Design of physical activity recommendation system

Ashkan Sami, Ryoichi Nagatomi, Masahiro Terabe, Kazuo Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationMCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of Informatics 2008 and Data Mining 2008
Pages148-152
Number of pages5
Publication statusPublished - 2008 Dec 1
Externally publishedYes
EventInformatics 2008 and Data Mining 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems - Amsterdam, Netherlands
Duration: 2008 Jul 222008 Jul 27

Publication series

NameMCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of Informatics 2008 and Data Mining 2008

Conference

ConferenceInformatics 2008 and Data Mining 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems
CountryNetherlands
CityAmsterdam
Period08/7/2208/7/27

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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