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Activity recognition for context-aware hospital applications: issues and opportunities for the deployment of pervasive networks

Authors:

Monica Tentori,

Luis A. Castro,

Victor M. Gonzalez,

Elisa B. Moran,

Ana I. Martínez-GarcíaAuthors Info & Claims

Mobile Networks and Applications, Volume 12, Issue 2-3

Pages 155 - 171

https://doi.org/10.1007/s11036-007-0013-5

Published: 01 March 2007 Publication History

Abstract

Hospitals are convenient settings for the deployment of context-aware applications. The information needs of hospital workers are highly dependent on contextual variables, such as location, role and activity. While some of these parameters can be easily determined, others, such as activity are much more complex to estimate. This paper describes an approach to estimate the activity being performed by hospital workers. The approach is based on information gathered from a workplace study conducted in a hospital, in which 196 h of detailed observation of hospital workers was recorded. Contextual information, such as the location of hospital workers, artifacts being used, the people with whom they collaborate and the time of the day, is used to train a back propagation neural network to estimate hospital workers activities. The activities estimated include clinical case assessment, patient care, preparation, information management, coordination and classes and certification. The results indicate that the user activity can be correctly estimated 75% of the time (on average) which is good enough for several applications. We discuss how these results can be used in the design of activity-aware applications, arguing that recent advances in pervasive and networking technologies hold great promises for the deployment of such applications.

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Cited By

Mathisen ASørensen SStisen ABlunck HGrønbæk KGu TKotagiri RLiu H(2017)A Study on the Impact of Indoor Positioning Performance on Activity Recognition ApplicationsProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3144457.3144501(58-67)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3144457.3144501
Ilarri SHermoso RTrillo-Lado RRodríguez-Hernández M(2016)A review of the role of sensors in mobile context-aware recommendation systemsInternational Journal of Distributed Sensor Networks10.1155/2015/4892642015(226-226)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1155/2015/489264
Zhou FJi YJiao R(2013)Affective and cognitive design for mass personalizationJournal of Intelligent Manufacturing10.1007/s10845-012-0673-224:5(1047-1069)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1007/s10845-012-0673-2
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Activity recognition for context-aware hospital applications: issues and opportunities for the deployment of pervasive networks

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cover image Mobile Networks and Applications

Mobile Networks and Applications Volume 12, Issue 2-3

March 2007

114 pages

ISSN:1383-469X

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 March 2007

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Cited By

Mathisen ASørensen SStisen ABlunck HGrønbæk KGu TKotagiri RLiu H(2017)A Study on the Impact of Indoor Positioning Performance on Activity Recognition ApplicationsProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3144457.3144501(58-67)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3144457.3144501
Ilarri SHermoso RTrillo-Lado RRodríguez-Hernández M(2016)A review of the role of sensors in mobile context-aware recommendation systemsInternational Journal of Distributed Sensor Networks10.1155/2015/4892642015(226-226)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1155/2015/489264
Zhou FJi YJiao R(2013)Affective and cognitive design for mass personalizationJournal of Intelligent Manufacturing10.1007/s10845-012-0673-224:5(1047-1069)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1007/s10845-012-0673-2
Lockhart JPulickal TWeiss GDey AChu HHayes G(2012)Applications of mobile activity recognitionProceedings of the 2012 ACM Conference on Ubiquitous Computing10.1145/2370216.2370441(1054-1058)Online publication date: 5-Sep-2012
https://dl.acm.org/doi/10.1145/2370216.2370441
Vecchia GGallo LEsposito MCoronato A(2012)An infrastructure for smart hospitalsMultimedia Tools and Applications10.1007/s11042-010-0695-859:1(341-362)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1007/s11042-010-0695-8
Parlak SMarsic IBurd RLiu YJafari RLu C(2011)Activity recognition for emergency care using RFIDProceedings of the 6th International Conference on Body Area Networks10.5555/2318776.2318787(40-46)Online publication date: 7-Nov-2011
https://dl.acm.org/doi/10.5555/2318776.2318787
Bardram JDoryab AHinds PTang JWang JBardram JDucheneaut N(2011)Activity analysisProceedings of the ACM 2011 conference on Computer supported cooperative work10.1145/1958824.1958895(455-464)Online publication date: 19-Mar-2011
https://dl.acm.org/doi/10.1145/1958824.1958895
Vinh LLee SLe HNgo HKim HHan MLee Y(2011)Semi-Markov conditional random fields for accelerometer-based activity recognitionApplied Intelligence10.1007/s10489-010-0216-535:2(226-241)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.1007/s10489-010-0216-5
Hung YChiang CHsu SChan C(2010)Abnormality detection for improving elder's daily life independentProceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics10.5555/1894439.1894465(186-194)Online publication date: 22-Jun-2010
https://dl.acm.org/doi/10.5555/1894439.1894465
Mejía DFavela JMorán A(2010)Understanding and supporting lightweight communication in hospital workIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2009.203338414:1(140-146)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1109/TITB.2009.2033384
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