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IEICE TRANSACTIONS on Information

Walking Route Recommender for Supporting a Walk as Health Promotion

Yasufumi TAKAMA, Wataru SASAKI, Takafumi OKUMURA, Chi-Chih YU, Lieu-Hen CHEN, Hiroshi ISHIKAWA

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Summary :

This paper proposes a walking route recommender system aiming at continuously supporting a user to take a walk as means for health promotion. In recent years, taking a walk becomes popular with not only the elderly, but also those from all ages as one of the easiest ways for health promotion. From the viewpoint of health promotion, it is desirable to take a walk as daily exercise. However, walking is very simple activity, which makes it difficult for people to maintain their motivation. Although using an activity monitor is expected to improve the motivation for taking a walk as daily exercise, it forces users to manage their activities by themselves. The proposed system solves such a problem by recommending a walking route that can consume target calories. When a system is to be used for long period of time for supporting user's daily exercise, it should consider the case when a user will not follow the recommended route. It would cause a gap between consumed and target calories. We think this problem becomes serious when a user gradually gets bored with taking a walk during a long period of time. In order to solve the problem, the proposed method implicitly manages calories on monthly basis and recommends walking routes that could keep a user from getting bored. The effectiveness of the recommendation algorithm is evaluated with agent simulation. As another important factor for walking support, this paper also proposes a navigation interface that presents direction to the next visiting point without using a map. As users do not have to continuously focus on the interface, it is not only useful for their safety, but also gives them room to enjoy the landscape. The interface is evaluated by an experiment with test participants.

Publication
IEICE TRANSACTIONS on Information Vol.E100-D No.4 pp.671-681
Publication Date
2017/04/01
Publicized
2017/01/17
Online ISSN
1745-1361
DOI
10.1587/transinf.2016DAP0006
Type of Manuscript
Special Section PAPER (Special Section on Data Engineering and Information Management)
Category

Authors

Yasufumi TAKAMA
  Tokyo Metropolitan University
Wataru SASAKI
  Tokyo Metropolitan University
Takafumi OKUMURA
  Tokyo Metropolitan University
Chi-Chih YU
  Tokyo Metropolitan University
Lieu-Hen CHEN
  National Chi Nan University
Hiroshi ISHIKAWA
  Tokyo Metropolitan University

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