CN101408793A - Power saving mode judgment method for multimedia application - Google Patents

Abstract

The present invention provides a method for determining a power saving mode of a multimedia application. When a user operates a computer system through a peripheral input device, an image sensor obtains first image data corresponding to the user's facial features; the first image data is stored in the computer system; then, the computer system confirms whether an input signal from the peripheral input device is received within a predetermined time; after the predetermined time arrives, second image data is obtained through the image sensor; the computer system compares the second image data with the first image data; and when the matching rate between the second image data and the first image data falls outside a specific range, the computer system enters a power saving mode.

Description

Method for judging power saving mode of multimedia application

technical field

The invention relates to a method for judging a power saving mode of a computer system, in particular to a method for judging a power saving mode of a multimedia application.

Background technique

Notebook computers have the characteristics of personal use and portability, so their security and power saving have always been very important issues. In order to achieve the effect of safety and power saving, the commonly used Windows operating system now allows users to set a period of time (for example, 3 minutes), when the computer system does not detect any operation by the user within this period of time, it will implement some security measures, such as locking the display, keyboard, and performing some power-saving measures, such as turning off the display, Start the screen saver and hard disk or guide the computer system into power-saving modes such as standby and hibernation mode to reduce the power consumption of the computer system.

But there are some problems in the way of judging the power saving mode of the above computer system. For example, when the user is watching a file or movie and does not touch the keyboard or mouse within a predetermined time, the computer system will be judged to be in an idle state. Next, the operating system will start the screen saver, turn off the hard disk or enter hibernation mode, and the user must press the keyboard or mouse again to wake up the computer system and return to the normal mode, which will cause inconvenience in use.

In addition, when the user leaves the computer for a period of time, the computer system will enter the power saving mode according to the setting. At this time, if someone else touches the keyboard or mouse again, the computer system will enter the normal mode from the power saving mode, while the user was originally The edited or read data screen will be seen by others, resulting in unsafe data use. Therefore, the general computer system will prevent the above situation from happening by setting up a password verification mechanism. However, the operation method of the password verification mechanism is still not convenient enough. , for example, the user needs to touch the keyboard or mouse first to activate the password authentication mechanism, and then enter the correct password to cancel the power saving mode, so there is still room for improvement in terms of operational convenience.

Therefore, how to provide a method for judging the power saving mode with improved operation convenience has become one of the problems to be solved by researchers.

Contents of the invention

In view of the above problems, the present invention provides a method for judging the power saving mode of a multimedia application, which uses an image sensor in a computer system to obtain user facial image data, and determines whether the computer system Enter the power saving mode, and automatically restore the power saving mode to the normal mode when it is judged that the face data exists, so as to improve the operation convenience of the computer system.

According to the method for judging the power saving mode of multimedia applications disclosed in the present invention, according to the image data acquired by the image sensor, as the judgment basis for controlling the computer system to enter the power saving mode from the normal mode, the following steps are included: first, the user When the computer system is operated through the peripheral input device (for example, power is turned on or a specific button is pressed), the image sensor acquires the first image data corresponding to the facial features of the user; the first image data is stored in the memory or hard disk of the computer system ; Next, the computer system confirms whether the input signal from the peripheral input device (for example, keyboard or mouse) is received within the predetermined time; after the predetermined time arrives, the second image data is obtained by the image sensor; the computer system compares The second image data and the first image data; and when the coincidence ratio between the second image data and the first image data falls outside a specific range (for example, 60% to 100%), the computer system enters the power saving mode.

In the method for judging the power saving mode of the multimedia application, when the matching ratio between the second image data and the first image data falls within the specific range, the computer system enters the normal mode.

In the method for judging the power saving mode of the multimedia application, when the matching rate of the second image data and the first image data falls outside the specific range, the computer system provides a password authentication mechanism to identify the user identity , and when it is confirmed that the user identity is correct, the computer system enters the normal mode.

In the method for judging the power-saving mode of the multimedia application, after the computer system enters the step of the power-saving mode, it includes: the user activates a password verification mechanism through the peripheral input device; and the user inputs a password through the peripheral input device The password verification mechanism is used for verification, and when the password is confirmed to be correct, the computer system enters the normal mode.

In the method for judging the power saving mode of the multimedia application, the peripheral input device is a keyboard, a mouse or a touch panel.

