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  Excite-O-Meter: An open-source unity plugin to analyze heart activity and movement trajectories in custom VR environments

Quintero, L., Papapetrou, P., Muñoz, J. E., de Mooij, J., & Gaebler, M. (2022). Excite-O-Meter: An open-source unity plugin to analyze heart activity and movement trajectories in custom VR environments. In Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 46-47). doi:10.1109/VRW55335.2022.00017.

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 Creators:
Quintero, Luis1, Author
Papapetrou, Panagiotis1, Author
Muñoz, John E.2, Author
de Mooij, Jeroen, Author
Gaebler, Michael3, Author           
Affiliations:
1Department of Computer and Systems Sciences, Stockholm University, Sweden, ou_persistent22              
2Department of Systems Design Engineering, University of Waterloo, ON, Canada, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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 Abstract: This article explains the new features of the Excite-O-Meter, an open-source tool that enables the collection of bodily data, real-time feature extraction, and post-session data visualization in any custom VR environment developed in Unity. Besides analyzing heart activity, the tool supports now multidimensional time series to study motion trajectories in VR. The paper presents the main functionalities and discusses the relevance of the tool for behavioral and psychophysiological research.

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Language(s): eng - English
 Dates: 2022-04-20
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/VRW55335.2022.00017
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Title: Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 46 - 47 Identifier: -