Explained Activity Recognition with Computational Assumption-Based Argumentation

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.

Authors

• Xiuyi Fan
• Siyuan Liu 0003
• Huiguo Zhang
• Cyril Leung
• Chunyan Miao

Keywords

No keywords are indexed for this paper.