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A multi-modal sensor infrastructure for healthcare in a residential environment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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A multi-modal sensor infrastructure for healthcare in a residential environment. / Woznowski, Pete; Fafoutis, Xenofon; Song, Terence; Hannuna, Sion; Camplani, Massimo; Tao, Lili; Paiement, Adeline; Mellios, Evangelos; Haghighi, Mo; Zhu, Ni; Hilton, Geoffrey; Damen (Aldamen), Dima; Burghardt, Tilo; Mirmehdi, Majid; Piechocki, Robert; Kaleshi, Dritan; Craddock, Ian.

2015 IEEE International Conference on Communication Workshop, ICCW 2015. Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 271-277 7247190 (ICCW).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Woznowski, P, Fafoutis, X, Song, T, Hannuna, S, Camplani, M, Tao, L, Paiement, A, Mellios, E, Haghighi, M, Zhu, N, Hilton, G, Damen (Aldamen), D, Burghardt, T, Mirmehdi, M, Piechocki, R, Kaleshi, D & Craddock, I 2015, A multi-modal sensor infrastructure for healthcare in a residential environment. in 2015 IEEE International Conference on Communication Workshop, ICCW 2015., 7247190, ICCW, Institute of Electrical and Electronics Engineers (IEEE), pp. 271-277, IEEE International Conference on Communication Workshop, ICCW 2015, London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICCW.2015.7247190

APA

Woznowski, P., Fafoutis, X., Song, T., Hannuna, S., Camplani, M., Tao, L., ... Craddock, I. (2015). A multi-modal sensor infrastructure for healthcare in a residential environment. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015 (pp. 271-277). [7247190] (ICCW). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCW.2015.7247190

Vancouver

Woznowski P, Fafoutis X, Song T, Hannuna S, Camplani M, Tao L et al. A multi-modal sensor infrastructure for healthcare in a residential environment. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015. Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 271-277. 7247190. (ICCW). https://doi.org/10.1109/ICCW.2015.7247190

Author

Woznowski, Pete ; Fafoutis, Xenofon ; Song, Terence ; Hannuna, Sion ; Camplani, Massimo ; Tao, Lili ; Paiement, Adeline ; Mellios, Evangelos ; Haghighi, Mo ; Zhu, Ni ; Hilton, Geoffrey ; Damen (Aldamen), Dima ; Burghardt, Tilo ; Mirmehdi, Majid ; Piechocki, Robert ; Kaleshi, Dritan ; Craddock, Ian. / A multi-modal sensor infrastructure for healthcare in a residential environment. 2015 IEEE International Conference on Communication Workshop, ICCW 2015. Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 271-277 (ICCW).

Bibtex

@inproceedings{c229ce4f908e487ab75a838a94dd580c,
title = "A multi-modal sensor infrastructure for healthcare in a residential environment",
abstract = "Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient space - one that is not only capable of assisting people with diverse medical conditions, but can also recognise the habits of healthy habitants, as well as those with developing medical conditions. The recognition of Activities of Daily Living (ADL) is key to the understanding and provisioning of appropriate and efficient care. However, ADL recognition is particularly difficult to achieve in multi-resident spaces; especially with single-mode (albeit carefully crafted) solutions, which only have limited capabilities. To address these limitations we propose a multi-modal system architecture for AAL remote healthcare monitoring in the home, gathering information from multiple, diverse (sensor) data sources. In this paper we report on developments made to-date in various technical areas with respect to critical issues such as cost, power consumption, scalability, interoperability and privacy.",
keywords = "Ambient Assisted Living, Ambient Intelligence, eHealth, Internet of Things",
author = "Pete Woznowski and Xenofon Fafoutis and Terence Song and Sion Hannuna and Massimo Camplani and Lili Tao and Adeline Paiement and Evangelos Mellios and Mo Haghighi and Ni Zhu and Geoffrey Hilton and {Damen (Aldamen)}, Dima and Tilo Burghardt and Majid Mirmehdi and Robert Piechocki and Dritan Kaleshi and Ian Craddock",
year = "2015",
month = "9",
day = "14",
doi = "10.1109/ICCW.2015.7247190",
language = "English",
isbn = "9781467363051",
series = "ICCW",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "271--277",
booktitle = "2015 IEEE International Conference on Communication Workshop, ICCW 2015",
address = "United States",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - A multi-modal sensor infrastructure for healthcare in a residential environment

AU - Woznowski, Pete

AU - Fafoutis, Xenofon

AU - Song, Terence

AU - Hannuna, Sion

AU - Camplani, Massimo

AU - Tao, Lili

AU - Paiement, Adeline

AU - Mellios, Evangelos

AU - Haghighi, Mo

AU - Zhu, Ni

AU - Hilton, Geoffrey

AU - Damen (Aldamen), Dima

AU - Burghardt, Tilo

AU - Mirmehdi, Majid

AU - Piechocki, Robert

AU - Kaleshi, Dritan

AU - Craddock, Ian

PY - 2015/9/14

Y1 - 2015/9/14

N2 - Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient space - one that is not only capable of assisting people with diverse medical conditions, but can also recognise the habits of healthy habitants, as well as those with developing medical conditions. The recognition of Activities of Daily Living (ADL) is key to the understanding and provisioning of appropriate and efficient care. However, ADL recognition is particularly difficult to achieve in multi-resident spaces; especially with single-mode (albeit carefully crafted) solutions, which only have limited capabilities. To address these limitations we propose a multi-modal system architecture for AAL remote healthcare monitoring in the home, gathering information from multiple, diverse (sensor) data sources. In this paper we report on developments made to-date in various technical areas with respect to critical issues such as cost, power consumption, scalability, interoperability and privacy.

AB - Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient space - one that is not only capable of assisting people with diverse medical conditions, but can also recognise the habits of healthy habitants, as well as those with developing medical conditions. The recognition of Activities of Daily Living (ADL) is key to the understanding and provisioning of appropriate and efficient care. However, ADL recognition is particularly difficult to achieve in multi-resident spaces; especially with single-mode (albeit carefully crafted) solutions, which only have limited capabilities. To address these limitations we propose a multi-modal system architecture for AAL remote healthcare monitoring in the home, gathering information from multiple, diverse (sensor) data sources. In this paper we report on developments made to-date in various technical areas with respect to critical issues such as cost, power consumption, scalability, interoperability and privacy.

KW - Ambient Assisted Living

KW - Ambient Intelligence

KW - eHealth

KW - Internet of Things

UR - http://www.scopus.com/inward/record.url?scp=84947758787&partnerID=8YFLogxK

U2 - 10.1109/ICCW.2015.7247190

DO - 10.1109/ICCW.2015.7247190

M3 - Conference contribution

SN - 9781467363051

T3 - ICCW

SP - 271

EP - 277

BT - 2015 IEEE International Conference on Communication Workshop, ICCW 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -