Dynamic sensor data segmentation for real-time knowledge-driven activity recognition-Reference-Cited by-同舟云学术

Dynamic sensor data segmentation for real-time knowledge-driven activity recognition

Published:2014-02 Issue: Volume:10 Page:155-172
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

Okeyo George,Chen Liming,Wang Hui,Sterritt Roy

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference46 articles.

1. L. Bao, S.S. Intille, Activity recognition from user-annotated acceleration data, in: Second International Conference, PERVASIVE 2004, Lecture Notes in Comput. Sci., vol. 3001, pp. 1–17.

2. Learning situation models in a smart home;Brdiczka;IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,2009

3. Activity recognition for the smart hospital;Sanchez;IEEE Intelligent Systems,2008

4. A knowledge-driven approach to activity recognition in smart homes;Chen;IEEE Transactions on Knowledge and Data Engineering,2011

5. S. Knox, L. Coyle, S. Dobson, Using ontologies in case-based activity recognition, in: 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23, May 19, 2010–May 21, 2010, pp. 336–341.

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