Person-identification Methodusing Active Acoustic Sensing Applied to Nose

Abstract

In smart glasses and head-mounted displays, the home screen is displayed without user authentication after the power is turned on. While using such eyeglass-type devices, one may be asked to enter passwords when logging in to applications or making payments, and it is common to use the attached touchpad or handheld controller to enter information from the software keyboard on the screen. We propose a method of automatically and periodically identifying individuals by applying active acoustic sensing technology with a speaker and microphone mounted on the nose pads of eye-glass-type devices. We conducted an experiment involving 11 participants to evaluate the effectiveness of the proposed method.