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Protocol for Eliciting Driver Frustration in an In-vehicle Environment.

, , and . ACII, page 620-626. IEEE, (2019)

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Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects., , , , and . CoRR, (2020)Swipe&Switch: Text Entry Using Gaze Paths and Context Switching., , , , and . UIST (Adjunct Volume), page 84-86. ACM, (2020)Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems., , , , , , , and . FG, page 1-5. IEEE, (2019)Mitigating Boredom Using An Empathetic Conversational Agent., , , and . IVA, page 49:1-49:8. ACM, (2020)A random forest approach to segmenting and classifying gestures. Boston University, USA, (2014)Synthesize & Learn: Jointly Optimizing Generative and Classifier Networks for Improved Drowsiness Detection., , , , and . ICASSP, page 4050-4054. IEEE, (2021)Protocol for Eliciting Driver Frustration in an In-vehicle Environment., , and . ACII, page 620-626. IEEE, (2019)LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions Whilst Leveraging Human Perceptual Judgements., , , , , and . CVPR Workshops, page 1531-1541. Computer Vision Foundation / IEEE, (2021)In-the-wild Drowsiness Detection from Facial Expressions., , , and . IV, page 207-212. IEEE, (2020)The Universal Face Encoder: Learning Disentangled Representations Across Different Attributes., , and . CVPR Workshops, page 1071-1080. IEEE, (2023)