Visualizing Emotion and Absorption Through a Low Resolution LED Array : From Electroencephalography to Internet of Things

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationAugmented Cognition
Subtitle of host publicationTheoretical and Technological Approaches: 14th International Conference, AC 2020: Proceedings
EditorsDylan D. Schmorrow, Cali M. Fidopiastis
Place of PublicationCham, Switzerland
PublisherSpringer
Pages142-156
VolumePart I
ISBN (Electronic)9783030503536
ISBN (Print)9783030503529
Publication statusPublished - Jul 2020

Publication series

NameLecture Notes in Artificial Intelligence
Volume12196
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title14th International Conference on Augmented Cognition (AC 2020), held as part of the 22nd International Conference on Human-Computer Interaction (HCII 2020)
LocationVirtual
PlaceDenmark
CityCopenhagen
Period19 - 24 July 2020

Abstract

Electroencephalography (EEG) is a popular method for detecting and recording electrical activity in the human brain. Using this method, we can explore the relationships between specific brain activities and certain mental states. Even though neuroscience measurements are reliable and useful, the specific methods are not quite popular within human-computer interaction (HCI) research and practice, since traditional devices for neurophysiological data acquisition are professional knowledge dependent and expensive. The emergence of inexpensive, off-the-shelf wireless EEG devices encourages researchers and designers to probe the new perspective of HCI. In this paper, we present a pilot study which attempts to connect the EEG data obtained by a wireless EEG device (i.e., Emotiv EPOC plus) to an electronic device (i.e., a Particle-based 8*8*8 LED array) enabled by the infrastructure of the Internet of Things (IoT). Specifically, this study visualizes the two general types of human emotions and the human absorptive state on the LED array through multidimensional display patterns. We hope this study can be regarded as the pilot for the brain-computer interface building with commercial EEG products and electronic devices enabled by IoT. Furthermore, the study can also serve as reference for creative scientific visualization of human mental states with physical electronic devices.

Research Area(s)

  • Emotion, Absorption, Visualization, Electroencephalography (EEG), Internet of Things (IoT)

Citation Format(s)

Visualizing Emotion and Absorption Through a Low Resolution LED Array : From Electroencephalography to Internet of Things. / Ke, Xiaobo; Wagner, Christian.

Augmented Cognition: Theoretical and Technological Approaches: 14th International Conference, AC 2020: Proceedings. ed. / Dylan D. Schmorrow; Cali M. Fidopiastis. Vol. Part I Cham, Switzerland : Springer, 2020. p. 142-156 (Lecture Notes in Artificial Intelligence; Vol. 12196).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review