KR20170048920A - System and method for guiding footpath based on user movement detection - Google Patents

Abstract

The present invention relates to a walking route guidance service system according to user movement measurement, and a method thereof. An apparatus for providing a walking route guidance service comprises: a sensor part measuring movement and position information of a user; a reference information generating part calculating an average walking speed by using the measured movement and position information; and a walking route guidance part generating a walking route from a departure point to a destination, and calculating destination arrival time of the walking route according to the average walking speed.

Description

Technical Field [0001] The present invention relates to a system and a method for guiding a walking route based on user's movement measurement,

The present invention relates to a system and a method for providing a walking route guidance service according to a user's movement measurement, and more particularly, to a system and a method for a walking route guidance service based on user's movement measurement, To a walking route guidance service system and method according to a user's movement measurement that generates a walking route from a departure place to a destination when a destination is inputted and calculates a destination arrival time based on an average walking speed of the walking route .

Wearable device means a device that can be worn on the body of human beings and it can be worn with glasses, watches, bracelets, shoes, rings, belts, bands, necklaces, Headset, clothes, and so on. These wearable devices are currently in a stage of rapid penetration, among which wearable glasses, wearable watches, and wearable bands, which are closely related to human life and are easy to wear, are forming the largest product group.

On the other hand, wearable devices are also referred to as smart devices in other words. It is necessary to start driving by the user's input. However, once the driving is started, various additional information can be automatically generated and supplied to the user from then on. For example, if a user wearing a wearable watch wants to measure his or her own heart rate, the wearable watch measures the user's heart rate at the same time the user presses the heart rate measurement input button and generates various information based on the measured heart rate It can be provided to the user. On the other hand, in recent years, many wearable devices that do not require the start of driving by the user's input have appeared. For example, in the case of a wearable band, the user's heart rate can be continuously measured even if there is no drive start by the user's input, and the wearable device in the future is likely to develop in a direction that does not require the start of driving by the user's input Very high. This is because the convenience of driving the device is increased as much as the input of the user is unnecessary.

 The source of the various additional information that the wearable device provides to the user is the information measured by the user. Therefore, a wearable device must implement a sensor for measuring various information from a user, and a larger number of types of mounted sensors can measure a lot of information from the user. Therefore, a heart rate measuring sensor, a GPS (Global Positioning System) sensor and a foot count measuring sensor are required to be mounted on a wearable device in recent years, and researches for mounting various sensors in a space inside a limited device have been continued.

After the wearable device measures information from the user through the mounted sensor, the wearable device can generate various additional information on the basis of the information and provide it to the user. For example, the user's current location can be measured to provide information about nearby stores or products related to the user's interests. Although provision of such additional information may be provided through the function of the wearable device itself, it is not possible to provide all the additional information necessary for each different user in one wearable device. Thus, recently, an application installed in the wearable device It is being developed together. In this case, the application can be viewed as a kind of application program, and can generate various additional information based on the information measured through the function of the wearable device itself and provide it. In this example, provision of information on nearby stores or items related to the user's interests can be performed by the application. In other words, every time a new application is developed, the additional information that can be provided to the user through the wearable device has to be diversified. The development of the application can be regarded as a future partner with development of the wearable device itself.

Meanwhile, in recent years, establishing a system capable of settlement through a wearable device has become a main concern of the related industry. For example, by including an NFC (Near Frequency Communication) function in the wearable device itself and registering the user's credit card in the application, the user can make settlement through the wearable device without having to take out his own wallet and pay. That is, the mobile wallet function can be performed by replacing the conventional wallet. However, there are a lot of technical problems to solve because there are many security related problems such as user's personal information and card payment approval.

In addition, a service system for measuring movement of a user using a wearable device and providing a step pattern using the measured motion information is constructed. However, conventionally, a service for providing a scheduled arrival time to a destination according to the average walking speed of the user is not provided.

Prior Art 1: Korean Unexamined Patent Publication No. 2000-0001925: Apparatus and Method for Estimating Walking State for Pedometer Estimation Using Portable Terminal

The present invention proposes a service for providing a scheduled arrival time to a destination according to an average walking speed of a user using a wearable device.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a walking route guidance service system and method according to user movement measurement that provides a scheduled arrival time to a destination according to an average walking speed of a user using a wearable device.

Another object of the present invention is to provide a walking route guidance service system and method according to user movement measurement that can recommend a taxi calling service if the traveling speed of the user is less than or equal to a predetermined speed.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.

According to an aspect of the present invention, there is provided a navigation system including a sensor unit for measuring movement and position information of a user, a reference information generating unit for calculating an average walking speed using the measured movement and position information, And a walking route guidance unit for calculating a destination arrival time of the walking route based on the average walking speed.

The walking route guidance service providing apparatus calculates a moving speed using movement and position information measured by the sensor unit when a movement along the walking path is detected, and when the calculated moving speed is less than a predetermined threshold speed And a personalization service section for recommending a taxi calling service.

The sensor unit measures the biometric information of the user, and the personalization service unit compares the biometric information measured by the sensor unit with previously stored reference biometric information to determine whether the calculated normalized moving speed is normal or not , And abnormal information can be outputted when it is abnormal.

According to another aspect of the present invention, an average walking speed is calculated by measuring a user's movement and position information, and when a destination is input, a walking route information request signal including the average walking speed and a destination is transmitted to a service server And a controller for receiving the walking route information from the service server and calculating a traveling speed using the movement and position information of the user when the traveling is detected based on the walking route information, A smart device transmitting to the service server generates a walking route from a starting point to a destination according to reception of the walking route information request signal, calculates a destination arrival time of the walking route according to the average walking speed, And transmits the walking route information including the destination arrival time to the smart device, If the moving speed of the device is less than the threshold speed set group the pedestrian route guidance system in accordance with the user's motion measurement comprising the service server to recommend a taxi call service is provided.

