Home Appliance Voice Control Using Generative AI Command Mapping
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Solution Overview
Problem
Natural language commands uttered by users vary, making it difficult for home appliances to accurately interpret and translate these commands into actionable controls, particularly due to differences in command input habits and usage environments.
Innovation Solution
A method and device that utilize a generative AI module to determine the category of an input command, generate a control command, and control a home appliance using a generated result, especially when the command does not correspond to predefined controls, by employing a database to find similar sample texts and guide the AI module for accurate interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If natural language command recognition is used, then user flexibility and ease of operation are improved, but command interpretation accuracy deteriorates due to variations in user speech patterns and environments
Solution Approach 1:
The system performs preliminary actions by collecting multiple sample texts that represent various ways users might express the same command intent. These samples are stored in advance and used to train the generative AI model, enabling it to recognize and interpret diverse natural language inputs accurately without requiring users to learn specific command formats.
Solution Approach 2:
A generative AI module serves as an intermediary between the user's natural language input and the home appliance's control system. This AI intermediary translates varied human speech patterns into standardized control commands, bridging the gap between flexible user input and precise system interpretation.
2Measurement precision
If predefined commands are used, then command interpretation accuracy is improved, but adaptability to new usage scenarios and environments deteriorates
Solution Approach 1:
The system transitions from static predefined commands to a dynamic generative AI-based recognition system. The AI model can continuously adapt to new command patterns, user speech variations, and usage environments by learning from sample texts, enabling both high accuracy and flexibility without requiring extensive reprogramming.
Solution Approach 2:
The generative AI module provides universal command recognition capability that handles multiple types of inputs (voice, text, different accents, varying phrasings) through a single system. This multi-functional approach replaces numerous predefined command sets with one adaptable recognition engine that works across diverse scenarios.
3Measurement precision
If generative AI module is introduced, then command interpretation flexibility and accuracy are improved, but device complexity increases
Solution Approach 1:
The system employs a self-service approach where the generative AI model is trained offline using collected sample texts and stored in a database. During operation, the AI model automatically processes incoming commands without requiring manual configuration or complex real-time training, reducing operational complexity while maintaining high recognition accuracy.
Data Source
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AI summary
The present invention relates to a method of controlling a home appliance based on a command and a device for implementing the same, and a method of controlling a home appliance based on a command includes a first operation of determining, by a electronic device, whether an input command corresponds to direct control, a second operation of inputting, by the electronic device, the command, guide including category of the command, sample texts having similarity greater than or equal to a predetermined reference value with the input command extracted from a database to a generative artificial intelligence (AI) module when the input command does not correspond to the direct control in the first operation, and a third operation of generating, by the electronic device, a control command using the generated result by the generative AI module and the generated result includes category of the input command.