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This paper describes our FaceReader system, which we presented at Measuring Behavior 2005. This system is able to describe facial expressions and other facial features online with a remarkable accuracy. In this paper we will describe the possibilities of such a system and will discuss the technology used to make the system work. Currently, emotional expressions can be recognized with an accuracy of 89% and it can also classify a number of other facial features.
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Stored only when both papers are in the corpus — 114 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.