Portable Device Motion Sensor Data Segmentation for Vehicle Dynamics
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Solution Overview
Problem
Current technologies lack effective methods to determine whether a portable device is in a moving vehicle and to characterize the association between the device and its user, particularly in assessing the user's operation of the vehicle for safety and legal considerations.
Innovation Solution
A method and device that utilize motion sensor data from portable devices to distinguish between the motion of a platform (such as a vehicle) and the independent motion of the device, allowing for the characterization of platform motion and user interaction, including the use of inertial sensors, image sensors, and machine learning techniques to segregate and analyze sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If motion sensor data from portable devices is used to assess vehicle operator performance, then insights into driving behavior can be obtained, but it becomes difficult to distinguish between vehicle motion and device-independent motion
Solution Approach 1:
The patent segments the motion sensor data into two distinct components: vehicle motion data and device-independent motion data. By applying signal processing techniques and machine learning algorithms, the system separates the composite motion signal into these two segments, allowing accurate characterization of vehicle motion while filtering out distractions from device movement. This segmentation resolves the contradiction by maintaining information quality without requiring complex dedicated sensors.
Solution Approach 2:
The patent introduces machine learning models and signal processing algorithms as intermediary layers between the raw motion sensor data and the final vehicle performance assessment. These intermediaries process the composite motion data, identify patterns corresponding to vehicle motion versus device motion, and extract meaningful vehicle performance metrics. This intermediary processing layer enables accurate vehicle motion detection while managing the complexity of distinguishing between different motion sources.
2Adaptability or versatility
If portable devices are used to characterize platform motion, then no dedicated sensors are needed, but the device may have independent motion that contaminates the measurement
Solution Approach 1:
The patent extracts and removes the device-independent motion component from the total motion sensor data. By identifying characteristics specific to device motion (such as high-frequency vibrations from device handling or periodic motions from device usage patterns), the system separates and eliminates these contaminants, leaving only the pure vehicle motion signal. This extraction process maintains measurement precision while enabling the use of versatile portable devices.
Solution Approach 2:
The patent employs dynamic analysis techniques that adapt to changing motion patterns in real-time. The system continuously monitors motion characteristics and dynamically adjusts its separation algorithms to distinguish between vehicle motion and device motion based on their different temporal and frequency characteristics. This dynamic approach maintains measurement precision across various driving conditions and device usage scenarios.
3Ease of operation
If the portable device is untethered or unconstrained, then user interaction is possible, but device motion becomes harder to separate from platform motion
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors both device motion patterns and vehicle motion patterns, using this feedback to refine its separation algorithms. By analyzing the correlation between device orientation changes, acceleration patterns, and vehicle dynamics, the system adapts its motion separation in real-time, making it easier to distinguish between device and vehicle motion even when the device is freely moving and being actively used by the driver.
Data Source
AI summary
An apparatus and method are disclosed for characterizing motion of a platform. Motion sensor data from a portable device having a sensor assembly may be obtained. The portable device may be within the platform and tethered or untethered, and the mobility of the portable device may be constrained or unconstrained within the platform. Following a determination the platform is moving, motion dynamics of the portable device that are independent from motion dynamics of the platform may be identified and motion sensor data corresponding to motion of the platform and motion sensor data corresponding to the identified independent motion of the portable device may be separated from the obtained motion sensor data. Accordingly, motion sensor data corresponding to motion of the platform that is independent of motion of the portable device may be output. This may be used to derive operator analytics for assessing performance.