Boiling Mind-A Dataset of Physiological Signals during an Exploratory Dance Performance

Zhuoqi Fu, Jiawen Han, Dingding Zheng, Moe Sugawa, Taichi Furukawa, Chernyshov George, Hynds Danny, Padovani Marcelo, Marky Karola, Kouta Minamizawa, Jamie A. Ward, Kai Kunze

研究成果: Conference contribution

抄録

The relationship between audience and performers is crucial to what makes live events so special. The aim of this work is to develop a new approach amplifying the link between audiences and performers. Specifically, we explore the use of wearable sensors in gathering real-time audience data to augment the visuals of a live dance performance. We used the J!NS MEME, smart glasses with integrated electrodes enabling eye movement analysis (e.g. blink detection) and inertial motion sensing of the head (e.g. nodding recognition). This data is streamed from the audience and visualised live on stage during a performance, alongside we also collected heart rate and eye gaze of selected audience. In this paper we present the recorded dataset, including accelerometer, electrooculography(EOG), and gyroscope data from 23 audience members.

本文言語English
ホスト出版物のタイトルProceedings - AHs 2021
ホスト出版物のサブタイトルAugmented Humans Conference 2021
出版社Association for Computing Machinery
ページ301-303
ページ数3
ISBN(電子版)9781450384285
DOI
出版ステータスPublished - 2021 2 22
イベント2021 Augmented Humans Conference, AHs 2021 - Rovaniemi, Finland
継続期間: 2021 2 222021 2 24

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference2021 Augmented Humans Conference, AHs 2021
国/地域Finland
CityRovaniemi
Period21/2/2221/2/24

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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