Pick-up Detection Using Multi-Sensor Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices lack efficient methods to detect when they are being picked up by a user, limiting their ability to preemptively transition between power states and optimize battery life, energy conservation, and user experience.
Innovation Solution
The device employs a multi-sensor system, including an accelerometer, to detect pick-up states by monitoring stationary conditions, orientations, and motion, using distinct algorithms for different operation modes to adjust power states accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the device uses a single algorithm to detect pick-up state, then the device complexity is reduced, but the measurement precision of pick-up detection deteriorates across different operation modes
Solution Approach 1:
The patent divides the pick-up detection function into multiple specialized algorithms, each optimized for specific operation modes (clamshell mode algorithm for modes 1-3, closed mode algorithm for modes 4-5). This segmentation allows each algorithm to focus on detecting pick-up states in its designated operation mode range, improving overall detection accuracy without requiring a single complex algorithm to handle all modes equally well.
2Duration of action of moving object
If the device transitions between power states based on user interaction, then the user experience is maintained, but the battery life and energy conservation are reduced
Solution Approach 1:
The system performs preliminary detection of pick-up states using accelerometer and orientation sensor data before actual user interaction occurs. By detecting when the device is lifted from a surface in advance, the system can proactively transition from low-power states (hibernate/sleep) to active states, ensuring the device is ready for use without requiring the user to manually wake it, thereby extending battery life while maintaining responsiveness.
Solution Approach 2:
The device autonomously monitors its own state through sensors and automatically transitions between power states based on detected pick-up events. This self-service capability eliminates the need for user intervention to wake the device, allowing the system to manage its own power consumption efficiently while remaining ready for use when picked up.
3Measurement precision
If the device monitors multiple sensors and parameters continuously, then the pick-up state detection accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system implements periodic sampling of sensor data rather than continuous monitoring. The accelerometer and orientation sensors are checked at intervals to detect changes in device state that indicate a pick-up event. This periodic approach maintains adequate detection accuracy by capturing key state transitions while significantly reducing the energy consumption compared to continuous high-frequency sampling.
Solution Approach 2:
The system uses an intermediary processing layer that evaluates sensor data and determines whether a pick-up state has occurred before triggering power state transitions. This intermediary logic analyzes the combined information from accelerometer and orientation sensors, filtering out false positives and reducing unnecessary sensor polling, thereby maintaining detection accuracy while optimizing energy usage.
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 enables the device to accurately detect pick-up states, allowing for seamless transitions between power states, enhancing battery life, energy conservation, and improving user experience by reducing reliance on user interaction.
Implementation Method 1
a first portion including an accelerometer configured to measure accelerations along a first axis, a second axis transverse to the first axis, and a third axis transverse to the first axis and the second axis
Data Source
AI summary
The present disclosure is directed to pick-up state detection for an electronic device, such as a laptop. In a pick-up state, the device is picked or lifted up from a surface, such as a table. A power state of the device is adjusted in response to detecting the pick-up state. For example, the device is in a hibernate state while set on the table, and is switched to a working state in response to detecting the pick-up state.