3D Gesture Detection via Knuckle Tracking for Non-Tactile UI
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Solution Overview
Problem
Traditional two-dimensional user interfaces provide tactile feedback, but three-dimensional user interfaces lack tactile feedback, leading to a need for non-tactile interaction methods that compensate for this absence.
Innovation Solution
A mixed-modality user interface system that combines three-dimensional sensing with gaze detection, allowing users to perform pointing gestures without physical devices, using 3D maps and gaze direction to interact with on-screen items and provide visual feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If three-dimensional sensing is used for gesture recognition, then the need for physical input devices is reduced, but tactile feedback is lost
Solution Approach 1:
The system segments the user interface into multiple sensing modalities: 3D gesture detection for spatial interaction and gaze tracking for selection confirmation. This segmentation allows each modality to handle specific aspects of interaction, compensating for the lack of tactile feedback in 3D gestures through the complementary gaze-based selection mechanism.
Solution Approach 2:
The system implements visual feedback mechanisms to compensate for the absence of tactile feedback. Visual indicators show the system's interpretation of gestures and gaze direction, providing continuous feedback to the user about their interaction state without requiring physical contact.
2Adaptability or versatility
If multiple interaction modalities are combined, then user experience is enhanced, but system complexity increases
Solution Approach 1:
The system merges 3D gesture recognition and gaze tracking into a unified interaction framework. Both modalities are processed simultaneously within the same computational architecture, allowing them to work together seamlessly for gesture detection, tracking, and selection without requiring separate independent systems.
Solution Approach 2:
The underlying processing system is designed to be universal, handling both gesture data and gaze data through common algorithms and data structures. This multi-functional approach allows the system to process different interaction modalities through a single unified pipeline, reducing overall system complexity.
Data Source
AI summary
A method, comprising: receiving a first sequence of three-dimensional (3D) maps over time of at least a part of a hand of a user of a computerized system; segmenting the 3D maps in order to extract 3D coordinates of a first point located on a knuckle of the_finger on the hand and a second point at a tip of the finger; calculating a line segment that extends through the first point and the second point toward an area where one or more interactive items are presented by the computerized system; identifying a target point where the line segment intersects the area; and in response to a motion of the hand indicated by the 3D maps, engaging an interactive item presented in proximity to the target point.