Sleep Aid Device Dynamic Display Adjustment
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Solution Overview
Problem
Modern society faces challenges with falling asleep and low sleep quality due to stress and late-night screen use, with existing sleep aiding devices relying on brain wave measurement and frequency output, but lacking adaptive display and play modes to match changing sleep-awake states.
Innovation Solution
A sleep aiding device and system that includes a physical-sign detecting part, a brainwave detecting part, and a display and play part, which automatically adjust display and play modes based on detected physical and brainwave data to match the user's sleep-awake degree, using a server to generate and send instructions for adjusting brightness and content accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If brain wave measurement and frequency output are used, then sleep quality can be improved, but the device lacks adaptive display and play modes to match changing sleep-awake states
Solution Approach 1:
The patent implements dynamic adjustment of display and play modes based on real-time brain wave measurements. The system transitions from static frequency output to dynamic multi-mode operation, where display brightness, content, and audio play characteristics automatically adapt to match the user's sleep-awake state transitions, resolving the contradiction between reliability and adaptability
Solution Approach 2:
The patent establishes a closed-loop feedback system where brain wave sensors continuously monitor user state, the controller processes this information, and adjusts display and play modes accordingly. This feedback mechanism enables the device to adapt to changing sleep states, simultaneously improving sleep quality reliability and adding adaptive versatility
2Extent of automation
If display and play modes are manually adjusted, then user control is maintained, but the system cannot automatically respond to changing sleep states
Solution Approach 1:
The patent implements self-service automation where the system independently monitors brain wave patterns, determines sleep states, and adjusts display/play modes without user intervention. The controller autonomously processes sensor data and executes appropriate mode transitions, achieving high automation while maintaining ease of operation through hands-free operation
Solution Approach 2:
The system performs preliminary detection and classification of sleep states before executing mode adjustments. By pre-processing brain wave signals and identifying transition points, the system prepares and executes appropriate display/play mode changes in advance, enabling smooth automatic transitions while preserving user comfort and control
3Adaptability or versatility
If fixed frequency output is used, then device complexity is low, but the system cannot dynamically match user sleep-awake degree
Solution Approach 1:
The patent integrates multiple functions into a unified system where a single controller manages brain wave processing, sleep state determination, and coordination of both display and audio play modes. This multi-functional approach enables dynamic matching of sleep-awake degree while managing device complexity through centralized control rather than separate independent systems
Data Source
Figure 1~2A
Figure 2B~2C
Figure 3~4
AI summary
A sleep aiding device (101) and a method (300) thereof, a server (150) and a method (500) thereof and a sleep aiding system (600). The sleep aiding device (101) includes: a physical-sign detecting part (202), configured to detect physical sign data associated with a user; a brainwave detecting part (204), configured to detect brainwave signal data associated with the user; and a display and play part (206), configured to: receive a display and play instruction, and adjust at least one of a display mode and a play mode of the sleep aiding device according to the display and play instruction. The display and play instruction is generated according to at least one of the physical sign data and the brainwave signal data.