Monash University
8 files

Anxiety Phases Dataset

Version 2 2022-01-24, 07:18
Version 1 2021-08-17, 02:33
posted on 2021-10-18, 00:33 authored by Hashini SenaratneHashini Senaratne, Levin Kuhlmann, Kirsten Ellis, Glenn Melvin, Sharon Oviatt
The dataset in this repository includes a subset of electrocardiogram, electrodermal, torso posture and activity, wrist activity, and leg activity measures collected from a high- and low-anxiety group during a bug-phobic and social anxiety experience. Raw files of audio data are not made available to protect the anonymity of the participants, but can be made available upon request subject to ethics agreements.

If you use this open-source dataset, please cite the following conference article where this dataset is originally published at:

Hashini Senaratne, Levin Kuhlmann, Kirsten Ellis, Glenn Melvin, and Sharon Oviatt. 2021. A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety. In Proceedings of the 2021 International Conference on Multimodal Interaction (ICMI ’21), October 18–22, 2021, Montréal, QC, Canada. ACM, New York, NY, USA, 10 pages.

For more details on the directory structure, refer to file.

Hashini Senaratne, Levin Kuhlmann, Kirsten Ellis, Glenn Melvin, and Sharon Oviatt

This Anxiety Phase Dataset provided on this repository is published under the Creative Commons Attribution-NonCommercial 4.0 International License. This means you can use it for research and educational purposes, but you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

We would like to thank our participants, Mairead Cardamone-Breen and Lachlan James (support psychologists), and Yasura Vithana (an electronics engineer), for their immense support to the establishment of the described dataset after a Covid-19 lockdown.