Adaptive prompting based on petri net in a smart medication system

Lei Tant; Xingshe Zhou; Zhiwen Yu; Daqing Zhang; Hongbo Ni

doi:10.1109/PERCOMW.2010.5470646

Adaptive prompting based on petri net in a smart medication system

Lei Tant
, Xingshe Zhou
, Zhiwen Yu
, Daqing Zhang
, Hongbo Ni

Northwestern Polytechnical University

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way.

langue originale	Anglais
titre	2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Editeur	IEEE Computer Society
Pages	328-333
Nombre de pages	6
ISBN (imprimé)	9781424466054
Les DOIs	https://doi.org/10.1109/PERCOMW.2010.5470646
état	Publié - 1 janv. 2010
Evénement	8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 - Mannheim, Allemagne Durée: 29 mars 2010 → 2 avr. 2010

Série de publications

Nom	2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010

Une conférence

Une conférence	8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Pays/Territoire	Allemagne
La ville	Mannheim
période	29/03/10 → 2/04/10

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 3 Bonne santé et bien-être

Accès au document

10.1109/PERCOMW.2010.5470646

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Contient cette citation

Tant, L., Zhou, X., Yu, Z., Zhang, D., & Ni, H. (2010). Adaptive prompting based on petri net in a smart medication system. Dans 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 (p. 328-333). Article 5470646 (2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010). IEEE Computer Society. https://doi.org/10.1109/PERCOMW.2010.5470646

Tant, Lei ; Zhou, Xingshe ; Yu, Zhiwen et al. / Adaptive prompting based on petri net in a smart medication system. 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010. IEEE Computer Society, 2010. p. 328-333 (2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010).

@inproceedings{a27a5847df284e5da972ba442099de3b,

title = "Adaptive prompting based on petri net in a smart medication system",

abstract = "We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way.",

keywords = "Adaptive prompting, Medication, Petri Net, Ubiquitous computing",

author = "Lei Tant and Xingshe Zhou and Zhiwen Yu and Daqing Zhang and Hongbo Ni",

year = "2010",

month = jan,

day = "1",

doi = "10.1109/PERCOMW.2010.5470646",

language = "English",

isbn = "9781424466054",

series = "2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010",

publisher = "IEEE Computer Society",

pages = "328--333",

booktitle = "2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010",

note = "8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 ; Conference date: 29-03-2010 Through 02-04-2010",

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Tant, L, Zhou, X, Yu, Z, Zhang, D & Ni, H 2010, Adaptive prompting based on petri net in a smart medication system. Dans 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010., 5470646, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010, IEEE Computer Society, p. 328-333, 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010, Mannheim, Allemagne, 29/03/10. https://doi.org/10.1109/PERCOMW.2010.5470646

Adaptive prompting based on petri net in a smart medication system. / Tant, Lei; Zhou, Xingshe; Yu, Zhiwen et al.
2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010. IEEE Computer Society, 2010. p. 328-333 5470646 (2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

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AU - Tant, Lei

AU - Zhou, Xingshe

AU - Yu, Zhiwen

AU - Zhang, Daqing

AU - Ni, Hongbo

PY - 2010/1/1

Y1 - 2010/1/1

N2 - We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way.

AB - We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way.

KW - Adaptive prompting

KW - Medication

KW - Petri Net

KW - Ubiquitous computing

UR - https://www.scopus.com/pages/publications/77954005533

U2 - 10.1109/PERCOMW.2010.5470646

DO - 10.1109/PERCOMW.2010.5470646

M3 - Conference contribution

AN - SCOPUS:77954005533

SN - 9781424466054

T3 - 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010

SP - 328

EP - 333

BT - 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010

PB - IEEE Computer Society

T2 - 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010

Y2 - 29 March 2010 through 2 April 2010

ER -

Tant L, Zhou X, Yu Z, Zhang D, Ni H. Adaptive prompting based on petri net in a smart medication system. Dans 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010. IEEE Computer Society. 2010. p. 328-333. 5470646. (2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010). doi: 10.1109/PERCOMW.2010.5470646

Adaptive prompting based on petri net in a smart medication system

Résumé

Série de publications

Une conférence

SDG des Nations Unies

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