MusicID: A Brainwave-Based User Authentication System for Internet of Things

We propose MusicID, an authentication solution for smart devices that uses music-induced brainwave patterns as a behavioral biometric modality. experimentally evaluate MusicID using data collected from real users whilst they are listening to two forms of music: 1) popular English song and 2) individual's favorite song. show accuracy over 98% user identification 97% verification can be achieved by 4-electrode commodity headset. further single electrode is able provide approximately 85% the use electrodes provides 95%. As already shown brain-sensing headsets meditation applications, we believe, including dry electroencephalogram in feasible has potential providing entry point continuous framework upcoming surge mainly driven augmented reality (AR)/virtual (VR) applications.