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A First Step towards Explained Activity Recognition with Computational Abstract Argumentation


Authors: X. Fan, H. Zhang, C. Leung, and C. Miao
Title: A First Step towards Explained Activity Recognition with Computational Abstract Argumentation
Abstract: Activity recognition is a key problem in multi-sensor systems. In a home-like environment, from several sensors of different types, the multi-sensor system identifies activities performed by the inhabitants. Many supervised learning techniques exist for solving this problem. In this paper, we present a novel argumentation based approach that seamlessly combines low level sensor data processing, realized with Neural Network classifiers with high level activity recognition, represented by argumentation computation. The proposed framework gives classification results comparable to pure learning based approaches with significantly reduced training time while giving argumentative explanations.
Keywords: 
Conference Name: 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI'16)
Location: Baden-Baden, Germany
Publisher: IEEE
Year: 2016
Accepted PDF File: A_First_Step_towards_Explained_Activity_Recognition_with_Computational_Abstract_Argumentation_accepted.pdf
Permanent Link: https://doi.org/10.1109/MFI.2016.7849487
Reference: X. Fan, H. Zhang, C. Leung, and C. Miao, “A first step towards explained activity recognition with computational abstract argumentation,” in Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI’16). IEEE, September 2016, pp. 186–191.
bibtex: 
@inproceedings{LILY-c103, 
    author	= {Fan, Xiuyi and Zhang, Huiguo and Leung, Cyril and Miao, Chunyan},
    title	= {A First Step towards Explained Activity Recognition with Computational Abstract Argumentation},  
    booktitle	= {Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI'16)}, 
    year		= {2016}, 
    month	= {September}, 
    pages	= {186-191}, 
    location	= {Baden-Baden, Germany},
    publisher	= {IEEE},
 }