KR20160003544A - Method, system and recording medium for optimizing of mobile device using user gesture - Google Patents

Abstract

The present invention relates to a method, a system, and a recording medium for optimizing a mobile device by using gesture of a user. The optimizing method includes the following steps: using a gesture recognition means of the mobile device to sense a gesture input for the mobile device; and automatically executing an optimization operation related to at least one of a memory and a battery of the mobile device according to the gesture.

Description

TECHNICAL FIELD [0001] The present invention relates to a method, system, and recording medium for optimizing a mobile device using a user gesture,

Embodiments of the invention relate to techniques for optimizing the performance of mobile devices.

Users of mobile devices are experiencing inconveniences associated with speed, battery, and storage space, such as speed delays, battery shortages, battery degradation, and lack of storage space.

Recently, a mobile device has a function of displaying battery temperature, remaining battery level or remaining time, and a function of deleting a cache, a remaining file, and an unnecessary application for the convenience of the user.

For example, the charging status of the battery of the mobile communication terminal can be displayed in Registration Number 10-0643460 (Oct. 31, 2006), "Battery Charging Status Display Device and Charging Status Indication Method of Mobile Communication Terminal" A technique for shortening the charging time of the battery is disclosed.

However, due to the complicated usage of the application and the menu configuration, the user has to manually find the necessary functions according to the state of the mobile device, and since the use of the application is difficult, the user feels inconvenience and hassle in managing the mobile device do.

A method, a system, and a recording medium that can provide a user-friendly and easy optimization environment.

A method, system, and recording medium for automatically optimizing a mobile device using a simple and intuitive gesture.

It provides a system, a recording medium, and a method for optimizing a mobile device more easily and quickly without a complicated path or troublesome setting.

A computer-implemented optimization method comprising: detecting a gesture for a mobile device using gesture recognition means of the mobile device; And automatically performing an optimization operation associated with at least one of a memory and a battery of the mobile device according to the gesture.

A computer readable medium comprising instructions for controlling a computer system to perform optimization of storage space, the instructions comprising: sensing a gesture for the mobile device using gesture recognition means of the mobile device; And automatically performing an optimization operation associated with at least one of a memory and a battery of the mobile device in accordance with the gesture. ≪ RTI ID = 0.0 > [0002] < / RTI >

A sensing unit for sensing a gesture with respect to the mobile device using gesture recognition means of the mobile device; And an optimizer for automatically performing an optimization operation associated with at least one of a memory and a battery of the mobile device according to the gesture.

According to the embodiment of the present invention, the optimization environment can be automatically accessed using a simple and intuitive gesture, so that the user can manage the mobile device more easily and easily.

According to the embodiment of the present invention, the optimization of the mobile device is automatically performed according to the user's gesture, so that the optimized state of the mobile device can be maintained at all times, thereby improving the performance.

According to the embodiment of the present invention, it is possible to optimize the memory cleaning, the battery management, the application management, and the like with a simple gesture even if the user does not search the path for optimization or directly drives the application.

FIG. 1 illustrates an overview of a user terminal and an optimization system in an embodiment of the present invention.
2 is a block diagram showing an internal configuration of an optimization system according to an embodiment of the present invention.
FIG. 3 is a flowchart illustrating a method of optimizing a mobile device in an embodiment of the present invention.
FIGS. 4 to 6 are illustrations for explaining an optimization scenario using an inverted gesture in an embodiment of the present invention. FIG.
FIGS. 7 to 9 are exemplary diagrams for explaining an optimization scenario using a rubbing gesture in an embodiment of the present invention. FIG.
Figs. 9 to 11 are illustrations for explaining an optimization scenario using a soak gesture in an embodiment of the present invention. Fig.
12 is a block diagram for explaining an example of the internal configuration of a computer system according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The present invention relates to a technique for optimizing performance of a mobile device, and more particularly, to a method, system, and recording medium capable of performing optimization of a mobile device with a simple and intuitive gesture.

FIG. 1 illustrates an overview of a user terminal and an optimization system in an embodiment of the present invention. 1 shows an optimization system 100 and a user terminal 101. In Fig. In FIG. 1, an arrow may indicate that data can be transmitted and received between the optimization system 100 and the user terminal 101 via a wireless network, a data bus, or the like.

