Detecting activities for assisted living

Dorothy Monekosso; Paolo Remagnino

doi:10.1007/978-3-540-85379-4_28

Detecting activities for assisted living

Dorothy Monekosso
, Paolo Remagnino

School of Computer Science and Mathematics

Kingston University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The objective is to detect activities taking place in a home for the purpose of creating models of behavior for the occupant. An array of sensors captures the status of appliances used in the home. Models for the occupant’s activities are built from the captured data using unsupervised learning techniques. Predictive models can be used in a number of ways: to enhance user experience, to maximize resource usage efficiency, for safety and for security. This work focuses on supporting independent living and enhancing quality of life for older persons. The goal is for the system to distinguish between normal and anomalous behavior. In this paper, we present the results of unsupervised classification techniques applied to the problem of modeling activity.

Original language	English
Title of host publication	Constructing ambient intelligence
Subtitle of host publication	AmI 2007 Workshops Darmstadt, Germany, November 7-10, 2007, revised papers
Publisher	Springer Nature
Pages	228-237
Number of pages	10
ISBN (Electronic)	9783540853794
ISBN (Print)	9783540853787
DOIs	https://doi.org/10.1007/978-3-540-85379-4_28
Publication status	Published - 2008
Event	European Conference on Ambient Intelligence - Darmstadt, Germany Duration: 7 Nov 2007 → 10 Nov 2007

Publication series

Name	Communications in Computer and Information Science
Volume	11
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	European Conference on Ambient Intelligence
Period	7/11/07 → 10/11/07

Keywords

Computer science and informatics

Access to Document

10.1007/978-3-540-85379-4_28

Cite this

@inproceedings{bf3ab34db67449a3afaaba4c20a75311,

title = "Detecting activities for assisted living",

abstract = "The objective is to detect activities taking place in a home for the purpose of creating models of behavior for the occupant. An array of sensors captures the status of appliances used in the home. Models for the occupant{\textquoteright}s activities are built from the captured data using unsupervised learning techniques. Predictive models can be used in a number of ways: to enhance user experience, to maximize resource usage efficiency, for safety and for security. This work focuses on supporting independent living and enhancing quality of life for older persons. The goal is for the system to distinguish between normal and anomalous behavior. In this paper, we present the results of unsupervised classification techniques applied to the problem of modeling activity.",

keywords = "Computer science and informatics",

author = "Dorothy Monekosso and Paolo Remagnino",

year = "2008",

doi = "10.1007/978-3-540-85379-4\_28",

language = "English",

isbn = "9783540853787",

series = "Communications in Computer and Information Science",

publisher = "Springer Nature",

pages = "228--237",

booktitle = "Constructing ambient intelligence",

address = "Switzerland",

note = "European Conference on Ambient Intelligence ; Conference date: 07-11-2007 Through 10-11-2007",

}

Monekosso, D & Remagnino, P 2008, Detecting activities for assisted living. in Constructing ambient intelligence: AmI 2007 Workshops Darmstadt, Germany, November 7-10, 2007, revised papers. Communications in Computer and Information Science, vol. 11, Springer Nature, pp. 228-237, European Conference on Ambient Intelligence, 7/11/07. https://doi.org/10.1007/978-3-540-85379-4_28

Detecting activities for assisted living. / Monekosso, Dorothy; Remagnino, Paolo.
Constructing ambient intelligence: AmI 2007 Workshops Darmstadt, Germany, November 7-10, 2007, revised papers. Springer Nature, 2008. p. 228-237 (Communications in Computer and Information Science; Vol. 11).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Monekosso, Dorothy

AU - Remagnino, Paolo

PY - 2008

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N2 - The objective is to detect activities taking place in a home for the purpose of creating models of behavior for the occupant. An array of sensors captures the status of appliances used in the home. Models for the occupant’s activities are built from the captured data using unsupervised learning techniques. Predictive models can be used in a number of ways: to enhance user experience, to maximize resource usage efficiency, for safety and for security. This work focuses on supporting independent living and enhancing quality of life for older persons. The goal is for the system to distinguish between normal and anomalous behavior. In this paper, we present the results of unsupervised classification techniques applied to the problem of modeling activity.

AB - The objective is to detect activities taking place in a home for the purpose of creating models of behavior for the occupant. An array of sensors captures the status of appliances used in the home. Models for the occupant’s activities are built from the captured data using unsupervised learning techniques. Predictive models can be used in a number of ways: to enhance user experience, to maximize resource usage efficiency, for safety and for security. This work focuses on supporting independent living and enhancing quality of life for older persons. The goal is for the system to distinguish between normal and anomalous behavior. In this paper, we present the results of unsupervised classification techniques applied to the problem of modeling activity.

KW - Computer science and informatics

U2 - 10.1007/978-3-540-85379-4_28

DO - 10.1007/978-3-540-85379-4_28

M3 - Conference contribution

SN - 9783540853787

T3 - Communications in Computer and Information Science

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BT - Constructing ambient intelligence

PB - Springer Nature

T2 - European Conference on Ambient Intelligence

Y2 - 7 November 2007 through 10 November 2007

ER -

Detecting activities for assisted living

Abstract

Publication series

Conference

Keywords

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