主催: Japan Society of Kansei Engineering
会議名: The 10th International Symposium on Affective Science and Engineering
回次: 10
開催地: Online Academic Symposium, Kyushu University
開催日: 2024/03/09
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