Feature selection and occupancy classification using seismic sensors

Arun Subramanian; Kishan G. Mehrotra; Chilukuri K. Mohan; Pramod K. Varshney; Thyagaraju Damarla

doi:10.1007/978-3-642-13025-0_62

Feature selection and occupancy classification using seismic sensors

Arun Subramanian, Kishan G. Mehrotra, Chilukuri K. Mohan, Pramod K. Varshney, Thyagaraju Damarla

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

11 Scopus citations

Abstract

In this paper, we consider the problem of indoor surveillance and propose a feature selection scheme for occupancy classification in an indoor environment. The classifier aims to determine whether there is exactly one occupant or more than one occupant. Data are obtained from six seismic sensors (geophones) that are deployed in a typical building hallway. Four proposed features exploit amplitude and temporal characteristics of the seismic time series. A neural network classifier achieves performance ranging between 77% to 95% on the test data, depending on the type of construction of the location in the building being monitored.

Original language	English (US)
Title of host publication	Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings
Pages	605-614
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-13025-0_62
State	Published - 2010
Event	23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2010 - Cordoba, Spain Duration: Jun 1 2010 → Jun 4 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6097 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2010
Country/Territory	Spain
City	Cordoba
Period	6/1/10 → 6/4/10

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-13025-0_62

Cite this

Subramanian, A., Mehrotra, K. G., Mohan, C. K., Varshney, P. K., & Damarla, T. (2010). Feature selection and occupancy classification using seismic sensors. In Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings (PART 2 ed., pp. 605-614). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6097 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-13025-0_62

Feature selection and occupancy classification using seismic sensors. / Subramanian, Arun; Mehrotra, Kishan G.; Mohan, Chilukuri K. et al.
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings. PART 2. ed. 2010. p. 605-614 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6097 LNAI, No. PART 2).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Subramanian, A, Mehrotra, KG, Mohan, CK , Varshney, PK & Damarla, T 2010, Feature selection and occupancy classification using seismic sensors. in Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6097 LNAI, pp. 605-614, 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2010, Cordoba, Spain, 6/1/10. https://doi.org/10.1007/978-3-642-13025-0_62

Subramanian A, Mehrotra KG, Mohan CK , Varshney PK, Damarla T. Feature selection and occupancy classification using seismic sensors. In Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings. PART 2 ed. 2010. p. 605-614. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-13025-0_62

Subramanian, Arun ; Mehrotra, Kishan G. ; Mohan, Chilukuri K. et al. / Feature selection and occupancy classification using seismic sensors. Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings. PART 2. ed. 2010. pp. 605-614 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Feature selection and occupancy classification using seismic sensors

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