KR102103735B1 - Correction mehtod for motion recognition in correction system of motion recognition - Google Patents

Abstract

The present invention relates to a motion recognition correction method, and more specifically, a motion recognition correction system capable of correcting a recognition result using pre-stored information for each terminal model for a motion or section having a high misrecognition rate when performing motion recognition in the terminal. It relates to a method for correcting motion recognition in.
For this, in the motion recognition correction method in the motion recognition correction system according to an embodiment of the present invention, when the result information according to the motion recognition is received from the terminal, the recognition rate for the detailed step-by-step operation is determined using the result information according to the motion recognition. The step of confirming, the step of confirming, the detailed step-by-step operation in which the recognition rate is less than a preset value may be performed by updating an operation parameter using a correction algorithm and transmitting the updated operation parameter to the terminal.

Description

A method of correcting motion recognition in a motion recognition correction system {CORRECTION MEHTOD FOR MOTION RECOGNITION IN CORRECTION SYSTEM OF MOTION RECOGNITION}

The present invention relates to a method for correcting motion recognition, and more specifically, for a motion or section having a high misrecognition rate when performing motion recognition in a terminal, a motion recognition correction capable of correcting a recognition result by using information previously stored for each terminal model It relates to a method for correcting motion recognition in a system.

The contents described in this section merely provide background information for the present embodiment, and do not constitute a prior art.

Due to the rapid development of information and communication technology, various types of terminals, such as mobile communication terminals and personal computers, are implemented to perform various functions.

Taking the mobile communication terminal as an example, the mobile communication terminal goes beyond basic voice communication functions so that data communication, photo or video shooting using a camera, music or video file playback, games, and broadcast viewing can be used in recent years. Is being implemented.

The development of technology to increase the functions that can be executed in such a terminal is continuously being made, and the hardware improvement technology as well as the software improvement technology are continuously being performed.

On the other hand, with the development of terminals, user interfaces for convenient use of terminals have also been developed. In particular, recently, various types of motion recognition sensors such as a gyro sensor and an acceleration sensor built into a terminal recognize a motion of a terminal according to a user's motion, and recognize a motion that performs a predefined function for the recognized motion. Method is implemented and applied.

For example, when the user rotates the terminal from portrait to landscape or from landscape to portrait, the terminal can recognize this through a motion recognition sensor and output a screen suitable for the rotated direction. You can perform various functions, such as deleting a specific message through the shaking operation.

However, in the terminal control method to which the motion recognition technology has been applied to date, there are many recognition errors with respect to sophisticated motions, and thus, simple motions are predominant. Therefore, in order to control the terminal in more various ways, a technique capable of correcting errors due to motion recognition is required, but the performance of the motion recognition sensors provided for each terminal is different, and there is still difficulty in implementing the motion recognition correction technology. .

Published Korean Patent No. 2013-0032994, published on April 3, 2013 (Name: Operation device and method of mobile terminal using motion recognition)

The present invention has been proposed to solve the above-mentioned conventional problems, and particularly provides a method for correcting motion recognition in a motion recognition correction system in which a motion recognition correction system can manage motion parameters applied to motion recognition for each terminal. There is a purpose.

In addition, the present invention, when the motion recognition correction system receives the result information according to the motion recognition from the terminal, calculates the recognition rate according to the motion recognition, and compensates for the operation whose recognition rate is less than a preset value according to a correction algorithm to provide to the terminal An object of the present invention is to provide a method for correcting motion recognition in a motion recognition correction system.

However, the object of the present invention is not limited to the above object, and other objects not mentioned will be clearly understood from the following description.

A method for correcting motion recognition in a motion recognition correction system according to an embodiment of the present invention for achieving the above-described object, when result information according to motion recognition is received from a terminal in the motion recognition correction system, according to the motion recognition Checking a recognition rate for a detailed step-by-step operation using the result information; As a result of the check, updating the operation parameters using a correction algorithm for detailed step-by-step operation in which the recognition rate is less than a preset value; And passing the updated operation parameter to the terminal.

At this time, before the step of checking the recognition rate, terminal model information, operation ID (ID), operation version information, final recognition success or failure information, detailed step number, detailed step recognition success or failure information, detailed step operation from the terminal And receiving result information according to motion recognition including at least one of the parameters.

At this time, prior to the step of checking the recognition rate, receiving one or more information from the terminal; And determining whether the information received from the terminal is result information according to motion recognition.

