System for intelligently controlling screen terminal used by children

Abstract

The invention discloses a system for intelligently controlling a child to use a screen terminal, and the system comprises a multi-mode sensing module which comprises a camera, a ToF sensor, an ambient light sensor and the like, and is used for collecting user and environment data; the child identification module identifies the identity of a child based on dual verification of facial features and behavior features; the watching state analysis module is used for monitoring the watching distance, duration, posture and environment illumination conditions in real time; the health risk assessment module is used for calculating a real-time risk level according to the multivariate parameters; the anti-bypassing intervention module is used for intercepting illegal instructions in a system framework layer and executing a control strategy; and the parent management module provides remote monitoring, strategy customization and equipment unlocking functions. A multi-mode child identity recognition mechanism is adopted, facial feature recognition and behavior feature recognition are fused, and the recognition accuracy is improved.

Description

Technical Field

[0001] This invention relates to the field of screen control technology, specifically to a system for intelligently controlling children's use of screen terminals. Background Technology

[0002] With the widespread use of smart devices, children's premature and excessive use of screen devices has become a serious social problem. Existing technologies have the following limitations:

[0003] Low recognition accuracy: Single biometric recognition is easily fooled, such as unlocking with a photo;

[0004] Easy to bypass: Children can easily turn off the prompts using remote control buttons, voice assistants, etc.

[0005] Lack of adaptability: The fixed usage time limit does not take into account the age differences of children;

[0006] Poor user experience: Forced screen locking triggers resistance from children.

[0007] Therefore, there is an urgent need for a system to intelligently manage children's use of screen terminals. Summary of the Invention

[0008] The technical problem solved by this invention is to propose a system for intelligent control of children's use of screen terminals.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a system for intelligently controlling children's use of screen terminals, comprising:

[0010] Multimodal sensing module: includes a camera, a ToF sensor, and an ambient light sensor, used to collect user and environmental data;

[0011] Child identification module: Identifies children based on both facial and behavioral characteristics.

[0012] Viewing status analysis module: Real-time monitoring of viewing distance, duration, posture, and ambient lighting conditions;

[0013] Health risk assessment module: Calculates real-time risk level based on multiple parameters;

[0014] Anti-bypass intervention module: Intercepts illegal commands at the system framework layer and executes control policies;

[0015] Parental control module: Provides remote monitoring, policy customization, and device unlocking functions.

[0016] Furthermore, the child identification module includes:

[0017] Level 1 Recognition: Facial Feature Recognition

[0018] Extract facial feature distribution features, face shape features, and facial feature shape features from facial images;

[0019] Calculate facial feature values: E = H × (L1 × Q1 + L2 × Q2);

[0020] Where H is the face width, L1 / L2 are the binocular / nose feature values, and Q1 / Q2 are the corresponding weight coefficients;

[0021] The system compares the user's facial features with a preset threshold to determine whether the user is a child.

[0022] Furthermore, the feature is that the child identification module further includes:

[0023] Secondary identification: Behavioral feature identification

[0024] Analyze the operating characteristics of the touchscreen;

[0025] Monitor typical children's operating patterns;

[0026] The child's identity was confirmed by combining the results of the two levels of identification.

[0027] Furthermore, the viewing status analysis module includes viewing distance monitoring, single session duration monitoring, ambient light monitoring, and viewing posture monitoring, forming distance factor, duration factor, light environment factor, and posture factor;

[0028] The health score of the health risk assessment module is calculated as follows: distance factor × 0.4 + duration factor × 0.3 + light environment factor × 0.2 + posture factor × 0.1.

[0029] Furthermore, the anti-bypass intervention module's interception of illegal commands at the system framework layer includes:

[0030] Command interception architecture:

[0031] Application-level interception: Apps in child mode are set to the highest priority, and system commands are processed first.

[0032] Framework layer interception: Implanting instruction filters at the system framework layer;

[0033] Multi-path interception strategy:

[0034] Key command interception: When the child mode application displays a prompt message, an interception notification is sent to the key management unit to prevent it from sending or to mark key commands received during the control period as invalid;

[0035] Voice command blocking: The child mode app takes precedence over the voice assistant app in receiving voice commands and does not respond to commands to close the prompt.