According to another aspect of the present invention, there is provided a method of providing a walking route guidance service according to user movement measurement, the method comprising: (a) measuring movement and position information of a user; (C) generating a gait path from the starting point to the destination when the destination is input, (d) calculating the average walking speed of the gait path from the starting point to the destination, And calculating a destination arrival time based on the speed of the user.

The walking route guidance service method according to the user movement measurement may further include calculating movement speed by measuring movement and position information of a user according to the movement when the movement according to the walking route is detected after the step (d) And recommending the taxi calling service when the calculated traveling speed is less than or equal to a predetermined threshold speed.

In addition, the walking route guidance service method according to the user movement measurement may further include calculating movement speed by measuring movement of the user in accordance with the movement when the movement along the walking route is detected after the step (d) And comparing the measured biometric information with previously stored reference biometric information, and outputting the comparison result.

Meanwhile, the 'walking route guidance service system and method according to user movement measurement' described above may be recorded in a recording medium readable by an electronic device after being implemented in the form of a program, or may be recorded in a program download management device Can be distributed.

According to the present invention, the wearable device is used to provide the estimated arrival time to the destination according to the average walking speed of the user, so that the user can reach the destination within a predetermined time on foot.

Also, if the user's moving speed is below a certain speed or too slow, by recommending a taxi calling service, the user can arrive at the destination within a predetermined time.

Further, if the moving speed of the user is less than or equal to a predetermined speed, by measuring the biometric information of the user, it is possible to know why the step is slowed and the health state of the user can be determined.

The effects of the present invention are not limited to the above-mentioned effects, and various effects can be included within the scope of what is well known to a person skilled in the art from the following description.

1 is a block diagram schematically illustrating a configuration of a smart device for providing a walking route guidance service according to user movement measurement according to an embodiment of the present invention.
2 is a diagram illustrating a method for providing a walking route guidance service according to a user's motion measurement by a smart device according to the present invention.
3 is a diagram illustrating a method of providing a walking route guidance service according to motion measurement by a smart device according to the present invention. 4 is a diagram illustrating a walking route guidance service system according to another embodiment of the present invention.
5 is a block diagram schematically illustrating a configuration of a service server according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating a walking path guidance service method according to the motion measurement according to the embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a system and a method for providing a walking route guidance service according to the present invention will be described in detail with reference to the accompanying drawings. The embodiments are provided so that those skilled in the art can easily understand the technical spirit of the present invention, and thus the present invention is not limited thereto. In addition, the matters described in the attached drawings may be different from those actually implemented by the schematic drawings to easily describe the embodiments of the present invention.

In the meantime, each constituent unit described below is only an example for implementing the present invention. Thus, in other implementations of the present invention, other components may be used without departing from the spirit and scope of the present invention.

In addition, each component may be implemented solely by hardware or software configuration, but may be implemented by a combination of various hardware and software configurations performing the same function. Also, two or more components may be implemented together by one hardware or software.

Also, the expression " comprising " is intended to merely denote that such elements are present as an expression of " open ", and should not be understood to exclude additional elements.

FIG. 1 is a block diagram schematically illustrating a configuration of a walking route guidance service providing apparatus according to an embodiment of the present invention. Referring to FIG. In one embodiment, the walking route guidance service providing apparatus may be a smart device. Hereinafter, the case where the walking route guidance service providing apparatus is a smart device will be described as an example, but the walking route guidance service providing apparatus according to the present invention is not limited to a smart device.

Referring to FIG. 1, a smart device 100 for providing a walking route guidance service according to user movement measurement includes a sensor unit 110, a reference information generation unit 120, a walking route guide unit 130, a storage unit 150, And a control unit 160. In one embodiment, the personalization service unit 140 may be further included.

The sensor unit 110 is mounted on the smart device 100 to measure movement or biometric information of the user. Here, the biometric information may include pulse, blood pressure, blood sugar, blood oxygen saturation (SpO2), and the like.

The sensor unit 110 measures movement according to the user's walking, and may be a motion detection sensor. The motion detection sensor is a sensor for measuring the foot motion of the user, and may include, for example, an acceleration sensor or the like. In the case of the acceleration sensor, the movement of the user can be detected using the 3-axis acceleration sensor axis. The acceleration sensor measures the magnitude of the acceleration according to the user's motion. The acceleration sensor measures the degree of acceleration using the physical displacement of the mechanical device constructed therein, and outputs the degree of acceleration as frequency or voltage. For example, the acceleration sensor may be one of an inertia type, a gyro type, and a silicon type.

The sensor unit 110 can measure the biometric information of the user. In this case, the sensor unit 110 senses basic physical quantities such as current, voltage, and resistance, which contain biometric information, and converts the basic physical quantities into data of a desired type. The sensor unit 110 may include a corresponding measurement sensor according to the type of the object to be measured, for example, a pulse sensor, a blood pressure sensor, a blood glucose sensor, or the like. The sensor unit 110 periodically or continuously senses the measured biometric information and transmits an electrical signal to the control unit in the main body so that the user can access the smart device 100 or a user terminal interlocked with the smart device 100 In an emergency situation, the user can directly inform the external device directly from the smart device 100 or an associated user terminal on behalf of the user.

Also, the sensor unit 110 measures position information as well as user's movement, biometric information. The position detection sensor may be a sensor for measuring the user's current position, for example, a GPS sensor or the like.

The reference information generating unit 120 calculates an average walking speed using the motion and position information measured by the sensor unit 110. Since the current position of the smart device 100 can be grasped in real time by measuring the walking speed, it can be easily grasped through calculation of the travel time and the travel distance, and can be performed through various other methods.

