of total behavioral acceleration data clusters and termination conditions are specified. After that, the expected value maximization algorithm is divided into E-step and M-step and executed. In the E-step, the probability value to which the V values of the input acceleration sensor belong to the probability distribution of each behavior pattern is calculated, converted into a weight, and assigned to each probability model. In M-step, the mean and standard deviation of the newly assigned input values are changed. At this time, the above E-step and M-step are repeated and optimized according to the likelihood value by taking the weight of the input value into consideration until it exceeds a certain threshold value. to recognize behavior. However, in the case of running, the dispersion value is very large, and similar cases to other behavior patterns often occur, which may lower recognition performance.

If the goal is to improve the performance by supplementing the shortcomings of the decision tree by using the bagging technique for each behavior pattern variation problem using the random forest machine learning technique, For pattern classification of walking and running, various trees with different characteristics are configured by randomness. The basic principle is that prediction of each tree can generally improve performance by minimizing the correlation between each tree. The machine learning method using a random forest has the advantage of being less sensitive to the size of the feature vector and having a fast classification speed. The random forest classifier is a method that combines several binary trees in an ensemble form. The structure of each binary tree follows a randomly growing method. For example, it is possible to form a classifier for recognizing a behavior by comprehensively analyzing the probability values in the n binary tree structure. A human behavior analysis algorithm using a random forest can show robust performance in a relatively short time.

On the other hand, in the field of pattern recognition, good recognition performance is shown using deep learning techniques. In particular, if the system is configured to recognize behavior based on CNN, CNN-based deep learning technology can be applied to learn patterns based on the input acceleration sensor value, and the Deep Neural Network method using CNN is mainly composed of Convolution Layer, Pooling Layer, Fully Connected Layer, and Softmax Layer. It is a process of obtaining a partial maximum value through convolution with a filter from the acceleration characteristic vector data input through the convolution layer to extract the partial maximum value of the feature vector. After extracting the partial maximum value through pooling, it consists of a process of classifying the learning result through the combination of various layers of weight values into sitting, walking, and running patterns using the Softmax algorithm. Human behavior can be recognized by automatically updating weight values using training data. Of course, in addition to the above-described method, it is also possible to recognize and classify human behavior in various ways.

In this case, the user terminal 100 may be a plurality of user terminals 100 by a plurality of users. Here, the sharing unit 380 shares activity data and mileage data of the plurality of user terminals 100 as a feed in conjunction with social media to establish a relationship between the plurality of user terminals 100 and induce competition. can do. Accordingly, the user terminal 100 is interlocked with the at least one wearable device 500 to output the activity data collected from the at least one wearable device 500, and when registered in at least one marine sports program, user information , you can upload registered programs and activity data.

Hereinafter, an operation process according to the configuration of the mileage service providing server of FIG. 2 will be described in detail with reference to FIGS. 3 and 4 as an example. However, it will be apparent that the embodiment is only one of various embodiments of the present invention and is not limited thereto.

Referring to FIG. 3 , (a) the mileage service providing server 300 receives marine sports program registration from at least one company terminal 400, and provides detailed information (detailed information) according to difficulty, period, cost, region, configuration, etc. ) into a database. In this case, the mileage is initially manually set differentially according to each difficulty, period, cost, region, configuration, etc., and then automatically applied thereafter. And, (b) the mileage service providing server 300, when the user terminal 100 applies for a marine sports program, interworks with the wearable device 500, and the wearable device corresponds to the date and time the marine sports program starts. Data sensed from the device 500 is read.

Then, (c) the data collected from the wearable device 500 is stored as activity data, and the higher the heart rate, the greater the acceleration, the longer the heart rate is maintained, the higher the mileage is given, (d) Compensation for these behaviors induces them to perform the behavior again.

4A to 4I show a marine sports program according to an embodiment of the present invention. There are various marine sports programs such as yacht tours, underwater leisure, marine leisure, sunset cruise, diving, and party life. At this time, as in the case where one cannot understand the subsequent subjects unless they have taken the prerequisite courses such as the prerequisite courses at the university, in order to participate in the diving program, it may be necessary to complete a training course or program necessary for diving. In this way, each program can be linked and connected. As described above, the preceding and subsequent processes with ABCD, etc. can be connected like networking with a map, and the consumer who hears the program A is registered with the program to do the program B. You can set to use mileage when you do. In this way, it is less likely that a person who has taken A program, for example, sea swimming program, quits because they do not know which program to take even though they can try diving. Also at this time, of course, using the correlation algorithm as described above, the program may be recommended by the correlation algorithm regardless of the order of the preceding and subsequent programs according to the probability that the A program and the B program will select the C program. You can also set the mileage to be usable when using .

The matters that have not been described with respect to the method of providing the multi-type compensation system-based marine sports mileage service of FIGS. 2 to 4 are the same as or described for the method of providing the multi-type compensation system-based marine sports mileage service through FIG. 1 above. Since it can be easily inferred from the contents, the following description will be omitted.