In addition, the step of checking the recognition rate may include checking terminal model information and operation ID among result information according to the operation recognition received from the terminal; The terminal model by reflecting values corresponding to detailed success or failure information, final recognition success or failure information, among detailed result information according to the operation recognition, in the pre-stored statistical data corresponding to the identified terminal model information and operation ID. Recalculating statistical data corresponding to the information; And using the recalculated statistical data to check the recognition rate for the detailed step-by-step operation; may be achieved.

In addition, the step of updating the operation parameter may include: checking an operation parameter including rotation angle, operation execution time, and angular velocity information for a detailed step-by-step operation in which the identified recognition rate is less than a preset value; And performing a correction operation on the identified operation parameter using a specified correction algorithm and updating the operation parameter using the performed result.

At this time, when performing the calculation operation of the identified operation parameter using a specified correction algorithm, a correction operation on the operation parameter may be performed using the recognition rate.

In addition, the step of transmitting to the terminal may include updating the updated operation parameter through the correction operation to an operation parameter corresponding to the terminal model information, and updating the operation version information for the operation parameter; Storing the updated information as statistical data corresponding to the terminal model information; And transmitting operation version information together with the updated operation parameter to the terminal.

In addition, after the step of transmitting to the terminal, the terminal storing the updated operation parameter and operation version information; And when the terminal detects an operation for recognizing a motion from the user, generating result information according to the motion recognition by using the stored motion parameter.

In addition, the present invention can provide a computer-readable recording medium recording a program for executing a motion recognition correction method in a motion recognition correction system according to an embodiment of the present invention as described above.

According to the motion recognition correction method in the motion recognition correction system of the present invention, the motion recognition correction system comprehensively manages motion parameters applied to motion recognition for each terminal, thereby real-time statistical data such as recognition rate and misrecognition rate for motion recognition. It becomes manageable.

In addition, according to the present invention, when the motion recognition correction system receives the result information according to the motion recognition from the terminal, calculates the recognition rate according to the motion recognition, and compensates for the operation whose recognition rate is less than a preset value according to a correction algorithm to the terminal By providing, it is possible to correct the operation and the section having a high misrecognition rate, and provide it to the terminal to improve the recognition rate of motion recognition in the terminal.

For this reason, the present invention has an excellent effect of increasing the convenience of the user who wants to control the terminal in a motion recognition manner.

In addition, various effects other than the above-described effects may be directly or implicitly disclosed in a detailed description according to an embodiment of the present invention to be described later.

1 illustrates a structure of a communication network to which a motion recognition correction system according to an embodiment of the present invention is applied.
2 is a configuration diagram schematically showing a main configuration of a motion recognition correction system according to an embodiment of the present invention.
3 is a flowchart schematically illustrating a method for correcting motion recognition according to an embodiment of the present invention.
4 to 7 are flowcharts for explaining the motion recognition correction method according to an embodiment of the present invention in more detail.
8 is an example of a data format for describing result information according to motion recognition according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings will be described in detail preferred embodiments that can be easily carried out by the person of ordinary skill in the art. However, in the detailed description of the operating principle for the preferred embodiment of the present invention, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. This is to more clearly communicate the core of the present invention by omitting unnecessary description. In addition, the present invention can be applied to various changes and can have various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description, but this is not intended to limit the present invention to specific embodiments. It should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

In addition, terms including ordinal numbers such as first and second are used to describe various components, and are used only to distinguish one component from other components, and to limit the components It is not used. For example, the second component may be referred to as a first component without departing from the scope of the present invention, and similarly, the first component may also be referred to as a second component.

In addition, when referring to a component being "connected" or "connected" to another component, it means that it can be connected or connected logically or physically. In other words, it may be understood that a component may be directly connected to or connected to other components, but other components may exist in the middle and may be connected or connected indirectly.

In addition, the terms used herein are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In addition, terms such as "comprises" or "have" described herein are intended to designate the existence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, or one or more thereof. It should be understood that the above or other features or numbers, steps, operations, components, parts or combinations thereof are not excluded in advance.

Now, a method of correcting motion recognition in a motion recognition correction system according to an embodiment of the present invention will be described in detail with reference to the drawings. At this time, the same reference numerals are used for parts having similar functions and actions throughout the drawings, and duplicate descriptions thereof will be omitted.

First, a motion recognition correction system in which the motion recognition correction method of the present invention is implemented will be described.

1 is a block diagram showing the structure of a communication network to which a motion recognition correction system according to an embodiment of the present invention is applied, and FIG. 2 is a configuration diagram schematically showing a main configuration of a motion recognition correction system according to an embodiment of the present invention .