The reference information generating unit 120 calculates the average walking speed of the user using the motion and position information measured by the sensor unit 110. [ That is, the reference information generation unit 120 detects the step using the motion measurement value of the sensor unit 110. At this time, the reference information generator 120 may use a peak value detection technique, a constant interval detection technique, a zero-cross point detection technique, or the like in order to detect a step. In the case of using the zero intersection detection technique, the smart device 100 processes the raw signal of the accelerometer using sliding window summing and signal difference, Recognize the moment as a step.

Then, the reference information generation unit 120 calculates the movement distance of the user using the position information measured by the sensor unit 110, and analyzes the average number of steps according to the movement distance as a gait pattern. Then, the reference information generator 120 divides the moving distance by the moving time to obtain an average walking speed (average walking speed = moving distance / moving time). In this case, if the speed is set to measure every few steps, the moving distance is the sum of the strides corresponding to the number of steps, and the moving time is the total time of the step. If it is set to measure the speed every few seconds, the sum of the strides corresponding to the number of steps made within that time becomes the travel distance, and the set time becomes the travel time. The moving speed is obtained by dividing the moving distance obtained by summing the stride values by the set number of steps divided by the time taken for the movement by the set number of steps, or when the time is set as a time other than the number of steps, Is obtained by dividing the travel distance obtained by summing the stride values to be set by the set time.

The walking route guide unit 130 generates a walking route from the starting point to the destination and calculates a destination arrival time based on the average walking speed of the walking route.

That is, the origin and destination are inputted from the user for the selection of the walking route. If the current position is known by the sensor unit 110 instead of receiving the start point, the robot searches for a walking path using the current position as a departure point. At this time, the detected gait path may be the shortest gait path from the origin to the destination.

Hereinafter, a method of generating the walking path by the walking path guide unit 130 will be described. In the first method, the walking route guide unit 130 receives the starting point and the destination and generates a walking route. If there is a shortening route passing through the room of the building among the routes from the starting point to the destination, Can be generated. At this time, the walking route guide unit 130 stores and manages the road information as well as the indoor movement route in the building. The walking route guide unit 130 can generate a walking route based on the road by searching coordinate information of a starting point and a destination, map image information of the coordinate, and scale information from the map information stored in the storage unit 150. [ That is, the walking route guide unit 130 generates route information based on the road according to the departure location and the destination location, and determines whether or not a building storing the indoor travel route is included on the generated route. If it is determined that there is an indoor movement route, the walking route guide unit 130 generates route information including the indoor movement route. In this manner, the walking route guide unit 130 generates at least one of the route information including the road-oriented route and the route information including the indoor route.

In the second method, the walking path guide unit 130 generates an optimal walking path considering the number of waiting segments and the moving distance between the starting point and the destination. The walking path which is movable between the current position space and the target position space is grasped and the walking path which takes the shortest time based on the number of waiting sections including the traveling distance and the crosswalk among the detected walking paths It is generated by walking path.

When the gait path from the start point to the destination is generated by the above method, the gait path guide unit 130 calculates the time required to travel to the destination of each gait path according to the average walking speed generated by the reference information generating unit 120 That is, the arrival time is calculated. Then, the walking route guide unit 130 outputs the walking route information including each of the walking route and the arrival time.

Accordingly, the user can check the walking route information, the walking information, and the like through the smart device 100 to receive the route information including the road, the indoor travel route, the shortest distance travel route, and the like, Time information on the time, moving distance, entrance information of a building to be passed through, and the like.

The walking route guide unit 130 displays the walking route from the starting point to the destination on the electronic map. The walking path displayed on the electronic map can be displayed as the shortest walking path from the starting point to the destination. At this time, when the user moves according to the walking route, the walking route guide unit 130 starts moving the identifier indicating the movement of the user on the walking route of the electronic map at a predetermined speed. In this manner, since the identifier indicating the movement of the user is moved on the walking path of the electronic map, the user can roughly check the current position of the user even while walking.

The walking route guide unit 130 may compare the average walking speed generated by the reference information generator 120 with the walking speed of the current user and output the difference between the average walking speed and the average walking speed through visual or auditory means . When the user's walking speed is slower than the average walking speed, the walking route guide unit 130 notifies the user that the walking speed of the user is slower than the average walking speed, and if the user's walking speed is faster than the average walking speed . At this time, the walking route guide unit 130 can use a method of alarm sound or vibration as a method of guiding the user to slow or fast the walking speed. For example, the type of the alarm sound or vibration in the case of slow walking, So that the user can recognize the alarm sound or the vibration type without having to confirm it every time. If the user adjusts the walking speed and the average walking speed is reached, the alarm sound or vibration is ended so that the user can know that the recommended speed is reached.

Since the walking route guide unit 130 is within the range of the average walking speed, the walking speed guide unit 130 may display the current speed together with a message to maintain the current speed. That is, since the walking speed guide unit 130 is faster than the average walking speed, the current walking speed is indicated along with a message to lower the walking speed. The average walking speed is also displayed together. The walking path guide unit 130 displays the current walking speed together with a message to increase the walking speed since the user walking speed is slower than the average walking speed. The average walking speed is also indicated together.

The personalization service unit 140 may calculate the movement speed using the movement measured by the sensor unit 110 when the movement according to the user's walking path is detected and if the calculated movement speed is less than the predetermined threshold speed, Service is recommended. When the user desires to use the taxi calling service, the personalization service unit 140 searches for the closest empty taxi based on the current position measured by the sensor unit 110, And the like.

If the movement speed calculated using the movement measured by the sensor unit 110 is equal to or less than a predetermined threshold speed, the personalization service unit 140 may store the biometric information measured by the sensor unit 110 as previously stored reference biometric information And outputs abnormal information in the case of abnormality. At this time, the personalization service unit 140 may determine whether or not the user is in a dangerous situation, and inform the user of a dangerous situation such as a preset contact or an emergency communication network in a dangerous situation.

