Motion Detection via Acceleration Prediction Model
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Solution Overview
Problem
Conventional navigation systems face challenges in accurately determining the motion state of mobile carriers, especially in areas with shielding objects like indoors or high-rise locations, due to location drift caused by GPS and network positioning issues.
Innovation Solution
A motion detection method using a pre-trained model that verifies the present posture and acceleration of an intelligent device within a mobile carrier, allowing for prediction of the carrier's motion state by inputting collected acceleration data into a prediction model, which corresponds to preset postures and duration thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or network positioning is used to determine motion state, then location information can be obtained, but location drift occurs in shielding areas (indoor, viaduct, high-rise) leading to inaccurate motion state determination
Solution Approach 1:
The patent introduces an intermediary approach by using acceleration sensor data as a mediator between the mobile carrier's actual motion state and the unreliable positioning systems. Instead of directly relying on GPS or network positioning results, the system uses acceleration measurements combined with a prediction model to infer motion state, effectively mediating the impact of positioning drift in shielding areas.
Solution Approach 2:
The patent replaces the mechanical positioning system (GPS/receiver-based location determination) with a sensor-based system (acceleration sensor + prediction model). This substitution allows the system to determine motion state through physical acceleration measurements rather than relying on electromagnetic positioning signals that fail in shielding areas.
2Manufacturing precision
If conventional positioning methods are used, then location data can be obtained, but location drift causes navigation accuracy to deteriorate in areas with signal shielding
Solution Approach 1:
The patent converts the harmful effect of signal shielding (which causes positioning failure) into a benefit by using acceleration sensor data that remains reliable regardless of electromagnetic signal conditions. The acceleration sensor continues to function accurately in shielding areas where GPS and network positioning fail, turning the shielding problem into an opportunity to use alternative sensing methods.
Solution Approach 2:
The patent changes the measurement parameter from position coordinates (which drift in shielding areas) to acceleration values (which remain stable). By transforming the basis of measurement from location-based parameters to motion-based parameters, the system maintains navigation accuracy despite the presence of signal shielding objects.
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 ensures accurate determination of the mobile carrier's motion state, even in areas with unreliable GPS and network positioning, by utilizing a prediction model trained on specific postures and accelerations, thereby improving navigation accuracy and reliability.
Implementation Method 1
an acceleration detector, configured to detect an acceleration of the device
Data Source
AI summary
The present disclosure provides a motion detection method, a device, and a medium. The method includes: verifying a pre-trained model according to a present posture of an intelligent device in a mobile carrier, and accelerations of the intelligent device when the mobile carrier is in different motion states, the pre-trained model being corresponding to a preset posture; taking a model passing the verifying as a prediction model; and inputting a collected-presently acceleration of the intelligent device to the prediction model, to output a prediction motion state of the mobile carrier.