EarGate: Gait-based user identification with in-ear microphones

• المؤلفون الرئيسيون: FERLINI, Andrea, MA, Dong, MASCOLO, Cecilia
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2021
• الموضوعات: Human-centered computing; Ubiquitous and mobile computing systems and tools; Artificial Intelligence and Robotics
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/6990; https://ink.library.smu.edu.sg/context/sis_research/article/7993/viewcontent/3447993.3483240.pdf

Human gait is a widely used biometric trait for user identification and recognition. Given the wide-spreading, steady diffusion of earworn wearables (Earables) as the new frontier of wearable devices, we investigate the feasibility of earable-based gait identification. Specifically, we look at gait-...