In the method for judging the power saving mode of the multimedia application, the input signal corresponds to a specific key or key combination.

According to the method for judging the power saving mode of multimedia applications disclosed in the present invention, according to the image data acquired by the image sensor, as the judgment basis for controlling the computer system to enter the power saving mode from the normal mode, the following steps are included: first, the user When the computer system is operated through the peripheral input device (for example, power is turned on or a specific button is pressed), the image sensor acquires the first image data corresponding to the facial features of the user; the first image data is stored in the memory or hard disk of the computer system ; Next, the computer system confirms whether the input signal from the peripheral input device (for example, keyboard or mouse) is received within the predetermined time; after the predetermined time arrives, the second image data is obtained by the image sensor; the computer system compares The second image data and the first image data; and when the coincidence rate of the second image data and the first image data falls outside a specific range (for example, 60% to 100%), the computer system enters the power saving mode; the computer system confirms When receiving the input signal, the image sensor acquires the third image data; the computer system compares the third image data with the first image data; and when the matching rate of the third image data and the first image data falls within a specific range , the computer system enters the normal mode from the power saving mode.

In the method for judging the power saving mode of the multimedia application, when the matching ratio between the second image data and the first image data falls within the specific range, the computer system enters the normal mode.

In the method for judging the power saving mode of the multimedia application, when the matching rate of the second image data and the first image data falls outside the specific range, the computer system provides a password authentication mechanism to identify the user identity , and when it is confirmed that the user identity is correct, the computer system enters the normal mode.

In the method for judging the power-saving mode of the multimedia application, after the computer system enters the step of the power-saving mode, it includes: the user activates a password verification mechanism through the peripheral input device; and the user inputs a password through the peripheral input device The password verification mechanism is used for verification, and when the password is confirmed to be correct, the computer enters the normal mode.

In the method for judging the power saving mode of the multimedia application, the peripheral input device is a keyboard, a mouse or a touch panel.

In the method for judging the power saving mode of the multimedia application, the input signal corresponds to a specific key or key combination.

Using this power-saving mode judgment method for multimedia applications, the image sensor detects whether the face image exists to determine whether the computer system is in use, and then controls whether the computer system enters the power-saving mode, avoiding the past by sensing the surrounding Whether the input device is pressed in a way that causes user problems when viewing files or videos. In addition, the present invention also uses the mechanism of facial image recognition matching rate, so that after the computer system enters the power-saving mode, only specific users can operate the computer system from the power-saving mode to the normal mode. In addition to improving the security of data use, Since the user only needs to place his face within the sensing range of the image sensor for sensing, the computer system can complete the operation mode switching action, compared with the previous method of using a password authentication mechanism to complete the operation mode switching of the computer system It has better operation convenience.

Regarding the features and implementation of the present invention, the most preferred embodiment is described in detail below in conjunction with the accompanying drawings.

Description of drawings

1A and 1B disclose a flow chart of method steps in the first embodiment of the present invention;

2A and 2B disclose a flow chart of method steps in a second embodiment of the present invention; and

3A and 3B disclose a flowchart of method steps in a third embodiment of the present invention.

Detailed ways

Please refer to FIG. 1A and FIG. 1B , which are flowcharts of method steps in the first embodiment of the present invention. As shown in FIG. 1A and FIG. 1B , the method for judging the power saving mode of a multimedia application of the present invention is based on the image data acquired by the image sensor as a judgment basis for controlling the computer system to enter the power saving mode from the normal mode, including: Follow these steps:

First, when the user operates (for example, turns on the power or touches the keyboard or mouse) the computer device through a peripheral input device (for example, a keyboard, mouse or touch panel), the image sensor acquires features corresponding to the user's face (for example, , the first image data of eyes, nose and/or mouth), see step 100, and the first image data can be obtained through a face detection algorithm, and the face detection algorithm includes image processing technology and feature value acquisition , where the image processing technology includes Region Division, Blur, Edge Detection and Edge Approximation. The target of eigenvalue acquisition includes the eigenvalues of the eyes, the eigenvalues of the nose, and the eigenvalues of the mouth. The eigenvalues of the eyes are the coordinates of the corners of the eyes as the position of the eyes, and the above-mentioned image processing technology is used to determine the position of the eyes in the face image. position, and then calculate the eigenvector value. The eigenvalue of the nose is based on the coordinates on both sides of the nostrils as the nose position, and the above-mentioned image processing technology is used to determine the position of the nose in the face image, and then the eigenvector value is calculated. The eigenvalue of the mouth is based on the coordinates of the corners of the mouth as the position of the mouth, and the position of the mouth in the face image is determined with the above-mentioned image processing technology, and then the eigenvector value is calculated. In addition, the user can place the face within the sensing range of the image sensor to increase the recognition success rate, preferably within 0.5 meters to 1.5 meters from the image sensor.

