Vehicle Movement State Detection Using Accelerometer and Gyroscope Segmentation
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Solution Overview
Problem
Determining the movement state of a device based on angular velocity is resource and power demanding, necessitating a more efficient method for accurate state detection.
Innovation Solution
A system that includes a moving state detector, a profile-based movement state detector, and a refined movement state detector, which uses detected accelerations to estimate and refine movement states, with the profile-based detector employing Hidden Markov Models to calculate probabilities of candidate movement states and the refined detector utilizing angular velocity when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If movement state is determined based on angular velocity from gyroscope, then measurement precision is improved, but use of energy and device complexity increase
Solution Approach 1:
The patent segments the movement state detection into two distinct levels: a coarse detection level using accelerometer data for general movement state identification, and a fine detection level using gyroscope data only when triggering conditions are met. This segmentation allows the system to achieve accurate movement state detection while significantly reducing power consumption by limiting gyroscope usage to necessary moments only.
Solution Approach 2:
The patent implements preliminary action by using accelerometer-based coarse detection to predict or anticipate movement states before confirming them with gyroscope data. The system pre-identifies potential turning events through acceleration patterns, then activates the more power-consuming gyroscope only when these preliminary indicators suggest a turning event is occurring, thereby reducing overall power consumption while maintaining detection accuracy.
2Measurement precision
If movement state is determined based on angular velocity from gyroscope, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the detection system into two functional segments: a primary detection module using accelerometer data for continuous monitoring, and a secondary refinement module using gyroscope data activated only under specific conditions. This segmentation reduces device complexity by organizing the detection process into hierarchical layers, where the simpler accelerometer-based system handles most cases and the more complex gyroscope-based system is engaged only when necessary.
Solution Approach 2:
The patent applies dynamics by making the detection system adaptive and condition-dependent. The system dynamically switches between using only accelerometer data and combining accelerometer with gyroscope data based on real-time movement characteristics. This dynamic approach simplifies the overall system architecture compared to continuously using all sensors, as the complexity is activated only when the movement patterns indicate its necessity.
3Measurement precision
If refined movement state detection is performed continuously, then measurement precision is improved, but productivity decreases due to resource consumption
Solution Approach 1:
The patent implements partial action by applying refined gyroscope-based detection only partially - specifically, only when triggering conditions are met rather than continuously. This allows the system to maintain high measurement precision for critical movement states while improving overall system efficiency by avoiding unnecessary processing and resource consumption during non-critical periods, thus resolving the contradiction between precision and productivity.
Data Source
AI summary
Aspects of the disclosure provide a system for detecting a movement that includes a moving state detector, a profile-based movement state detector, and a refined movement state detector. The moving state detector is configured to generate a moving state based on a detected speed. The profile-based movement state detector is configured to determine an estimated movement state based on the moving state and detected accelerations. The refined movement state detector is configured to generate, in response to the estimated movement state corresponding to a predetermined triggering movement state, a refined movement state based on a detected angular velocity.