[0036] Touch command interception: Ignore touch operations in a specific area, or require verification code verification.

[0037] Furthermore, the control strategy of the anti-detour intervention module is implemented in a progressive manner based on the health risk assessment module.

[0038] Furthermore, the parent management module:

[0039] Real-time status monitoring: View the child's current usage status, health score, and historical usage records;

[0040] Flexible strategy configuration: Set differentiated strategies according to different scenarios;

[0041] Remote operation: Supports remote device locking and extended usage time;

[0042] Data Reports: Generate weekly / monthly usage reports, including total duration, distribution of major activities, and number of interventions.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] 1. Multimodal child identification mechanism: Integrates facial and behavioral features to improve identification accuracy;

[0045] 2. View the health dynamic assessment model: assess risk by comprehensively considering multiple factors such as distance, duration, and ambient light;

[0046] 3. Anti-bypass command interception system: Intercepts bypass attempts at the application layer and framework layer to ensure the effectiveness of control;

[0047] 4. Gradual intervention strategy: Adopt different intervention methods according to the risk level to improve user experience;

[0048] 5. Parental Remote Management Platform: Supports remote monitoring, policy adjustment, and device unlocking. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the test method flow structure of the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] This invention provides a technical solution:

[0052] This invention provides a system for intelligently controlling children's use of screen terminals, comprising the following core modules:

[0053] Multimodal sensing module: including camera, ToF sensor, ambient light sensor, etc., used to collect user and environmental data;

[0054] Child identification module: Identifies children based on both facial and behavioral characteristics.

[0055] Viewing status analysis module: Real-time monitoring of viewing distance, duration, posture, and ambient lighting conditions;

[0056] Health risk assessment module: Calculates real-time risk level based on multiple parameters;

[0057] Anti-bypass intervention module: Intercepts illegal commands at the system framework layer and executes control policies;

[0058] Parental control module: Provides remote monitoring, policy customization, and device unlocking functions.

[0059] Implementation steps

[0060] Intelligent identification of children

[0061] A two-level recognition strategy is employed to ensure accuracy:

[0062] Level 1 Recognition: Facial Feature Recognition

[0063] Extract facial feature distribution features, face shape features, and facial feature shape features from facial images.

[0064] Calculate facial feature values: E = H × (L1 × Q1 + L2 × Q2);

[0065] Where H is the face width, L1 / L2 are the binocular / nose feature values, and Q1 / Q2 are the corresponding weight coefficients;

[0066] The system compares the user's facial features with a preset threshold to preliminarily determine whether the user is a child.

[0067] Secondary identification: Behavioral feature identification

[0068] Analyze touchscreen operation characteristics (operational precision, regularity of sliding trajectory)

[0069] Monitor typical children's operating patterns (such as rapid random clicks and irregular swipes).

[0070] By combining the results of the two levels of identification, the child's identity was confirmed, and the identification accuracy rate was improved to over 98%.

[0071] Watch health status monitoring

[0072] The system monitors the following health indicators in real time:

[0073]

[0074]

[0075] View overall health rating:

[0076] Health score = Distance factor × 0.4 + Duration factor × 0.3 + Light environment factor × 0.2 + Posture factor × 0.1;

[0077] A score below 60 triggers an intervention mechanism.

[0078] The core technology of this system lies in preventing children from bypassing intervention prompts:

[0079] Command interception architecture:

[0080] Use layered interception: Set the highest priority for apps in child mode, prioritizing the processing of system commands;

[0081] Framework layer interception: Inject instruction filters into the system framework layer (such as the key management unit);

[0082] Multi-path interception strategy:

[0083] Key command interception: When the child mode application displays a prompt message, an interception notification is sent to the key management unit to prevent it from sending or to mark key commands received during the control period as invalid;

[0084] Voice command blocking: The child mode app takes precedence over the voice assistant app in receiving voice commands and does not respond to commands to close the prompt.

[0085] Touch command interception: Ignore touch operations in specific areas (such as the close button) or require verification code completion.

[0086] Interception effect: The success rate of preventing detours has been increased from about 40% in traditional methods to over 95% in this method.