Next, the first image data acquired by the image sensor is stored in a memory or a hard disk of the computer system, see step 101 .

Confirm whether the input signal from the peripheral input device is received within a predetermined time (for example, 3 minutes), see step 102, wherein the predetermined time can be set by the user, and the input signal corresponds to a specific key or combination of keys.

When the computer system receives the input signal from the peripheral input device within the predetermined time, go back to step 100 .

After the predetermined time arrives, if the computer system still does not receive the input signal from the peripheral input device, the second image data is acquired by the image sensor, see step 103, at this time the second image data acquired by the image sensor can be For example, it is an environment image or a face image, and the second image data is obtained in the same manner as step 100, which will not be repeated here.

The computer system compares whether the coincidence rate of the second image data and the first image data falls within a specific range, see step 104, the coincidence rate can be, for example, comparing the characteristics of the second image data and the first image data The coincidence percentage of the vector value, when the coincidence percentage reaches a specific range (for example, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95% or 100%), the specific range disclosed by the present invention is preferably The value is 80%, and the above range can be set by the user.

When the coincidence rate of the second image data and the first image data falls within a specific range, the computer system enters the normal mode, see step 105, so that when the computer system enters the power saving mode, the user does not need to go through the previous password verification mechanism The operation program can make the computer system complete the switching action of the operation mode, so it has better operation convenience.

When the coincidence rate of the second image data and the first image data falls outside a specific range (for example, the coincidence rate is 0% to 59%), the computer system enters the power saving mode, see step 106, and the present invention discloses The power saving mode is a power operation mode of Advanced Configuration & Power Interface (ACPI), especially the third (S3) mode, but it is not limited to this. The following is the advanced configuration power interface (ACPI). The sleep (Sleeping) state in the power supply operation mode is explained: first, the sleep state can be divided into 6 levels, in order from the zeroth (S0) mode to the fifth (S5) mode, and the zeroth (S0) mode is normal Working mode, that is, not entering the dormant state, all devices in the system are in normal working state.

In the first (S1) mode, the central processing unit (not shown in the figure) stops working. If the wakeup (Wakeup) action is performed, the computer system will resume work, and the data in the system will not be lost, and it will return to before sleep status.

In the second (S2) mode, similar to the first (S1) mode, but the central processing unit (not shown) is turned off, so the data in the cache (catch) memory (not shown) will be lost , if the wake-up action is performed, the operating system (Operation System) is required to re-maintain the data in the central processing unit and the cache memory.

In the third (S3) mode, the computer system only retains the data in the memory, and other data such as the central processing unit, cache memory, chipset (for example, South Bridge chip and North Bridge chip, etc.) and peripheral data will be lost. Executing the wake-up action in the mode can directly take out the temporarily stored data from the memory to continue working without waiting for the operating system or re-executing the application program to improve the recovery speed of the computer system. In addition to power supply, it is also necessary to provide power to the image sensor.

The fourth (S4) mode is the disk dormancy state. The power consumption under this mode is the lowest, but the computer system takes a long time to resume work. At this time, all devices in the computer system are turned off, so no power is used, and The fifth (S5) mode is similar to the fourth (S4) mode, but the operating system does not maintain and store any data content.

Therefore, when the computer system enters the third (S3) mode, it only needs to provide power to the memory and the image sensor, and the system in this mode recovers quickly, which can further improve the efficiency of computer execution.

In order to avoid the problem that the face image recognition matching rate mechanism may not be able to restore the computer system from the power saving mode to the normal mode, the first embodiment disclosed by the present invention can still restore the computer system to the normal mode through the password verification mechanism, please refer to FIG. 1B , the user activates the password verification mechanism through the peripheral input device, see step 107, wherein the user can activate the password verification mechanism by pressing a specific key or key combination on the keyboard, mouse or touch panel.