First, referring to FIG. 1, the motion recognition correction system 300 according to an embodiment of the present invention may receive result information according to motion recognition from the terminal 100 through the access network 410 and the core network 420. have. Then, the motion recognition correction system 300 checks the recognition rate for the step-by-step operation using the result information according to the motion recognition received from the terminal 100, and when the recognition rate is less than a preset value, the motion recognition correction system 300 Correspondingly, by updating the previously stored operation parameter and transmitting the updated operation parameter to the terminal 100, it is possible to correct the result according to the operation recognition.

The terminal 100 applied to the present invention is a user's device capable of transmitting and receiving various information according to a user's operation, a browser for transmitting and receiving information, a memory storing programs and protocols, and executing various programs to calculate and It may be provided with a microprocessor for controlling. In particular, the terminal 100 according to an embodiment of the present invention recognizes an operation according to a user's movement by using an operation parameter transmitted from the motion recognition correction system 300, and displays result information according to the recognized motion recognition. The process of generating and transmitting it back to the motion recognition correction system 300 may be performed.

In addition, the terminal 100 according to an embodiment of the present invention may be configured to include various communication modules, and may be connected to the core network 420 through an access network 410 supporting different communication methods.

The terminal 100 described in the specification of the present invention may be implemented in various forms. For example, mobile terminals such as smart phones, tablet PCs, personal digital assistants (PDAs), portable multimedia players (PMPs), MP3 players, as well as smart TVs and desktop computers A fixed terminal such as the above may be used, and the terminal 100 of the present invention can be enumerated by all the variations of the portable device according to the trend of convergence of digital devices, but not all of them. A level unit can be used as the terminal 100 according to the present invention. In addition, the terminal (terminal, 100) of the present invention is a non-AP STA, wireless transmit / receive unit (WTRU), user equipment (User Equipment, UE), mobile station (Mobile Station, MS), portable terminal (Mobile) Terminal) or a mobile subscriber unit (Mobile Subscriber Unit).

The access network (410a, 410b, 410c, hereinafter referred to as 410 when no separate classification is necessary) performs wired / wireless communication with the terminal 100 of the present invention, and accesses the terminal 100 to the core network 420 It means a relay point to support. When the access network 410 supports wired communication, it supports access to the core network 420 of the terminal 100 that is physically connected to itself, and when it supports wireless communication, a certain geographic range in which it is serviced, that is, It serves to support the core network 420 access to the terminal 100 located in the access coverage.

In addition, the terminal 100 of the present invention may be selectively connected to any one access network 410 between a plurality of access networks 410, and handover between heterogeneous or homogeneous access networks 410 according to the movement of the terminal 100 You can also perform the process.

The access network 410 of the present invention may be configured to include different access devices (200a, 200b, 200c, hereinafter referred to as 200 when no distinction is required) according to the communication method in which they operate. For example, when the first access network 410a is a wireless access network that communicates according to the IEEE 802.11 protocol, the first access device 200a is a Wi-Fi access point (AP) supporting the IEEE 802.11 protocol. access point). In addition, when the second access network 410b is implemented as a wireless access network communicating according to the IEEE 802.16e protocol method, the second access device 200b at this time may be a radio access station (RAS) 220.

In addition, when the third access network 410c supports 3GPP / WCDMA (Wideband Code Division Multiple Access) communication protocol, the third access device 400b may be a NodeB, and the third access network 410c may be LTE (Long When supporting the Term Evolution) communication protocol, the third access device 200c may be implemented as an eNode B. In addition, the access network 410 may be implemented by a wired communication method, the access device 200 at this time is Ethernet (Ethernet), xDSL (ADSL, VDSL), HFC (Hybrid Fiber Coaxial Cable), FTTC (Fiber to The Curb) ), Or FTTH (Fiber To The Home).

In addition, in the drawing, the connection device 200 is illustrated as an example of being implemented as one device, but is not limited thereto, and in order to support access to the core network 420 of the terminal 100, the connection device 200 May be implemented by being divided into a base station and a base station controller. In another method, the access device 200 divides the digital signal processing unit and the wireless signal processing unit, which are integrally implemented, into digital units (DUs) and radio units (RUs), respectively. It may be configured by installing a plurality of RUs in each, and connecting a plurality of RUs with a centralized DU.

