Gesture Load Control Using Motion Capture and Scene Programming
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Solution Overview
Problem
Current load control systems require users to manage multiple devices and have limited control due to predefined interfaces and limited instructions, making them inconvenient and not commercially viable, especially with the challenges of developing gesture-based control systems.
Innovation Solution
A load control system that uses gesture-based control devices to identify user gestures through motion capture technology, allowing users to control electrical loads without remote controls by analyzing images or videos to determine skeletal outlines and associate gestures with specific control instructions for load control devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional load control systems use multiple devices with predefined interfaces, then control functionality is provided, but user convenience deteriorates and system complexity increases
Solution Approach 1:
The patent combines multiple control functions into a single gesture-based control device. The system integrates device identification, gesture recognition, and control instruction generation into one unified device, eliminating the need for multiple separate control devices and predefined interfaces, thereby improving user convenience while reducing system complexity
Solution Approach 2:
The gesture-based control device performs multiple functions: it identifies different controllable devices, recognizes various gestures, generates appropriate control instructions, and communicates with different types of loads. This multi-functional approach replaces multiple specialized control devices with a single universal controller, reducing the number of devices users must manage
2Ease of operation
If gesture-based control is implemented without proper identification methods, then user convenience improves, but control precision deteriorates
Solution Approach 1:
The system performs preliminary device identification before gesture recognition. The control device first identifies which controllable device the user intends to control, then recognizes the gesture to determine the control action. This sequential approach ensures that gestures are interpreted in the correct context, maintaining both intuitive control and recognition accuracy
Solution Approach 2:
The system uses an intermediary identification step between the user's physical gesture and the final control command. The gesture-based control device acts as a mediator that translates physical gestures into digital control instructions, ensuring accurate interpretation of user intent while maintaining intuitive interaction
3Adaptability or versatility
If traditional control devices with predefined interfaces are used, then control functionality is provided, but adaptability deteriorates
Solution Approach 1:
The system transitions from static predefined interfaces to dynamic gesture-based control. The control device adapts to different users and situations by recognizing various gestures and generating appropriate control instructions in real-time, providing flexible adaptability without requiring complex predefined interfaces or programming
Data Source
AI summary
A load control system may include load control devices for controlling an amount of power provided to an electrical load. The load control devices may be capable of controlling the amount of power provided to the electrical load based on control instructions received from a gesture-based control device. The gesture-based control device may identify gestures performed by a user for controlling a load control device and provide control instructions to the load control device based on the identified gestures. The gestures may be identified based on images received from a motion capture device. A gesture may be associated with a scene that includes a configuration of one or more load control devices in a load control system. The user may perform one or more gestures to program the gesture-based control device to identify a gesture.