Motion Sensor Device for Tracking Misplaced Items
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Solution Overview
Problem
People frequently misplace items such as keys, wallets, and cell phones due to memory issues or accidental loss, and existing solutions do not effectively help locate forgotten or unused items over time.
Innovation Solution
A device comprising a controller, a motion sensor, and a location receiver that detects and tracks motion activity and inactivity patterns to alert the user through a transmitter when an item has been unused for an extended period, using adaptive techniques to ignore minor movements and determine standard time intervals of inactivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a device uses motion sensors and location receivers to track and notify users of misplaced items, then the reliability of finding items is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple functions (motion sensing, location tracking, notification) into a single integrated device that attaches to personal items. This merging approach maintains high reliability for item location while reducing overall system complexity by consolidating components rather than using separate systems.
Solution Approach 2:
The device serves as an intermediary between the user and misplaced items, using motion sensors and location receivers to detect item status and communicate location information. This intermediary role enables reliable item tracking without requiring complex user actions or multiple separate systems.
2Ease of operation
If the device provides continuous motion monitoring and notifications, then the ease of operation for finding items is improved, but the energy consumption increases
Solution Approach 1:
The device monitors motion periodically rather than continuously, activating sensors and notifications based on motion events or time intervals. This periodic operation maintains ease of use for finding items while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The device automatically detects motion patterns and triggers notifications without requiring user activation. This self-service approach improves ease of operation for users while minimizing energy consumption by only activating components when motion is detected or time-based conditions are met.
3Productivity
If the device learns and adapts to user usage patterns over time, then the productivity of locating items is improved, but the device complexity increases
Solution Approach 1:
The device performs preliminary learning of usage patterns during initial use periods, storing baseline data about when and how items are typically used. This preliminary action enables faster item location productivity later without requiring complex real-time analysis, as the adaptive response is based on pre-learned patterns.
Solution Approach 2:
The device implements dynamic adaptation where notification thresholds and timing adjust based on learned usage patterns. This dynamic behavior improves productivity by providing notifications at optimal times while using relatively simple adaptive algorithms that modify basic operational parameters rather than requiring complex processing.
Data Source
AI summary
Devices to aid in finding items, including purses or other luggage, along with methods of operation of the devices. The resultant movement of an item during use, and lack of movement of an item during non-use, are exploited to alert a user to the whereabouts of the item through adaptive techniques. A device is located with the item, purse, or other luggage, and configured to sense motion information. Location notification may be based on such motion information.