Evaluating Machine Learning-Based Classification of Human Locomotor Activities for Exoskeleton Control Using Inertial Measurement Unit and Pressure Insole Data

Classifying human locomotor activities from wearable sensor data is an important high-level component of control schemes for many wearable robotic exoskeletons. In this study, we evaluated three machine learning models for classifying activity type (walking, running, jumping), speed, and surface inc...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Tom Wilson, Samuel Wisdish, Josh Osofa, Dominic J. Farris
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	machine learning IMU classification walking running speed
Online Access:	https://www.mdpi.com/1424-8220/25/17/5365