Hybrid outlier detection (HOD) method in sensor data for human activity classification-Reference-Cited by-同舟云学术

Hybrid outlier detection (HOD) method in sensor data for human activity classification

Published:2018-03-14 Issue:2 Volume:22 Page:245-260
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Nivetha G.¹,Venkatalakshmi K.²

Affiliation:

1. Faculty of Electronics and Communication Engineering, University College of Engineering Panruti, Tamilnadu, India

2. Faculty of Electronics and Communication Engineering, University College of Engineering Tindivanam, Tamilandu, India

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference43 articles.

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4. Human activity recognition based on a sensor weighting hierarchical classifier;Banos;Journal of Soft Computing,2013

5. S. Bashir, D. Doolan and A. Petrovski, ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition, in: Proc of 13th International Conference on Advances in Mobile Computing and Multimedia, 2013.

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