The core network 420 is a network system that performs a main function for mobile communication services such as mobility control and switching between access networks 410, and performs circuit switching or packet switching, and within the network. It manages and controls the packet flow in. In addition, the core network 420 may manage mobility between frequencies and may serve to interwork with traffic in the access network 410 and the core network 420 and other networks, such as an Internet network (not shown). The core network 420 may be composed of a plurality of entities performing the above-described functions. For example, SGW (Serving GateWay), PGW (PDN GateWay), MSC (Mobile Switching Center), HLR (Home Location Register), MME (Mobile Mobility Entity) and HSS (Home Subscriber Server) may be implemented.

In the structure of such a communication network, the motion recognition correction system 300 of the present invention is connected to the core network 420 and receives result information according to the motion recognition transmitted by the terminal 100 delivered through the core network 420. And, it may support the role of passing the corrected operation parameter to the terminal 100.

When the motion recognition correction system 300 of the present invention is described in more detail with reference to FIG. 2, the motion recognition correction system 300 of the present invention includes a gateway 310, a statistics server 320, and a motion management server ( 330) and an operation correction server 340.

First, the gateway 310 serves to receive result information according to the motion recognition transmitted from the terminal 100 via the access device 200. At this time, the gateway 310 may receive result information according to motion recognition transmitted through a wireless base station such as Node B, eNodeB, and result information according to motion recognition transmitted through a wireless mobile communication network, , It is possible to receive result information according to motion recognition transmitted through the wireless Internet. Here, the gateway 310 of the present invention may receive various information that is transmitted from the terminal 100 to the core network 420 other than the result information according to the operation recognition from the terminal 100 according to the system implementation method. In this case, the gateway 310 determines whether information transmitted from the terminal 100 is result information according to motion recognition and, if it is result information according to motion recognition, serves to deliver it to the statistics server 320 Can be done. In addition, the gateway 310 of the present invention may perform a role of controlling to be delivered to the terminal 100 through the corresponding access device 200 when the corrected operation parameter is transmitted from the operation management server 330. .

In addition, the result information according to the motion recognition described in the present invention means all information generated in the process of recognizing the user's motion in the corresponding terminal 100, for example, terminal model information, operation ID (ID), operation version Information, final recognition success or failure information, detailed step number, detailed step recognition success or failure information, detailed step operation parameters may be included.

For example, when the user performs an operation of moving a user's hand with a fist and moving from left to right, the final recognition success or failure information means recognition success or failure information when the operation is completed, and detailed steps Recognition success or failure information means recognition success or failure information for each step by step when the user punches his or her hand and moves gradually from left to right. In addition, the detailed step operation parameter may be a concept including a result value of sensing the user's motion in the detailed step, for example, rotation angle, operation execution time, and angular velocity information. In addition, the operation version information refers to information on the update history of the operation parameter, and the operation ID (ID) refers to identification information set to distinguish between operations.

The statistics server 320 may serve to store and manage information necessary for motion recognition for each terminal model. That is, the statistical server 320 of the present invention may store and manage statistical data necessary for motion recognition correction in response to terminal model information, wherein the statistical server 320 provides statistical data required for each detailed operation and for all operations. It can be stored and managed. For example, the statistics server 320 may store and manage necessary statistical data in the following table form.

Terminal model information Operation ID Detailed Step Number Operation version information Awareness success Number of recognition failures Recognition rate DEVICE-A 00001 One 1.0 900 30 96.7 2 1.0 670 150 81.7 DEVICE-B
00001 One 1.0 510 252 49.4 2 1.0 640 120 83.2 00002 One 1.0.1 380 58 76.3 2 1.0.1 210 2 98.2

Terminal model information Operation ID Operation version information Total recognition success Total recognition failures Recognition rate DEVICE-A 00001 1.0 1570 180 88.95 DEVICE-B 00001 1.0 1150 372 66.3 00002 1.0.1 590 60 87.25

The above <Table 1> is statistical data for detailed operations, and <Table 2> is statistical data for all operations. As described above, the statistical server 320 may construct statistical data corresponding to terminal model information for each detailed operation and for each entire operation, and may store and store the statistical data in an integrated form.

In this state, when the result information according to the operation recognition is received from the gateway 310, the statistics server 320 checks the terminal model information and the operation ID among the result information according to the operation recognition, and the terminal model information and the operation ID In response to this, the statistical data corresponding to the terminal model information is recalculated by reflecting the values corresponding to the success or failure information of the detailed step-by-step recognition among the result information according to the motion recognition in the pre-stored statistical data, the final recognition success or failure information Is done.