[0087] Tiered intervention strategy

[0088] The system implements gradual interventions based on health scores:

[0089] Risk level health score intervention measures

[0090] Mild: 60-70 points, displays a gentle prompt (such as "Keep a little further away to protect your eyes"), which disappears automatically after 10 seconds;

[0091] Moderate: 40-59 points, continuously displays a semi-transparent warning box, reduces screen brightness by 30%, and reduces blue light output;

[0092] Severe: 20-39 points, application area occlusion (such as frame rate reduction in game scenes, video pause), prompt to complete a small task (such as blinking exercise) to remove;

[0093] Severe: <20 points, force screen lock for 5 minutes, display fun educational animation (such as "Your eyes are tired, let them rest").

[0094] Parents can use a dedicated app or web platform:

[0095] Real-time status monitoring: View the child's current usage status, health score, and historical usage records;

[0096] Flexible strategy configuration: Set differentiated strategies according to different scenarios (weekdays / weekends, study / entertainment);

[0097] Remote operation: Supports remote device locking and extended usage time (e.g., rewards for completing learning tasks);

[0098] Data Reports: Generate weekly / monthly usage reports, including total duration, distribution of major activities, number of interventions, etc.

[0099] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A system for intelligently controlling children's use of screen terminals, characterized in that: include: Multimodal perception module: includes a camera, a ToF sensor, and an ambient light sensor, used to collect user and environmental data; Child identification module: Identifies children based on both facial and behavioral characteristics. Viewing status analysis module: Real-time monitoring of viewing distance, duration, posture, and ambient lighting conditions; Health risk assessment module: Calculates real-time risk level based on multiple parameters; Anti-bypass intervention module: Intercepts illegal commands at the system framework layer and executes control policies; Parental control module: Provides remote monitoring, policy customization, and device unlocking functions.

2. The system for intelligently controlling children's use of screen terminals according to claim 1, characterized in that: The child identification module includes: Level 1 Recognition: Facial Feature Recognition Extract facial feature distribution features, face shape features, and facial feature shape features from facial images; Calculate facial feature values: E = H × (L1 × Q1 + L2 × Q2); Where H is the face width, L1 / L2 are the binocular / nose feature values, and Q1 / Q2 are the corresponding weight coefficients; The system compares the user's facial features with a preset threshold to determine whether the user is a child.

3. The system for intelligently controlling children's use of screen terminals according to claim 2, characterized in that: The child identification module also includes: Secondary identification: Behavioral feature identification Analyze the operating characteristics of the touchscreen; Monitor typical children's operating patterns; The child's identity was confirmed by combining the results of the two levels of identification.

4. The system for intelligently controlling children's use of screen terminals according to claim 1, characterized in that: The viewing status analysis module includes viewing distance monitoring, single session duration monitoring, ambient light monitoring, and viewing posture monitoring, forming distance factor, duration factor, light environment factor, and posture factor; The health score of the health risk assessment module is calculated as follows: distance factor × 0.4 + duration factor × 0.3 + light environment factor × 0.2 + posture factor × 0.

1.

5. The system for intelligently controlling children's use of screen terminals according to claim 1, characterized in that: The anti-bypass intervention module intercepts illegal commands at the system framework layer, including: Command interception architecture: Application-level interception: Apps in child mode are set to the highest priority, and system commands are processed first. Framework layer interception: Implanting instruction filters at the system framework layer; Multi-path interception strategy: Key command interception: When the child mode application displays a prompt message, an interception notification is sent to the key management unit to prevent it from sending or to mark key commands received during the control period as invalid; Voice command blocking: The child mode app takes precedence over the voice assistant app in receiving voice commands and does not respond to commands to close the prompt. Touch command interception: Ignore touch operations in a specific area, or require verification code verification.

6. The system for intelligently controlling children's use of screen terminals according to claim 1, characterized in that: The control strategy of the anti-detour intervention module is to implement gradual intervention based on the health risk assessment module.

7. The system for intelligently controlling children's use of screen terminals according to claim 1, characterized in that: The parent management module: Real-time status monitoring: View the child's current usage status, health score, and historical usage records; Flexible strategy configuration: Set differentiated strategies according to different scenarios; Remote operation: Supports remote device locking and extended usage time; Data Reports: Generate weekly / monthly usage reports, including total duration, distribution of major activities, and number of interventions.

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