Camera-Based Digital Wellness Monitoring for Screen-Time Hygiene
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Solution Overview
Problem
Existing digital wellness technologies fail to account for user presence, identity, or physical characteristics, leading to inadequate monitoring and feedback on digital hygiene, which can result in health issues such as eye strain, headaches, and poor posture due to prolonged screen time and improper usage habits.
Innovation Solution
A system and method that uses imaging and biometric data to monitor user interactions with computing devices, providing feedback on health and safety practices by tracking anthropometric features like head pose, eye position, and gaze to enforce screen time limits, eye breaks, and correct posture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If schedule-based screen time applications and simple countdown break reminders are used, then basic time management is provided, but user presence, identity, and physical characteristics are not accounted for
Solution Approach 1:
The system uses the device's existing camera and sensor components to automatically capture user biometric data without requiring external specialized equipment. The processing algorithms automatically analyze the captured data to extract anthropometric features, head pose, eye position, and gaze information, enabling the system to serve itself with the resources already available in the computing device.
Solution Approach 2:
The patent replaces manual self-reporting or simple timer-based systems with automated optical sensing and computer vision algorithms. The imaging module captures visual data, and machine learning algorithms process this data to automatically determine user characteristics, replacing the need for mechanical or manual input methods.
2Measurement precision
If biometric data processing and user detection algorithms are implemented, then personalized digital wellness monitoring is achieved, but computational resources and processing time increase
Solution Approach 1:
The system processes biometric data at different levels of detail based on current needs. Rather than continuously performing full-scale analysis, the system adjusts the intensity of processing - using simpler checks when basic monitoring suffices and more complex analysis only when specific wellness interventions are triggered, thus avoiding excessive computational energy consumption.
Solution Approach 2:
The system pre-processes and stores extracted anthropometric features and user characteristics during normal operation. This preliminary processing allows the system to quickly retrieve and use this information for wellness monitoring without performing full biometric analysis in real-time, reducing instantaneous computational energy requirements while maintaining measurement precision.
Data Source
AI summary
Systems and associated methods are provided for monitoring a user while operating a computing device and providing active feedback to the user regarding health and safety best practices associated with operating the computing device. The methods comprise obtaining user biometric data; converting the biometric data into actionable instances of health and safety user device operation use cases; and interacting with the user based on the actionable instances in order to improve or remedy any deviations from recommended health and safety user device operation practices.