Towards Analyzing and Predicting the Experience of Live Performances with Wearable Sensing

Journal Article (2018)
Authors

Ekin Gedik (TU Delft - Pattern Recognition and Bioinformatics)

L.C. Cabrera-Quiros (TU Delft - Pattern Recognition and Bioinformatics)

Claudio Martella (Vrije Universiteit Amsterdam)

Gwenn Englebienne (University of Twente)

HS Hung (TU Delft - Pattern Recognition and Bioinformatics)

Research Group
Pattern Recognition and Bioinformatics
Copyright
© 2018 E. Gedik, L.C. Cabrera Quiros, Claudio Martella, Gwenn Englebienne, H.S. Hung
To reference this document use:
https://doi.org/10.1109/TAFFC.2018.2875987
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 E. Gedik, L.C. Cabrera Quiros, Claudio Martella, Gwenn Englebienne, H.S. Hung
Research Group
Pattern Recognition and Bioinformatics
Issue number
99
Volume number
PP
Pages (from-to)
1-8
DOI:
https://doi.org/10.1109/TAFFC.2018.2875987
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Abstract

We present an approach to interpret the response of audiences to live performances by processing mobile sensor data. We apply our method on three different datasets obtained from three live performances, where each audience member wore a single tri-axial accelerometer and proximity sensor embedded inside a smart sensor pack. Using these sensor data, we developed a novel approach to predict audience members' self-reported experience of the performances in terms of enjoyment, immersion, willingness to recommend the event to others and change in mood. The proposed method uses an unsupervised method to identify informative intervals of the event, using the linkage of the audience members' bodily movements, and uses data from these intervals only to estimate the audience members' experience. We also analyze how the relative location of members of the audience can affect their experience and present an automatic way of recovering neighborhood information based on proximity sensors. We further show that the linkage of the audience members' bodily movements is informative of memorable moments which were later reported by the audience.

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