Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition

William Van Woensel; Samina Abidi; Syed Sibte Raza Abidi

doi:10.3233/SHTI190346

Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition

William Van Woensel, Samina Abidi, Syed Sibte Raza Abidi

Medicine

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Assisted Ambient Living (AAL) focuses on self-sufficiency, assisting disabled people to perform activities of daily living (ADL) by automating assistive actions in smart environments. Importantly, AAL provides opportunities for dynamically guiding patients with a cognitive decline through an ADL. Activity recognition is a pivotal task since it allows detecting when an ADL is started by recognizing its constituent activities. When dealing cognitive decline, activity recognition should also be able to detect when activities are performed incorrectly-e.g., performed out-of-order, at the wrong location or time, or with the wrong objects (e.g., utensils)-which is nevertheless not a common goal in activity recognition. Moreover, it should be able to cope with nonuniform ways of performing the ADL that are nevertheless correct. We present a novel knowledge-driven activity recognition approach, which employs semantic reasoning to recognize both correct and incorrect actions, based on the ADL workflow as well as associated environment context.

Original language	English
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	863-867
Number of pages	5
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190346
Publication status	Published - Aug 21 2019
Event	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/Territory	France
City	Lyon
Period	8/25/19 → 8/30/19

Bibliographical note

Publisher Copyright:
© 2019 International Medical Informatics Association (IMIA) and IOS Press.

ASJC Scopus Subject Areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/SHTI190346

Cite this

Van Woensel, W., Abidi, S., & Abidi, S. S. R. (2019). Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 863-867). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190346

Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition. / Van Woensel, William; Abidi, Samina; Abidi, Syed Sibte Raza.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 863-867 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Van Woensel, W, Abidi, S & Abidi, SSR 2019, Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 863-867, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190346

Van Woensel W, Abidi S, Abidi SSR. Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 863-867. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190346

Van Woensel, William ; Abidi, Samina ; Abidi, Syed Sibte Raza. / Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 863-867 (Studies in Health Technology and Informatics).

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abstract = "Assisted Ambient Living (AAL) focuses on self-sufficiency, assisting disabled people to perform activities of daily living (ADL) by automating assistive actions in smart environments. Importantly, AAL provides opportunities for dynamically guiding patients with a cognitive decline through an ADL. Activity recognition is a pivotal task since it allows detecting when an ADL is started by recognizing its constituent activities. When dealing cognitive decline, activity recognition should also be able to detect when activities are performed incorrectly-e.g., performed out-of-order, at the wrong location or time, or with the wrong objects (e.g., utensils)-which is nevertheless not a common goal in activity recognition. Moreover, it should be able to cope with nonuniform ways of performing the ADL that are nevertheless correct. We present a novel knowledge-driven activity recognition approach, which employs semantic reasoning to recognize both correct and incorrect actions, based on the ADL workflow as well as associated environment context.",

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Proactively guiding patients through ADL via knowledge-based and context-driven activity recognition

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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