Mobile Device Anti-Theft via Motion Parameter Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current anti-theft software for smartphones cannot prevent theft in real-time and becomes ineffective if the operating system is reinstalled after the device is stolen, as it relies on post-theft GPS location and data destruction or alarm activation.
Innovation Solution
An anti-theft method for mobile devices that detects motion parameters, such as distance change and user gait information, using sensors like gravity and angular velocity sensors, to determine if the device is being stolen and triggers an alarm when abnormal conditions are detected, and includes fingerprint matching to identify unauthorized users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If anti-theft software uses GPS location services and post-theft alarm functions, then the device can be located and alarms can be triggered after theft, but the device cannot prevent theft in real-time and becomes ineffective if the operating system is reinstalled
Solution Approach 1:
The system performs preliminary action by detecting motion parameters and distance changes before theft occurs. It monitors the relationship between the mobile device and surrounding objects in advance, comparing motion patterns against pre-stored standard parameters to identify potential theft attempts before they complete, thereby preventing theft rather than responding after it happens.
Solution Approach 2:
The patent replaces the mechanical/GPS-based post-theft tracking system with a sensor-based motion detection system. Instead of relying on GPS location services that activate after theft, it uses gravity sensors, angular velocity sensors, and acceleration sensors to detect motion parameters and substitute the passive GPS system with an active motion monitoring system that can identify theft attempts in real-time.
2Reliability
If the system triggers alarm based on motion detection, then theft can be prevented in real-time, but false alarms may occur due to normal device movement
Solution Approach 1:
The system implements feedback by continuously monitoring motion parameters and comparing them against pre-stored standard parameters. It uses multiple sensor inputs (gravity sensor, angular velocity sensor, acceleration sensor) that provide feedback loops to distinguish between normal device movement and theft attempts. The comparison mechanism provides feedback to determine whether detected motion exceeds threshold ranges, reducing false alarms through continuous verification.
Solution Approach 2:
The patent applies parameter changes by monitoring multiple motion parameters simultaneously (motion trajectory, instantaneous speed, user gait information) and comparing them against standard parameters. It changes the detection approach from single-parameter GPS tracking to multi-parameter motion analysis, using threshold ranges for each parameter to accurately distinguish theft attempts from normal usage, thereby reducing false alarms while maintaining high detection accuracy.
3Measurement precision
If multiple sensors are used to detect motion parameters, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The system applies universality by using multiple sensors (gravity sensor, angular velocity sensor, acceleration sensor) that serve multiple functions. These sensors not only detect motion parameters for theft prevention but also provide data for comparing motion trajectories, calculating instantaneous speed, and analyzing user gait information. The same sensor system handles multiple detection tasks, reducing overall system complexity while maintaining high measurement precision through multi-functional sensor utilization.
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 method allows for timely detection and prevention of theft, reducing loss by triggering an alarm and improving owner recognition, while minimizing false alarms and remaining effective even if the operating system is reinstalled.
Implementation Method 1
detecting a motion trajectory of the mobile device, wherein the motion trajectory is determined by a gravity sensor and an angular velocity sensor of the mobile device
Implementation Method 2
detecting a motion trajectory of the mobile device, wherein the motion trajectory is determined by a gravity sensor and an angular velocity sensor of the mobile device
Implementation Method 3
detecting an instantaneous speed of the mobile device, wherein the instantaneous speed is determined by an acceleration sensor of the mobile device
Data Source
AI summary
The present disclosure provides a mobile device and an anti-theft method thereof, which relates to the technical field of mobile communication. The anti-theft method of the mobile device includes: detecting a motion parameter of the mobile device, when a distance change relationship between the mobile device and a detected target object satisfies a preset rule; comparing the motion parameter of the mobile device with a standard parameter pre-stored in the mobile device, to judge whether the motion parameter exceeds a threshold range; and triggering the mobile device to sound an alarm when the motion parameter exceeds the threshold range.