Onkar Atul Allewar

Trial-Efficient Crash and Fall Detection for Two-Wheeler Delivery Riders Using Smartphone Inertial Sensors

This paper presents a machine learning pipeline for real-time crash and fall detection using only smartphone accelerometer and gyroscope data, without dedicated hardware, and proposes a tiered escalation architecture to absorb the false-positive cost while preserving high sensitivity to genuine falls.