Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities

Daniel Bjerring  Jørgensen; Kasper Hallenborg; Yves Demazeau

doi:10.1109/ICHI.2016.25

Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities

Daniel Bjerring Jørgensen, Kasper Hallenborg, Yves Demazeau

CNRS, LIG Laboratory

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

Abstract

In the future patients will have a more active role in strengthening and maintaining their own health. Telehealth can empower and motivate patients by giving them the chance to stay in their own homes instead of going to the hospital. A telehealth system is deployed in a patient’s home hence it will influence his or her everyday live. Therefore we believe that a telehealth system shall adapt its behavior so that it will not be a burden for the patient/resident to use. To this aim we have extended an existing telehealth platform to reason about activities of daily living in a smart home scenario. The extensions have been tested on up to three of the CASAS datasets. The extensions are two algorithms: one for understanding the resident’s everyday habits and one for predicting the resident’s next activity. The prediction algorithm correctly predicts 69.76%, 73.06%, and 65.14% in the CASAS datasets.

Originalsprog	Engelsk
Titel	Proceedings of the 2nd IEEE International Conference on Healthcare Informatics
Forlag	IEEE
Publikationsdato	2016
Sider	168-176
ISBN (Trykt)	978-1-5090-6118-1
ISBN (Elektronisk)	978-1-5090-6117-4
DOI	https://doi.org/10.1109/ICHI.2016.25
Status	Udgivet - 2016
Begivenhed	2nd IEEE International Conference on Healthcare Informatics - Chicago, USA Varighed: 4. okt. 2016 → 7. okt. 2016 Konferencens nummer: 2 http://www.ieee-ichi.org/

Konference

Konference	2nd IEEE International Conference on Healthcare Informatics
Nummer	2
Land/Område	USA
By	Chicago
Periode	04/10/2016 → 07/10/2016
Internetadresse	http://www.ieee-ichi.org/

Dokumenter og links

10.1109/ICHI.2016.25

Citationsformater

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title = "Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities",

abstract = "In the future patients will have a more active role in strengthening and maintaining their own health. Telehealth can empower and motivate patients by giving them the chance to stay in their own homes instead of going to the hospital. A telehealth system is deployed in a patient{\textquoteright}s home hence it will influence his or her everyday live. Therefore we believe that a telehealth system shall adapt its behavior so that it will not be a burden for the patient/resident to use. To this aim we have extended an existing telehealth platform to reason about activities of daily living in a smart home scenario. The extensions have been tested on up to three of the CASAS datasets. The extensions are two algorithms: one for understanding the resident{\textquoteright}s everyday habits and one for predicting the resident{\textquoteright}s next activity. The prediction algorithm correctly predicts 69.76%, 73.06%, and 65.14% in the CASAS datasets.",

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booktitle = "Proceedings of the 2nd IEEE International Conference on Healthcare Informatics",

publisher = "IEEE",

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note = "2nd IEEE International Conference on Healthcare Informatics ; Conference date: 04-10-2016 Through 07-10-2016",

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Jørgensen, DB, Hallenborg, K & Demazeau, Y 2016, Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities. i Proceedings of the 2nd IEEE International Conference on Healthcare Informatics. IEEE, s. 168-176, 2nd IEEE International Conference on Healthcare Informatics, Chicago, Illinois, USA, 04/10/2016. https://doi.org/10.1109/ICHI.2016.25

Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities. / Jørgensen, Daniel Bjerring ; Hallenborg, Kasper; Demazeau, Yves.
Proceedings of the 2nd IEEE International Conference on Healthcare Informatics. IEEE, 2016. s. 168-176.

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities

AU - Jørgensen, Daniel Bjerring

AU - Hallenborg, Kasper

AU - Demazeau, Yves

N1 - Conference code: 2

PY - 2016

Y1 - 2016

N2 - In the future patients will have a more active role in strengthening and maintaining their own health. Telehealth can empower and motivate patients by giving them the chance to stay in their own homes instead of going to the hospital. A telehealth system is deployed in a patient’s home hence it will influence his or her everyday live. Therefore we believe that a telehealth system shall adapt its behavior so that it will not be a burden for the patient/resident to use. To this aim we have extended an existing telehealth platform to reason about activities of daily living in a smart home scenario. The extensions have been tested on up to three of the CASAS datasets. The extensions are two algorithms: one for understanding the resident’s everyday habits and one for predicting the resident’s next activity. The prediction algorithm correctly predicts 69.76%, 73.06%, and 65.14% in the CASAS datasets.

AB - In the future patients will have a more active role in strengthening and maintaining their own health. Telehealth can empower and motivate patients by giving them the chance to stay in their own homes instead of going to the hospital. A telehealth system is deployed in a patient’s home hence it will influence his or her everyday live. Therefore we believe that a telehealth system shall adapt its behavior so that it will not be a burden for the patient/resident to use. To this aim we have extended an existing telehealth platform to reason about activities of daily living in a smart home scenario. The extensions have been tested on up to three of the CASAS datasets. The extensions are two algorithms: one for understanding the resident’s everyday habits and one for predicting the resident’s next activity. The prediction algorithm correctly predicts 69.76%, 73.06%, and 65.14% in the CASAS datasets.

KW - activities of daily living

KW - activity prediction

KW - ambient intelligence

KW - case-based reasoning

KW - sequential prediction algorithm

U2 - 10.1109/ICHI.2016.25

DO - 10.1109/ICHI.2016.25

M3 - Article in proceedings

SN - 978-1-5090-6118-1

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EP - 176

BT - Proceedings of the 2nd IEEE International Conference on Healthcare Informatics

PB - IEEE

T2 - 2nd IEEE International Conference on Healthcare Informatics

Y2 - 4 October 2016 through 7 October 2016

ER -

Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities

Abstract

Konference

Dokumenter og links

Fingeraftryk

Citationsformater