Immersive Lighting Control via Gesture Sensors
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Solution Overview
Problem
Existing lighting control systems require users to focus on graphical user interfaces (GUIs) or pre-programmed sequences, limiting immersive experiences and user interaction.
Innovation Solution
A system that translates group behavior into control signals for lighting infrastructure using sensor data from multiple client devices, allowing users to control lighting without traditional inputs, enabling immersive experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional GUI controls are used to manipulate lighting infrastructure, then lighting control functionality is achieved, but user immersion and engagement are reduced due to the need to focus on the interface
Solution Approach 1:
The patent replaces mechanical interaction with GUI elements (touch screens, cursors, buttons) with natural physical gestures and movements. Users control lighting infrastructure through intuitive hand waves, arm movements, and body gestures that are captured by sensors, eliminating the need to look at or interact with a graphical interface while maintaining full lighting control functionality.
Solution Approach 2:
The patent introduces sensors and gesture recognition software as intermediaries between the user and the lighting infrastructure. These intermediaries translate natural human gestures into control commands for the lighting system, allowing users to manipulate lighting without directly interacting with a GUI while still achieving precise control.
2Extent of automation
If pre-programmed animation sequences are used to control lighting infrastructure, then automation is improved, but user interaction and adaptability are eliminated
Solution Approach 1:
The patent transforms static pre-programmed lighting sequences into dynamic, real-time responsive lighting control. The system continuously monitors user gestures and automatically adjusts lighting parameters on the fly, creating an automated system that adapts to user behavior rather than following fixed predetermined sequences.
Solution Approach 2:
The patent implements a feedback loop where sensors detect user gestures, the system processes this information, and the lighting infrastructure responds in real-time. This continuous feedback mechanism allows the automated system to adapt to user intentions and preferences, providing both automation and user interaction simultaneously.
3Productivity
If sensor data from multiple client devices is processed to interpret group behavior, then immersive lighting control is achieved, but system complexity increases
Solution Approach 1:
The patent combines data from multiple client devices and sensors into a unified gesture recognition system. By merging sensor inputs, user profiles, and environmental data into a single processing pipeline, the system achieves sophisticated group behavior interpretation without requiring each individual component to be overly complex.
Solution Approach 2:
The patent creates a universal control system that can interpret various types of gestures from multiple devices using the same processing framework. The gesture recognition software is designed to handle diverse input sources and gesture types through a single multi-functional system, reducing overall complexity while maintaining immersive lighting control capabilities.
Data Source
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AI summary
A system and methods are provided for an immersive group lighting interaction. A lighting infrastructure includes a plurality of independently controllable lighting devices. According to an embodiment, users may be granted access to control at least a portion of the lighting infrastructure. Rather than requiring the user to manually control the lighting infrastructure using, for example, the touch screen, a sensor associated with the user's mobile device may track the user. The sensor data may be classified and then mapped to a corresponding control instruction to control the lighting infrastructure. In another embodiment, a computing system receives sensor classifications from multiple users. If a threshold amount of a type of classification is received, the computing system controls a lighting infrastructure according to that type of classification.