ロペズ ギヨーム   LOPEZ, Guillaume   Guillaume LOPEZ    所属   青山学院大学  理工学部 情報テクノロジー学科    職種   教授
言語種別	英語
発行・発表の年月	2020/02
形態種別	学術雑誌
査読	査読あり
標題	The Influence of Person-specific Biometrics in Improving Generic Stress Predictive Models
執筆形態	共同
掲載誌名	Sensors and Materials
出版社・発行元	MYU K.K.
巻・号・頁	32(2(2)),pp.703-722
著者・共著者	Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez
概要	Because stress is subjective and is expressed differently from one person to another, generic stress prediction models (i.e., models that predict the stress of any person) perform crudely. Only person-specific models (i.e., ones that predict the stress of a preordained person) yield reliable predictions, but they are not adaptable and are costly to deploy in realworld environments. For illustration, in an office environment, a stress monitoring system that uses person-specific models would require the collection of new data and the training of a new model for every employee. Moreover, once deployed, the models would deteriorate and need expensive periodic upgrades because stress is dynamic and depends on unforeseeable factors. We propose a simple, yet practical and cost-effective calibration technique that derives an accurate and personalized stress prediction model from physiological samples collected from a large population.
DOI	10.18494/SAM.2020.2650
ISSN	2435-0869