Titlebook: Emotional Engineering, Vol. 9; Move Ahead Toward Se Shuichi Fukuda Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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Promoting Data Science in Mechanical Engineering Research and Education: An Exploration of the Hack was held from August 15–16 as a pre-conference event of the ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), and the second was held from November 14–15 at the International Mechanical Engineering Congress and Exposi

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Instinctive Access and Emotional Benefit Sharing,uch a fact that “FinTech (Financial Technology)” is emerging demonstrates that we are moving from quantitative, objective, and tactics-based to quantitative, subjective, and strategic-based. In short, we are shifting from “Problem Solving or How” to “Goal Finding, Decision Making or What”. “Monetary

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Practical Life Science to Understand and Utilize Your Own Body in which Cells Dynamically Respond ttheory. BODY-MIND INTEGRATIVE SCIENCE is a new theory for living longer in an aging society and is the hope of humanity. I will introduce a new way of thinking and practicing thinking about selfhood and humanity in order to activate the cellular systems that live in an activity-dependent manner in o

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Cognitive Neuroscience for Design,search field that aims to decompose human cognition and behavior as information processing processes and understand these processes, including the brain’s mechanisms, which are the biological basis of human cognition and behavior. In this field, the recent development of functional magnetic resonanc

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,Information Theoretic Emotions—A Mathematical Framework of Emotion Potential Caused by Complexity aterior). Novelty, uncertainty, and complexity all act as factors that form the arousal potential. An aesthetic evaluation experiment using profile shapes supports the model hypothesis that the summation of novelty and complexity determines the inverse U-shaped beauty function. A discussion on the po

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Application of Machine Learning Technology to Gait Analysis and Training,his method. In this chapter, we discuss previous studies on the gait information feedback training system. We describe basic knowledge and the development of technology regarding a neural network, which is a representative machine learning method, and discuss previous studies on machine learning for