Media-Synced Lighting Control Using Nearest-User Profile Detection
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Solution Overview
Problem
Existing systems for controlling lighting devices to render light effects based on media content require manual user selection of profiles, which is cumbersome, especially in multi-user households, and automatic selection methods are inefficient and power-consuming.
Innovation Solution
A system that automatically selects a user profile by detecting the nearest user using short-range wireless signals from mobile devices, determining user preferences, and controlling lighting devices to render light effects based on media content and user preferences, with optional confirmation or adjustment through notifications or machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user selection of profiles is implemented, then user preferences can be accurately captured, but user operation becomes cumbersome especially in multi-user households
Solution Approach 1:
The system automatically detects users present in the environment and selects appropriate user profiles without requiring manual intervention. The processor detects mobile devices, identifies users, and automatically applies their preferences to lighting device control, eliminating the need for users to manually select profiles.
Solution Approach 2:
The patent replaces the manual mechanical interaction (users physically selecting profiles through an app interface) with an automatic electronic detection and selection system. The system uses wireless signal detection and processor-based user identification to automatically determine which profile to apply, substituting manual selection with automated electronic processes.
2Measurement precision
If continuous detection of users is performed to enable automatic profile selection, then user profile selection accuracy improves, but power consumption increases
Solution Approach 1:
The system performs user detection periodically or on-demand rather than continuously. The processor detects users at relevant moments (such as when lighting devices are activated or when content is being rendered) rather than maintaining constant detection, reducing power consumption while maintaining accurate user identification when needed.
3Adaptability or versatility
If multiple user profiles are stored and automatically selected, then personalization of light effects improves, but system complexity increases
Solution Approach 1:
The system uses a universal user detection mechanism that works across multiple profiles without requiring separate detection systems for each user. The same processor and wireless signal detection infrastructure serves all user profiles, allowing the system to handle multiple personalized profiles while avoiding proportional increases in hardware complexity.
Data Source
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AI summary
A system (1) for controlling one or more lighting devices (11-12) to render light effects determined based on media content, to accompany a rendering of the media content, is configured to detect whether one or more users (77, 78) are in an environment and if multiple users are detected to be in said environment, determine which user of the multiple users is nearest to the system based on shortrange wireless signals received from mobile devices (34, 35) of the multiple users and retrieve a user profile associated with the user nearest to the system. The user profile specifies user preferences. The system is further configured to determine the light effects based on the media content and the user preferences and control the one or more lighting devices to render the light effects.