Gesture Interpretation for 3D Virtual Spaces via ML Prediction
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Solution Overview
Problem
Conventional mobile device platforms struggle with interpreting precise user interface gestures for applications like drawing, leading to user frustration due to imprecision and the need for complex menu options, which are not intuitive or easily navigable on touchscreen interfaces.
Innovation Solution
Incorporating a machine learning model to predict the intended design from imprecise gesture inputs, allowing for the translation of rough sketches into precise user interface inputs, thereby enabling more natural and intuitive interactions in three-dimensional virtual spaces without the need for extensive menu options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional touchscreen interfaces are used for drawing applications, then the device portability and ease of use are maintained, but the precision of gesture inputs deteriorates making it difficult to execute precise drawing operations
Solution Approach 1:
The patent introduces an intermediary processing layer between the user's gesture input and the drawing application. This layer captures rough gesture inputs, processes them through algorithms to determine intended precise locations and actions, and translates them into accurate commands. The intermediary system includes gesture recognition software that analyzes touch patterns, duration, and movement to infer precise user intent without requiring precise manual control
Solution Approach 2:
The system changes the parameters of gesture recognition by accepting a broader range of input variations and mapping them to precise outputs. Instead of requiring exact touch coordinates, the system processes parameters like gesture duration, movement trajectory, and pressure variations to determine intended actions. This parameter transformation allows imprecise physical gestures to be converted into precise digital commands
2Manufacturing precision
If complex menu options are added to mobile drawing applications to achieve precision, then the functionality is improved, but the interface complexity and ease of navigation deteriorate
Solution Approach 1:
The patent extracts the complexity from the user interface and relocates it to the background processing system. Instead of presenting users with complex menus and tools to achieve precision, the system automatically handles the complex processing of gesture inputs behind the scenes. Users simply perform natural gestures while the extracted complexity of interpretation and precision mapping is managed by the system's gesture recognition algorithms
Solution Approach 2:
The system provides self-service by automatically interpreting and correcting gesture inputs without requiring user intervention through complex menus. The gesture recognition system autonomously analyzes rough inputs, determines intended precise actions, and executes them directly. This self-service mechanism eliminates the need for users to navigate complex toolsets or adjust precision settings manually
3Ease of operation
If natural gesture inputs are supported in drawing applications, then the ease of operation is improved, but the precision and accuracy of the drawing output deteriorates
Solution Approach 1:
The system performs preliminary action by pre-processing gesture inputs through recognition algorithms before executing drawing commands. The gesture recognition system analyzes the rough natural gesture in advance, determines the intended precise location and action, and prepares the corrected commands beforehand. This preliminary processing step bridges the gap between natural imprecise gestures and precise drawing output without requiring users to learn specialized gesture techniques
Data Source
AI summary
A user computing device displays a three-dimensional virtual space via a user interface. The user computing device detects a gesture input at a location of the user interface. The user computing device translates the gesture input into a user interface input by predicting, based on the gesture input, a design intended by the gesture input and mapping, based on the design and the location of the gesture input on the user interface, the design to the user interface to generate the user interface input. The user computing device executes, in response to the user interface input, an operation to add an object in the three dimensional virtual space. The user computing device renders an updated three dimensional space displaying the object.