Voice Control Context Detection for Electronic Devices
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Solution Overview
Problem
Current voice-controlled electronic devices have a fragmented ecosystem, requiring external applications for voice interactions and lacking a reliable method to detect intended voice commands, leading to issues like accidental microphone activation during conference calls.
Innovation Solution
A system that uses context data from sensors and secondary devices to determine the user's intent and location on a display, allowing voice commands to actuate control points on the device, and dynamically adjust these control points based on user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice control is implemented using external applications, then voice interaction capability is provided, but device complexity and ecosystem fragmentation increase
Solution Approach 1:
The patent merges voice recognition functionality directly into the electronic device's operating system, combining multiple previously separate functions (voice recognition, context detection, display control) into a unified integrated system. This eliminates the need for multiple external applications and reduces ecosystem fragmentation while maintaining comprehensive voice interaction capability.
2Measurement precision
If microphone is always active to detect voice commands, then voice command detection capability is improved, but false triggers and accidental activation increase
Solution Approach 1:
The system performs preliminary detection of user intent through context data analysis (eye tracking, device proximity, active application state) before activating voice command processing. This preliminary action filters out false triggers by ensuring the user actually intends to provide a voice command, while maintaining high detection capability when intent is confirmed.
Solution Approach 2:
The system continuously monitors context data and provides feedback loops to adjust microphone activation state. By analyzing real-time context information (user gaze direction, device usage state, environmental conditions), the system dynamically adjusts when the microphone should be active, reducing false triggers while maintaining reliable voice command detection.
3Reliability
If context data analysis is performed to determine user intent, then false triggers are reduced, but processing time and computational resources increase
Solution Approach 1:
The system performs partial context analysis by focusing on the most relevant context data sources based on current device state. For example, when a specific application is active, the system prioritizes analyzing context data relevant to that application, performing only the necessary level of analysis rather than comprehensive processing of all possible context sources, thus reducing processing time while maintaining accurate user intent detection.
Data Source
AI summary
A system is provided for operating a program on a primary electronic device that can include a primary electronic device. The primary electronic device can have a memory to store executable instructions and one or more processors, when implementing the executable instructions, to obtain context data related to a user of the primary electronic device. The one or more processors can also be configured to determine a first location on a display of the primary electronic device based on the context data, determine a voice command related to the first location on the display, and actuate a control point at the first location based on the voice command.