The optimization system 100 may serve to provide an optimization function to maintain the performance and load of the user terminal 101 in an optimal state. In particular, the optimization system 100 can more easily and easily perform optimization of the user terminal 101 through a simple user gesture. The storage space of the user terminal 101 plays a role for storing program codes necessary for basic system operation such as OS in the form of an internal memory and also plays a role for storing photographs, moving pictures, music, audio, documents, It is used as a repository. As the memory capacity increases, the performance of the user terminal 101 deteriorates. Therefore, it is necessary to appropriately leave the memory space in order to maintain the performance of the user terminal 101 in an optimal state. Also, the user terminal 101 may be configured to change the power consumption of the battery according to usage environments such as an application or various modules (e.g., Bluetooth, GPS, Wi-Fi, LTE, Is determined. Therefore, it is necessary to manage the battery of the user terminal 101 in order to control the usage environment of the user terminal 101 according to the situation to ensure the necessary time of use. That is, the optimization system 100 may automatically optimize the memory cleaning, battery management, application management, and the like of the user terminal 101 according to the user gesture with respect to the user terminal 101. At this time, the optimization system 100 may be implemented in an application form on the user terminal 101, but is not limited thereto, and may be implemented in a form including a service platform providing an optimization service in a client-server environment Do.

The user terminal 101 is a mobile device such as a smart phone, a tablet, a wearable computer, etc., and a dedicated application related to the optimization system 100 (hereinafter referred to as an 'optimized application') May refer to all terminal devices capable of being installed and executed. At this time, the user terminal 101 can perform service-wide operations such as service screen configuration, data input, data transmission / reception, and data storage under the control of the optimized application.

In particular, in the present embodiment, the user terminal 101 may include gesture recognition means for inputting a predefined gesture as a user command for driving the optimized application. For example, the touch sensor can be used as a gesture recognition means, and a touch-based gesture (hereinafter, referred to as a 'touch gesture') can be input as a user command. Here, the touch gesture means a series of events occurring from the moment when the user touches the screen of the user terminal 101 until the moment the user touches the screen of the user terminal 101. For example, the touch gesture may be a tap, a flick, , Swipes, pinches, and the like, by touch operation. As another example, the non-contact type sensor can be used as the gesture recognition means to recognize the motion of the user terminal 101 or the motion of the object to the user terminal 101 (hereinafter, referred to as a 'motion gesture' Input can be received. At this time, a gesture due to the movement of the user terminal 101 is detected by a non-contact type sensor using a sensor for detecting the movement of the user terminal 101 such as a gyro sensor, an acceleration sensor, a magnetic sensor, . In addition, the non-contact type sensor can recognize movement or approach of an object to the user terminal 101 and recognize it as a motion gesture by using a motion recognition sensor, a proximity sensor, or the like. In addition, the motion gesture may include an event such as a hovering input for recognizing the proximity of an object without directly touching the screen. The hovering technique is a technique that recognizes the proximity of a finger by sensing a change in capacitance when an object (e.g., a finger) approaches the capacitive touch screen. Although a few sensors and gestures are exemplified above, the present invention is not limited thereto. The gesture for driving the optimized application can be applied to all input type events by touch operation or movement.

2 is a block diagram showing an internal configuration of an optimization system according to an embodiment of the present invention.

2, the optimization system 200 according to the present embodiment may include a processor 210, a bus 220, a network interface 230, and a memory 240. The memory 240 may include an operating system 241 and an optimization control routine 242. The processor 210 may include a sensing unit 211 and an optimizer 212. In other embodiments, the optimization system 200 may include more components than the components of FIG. 2, or some of the components may be omitted.

The memory 240 may be a computer-readable recording medium and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive. Also, the memory 240 may store program codes for the operating system 241 and the optimization control routine 242. [ These software components may be loaded from a computer readable recording medium separate from the memory 240 using a drive mechanism (not shown). Such a computer-readable recording medium may include a computer-readable recording medium (not shown) such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, or a memory card. In other embodiments, the software components may be loaded into the memory 240 via the network interface 230 rather than from a computer readable recording medium.

