Mina Sano. Advancement of Discrimination Accuracy of Musical Development Degree Utilizing Machine Learning with Optimized Feature Quantities Extracted from Simultaneous Analysis of Both Eye Movement and Body Movement During Musical Expression in Early Childhood. Advances in Social Sciences and Management, HeadStart Network for Education and Research, UK. 2024. 2. 10. 53-69
Mina Sano. Choosing efficient eye and body movement feature to enhance machine learning prediction of musical attainment. 2024. 191-201
Mina SANO. The Characteristics of the Recognition of Musical Elements in the Different Childcare Forms : Based on the Results of the Music Test Carried out in Four Nursery Schools. 2016. 6. 145-156
Mina SANO. Quantitative Analysis concerning the Movement Elements of Musical Expression in Early Childhood Utilizing Motion Capture. 2016. 6. 133-143
Choosing efficient eye and body movement feature to enhance machine learning prediction of musical attainment
(The 36th World Conference for the International Society for Music Education, Helsinki, abstract book 2024)
Optimizing feature quantities of eye movement and body movement in musical expression in early childhood
(The 36th World Conference for the International Society for Music Education, Helsinki 2024)
The Pacific Early Childhood Education Research Association
, International Society for Music Education
, 日本学校音楽教育実践学会
, 日本音楽教育学会
, 日本乳幼児教育学会
, 日本教育方法学会
, 日本保育学会