Audio-Based Power Mode Transition Adjustment
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Solution Overview
Problem
Computing devices face challenges in extending battery life while maintaining user interaction, as existing methods often require users to manually interact with devices to prevent power mode transitions, leading to interruptions and a less desirable user experience.
Innovation Solution
A method that uses sensors and audio inputs to determine user interaction, allowing computing devices to adjust the time of power mode transitions without requiring manual input, thereby extending battery life without disrupting user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the computing device transitions to a second power mode to extend battery life, then power consumption is reduced, but user interaction may be disrupted
Solution Approach 1:
The system performs preliminary detection of user interaction intent through audio inputs before the power mode transition occurs. By detecting audio signals that indicate user interaction in advance, the system can postpone the power mode transition until after the interaction is complete, thereby extending battery life without disrupting the user experience.
Solution Approach 2:
The system continuously monitors audio inputs and uses this feedback to dynamically adjust the power mode transition timing. When audio detection indicates active user interaction, the system feedback-loop adjusts the transition time to occur after the interaction concludes, resolving the contradiction between power conservation and user interaction continuity.
2Ease of operation
If the device waits for manual user input to prevent power mode transition, then user interaction is maintained, but user experience is degraded due to interruptions
Solution Approach 1:
The system uses audio detection capabilities to automatically detect and respond to user interaction without requiring manual input. The audio input device serves the system itself by providing interaction detection, eliminating the need for users to manually prevent power mode transitions and thereby improving user experience while maintaining interaction continuity.
Solution Approach 2:
The system replaces manual mechanical interaction (buttons, switches) with acoustic field-based detection. By using audio inputs to detect user interaction intent, the system substitutes the mechanical input method with a more natural, non-intrusive acoustic sensing approach, improving both ease of operation and productivity.
3Duration of action of moving object
If the computing device uses audio detection to postpone power mode transition, then battery life is extended, but detection accuracy is required
Solution Approach 1:
The system adjusts detection parameters dynamically based on the operational context. By monitoring audio signal characteristics and changing detection sensitivity parameters according to the current state, the system achieves accurate user interaction detection without requiring excessively high precision that would consume additional processing power and reduce battery life.
Data Source
AI summary
Various aspects of this disclosure are directed to setting, by a computing device including a group of electronic components, the group including at least an audio input device, a first time that indicates when the computing device transitions from a first power mode to a second power mode. Operation of the electronic components in the first power mode may use a first amount of power. Operation of the electronic components in the second power mode may use a second amount of power that is less than the first amount of power. The computing device may receive an audio input at a second time prior to the computing device transitioning from the first power mode to the second power mode. Responsive to receiving the audio input, the computing device may adjust the first time that indicates when the computing device transitions from the first power mode to the second power mode.