The bus 220 may enable communication and data transmission between components of the optimization system 200. The bus 220 may be configured using a high-speed serial bus, a parallel bus, a Storage Area Network (SAN), and / or other suitable communication technology.

The network interface 230 may be a computer hardware component for connecting the optimization system 200 to a computer network. The network interface 230 may connect the optimization system 200 to a computer network via a wireless or wired connection.

The processor 210 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and I / O operations of the optimization system 200. [ The instructions may be provided by the memory 240 or the network interface 230 and to the processor 210 via the bus 220. The processor 210 may be configured to execute the program code for the sensing unit 211 and the optimizer 212. [ Such program code may be stored in a recording device such as memory 240. [

The sensing unit 211 and the optimizing unit 212 may be configured to perform an optimization method to be described below.

FIG. 3 is a flowchart illustrating a method of optimizing a mobile device in an embodiment of the present invention. The optimization method according to one embodiment may be performed by the sensing unit 211 and the optimizing unit 212, which are components of the optimization system described with reference to FIG.

In step 301, the sensing unit 211 may sense a gesture for the mobile device as a user input. At this time, the sensing unit 211 can detect a gesture (hereinafter referred to as an 'optimization gesture') predefined in the optimization function among the gestures recognized by the gesture recognition means (for example, a touch sensor, a gyro sensor, etc.) have. For example, the sensing unit 211 may detect the flipping gesture as an optimization gesture by reversing the mobile device such that the screen faces downward. As another example, the sensing unit 211 may sense a shake gesture that shakes the mobile device as an optimization gesture. As another example, the sensing unit 211 may sense a swipe gesture that moves in a predetermined direction (e.g., horizontal or vertical direction) with the at least one finger touched on the screen as an optimization gesture. As another example, the sensing unit 211 may sense a rotation gesture that rotates the mobile device in one direction among the roll, pitch, and yaw axes as an optimization gesture. As another example, the sensing unit 211 may detect an air gesture such as approaching an object without being directly touched on the screen of the mobile device, or shaking the object in a close state, as an optimization gesture. The optimization gesture described above is illustrative and not restrictive, and all gestures of an intuitive input type for the optimization function can be applied.

In the case of motion gestures, gesture recognition means such as a gyro sensor is used. In order to optimize the gesture recognition means, the gesture recognition means must always be activated. When walking or running while holding the mobile device in a pocket or a bag, There is a problem that the optimization function is unnecessarily operated and the battery is consumed. As a method for solving such problems, the sensing unit 211 can set the sensitivity of the gesture recognition means for sensing the optimization gesture to be generally less sensitive than the sensitivity of the person walking or running.

If the optimization gesture is detected in step 301, the optimizing unit 212 recognizes the optimization gesture as a user command for driving the optimization function in step 302 and can automatically perform the system optimization. The optimization function is to optimize the performance of the mobile device to optimize the storage space to clear the memory function, the mobile device environment to the reboot level to initialize the application management function, mobile devices to reduce the use of battery time And a battery management function for performing a power saving mode to perform the power saving mode. At this time, the memory organizing function is a function of organizing the contents (for example, photographs, moving pictures, music, audio, documents, etc.) that are unnecessarily occupying the storage space of the mobile device, for example, cache files, temporary files, , Deleting a file whose capacity is equal to or larger than a predetermined size, and the like. The application management function may include an operation such as deleting an inactive job or a background job from memory in order to terminate a running function or an application. In addition, the battery management function limits the maximum CPU performance in order to reduce battery consumption of the mobile device. The battery management function is a function of the terminal use environment such as Bluetooth, WiFi, data network (e.g., LTE etc.), GPS, screen brightness, It can include all the actions that limit it.

