Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture

Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture

This study addresses a critical gap in human activity recognition (HAR) research by enhancing both the explainability and efficiency of activity classification in collaborative human–robot systems, particularly in agricultural environments. While traditional HAR models often prioritize improving ove...

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Bibliographic Details
Main Authors: Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
XGBoost classification
SHapley Additive exPlanations (SHAP)
feature importance
field experiment
material handling tasks
wearable sensors
Online Access:https://www.mdpi.com/2076-3417/15/2/650
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