Each of the reference information generation unit 120, the walking route guidance unit 130, and the personalization service unit 140 may be implemented by a processor or the like necessary for executing a program on a computing device. As described above, the reference information generation unit 120, the walking route guidance unit 130, and the personalization service unit 140 may be implemented by respective physically independent configurations, or may be implemented in a functionally- It is possible.

The storage unit 150 is a configuration for storing data related to the operation of the smart device 100. The storage unit 150 may be a known storage medium. For example, the storage unit 150 may use any one or more known storage media such as a ROM, a PROM, an EPROM, an EEPROM, and a RAM.

Particularly, the storage unit 150 stores the biometric information measured by the sensor unit 110, the health status based on the biometric information, the average walking speed calculated by the reference information generating unit 120, And a walking path that has been stored. Also, the storage unit 150 stores map information including map image information, scale information, and coordinate information. Here, the map information may include an indoor movement path that can move between the roads on the road.

In addition, a walking route guidance program for providing a walking route guidance service provided by the smart device 100 is stored in the storage unit 150. The storage unit 150 stores electronic map data related to map information of each area. The electronic map may be any file format as long as the walking path can be displayed.

The control unit 160 may provide a walking route guidance service provided by the smart device 100 by executing a walking route guidance program stored in the storage unit 150 according to a user's selection.

In addition, the storage unit 150 may store an application (or an applet) capable of calculating an average walking speed according to a user's movement and a walking route guidance, and the stored information may be stored by the controller 160 Cooking can be selected.

The control unit 160 may store the application (or applet) capable of calculating the average walking speed according to the user's movement and the walking route guidance in the storage unit 150, Can be controlled.

The control unit 160 controls various configurations of the smart device 100 including the sensor unit 110, the reference information generation unit 120, the walking path guide unit 130, the personalization service unit 140, and the storage unit 150 And controls the operation of the units.

The control unit 160 may include at least one computing device, which may be a general purpose central processing unit (CPU), programmable device elements (CPLDs, FPGAs) that are suitably implemented for a particular purpose, Device (ASIC) or a microcontroller chip.

The smart device 100 according to the present invention may further include an input unit 170 for receiving information from a user. The input unit 170 may be used to input a starting point, a destination, and the like. The input unit 170 may be implemented as an input device such as a keypad or a touch panel, and may be implemented by various input devices other than the input device. The input unit 170 may be implemented as a touch screen integrated with the display unit 180.

In addition, the smart device 100 according to the present invention may further include a display unit 180 for displaying various information related to the operation of the smart device 100. In particular, the display unit 180 may display various information such as biometric information measured by the sensor unit 110, health status based on the biometric information, a walking route, and a destination arrival time. The display unit 180 may be implemented through various display devices including an LCD, an LED, and the like.

In addition, the smart device 100 according to the present invention may further include a power supply unit (not shown) for supplying power. In addition, the smart device 100 of the present invention may further include a short range communication unit (not shown) for short range wireless communication with a user terminal. The short-range communication unit may include a radio frequency (RF) and ultra wideband (UWB) communication system such as Wi-Fi, Bluetooth communication, zigbee communication, IrDA, UHF and VHF As shown in FIG.

The service application according to the present invention can be installed in the smart device 100 in order to provide the walking route guidance service according to the present invention. The service application installed in the smart device 100 allows the control unit 160 to implement the walking route service described above. The service application may be installed from the time of launching the smart device 100, or may be downloaded via a communication network. Or may be transferred to the smart device 100 by connecting the memory device to the smart device 100 in the form of a program file recorded in a separate memory device.

The smart device 100 implemented as described above refers to a device that can be worn on a human body and may include glasses, watches, bracelets, shoes, rings, belts, bands, , A necklace, a headset, and clothes.

2 is a diagram illustrating a method for providing a walking route guidance service according to a user's motion measurement by a smart device according to the present invention.

Referring to FIG. 2, the smart device measures the movement of the user (S202), and calculates the average walking speed of the user using the measured movement (S204). That is, the smart device detects the step using the motion measurement value of the sensor unit, calculates the movement distance of the user using the position information, and analyzes the average number of steps according to the movement distance as a gait pattern. Then, the smart device divides the moving distance by the moving time to obtain the average walking speed (average walking speed = moving distance / moving time).

When the destination is inputted (S206), the smart device generates a walking route from the start point to the destination (S208). At this time, the smart device receives the departure place and the destination place, generates the walking route, and if there is a shortening route passing through the room of the building out of the route moving from the starting place to the destination, the shortening route can be generated as the walking route. Also, the smart device may generate an optimal walking path considering the number of waiting segments and the moving distance between the starting point and the destination.

The smart device calculates the destination arrival time of the walking path according to the average walking speed (S210), and displays the calculated destination arrival time (S212). At this time, the smart device can display the walking path together with the destination arrival time.

Thereafter, the smart device measures the movement of the user according to the movement of the user (S214), and calculates the movement speed (S216).

Then, the smart device determines whether the calculated moving speed is less than a preset threshold speed (S218), and recommends a taxi calling service if the calculated moving speed is less than the threshold speed (S220). When the user desires to use the taxi call service, the smart device searches for the vacant taxi nearest to the current position measured by the sensor unit and stores the taxi reservation information including the vacant taxi number and the estimated arrival time .

3 is a diagram illustrating a method of providing a walking route guidance service according to motion measurement by a smart device according to the present invention.

Referring to FIG. 3, the smart device measures the movement of the user (S302), and calculates the average walking speed of the user using the measured movement (S304).

If the destination is later input (S306), the smart device generates a walking path from the starting point to the destination (S308).

The smart device calculates the destination arrival time of the walking path according to the average walking speed (S310), and displays the calculated destination arrival time (S312). At this time, the smart device can display the walking path together with the destination arrival time.

