Distinction of stress and non-stress tasks using facial action units-Reference-Cited by-同舟云学术

Distinction of stress and non-stress tasks using facial action units

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Multimodal Interaction Adjunct - ICMI '18
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Author:

Viegas Carla¹,Lau Shing-Hon²,Maxion Roy²,Hauptmann Alexander²

Affiliation:

1. Carnegie Mellon University and NOVA University of Lisbon

2. Carnegie Mellon University

Funder

Fundacao para a Ciencia e a Tecnologia

Publisher

ACM Press

Reference22 articles.

1. American Psychology Association. 2014. Understand Chronic Stress. (2014). Retrieved May 16, 2018 from https://www.apa.org/helpcenter/understanding-chronic-stress.aspx.

2. Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency. 2016. Openface: an open source facial behavior analysis toolkit. InApplications of Computer Vision (WACV), 2016 IEEE Winter Conference on.IEEE, 1--10.

3. Davide Carneiro, Paulo Novais, Juan Carlos Augusto, and Nicola Payne. 2017. New methods for stress assessment and monitoring at the workplace.IEEE Transactions on Affective Computing(2017).

4. Shanice Clarke, Luis G Jaimes, and Miguel A Labrador. 2017. mStress: A mobile recommender system for just-in-time interventions for stress. InConsumer Communications & Networking Conference (CCNC), 2017 14th IEEE Annual.IEEE, 1--5.

5. Božidara Cvetković, Martin Gjoreski, Jure Šorn, Pavel Maslov, Michał Kosiedowski, Maciej Bogdański, Aleksander Stroiński, and Mitja Luštrek. 2017. Real-time physical activity and mental stress management with a wristband and a smartphone. InProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers.ACM, 225--228.

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