CN106507192B - Television shutdown control method and system based on human eye recognition - Google Patents

Television shutdown control method and system based on human eye recognition Download PDF

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Publication number
CN106507192B
CN106507192B CN201611144614.2A CN201611144614A CN106507192B CN 106507192 B CN106507192 B CN 106507192B CN 201611144614 A CN201611144614 A CN 201611144614A CN 106507192 B CN106507192 B CN 106507192B
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human eye
state
eye
preset time
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CN106507192A (en
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刘卫兵
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TCL Technology Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213Monitoring of end-user related data
    • H04N21/44218Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris
    • G06V40/19Sensors therefor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/443OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
    • H04N21/4436Power management, e.g. shutting down unused components of the receiver

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  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
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  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
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  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Ophthalmology & Optometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention is suitable for the field of information identification, and provides a television shutdown control method and a television shutdown control system based on human eye identification, wherein the method comprises the following steps: acquiring a human eye image, acquiring a human eye state, and judging whether the human eye state is a closed eye state; if the human eye state is the eye closing state, judging whether the time in the eye closing state reaches the preset time or not; if the preset time is reached, judging whether the current shutdown mode is a single mode or not; and if the current power-off mode is the single mode, controlling the current power-off mode to be switched into a default mode, and controlling the television to be powered off. The television shutdown control method based on the human eye recognition judges whether a user is in an eye closing state when watching a television or not according to the human eye state in a human eye image, and the time when the user is in the eye closing state reaches the preset time; the method comprises the steps of obtaining a current power-off mode, controlling the television to be powered off and switching the current power-off mode to a default mode when the current power-off mode is a single mode, and therefore the preset time of next television power-off cannot be influenced.

Description

Television shutdown control method and system based on human eye recognition
Technical Field
The invention belongs to the field of information identification, and particularly relates to a television shutdown control method and system based on human eye identification.
Background
The intelligent television is provided with a full-open platform and is provided with an operating system, a user can install and uninstall various application software while enjoying television program contents, and meanwhile, the intelligent television also supports the expansion of a plurality of external hardware (such as a camera, a game handle and the like), and is a new television product for expanding and upgrading functions.
The existing television shutdown modes include manual remote control shutdown, remote shutdown or timing shutdown, but many users easily sleep and forget to shut down or set timing shutdown when watching television, so that the television is played all the time, resources are wasted, and the sleep quality of the users is influenced.
Disclosure of Invention
In view of this, the present invention provides a television shutdown control method and system based on human eye recognition, so as to solve the problem in the prior art that a user forgets to shutdown due to sleeping while watching a television, so that the television is played all the time.
In a first aspect, a television shutdown control method based on human eye recognition is provided, including:
acquiring a human eye image, acquiring a human eye state, and judging whether the human eye state is a closed eye state;
if the human eye state is the eye closing state, judging whether the time in the eye closing state reaches the preset time or not;
if the preset time is reached, acquiring a current shutdown mode, and judging whether the current shutdown mode is a single mode; and if the current power-off mode is the single mode, controlling the current power-off mode to be switched into a default mode, and controlling the television to be powered off.
In a second aspect, a television shutdown control system based on human eye recognition is provided, including:
the acquisition unit is used for acquiring a human eye image, acquiring a human eye state and judging whether the human eye state is a closed eye state;
the judging unit is used for judging whether the time in the eye closing state reaches the preset time or not when the eye state is in the eye closing state;
the shutdown unit is used for acquiring the current shutdown mode when the preset time is reached and judging whether the current shutdown mode is a single mode; and if the current power-off mode is the single mode, controlling the current power-off mode to be switched into a default mode, and controlling the television to be powered off.
In the embodiment of the invention, by collecting the human eye image, when the human eye state of the user is recognized to be the eye closing state, whether the time in the eye closing state reaches the preset time is judged, when the time in the eye closing state is recognized to reach the preset time, whether the current shutdown mode is the single mode is judged, and if the current shutdown mode is the single mode, the current shutdown mode is switched to the default mode and the television is controlled to be shut down. The television can be controlled to be turned off in time even if the user sleeps when watching the television, and the television turning-off time can be managed in a humanized manner according to different user requirements, so that the user does not need to worry about the problem that the television can be played all the time when sleeping.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a flowchart of a television shutdown control method based on human eye recognition in embodiment 1 of the present invention;
fig. 2 is a flowchart of a television shutdown control method based on human eye recognition in embodiment 2 of the present invention;
fig. 3 is a schematic block diagram of a television shutdown control system based on human eye recognition in embodiment 3 of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The invention provides a television shutdown control method based on human eye recognition, which comprises the following steps: acquiring a human eye image, acquiring a human eye state, and judging whether the human eye state is a closed eye state; if the human eye state is the eye closing state, judging whether the time in the eye closing state reaches the preset time or not; if the preset time is reached, acquiring a current shutdown mode, and judging whether the current shutdown mode is a single mode; and if the current power-off mode is the single mode, controlling the current power-off mode to be switched into a default mode, and controlling the television to be powered off.
