Viewing Posture Detection Using Front Camera and Sensors

The patent reuses existing multi-functional components already present in mobile devices. The front-facing camera serves both its primary function of capturing user images for authentication or video calls and the additional function of measuring viewing distance and angle. Embedded sensors like accelerometers and gyroscopes, originally designed for screen orientation and motion detection, are repurposed to monitor device viewing angle. This multi-functionality approach improves measurement precision without adding dedicated monitoring hardware, thereby avoiding increased device complexity.

Instead of continuous monitoring that would consume constant energy, the system implements periodic sampling of viewing posture data. The camera and sensors capture viewing distance and angle at regular intervals during device usage. This periodic action maintains reliable eyesight protection by detecting improper postures when they occur, while significantly reducing energy consumption compared to continuous real-time monitoring. The system can adjust the sampling frequency based on usage patterns to optimize between protection reliability and energy savings.

The system implements a feedback mechanism where viewing posture data captured by the camera and sensors is continuously analyzed, and when improper posture is detected, the system provides immediate feedback to the user through visual, auditory, or haptic alerts. This feedback loop enables automatic posture regulation by guiding users to adjust their viewing distance and angle without requiring complex mechanical adjustment mechanisms. The simplicity of the feedback-based approach maintains ease of operation while avoiding the complexity of active mechanical regulation systems.

The patent leverages the self-service capability of existing device components to perform viewing posture monitoring. The front-facing camera and embedded sensors, which are already manufactured and integrated into every mobile device, automatically capture and process viewing posture data without requiring additional specialized sensors or cameras. This self-service approach allows comprehensive monitoring functionality to be achieved using existing hardware, thereby improving measurement precision while avoiding increased manufacturing costs associated with adding dedicated monitoring components.