Automated Data Visualization System with Gesture and Voice Control
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Solution Overview
Problem
Existing data visualization techniques are time-consuming, lack accuracy due to human intervention, are expensive, and limited in their ability to recognize user actions such as hand gestures and voice commands, making them inaccessible and inefficient for real-time data modification and visualization of complex multidimensional data.
Innovation Solution
A system and method for automated data visualization that identifies data points and selects appropriate visual representations using machine learning, allowing real-time modification through user actions like hand gestures and voice commands, and is optimized for various display devices including smartphones and virtual reality devices, while being economical and efficient in storage allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of data points and selection of visual representations is used, then user control over visualization is maintained, but the process becomes time-consuming and less accurate
Solution Approach 1:
The system performs automated data visualization where the computational system itself identifies data points, determines data types, and selects appropriate visual representations without requiring manual user intervention for each step, thereby achieving both high accuracy and efficiency
Solution Approach 2:
The patent replaces manual mechanical operations (hand-based data point identification and visual selection) with automated computational processes including data analysis techniques, mapping tables, and rendering techniques to achieve faster and more accurate visualization
2Adaptability or versatility
If existing data visualization techniques are used, then basic visualization functionality is provided, but the system lacks capability to recognize user actions such as hand gestures and voice commands
Solution Approach 1:
The system integrates multiple input modalities including touch inputs, hand gestures, and voice commands into a single unified data visualization platform, allowing the same system to handle diverse user interaction types without requiring separate specialized systems
Solution Approach 2:
The patent introduces an action identification unit as an intermediary component that processes various user actions (gestures, voice, touch) and translates them into commands for the visualization engine, managing system complexity by creating a dedicated interface layer
3Ease of operation
If existing visualization systems are used, then standard display devices can be accessed, but the system is expensive and inaccessible to the people at large
Solution Approach 1:
The patent enables data visualization on standard, inexpensive display devices including smartphones and virtual reality devices by implementing optimized rendering techniques that do not require expensive specialized hardware, making the technology accessible to the general population
Solution Approach 2:
The system adapts its rendering parameters and visualization quality based on the capabilities of the display device being used, allowing high-quality visualization on both advanced and basic devices without requiring expensive hardware upgrades
Data Source
AI summary
A system and method for automated data visualization and modification of visualized data is disclosed. The present invention provides for identifying data points and data types associated with the selected data. Further, one or more visual representations for rendering the selected data are evaluated based on the identified data points and the data types. Yet further, the selected data is optimally visualized based on an identification of a display device type. The present invention further provides for evaluating a theme of visual representations using a real-time lighting information of the real world environment based on identification of the display device type. The selected data is visualized using the evaluated theme of visual representations and the evaluated one or more visual representations. Yet further, the present invention provides for identifying user actions and interpreting inputs from the identified user actions to update or modify visualized data.