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Enhancing music events using physiological sensor data. / Röggla, Thomas; Shirzadian, Najereh; Zheng, Zhiyuan; Panza, Alice; Cesar, Pablo.

MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Association for Computing Machinery (ACM), 2017. p. 1239-1240.

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

Harvard

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

APA

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 (pp. 1239-1240). Association for Computing Machinery (ACM). https://doi.org/10.1145/3123266.3127919

Vancouver

Röggla T, Shirzadian N, Zheng Z, Panza A, Cesar P. Enhancing music events using physiological sensor data. In MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Association for Computing Machinery (ACM). 2017. p. 1239-1240 https://doi.org/10.1145/3123266.3127919

Author

Röggla, Thomas ; Shirzadian, Najereh ; Zheng, Zhiyuan ; Panza, Alice ; Cesar, Pablo. / Enhancing music events using physiological sensor data. MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Association for Computing Machinery (ACM), 2017. pp. 1239-1240

BibTeX

@inproceedings{1f6fe360840b46acae97af394ce6b1eb,
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 = "10",
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",

}

RIS

TY - GEN

T1 - Enhancing music events using physiological sensor data

AU - Röggla, Thomas

AU - Shirzadian, Najereh

AU - Zheng, Zhiyuan

AU - Panza, Alice

AU - Cesar, Pablo

PY - 2017/10/23

Y1 - 2017/10/23

N2 - 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.

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

UR - http://www.scopus.com/inward/record.url?scp=85035236845&partnerID=8YFLogxK

U2 - 10.1145/3123266.3127919

DO - 10.1145/3123266.3127919

M3 - Conference contribution

SP - 1239

EP - 1240

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

PB - Association for Computing Machinery (ACM)

ER -

ID: 44889276