Sleep Alarm Scheduling via Sensor Data Analysis
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Solution Overview
Problem
Existing electronic devices and applications for tracking sleep habits are often costly and difficult to operate, leading to limited adoption and use, despite the importance of consistent sleep habits for health.
Innovation Solution
A computer-implemented method and system that presents a graphical user interface for interacting with a sleep alarm, allowing users to configure and schedule sleep alerts and wake-up alerts, utilizing an adjustable alarm indicator and sleep graph to visualize and adjust sleep data, making it accessible and user-friendly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized electronic devices and applications are developed to track sleep habits, then sleep tracking functionality is improved, but device complexity and cost increase
Solution Approach 1:
The patent integrates sleep tracking functionality into existing alarm clock applications, allowing the same device to serve both as a conventional alarm clock and a sleep tracker. The system uses existing sensors (microphone, accelerometer, light sensor) already present in smartphones and tablets to monitor sleep parameters without requiring specialized hardware.
Solution Approach 2:
The system automatically analyzes audio and motion data collected during sleep to determine sleep quality metrics, breathing patterns, and sleep stages without requiring user intervention. The alarm clock application self-configures based on collected data and provides automated feedback, eliminating the need for manual setup or specialized operation.
2Reliability
If specialized electronic devices and applications are developed to track sleep habits, then sleep tracking functionality is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically analyzes audio and motion data collected during sleep to determine sleep quality metrics, breathing patterns, and sleep stages without requiring user intervention. The alarm clock application self-configures based on collected data and provides automated feedback, eliminating the need for manual setup or specialized operation.
Solution Approach 2:
The system performs automatic configuration and calibration during initial use by collecting data during the user's natural sleep pattern. This preliminary data collection allows the system to adapt to individual sleep characteristics without requiring users to manually input preferences or undergo setup procedures.
3Adaptability or versatility
If multiple alarm clock applications with unique methods are provided, then alarm functionality is improved, but ease of operation deteriorates
Solution Approach 1:
The patent integrates sleep tracking functionality into existing alarm clock applications, allowing the same device to serve both as a conventional alarm clock and a sleep tracker. The system uses existing sensors (microphone, accelerometer, light sensor) already present in smartphones and tablets to monitor sleep parameters without requiring specialized hardware.
Data Source
AI summary
First interaction data may be received and used to determine a beginning sleep time. Second interaction data may be received and used to determine an interrupted period during an expected sleep period. Third interaction data may be received and used to determine an end sleep time.


