Teena Hassan
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Automatic detection of pain from facial expressions: a survey
T Hassan, D Seu▀, J Wollenberg, K Weitz, M Kunz, S Lautenbacher, ...
IEEE transactions on pattern analysis and machine intelligence 43 (6), 1815-1831, 2019
Machine learning and end-to-end deep learning for monitoring driver distractions from physiological and visual signals
M Gjoreski, MŽ Gams, M Luštrek, P Genc, JU Garbas, T Hassan
IEEE access 8, 70590-70603, 2020
Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods
K Weitz, T Hassan, U Schmid, JU Garbas
tm-Technisches Messen 86 (7-8), 404-412, 2019
Problems of video-based pain detection in patients with dementia: a road map to an interdisciplinary solution
M Kunz, D Seuss, T Hassan, JU Garbas, M Siebers, U Schmid, ...
BMC geriatrics 17, 1-8, 2017
Requirements for a reference dataset for multimodal human stress detection
B Mahesh, T Hassan, E Prassler, JU Garbas
2019 IEEE International Conference on Pervasive Computing and Communicationsá…, 2019
Emotion expression from different angles: A video database for facial expressions of actors shot by a camera array
D Seuss, A Dieckmann, T Hassan, JU Garbas, JH Ellgring, M Mortillaro, ...
2019 8th International Conference on Affective Computing and Intelligentá…, 2019
Self-explaining social robots: an explainable behavior generation architecture for human-robot interaction
S Stange, T Hassan, F Schr÷der, J Konkol, S Kopp
Frontiers in Artificial Intelligence 5, 866920, 2022
Automatic coding of facial expressions of pain: Are we there yet?
S Lautenbacher, T Hassan, D Seuss, FW Loy, JU Garbas, U Schmid, ...
Pain Research and Management 2022, 2022
A practical approach to fuse shape and appearance information in a Gaussian facial action estimation framework
T Hassan, D Seuss, J Wollenberg, J Garbas, U Schmid
Proceedings of the Twenty-second European Conference on Artificialá…, 2016
Towards self-explaining social robots. Verbal explanation strategies for a needs-based architecture
S Stange, H Buschmeier, T Hassan, C Ritter, S Kopp
Towards explaining deep learning networks to distinguish facial expressions of pain and emotions
K Weitz, T Hassan, U Schmid, J Garbas
Forum Bildverarbeitung, 197-208, 2018
Determining facial parameters
D Seuss, TC Hassan, J Wollenberg, A Ernst, J Garbas
US Patent 10,275,640, 2019
The fabric of socially interactive agents: Multimodal interaction architectures
S Kopp, T Hassan
The handbook on socially interactive agents: 20 years of research oná…, 2022
Automatic estimation of action unit intensities and inference of emotional appraisals
D Seuss, T Hassan, A Dieckmann, M Unfried, KR Scherer, M Mortillaro, ...
IEEE Transactions on Affective Computing 14 (2), 1188-1200, 2021
Towards an interaction-centered and dynamically constructed episodic memory for social robots
T Hassan, S Kopp
Companion of the 2020 ACM/IEEE international conference on human-robotá…, 2020
Towards designing privacy-compliant social robots for use in private households: A use case based identification of privacy implications
B Horstmann, N Diekmann, H Buschmeier, T Hassan
Proceedings of the 29th IEEE International Conference on Robot and Humaná…, 2020
A Kalman filter with state constraints for model-based dynamic facial action unit estimation
T Hassan, D Seu▀, A Ernst, J Garbas, T Lńngle, FP Leˇn, M Heizmann
Forum Bildverarbeitung, 2018
Recognizing emotions conveyed through facial expressions
TC Hassan
A method for minimum range extension with improved accuracy in triangulation laser range finder
MV Mohan, SA Devi, CH Teena, A Abraham
Proceedings of the 1st International Conference on Wireless Technologies forá…, 2011
A Bayesian Approach to Context-based Recognition of Human Intention for Context-Adaptive Robot Assistance in Space Missions
A Lubitz, O Arriaga, T Hassan, N Hoyer, EA Kirchner
Poster presented at SpaceCHI 2.0: Human-Computer Interaction for Spaceá…, 2022
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