One Step At a Time

One Step At a Time: Newly Proposed Gait Event Detection Using Position Benchmarked Against Existing Acceleration­-Based Methods

Mickers, Youp (TU Delft Mechanical, Maritime and Materials Engineering)

Vallery, H. (mentor)
Reijne, M.M. (graduation committee)
Kok, M. (graduation committee)

Delft University of Technology

Mechanical Engineering | Biomechanical Design - BioRobotics

2020-12-04

Gait event detection allows for insight into one’s gait pattern, an invaluable aid in rehabilitation. Current methods often rely on measured acceleration and rarely on position measurements [3]–[6]. In this paper we propose 4 novel gait detection methods based on the position of the Center of Mass (one approach being causal and thus suitable for real-time use) and compare them to 4 existing state-of-the-art acceleration- based methods. All algorithms are benchmarked on an existing data set (overground walking, 23 participants, 1772 steps), comparing the detection rate, false positive rate and the mean and (intra- and interparticipant) standard deviation of the timing error for Heel Strikes and Toe-Offs. We show that position-based algorithms give well-balanced results and are able to outperform the acceleration-based algorithms in all five metrics. Additionally, we propose and compare several methods for detecting left and right steps, thereby enabling quantification of the full gait cycle.

Gait Event Detection
Gait Phase Analysis
Acceleration-based
Position-based
Toe-Off
Heel Strike

http://resolver.tudelft.nl/uuid:4e6c9606-2d46-4266-8198-7eb37136d42b

Student theses

master thesis

© 2020 Youp Mickers