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AffectiveROAD dataset

by Neska Elhaouij

Sept. 29, 2021

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AffectiveROAD_Data.zip ()
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Predicting Driver Self-Reported Stress by Analyzing the Road Scene

Cristina Bustos, Neska Elhaouij, Albert Sole-Ribalta, Javier Borge-Holthoefer, Agata Lapedriza, and Rosalind Picard. "Predicting Driver Self-Reported Stress by Analyzing the Road Scene." in Proceedings of International Conference on Affective Computing and Intelligent Interaction (ACII 2021), preprint arXiv:2109.13225 (2021).
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AmbientBreath: Unobtrusive Just-in-time Breathing Intervention Using Multi-sensory Stimulation and its Evaluation in a Car Simulator

Jinmo Lee, Neska Elhaouij, and Rosalind Picard. 2021. AmbientBreath: Unobtrusive Just-in-time Breathing Intervention Using Multi-sensory Stimulation and its Evaluation in a Car Simulator. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 2, Article 71 (June 2021), 30 pages. DOI:https://doi.org/10.1145/3463493
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Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning

Lopez-Martinez, Daniel, Neska Elhaouij, and Rosalind Picard. "Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning." In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 356-361. IEEE, 2019.
Publication Research

Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving

Zepf, S., El Haouij, N., Lee, J., Ghandeharioun, A., Hernandez, J., & Picard, R. W. 2020. Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (pp. 275-283).