 | Up a level |
Meteier, Quentin; Favre, Renée; Viola, Sofia; Capallera, Marine; Angelini, Leonardo; Mugellini, Elena; Sonderegger, Andreas (2024). Classification of driver fatigue in conditionally automated driving using physiological signals and machine learning Transportation Research Interdisciplinary Perspectives, 26, p. 101148. Elsevier 10.1016/j.trip.2024.101148
Meteier, Quentin; Capallera, Marine; De Salis, Emmanuel; Angelini, Leonardo; Carrino, Stefano; Abou Khaled, Omar; Mugellini, Elena; Sonderegger, Andreas (April 2023). Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving In: IHM '23: 34th International Francophone Conference on Human-Computer Interaction (pp. 1-12). New York, NY, USA: ACM 10.1145/3583961.3583966
Meteier, Quentin; Capallera, Marine; de Salis, Emmanuel; Angelini, Leonardo; Carrino, Stefano; Widmer, Marino; Khaled, Omar Abou; Mugellini, Elena; Sonderegger, Andreas (2023). A dataset on the physiological state and behavior of drivers in conditionally automated driving Data in Brief, 47, p. 109027. Elsevier, Science Direkt 10.1016/j.dib.2023.109027
Capallera, Marine; Meteier, Quentin; De Salis, Emmanuel; Widmer, Marino; Angelini, Leonardo; Carrino, Stefano; Sonderegger, Andreas; Khaled, Omar Abou; Mugellini, Elena (2023). A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving IEEE Access, 11, pp. 5746-5771. IEEE 10.1109/ACCESS.2023.3236814
Meteier, Quentin; Capallera, Marine; De Salis, Emmanuel; Widmer, Marino; Angelini, Leonardo; Abou Khaled, Omar; Mugellini, Elena; Sonderegger, Andreas (2022). Carrying a passenger and relaxation before driving: Classification of young drivers’ physiological activation Physiological Reports, 10(10), pp. 1-17. John Wiley & Sons 10.14814/phy2.15229
Meteier, Quentin; De Salis, Emmanuel; Capallera, Marine; Widmer, Marino; Angelini, Leonardo; Abou Khaled, Omar; Sonderegger, Andreas; Mugellini, Elena (2022). Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression Frontiers in Computer Science, 3 Frontiers 10.3389/fcomp.2021.775282
Capallera, Marine; Ruffieux, Simon; Angelini, Leonardo; Abou Khaled, Omar; Mugellini, Elena; Widmer, Marino; Sonderegger, Andreas (2021). Classification of Drivers' Workload Using Physiological Signals in Conditional Automation Frontiers in Psychology, 12 10.3389/fpsyg.2021.596038
de Salis, Emmanuel; Meteier, Quentin; Capallera, Marine; Angelini, Leonardo; Andreas, Sonderegger; Abou Khaled, Omar; Mugellini, Elena; Widmer, Marino; Carrino, Stefano (2021). Predicting Takeover Quality in Conditionally Automated Vehicles Using Machine Learning and Genetic Algorithms In: Russo, Dario; Ahram, Tareq; Karwowski, Waldemar; Di Bucchianico, Giuseppe; Taiar, Redh (eds.) Intelligent Human Systems Integration 2021. Proceedings of the 4th International Conference on Intelligent Human Systems Integration (IHSI 2021): Integrating People and Intelligent Systems. February 22-24, 2021, Palermo, Italy. Advances in Intelligent Systems and Computing: Vol. 1322 (pp. 84-89). Cham: Springer 10.1007/978-3-030-68017-6_13
de Salis, Emmanuel; Meteier, Quentin; Pelletier, Colin; Capallera, Marine; Angelini, Leonardo; Sonderegger, Andreas; Khaled, Omar Abou; Mugellini, Elena; Widmer, Marino; Carrino, Stefano (2021). Clustering of drivers’ state before takeover situations based on physiological features using unsupervised machine learning In: Tareq Ahram, Redha Taiar (ed.) Human Interaction, Emerging Technologies and Future Systems V. Lecture Notes in Networks and Systems: Vol. 319 (pp. 550-555). Cham: Springer 10.1007/978-3-030-85540-6_69
Meteier, Quentin; Capallera, Marine; de Salis, Emmanuel; Sonderegger, Andreas; Angelini, Leonardo; Carrino, Stefano; Abou Khaled, Omar; Mugellini, Elena (2020). The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness In: AutomotiveUI '20: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 241-251). New York, NY, USA: ACM 10.1145/3409120.3410649
