Gesture Interface Robot Virtual Puzzle Cell Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current gesture systems require large, potentially injurious movements, leading to accidents and muscle strain, and are inefficient in controlling complex computer actions, with many unnecessary devices causing clutter and resource waste, particularly in zero-gravity environments like space.
Innovation Solution
The intelligent gesture interface robot (GIR) uses a puzzle cell mapping method with a video vision sensor to recognize user gestures, allowing comfortable hand movements to select virtual keys on a projected keyboard, eliminating the need for physical devices and supporting complex machine control with reduced muscle exertion and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If large gesture actions are used to control computers and machines, then the control range is extended, but user injury and muscle strain occur
Solution Approach 1:
The patent replaces physical mechanical gesture systems with a video vision-based gesture recognition system. The GIR uses a video camera to capture hand movements and processes these visually, substituting the need for large physical gestures with small, controlled hand movements within a defined work zone, thereby eliminating injury risks while maintaining control versatility
Solution Approach 2:
The patent introduces a virtual three-dimensional work zone mapped to a two-dimensional video frame, creating a puzzle cell mapping system that maps hand positions in 3D space to control commands. This dimensional transformation allows small hand movements to be amplified into comprehensive control actions across multiple devices
2Adaptability or versatility
If multiple physical control devices are used to control complex computer actions, then the control functions are comprehensive, but device complexity and clutter increase
Solution Approach 1:
The patent creates a universal gesture interface that can control multiple different devices and functions through a single standardized system. The puzzle cell mapping work zone provides a consistent control paradigm that works across keyboards, mice, remote controls, and other interfaces, eliminating the need for device-specific controllers and reducing overall system complexity
Solution Approach 2:
The patent merges multiple control device functions into a single unified gesture recognition system. By combining video capture, position tracking, and command generation into one integrated system, it consolidates what would otherwise require multiple separate physical devices into a single comprehensive control solution
3Ease of operation
If physical control interfaces are installed on equipment and machines, then the control accessibility is improved, but resource consumption and pollution increase
Solution Approach 1:
The patent creates a virtual copy of physical control interfaces in the digital realm. Instead of manufacturing and installing physical keyboards, mice, and remote controls on each device, the system generates software-based virtual interfaces that are accessed through gesture recognition, eliminating material consumption while maintaining operational accessibility
Solution Approach 2:
The system allows users to interact with control interfaces that adapt to their natural hand movements and positions. The virtual work zone automatically adjusts and responds to user gestures without requiring physical installation or configuration, making the system self-adapting and eliminating the need for physical interface deployment
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 GIR enables safe, efficient control of computers and robots with reduced physical effort, minimizing resource consumption and clutter, and is particularly beneficial in zero-gravity environments by using simple gestures to control complex systems without the need for physical interfaces.
Implementation Method 1
a video vision sensor to read user hand gestures
Data Source
AI summary
A gesture interface robot (GIR) automatically measures a work zone to establish virtual puzzle cells located in a user gesture comfortable area. The GIR allows the user to easily move hands to press selected virtual keys so as to prevent injury. The GIR draws virtual keyboard images that display commands on virtual puzzle cells. The GIR uses video vision sensing to detect user's hand location on the virtual keyboard images. Special unique gesture hand sings are designed for enhancing hand control virtual key selections. A push-hand-z-dimensional distant is divided into 3 selectable zones. A real-time display highlights a selected key graphic image to be visually seen by the user. Using a UIRT cable to send IR signal to a remote control computer. The GIR instantly generates a virtual puzzle cell keyboard or controller that the user selected. The GIR introduces a new gesture interface method, a touch screen mouse combined with puzzle cell virtual keys in sandwich layers gesture zones and a method for operating computer keys and mouse operations.