Enhancing Music Events Using Physiological Sensor Data
Thomas Röggla, Najereh Shirzadian, Zhiyuan Zheng, Alice Panza, Pablo S. Cesar · 2017
This demo showcases a real-time visualisation displaying the level of engagement of a group of people attending a Jazz concert. Based on wearable sensor technology and machine learning principles, we present how this visualisation for enhancing events was developed following a user-centric approach. We describe the process of running an experiment using our custom physiological sensor platform, gathering requirements for the visualisation and finally implementing said visualisation. The end result being collaborative artwork to enhance people's immersion into cultural events.