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Speeding up the detection of non-iconic and iconic gestures (SPUDNIG): A toolkit for the automatic detection of hand movements and gestures in video data

In human face-to-face communication, speech is frequently accompanied by visual signals, especially communicative hand gestures. Analyzing these visual signals requires detailed manual annotation of video data, which is often a labor-intensive and time-consuming process. To facilitate this process,...

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Detalles Bibliográficos
Publicado en:Behav Res Methods
Main Authors: Ripperda, Jordy, Drijvers, Linda, Holler, Judith
Formato: Artigo
Idioma:Inglês
Publicado: Springer US 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7406525/
https://ncbi.nlm.nih.gov/pubmed/31974805
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13428-020-01350-2
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