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Towards Holistic Activity Modeling and Behavioral Analyses
Date Issued
2012-06-18
Date Available
2012-09-05T15:28:17Z
Abstract
As the age profile of many societies continues to increase,
supporting health, both mental and physical, is of increasing importance
if independent living is to be maintained. Sensing and, ultimately, recognizing
activities of daily living has been perceived as a prerequisite
for detecting tasks that people avoid or find increasingly difficult to perform,
as well as being indicators of certain illnesses. To date, extensive
research efforts have been made on activity monitoring, recognition and
assistance in indoor scenarios, frequently through smart home initiatives.
However, the scenarios outside of the home have not received a similar
degree of attention from the research community. This paper advocates
a need for platforms that enable activity recognition in a range of environments,
thus enabling the construction of more complex yet realistic
activity models and behavior patterns. The design of a prototype supporting
an integrated approach to sensor data capture and activity model
construction is proposed. The application domain is that of dementia.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Subject – LCSH
Human activity recognition--Data processing
Wireless sensor networks
Technology and older people
Language
English
Status of Item
Peer reviewed
Conference Details
6th International workshop on Ubiquitous health and wellness (UbiHealth 2012), in the Pervasive 2012 Conference, Newcastle UK
This item is made available under a Creative Commons License
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