Explained Activity Recognition with Computational Assumption-Based Argumentation
Fan Xiuyi, Liu Siyuan, Zhang Huiguo, Leung Cyril, Miao Chunyan · Frontiers in artificial intelligence and applications · 2016
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.