hh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Nugent, Christopher
Publications (3 of 3) Show all publications
Lundström, J., Ourique de Morais, W., Menezes, M. L., Gabrielli, C., Bentes, J., Pinheiro Sant'Anna, A., . . . Nugent, C. (2016). Halmstad intelligent home - Capabilities and opportunities. In: Mobyen Uddin AhmedShahina BegumWasim Raad (Ed.), Internet of Things Technologies for HealthCare: Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers. Paper presented at 3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016, Västerås, Sweden, 18 October 2016 through 19 October, 2016 (pp. 9-15). Berlin: Springer Berlin/Heidelberg, 187
Open this publication in new window or tab >>Halmstad intelligent home - Capabilities and opportunities
Show others...
2016 (English)In: Internet of Things Technologies for HealthCare: Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers / [ed] Mobyen Uddin AhmedShahina BegumWasim Raad, Berlin: Springer Berlin/Heidelberg, 2016, Vol. 187, p. 9-15Conference paper, Published paper (Refereed)
Abstract [en]

Research on intelligent environments, such as smart homes, concerns the mechanisms that intelligently orchestrate the pervasive technical infrastructure in the environment. However, significant challenges are to build, configure, use and maintain these systems. Providing personalized services while preserving the privacy of the occupants is also difficult. As an approach to facilitate research in this area, this paper presents the Halmstad Intelligent Home and a novel approach for multioccupancy detection utilizing the presented environment. This paper also presents initial results and ongoing work. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2016
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211 ; 187
Keywords
Intelligent environments, Multi-occupancy detection, Automation, Health care, Intelligent agents, Internet of things, Intelligent environment, Intelligent home, Occupancy detections, Personalized service, Smart homes, Technical infrastructure, Intelligent buildings
National Category
Computer and Information Sciences Computer Systems Human Aspects of ICT
Identifiers
urn:nbn:se:hh:diva-37786 (URN)10.1007/978-3-319-51234-1_2 (DOI)2-s2.0-85011263177 (Scopus ID)978-3-319-51233-4 (ISBN)
Conference
3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016, Västerås, Sweden, 18 October 2016 through 19 October, 2016
Available from: 2018-08-27 Created: 2018-08-27 Last updated: 2018-08-27Bibliographically approved
Nugent, C., Synnott, J., Gabrielli, C., Zhang, S., Espinilla, M., Calzada, A., . . . Ortiz Barrios, M. A. (2016). Improving the Quality of User Generated Data Sets for Activity Recognition. In: Garcia, CR CaballeroGil, P Burmester, M QuesadaArencibia, A (Ed.), Ubiquitous Computing and Ambient Intelligence, UCAMI 2016, PT II: . Paper presented at 10th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI), NOV 29-DEC 02, 2016, San Bartolome de Tirajana, SPAIN (pp. 104-110). Amsterdam: Springer Publishing Company
Open this publication in new window or tab >>Improving the Quality of User Generated Data Sets for Activity Recognition
Show others...
2016 (English)In: Ubiquitous Computing and Ambient Intelligence, UCAMI 2016, PT II / [ed] Garcia, CR CaballeroGil, P Burmester, M QuesadaArencibia, A, Amsterdam: Springer Publishing Company, 2016, p. 104-110Conference paper, Published paper (Refereed)
Abstract [en]

It is fully appreciated that progress in the development of data driven approaches to activity recognition are being hampered due to the lack of large scale, high quality, annotated data sets. In an effort to address this the Open Data Initiative (ODI) was conceived as a potential solution for the creation of shared resources for the collection and sharing of open data sets. As part of this process, an analysis was undertaken of datasets collected using a smart environment simulation tool. A noticeable difference was found in the first 1-2 cycles of users generating data. Further analysis demonstrated the effects that this had on the development of activity recognition models with a decrease of performance for both support vector machine and decision tree based classifiers. The outcome of the study has led to the production of a strategy to ensure an initial training phase is considered prior to full scale collection of the data.

Place, publisher, year, edition, pages
Amsterdam: Springer Publishing Company, 2016
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10070
Keywords
Activity recognition, Open data sets, Data validation, Data driven classification
National Category
Other Computer and Information Science Computer Sciences Media Engineering Computer Systems
Identifiers
urn:nbn:se:hh:diva-35659 (URN)10.1007/978-3-319-48799-1_13 (DOI)000389507400013 ()2-s2.0-85009788304 (Scopus ID)978-3-319-48799-1 (ISBN)978-3-319-48798-4 (ISBN)
Conference
10th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI), NOV 29-DEC 02, 2016, San Bartolome de Tirajana, SPAIN
Available from: 2017-12-13 Created: 2017-12-13 Last updated: 2018-01-13Bibliographically approved
Lundström, J., Synnott, J., Järpe, E. & Nugent, C. (2015). Smart Home Simulation using Avatar Control and Probabilistic Sampling. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops): . Paper presented at SmartE: Closing the Loop – The 2nd IEEE PerCom Workshop on Smart Environments, St. Louis, Missouri, USA, March 23-27, 2015 (pp. 336-341). Piscataway, NJ: IEEE Press
Open this publication in new window or tab >>Smart Home Simulation using Avatar Control and Probabilistic Sampling
2015 (English)In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), Piscataway, NJ: IEEE Press, 2015, p. 336-341Conference paper, Published paper (Refereed)
Abstract [en]

Development, testing and validation of algorithms for smart home applications are often complex, expensive and tedious processes. Research on simulation of resident activity patterns in Smart Homes is an active research area and facilitates development of algorithms of smart home applications. However, the simulation of passive infrared (PIR) sensors is often used in a static fashion by generating equidistant events while an intended occupant is within sensor proximity. This paper suggests the combination of avatar-based control and probabilistic sampling in order to increase realism of the simulated data. The number of PIR events during a time interval is assumed to be Poisson distributed and this assumption is used in the simulation of Smart Home data. Results suggest that the proposed approach increase realism of simulated data, however results also indicate that improvements could be achieved using the geometric distribution as a model for the number of PIR events during a time interval. © IEEE 2015

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2015
Keywords
Avatars, Intelligent sensors, Smart homes, Data models, Software, Conferences
National Category
Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-27741 (URN)10.1109/PERCOMW.2015.7134059 (DOI)000380510900076 ()2-s2.0-84946097507 (Scopus ID)978-1-4799-8425-1 (ISBN)
Conference
SmartE: Closing the Loop – The 2nd IEEE PerCom Workshop on Smart Environments, St. Louis, Missouri, USA, March 23-27, 2015
Projects
SA3L, CAISR
Funder
Knowledge Foundation
Note

This work was supported by the Knowledge Foundation of Sweden, Grant Number 2010/0271. Additionally, Invest Northern Ireland is acknowledged for supporting this project under the Competence Centre Program Grant RD0513853 - Connected Health Innovation Centre.

Available from: 2015-05-26 Created: 2015-02-09 Last updated: 2018-03-22Bibliographically approved
Organisations

Search in DiVA

Show all publications