Next, the user inputs a password through the peripheral input device for verification by the password verification mechanism, see step 108, and then identifies the user identity.

The computer system compares whether the password entered by the user is correct, see step 109, and when the password is correct, then go to step 105 to make the computer enter the normal mode. When the password is incorrect, then get back to step 107 to continue the password verification procedure.

Please refer to FIG. 2A and FIG. 2B , which are flow charts of the method steps of the second embodiment of the present invention. As shown in FIG. 2A and FIG. 2B , the method for judging the power-saving mode of a multimedia application of the present invention is based on the image data acquired by the image sensor as a judgment basis for controlling the computer system to enter the power-saving mode from the normal mode, including: Follow these steps:

First, when the user operates (for example, turns on the power or touches the keyboard or mouse) the computer device through a peripheral input device (for example, a keyboard, mouse or touch panel), the image sensor acquires features corresponding to the user's face (for example, , the first image data of eyes, nose and/or mouth), see step 200, and the first image data can be obtained through a face detection algorithm, and the face detection algorithm includes image processing technology and feature value acquisition , where the image processing technology includes Region Division, Blur, Edge Detection and Edge Approximation. The target of eigenvalue acquisition includes the eigenvalues of the eyes, the eigenvalues of the nose, and the eigenvalues of the mouth. The eigenvalues of the eyes are the coordinates of the corners of the eyes as the position of the eyes, and the above-mentioned image processing technology is used to determine the position of the eyes in the face image. position, and then calculate the eigenvector value. The eigenvalue of the nose is based on the coordinates on both sides of the nostrils as the nose position, and the above-mentioned image processing technology is used to determine the position of the nose in the face image, and then the eigenvector value is calculated. The eigenvalue of the mouth is based on the coordinates of the corners of the mouth as the position of the mouth, and the position of the mouth in the face image is determined with the above-mentioned image processing technology, and then the eigenvector value is calculated. In addition, the user can place the face within the sensing range of the image sensor to increase the recognition success rate, preferably within 0.5 meters to 1.5 meters from the image sensor.

Next, the first image data acquired by the image sensor is stored in a memory or a hard disk of the computer system, see step 201 .

Confirm whether the input signal from the peripheral input device is received within a predetermined time (for example, 3 minutes), see step 202, wherein the predetermined time can be set by the user, and the input signal corresponds to a specific key or key combination.

When the computer system receives the input signal from the peripheral input device within the predetermined time, return to step 200 .

After the predetermined time arrives, if the computer system still does not receive the input signal from the peripheral input device, the second image data is acquired through the image sensor, see step 203, at this time the second image data acquired by the image sensor can be For example, it is an environment image or a face image, and the second image data is obtained in the same manner as step 200, and will not be repeated here.

The computer system compares whether the coincidence rate of the second image data and the first image data falls within a specific range, see step 204, the coincidence rate can be, for example, comparing the characteristics of the second image data and the first image data The coincidence percentage of the vector value, when the coincidence percentage reaches a specific range (for example, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95% or 100%), the specific range disclosed by the present invention is preferably The value is 80%, and the above range can be set by the user.

When the coincidence rate between the second image data and the first image data falls outside a specific range, the computer system enters a power saving mode, see step 205 .

Please refer to FIG. 2B, when the matching rate of the second image data and the first image data falls within a specific range, the computer system starts a password authentication mechanism, see step 206, wherein the purpose of step 206 is to prevent other users from using the original user The power-saving mode of the photo image is released, thereby intruding into the computer system. In other words, the second embodiment disclosed by the present invention has a double protection mechanism, which further improves the data security of the computer system.

Next, the user inputs a password through the peripheral input device for verification by the password verification mechanism, see step 207, and then identifies the user identity.

The computer system checks whether the password entered by the user is correct, see step 208, and when the password is correct, the computer enters the normal mode, see step 209. When the password is incorrect, then return to step 206 to continue the password verification procedure.

