Enhancing music events using physiological sensor data

None, None; None, None; None, None; None, None; None, None

Enhancing music events using physiological sensor data

Conference Paper (2017)

Author(s)

Thomas Röggla (Centrum Wiskunde & Informatica (CWI))

Najereh Shirzadian (Centrum Wiskunde & Informatica (CWI))

Zhiyuan Zheng (Centrum Wiskunde & Informatica (CWI))

Alice Panza (Centrum Wiskunde & Informatica (CWI))

Pablo Cesar (Multimedia Computing)

Sensors GSR Cultural experiences Interactive art Shared experiences Data visualisation

DOI related publication

https://doi.org/10.1145/3123266.3127919 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:1f6fe360-840b-46ac-ae97-af394ce6b1eb

More Info

expand_more

Publication Year

2017

Language

English

Pages (from-to)

1239-1240

ISBN (electronic)

9781450349062

Event

25th ACM International Conference on Multimedia, MM 2017 (2017-10-23 - 2017-10-27), Mountain View, United States

Downloads counter

166

Abstract

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.