IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements

Sound systems are usually evaluated by means of subjective listening tests that allow to analyze the sound perception from the listener’s point of view. In several situations and domains, listening tests can be expensive and complex to arrange, and different variables may influence their reliability, such as ambiguous terminology or contextual biases. To help mitigate these aspects, an analysis of subjective sound quality perception enabled by an Internet of Things - based approach is presented in this paper, exploiting the out-of-lab measurement of physiological parameters by means of a wearable device. In particular, a possible correlation between the subjective assessment of perceived sound quality and the variations of the Inter Beat Interval (IBI) in the cardiac activity of the listeners is analyzed, reporting the measurements performed by a wrist-worn device.