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Explained Activity Recognition with Computational Assumption-Based Argumentation
Xiuyi Fan, Siyuan Liu, Huiguo Zhang, Cyril Leung, Chunyan Miao
1590 - 1591
10.3233/978-1-61499-672-9-1590
Frontiers in Artificial Intelligence and Applications
Volume 285: ECAI 2016
Abstract

Activity recognition is a key problem in multi-sensor systems. In this work, we introduce Computational Assumption-based Argumentation, an argumentation approach that seamlessly combines sensor data processing with high-level inference. Our method gives classification results comparable to machine learning based approaches with reduced training time while also giving explanations.

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