The optimizing unit 212 may optimize at least one of a memory organizing function, an application managing function, and a battery managing function according to the optimization gesture. For example, the same optimizing gesture may be commonly defined for the optimizing function, and the optimizing unit 212 may proceed to optimize various functions when the optimizing gesture is detected. As another example, different optimization gestures may be defined for each optimization function, and the optimization unit 212 may selectively perform an optimization operation corresponding to the optimization gesture among various functions for optimization. At this time, the optimizing unit 212 may sequentially perform the optimization function when the optimization gesture is repeatedly sensed. For example, the optimizing operation can be performed in the order of a memory organizing function, an application managing function, and a battery managing function for a repeated optimization gesture. Alternatively, when the specific optimization function is composed of a plurality of steps, for example, when the battery management function includes a plurality of power saving steps, if the optimization gesture is repeatedly detected, the plurality of power saving steps can be sequentially performed one step at a time. In addition, if the specific optimization function has a plurality of steps, the optimizing unit 212 may perform the optimization operation one by one in sequence according to the size of the optimization gesture, skip the intermediate step, Things are also possible.

Hereinafter, an optimization scenario in which the flip gesture is applied as a gesture for operating the application management function, the rubbing gesture as a gesture for operating the memory organizing function, and the gesture for activating the battery management function as the shake gesture will be described. The matching between the optimization gesture and the optimization function is not limited to the above examples and can be changed in any way.

FIGS. 4 to 6 are illustrations for explaining an optimization scenario using an inverted gesture in an embodiment of the present invention. FIG.

4 is an exemplary illustration of a flipping gesture 400. Flip gesture 400 refers to an operation of turning the mobile device upside down so that the screen faces down as shown in Fig. When the user feels slow in using the mobile device or wants to end all running applications, he can request the system optimization by taking the gesture 400 by flipping the mobile device to the floor.

Accordingly, when the optimizing application senses the flipping gesture 400, the application management function for optimizing the mobile device is automatically performed. When the user turns the mobile device again, the optimization is in progress or the optimization is completed. I can feel it.

At this time, the optimizing application exposes a message 510 related to the optimized state on the desktop 500 as shown in FIG. 5, or exposes a message 510 related to the optimization state, 600 may expose an icon 610 indicating that the optimization process is in progress or completed to a status bar for a predetermined period of time (e.g., 10 seconds).

Therefore, it is possible to optimize the usage environment of the mobile device to the reboot level by automatically running the optimized app according to the flipping gesture for the mobile device and deleting the inactive task or background task from the memory.

FIGS. 7 to 8 are illustrations for explaining an optimization scenario using a rubbing gesture in an embodiment of the present invention. FIG.

FIG. 7 is an exemplary view showing a rubbing gesture 700. FIG. For example, the rubbing gesture 700 may indicate a sweeping motion in the right-to-left direction of the screen with one or more fingers as shown in FIG. The system optimizer can request the system optimization by taking a rubbing gesture 700 with respect to the mobile device when the user feels that the user is slowing down while using the mobile device or does not organize the memory for a long period of time and a lot of unnecessary files are accumulated.

Accordingly, when the optimizing application senses the rubbing gesture 700, the optimizing application automatically performs a memory organizing function for optimizing the mobile device, thereby optimizing the storage space of the mobile device by deleting unnecessary memory organizing objects .

At this time, the optimizing application can classify the memory cleanup objects according to the types and sequentially optimize them for each object. For example, the sorting target may be a cache file including a file (for example, a thumbnail) or the like created for quickly loading data when an application is executed, a temporary file including a copy of a file read by the user in a mail or a cafe, For example, 30 days). (For example, pictures, movies, music, audio, documents, etc.) that are not used for a certain period of time, content older than a predetermined period of storage period, files whose capacity is a certain size (e.g., 10Mb) can do.

The optimizer can sequentially delete memory cleanup objects according to a recursive rubbing gesture to optimize the system. For example, referring to FIG. 8, when the optimizing application detects a rubbing gesture, the optimizing application firstly deletes the cache file with one-step optimization and exposes a message 810 related to the one-step optimization state on the desktop 800 . If the user repeats the rubbing gesture or inputs the deletion intention for the next sorting target through the menu environment provided with the message 810, the message is deleted after the temporary file is deleted by the second step optimization, 820). Once again, if the user repeats the rubbing gesture or enters a deletion intention for the next to-be-cleaned object through the menu environment provided with the message 820, it deletes the unused application for a period of time with the three-step optimization, Exposes a message 830 associated with the optimization state.

