Bimodal Gesture Recognition for Menu Navigation
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Solution Overview
Problem
Conventional techniques for accessing functions on computing devices become inefficient as the number of available functions increases, leading to user frustration and decreased utilization due to complex menu navigation.
Innovation Solution
The implementation of gesture techniques that utilize bimodal inputs, such as touch and stylus inputs, to recognize and execute various gestures like copy, staple, cut, punch-out, rip, edge, stamp, brush, carbon-copy, fill, cross-reference, and link gestures, allowing for intuitive and efficient operation of computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional menu navigation techniques are used to access device functions, then the device can provide a wide range of functions, but the complexity of navigation increases and user frustration increases
Solution Approach 1:
The patent replaces traditional mechanical menu navigation (clicking through hierarchical menus) with gesture-based input recognition. The system detects gestures from input devices and directly maps them to functions, eliminating the need for complex menu traversal while maintaining access to diverse device functions.
Solution Approach 2:
The patent introduces a gesture recognition system as an intermediary layer between the user and device functions. This intermediary interprets physical gestures and translates them into corresponding device operations, providing a more intuitive path to functions without requiring users to navigate complex menu structures.
2Adaptability or versatility
If traditional menu navigation techniques are used to access device functions, then the device can provide a wide range of functions, but user utilization decreases due to frustration
Solution Approach 1:
The patent replaces cumbersome menu navigation with natural gesture-based input. Users can directly access functions through intuitive gestures recognized by the system, significantly improving ease of operation and user utilization while maintaining access to a wide range of device functions.
Solution Approach 2:
The gesture recognition system automatically interprets user intentions from physical gestures and executes corresponding functions without requiring users to manually navigate through menus. This self-service approach reduces friction and improves user engagement with device functions.
3Ease of operation
If gesture recognition techniques are implemented to improve user interaction, then ease of operation increases, but device complexity increases
Solution Approach 1:
The patent implements a universal gesture recognition system that handles multiple gesture types and input devices through a single integrated framework. This multi-functional approach manages the inherent complexity by providing a unified interface that can recognize and respond to various gestures without requiring separate processing paths for each gesture type.
Data Source
AI summary
Techniques involving gestures and other functionality are described. In one or more implementations, the techniques describe gestures that are usable to provide inputs to a computing device. A variety of different gestures are contemplated, including bimodal gestures (e.g., using more than one type of input) and single modal gestures. Additionally, the gesture techniques may be configured to leverage these different input types to increase the amount of gestures that are made available to initiate operations of a computing device.