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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-01-01
Edice:	Applied Sciences
Témata:	XGBoost classification SHapley Additive exPlanations (SHAP) feature importance field experiment material handling tasks wearable sensors
On-line přístup:	https://www.mdpi.com/2076-3417/15/2/650
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!