Accordingly, it is possible to optimize the storage space of the mobile device by automatically running the optimized app according to the rubbing gesture for the mobile device and deleting the cache file, the temporary file, and the application that has not been used for a long period of time. Furthermore, the memory organizing function can be performed step by step while repeating the rubbing gesture by sorting the objects to be sorted for optimization.

Figs. 9 to 11 are illustrations for explaining an optimization scenario using a soak gesture in an embodiment of the present invention. Fig.

9 is a view showing the shek gesture 900. FIG. The shake gesture 900 may indicate an operation in which the user grasps and shakes the mobile device as shown in Fig. When the user needs to extend the battery use time in a state in which the remaining battery capacity is short while the user is using the mobile device, he / she can request the system optimization by taking a shake gesture 900 for the mobile device.

Accordingly, when the optimizing application senses the shake gesture 900, the battery management function for optimizing the mobile device is automatically performed, thereby reducing the battery consumption and the battery usage time through the power saving mode.

Optimized apps can provide the remaining battery life of the mobile device. For example, the optimizing application can check the battery remaining amount of the mobile device and the power consumption per unit time, and display the remaining battery use time by converting the remaining battery amount into the time based on the battery remaining amount and the power consumption amount per unit time. Referring to FIG. 10, the optimization app can display the remaining battery usage time 1003 according to the battery remaining amount in the status bar of the desktop 1000, and the user can use the remaining battery usage time 1003 of the mobile device And it is possible to request optimization for battery management as needed by referring to the remaining battery use time 1003.

And the optimizer can step through the sleep mode for battery management. For example, referring to FIG. 10, when an optimal gesture is detected, the optimizing application automatically turns off the Bluetooth, GPS, and WiFi of the mobile device in the first power saving mode and transmits a message 1010). At this time, the remaining battery use time according to the current power consumption amount per unit time and the current battery remaining amount through the first power saving mode may be recalculated and included in the message 1010, or the remaining battery usage time exposed on the status line may be updated have. If the user repeats the shake gesture or inputs the intention to proceed to the next power saving step through the menu environment provided with the message 1010, the data network of the mobile device is turned off in the second power saving mode as shown in FIG. (Background application), and exposes a message 1120 related to the two-step power saving mode on the desktop 1100. In addition, Once again, if you repeat the soak gesture or enter your intention to proceed to the next power saving step through the menu environment provided with the message (1120), turn off the feature phone mode by turning off all functions except the phone and text in the power saving mode And exposes a message 1130 related to the three-step power saving mode on the desktop 1100. [ Likewise, the remaining battery use time according to the current consumption amount of the battery and the current consumption amount of the battery is calculated again in the messages 1112 and 1130 or the remaining battery usage time 1103 ) Can be updated.

The optimization app can return the usage environment of the mobile device to a state prior to the operation of the first power saving mode when the user once again inputs a shake gesture in the feature phone mode. Furthermore, when the size of the motion of the gesture is less than a predetermined level, the optimization application sequentially proceeds to the power saving mode in the order of the first stage, the second stage and the third stage. If the size of the movement of the gesture is above a predetermined level, You can switch. That is, if the user shakes the mobile device very hardly in a state where the remaining battery capacity is low, the user can directly switch to the feature phone mode without stepwise power saving.

Therefore, it is possible to guarantee the usage time by reducing battery usage of mobile devices by limiting the terminal usage environment such as Bluetooth, GPS, WiFi, data network, background application by automatically driving the optimized app according to the soaking gesture for the mobile device. Furthermore, the power saving mode can be sequentially performed by repeating the shake gesture by dividing the optimization for power saving into several steps.

In the present invention, optimization of application management, memory cleaning, battery management, and the like can be performed automatically by simply taking an optimization gesture naturally while using a mobile device without a user searching for an application for direct optimization or manipulating a complicated menu have.

The exemplary screens illustrated in FIGS. 4 to 11 are exemplary screens for facilitating understanding of the invention and for convenience of explanation, and can change the structure and order of the screen as well as the gesture method and the optimization operation.

