2017-10-23
Enhancing music events using physiological sensor data
Publication
Publication
Presented at the
ACM International Conference on Multimedia (October 2017), Mountain View, CA, USA
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.
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| doi.org/10.1145/3123266.3127919 | |
| ACM International Conference on Multimedia | |
| Organisation | Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands |
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Röggla, T., Shirzadian, N., Zheng, Z., Panza, A., & César Garcia, P. S. (2017). Enhancing music events using physiological sensor data. In MM 2017 - Proceedings of the 2017 ACM Multimedia Conference (pp. 1239–1240). doi:10.1145/3123266.3127919 |
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