User Device Settings Adjustment via Biometric Detection
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Solution Overview
Problem
Current user devices, such as smartphones and tablets, lack effective mechanisms to prevent children from accessing inappropriate content, even when parents attempt to restrict access, as children may accidentally or unknowingly perform actions on these devices.
Innovation Solution
Implementing user devices with sensors and recognition technologies to detect user characteristics, such as finger size and pressure patterns, and adjust settings accordingly, including facial or voice recognition, to differentiate between adult and child users, thereby restricting content access and requiring authentication for certain actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parental control settings are implemented to restrict content access, then content safety for children is improved, but children can still accidentally access inappropriate content without parent knowledge
Solution Approach 1:
The system enables the device to automatically detect user identity through sensors (fingerprint, facial recognition, voice) and autonomously adjust settings without requiring constant parental intervention. The device serves itself by identifying when a child is using the device and automatically applying appropriate restrictions.
Solution Approach 2:
The patent replaces manual parental control mechanisms with automated biometric detection systems. Instead of requiring parents to manually monitor and control content access, the system uses sensors and algorithms to automatically identify users and enforce appropriate settings based on detected user characteristics.
2Reliability
If automated user detection and setting adjustment is implemented, then content safety and parental control are improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensor components that can perform multiple detection tasks. For example, the same sensor array can detect fingerprint patterns, facial features, and voice characteristics, allowing a single hardware component to support multiple authentication methods rather than requiring separate dedicated sensors for each function.
Solution Approach 2:
The patent introduces software algorithms and processing layers that act as intermediaries between the physical sensors and the control system. These intermediary components translate raw sensor data into user identity determinations and automatically adjust settings, simplifying the overall system architecture by creating a clear separation between detection, analysis, and execution functions.
Data Source
AI summary
Systems and methods according to one or more embodiments are provided for detecting or recognizing a user and intelligently altering or adjusting user device settings appropriate for the detected user. In an embodiment, a method comprises detecting, electronically by a processor, a first user interacting with a user device via a user input interface of the user device; determining, electronically by the processor, one or more characteristics associated with a primary user of the user device; determining, electronically by the processor, the first user is not the primary user based at least in part on comparing interactions of the first user with the user device and the one or more characteristics associated with the primary user of the user device; and altering one or more settings of the user device.