Home // IARIA Congress 2023, The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

An Exercise Recommendation System While Performing Daily Activities Based on Contextual Information

Authors:
Mizuki Kobayashi
Kaori Fujinami

Keywords: recommendation system; context-awareness; wearable sensors; exercise; daily activities.

Abstract:
Although exercise has positive physical and mental effects, many people worldwide are inactive, and this trend has not improved over the years. One reason for not increasing opportunities for exercise is that people are busy with work and household chores. Thus, we propose incorporating light exercise into daily activities to help people develop exercise habits. In this study, we present an exercise recommendation method based on the contextual information of the user and environment. The results of the offline and online evaluations showed that the recommendation was successfully performed according to the given context and that more than 80 % of the participants judged the recommended exercises as appropriate.

Pages: 188 to 195

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISBN: 978-1-68558-089-6

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023