CARDIO-Affect introduces a Hamiltonian-variability framework combining statistical mechanics, 45D Fisher-Rao geometry, topological data analysis, and emotional variability analytics to profile individual and group emotional dynamics on 30-month longitudinal data.
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CARDIO-Affect: A Hamiltonian-Variability Framework for Spatio-Temporal Emotional Pattern Recognition with Manifold-Based Individual and Group Profiling
CARDIO-Affect introduces a Hamiltonian-variability framework combining statistical mechanics, 45D Fisher-Rao geometry, topological data analysis, and emotional variability analytics to profile individual and group emotional dynamics on 30-month longitudinal data.