12 is a block diagram for explaining an example of the internal configuration of a computer system according to an embodiment of the present invention. The computer system 1200 includes at least one processor 1210, a memory 1220, a peripheral interface 1230, an input / output subsystem 1240, A power circuit 1250, and a communication circuit 1260. [ At this time, the computer system 1200 may correspond to a user terminal.

The memory 1220 may include, for example, a high-speed random access memory, a magnetic disk, SRAM, DRAM, ROM, flash memory or non-volatile memory. have. Memory 1220 may include software modules, instruction sets, or various other data required for operation of computer system 1200. At this point, accessing the memory 1220 from other components, such as the processor 1210 or the peripheral device interface 1230, may be controlled by the processor 1210.

Peripheral device interface 1230 may couple the input and / or output peripheral devices of computer system 1200 to processor 1210 and memory 1220. Processor 1210 may execute a variety of functions and process data for computer system 1200 by executing a software module or set of instructions stored in memory 1220.

The input / output subsystem 1240 may couple various input / output peripherals to the peripheral interface 1230. For example, the input / output subsystem 1240 may include a controller for coupling a peripheral device such as a monitor, keyboard, mouse, printer, or a touch screen or sensor, as needed, to the peripheral interface 1230. According to another aspect, the input / output peripheral devices may be coupled to the peripheral device interface 1230 without going through the input / output subsystem 1240.

The power circuitry 1250 may provide power to all or a portion of the components of the terminal. For example, the power circuitry 1250 may include one or more power supplies, such as a power management system, a battery or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, And may include any other components for creation, management, distribution.

Communication circuitry 1260 may enable communication with other computer systems using at least one external port. Or as described above, the communication circuitry 1260 may communicate with other computer systems by sending and receiving RF signals, also known as electromagnetic signals, including RF circuitry, as needed.

12 is merely an example of the computer system 1200, and the computer system 1200 may include additional components not shown in FIG. 12, some components shown in FIG. 12 may be omitted, Lt; RTI ID = 0.0 > components. ≪ / RTI > For example, in addition to the components shown in FIG. 12, a computer system for a mobile communication terminal may further include a touch screen, a sensor, and the like, and various communication methods (WiFi, 3G, LTE , Bluetooth, NFC, Zigbee, etc.). Components that may be included in computer system 1200 may be implemented in hardware, software, or a combination of both hardware and software, including one or more signal processing or application specific integrated circuits.

The methods according to embodiments of the present invention may be implemented in the form of a program instruction that can be executed through various computer systems and recorded in a computer-readable medium.

The program according to the present embodiment can be configured as a PC-based program or an application dedicated to a mobile terminal. The optimized application according to the present embodiment may be implemented as an independent program, or may be implemented in an in-app form of a specific application so as to be able to operate on the specific application.

In addition, the methods according to the embodiment of the present invention can be performed by controlling an optimizing application in a user terminal. Such an application can be installed in a user terminal through a file provided by a file distribution system. For example, the file distribution system may include a file transfer unit (not shown) for transferring the file at the request of the user terminal.

As described above, according to the embodiment of the present invention, the optimization environment can be automatically accessed using a simple and intuitive gesture, so that the user can manage the mobile device more easily and easily. According to the embodiment of the present invention, the optimization of the mobile device is automatically performed according to the user gesture, so that the optimized state of the mobile device can be maintained at all times, thereby improving the performance. In addition, according to the embodiment of the present invention, optimization of memory cleaning, battery management, application management, etc. can be performed by a simple gesture even if the user does not search for a path for optimization or directly drives an application, have.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

200: Optimization System
211:
212:

Claims (20)

