Dexterous Gesture Control System Using Segmented Sensor Fusion
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Solution Overview
Problem
Current natural input and control systems are imprecise and fail to personalize user experiences based on fine motor movements or dexterous gestures, as they cannot accurately detect and interpret such movements for precise control inputs.
Innovation Solution
A system comprising a sensor and processor that detects dexterous gestures within a defined gesture zone, generating signals to adjust user interface parameters and control actions, allowing for personalized user experiences by recognizing and responding to fine motor movements and gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wide-angle cameras are used to detect gross movements for control inputs, then the system can interpret basic user movements, but the system becomes imprecise and cannot detect fine motor movements or dexterous gestures
Solution Approach 1:
The patent segments the gesture detection task into two distinct parts: coarse gesture detection using wide-angle cameras and fine motor movement detection using depth sensors. This segmentation allows each sensor type to operate in its optimal detection range, with the depth sensor capturing precise hand and finger movements while the camera handles broader body movements.
Solution Approach 2:
The patent merges multiple sensor types (wide-angle cameras and depth sensors) into a unified control system that processes both coarse and fine gestures simultaneously. The processor integrates data from both sensors to provide comprehensive gesture recognition, combining the strengths of each sensor type to overcome their individual limitations.
2Measurement precision
If the system requires large scale movements for control inputs, then detection is easier, but fine motor movements and dexterous gestures cannot be detected
Solution Approach 1:
The depth sensor acts as an intermediary device that bridges the gap between wide-angle camera detection and fine motor movement detection. It captures detailed spatial information about hand and finger positions that neither wide-angle cameras alone nor traditional input devices can obtain, enabling precise detection of dexterous gestures.
Solution Approach 2:
The patent replaces traditional mechanical input devices (like mice and keyboards) with a gesture-based control system using depth sensors. This substitution eliminates the need for physical contact with input devices and enables natural, intuitive control through hand and finger movements in three-dimensional space.
3Adaptability or versatility
If current control systems are used, then basic control functions are available, but automatic personalization based on user preferences and behaviors cannot be achieved
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor user gestures and behaviors, analyze patterns, and automatically adjust control parameters and user interface configurations. The processor uses detected gesture data to infer user preferences and modify the system behavior accordingly, creating a personalized user experience that adapts over time.
Solution Approach 2:
The system provides self-service personalization by automatically analyzing user behavior patterns and configuring optimal control settings without requiring explicit user input. The gesture detection and analysis system enables the system to learn and adapt to individual user preferences autonomously, reducing the need for manual configuration.
Data Source
AI summary
System and methods for controlling a user experience are described. In an aspect, an interface can comprise an interface device for rendering content to a user, a sensor having a gesture zone associated therewith configured to detect a dexterous gesture of a user within the gesture zone and generate a sensor signal representing the dexterous gesture. A processor may be provided in communication with the sensor and the interface device. The processor receives the sensor signal, analyzes the sensor signal to determine a control action associated with the detected dexterous gesture of the user, and configures the user interface based upon the determined control action of the user.