Abstract
In this paper, we propose a novel method for recommendation of a walking route for fitness walkers, effective for health maintenance. Recently, lifestyle-related disease has been increasing in the world. It is important for people to keep balance between the calorie intake and the calorie consumption. We focus on calorie consumption by walking. Walking is effective exercise for maintaining and promoting healthy life. It is necessary to select a walking route where calorie consumption makes effectively. We propose a method of the recommendation of the walking route which can use an effective calorie in consideration of the characteristic of the user. The method is mainly composed of two features: prediction of calorie consumption and search of an appropriate walking route. Some evaluation results of our method are also described in the paper.
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Sakon, Y., Huang, HH., Kawagoe, K. (2013). Walk Route Recommendation for Fitness Walkers Using Calorie Consumption Prediction. In: Zeng, D., et al. Smart Health. ICSH 2013. Lecture Notes in Computer Science, vol 8040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39844-5_15
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DOI: https://doi.org/10.1007/978-3-642-39844-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39843-8
Online ISBN: 978-3-642-39844-5
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