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

• Main Authors: FERLINI, Andrea, MA, Dong, MASCOLO, Cecilia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Human-centered computing; Ubiquitous and mobile computing systems and tools; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6990; https://ink.library.smu.edu.sg/context/sis_research/article/7993/viewcontent/3447993.3483240.pdf
• Institution: Singapore Management University

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-...