Passive Mobile Sensor Tracking for Driving Behavior Analysis
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Solution Overview
Problem
Current methods for understanding user interactions with mobile devices are limited, as they primarily focus on active actions, neglecting the vast amount of passive time when users are simply carrying their phones, which is not well understood or utilized in the industry.
Innovation Solution
A system and method for passively capturing and monitoring device behaviors using a mobile device's OS services and sensors to track movements and orientations, allowing for the inference of activities such as driving habits without the need for external OBD devices, and recording travel data efficiently to analyze driving behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If passive monitoring of device behaviors is implemented without external peripherals, then device complexity is reduced and ease of operation is improved, but measurement precision and reliability of driving behavior data may deteriorate
Solution Approach 1:
The patent combines multiple existing device components (sensors, GPS, accelerometer, gyroscope, magnetometer) into a unified passive monitoring system that collectively performs driving behavior detection, eliminating the need for external OBD devices while maintaining measurement accuracy through data fusion from multiple sources
Solution Approach 2:
The mobile device's existing sensor suite is designed to serve multiple functions including navigation, fitness tracking, and now driving behavior monitoring, allowing the same hardware to perform diverse measurement tasks without requiring specialized external equipment
2Measurement precision
If continuous sensor data recording is performed to accurately capture driving behaviors, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic sampling of sensor data at optimized intervals rather than continuous recording, activating sensors only when driving conditions are detected or at predetermined time intervals, thereby maintaining adequate measurement precision while significantly reducing energy consumption during passive monitoring periods
Solution Approach 2:
The monitoring system dynamically adjusts its data collection frequency and sensor activation based on detected driving states, increasing precision when driving behavior is detected and reducing to minimal monitoring when the device is stationary or not in use, optimizing the balance between measurement accuracy and energy usage
Data Source
AI summary
A determination is made that a mobile device is associated with a reference activity of a user based on motion, orientation, rotational, magnetic field, and/or location data provided by sensors of the device. Activity data associated with the reference activity is obtained from the sensor-provided data. The activity data is recorded on the device for a configured period of time after which it is determined that the device is no longer performing the reference activity. The retained activity data for the reference activity is sent from the device to a network-based behavior analyzer when a network connection is available from the device. The network-based behavior analyzer derives user behaviors for the reference activity based on the activity data.