Handheld Finger Detection for Detailed VR Gesture Simulation
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Solution Overview
Problem
Current simulated environments, such as virtual and augmented reality systems, are limited in their ability to represent delicate and varied hand gestures, typically only simulating a wide-opened palm or a clenched fist without accurately depicting finger movements.
Innovation Solution
A system comprising a hand-held controller with finger detectors and a computing application that retrieves finger positions and spatial vectors to illustrate simulated hand gestures, allowing for more complex and adaptive hand gesture representation in virtual and augmented reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hand held controllers with physical buttons are used to detect hand gestures, then the system can simulate basic hand positions (open palm or clenched fist), but the variety and delicacy of hand gesture representation is limited
Solution Approach 1:
The controller surface is divided into multiple detection zones (first detection zone, second detection zone, third detection zone) that can independently detect finger positions. This segmentation allows the system to recognize various hand gestures by detecting which zones are activated, enabling delicate palm and finger gesture representation without complex mechanical structures.
Solution Approach 2:
The patent replaces traditional mechanical buttons with touch-sensitive detection zones that can sense finger contact and proximity. This substitution of mechanical detection with electronic sensing fields enables more nuanced gesture detection while simplifying the physical controller structure, allowing for versatile hand gesture representation.
2Measurement precision
If simple button triggers are used in hand held controllers, then the device complexity is low, but the measurement precision of finger positions is insufficient
Solution Approach 1:
The patent introduces an intermediary computational layer that processes detection zone activation patterns to infer precise finger positions and gestures. The computing application analyzes which detection zones are triggered and combines this information with spatial vector data to accurately determine hand gestures, achieving high measurement precision without requiring complex individual sensors for each finger.
Solution Approach 2:
The detection zones serve multiple functions: they detect direct finger contact, sense finger proximity, and provide spatial information about hand orientation. This multi-functionality allows the simple detection zones to achieve high measurement precision for various finger positions without requiring specialized sensors for each detection task.
3Adaptability or versatility
If multiple detection zones are added to the hand held controller to improve gesture detection, then the hand gesture representation becomes more versatile, but the device complexity increases
Solution Approach 1:
The patent merges multiple detection functions into integrated detection zones that can sense different types of finger interactions (contact, proximity, orientation) within each zone. By combining these detection capabilities into unified zones rather than separate sensors for each function, the system achieves versatile gesture detection while controlling the overall device complexity.
Data Source
AI summary
Present disclosure relates to a system for detecting hand gesture and a method thereof. The system comprises a hand-held controller and a computing application. The hand-held controller includes a plurality of finger detectors. The finger detectors are configured to obtain finger positions. The computing application, executed by a processor, is configured to retrieve a spatial vector of the hand-held controller. The computing application is also configured to retrieve the finger positions from the hand-held controller. The spatial vector of the hand-held controller and the finger positions are provided to illustrate a simulated hand gesture.