Biometric Lamp Control Using Radar-Based Getting-Up Detection
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Solution Overview
Problem
Existing sleep monitoring devices using millimeter wave radar have single functionality and low user experience, affecting comfort and safety.
Innovation Solution
A lamp control method based on biometric data using millimeter wave radar to detect half and full getting-up actions, adjusting lamp brightness accordingly, and integrating additional features like gesture recognition and voice activation for enhanced functionality and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sleep monitoring devices use only basic monitoring functions, then device complexity is reduced, but user experience and functionality are limited
Solution Approach 1:
The sleep monitoring device integrates multiple functions including sleep monitoring, gesture recognition, voice activation, and adaptive lighting control into a single system. The millimeter wave radar serves both sleep parameter detection and gesture recognition purposes, while the lamp provides both ambient lighting and adaptive lighting based on detected actions, demonstrating multi-functionality that enhances versatility without proportionally increasing complexity.
2Object-affected harmful factors
If the lamp is always on, then visibility and safety are improved, but energy consumption increases and user comfort decreases
Solution Approach 1:
The lamp's operating state is dynamically adjusted based on real-time detection of user actions. The system transitions the lamp between different states (off, dimmed, fully on) according to detected gestures or voice commands, rather than maintaining a fixed state. This dynamic adaptation ensures the lamp provides necessary illumination for safety and comfort while consuming minimal energy during periods when lighting is not needed.
3Measurement precision
If contact-based wearable devices are used for sleep monitoring, then measurement precision is improved, but user comfort and ease of operation deteriorate
Solution Approach 1:
The system replaces contact-based mechanical sensing (wearable devices requiring skin contact) with contactless millimeter wave radar sensing. The radar detects vital signs, gestures, and voice commands through electromagnetic wave reflection from the body, eliminating the need for physical contact while maintaining measurement capability. This substitution preserves measurement precision for sleep monitoring while dramatically improving user comfort by removing wearable constraints.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides adaptive lighting based on user actions, improving comfort and safety by reducing eye strain and minimizing accidents, while offering comprehensive sleep monitoring and scoring.
Implementation Method 1
obtaining biometric data generated by reflected waves of a millimeter wave radar
Implementation Method 2
obtaining a point cloud height of center of gravity of each point in point cloud azimuth data detected by a millimeter wave radar
Data Source
AI summary
This invention pertains to lamp control and sleep monitoring using biometric data. The method includes several steps: first, using millimeter wave radar to obtain the point cloud height of center of gravity for azimuth data points; next, evaluating whether the detected movement qualifies as a half getting-up action; subsequently determining if it is a full getting-up action; and finally, controlling the lamp accordingly—if a half getting-up action is detected, the lamp operates in a first state, and if a full getting-up action is detected, in a second state. This approach links lamp operation to the user's physical actions, enhancing functionality and user experience.