For example, if the identified terminal model information and the operation ID among the result information according to the operation recognition received from the terminal 100 and the operation ID are DEVICE-A and 00001 in <Table 1>, the statistics server 320 displays the DEVICE -The statistical data corresponding to A and 00001 reflects the value corresponding to the success or failure information of the detailed step-by-step recognition information among the result information according to the motion recognition, and the final recognition success or failure information, thereby determining the number of successful and unsuccessful recognition of each step. It recalculates and recalculates the recognition rate of each step. In addition, when the recognition rate recalculated is less than a preset value, the statistics server 320 checks the operation parameter for the detailed step-by-step operation among the result information according to the operation recognition received from the terminal 100, and operates a correction request therefor It can be delivered to the management server 330. At this time, the statistics server 320 may transmit the operation version information together with the operation parameters to the operation management server 330. Subsequently, when updated operation parameters and updated operation version information are transmitted from the operation management server 330, it may support a process of storing them as statistical data corresponding to the terminal model information.

The motion management server 330 performs overall control of the motion recognition correction system 300 of the present invention, and when a motion request including information on motion parameters is received from the statistics server 320, the motion management server 330 340). At this time, the motion management server 330 may construct and store information on the received motion parameters in a table form before transmitting the motion compensation server 340. Then, when the updated operation parameter is received from the operation correction server 340, the operation parameter may be transmitted to the statistics server 320. At this time, the operation version information indicating that the operation parameter has been updated is updated to update the updated operation version information. Together, you can perform the update process.

The motion correction server 340 serves to correct motion recognition according to an embodiment of the present invention. That is, when information on an operation parameter that needs to be updated is received from the operation management server 330, a correction operation is performed. At this time, a correction operation on the operation parameter is performed using the specified correction algorithm. When performing the correction operation, the value of the operation parameter may be adjusted by referring to the recognition rate. In addition, when the operation parameter is updated, the operation correction server 340 transmits the updated operation parameter to the operation management server 330, and the operation management server 330 updates the operation version information and then updates the operation version information. ) To be transmitted to the terminal 100.

In the above, the structure of the communication network to which the motion recognition correction system 300 according to the embodiment of the present invention is applied and the main configuration of the motion recognition correction system 300 have been described.

The processor mounted in each device according to the embodiment of the present invention can process a program instruction for executing the method according to the present invention. In one implementation, this processor may be a single-threaded processor, and in other implementations, the processor may be a multithreaded processor. Furthermore, the processor is capable of processing instructions stored on a memory or storage device.

In addition, each server constituting the motion recognition correction system 300 of the present invention has the same configuration as a conventional web server or a network server in hardware. However, software includes program modules implemented through languages such as C, C ++, Java, Visual Basic, and Visual C. Each server may be implemented in the form of a web server or a network server, and the web server is generally connected to an unspecified number of clients and / or other servers through an open computer network such as the Internet, and performs the work of the client or other web server. Refers to a computer system that accepts requests and derives and provides work results and computer software (web server programs) installed therefor. However, in addition to the above-described web server program, it should be understood as a broad concept including a series of application programs running on a web server and, in some cases, various databases built therein. Each server constituting the motion recognition correction system 300 of the present invention is based on operating systems such as DOS, Windows, Windows, Linux, UNIX, and Macintosh, in general server hardware. It can be implemented using various provided web server programs. Typical examples include websites (Website), IIS (Internet Information Server) used in Windows environments, and CERN, NCSA, and APPACH used in Unix environments. Can be.

In addition, each server constituting the motion recognition correction system 300 of the present invention may operate in a cloud computing method. Here, cloud computing is a virtualized information technology (IT) resource, for example, hardware (server, storage, network, etc.), software using Internet technology in digital terminals such as desktops, tablet computers, laptops, netbooks, and smartphones. (Database, security, web server, etc.), service, data, etc. on-demand (On demand) means a technology that serves.

In addition, the motion recognition correction system 300 of the present invention is implemented by being divided into a gateway 310, a statistics server 320, a motion management server 330, and a motion correction server 340 for convenience of explanation. For example, the present invention is not limited thereto, and each device may be implemented through a single server, and the gateway 310, the statistics server 320, the operation management server 330, and the operation correction server 340 It may exist in the form of a module that performs the corresponding function in one server.

In addition, in order to perform motion recognition correction in the motion recognition correction system 300 of the present invention, a memory for storing necessary information stores information in the device. In one implementation, the memory is a computer-readable medium. In one implementation, the memory may be a volatile memory unit, and in other implementations, the memory may be a non-volatile memory unit. In one embodiment, the storage device is a computer-readable medium. In various different implementations, the storage device may include, for example, a hard disk device, an optical disk device, or some other mass storage device.

