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Correlating sensors and activities in an intelligent environment: A logistic regression approach

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Correlating sensors and activities in an intelligent environment: A logistic regression approach. / Al-Bin-Ali, Fahd; Boddupalli, Prasad; Davies, Nigel et al.
Ambient Intelligence: First European Symposium, EUSAI 2003, Veldhoven,The Netherlands,November 3-4, 2003. Proceedings. Vol. 2875 Springer-Verlag, 2003. p. 318-333.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Al-Bin-Ali, F, Boddupalli, P, Davies, N & Friday, A 2003, Correlating sensors and activities in an intelligent environment: A logistic regression approach. in Ambient Intelligence: First European Symposium, EUSAI 2003, Veldhoven,The Netherlands,November 3-4, 2003. Proceedings. vol. 2875, Springer-Verlag, pp. 318-333. https://doi.org/10.1007/b94080

APA

Al-Bin-Ali, F., Boddupalli, P., Davies, N., & Friday, A. (2003). Correlating sensors and activities in an intelligent environment: A logistic regression approach. In Ambient Intelligence: First European Symposium, EUSAI 2003, Veldhoven,The Netherlands,November 3-4, 2003. Proceedings (Vol. 2875, pp. 318-333). Springer-Verlag,. https://doi.org/10.1007/b94080

Vancouver

Al-Bin-Ali F, Boddupalli P, Davies N, Friday A. Correlating sensors and activities in an intelligent environment: A logistic regression approach. In Ambient Intelligence: First European Symposium, EUSAI 2003, Veldhoven,The Netherlands,November 3-4, 2003. Proceedings. Vol. 2875. Springer-Verlag,. 2003. p. 318-333 doi: 10.1007/b94080

Author

Al-Bin-Ali, Fahd ; Boddupalli, Prasad ; Davies, Nigel et al. / Correlating sensors and activities in an intelligent environment: A logistic regression approach. Ambient Intelligence: First European Symposium, EUSAI 2003, Veldhoven,The Netherlands,November 3-4, 2003. Proceedings. Vol. 2875 Springer-Verlag, 2003. pp. 318-333

Bibtex

@inproceedings{14beeeefeba4442384de5275bc4126b2,
title = "Correlating sensors and activities in an intelligent environment: A logistic regression approach",
abstract = "An important problem in intelligent environments is how the system can identify and model users' activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment. Intelligent systems can then use these correlations to recognize the activities in a space. The proposed approach is motivated by the need for distinguishing the critical set of sensors that identifies a specific activity from others that do not. We compare several correlation techniques and show that logistic regression is a suitable solution. Finally, we describe our approach and report preliminary results.",
author = "Fahd Al-Bin-Ali and Prasad Boddupalli and Nigel Davies and Adrian Friday",
year = "2003",
month = nov,
day = "3",
doi = "10.1007/b94080",
language = "English",
volume = "2875",
pages = "318--333",
booktitle = "Ambient Intelligence",
publisher = "Springer-Verlag,",

}

RIS

TY - GEN

T1 - Correlating sensors and activities in an intelligent environment: A logistic regression approach

AU - Al-Bin-Ali, Fahd

AU - Boddupalli, Prasad

AU - Davies, Nigel

AU - Friday, Adrian

PY - 2003/11/3

Y1 - 2003/11/3

N2 - An important problem in intelligent environments is how the system can identify and model users' activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment. Intelligent systems can then use these correlations to recognize the activities in a space. The proposed approach is motivated by the need for distinguishing the critical set of sensors that identifies a specific activity from others that do not. We compare several correlation techniques and show that logistic regression is a suitable solution. Finally, we describe our approach and report preliminary results.

AB - An important problem in intelligent environments is how the system can identify and model users' activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment. Intelligent systems can then use these correlations to recognize the activities in a space. The proposed approach is motivated by the need for distinguishing the critical set of sensors that identifies a specific activity from others that do not. We compare several correlation techniques and show that logistic regression is a suitable solution. Finally, we describe our approach and report preliminary results.

U2 - 10.1007/b94080

DO - 10.1007/b94080

M3 - Conference contribution/Paper

VL - 2875

SP - 318

EP - 333

BT - Ambient Intelligence

PB - Springer-Verlag,

ER -