| Texto completo | |
| Autor(es): |
Tonoli, Rodolfo Luis
;
Paro Costa, Paula Dornhofer
;
de Menezes Martins Marques, Leonardo Boulitreau
;
Ueda, Lucas Hideki
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | COMPANION PUBLICATION OF THE 26TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2024 COMPANION; v. N/A, p. 5-pg., 2024-01-01. |
| Resumo | |
This work introduces the analyses of Gesture Area Coverage (GAC) for evaluating the expressiveness of co-speech gestures. GAC explicitly considers the spatial coverage of gestures within motion sequences, an aspect existing metrics neglect. We employ a set of metrics based on GAC to compare motion sequences across two key scenarios. First, to differentiate between distinct gesture styles and a neutral baseline, and second, to assess conditions from the GENEA Challenge 2023, a benchmark for gesture generation systems. In particular, our findings reveal that one of these metrics, the Dice Score, has a stronger correlation with human-likeness ratings compared to the Frechet Gesture Distance. (AU) | |
| Processo FAPESP: | 20/09838-0 - BI0S - Brazilian Institute of Data Science |
| Beneficiário: | João Marcos Travassos Romano |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada |