Pedestrian Impairment Detection Using Interaction Data
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Solution Overview
Problem
Pedestrians with impaired decision-making capabilities face challenges in safely navigating busy streets and intersections due to factors like fatigue, stress, or distraction, increasing their risk of accidents and injuries.
Innovation Solution
A pedestrian assistance system that analyzes interaction data from user devices to identify impaired decision-making states and provides countermeasures, such as notifications to the pedestrian and surrounding entities, to enhance safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pedestrians navigate busy streets independently without assistance, then their mobility and independence are maintained, but their safety is compromised due to impaired decision-making capabilities
Solution Approach 1:
The patent introduces a pedestrian assistance system that acts as an intermediary between the pedestrian and the complex roadway environment. The system monitors interaction data, detects impaired decision-making states, and provides countermeasures or alerts to third parties (drivers, traffic infrastructure), thereby mediating the safety risk without completely restricting pedestrian independence
Solution Approach 2:
The system enables pedestrians to self-monitor their own decision-making state through analysis of their interaction data (e.g., communication patterns, navigation behavior). The pedestrian receives feedback about their own cognitive state and can take corrective actions, maintaining autonomy while improving safety
2Measurement precision
If the system monitors and analyzes pedestrian interaction data continuously, then detection accuracy of impaired decision-making is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent divides the detection system into multiple components: a user device that collects interaction data, a processing system that analyzes the data, and a feedback system that provides countermeasures. This segmentation allows each component to focus on specific tasks, reducing overall system complexity while maintaining high detection accuracy
Solution Approach 2:
The system does not attempt to monitor all possible aspects of pedestrian behavior simultaneously. Instead, it focuses on specific interaction data types (communication patterns, navigation decisions, response times) that are most indicative of impaired decision-making, achieving accurate detection with reduced processing complexity
Data Source
AI summary
Systems, methods, and other embodiments described herein relate to identifying and assisting pedestrians identified as experiencing impaired decision-making capabilities. In one embodiment, a method includes determining, from interaction data collected by a user device of a pedestrian, an interaction characteristic of the pedestrian. The method also includes classifying the pedestrian as in an impaired decision-making state based on the interaction characteristic of the pedestrian deviating from baseline interaction data. The method further includes producing a pedestrian assistance countermeasure responsive to a determined impaired decision-making state for the pedestrian.