Evaluating Slips on Icy Surfaces: A Data Collection Protocol

Abstract

This study presents a protocol for collecting a diverse dataset encompassing motion, video, audio, kinematic, and environmental metrics related to walking on icy surfaces. Aimed at enhancing the understanding of the biomechanics involved in navigating such challenging conditions, the study recruited 27 participants for data collection in the state-of-the-art WinterLab at the Toronto Rehabilitation Institute. The protocol captures a wide array of data points including detailed body measurements, gait patterns, and slip occurrences that were recorded using an array of devices like Android phones, GoPro cameras, wireless microphones, and a Vicon motion capture system. Preliminary analysis of the dataset, involving over 2700 steps from one participant, demonstrates valuable insights into slip frequencies. This research not only advances the biomechanical understanding of walking on icy surfaces but also has practical implications in the design of preventative measures such as slip-resistant footwear and public safety strategies. This dataset will facilitate the development of predictive models for slip risk assessment, contributing to both academic research and better safety in winter conditions.