FIG. 5 is a diagram illustrating a process in which data is transmitted/received between components included in the multi-species compensation system-based marine sports mileage service providing system of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process in which data is transmitted and received between each component will be described with reference to FIG. 5, but the present application is not limited to such an embodiment, and the example shown in FIG. 5 according to various embodiments described above will be described. It is apparent to those skilled in the art that the data transmission/reception process may be changed.

Referring to FIG. 5 , the mileage service providing server maps and registers at least one wearable device and user information interlocked with the user terminal (S5100), and the registration cost, difficulty, At least one parameter including active population, age and gender, country and region, and season is loaded and mapped with user information and stored (S5200).

In addition, the mileage service providing server pays mileage by applying a reward system previously mapped and stored to activity data collected from at least one wearable device and at least one parameter (S5300).

The order between the above-described steps ( S5100 to S5300 ) is merely an example and is not limited thereto. That is, the order between the above-described steps ( S5100 to S5300 ) may be mutually changed, and some of these steps may be simultaneously executed or deleted.

The matters not described with respect to the method of providing the multi-type compensation system-based marine sports mileage service of FIG. 5 are the same as or described for the method of providing the multi-type compensation system-based marine sports mileage service through FIGS. 1 to 4 above. Since it can be easily inferred from the contents, the following description will be omitted.

The method for providing marine sports mileage service based on the multi-species compensation system according to the embodiment described with reference to FIG. 5 is also implemented in the form of a recording medium including instructions executable by a computer, such as an application or program module executed by a computer. can be Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer-readable media may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above-described method for providing marine sports mileage service based on a multi-type compensation system according to an embodiment of the present invention is applied to an application basically installed in a terminal (which may include a program included in a platform or an operating system, etc. that is basically loaded in the terminal). may be executed by the application store server, an application or an application (ie, a program) directly installed in the master terminal by a user through an application providing server such as a web server related to the application or the corresponding service. In this sense, the method for providing marine sports mileage service based on the multi-species compensation system according to an embodiment of the present invention described above is implemented as an application (ie, program) installed basically in a terminal or directly installed by a user, and is installed on a computer such as a terminal. It can be recorded on a readable recording medium.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

Claims (9)

a user terminal interworking with at least one wearable device to output activity data collected from the at least one wearable device, and uploading user information, a registered program, and activity data when registered in at least one marine sports program;
At least one wearable device interlocked with the user terminal and a register for registering user information by mapping, registration cost, difficulty, active population, age and gender, country and region, season of the marine sports program applied for registration from the user terminal A storage unit for loading and storing at least one parameter including, mapping and storing the user information, activity data collected from the at least one wearable device, and a reward system previously mapped to at least one parameter to pay mileage a mileage service providing server including a calculation unit; and
Includes an Automatic Identification System that outputs the ship's location information, ship name, route, speed, next route information, expected arrival date and operation information,
The mileage service providing server,
Compensation system based on the above activity data, compensation system according to program cost, compensation system according to program composition, compensation system according to program difficulty, compensation system according to program active population, compensation system according to age and gender using the program, program activity a database unit for constructing and storing a compensation system according to period and frequency, a compensation system according to the use of multiple programs, a compensation system according to countries/regions, a compensation system according to seasons and a compensation system according to the achievement of program target values;
When a process network is established, at least one type of marine sports is noded to have a step-by-step relationship, and the user completes the previous step marine sports program according to the precedence process, and then registers the next step marine sports program. a process establishment unit that applies mileage so that it can be used; and
When the user terminal is located on the vessel identified by the automatic vessel identification device, the navigation mileage unit for increasing the mileage corresponding to the position information, operation information and speed of the vessel;
A multi-type compensation system-based marine sports mileage service providing system that includes.
delete The method of claim 1,
The at least one wearable device comprises:
Multiple reward system based marine sports mileage service, characterized in that it is a device having at least one or a combination of at least one of GPS location information, gyro sensor, gravity sensor, geomagnetic sensor, barometric pressure sensor, pressure sensor, heart rate sensor, and biometric information recognition sensor delivery system.
delete delete delete The method of claim 1,
The multi-type compensation system-based marine sports mileage service providing system,
Provides program data including cost, configuration, difficulty, period, country or location, and season of at least one type of marine sports program, and when there is a registration request from the user terminal, user information of the user terminal and the at least one company terminal for transmitting program data to the mileage service providing server;
Multi-type compensation system-based marine sports mileage service providing system, characterized in that it further comprises.
The method of claim 1,
The mileage service providing server,
a behavior analysis unit that collects, accumulates, and stores the activity data collected from the user terminal and at least one wearable device, and analyzes the user's behavior using a pre-stored behavior analysis algorithm;
Multi-type compensation system based marine sports mileage service providing system, characterized in that it further comprises.
The method of claim 1,
The user terminal is a plurality of user terminals by a plurality of users,
The mileage service providing server,
a sharing unit for sharing activity data and mileage data of the plurality of user terminals as a feed in conjunction with social media to establish a relationship between the plurality of user terminals and induce competition;
Multi-type compensation system based marine sports mileage service providing system, characterized in that it further comprises.

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