Then, if the user moves according to the walking path (S314), the smart device measures the movement of the user according to the movement and calculates the moving speed (S316).

Then, the smart device determines whether the calculated movement speed is less than a predetermined threshold speed (S318).

If it is determined in step S318 that the threshold value is less than the critical rate, the smart device measures the user's biometric information (S320), compares the measured biometric information with previously stored reference biometric information (S322), and determines whether the smart biometric information is normal or not (S324).

As a result of the determination in step S324, if the status is abnormal, the smart device outputs abnormal information (S326), and if it is not abnormal, recommends a taxi call service (S328). When the biometric information of the user is abnormal, the smart device judges whether or not the user is in a dangerous situation, and can notify a dangerous situation such as a preset contact or an emergency communication network in a dangerous situation.

4 is a diagram illustrating a walking route guidance service system according to another embodiment of the present invention.

Referring to FIG. 4, the walking route guidance service system according to user movement measurement includes a smart device 100 and a service server 200, which are connected through a communication network.

The smart device 100 calculates the average walking speed by measuring the movement of the user, and when the destination is input, transmits the walking route information request signal including the average walking speed and the destination to the service server 200, (200). That is, the smart device 100 detects the step using the motion measurement value of the sensor unit, calculates the movement distance of the user using the position information measured by the sensor unit, calculates the average number of steps according to the movement distance, . Then, the smart device 100 calculates the average walking speed (average walking speed = moving distance / moving time) by dividing the moving distance by the moving time. When the destination is input, the smart device 100 transmits a walking route information request signal including an average walking speed and a destination to the service server 200.

The smart device 100 measures the movement of the user according to the movement and calculates the movement speed when the movement according to the walking path information is detected and transmits the calculated movement speed information to the service server 200. [ Here, the moving speed information may include moving speed, smart device identification information, and the like.

In addition, when the calculated moving speed is equal to or less than a predetermined threshold speed, the smart device 100 measures the user's biometric information, compares the measured biometric information with pre-stored reference biometric information to determine whether it is normal, And outputs abnormal information. At this time, the smart device 100 may determine whether the user is in a dangerous situation, and may notify the user of a dangerous situation such as a preset contact or an emergency communication network in a dangerous situation.

The smart device 100 refers to a device that can be worn on a human body and may include glasses, watches, bracelets, shoes, rings, belts, bands, necklaces, headsets Headset), clothing, and the like.

The smart device 100 used in the present invention may be configured to measure a user's movement, position, and biometric information. Here, the biometric information may include pulse, blood pressure, blood sugar, blood oxygen saturation (SpO2), and the like. At this time, the smart device 100 can measure biometric information by sensing fundamental physical quantities such as current, voltage, and resistance, which contain biometric information such as pulse, blood pressure, blood sugar, and blood oxygen saturation (SpO2).

The smart device 100 may store an application (or an applet) capable of calculating the movement speed according to the user's movement, and output the walking path information provided from the service server 200 through these applications.

The service application according to the present invention can be installed in the smart device 100 in order to provide the walking route guidance service according to the present invention. The service application installed in the smart device 100 implements the walking path service through the control unit. The service application may be installed from the time of launching the smart device 100, or may be downloaded via a communication network. Or may be transferred to the smart device 100 by connecting the memory device to the smart device 100 in a state where it is recorded in the form of a program file in a separate memory device.

When receiving the walking route information request signal from the smart device 100, the service server 200 generates a walking route from the starting point to the destination, calculates a destination arrival time based on the average walking speed of the walking route, And transmits the walking route information including the arrival time to the smart device 100. Here, the walking route information request signal may include smart device identification information, a starting point, a destination, an average walking speed, and the like. The service server generates a walking route by receiving the starting point and the destination, and can generate the shortening route as a walking route when there is a shortening route passing through the inside of the building among the routes from the starting point to the destination. Also, the service server may generate an optimal gait path considering the number of waiting segments and the travel distance between the departure point and the destination. Then, the service server calculates the destination arrival time using the distance of the walking path and the average walking speed.

The service server 200 recommends a taxi calling service when the moving speed of the smart device 100 is less than a predetermined threshold speed. When the user desires to use the taxi calling service, the service server 200 searches for the empty taxi nearest to the current location of the user, and stores the taxi reservation information including the retrieved empty taxi number, To the smart device 100 of the user, and transmits the user location, user identification information (phone number, smart device identification information, etc.) to the retrieved taxi driver.

A detailed description of this service server will be given with reference to FIG.

In the above description, the smart device 100 is provided with a display unit, and can display route information, destination arrival time, and the like transmitted from the service server 200. However, the smart device 100 may not have a display unit. In this case, the walking route guidance service system according to the user movement measurement may further include a user terminal (not shown).

According to another embodiment of the present invention, the walking route guidance service system according to the user movement measurement includes a user who stores and outputs biometric information measured by the smart device 100, route information received from the service server, destination arrival time, And may further include a terminal.

Accordingly, the present invention allows the smart device 100 and the service server 200 to be linked to the user terminal, thereby providing the user with motion information while the user is not wearing the smart device 100, ) May be provided with a taxi calling service.

The smart device 100 may transmit the measured motion information, biometric information, and location information to a user terminal (e.g., a smart phone) paired with the smart device. For example, data can be transmitted and received using a local area network such as NFC or Bluetooth.

The user terminal may be a PDA (Personal Digital Assistant), a smart phone, a cellular phone, a PCS (Personal Communication Service) phone, a GSM (Global System for Mobile) phone, a W-CDMA (Wideband CDMA) -2000 phone, a Mobile Broadband System (MBS) phone, and the like. Here, the user terminal may represent a portable small device, but may be referred to as a mobile communication terminal when it includes a camcorder or a laptop computer, so that the embodiment of the present invention is not particularly limited thereto.