Judging whether the user is in an eye closing state when watching the television or not according to the eye state in the eye image, wherein the time when the user is in the eye closing state reaches the preset time; the method comprises the steps of obtaining a current power-off mode, controlling the television to be powered off and switching the current power-off mode to a default mode when the current power-off mode is a single mode, and therefore the preset time of next television power-off cannot be influenced. The invention can control the television to be turned off in time even if the user falls asleep when watching the television, so that the user does not need to worry about the problem that the television is always played when falling asleep when watching the television
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The preset time in the present invention refers to the time from the beginning of closing eyes of the user to the turning off of the television, and a timer is used as a timing tool for the preset time, and preferably, the timer used in all embodiments of the present invention has the following characteristics: the timer starts to count time at the same time of starting and performs counting zero clearing at the time of closing. Because the existing timers are of various types, for example, some timers can perform operations of counting, clearing and starting timing in a started state, and the timing can be restarted only when a timing starting command is received.
Because the requirements of different users for the preset time are different, for example, some users like to listen to television programs in a closed-eye manner, the time length requirement of the preset time for the some users is much longer than the default time length of the system preset for a general user, and if all users can only use the default time of the system as the preset time to perform television shutdown management, the user experience is poor.
In the invention, in order to make the user more personalized for the television shutdown management and improve the user experience, when the user uses the method provided by the invention to perform the television shutdown management, the user also provides a single mode besides presetting a default mode and default time as the shutdown mode and the preset time so as to be convenient for the user to self-define and set the preset time, and the single mode means that the preset time set at this time can only be applied to controlling the television shutdown, and needs to be reset when the television is shut down next time. When a user wants to set only the preset time for the television shutdown management, the user can select the single mode and input the associated preset time, and if the user wants to watch the television and have a doze and rest at the same time today, the user needs a longer preset time, and at this time, the user can set the shutdown mode to be the single mode and input the preset time for the desired shutdown.
When the user does not want to set the preset time for shutdown every time and wants to have a preset time more suitable for the user, the user can select to set the default time corresponding to the default mode of the system. If the user likes to listen to the television program with eyes closed, the user often sleeps after listening to the television for half an hour, at the moment, the user sets the default time to be half an hour, the default time is continuously used until the user sets the next default time, and if the user does not reset the default time after setting the default time, the set default time is always used as the corresponding preset time of the default mode.
If the user does not set the single mode and the default time, the present invention uses the preset default mode and the preset default time as the current power-off mode and the preset time, and the preset default time needs to be determined by the technicians in the field according to the experience of the investigation and the practice of the user.
Example 1
Fig. 1 shows an implementation flow of a television shutdown control method based on human eye recognition according to embodiment 1 of the present invention, which is detailed as follows:
in S101, a human eye image is acquired and a human eye state is acquired, and whether the human eye state is a closed eye state is determined.
Before obtaining the preset time and the shutdown mode in S101, the method further includes:
and judging whether the user sets the single mode, if so, setting the single mode to be the shutdown mode, and receiving preset time which is input by the user and is associated with the single mode. And if the user does not set the single mode and the preset time, taking the default mode and the default time as the current shutdown mode and the preset time, wherein if the user sets the default time, the default time set by the user is taken as the preset time.
Before the human eye image is collected in the step S101, a camera module carried by a television or externally connected to the television is used to obtain a human face image of a user, and the human eye image is extracted from the human face image for subsequent processing.
In S101, determining a human eye state according to the human eye image includes:
acquiring a human eye image, and performing two-dimensional discrete cosine transform on the acquired human eye image to obtain a human eye observation vector sequence;
carrying out likelihood value calculation on the human eye observation vector sequence through an embedded hidden Markov model to obtain a likelihood value;
judging whether the likelihood value reaches a threshold value in a closed-eye state; if so, the human eyes are considered to be in the eye closing state.
Sampling the image of the human eye and carrying out two-dimensional discrete cosine transform (2D-DCT) transformation on each sampling window, forming a human eye observation vector sequence by low-frequency coefficients after 2D-DCT transformation, then adopting an embedded hidden Markov model, calculating a likelihood value of the sequence, namely the similarity degree, and judging the opening and closing state of the eye according to the likelihood value.
