Universal Application Control Using Voice, Gestures, and UI Tokenization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current voice control systems require specialized programming and predefined commands, limiting their compatibility and practical utility across diverse hardware environments, and they struggle to provide seamless, hands-free control of computing devices without modifying underlying applications.
Innovation Solution
A system integrating natural voice commands, motion-based gesture recognition, and a tokenizer with a large language model (LLM) for on-device processing, enabling universal application control and intelligent workflows without requiring specialized programming or predefined knowledge, by scraping application interfaces to identify actionable UI elements and generating events based on user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice control systems use specialized programming and predefined commands, then control functionality is achieved, but compatibility and practical utility across diverse hardware environments deteriorate
Solution Approach 1:
The system uses a large language model that can process and interpret natural language across multiple applications and devices without requiring application-specific programming. The LLM serves as a universal interface that adapts to different hardware environments and application types, enabling one system to control diverse devices through natural language rather than specialized commands
Solution Approach 2:
The patent introduces an intermediary layer consisting of the LLM and tokenizer that sits between the user's natural language input and the application-specific control logic. This intermediary translates human language into actionable commands without requiring the underlying applications to be modified or programmed for voice control, thus bridging the gap between natural language and device-specific operations
2Ease of operation
If voice control systems require predefined commands, then control accuracy is improved, but ease of operation and natural interaction deteriorate
Solution Approach 1:
The system changes the parameter of command interpretation from rigid predefined keywords to flexible natural language processing. The LLM processes varied natural language inputs and maps them to appropriate control actions, maintaining reliability by understanding intent rather than requiring exact command matches, thus enabling more natural hands-free operation
3Adaptability or versatility
If application interfaces are modified to enable voice control, then control functionality is achieved, but ease of deployment and universality deteriorate
Solution Approach 1:
Instead of modifying applications to accept voice commands, the system inverts the approach by having the LLM generate and inject the appropriate control events directly into the application interfaces. This allows existing applications to be controlled through natural language without any modification to the applications themselves, achieving universal control while maintaining ease of deployment
Data Source
AI summary
The disclosure describes techniques for integrating natural voice command and motion-based gesture recognition, a tokenizer, and a LLM to enable hands-free control of computing devices without requiring specialized programming. In some implementations, a method includes: obtaining data associated with input by a user at an application interface indicating an intent to control the application interface; tokenizing, using a tokenizer, the data associated with the input by the user to create tokenized user input data; obtaining tokenized UI element data corresponding to a tokenized record of actionable UI elements associated with the application interface; generating, using a LLM, based at least on the tokenized UI element data and the tokenized user input data, events to inject into the application interface to control one or more of the actionable UI elements; injecting the events into the application interface; and providing feedback to the user in accordance with injecting the events.