タカハシ　ヒデユキ   Hideyuki Takahashi   高橋　英之    所属   追手門学院大学  理工学部 情報工学科    職種   准教授
言語種別	英語
発行・発表の年月	2025/01/02
形態種別	論文
標題	Sounds like gambling: detection of gambling venue visitation from sounds in gamblers' environments using a transformer.
執筆形態	共著・編著（代表編著を除く）
掲載誌名	Scientific reports
掲載区分	国外
巻・号・頁	15(1),pp.340-340
著者・共著者	Kenji Yokotani,Tetsuya Yamamoto,Hideyuki Takahashi,Masahiro Takamura,Nobuhito Abe
概要	Objective digital measurement of gamblers visiting gambling venues is conducted using cashless cards and facial recognition systems, but these methods are confined within a single gambling venue. Hence, we propose an objective digital measurement method using a transformer, a state-of-the-art machine learning approach, to detect total gambling venue visitations for gamblers who visit multiple gambling venues using sounds in gamblers' environments. We sampled gambling and nongambling event datasets from websites to create a gambling play classifier. We also sampled gambling and nongambling location datasets for a gambling location detector. Further, we sampled practical dataset with four different recording conditions and two different recording devices. Our Swin transformer model with 54 classes (4 gambling play classes and 50 nongambling event classes) achieved highest accuracy (0.801). The gambling location detector of the Swin transformer also achieved high performance; the areas under the receiver operating characteristic curves (AUCs) for bingo, mahjong, pachinko, and electronic gambling machine plays were 0.845, 0.780, 0.826, and 0.833, respectively. Moreover, gambling visitation detector of the Swin transformer showed high performance especially in Pachinko (AUCs 0.972-0.715) regardless of their recording conditions and devices. These preliminary findings highlight the potential of environmental sounds to detect visits to gambling venues.
DOI	10.1038/s41598-024-83389-1
PMID	39747375