Power Mode Transition for Activity Detection
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Solution Overview
Problem
Mobile computing devices face challenges in accurately determining user activity transitions while conserving battery life, as limited accelerometer data collection can lead to reduced accuracy and missed activity transitions due to infrequent data collection.
Innovation Solution
A method where a mobile computing device transitions between power modes based on motion data, using a low-power motion module to detect changes in angle relative to gravity, triggering a processor to switch to a higher power mode for accurate activity determination only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accelerometer data is collected frequently and continuously, then activity detection accuracy is improved, but power consumption increases
Solution Approach 1:
The system segments the activity detection process into two distinct stages: (1) a low-power screening stage using a motion module to detect angle changes exceeding a threshold, and (2) a high-accuracy analysis stage using the processor only when triggered. This segmentation allows the system to maintain high detection accuracy while minimizing power consumption by keeping the processor inactive during low-risk periods.
Solution Approach 2:
The motion module performs preliminary screening of motion data continuously at low power consumption, identifying potential activity transitions by detecting angle changes that exceed a predetermined threshold. This preliminary action filters out normal movements, allowing the processor to focus only on significant events, thereby resolving the contradiction between continuous monitoring accuracy and power consumption.
2Use of energy by moving object
If accelerometer data is collected at periodic intervals to conserve power, then power consumption is reduced, but activity transitions may be missed due to infrequent collection
Solution Approach 1:
The system dynamically adjusts its monitoring strategy based on motion characteristics. The motion module continuously monitors angle changes at low power, and when a significant change exceeds the threshold, the system dynamically transitions to high-power processor mode for accurate activity determination. This dynamic approach ensures reliable detection of activity transitions while minimizing overall power consumption compared to continuous high-power monitoring.
3Measurement precision
If the processor operates continuously in high-power mode, then activity determination accuracy is improved, but battery life is reduced
Solution Approach 1:
The processor operates in periodic bursts rather than continuously. The motion module screens for significant angle changes and triggers processor activation only when necessary. This periodic high-power operation maintains activity determination accuracy for significant events while extending battery life by keeping the processor in low-power or sleep modes during periods when activity transitions are unlikely.
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
This approach reduces power consumption while enhancing the accuracy and speed of activity detection, allowing for faster response times and improved activity classification by activating the processor only when significant changes occur.
Implementation Method 1
determining, by a motion module of the mobile computing device and based on second motion data generated by the motion sensor, that a change in an angle of the mobile computing device relative to gravity satisfies a threshold amount of change
Data Source
AI summary
In one example, a method includes determining, by a processor operating in a first power mode and based on first motion data, a first activity of a user, transitioning from operating in the first power mode to operating in a second power mode, wherein the processor consumes less power while operating in the second power mode than in the first power mode, responsive to determining, while the processor is operating in the second power mode and based on second motion data, that a change in an angle relative to gravity satisfies a threshold, transitioning from operating in the second power mode to operating in the first power mode, determining, by the processor and based on second motion data, a second activity of the user, and, responsive to determining that the second activity is different from the first activity, performing an action.