Please refer to FIG. 3A and FIG. 3B , which are flow charts of the method steps of the third embodiment of the present invention. As shown in FIG. 3A and FIG. 3B , the method for judging the power saving mode of the multimedia application of the present invention is based on the image data acquired by the image sensor as the judgment basis for controlling the computer system to enter the power saving mode from the normal mode, including: Follow these steps:

First, when the user operates (for example, turns on the power or touches the keyboard or mouse) the computer device through a peripheral input device (for example, a keyboard, mouse or touch panel), the image sensor acquires features corresponding to the user's face (for example, , the first image data of eyes, nose and/or mouth), see step 300, and the first image data can be obtained through a face detection algorithm, and the face detection algorithm includes image processing technology and feature value acquisition , where the image processing technology includes Region Division, Blur, Edge Detection and Edge Approximation. The target of eigenvalue acquisition includes the eigenvalues of the eyes, the eigenvalues of the nose, and the eigenvalues of the mouth. The eigenvalues of the eyes are the coordinates of the corners of the eyes as the position of the eyes, and the above-mentioned image processing technology is used to determine the position of the eyes in the face image. position, and then calculate the eigenvector value. The eigenvalue of the nose is based on the coordinates on both sides of the nostrils as the nose position, and the above-mentioned image processing technology is used to determine the position of the nose in the face image, and then the eigenvector value is calculated. The eigenvalue of the mouth is based on the coordinates of the corners of the mouth as the position of the mouth, and the position of the mouth in the face image is determined with the above-mentioned image processing technology, and then the eigenvector value is calculated. In addition, the user can place the face within the sensing range of the image sensor to increase the recognition success rate, preferably within 0.5 meters to 1.5 meters from the image sensor.

Next, the first image data acquired by the image sensor is stored in a memory or a hard disk of the computer system, see step 301 .

Confirm whether the input signal from the peripheral input device is received within a predetermined time (for example, 3 minutes), see step 302, wherein the predetermined time can be set by the user, and the input signal corresponds to a specific key or key combination.

When the computer system receives the input signal from the peripheral input device within the predetermined time, return to step 300 .

After the predetermined time arrives, if the computer system still does not receive the input signal from the peripheral input device, the second image data is acquired by the image sensor, see step 303, at this time the second image data acquired by the image sensor can be For example, it is an environment image or a face image, and the second image data is obtained in the same manner as step 200, and will not be repeated here.

The computer system compares whether the coincidence rate of the second image data and the first image data falls within a specific range, see step 304, the coincidence rate can be, for example, comparing the features in the second image data and the first image data The coincidence percentage of the vector value, when the coincidence percentage reaches a specific range (for example, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95% or 100%), the specific range disclosed by the present invention is preferably The value is 80%, and the above range can be set by the user.

When the coincidence rate of the second image data and the first image data falls outside a specific range, the computer system enters a normal mode, see step 305 .

When the matching rate of the second image data and the first image data falls outside a specific range (for example, the matching rate is 0% to 59%), the computer system enters the power saving mode, see step 306 .

Please refer to FIG. 3B. After the computer system enters the power saving mode, if the user wants to restore the computer system to the normal mode, the computer system is operated through the peripheral input device, see step 307. For example, the user can press the keyboard, mouse or The facial image acquisition function can be activated by pressing a specific key or a combination of keys on the touch panel.

Next, the computer system obtains the third image data through the image sensor, see step 308 .

The computer system compares whether the matching rate between the third image data and the first image data falls within a specific range, see step 309, and the method for obtaining the third image data is the same as step 300, which will not be repeated here.

Similarly, in order to avoid the problem that the face image recognition matching rate mechanism may not be able to restore the computer system to the normal mode from the power saving mode, the third embodiment disclosed by the present invention can still restore the computer system to the normal mode through the password verification mechanism , the user starts the password verification mechanism through the peripheral input device, see step 310, wherein the user can start the password verification mechanism by pressing a specific key or key combination on the keyboard, mouse or touch panel.

Next, the user inputs a password through the peripheral input device for verification by the password verification mechanism, see step 311 , and then identifies the user's identity.

The computer system checks whether the password entered by the user is correct, see step 312, and when the password is correct, then go to step 305 to make the computer enter the normal mode. When the password is incorrect, then return to step 307 to continue the password verification procedure.

To sum up, the method for judging the power saving mode of a multimedia application disclosed by the present invention uses an image sensor to detect whether a face image exists to judge whether the computer system is in use, and then controls whether the computer system enters the power saving mode or not. It avoids the problems caused by users watching files or movies by sensing whether the peripheral input device is touched in the past. In addition, the present invention also uses the mechanism of facial image recognition matching rate, so that after the computer system enters the power-saving mode, only specific users can operate the computer system from the power-saving mode to the normal mode. In addition to improving the security of data use, Since the user only needs to place his face within the sensing range of the image sensor for sensing, the computer system can complete the operation mode switching action, compared with the previous method of using a password authentication mechanism to complete the operation mode switching of the computer system It has better operation convenience.

