Coordinated Baby and Adult Sleep Tracking With Wearable Data
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Solution Overview
Problem
Existing systems fail to effectively track and improve sleep patterns for both adults and babies, leading to potential health issues and sleep disruptions, particularly for women and infants, due to irregular sleep patterns and lack of personalized sleep advice.
Innovation Solution
A sleep tracking system that includes adult and baby monitors, utilizing contactless and contact-based sensors to learn sleep patterns, generate predictive models, and provide personalized sleep advice through an app, adjusting light and sound to enhance sleep quality and duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors are used to detect sleep stages, then measurement capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts and removes motion sensors from the sleep tracking system, relying instead on data from wearable devices (accelerometers, gyroscopes, heart rate monitors) that users already possess. This eliminates the need for complex motion sensing infrastructure while maintaining sleep stage detection capabilities through analysis of existing wearable data patterns.
Solution Approach 2:
The system leverages multi-functional wearable devices that serve both exercise tracking and sleep monitoring purposes. These devices already contain motion sensors, heart rate monitors, and other sensors that can be repurposed for sleep stage detection, eliminating the need for dedicated sleep tracking hardware and reducing overall system complexity.
2Measurement precision
If multiple sensors are deployed in the sleeping area, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent removes the requirement for deploying multiple sensors in the sleeping area. Instead, it extracts and utilizes data from wearable devices that users already wear during their daily activities, including sleep time. This eliminates the complex setup process while maintaining accurate sleep parameter detection through continuous wearable device data collection.
Solution Approach 2:
The system enables users to automatically track their sleep by simply wearing their existing wearable device to bed. The wearable device autonomously collects sleep data without requiring users to set up additional sensors or configure complex systems. The processor automatically analyzes the wearable device data to determine sleep stages and parameters.
3Measurement precision
If motion sensors are used, then sleep stage detection accuracy is improved, but loss of time in setup and calibration increases
Solution Approach 1:
The patent eliminates the need for motion sensor installation and calibration by extracting and utilizing data from wearable devices that users already possess and are accustomed to wearing. The system processes existing wearable device data to determine sleep stages, completely removing the time-consuming setup and calibration processes associated with motion sensors.
Solution Approach 2:
Users already wear their wearable devices during daily activities and exercise, so the device is already positioned on their body before sleep. The system utilizes this pre-positioned device to automatically collect sleep data without requiring any additional setup actions. The wearable device continuously tracks physical activity data that can be used to infer sleep parameters.
Data Source
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AI summary
There is provided a sleep tracking system comprising a baby sleep tracking device and an adult sleep tracker device. The baby sleep tracking device is configured to track a baby's sleep patterns. The adult sleep tracker device is configured to track an adult's sleep patterns. The sleep tracking system is configured to generate a coordinated sleep schedule.