5 is a block diagram schematically illustrating a configuration of a service server according to an embodiment of the present invention.

5, the service server 200 includes a communication unit 210, a database 220, a walking path service unit 230, a recommendation unit 240, and a control unit 250.

The communication unit 210 can receive the walking route information request from the smart device through the communication network and can transmit the walking route information generated by the walking route service unit 230 to the smart device 100. [ The communication network includes both wired and wireless communication, and the smart device and the service server 200 are interconnected through a communication network.

The communication unit 210 may include various wired communication modules or wireless communication modules and may transmit or receive data through various wireless or wired communication standards. For example, the communication unit 210 may include various standard communication modules such as ITU, IEEE, ISO, and IEC, and may include various communication modules in addition to the standard communication module .

The database 220 includes a map database and a user database.

The map database stores map information including map image information, scale information, and coordinate information. In addition, the map database stores an indoor movement route that enables the user to move between roads on the road. In addition, the map database stores walking information including information such as an indoor moving route passing through the inside of buildings and facilities, a location of entrance and exit, and an access time and the like.

The user database stores user information (name, address, etc.), biometric information, location information, and the like.

These databases 220 may be stored in a relational database management system (RDBMS) such as, for example, Oracle, Infomix, Sybase, DB2, Gemston, Orion, Can be implemented for the purposes of the present invention using the same object-oriented database management system (OODBMS), and can include appropriate fields to achieve their functions.

Although the database 220 is shown as being included and configured in the service server 200, the database 210 may be configured separately from the service server 200, according to the needs of those skilled in the art implementing the present invention.

When the walking path information request signal is received through the communication unit 210, the walking path service unit 230 generates a walking path from the starting point to the destination and calculates a destination arrival time based on the average walking speed of the generated walking path , The walking route information including the walking route and the destination arrival time is transmitted to the smart device. That is, when the walking path information request signal including the smart device identification information, the average walking speed, the starting point, and the destination is received, the walking path service unit 230 uses the map information stored in the map database to calculate the walking path . At this time, the walking path service unit 230 can generate the shortest walking path.

That is, the walking route service unit 230 receives the departure place and the destination and generates a walking route. If there is a shortening route passing through the room of the building among the routes from the starting place to the destination, the shortening route is generated as a walking route can do. At this time, the walking path service unit 230 can generate the walking route based on the road by searching the coordinate information of the starting point and the destination, the map image information of the corresponding coordinates, and the scale information from the map information stored in the map information database. That is, the walking route service unit 230 generates route information based on the road according to the departure location and the destination location, and determines whether or not the building including the indoor travel route is included in the generated route. If it is determined that there is an indoor movement route, the walking route service unit 230 generates route information including the indoor movement route. The walking route guide unit 230 generates at least one of the route information including the road and the route information including the indoor route. Also, the walking path service unit 230 generates an optimal walking path considering the number of waiting segments and the moving distance between the starting point and the destination. The walking path which is movable between the current position space and the target position space is grasped and the walking path which takes the shortest time based on the number of waiting sections including the traveling distance and the crosswalk among the detected walking paths It can also be created by a walking path.

Then, the walking path service unit 230 calculates a destination arrival time based on the average walking speed of the walking path, and transmits the walking path information including the walking path and the destination arrival time to the smart device.

When the movement speed is received from the smart device, the recommendation unit 240 determines whether the movement speed is equal to or less than a preset threshold speed, and recommends a taxi call service if the speed is less than the threshold speed. When the user desires to use the taxi call service, the recommendation unit 230 searches for the vacant taxi nearest to the current position of the user and displays the taxi reservation information including the retrieved empty taxi number, .

Each of the walking path service unit 230 and the recommendation unit 240 may be implemented by a processor or the like necessary for executing a program on a computing device. As described above, the walking path service unit 230 and the recommendation unit 240 may be implemented by physically independent configurations, or may be implemented in a functional manner in one processor.

The control unit 250 controls the operation of various components of the service provider apparatus 200 including the communication unit 210, the database 220, the walking route service unit 230, and the recommendation unit 240.

The control unit 250 may include at least one computing device, which may be a general purpose central processing unit (CPU), programmable device elements (CPLDs, FPGAs) suitably implemented for a particular purpose, Device (ASIC) or a microcontroller chip.

FIG. 6 is a diagram illustrating a walking path guidance service method according to the motion measurement according to the embodiment of the present invention.

Referring to FIG. 6, the smart device measures the movement of the user (S602), and calculates the average walking speed of the user using the measured movement (S604). That is, the smart device detects the step using the motion measurement value of the sensor unit, calculates the movement distance of the user using the position information measured by the sensor unit, and analyzes the average number of steps according to the movement distance as a gait pattern . Then, the smart device divides the moving distance by the moving time to obtain the average walking speed (average walking speed = moving distance / moving time). When a destination is input, the smart device transmits a walking route information request signal including an average walking speed and a destination to a service server.

When the destination is input (S606), the smart device transmits a walking route information request signal including the smart device identification information, the average walking speed, the starting point and the destination to the service server (S608).

The service server generates a walking route from the departure point to the destination (S610), calculates the destination arrival time of the walking route according to the average walking speed (S612), and transmits the walking route information including the calculated destination arrival time to the smart device (S614). At this time, the service server can transmit the walking route together with the destination arrival time.

The service server generates a walking route by receiving the starting point and the destination, and can generate the shortening route as a walking route when there is a shortening route passing through the inside of the building among the routes from the starting point to the destination. Also, the service server may generate an optimal gait path considering the number of waiting segments and the travel distance between the departure point and the destination.

Then, the service server calculates the destination arrival time using the distance of the walking path and the average walking speed, and transmits the calculated destination arrival time to the smart device.

In step S616, the smart device calculates the movement speed by measuring the movement of the user according to the movement of the user in step S616, and transmits the calculated movement speed to the service server in step S620.