In S101, it is determined whether or not the human eye state is an eye-closing state, and the human eye state includes two kinds, that is, a state of not closing eyes (open eyes) and a state of closing eyes, where:
and if the eye state is not in the eye closing state, closing the timer, resetting the count of the timer, returning to execute the operations of acquiring the human eye image, acquiring the human eye state and judging whether the human eye state is in the eye closing state.
When the eye-open state is judged, the user is not considered to enter the sleep state, and the television does not need to be shut down and the timer does not need to count time at the moment, so that when the eye-open state is judged, the state of the timer is detected, if the timer is in the non-starting state, the operation of judging whether the eye state is the eye-close state or not and acquiring the eye state is directly returned to S101, the operation of judging whether the eye state is the eye-close state or not is repeated, the subsequent operation is repeated, if the timer is in the starting state, the timer is closed, the counting of the timer is reset, the operation of judging whether the eye state is the eye-close state or not is repeated, and the subsequent operation is repeated. Through the operation, the situation that the user controls the television to be turned off by mistake when watching the television normally can be effectively ensured.
In S102, if the human eye state is the eye closing state, it is determined whether the time in the eye closing state reaches a preset time.
Judging whether the time in the eye closing state reaches the preset time or not, wherein the judging step comprises the following steps:
judging whether the timer is started or not;
if the timer is not started, controlling the timer to start;
if the timer is started, judging whether the counting of the timer reaches the preset time or not;
if the timer reaches the preset time, judging that the time in the eye closing state reaches the preset time; and if the timer does not reach the preset time, judging that the time in the eye closing state does not reach the preset time.
When the eye state is judged to be eye closing, whether the eye closing time reaches the preset time needs to be checked, but when the television is just started or the eye state is judged to be eye opening, the timer is closed, and the timer cannot be used for timing, so that when the eye state is judged to be eye closing, whether the timer state is started needs to be checked, if the timer state is not started, the timer needs to be started, and the timing of the preset time is started.
When the human eye state is recognized to be the eye closing state and the timer is determined to be started, whether the timer reaches the preset time or not is checked, if the timer does not reach the preset time, the human eye state of the user needs to be monitored continuously, so that the operation of collecting the human eye image and acquiring the human eye state in the step S101 needs to be executed, whether the human eye state is the eye closing state or not is judged, and the television is turned off until the time for monitoring the user to close the eye reaches the preset time.
And if the preset time is not reached, returning to execute the operation of acquiring the human eye image, acquiring the human eye state and judging whether the human eye state is the eye closing state.
In S103, if the preset time is reached, obtaining the current shutdown mode, and determining whether the current shutdown mode is the single mode; and if the current power-off mode is the single mode, controlling the current power-off mode to be switched into a default mode, and controlling the television to be powered off.
When the user is detected to be eye-closed, the timer is started and the preset time is reached, the television needs to be shut down, when the user sets the current shutdown mode to be the single mode, in order to enable the single mode and the associated preset time which are set at this time not to influence the next use of the user and the next shutdown mode and the preset time, the single mode and the associated preset time which are set at this time need to be switched to the default mode and the default time, and then the television is shut down. The preset time associated with the single mode is also deleted while the current power-off mode, i.e., the single mode, is switched to the default mode.
Example 2
Based on fig. 2, a flowchart of a television shutdown control method based on human eye recognition in embodiment 2 of the present invention is a specific embodiment of applying the present invention to an automatic shutdown management of an intelligent television, and is detailed as follows:
in S201, a preset time and a shutdown mode are acquired, and a human eye image is acquired.
The method comprises the steps of obtaining a single mode and associated preset time set by a user, directly obtaining a default mode and default time as a shutdown mode and the preset time if the single mode and the associated preset time are not set by the user, and taking the default time modified by the user as the preset time if the default time is modified by the user. The method comprises the steps of obtaining a face image of a user by using a camera module which is self-contained or externally connected with the smart television, and extracting a human eye image from the face image.
In S202, the human eye state is determined from the human eye image.
Sampling the human eye image, performing two-dimensional discrete cosine transform (2D-DCT) on each sampling window, forming a human eye observation vector sequence by low-frequency coefficients after 2D-DCT, then adopting an embedded hidden Markov model, calculating a likelihood value of the sequence, namely the similarity degree, if the likelihood value is greater than a preset closed eye state threshold value, judging that the human eye state is a closed eye state, and if the likelihood value is not greater than the preset closed eye state threshold value, judging that the human eye state is an open eye state.
In S203, it is determined whether or not the eye state is a closed eye state.
