Pedestrian Safety System Using Device Interaction Detection
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Solution Overview
Problem
Distracted smartphone users pose a significant risk to themselves and others, as they often fail to notice their surroundings while using their devices, leading to increased pedestrian injuries and accidents.
Innovation Solution
A computer-implemented method and system that uses mobile device sensors to determine if a user is interacting with their device and identifies potential accident areas, generating real-time alerts to prevent accidents by analyzing data from the user and their cohort, a group of similarly situated users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If smartphone users continue using their devices while walking, then they can maintain productivity and access information, but their safety and awareness of surroundings deteriorate
Solution Approach 1:
The system performs preliminary detection of accident risk areas using sensor data (accelerometer, gyroscope, GPS) before the user actually encounters danger. It proactively identifies patterns indicating potential accidents and prepares alerts in advance, allowing the user to maintain smartphone usage while safety risks are preemptively monitored and addressed.
Solution Approach 2:
The system continuously monitors user movement patterns and provides real-time feedback through alerts when abnormal patterns suggesting accident risk are detected. This closed-loop feedback mechanism allows users to maintain productivity while the system dynamically adjusts safety monitoring based on ongoing sensor data analysis and user responses to alerts.
2Reliability
If the system provides frequent safety alerts to distracted users, then accident prevention improves, but user convenience and experience deteriorate
Solution Approach 1:
The system applies different alert strategies based on the specific context and risk level. Rather than uniform frequent alerts, it tailors the timing, frequency, and intensity of alerts to the particular accident risk situation detected, analyzing sensor patterns to determine when intervention is most necessary while minimizing unnecessary disruptions to user experience.
Solution Approach 2:
The system uses a cohort-based approach where alerts are triggered by aggregate patterns across multiple users rather than requiring extreme individual cases. This partial action approach allows the system to provide protection based on statistical risk patterns from the cohort, balancing safety intervention with user convenience by not over-reacting to every individual anomaly.
Data Source
AI summary
Systems and methods for providing real-time alerts to a user of a device in or near a potentially dangerous situation are disclosed. A computer-implemented method includes determining, by the mobile device, that a user is looking at the mobile device based on sensor data, determining, by the mobile device, an area of a likely accident event, and generating, by the mobile device, an alert based on the determining that the user is looking at the device and the determining the area of the likely accident event.