International Symposium on Affective Science and Engineering
Online ISSN : 2433-5428
ISASE2024
セッションID: PM-2B-04
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Affective Science & Engineering 2
Method for Proposing Optimal Exercise Timing using Recommendation System
Hiroyuki SAKANOHiroyuki SakanoEmi YUDA
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In this study, a recommendation system was constructed based on exercise questionnaires of 100 subjects (20-80 yo) using the ForecastFlow system (GRI Incorporated, Japan). The questionnaire was created using Google Forms, and a simulation model and prediction algorithm were developed to predict exercise withdrawal and recommend optimal timing. Results showed that the recommendation system is applicable to various health conditions and age groups, but on the other hand, revealed concerns about the extensive search space before sufficient data has been accumulated

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© 2024 Japan Society of Kansei Engineering
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