Layered Gesture Recognition for Remote Display Drawing
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Solution Overview
Problem
Existing apparatuses with touch panels require complex and numerous gesture operations, complicating usability and necessitating users to memorize multiple gestures for different functions, and often require users to physically interact with the device for drawing or writing.
Innovation Solution
The apparatus implements a three-layered gesture recognition system where gestures are categorized into distinct layers, allowing users to perform multiple operations with fewer gestures, such as drawing, marking, and erasing, by transitioning through modes like pointer, pen, marker, and eraser modes using simple hand motions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple gesture operations are implemented for different functions, then functionality and versatility are improved, but operation complexity and ease of use deteriorate
Solution Approach 1:
The patent segments gesture operations into three distinct layers (first layer: palm gestures, second layer: finger gestures, third layer: combined gestures) with different degrees of freedom. This segmentation allows the system to handle multiple functions through a structured hierarchy, where each layer manages specific types of gestures, thereby maintaining versatility while reducing the cognitive load on users by organizing complexity in a systematic way.
Solution Approach 2:
The patent introduces a layered dimension to gesture recognition, transitioning from traditional single-layer gesture systems to a three-layer hierarchical structure. This dimensional change allows the system to classify and process gestures at different levels of abstraction, enabling versatile functionality while simplifying user interaction by providing a structured approach to gesture selection and execution.
2Adaptability or versatility
If users can perform drawing and writing operations, then functionality is improved, but the need for physical interaction and device proximity increases
Solution Approach 1:
The patent uses optical copying through imaging devices (cameras) to capture the user's hand gestures and create a digital representation. This copying mechanism allows the system to recognize and process drawing and writing gestures remotely, eliminating the need for direct physical contact with the device while maintaining full drawing functionality. The imaging device captures the gesture information, which is then processed to generate the corresponding output.
3Measurement precision
If layered gesture recognition is implemented, then gesture classification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the gesture recognition system into three distinct processing layers, each handling specific types of gestures with defined degrees of freedom. This segmentation improves recognition accuracy by dedicating each layer to specific gesture categories, while the modular structure helps manage system complexity through organized, layered processing rather than a monolithic approach.
Solution Approach 2:
The patent implements dynamic transition between layers based on the recognized gesture type and context. The system can move between layers flexibly, activating the appropriate layer for the current gesture, which improves recognition accuracy by adapting to different gesture categories while managing complexity through dynamic rather than static layer activation.
Data Source
AI summary
An apparatus includes circuitry. The circuitry acquires information related to a shape of a pointing object from a sensor that acquires the information. The circuitry recognizes a gesture operation based on the acquired information. The gesture operation corresponds to a motion of the pointing object, and is recognizable in one of at least three layers in which a plurality of gesture operations are classified. When the circuitry recognizes a first gesture operation in a top layer of the at least three layers, the circuitry becomes ready to recognize a gesture operation classified in a second layer of the at least three layers. When the circuitry recognizes a second gesture operation in the second layer, the circuitry becomes ready to recognize a gesture operation classified in a third layer of the at least three layers.