Bag State Detection Using Proximity and Motion Sensors
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Solution Overview
Problem
Existing electronic devices lack the ability to accurately detect whether they are in a bag or outside of a bag, limiting the customization of power state transitions and impacting user experience, battery duration, and energy conservation.
Innovation Solution
The device utilizes proximity sensors and motion sensors to measure distance and motion, respectively, to determine if it is in a bag or outside of a bag, enabling precise detection of its state and adjusting power states accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device uses only proximity sensors to detect bag state, then the device structure is simpler, but the detection accuracy is insufficient
Solution Approach 1:
The patent combines proximity sensors and motion sensors into an integrated detection system. The proximity sensor detects distance to the bag interior surface, while the motion sensor detects device movement and orientation changes. By merging the data from both sensors, the system achieves high-accuracy bag state detection that neither sensor could provide alone, resolving the contradiction between detection accuracy and system complexity.
Solution Approach 2:
The processor acts as an intermediary that receives and integrates data from both proximity and motion sensors. It processes the combined information to determine bag state, transitioning the device between awake and sleep modes. This intermediary processing layer enables accurate detection while managing the complexity of having multiple sensor types.
2Use of energy by moving object
If the device transitions to sleep mode when in a bag, then energy consumption is reduced, but user experience may deteriorate due to premature wake-up
Solution Approach 1:
The system continuously monitors both proximity and motion sensor data, providing real-time feedback about the device's state. When the device is detected to be in a bag (proximity sensor detects close distance to bag interior), it transitions to sleep mode to save energy. When motion is detected indicating the user is holding or using the device, the system wakes up immediately, preventing premature wake-up issues and maintaining user experience.
Solution Approach 2:
The power state of the device is dynamically adjusted based on real-time sensor data. The system transitions between awake and sleep modes depending on the combination of proximity and motion conditions, enabling energy savings when appropriate while maintaining responsiveness when the user needs the device.
3Reliability
If the device uses multiple sensors for detection, then detection robustness is improved, but device complexity increases
Solution Approach 1:
The patent merges proximity sensor data (distance to bag interior) with motion sensor data (device movement and orientation) into a unified detection algorithm. This combination provides robust detection that accounts for various scenarios: device in bag, device held by user, device on surface. The merged approach improves reliability while the integrated processing architecture manages complexity efficiently.
Solution Approach 2:
The sensor system is designed with multi-functionality, where the same sensor suite serves multiple detection purposes: determining bag state, detecting user interaction, and triggering appropriate power state transitions. This universal approach improves detection robustness across different usage scenarios without proportionally increasing complexity.
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 allows for high-accuracy and robust detection of the device's location, enhancing user experience by improving power management and energy efficiency.
Implementation Method 1
distance measurements generated by at least one proximity sensor
Implementation Method 2
motion measurements generated by at least one motion sensor
Data Source
AI summary
The present disclosure is directed to a device configured to detect whether the device is in a bag or outside of the bag. The device determines whether the device is in or outside of the bag based on distance measurements generated by at least one proximity sensor and motion measurements generated by at least one motion sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or outside of the bag with high accuracy and robustness.