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- W9989431 abstract "The analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, neuroscience, and related disciplines. We focus on the recognition of the affect state of a single person from video streams. We create a model that allows to estimate the state of four affective dimensions of a person which are arousal, anticipation, power and valence. This sequence model is composed of a magnitude model of motion constructed from a set of point of interest tracked using optical flow. The state of the affective dimension is then predicted using SVM. The experimentation has been performed on a standard dataset and has showed promising results." @default.
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- W9989431 date "2014-01-01" @default.
- W9989431 modified "2023-09-26" @default.
- W9989431 title "Affect Recognition Using Magnitude Models of Motion" @default.
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- W9989431 doi "https://doi.org/10.1007/978-3-319-04117-9_33" @default.
- W9989431 hasPublicationYear "2014" @default.
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