Mobile Device Acceleration Threshold Notification
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Solution Overview
Problem
Current methods for detecting emergencies using smart phones and mobile devices are inaccurate and consume significant processing power and battery life, necessitating an improved system for timely and relevant notifications.
Innovation Solution
A method utilizing accelerometers in mobile devices to detect acceleration thresholds indicative of events like automobile accidents or near-misses, triggering notifications based on user profiles and location data, which are then displayed on the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods constantly monitor users' activities to detect emergencies, then emergency detection capability is improved, but processing power consumption and battery life are worsened
Solution Approach 1:
The patent extracts and isolates only the critical monitoring function (acceleration threshold detection) from continuous comprehensive activity monitoring. By focusing solely on detecting specific emergency patterns through accelerometers rather than constantly analyzing all user activities, the system maintains emergency detection capability while significantly reducing processing power consumption and battery drain.
Solution Approach 2:
The patent replaces complex software-based activity monitoring with hardware-based accelerometer sensing. The accelerometers directly detect physical motion patterns indicative of emergencies, substituting computational analysis with dedicated sensor detection, thereby reducing processing requirements while maintaining detection reliability.
2Reliability
If conventional methods constantly monitor users' activities to detect emergencies, then emergency detection capability is improved, but battery life is worsened
Solution Approach 1:
The patent extracts and isolates only the critical monitoring function (acceleration threshold detection) from continuous comprehensive activity monitoring. By focusing solely on detecting specific emergency patterns through accelerometers rather than constantly analyzing all user activities, the system maintains emergency detection capability while significantly reducing processing power consumption and battery drain.
Solution Approach 2:
The patent replaces complex software-based activity monitoring with hardware-based accelerometer sensing. The accelerometers directly detect physical motion patterns indicative of emergencies, substituting computational analysis with dedicated sensor detection, thereby reducing processing requirements and extending battery life.
3Duration of action of moving object
If conventional monitoring methods are used, then continuous monitoring capability is improved, but measurement precision of emergency events is worsened
Solution Approach 1:
The patent employs disposable acceleration threshold comparisons rather than continuous sophisticated analysis. Each acceleration event is evaluated against predetermined thresholds in a simple, decisive manner, providing precise emergency detection without requiring ongoing complex processing that would compromise accuracy over time.
Solution Approach 2:
The patent changes the monitoring parameter from continuous activity analysis to specific acceleration threshold detection. By focusing on critical physical parameters (acceleration magnitude and direction) rather than comprehensive activity patterns, the system achieves both continuous monitoring capability and high measurement precision for emergency events.
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 provides accurate and timely notifications that conserve processing power and battery life while offering relevant content to users during critical events, enhancing emergency detection and response.
Implementation Method 1
receiving, by the mobile device, acceleration data along one or more axes using one or more of the accelerometers associated with the mobile device
Data Source
AI summary
The methods and software application described herein monitor the acceleration experienced by a mobile device and determine when said acceleration exceeds a predetermined acceleration threshold that may be indicative of an unusually rapid acceleration or deceleration. In the event of a sudden acceleration or deceleration, the methods and mobile application described herein automatically trigger a timely, event-related notification to the user of the mobile device, such as displaying a banner on the mobile device's display, a text, electronic mail, or voice message.