And detecting whether the user is in the eye closing state, if not, turning to S204, and if so, turning to S205.
In S204, the timer is turned off.
When the user is in the eye-opening state, the timer is closed, the count of the timer is cleared, and the step S201 is switched to collect the human eye image again, but the preset time and the shutdown mode do not need to be acquired again.
In S205, it is determined whether the timer is started.
When the user closes his eyes, the user checks whether the timer is started, and if the timer is not started, the process goes to S206, and if the timer is started, the process goes to S207.
In S206, a timer is started.
In S207, it is determined whether a preset time is reached.
When the timer is determined to be started, checking whether the counting of the timer reaches the preset time, if not, turning to S201 to acquire the human eye image again, but not acquiring the preset time and the shutdown mode again, and if the preset time is reached, turning to S208.
In S208, it is determined whether or not the mode is the single mode.
When the timer reaches the preset time, detecting whether the power-off mode is the single mode, if not, turning to S210 to directly turn off the television, and if the power-off mode is the single mode, turning to S209.
In S209, control switches the current power-off mode to the default mode.
And when the shutdown mode is detected to be the single mode, deleting the single mode and the associated preset time, and restoring the shutdown mode and the preset time to be the default mode and the default time.
In S210, the television is controlled to be powered off.
In the embodiment, the timer is closed when the eyes of the user are recognized to be open by acquiring the preset time, the human eye image and the shutdown mode, so that the count of the timer is cleared to zero to prevent the television from being controlled to be shut down by mistake. And when the eyes of the user are identified, identifying the state of the timer. And if the timer is not started, starting the timer. If the timer is started to check whether the timer reaches the preset time, when the timer is determined to be started and reach the preset time, the identification of the shutdown mode is carried out, in order to ensure that the single mode and the associated preset time cannot influence the next television shutdown, after the shutdown mode is identified to be the single mode, the shutdown mode and the preset time are recovered to the default mode and the default time, so that the user can control the television to be shut down in time even if the user sleeps when watching the television, the humanized management of the preset time for the television shutdown can be carried out according to different user requirements, and the user does not need to worry about the problem that the television can be played all the time when sleeping when watching the television.
Example 3
Fig. 3 shows a schematic block diagram of a television shutdown control system based on human eye recognition in embodiment 3 of the present invention, which corresponds to the television shutdown control method based on human eye recognition in the foregoing embodiment.
Referring to fig. 3, the system includes:
the acquisition unit 31 is used for acquiring a human eye image, acquiring a human eye state and judging whether the human eye state is a closed eye state;
a judging unit 32, configured to judge whether the time in the eye closing state reaches a preset time when the eye state is the eye closing state;
a shutdown unit 33, configured to, when a preset time is reached, obtain a current shutdown mode, and determine whether the current shutdown mode is a single mode; and when the current power-off mode is the single mode, controlling the current power-off mode to be switched into a default mode and controlling the television to be powered off.
Further, the judging unit 32 includes:
a start judgment subunit 321 configured to judge whether the timer is started;
a starting control subunit 322, configured to control the timer to start when the timer is not started;
a count determination subunit 323, configured to, when the timer is started, obtain a count of the timer, and determine whether the count of the timer reaches a preset time; and if so, judging that the time in the eye closing state reaches the preset time.
Further, determining whether the eye state is an eye-closing state further includes:
and when the eye state is not in the eye closing state, closing the timer, resetting the count of the timer, returning to execute the operations of acquiring the human eye image, acquiring the human eye state and judging whether the human eye state is in the eye closing state.
Further, the judging unit 32 further includes:
and returning to execute the operations of collecting the human eye image, acquiring the human eye state and judging whether the human eye state is the eye closing state or not when the preset time is not reached.
Further, the acquisition unit 31 includes:
the acquisition subunit 311 is configured to acquire a human eye image, and perform two-dimensional discrete cosine transform on the acquired human eye image to obtain a human eye observation vector sequence;
a calculating subunit 312, configured to perform likelihood value calculation on the human eye observation vector sequence through an embedded hidden markov model, so as to obtain a likelihood value;
an eye-closing judgment subunit 313 configured to judge whether the likelihood value reaches a threshold value in an eye-closing state; if so, the human eyes are considered to be in the eye closing state.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention. It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, systems and units described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in this application, it should be understood that the disclosed system, and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. A television shutdown control method based on human eye recognition is characterized by comprising the following steps:
judging whether the television is set to be in a single mode, if so, setting the single mode to be in a shutdown mode, and acquiring preset time associated with the single mode, wherein the preset time associated with the single mode can be set by a user when the single mode is set;
acquiring a human eye image, acquiring a human eye state, and judging whether the human eye state is a closed eye state;
if the human eye state is the eye closing state, judging whether the time in the eye closing state reaches preset time or not;
if the preset time is reached, acquiring a current shutdown mode, and judging whether the current shutdown mode is a single mode; if the current power-off mode is the single mode, controlling the current power-off mode to be switched to a default mode, and controlling the television to be powered off;
if the current shutdown mode is the single mode, controlling the current shutdown mode to be switched to a default mode includes:
if the current shutdown mode is the single mode, deleting the single mode and the associated preset time, and restoring the shutdown mode and the preset time to a default mode and default time; before the user sets the next default time, the default mode is used as a power-off mode in the television power-off management process, and the default time is used as the preset time in the television power-off management process.