Although the specification and drawings describe exemplary device configurations, the functional operations and subject implementations described herein may be implemented with other types of digital electronic circuits, or the structures disclosed herein and their structural equivalents. It may be implemented in the included computer software, firmware or hardware, or a combination of one or more of them. Implementations of the subject matter described herein are one or more computer program products, that is, one for computer program instructions encoded on a tangible program storage medium to control or thereby execute the operation of a device according to the present invention. It can be implemented as the above modules. The computer-readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of materials affecting a machine-readable propagated signal, or a combination of one or more of these.

Hereinafter, a method for correcting motion recognition according to an embodiment of the present invention will be described.

3 is a flowchart schematically illustrating a method for correcting motion recognition according to an embodiment of the present invention.

Referring to FIG. 3, in the method for correcting motion recognition according to an embodiment of the present invention, when the result information according to motion recognition is received from the terminal 100 by the motion recognition correction system 300 (S100), the recognition rate for detailed step-by-step operation Check (S200), if the recognition rate is less than a preset value, update the operation parameters using the specified correction algorithm (S300), and pass the updated operation parameters to the terminal 100 (S400). have.

The detailed steps will be described in more detail with reference to FIGS. 4 to 8.

4 to 7 are flowcharts for more specifically describing a method for correcting motion recognition according to an embodiment of the present invention, and FIG. 8 is an example of a data format for describing result information according to motion recognition according to an embodiment of the present invention It is.

First, referring to FIG. 4, the gateway 310 of the motion recognition correction system 300 may receive various information that the terminal 100 delivers to the core network 420 (S110). At this time, the gateway 310 may receive result information according to motion recognition transmitted through a wireless base station such as Node B, eNodeB, and result information according to motion recognition transmitted through a wireless mobile communication network, , It is possible to receive result information according to motion recognition transmitted through the wireless Internet.

When the information transmitted by the terminal 100 is received, the gateway 310 determines whether the received information is result information according to operation recognition (S120). At this time, the gateway 310 may check the destination address of the received information or the data format type to determine whether it is the result information according to the operation recognition.

As a result of the determination, if it is not the result information according to the motion recognition, the gateway 310 does not perform a special process, and when it is the result information according to the motion recognition, it transmits it to the statistics server 320. In addition, the result information according to the motion recognition may be expressed in a data format as shown in FIG. 8A. That is, the detailed operation information may include terminal model information, operation ID (ID), operation version information, detailed step number, recognition success / failure, rotation angle, angular velocity, operation execution time, and overall operation information May include terminal model information, operation ID, operation version information, and whether the entire recognition is successful / failed. Here, the success / failure may be expressed as 0 in case of success or 1 in case of failure. In addition, the detailed operation-specific information and overall operation information may be received from the terminal 100 in one data format.

When the information according to the motion recognition is received, the statistical server 320 checks the terminal model information among the result information according to the motion recognition (S210). At this time, the statistics server 320 may further check the operation ID among the result information according to the operation recognition, and may check pre-stored statistical data corresponding to the terminal model information and the operation ID (S220). In addition, the statistics server 320 reflects values corresponding to detailed success or failure information, final recognition success or failure information of detailed stages among the result information according to the motion recognition in the statistical data, and statistics corresponding to the terminal model information The data is recalculated.

For example, if the identified terminal model information and the operation ID among the result information according to the operation recognition received from the terminal 100 and the operation ID are DEVICE-A and 00001 in <Table 1>, the statistics server 320 displays the DEVICE -The statistical data corresponding to A and 00001 reflects the value corresponding to the success or failure information of the detailed step-by-step recognition information among the result information according to the motion recognition, and the final recognition success or failure information, thereby determining the number of successful and unsuccessful recognition of each step. It recalculates and recalculates the recognition rate of each step. In addition, the statistics server 320 may determine whether the recalculated recognition rate is less than a predetermined value (S240).

Referring to FIG. 6 for the subsequent process, the statistics server 320 identifies the detailed step number for the detailed step in which the recognition rate is less than a preset value, and among the result information according to the motion recognition received from the terminal 100 The operation parameters for the detailed step-by-step operation are checked (S310). Thereafter, the statistics server 320 may transmit a request for correction for the identified operation parameter to the operation management server 330. At this time, the statistics server 320 may transmit the operation version information together with the operation parameters to the operation management server 330. Upon receiving this, the motion management server 330 transmits a request for correction for the motion parameter to the motion correction server 340, and the motion correction server 340 performs a correction operation using the correction algorithm using the correction algorithm ( S320), the operation parameter is updated according to the correction operation (S330).