The service server determines whether the movement speed transmitted from the smart device is less than a predetermined threshold speed (S622), and recommends a taxi call service if the movement speed is less than the threshold speed (S624). When the user desires to use the taxi calling service, the service server searches for the empty taxi nearest to the current location of the user, and transmits the taxi schedule information including the retrieved empty taxi number, Device, and transmits the user location, user identification information (phone number, smart device identification information, etc.) to the retrieved taxi driver.

The walking route guidance service method according to the user movement measurement can be formed by a program, and the codes and code segments constituting the program can be easily deduced by a programmer in the field. Also, the program related to the walking route guidance service method according to the user movement measurement may be stored in an information storage medium (Readable Media) readable by the electronic device, and readable and executed by the electronic device.

Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are illustrative only and not restrictive of the scope of the invention. It is also to be understood that the flow charts shown in the figures are merely the sequential steps illustrated in order to achieve the most desirable results in practicing the present invention and that other additional steps may be provided or some steps may be deleted .

The technical features and implementations described herein may be implemented in digital electronic circuitry, or may be implemented in computer software, firmware, or hardware, including the structures described herein, and structural equivalents thereof, . Also, implementations that implement the technical features described herein may be implemented as computer program products, that is, modules relating to computer program instructions encoded on a program storage medium of the type for execution by, or for controlling, the operation of the processing system .

The computer-readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter that affects the machine readable propagation type signal, or a combination of one or more of the foregoing.

In the present specification, the term " apparatus "or" system "includes all apparatuses, apparatuses, and machines for processing data, including, for example, a processor, a computer or a multiprocessor or a computer. The processing system may include any code that, in addition to the hardware, forms an execution environment for a computer program upon request, such as, for example, code that constitutes processor firmware, a protocol stack, a database management system, an operating system, can do.

A computer program, known as a program, software, software application, script or code, may be written in any form of programming language, including compiled or interpreted language or a priori, procedural language, Routines, or other units suitable for use in a computer environment.

On the other hand, a computer program does not necessarily correspond to a file in the file system, but may be stored in a single file provided to the requested program or in a plurality of interactive files (for example, one or more modules, File), or a portion of a file that holds another program or data (e.g., one or more scripts stored in a markup language document).

A computer program may be embodied to run on multiple computers or on one or more computers located at one site or distributed across a plurality of sites and interconnected by a wired / wireless communication network.

On the other hand, computer readable media suitable for storing computer program instructions and data include, for example, semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, such as magnetic disks such as internal hard disks or external disks, And any type of non-volatile memory, media and memory devices, including CD and DVD discs. The processor and memory may be supplemented by, or incorporated in, special purpose logic circuits.

Implementations implementing the technical features described herein may include, for example, back-end components such as a data server, or may include middleware components, such as, for example, an application server, Or a client computer having a graphical user interface, or any combination of one or more of such backend, middleware or front end components. The components of the system may be interconnected by any form or medium of digital data communication, for example, a communication network.

Hereinafter, more specific embodiments capable of implementing the configurations including the system described in this specification and the MO service-based benefit providing method will be described in detail.

The system described herein and the gait path guidance service method according to user movement measurements may execute computer software, program code or instructions on one or more processors included in a server or server associated with a client device or a Web-based storage system Lt; RTI ID = 0.0 > and / or < / RTI > The processor may be part of a computing platform, such as a server, a client, a network infrastructure, a mobile computing platform, a fixed computing platform, and the like, and may specifically be a type of computer or processing device capable of executing program instructions, code, The processor may further include a memory for storing a walking route guidance service method, an instruction word, a code, and a program according to user movement measurement. If the memory does not include a memory, Access to storage devices such as CD-ROMs, DVDs, memories, hard disks, flash drives, RAMs, ROMs, caches, etc. in which service instructions,

In addition, the system and the walking path guidance service method according to user movement measurement described herein can be used partly or entirely through a server, a client, a gateway, a hub, a router, or an apparatus executing computer software on network hardware. The software may be executed in various types of servers such as a file server, a print server, a domain server, an Internet server, an intranet server, a host server, a distributed server, A storage medium, a communication device, a port, a client, and other servers via a wired / wireless network.

In addition, a walking route guidance service method, an instruction word, a code, etc. according to user movement measurement can also be executed by the server, and other devices necessary for executing the walking route guidance service method according to the user movement measurement are classified into a hierarchical structure ≪ / RTI >

In addition, the server can provide an interface to other devices including, without limitation, clients, other servers, printers, database servers, print servers, file servers, communication servers, distributed servers, The remote execution of the program can be facilitated.

Also, any of the devices connected to the server via the interface may further include at least one storage device capable of storing a method, command, code, etc., for issuing a verified OTP application, and the central processor of the server may be on a different device A command to be executed, code, and the like may be provided to the device and stored in the storage device.

Meanwhile, the system described in the present specification and the walking route guidance service method according to user movement measurement can be partially or entirely used through a network infrastructure. The network infrastructure may include both a device such as a computing device, a server, a router, a hub, a firewall, a client, a personal computer, a communication device, a routing device, etc. and a separate module capable of performing each function, In addition to one device and module, it may further include storage media such as a story flash memory, buffer, stack, RAM, ROM, and the like. Also, the walking route guidance service method, command word, code, etc. according to the user's movement measurement can be executed and stored by any of devices, modules, and storage media included in the network infrastructure, Other devices needed to implement the service method may also be implemented as part of the network infrastructure.

In addition, the system and the walking route guidance service method according to the user motion measurement described herein can be implemented by hardware or a combination of hardware and software suitable for a specific application. Herein, the hardware includes both general-purpose computer devices such as personal computers, mobile communication terminals, and enterprise-specific computer devices, and the computer devices may include memory, a microprocessor, a microcontroller, a digital signal processor, an application integrated circuit, a programmable gate array, Or the like, or a combination thereof.

