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Title:
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DESIGN OF PHYSICAL ACTIVITY RECOMMENDATION SYSTEM |
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Author(s):
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Ashkan Sami , Ryoichi Nagatomi , Masahiro Terabe , Kazuo Hashimoto |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Type:
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Short Paper |
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First Page:
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148 |
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Last Page:
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152 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Leisure-time physical activity (LTPA) has been shown to be an effective way of preventing diseases. However 50% of
the people who start any type of sports or LTPA drop out of the program within 6 months. Even though a lot of research
on exercise adherence has been performed, no common consensus on all the leading factors to adherence exists. Cultural
differences make studies in other countries not suitable for Japan. In this paper we present designs of recommender
systems to recommend LTPA to adults. Due to complexities of problem domain and vast number of possible LTPA, first
we assume people with similar lifestyle may follow each other better than others as far as exercise is concerned. Based
on lifestyle data in complete health check-ups (Ningendoku) that is performed in Japan, we find similar people. In
addition, based on expertise and detailed information of different sports and activities we build ontology trees and tables
for different attributes of LTPA, these ontologies are used to calculate distances of different LTPA. Health-care
professionals in preliminary discussion showed a lot of interest on our system. |
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