Category
Wearable Technology
Document Type
Paper
Abstract
Wearable IMUs offer a promising alternative to lab-based motion capture for sports biomechanics. Accurate foot contact detection (FCD) is crucial, yet most algorithms are validated for daily activities, leaving a gap in high-dynamic movements, such as sprints and changes of direction, which are linked to injury risk. This study (I) reviews FCD algorithms for such tasks and (II) develops a new IMU-based algorithm for detecting initial contact (IC) and toe-off (TO). The review highlighted limitations in sport-specific FCD solutions. Two algorithms using Pelvis Vertical Velocity (PVV) and Resultant Foot Acceleration (RFA) were tested on 302 trials. A hybrid approach combining the two, improved accuracy, achieving 5.6ms and 20.4ms median offsets for IC and TO detection respectively. The final algorithm, validated against force plates, offers a valid method for real-world sports applications.
Recommended Citation
Mendicino, Margherita; Di Paolo, Stefano; Dos Santos, José Miguel; Nijmeijer, Eline M.; Heuvelmans, Pieter; Della Villa, Francesco; Gokeler, Alli; Benjaminse, Anne; and Zaffagnini, Stefano
(2025)
"DEVELOPMENT AND VALIDATION OF AN ALGORITHM FOR FOOT CONTACT DETECTION IN HIGH-DYNAMIC MOVEMENTS USING INERTIAL MEASUREMENT UNITS,"
ISBS Proceedings Archive: Vol. 43:
Iss.
1, Article 57.
Available at:
https://commons.nmu.edu/isbs/vol43/iss1/57
