Motion-Sensed Keyword Detection for Low-Power Voice Activation
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Solution Overview
Problem
Existing voice control systems in intelligent automated assistants require additional user inputs to activate voice detection, consume excessive power and processing resources when inactive, and are prone to false positives from ambient noise.
Innovation Solution
Utilizing motion sensors like accelerometers and gyroscopes to detect user mouth, face, and neck movements to recognize voice inputs, eliminating the need for audio detection and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If audio sensors continuously detect and process audio data to respond to voice inputs without additional activation inputs, then voice control responsiveness is improved, but power consumption and processing capacity increase
Solution Approach 1:
The patent replaces the audio-based voice detection system with a motion sensing system. Instead of using audio sensors to continuously monitor for voice commands, the system uses motion sensors (accelerometers, gyroscopes) to detect physical movements associated with speaking. This substitution eliminates the need for continuous audio processing while maintaining voice control functionality, thereby reducing power consumption and processing requirements.
Solution Approach 2:
The motion sensing system operates periodically rather than continuously. The motion sensors are activated to detect specific movement patterns when needed, rather than continuously monitoring for audio inputs. This periodic operation significantly reduces the processing capacity and power consumption required compared to continuous audio monitoring.
2Ease of operation
If audio sensors continuously detect and process audio data to respond to voice inputs without additional activation inputs, then voice control responsiveness is improved, but processing capacity increases
Solution Approach 1:
The patent replaces the audio-based voice detection system with a motion sensing system. Instead of using audio sensors to continuously monitor for voice commands, the system uses motion sensors (accelerometers, gyroscopes) to detect physical movements associated with speaking. This substitution eliminates the need for continuous audio processing while maintaining voice control functionality, thereby reducing power consumption and processing requirements.
3Adaptability or versatility
If audio sensors continuously detect audio data to respond to voice inputs, then voice control functionality is improved, but false positive responses increase due to ambient noise
Solution Approach 1:
The patent replaces the audio-based voice detection system with a motion sensing system. Instead of using audio sensors to continuously monitor for voice commands, the system uses motion sensors (accelerometers, gyroscopes) to detect physical movements associated with speaking. This substitution eliminates the need for continuous audio processing while maintaining voice control functionality, thereby reducing power consumption and processing requirements.
Solution Approach 2:
The motion data serves as an intermediary indicator of voice intent. Instead of directly detecting audio and risking false positives from ambient noise, the system uses motion patterns (mouth movement, head movement, etc.) as an intermediary signal to infer when a user intends to speak. This intermediary approach filters out false positives caused by ambient sounds while maintaining the ability to detect actual voice commands.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides intuitive and efficient voice control with reduced power usage and minimized false positives by matching motion data to reference words or phrases, enabling seamless task initiation.
Implementation Method 1
Motion sensors such as accelerometers and gyroscopes can detect these motions
Implementation Method 2
Motion sensors such as accelerometers and gyroscopes can detect these motions
Implementation Method 3
When a user speaks, the user's mouth, face, head, and neck move and vibrate
Data Source
AI summary
Systems and processes for operating an intelligent automated assistant are provided. In one embodiment, data is received from a motion sensor, for instance, recording the motion of a user as the user utters a spoken input. A determination is made whether a portion of the motion data matches reference data for a set of one or more words (e.g., a word or phrase). If so, a task associated with the one or more words is initiated in response.


