Software architecture support for biofeedback based in-flight music systems

Abstract

In this paper, we present a software architecture support for biofeedback in-flight music systems to promote stress free air travels. Once the passenger sits in a seat of a flight, his/her bio signals are acquired via non intrusive sensors embedded in the seat and then are modeled into stress states. If the passenger is in a stress state, the system recommends a personalized stress reduction music playlist to the passenger to transfer him/her from the current stress state to the target comfort state; if the passenger is not in a stress state, the system recommends a personalized non stress induction music playlist to keep him/her at the comfort state. If the passenger does not accept the recommendation, he/she can browse the in-flight music system and select preferred music himself/herself.