Media Content Filter for Sleep State Adaptation
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Solution Overview
Problem
Current smart television systems lack the ability to automatically adjust media settings based on the user's physical or behavioral characteristics, such as sleep state, leading to inadequate customization and potential disturbance between multiple users with different sleep states.
Innovation Solution
A system that uses sensors to determine a user's sleep state and applies filters to media content in real-time, adjusting settings like brightness and sound to ensure comfortable viewing for individuals while minimizing disturbance, even in multi-user scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual control settings are provided for media consumption, then users can customize their viewing experience, but the system lacks automatic adaptation to user's physical state
Solution Approach 1:
The system automatically detects user sleep state through sensors and applies appropriate filters without requiring manual user input. The television device monitors biometric data, determines sleep state, and autonomously adjusts media playback parameters, enabling the system to serve itself in adapting to user physical condition.
Solution Approach 2:
The system continuously monitors user physiological state through sensors and uses this feedback to dynamically adjust media playback settings. The closed-loop control mechanism detects changes in sleep state and automatically modifies brightness, contrast, and audio settings accordingly, creating a responsive adaptive system.
2Adaptability or versatility
If multiple users with different sleep states are present, then the system should accommodate each user's needs, but user conflicts and disturbances may occur
Solution Approach 1:
The system applies different filter settings to different users based on their individual sleep states. Each user's media experience is locally optimized according to their physiological condition, allowing one user to view content with appropriate settings while another user nearby maintains sleep with minimal disturbance through separate sensor detection and filter application.
Solution Approach 2:
The system segments the user base into different sleep state categories and applies distinct filter configurations for each segment. By dividing users into those requiring wakeful viewing modes versus those requiring sleep-friendly modes, the system can simultaneously accommodate multiple users with different needs without mutual interference.
3Extent of automation
If automatic sleep state detection is implemented, then media settings can be dynamically adjusted, but system complexity increases
Solution Approach 1:
The system uses a single sensor device that serves multiple functions: detecting presence, monitoring sleep state, and providing biometric data for filter determination. This multi-functional approach reduces the need for separate specialized sensors and simplifies the overall system architecture while achieving automatic sleep state detection.
Solution Approach 2:
The system introduces a filter mechanism as an intermediary layer between the raw sensor data and the final media output. This filter acts as a mediator that translates complex sensor readings into standardized playback parameter adjustments, simplifying the control logic and reducing the computational burden on the main system.
Data Source
AI summary
Systems and methods for filtering a content item based on a determined sleep state or emotional state of a user are described. A plurality of electronic devices, each having a sensor, or set of sensors, within a predetermined distance of an output device, such as a display device, are detected. Biometric data from the sensors is obtained. The biometric data is associated with a sleep state or emotional state for a user associated with each electronic device. The sleep states vary from being awake to deep sleep. A filter accommodating each determined sleep state is selected and applied to the content item prior to it being displayed on the display device. The content item is displayed on the display device with the applied filter. The filtering process is performed at a processing device or server and not by the display device.