Wearable Physiological Control of Sleep Environment Devices
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Solution Overview
Problem
Health-related insights from wearable devices are of little utility if users do not view or act upon collected physiological data, such as poor sleep indicators, leading to a lack of actionable improvements.
Innovation Solution
A system that utilizes physiological data from wearable devices to control external devices like televisions, lights, and thermostats based on user states and activities, adjusting environmental parameters to improve sleep and health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physiological data is collected and displayed to users, then health insights are provided, but user engagement and actionable improvements remain low
Solution Approach 1:
The system implements automated feedback loops where physiological data triggers automatic environmental adjustments. Sensors continuously monitor user state (e.g., sleep stages, stress levels) and the system responds by adjusting lighting, temperature, or notifying relevant parties, creating a closed-loop feedback system that transforms static data into dynamic, actionable environmental changes without requiring active user intervention.
Solution Approach 2:
The system enables self-service by automatically interpreting physiological data and executing appropriate actions without user involvement. The wearable device and connected environmental controls work autonomously to adjust settings based on detected physiological states, allowing the system to serve itself and the user simultaneously without requiring the user to manually process or act on health insights.
2Loss of information
If manual monitoring and adjustment of health parameters is required, then user awareness is improved, but convenience and scalability deteriorate
Solution Approach 1:
The patent merges the wearable physiological monitoring device with the environmental control system into an integrated ecosystem. The wearable device, mobile application, and environmental controls (lights, thermostats, notifications) are combined into a unified system that automatically processes physiological data and executes environmental adjustments, eliminating the need for separate manual monitoring and control actions.
Solution Approach 2:
The system achieves multi-functionality by enabling a single integrated platform to perform physiological monitoring, data interpretation, environmental control, and communication functions simultaneously. The wearable device serves multiple purposes: collecting physiological data, determining user state, triggering environmental adjustments, and coordinating with external systems, thereby reducing overall system complexity despite the breadth of functionality.
3Reliability
If environmental parameters are manually adjusted based on health data, then sleep quality may improve, but time consumption and productivity decrease
Solution Approach 1:
The system performs preliminary actions by proactively adjusting environmental parameters before sleep onset based on predicted sleep needs. The wearable device monitors physiological indicators in real-time and preemptively modifies lighting, temperature, or sends notifications to prepare the environment for optimal sleep conditions, eliminating the need for last-minute manual adjustments and ensuring sleep quality is optimized in advance.
Solution Approach 2:
The system maintains continuous useful action by constantly monitoring physiological parameters and continuously adjusting environmental settings throughout the sleep period. Rather than making discrete manual adjustments, the system operates continuously to maintain optimal sleep conditions, ensuring uninterrupted sleep quality without requiring the user to spend time on repeated adjustments.
Data Source
AI summary
Methods, systems, and devices for controlling external devices are described. A method may include receiving physiological data associated with a user from a wearable device, and identifying one or more physiological states, physical activities, or both, associated with the user based on the physiological data. Physiological states may include physiological states associated with waking up, falling asleep, anxiety, relaxation, and the like. The method may further include transmitting an instruction to one or more external devices based on the one or more physiological states, physical activities, or both, where the instruction is configured to selectively modify one or more operational parameters associated with the one or more external devices.