Enhancing music events using physiological sensor data

Thomas Röggla, Najereh Shirzadian, Zhiyuan Zheng, Alice Panza, Pablo Cesar

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)


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 a collaborative artwork to enhance people's immersion into cultural events.

Original languageEnglish
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450349062
Publication statusPublished - 23 Oct 2017
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: 23 Oct 201727 Oct 2017


Conference25th ACM International Conference on Multimedia, MM 2017
Country/TerritoryUnited States
CityMountain View


  • Cultural experiences
  • Data visualisation
  • GSR
  • Interactive art
  • Sensors
  • Shared experiences


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