Referring to FIG. 7 for a subsequent process, the motion correction server 340 transmits the updated motion parameters to the motion management server 330, and the motion management server 340 updates the motion parameters to inform them. The operation version information is updated (S410).

Then, the operation management server 330 transmits the updated operation parameter and operation version information to the statistics server 320, and when the updated operation parameter and the updated operation version information are transmitted, the operation server 330 sends the updated operation parameter and operation version information to the terminal. The process of storing as statistical data corresponding to model information may be supported (S420).

At the same time, the operation management server 330 transmits operation parameters and operation version information for the changed detailed steps to the terminal 100 (S430). At this time, an example of a data format that the operation management server 330 delivers to the terminal 100 is illustrated in FIG. 8B. Here, in the case of whether the last correction data is present, a field for indicating whether or not the last correction data exists in information transmitted in a packet unit, and may be expressed as 0 when there is more correction data or 1 when there is no correction data.

Upon receiving this, the terminal 100 may perform motion recognition using the updated motion parameter.

As described above, according to the motion recognition correction method in the motion recognition correction system of the present invention, the motion recognition correction system comprehensively manages the motion parameters applied to the motion recognition for each terminal, so that statistics such as recognition rate, misrecognition rate, etc. for motion recognition Data can be managed in real time.

In addition, according to the present invention, when the motion recognition correction system receives the result information according to the motion recognition from the terminal, calculates the recognition rate according to the motion recognition, and compensates for the operation whose recognition rate is less than a preset value according to a correction algorithm to the terminal By providing, it is possible to correct the operation and the section having a high misrecognition rate, and provide it to the terminal to improve the recognition rate of motion recognition in the terminal.

For this reason, the present invention has an excellent effect of increasing the convenience of the user who wants to control the terminal in a motion recognition manner.

The method for correcting motion recognition in the motion recognition correction system according to an embodiment of the present invention has been described above. The motion recognition correction method in the motion recognition correction system of the present invention as described above may be provided in the form of a computer readable medium suitable for storing computer program instructions and data. The program recorded in the recording medium for implementing the motion recognition correction method in the motion recognition correction system according to an embodiment of the present invention receives the result information according to the motion recognition when the result information according to the motion recognition is received from the terminal. Checking the recognition rate for the detailed step-by-step operation using the above, as a result of the verification, updating the operation parameter using a correction algorithm for the detailed step-by-step operation in which the recognition rate is less than a preset value and delivering the updated operation parameter to the terminal And the like.

At this time, the program recorded on the recording medium can be read, installed and executed on a computer to execute the above-described functions.

Here, in order for a computer to read a program recorded on a recording medium and execute functions implemented as a program, the above-described programs are C, C ++, which can be read by a computer's processor (CPU) through a device interface of the computer, It may include code coded in a computer language such as JAVA or machine language.

Such code may include a function code related to a function defining functions described above, and the like, and control code related to an execution procedure necessary for a processor of a computer to execute the functions described above according to a predetermined procedure. In addition, the code may further include memory reference-related code as to which location (address address) of the computer's internal or external memory should be referred to additional information or media necessary for the computer's processor to perform the functions described above. . In addition, when the processor of the computer needs to communicate with any other computer or server in the remote in order to execute the above-described functions, the code indicates that the computer's processor is in remote using the computer's communication module. It may further include communication-related codes on how to communicate with other computers or servers, and what information or media should be transmitted / received during communication.

Such computer-readable media suitable for storing computer program instructions and data include, for example, recording media such as hard media, magnetic media such as floppy disks and magnetic tapes (Magnetic Media), and CD-ROM (Compact Disk Read Only Memory). , Optical Media such as DVD (Digital Video Disk), Magnetic-Optical Media such as Floptical Disk, and ROM (Read Only Memory), RAM (RAM) , Random Access Memory, Flash memory, EPROM (Erasable Programmable ROM), and semiconductor memory such as EEPROM (Electrically Erasable Programmable ROM). The processor and memory may be supplemented by, or incorporated in, special purpose logic circuitry.

The computer-readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. In addition, functional programs for implementing the present invention and related codes and code segments, etc., programmers in the technical field to which the present invention belongs, considering the system environment of a computer that reads a recording medium and executes the program It can be easily inferred or changed by.

