User Authentication Method for Hearables Using Sound Leakage Signals
2023
雨坂宇宙，渡邉拓貴，杉本雅則，杉浦裕太，志築文太郎
Takashi Amesaka, Hiroki Watanabe, Masanori Sugimoto, Yuta Sugirua, Buntarou Shizuki
[Reference /引用はこちら]
Takashi Amesaka, Hiroki Watanabe, Masanori Sugimoto, Yuta Sugirua, and Buntarou Shizuki. User Authentication Method for Hearables Using Sound Leakage Signals, In Proceedings of ISWC 2023, Cancun, Quintana Roo, Mexico, 2023. [DOI]
本論文では，ヒアラブルデバイスからの音漏れ信号を利用した新しい生体認証手法を提案する．音漏れ信号は，外耳道，耳介，手の音響特性を示し，ユーザによって異なる．提案手法は，スピーカーと外部マイクによる実装が可能であるためヒアラブルデバイスへの適応性が高い．また，耳介の生体特性を新たに取得しているため，既存手法と組み合わせて利用できる可能性がある．本研究では，物理モデルを用いて音漏れ信号の特性を調べ，プロトタイプデバイスを用いて16人のデータを測定し提案手法の認証性能を調査した．実験の結果，安定環境・ノイズ環境・歩行環境のBACスコアが87.0%～96.7%の範囲にあることが示された．
We propose a novel biometric authentication method that leverages sound leakage signals from hearables that are captured by an external microphone. A sweep signal is played from hearables, and sound leakage is recorded using an external microphone. This sound leakage signal represents the acoustic characteristics of the ear canal, auricle, or hand. Then, our system analyzes the echoes and authenticates the user. The proposed method is highly adaptable to hearables because it leverages widely available sensors, such as speakers and external microphones. In addition, the proposed method has the potential to be used in combination with existing methods. In this study, we investigate the characteristics of sound leakage signals using an experimental model and measure the authentication performance of our method using acoustic data from 16 people. The results show that the balanced accuracy (BAC) scores were in the range of 87.0%-96.7% in several scenarios.