2. The method of claim 1, wherein the determining whether the time in the eye-closing state reaches a preset time comprises:
judging whether the timer is started or not;
if the timer is not started, controlling the timer to be started;
if the timer is started, acquiring the count of the timer, and judging whether the count of the timer reaches the preset time or not;
and if so, judging that the time in the eye closing state reaches the preset time.
3. The method of claim 2, wherein said determining whether said eye state is a closed eye state further comprises:
and if the eye state is not in the eye closing state, closing the timer, resetting the count of the timer, returning to execute the operations of acquiring the human eye image, acquiring the human eye state and judging whether the human eye state is in the eye closing state.
4. The method of claim 1, wherein the determining whether the time in the eye-closing state reaches a preset time further comprises:
and if the preset time is not reached, returning to execute the operation of acquiring the human eye image and acquiring the human eye state, and judging whether the human eye state is the eye closing state or not.
5. The method of claim 1, wherein the obtaining the preset time and the human eye image and determining the human eye state according to the human eye image comprises:
acquiring a human eye image, and performing two-dimensional discrete cosine transform on the acquired human eye image to obtain a human eye observation vector sequence;
carrying out likelihood value calculation on the human eye observation vector sequence through an embedded hidden Markov model to obtain a likelihood value;
judging whether the likelihood value reaches a threshold value in the eye closing state; and if so, determining that the human eyes are in an eye closing state.
6. A television shutdown control system based on eye recognition, comprising:
judging whether the television is set to be in a single mode, if so, setting the single mode to be in a shutdown mode, and acquiring preset time associated with the single mode, wherein the preset time associated with the single mode can be set by a user when the single mode is set;
the acquisition unit is used for acquiring a human eye image, acquiring a human eye state and judging whether the human eye state is a closed eye state;
the judging unit is used for judging whether the time in the eye closing state reaches the preset time or not when the eye state is the eye closing state;
the shutdown unit is used for acquiring a current shutdown mode when the preset time is reached, and judging whether the current shutdown mode is a single mode; when the current power-off mode is the single mode, controlling the current power-off mode to be switched to a default mode, and controlling the television to be powered off;
the shutdown unit is further specifically configured to delete the single mode and the associated preset time when the current shutdown mode is the single mode, and restore the shutdown mode and the preset time to a default mode and default time; before the user sets the next default time, the default mode is used as a power-off mode in the television power-off management process, and the default time is used as the preset time in the television power-off management process.
7. The system of claim 6, wherein the determining unit comprises:
a starting judgment subunit, configured to judge whether the timer is started;
the starting control subunit is used for controlling the timer to start when the timer is not started;
the counting judgment subunit is used for acquiring the counting of the timer when the timer is started and judging whether the counting of the timer reaches the preset time or not; and if so, judging that the time in the eye closing state reaches the preset time.
8. The system of claim 7, wherein said determining whether said eye state is a closed eye state further comprises:
and when the eye state is not in the eye closing state, closing the timer, resetting the count of the timer, returning to execute the operations of acquiring the human eye image, acquiring the human eye state and judging whether the human eye state is in the eye closing state.
9. The system of claim 6, wherein the determining unit further comprises:
and returning to execute the operations of collecting the human eye image, acquiring the human eye state and judging whether the human eye state is the eye closing state or not when the preset time is not reached.
10. The system of claim 6, wherein the acquisition unit comprises:
the acquisition subunit is used for acquiring a human eye image and performing two-dimensional discrete cosine transform on the acquired human eye image to obtain a human eye observation vector sequence;
the calculating subunit is used for calculating the likelihood value of the human eye observation vector sequence through an embedded hidden Markov model to obtain the likelihood value;
an eye-closing judging subunit, configured to judge whether the likelihood value reaches a threshold in the eye-closing state; and if so, determining that the human eyes are in an eye closing state.
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