@techreport{oai:ipsj.ixsq.nii.ac.jp:00220281,
 author = {川崎, 陽平 and 杉浦, 裕太 and Yohei, Kawasaki and Yuta, Sugiura},
 issue = {17},
 month = {Sep},
 note = {In this study, we propose a personal identification and authentication system that utilizes differences in the acoustic characteristics of the clavicle between individuals. A transducer and a microphone were attached to each shoulder, and a sweep signal generated by the transducer was propagated through the clavicle and measured by the microphone. Fast Fourier transform and Mel filter bank processing were applied to the measured data, and Mel frequency cepstrum coefficients were extracted and used as features. The generalization performance of the model was evaluated by 10-fold cross-validation using the correct response rate for personal identification and the equal error rate for personal authentication as evaluation indices., In this study, we propose a personal identification and authentication system that utilizes differences in the acoustic characteristics of the clavicle between individuals. A transducer and a microphone were attached to each shoulder, and a sweep signal generated by the transducer was propagated through the clavicle and measured by the microphone. Fast Fourier transform and Mel filter bank processing were applied to the measured data, and Mel frequency cepstrum coefficients were extracted and used as features. The generalization performance of the model was evaluated by 10-fold cross-validation using the correct response rate for personal identification and the equal error rate for personal authentication as evaluation indices.},
 title = {鎖骨の音響特性を利用した個人識別・認証システム},
 year = {2022}
}