Although the present invention is disclosed above with the aforementioned preferred embodiments, it is not intended to limit the present invention. Those skilled in the art may make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, this present invention The scope of patent protection for inventions shall be subject to the scope defined by the appended claims of this specification.

Claims (14)

1. A method for judging a power-saving mode of a multimedia application, according to the image data obtained by an image sensor, as a judgment basis for controlling a computer system to enter a power-saving mode from a normal mode, comprising the following steps: When the user operates the computer system through a peripheral input device, the image sensor acquires a first image data corresponding to the facial features of the user; storing the first image data in the computer system; The computer system confirms whether the input signal of the peripheral input device is received within a predetermined time; After the predetermined time arrives, a second image data is acquired through the image sensor; the computer system compares the second image data with the first image data; and When the coincidence rate of the second image data and the first image data falls outside a specific range, the computer system enters the power saving mode. 2. The method for judging the power-saving mode of a multimedia application as claimed in claim 1, wherein when the matching ratio between the second image data and the first image data falls within the specified range, the computer system enters the normal state. model. 3. The method for judging the power saving mode of a multimedia application as claimed in claim 1, wherein when the matching rate between the second image data and the first image data falls outside the specified range, the computer system provides a password The verification mechanism is used to identify the user identity, and when the user identity is confirmed to be correct, the computer system enters the normal mode. 4. The method for judging the power-saving mode of a multimedia application as claimed in claim 1, wherein after the computer system enters the power-saving mode, it includes: The user activates a password verification mechanism through the peripheral input device; and The user inputs a password through the peripheral input device for the password verification mechanism to verify, and when the password is confirmed to be correct, the computer system enters the normal mode. 5. The method for determining the power saving mode of a multimedia application as claimed in claim 1, wherein the peripheral input device is a keyboard, a mouse or a touch panel. 6. The method for determining the power saving mode of a multimedia application as claimed in claim 5, wherein the input signal corresponds to a specific key or key combination. 7. The method for determining the power saving mode of a multimedia application as claimed in claim 1, wherein the specific range is 60% to 100%. 8. A method for judging a power-saving mode for multimedia applications, using image data obtained by an image sensor as a basis for controlling a computer system to enter a power-saving mode from a normal mode, comprising the following steps: When the user operates the computer system through a peripheral input device, the image sensor acquires a first image data corresponding to the facial features of the user; storing the first image data in the computer system; The computer system confirms whether the input signal of the peripheral input device is received within a predetermined time; After the predetermined time arrives, a second image data is acquired through the image sensor; The computer system compares the second image data with the first image data; When the coincidence rate of the second image data and the first image data falls outside a specific range, the computer system enters the power saving mode; When the computer system confirms that the input signal is received, the image sensor acquires a third image data; the computer system compares the third image data with the first image data; and When the matching rate of the third image data and the first image data falls within the specific range, the computer system enters the normal mode from the power saving mode. 9. The method for judging the power saving mode of a multimedia application as claimed in claim 8, wherein when the matching rate between the second image data and the first image data falls within the specified range, the computer system enters the normal state. model. 10. The method for judging the power saving mode of a multimedia application as claimed in claim 8, wherein when the matching rate between the second image data and the first image data falls outside the specified range, the computer system provides a password The verification mechanism is used to identify the user identity, and when the user identity is confirmed to be correct, the computer system enters the normal mode. 11. The method for judging a power-saving mode of a multimedia application as claimed in claim 8, wherein after the computer system enters the power-saving mode, the steps include: The user activates a password verification mechanism through the peripheral input device; and The user inputs a password through the peripheral input device for the password verification mechanism to verify, and when the password is confirmed to be correct, the computer enters the normal mode. 12. The method for determining the power saving mode of a multimedia application as claimed in claim 8, wherein the peripheral input device is a keyboard, a mouse or a touch panel. 13. The method for determining the power saving mode of a multimedia application as claimed in claim 12, wherein the input signal corresponds to a specific key or a combination of keys. 14. The method for determining the power saving mode of a multimedia application as claimed in claim 8, wherein the specific range is 60% to 100%.

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