Cited By
View all- Dawadi PCook DSchmitter-Edgecombe M(2016)Modeling patterns of activities using activity curvesPervasive and Mobile Computing10.5555/2938785.293889328:C(51-68)Online publication date: 1-Jun-2016
Identifying and visualizing relevant deviations in longitudinal sensor patterns for care professionals
Pages 416 - 419
Abstract
Sensor technology is increasingly applied for the purpose of monitoring elderly's Activities of Daily Living (ADL), a set of activities used by physicians to benchmark physical and cognitive decline. Visualizing deviations in ADL can help medical specialists and nurses to recognize disease symptoms at an early stage. This paper presents possible visualizations for identifying such deviations. These visualizations have been iteratively explored and developed with three different medical specialists to better understand which deviations are relevant according to the different medical specialisms and explore how these deviations should be best presented. The study results suggest that the participants found a monthly bar graph in which activities are represented by colours as the most suitable from the ones presented. Although the visualizations of every ADL was found to be more or less relevant by the different medical specialists, the preference for focusing on specific ADL's varied from specialist to specialist.
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Published In
May 2013
483 pages
ISBN:9781936968800
- General Chairs:
- Mary Czerwinski,
- Oscar Mayora,
- Program Chairs:
- Paul Lukowicz,
- Andrew T. Campbell,
- Venet Osmani
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- IEEE
- EAI: The European Alliance for Innovation
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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Brussels, Belgium
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Published: 05 May 2013
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PervasiveHealth '13
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PervasiveHealth '13: 7th International Conference on Pervasive Computing Technologies for Healthcare
May 5 - 8, 2013
Venice, Italy
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Cited By
View all- Dawadi PCook DSchmitter-Edgecombe M(2016)Modeling patterns of activities using activity curvesPervasive and Mobile Computing10.5555/2938785.293889328:C(51-68)Online publication date: 1-Jun-2016
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