A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition

A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition

Recent applications of wearable inertial measurement units (IMUs) for predicting human movement have often entailed estimating action-level (e.g., walking, running, jumping) and joint-level (e.g., ankle plantarflexion angle) motion. Although action-level or joint-level information is frequently the...

Full description

Bibliographic Details
Main Authors: David Hollinger, Ryan S. Pollard, Mark C. Schall, Howard Chen, Michael Zabala
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
wearable sensors
accelerometers
gyroscopes
movement intent prediction
Online Access:https://www.mdpi.com/1424-8220/24/23/7857

Internet

https://www.mdpi.com/1424-8220/24/23/7857

Similar Items