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Continuous low latency heart rate estimation from painful faces in real time.

, , and . ICPR, page 1165-1170. IEEE, (2016)

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Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity., , , , , , and . EANN, volume 517 of Communications in Computer and Information Science, page 275-285. Springer, (2015)NESSi: The Non-Equilibrium Systems Simulation package., , , , , , , and . CoRR, (2019)Detecting Arbitrarily Rotated Faces for Face Analysis., , , , and . ICIP, page 3945-3949. IEEE, (2019)Data fusion for automated pain recognition., , , , , , , , and . PervasiveHealth, page 261-264. ICST, (2015)Adaptive confidence learning for the personalization of pain intensity estimation systems., , , , , , and . Evol. Syst., 8 (1): 71-83 (2017)NESSi: The Non-Equilibrium Systems Simulation package., , , , , , , and . Comput. Phys. Commun., (2020)Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry., and . Wirtschaftsinformatik, page 1940-1951. University of Siegen, Germany / AISeL, (2019)Continuous-time quantum Monte Carlo impurity solvers., , , , , and . Comput. Phys. Commun., 182 (4): 1078-1082 (2011)Efficient evaluation of the effective dielectric function of a macromolecule in aqueous solution., , , and . J. Comput. Chem., 24 (15): 1936-1949 (2003)Interaction quench in the Hubbard model: Relaxation of the spectral function and the optical conductivity, , and . arXiv:0910.5674, (2009)cite arxiv:0910.5674 Comment: 18 pages, 10 figures.