In a computer implemented optimization method,
Detecting gestures for the mobile device using gesture recognition means of the mobile device; And
Automatically performing an optimization operation associated with at least one of a memory and a battery of the mobile device according to the gesture
/ RTI > The method according to claim 1,
Wherein the sensing comprises:
Detecting gestures due to touch or movement defined by user commands for requesting optimization of the mobile device
. ≪ / RTI > The method according to claim 1,
Wherein the sensing comprises:
Detecting a gesture of a flip gesture reversing the mobile device, a rubbing gesture rubbing the screen of the mobile device, and a cleaving gesture shaking the mobile device with a user command requesting optimization
. ≪ / RTI > The method according to claim 1,
Wherein the optimization operation includes a function of deleting an inactive task or a background task from the memory, a function of deleting at least one of a cache file, a temporary file, and an application not used for a predetermined period of time from the memory, And at least one of the functions to be performed,
A common gesture is defined for the functions included in the optimization operation, or a different gesture is defined for each function
. ≪ / RTI > The method according to claim 1,
Wherein the performing comprises:
And if the gesture is detected, deleting an inactive task or a background job from the memory to optimize the use environment of the mobile device to a rebooting level
. ≪ / RTI > The method according to claim 1,
Wherein the performing comprises:
If the gesture is detected, at least one of a cache file, a temporary file, an application that has not been used for a predetermined period of time, a content that is not used for a predetermined period of time or has a storage period longer than a predetermined period, that
. ≪ / RTI > The method according to claim 1,
Wherein the performing comprises:
When the gesture is detected, performing a power saving mode for the battery
. ≪ / RTI > 8. The method of claim 7,
The power saving mode may include at least one of a communication module, a background application, a screen brightness, an automatic synchronization, and a haptic reaction of the mobile device
. ≪ / RTI > The method according to claim 1,
Wherein the performing comprises:
Wherein the optimizing operation includes a plurality of steps and performing the optimization operation stepwise when the gesture is repeatedly sensed
. ≪ / RTI > 10. The method of claim 9,
Wherein the performing comprises:
Skipping the intermediate step of the optimization operation and immediately performing the final step if the size of the gesture is a certain level or more
. ≪ / RTI > 21. A computer readable medium comprising instructions for a computer system to control optimization of storage space,
The command includes:
Detecting gestures for the mobile device using gesture recognition means of the mobile device; And
Automatically performing an optimization operation associated with at least one of a memory and a battery of the mobile device according to the gesture
≪ / RTI > wherein said computer system is controllable by said computer system. A sensing unit for sensing a gesture with respect to the mobile device using gesture recognition means of the mobile device; And
An optimization unit that automatically performs an optimization operation related to at least one of a memory and a battery of the mobile device according to the gesture;
. 13. The method of claim 12,
The sensing unit includes:
Detecting a gesture of a flip gesture reversing the mobile device, a rubbing gesture rubbing the screen of the mobile device, and a cleaving gesture shaking the mobile device with a user command requesting optimization
The optimization system comprising: 13. The method of claim 12,
Wherein the optimization operation includes a function of deleting an inactive task or a background task from the memory, a function of deleting at least one of a cache file, a temporary file, and an application not used for a predetermined period of time from the memory, And at least one of the functions to be performed,
A common gesture is defined for the functions included in the optimization operation, or a different gesture is defined for each function
The optimization system comprising: 13. The method of claim 12,
The optimizing unit,
And if the gesture is detected, deleting an inactive task or a background job from the memory to optimize the use environment of the mobile device to a rebooting level
The optimization system comprising: 13. The method of claim 12,
The optimizing unit,
If the gesture is detected, at least one of a cache file, a temporary file, an application that has not been used for a predetermined period of time, a content that is not used for a predetermined period of time or has a storage period longer than a predetermined period, that
The optimization system comprising: 13. The method of claim 12,
The optimizing unit,
When the gesture is detected, performing a power saving mode for the battery
The optimization system comprising: 18. The method of claim 17,
The power saving mode may include at least one of a communication module, a background application, a screen brightness, an automatic synchronization, and a haptic reaction of the mobile device
The optimization system comprising: 13. The method of claim 12,
The optimizing unit,
Wherein the optimizing operation includes a plurality of steps and performing the optimization operation stepwise when the gesture is repeatedly sensed
The optimization system comprising: 20. The method of claim 19,
The optimizing unit,
Skipping the intermediate step of the optimization operation and immediately performing the final step if the size of the gesture is a certain level or more
The optimization system comprising:

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