Towards Holistic Activity Modeling and Behavioral Analyses
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|Title:||Towards Holistic Activity Modeling and Behavioral Analyses||Authors:||Wan, Jie
O'Grady, Michael J.
O'Hare, G. M. P. (Greg M. P.)
|Permanent link:||http://hdl.handle.net/10197/3788||Date:||18-Jun-2012||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Keywords:||Activity modeling;Ambient assisted living||Subject LCSH:||Human activity recognition--Data processing
Wireless sensor networks
Technology and older people
|Language:||en||Status of Item:||Peer reviewed||Conference Details:||6th International workshop on Ubiquitous health and wellness (UbiHealth 2012), in the Pervasive 2012 Conference, Newcastle UK|
|Appears in Collections:||CLARITY Research Collection|
Computer Science Research Collection
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