Enhancing music events using physiological sensor data

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

doi:10.1145/3123266.3127919

Enhancing music events using physiological sensor data

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

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	MM 2017 - Proceedings of the 2017 ACM Multimedia Conference
Publisher	Association for Computing Machinery (ACM)
Pages	1239-1240
Number of pages	2
ISBN (Electronic)	9781450349062
DOIs	https://doi.org/10.1145/3123266.3127919
Publication status	Published - 23 Oct 2017
Event	25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States Duration: 23 Oct 2017 → 27 Oct 2017

Conference

Conference	25th ACM International Conference on Multimedia, MM 2017
Country/Territory	United States
City	Mountain View
Period	23/10/17 → 27/10/17

Keywords

Cultural experiences
Data visualisation
GSR
Interactive art
Sensors
Shared experiences

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10.1145/3123266.3127919

Cite this

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title = "Enhancing music events using physiological sensor data",

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.",

keywords = "Cultural experiences, Data visualisation, GSR, Interactive art, Sensors, Shared experiences",

author = "Thomas R{\"o}ggla and Najereh Shirzadian and Zhiyuan Zheng and Alice Panza and Pablo Cesar",

year = "2017",

month = oct,

day = "23",

doi = "10.1145/3123266.3127919",

language = "English",

pages = "1239--1240",

booktitle = "MM 2017 - Proceedings of the 2017 ACM Multimedia Conference",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "25th ACM International Conference on Multimedia, MM 2017 ; Conference date: 23-10-2017 Through 27-10-2017",

}

Röggla, T, Shirzadian, N, Zheng, Z, Panza, A & Cesar, P 2017, Enhancing music events using physiological sensor data. in MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Association for Computing Machinery (ACM), pp. 1239-1240, 25th ACM International Conference on Multimedia, MM 2017, Mountain View, United States, 23/10/17. https://doi.org/10.1145/3123266.3127919

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AU - Röggla, Thomas

AU - Shirzadian, Najereh

AU - Zheng, Zhiyuan

AU - Panza, Alice

AU - Cesar, Pablo

PY - 2017/10/23

Y1 - 2017/10/23

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AB - 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.

KW - Cultural experiences

KW - Data visualisation

KW - GSR

KW - Interactive art

KW - Sensors

KW - Shared experiences

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M3 - Conference contribution

AN - SCOPUS:85035236845

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BT - MM 2017 - Proceedings of the 2017 ACM Multimedia Conference

PB - Association for Computing Machinery (ACM)

T2 - 25th ACM International Conference on Multimedia, MM 2017

Y2 - 23 October 2017 through 27 October 2017

ER -

Enhancing music events using physiological sensor data

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