Computer software, instructions, code, etc., as described above, may be stored or accessed by a readable device, such as a computer component having digital data used to compute for a period of time, such as RAM or ROM Permanent storage such as semiconductor storage, optical disc, large capacity storage such as hard disk, tape, drum, optical storage such as CD or DVD, flash memory, floppy disk, magnetic tape, paper tape, Memory such as storage and dynamic memory, static memory, variable storage, network-attached storage such as the cloud, and the like. Here, the commands and codes are data-oriented languages such as SQL and dBase, system languages such as C, Objective C, C ++, and assembly, architectural languages such as Java and NET, application languages such as PHP, Ruby, Perl and Python But it is not so limited and may include all languages well known to those skilled in the art.

In addition, "computer readable media" as described herein includes all media that contribute to providing instructions to a processor for program execution. But are not limited to, transmission media such as coaxial cables, copper wires, optical fibers, and the like that transmit data to nonvolatile media such as data storage devices, optical disks, magnetic disks, etc., volatile media such as dynamic memory and the like.

On the other hand, configurations implementing the technical features of the present invention, which are included in the block diagrams and flowcharts shown in the accompanying drawings, refer to the logical boundaries between the configurations.

However, according to an embodiment of the software or hardware, the depicted arrangements and their functions may be implemented in the form of a stand alone software module, a monolithic software structure, a code, a service and a combination thereof and may execute stored program code, All such embodiments are to be regarded as being within the scope of the present invention since they can be stored in a medium executable on a computer with a processor and their functions can be implemented.

Accordingly, the appended drawings and the description thereof illustrate the technical features of the present invention, but should not be inferred unless a specific arrangement of software for implementing such technical features is explicitly mentioned. That is, various embodiments described above may exist, and some embodiments may be modified while retaining the same technical features as those of the present invention, and these should also be considered to be within the scope of the present invention.

It should also be understood that although the flowcharts depict the operations in the drawings in a particular order, they are shown for the sake of obtaining the most desirable results, and such operations must necessarily be performed in the specific order or sequential order shown, Should not be construed as being. In certain cases, multitasking and parallel processing may be advantageous. In addition, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems are generally integrated into a single software product, It can be packaged.

As such, the specification is not intended to limit the invention to the precise form disclosed. While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is evident that many alternatives, modifications, and variations will be apparent to those skilled in the art without departing from the spirit and scope of the present invention as defined by the appended claims. It is possible to apply a deformation.

The scope of the present invention is defined by the appended claims rather than the foregoing description, and all changes or modifications derived from the meaning and scope of the claims and equivalents thereof are deemed to be included in the scope of the present invention. .

The present invention provides a walking route guidance service system and method according to user movement measurement, so that it is possible to confirm a scheduled arrival time to a destination according to an average walking speed of a user, thereby allowing a user to reach a destination within a predetermined time .

Also, if the user's moving speed is below a certain speed or too slow, by recommending a taxi calling service, the user can be able to arrive at the destination within a predetermined time.

Further, if the moving speed of the user is less than or equal to a predetermined speed, the user's biometric information is measured, thereby determining the reason for the slowing of the stepping, and the user's health state can be determined.

100: Smart devices
110:
120: Reference information generating unit
130:
140: Personalization Service Department
150, 250:
160:
170:
180:
200: service server
210:
220: Database
230: Walking path service section
240: Recommendation

Claims (8)

A sensor unit for measuring movement and position information of a user;
A reference information generating unit for calculating an average walking speed using the measured motion and position information; And
A walking route guide unit for generating a walking route from a starting point to a destination and calculating a destination arrival time of the walking route according to the average walking speed;
And a walking route guidance service providing unit.
The method according to claim 1,
A personalization service for recommending a taxi calling service when the calculated traveling speed is less than a preset threshold speed, Wherein the walking route guidance service providing apparatus further comprises:
3. The method of claim 2,
The sensor unit measures the biometric information of the user,
Wherein the personalization service unit compares the measured biometric information measured by the sensor unit with previously stored reference biometric information to determine whether the calculated moving speed is less than a predetermined threshold speed and outputs abnormal information when the calculated abnormal moving speed is abnormal Of the walking route guide service.
The method according to claim 1,
And a storage unit in which map information is stored.
A walking route information request signal including the average walking speed and the destination is transmitted to the service server, and the walking route information is transmitted from the service server to the service server, And calculates a movement speed using movement and position information of the user in accordance with the movement when the movement based on the walking route information is detected and transmits the calculated movement speed information to the service server ; And
And a controller for generating a walking route from the starting point to the destination according to the walking route information request signal, calculating a destination arrival time of the walking route based on the average walking speed, calculating walking route information including the walking route and the destination arrival time To the smart device, and recommends a taxi calling service when the moving speed of the smart device is less than a predetermined threshold speed;
Wherein the walking route guidance service system comprises:
A method for providing a walking route guidance service according to user movement measurement,
(a) measuring movement and position information of a user;
(b) calculating and storing an average walking speed using the measured motion and position information;
(c) generating a walking path from a starting point to a destination when a destination is input; And
(d) calculating a destination arrival time based on the average walking speed of the walking route;
The method comprising the steps of:
The method according to claim 6,
After the step (d)
Calculating a movement speed by measuring movement and position information of the user in accordance with the movement when the movement according to the walking path is detected and recommending a taxi call service when the calculated movement speed is less than a predetermined threshold speed And further comprising a user movement measurement.
The method according to claim 6,
After the step (d)
The moving speed is calculated by measuring the movement of the user in accordance with the movement, and when the calculated moving speed is less than the predetermined threshold speed, the user's biometric information is measured, And outputting the result of the comparison. The method of any of the preceding claims,

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