Mobile Device Motion Prediction for External Device Control
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Solution Overview
Problem
Mobile devices face delays in triggering operations at external devices due to system latency and signal errors, leading to inaccurate or delayed interactions, such as advertisements or information delivery, when approaching external devices.
Innovation Solution
A mobile device method that determines moving directions and distances using acceleration sensing signals and wireless signal strengths, calculates average moving speed, and selectively outputs operating requirements to control external devices based on estimated positions and speeds, ensuring timely and accurate interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the external device performs operation based on simple distance threshold detection, then the system is simple to implement, but the operation timing is delayed due to system latency and signal errors
Solution Approach 1:
The mobile device performs preliminary calculations of moving direction and average moving speed before the actual interaction occurs. By determining the trajectory and speed in advance, the system can predict when the mobile device will enter the interaction range, allowing the external device to prepare and execute operations at the correct time rather than waiting for threshold detection after the fact.
Solution Approach 2:
The mobile device acts as an intermediary that processes acceleration sensing signals and wireless signal strengths to calculate moving direction and speed. This intermediary computation layer translates raw sensor data into predictive trajectory information, which then guides the timing of operations at the external device, resolving the timing delay issue without requiring complex changes to the external device itself.
2Ease of manufacture
If the system uses basic distance threshold detection, then the implementation is straightforward, but the operation accuracy is poor due to system latency and signal errors
Solution Approach 1:
The system replaces simple threshold-based distance detection with a computational approach using acceleration sensing signals and wireless signal strengths. Instead of relying on a single distance measurement that is prone to error, the system uses sensor fusion and mathematical calculations to determine moving direction and average speed, providing more accurate and reliable operation triggering.
Solution Approach 2:
The system changes from using a single distance parameter to using multiple parameters including acceleration sensing signals, wireless signal strengths, moving direction, and average moving speed. By incorporating these additional parameters and calculating derived values like trajectory and predicted position, the system achieves higher measurement precision while maintaining reasonable implementation complexity.
3Measurement precision
If the mobile device continuously monitors position with high precision, then the interaction accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system performs calculations of moving direction and average speed using existing sensor data that is already being collected for other purposes. Rather than continuously activating additional high-precision sensors, the system partially processes available acceleration and wireless signal data to derive trajectory information, achieving improved accuracy without proportionally increasing energy consumption.
Solution Approach 2:
The mobile device uses its own existing sensors (acceleration sensor and wireless signal receiver) to determine its moving trajectory and predict interaction timing. By leveraging already-active components and their existing data streams, the system avoids the need for additional power-intensive monitoring mechanisms while still achieving precise position and timing information.
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 enhances the accuracy and timing of external device operations by determining when a mobile device approaches within a predetermined threshold, allowing for precise control and improved user experiences.
Implementation Method 1
determining a plurality of moving directions of a mobile device corresponding to a plurality of time points according to an acceleration sensing signal
Implementation Method 2
determining a plurality of distances between the mobile device and an external wireless signal transmitter corresponding to the time points according to a wireless signal from the external wireless signal transmitter
Data Source
AI summary
An operating method of a mobile device includes determining a plurality of moving directions of a mobile device corresponding to a plurality of time points according to an acceleration sensing signal; determining a plurality of distances between the mobile device and an external wireless signal transmitter corresponding to the time points according to a wireless signal from the external wireless signal transmitter; calculating an average moving speed of the mobile device according to the moving directions and the distances between the mobile device and the external wireless signal transmitter; estimating an estimating moving direction of the mobile device according to the moving directions; and selectively outputting an operating requirement according to the average moving speed and the estimating moving direction of the mobile device, to make an external device operates an instruction corresponding to the operating requirement.