Category
Wearable Technology
Document Type
Paper
Abstract
Current running platforms lack quantitative surface characterization despite its critical influence on performance and injury risk. We developed a smartphone-based method using ankle-mounted inertial sensors to measure runner-surface interactions through two metrics: Runner-Perceived Hardness Index (RPHI) and Runner-Perceived Traction Index (RPTI). Two runners performed total of 19 analyzable trials across cement and snow surfaces. Results show cement had a significantly higher RPHI (15.32±5.53 vs. 1.94±1.12 m/s²) and a significantly lower RPTI (16.52±2.17 vs 25.00±3.35 m/s²) than snow. These findings validate smartphones for real-time surface characterization, enabling data-driven training optimization previously limited to laboratories.
Recommended Citation
Oh, Junho and Oh, Jaeyoung
(2025)
"SURFACE CONDITION MEASUREMENT FOR RUNNERS USING SMARTPHONE SENSORS,"
ISBS Proceedings Archive: Vol. 43:
Iss.
1, Article 65.
Available at:
https://commons.nmu.edu/isbs/vol43/iss1/65
