Wireless Identifier Correlation for Accurate Device Mode Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing computing devices face reliability issues in determining user activities due to inconsistent signals from sensors, leading to incorrect mode switching, such as switching to driving mode during meetings or failing to switch during traffic stops.
Innovation Solution
A mode detection application that correlates a wireless device's identifier with specific activities based on multiple instances of detection, using sensor data like acceleration and GPS, to accurately determine the device mode and switch settings accordingly, without requiring pairing with the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensor signals are used to determine user activities, then the device can automatically detect activities like running or walking, but the detection reliability deteriorates due to inconsistent sensor signals causing incorrect mode determination
Solution Approach 1:
The patent introduces wireless device identifiers (from Bluetooth, Wi-Fi, or other wireless devices) as intermediary indicators to infer user activities. Instead of relying directly on unreliable sensor signals, the system detects the presence or absence of specific wireless devices to determine activities (e.g., presence of car Bluetooth indicates driving, absence of personal devices indicates meeting mode), thereby improving detection reliability while maintaining automation
Solution Approach 2:
The patent replaces the mechanical/sensor-based detection system with a wireless communication-based detection system. By substituting physical sensor signals with wireless device identifier detection, the system achieves more reliable activity recognition since wireless device presence/absence provides more consistent and contextually accurate information about user activities
2Productivity
If sensor-based activity detection is implemented, then the device can switch modes automatically, but false mode switches occur due to unreliable sensor signals
Solution Approach 1:
Wireless device identifiers serve as intermediary evidence for determining activities that warrant mode switching. The system correlates specific wireless device patterns with specific activities (e.g., detecting car Bluetooth identifier correlates with driving activity), providing more accurate basis for mode switching decisions and reducing false switches while maintaining efficient automatic operation
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring wireless device identifiers and correlating them with detected activities. The mode detection application uses this feedback to confirm or correct mode decisions, ensuring that mode switches occur only when the activity pattern consistently matches the intended mode criteria, thereby improving switching accuracy
Data Source
AI summary
In embodiments of electronic device mode detection, a mode detection application, implemented on an electronic device, correlates an identifier of a wireless device and an activity of the electronic device based at least in part on multiple instances of detecting the identifier of the wireless device during the activity of the electronic device. In some embodiments, the mode detection application correlates the identifier of the wireless device and the activity of the electronic device based at least in part on the identifier of the wireless device not being detected during one or more different activities of the electronic device. After correlating the identifier of the wireless device and the activity of the electronic device, the mode detection application configures the electronic device to automatically switch to a mode associated with the activity responsive to detecting the identifier of the wireless device.