Cognitive Media Playback Using Biometric Sleep Detection
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Solution Overview
Problem
Existing media playback devices lack effective mechanisms to dynamically adjust media content playback based on a user's sleep state, often resulting in missed content or inconvenient pausing, especially when using manual sleep timers.
Innovation Solution
A cognitive media playback system that uses biometric data from devices like smartwatches to determine a user's sleep state and adjust media playback accordingly, incorporating user preferences and machine learning to learn and apply optimal playback settings, such as pausing, rewinding, or continuing media content based on the type of media and sleep state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a manual sleep timer is used to pause media content, then power consumption is reduced, but the user may miss content or have inconvenient pausing
Solution Approach 1:
The system uses biometric sensors to automatically detect when the user falls asleep and autonomously adjusts media playback without requiring manual user input. The device monitors physiological parameters and independently determines when to pause or continue playback, eliminating the need for manual sleep timer configuration while preventing missed content.
Solution Approach 2:
The system continuously monitors biometric data (heart rate, movement, temperature) and uses this feedback to dynamically adjust media playback. When the user's physiological indicators suggest they are asleep, the system pauses playback; when indicators suggest the user is awake, playback continues or resumes, creating a closed-loop adaptive system.
2Duration of action of stationary object
If media content continues to play when the user falls asleep, then media consumption is uninterrupted, but the user misses portions of content
Solution Approach 1:
The system monitors biometric parameters in real-time and uses this feedback to detect sleep state transitions. When the user's physiological data indicates they have fallen asleep, the system automatically pauses media playback to prevent missed content, and can resume playback when the user wakes up based on reverse physiological indicators.
Solution Approach 2:
The device autonomously monitors the user's sleep state and independently makes decisions about media playback without requiring manual intervention. The system self-adjusts playback status based on detected physiological states, ensuring content is not missed while maintaining uninterrupted playback during wakeful states.
3Loss of energy
If a sleep timer pauses media content after a predetermined time, then power is conserved, but the user may fall asleep before or after the timer expires
Solution Approach 1:
The system replaces the mechanical/time-based sleep timer with a biometric-based detection system. Instead of pausing media after a fixed time interval, the system continuously monitors physiological parameters (heart rate variability, movement, skin temperature) and pauses playback only when actual sleep state is detected, eliminating the mismatch between timer expiration and actual sleep onset.
Solution Approach 2:
The system uses real-time biometric feedback to dynamically determine when the user has actually fallen asleep, rather than relying on predetermined time intervals. This continuous monitoring and response mechanism ensures media playback is paused at the precise moment sleep occurs, optimizing both energy conservation and user experience.
Data Source
AI summary
Provided is a method, system, and computer program product for dynamically enhancing the media consumption experience of a user. A processor may output media content selected by a user on a media playback device. The processor may receive data indicating a sleep state of the user from a determination device. The processor may alter the output of the media content based, at least in part, on a type of the media content and the sleep state of the user.