This specification includes details of many specific implementations, but these should not be understood as limiting on the scope of any invention or claim, but rather as a description of features that may be specific to a particular embodiment of a particular invention. It should be understood. Certain features that are described in this specification in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable subcombination. Further, although features may operate in a particular combination and may be initially depicted as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, and the claimed combination subcombined. Or sub-combinations.

Likewise, although the operations are depicted in the drawings in a particular order, it should not be understood that such operations should be performed in the particular order shown or in sequential order, or that all shown actions should be performed in order to obtain desirable results. In certain cases, multitasking and parallel processing may be advantageous. In addition, the separation of 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 will generally be integrated together into a single software product or packaged in multiple software products. You should understand that you can.

The present invention relates to a method for correcting motion recognition, and more specifically, for a motion or section having a high misrecognition rate when performing motion recognition in a terminal, a motion recognition correction capable of correcting a recognition result by using information previously stored for each terminal model It relates to a method for correcting motion recognition in a system.

According to the present invention, the motion recognition correction system can collectively manage motion parameters applied to motion recognition for each terminal, thereby real-time management of statistical data such as recognition rate and misrecognition rate for motion recognition, and the recognition rate is less than a preset value. By correcting the operation according to a correction algorithm and providing it to the terminal, it is possible to perform real-time correction for an operation and a section having a high misrecognition rate, thereby improving the recognition rate of motion recognition in the terminal.

Through this, the present invention can contribute to the development of the motion recognition technology. In addition, the present invention is not only sufficient in the market or the possibility of sales, but also has a practical applicability, and thus has industrial applicability.

100: terminal 200: connection device
300: motion recognition correction system 310: gateway
320: statistics server 330: motion management server
340: motion correction server 410: access network
420: core network

Claims (9)

In the motion recognition correction system,
When the result information according to the motion recognition is received from the terminal, using the result information according to the motion recognition to check the recognition rate for the detailed step-by-step operation;
As a result of the check, updating the operation parameters using a correction algorithm for detailed step-by-step operation in which the recognition rate is less than a preset value; And
And transmitting the updated operation parameter to the terminal.
The step of updating the operation parameter is
Checking operation parameters of detailed step-by-step operations in which the recognition rate is less than a preset value; And
Performing a correction operation on the operation parameter using the recognition rate of the identified operation parameter and the correction algorithm, and updating the operation parameter using the performed result;
Motion recognition correction method in a motion recognition correction system comprising a. According to claim 1,
Before the step of checking the recognition rate,
From the terminal, the terminal model information, operation ID (ID), operation version information, final recognition success or failure information, detailed step number, detailed step recognition success or failure information, at least one of the detailed step operation parameters Receiving result information according to;
A motion recognition correction method in a motion recognition correction system further comprising a. According to claim 1,
Before the step of checking the recognition rate,
Receiving one or more information from the terminal; And
Determining whether the information received from the terminal is result information according to operation recognition;
Motion recognition correction method in a motion recognition correction system further comprising a. According to claim 1,
The step of checking the recognition rate is
Checking terminal model information and operation ID among result information according to the operation recognition received from the terminal;
The terminal model by reflecting values corresponding to detailed success or failure information, final recognition success or failure information, among detailed result information according to the motion recognition, in pre-stored statistical data corresponding to the identified terminal model information and operation ID. Recalculating statistical data corresponding to the information; And
Checking a recognition rate for a detailed step-by-step operation using the recalculated statistical data;
Motion recognition correction method in a motion recognition correction system comprising a. According to claim 1,
The operating parameters
A motion recognition correction method in a motion recognition correction system comprising at least one of a rotation angle, an operation execution time, and angular velocity information. delete According to claim 1,
The step of delivering to the terminal is
Updating an operation parameter updated through performing the correction operation to an operation parameter corresponding to the terminal model information, and updating operation version information for the operation parameter;
Storing the updated information as statistical data corresponding to the terminal model information; And
Transmitting operation version information together with the updated operation parameter to the terminal;
Motion recognition correction method in a motion recognition correction system comprising a. The method of claim 7,
After the step of transmitting to the terminal,
Storing, by the terminal, the updated operation parameter and operation version information; And
When the terminal detects an operation for recognizing a motion from a user, generating result information according to motion recognition using the stored motion parameter;
Motion recognition correction method in a motion recognition correction system further comprising a. A computer-readable recording medium in which a program for executing a motion recognition correction method in the motion recognition correction system according to any one of claims 1 to 5, 7 or 8 is recorded.

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