English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

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

MPS-Authors
/persons/resource/persons134458

Gaebler,  Michael
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-000A-C2C3-E
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.