Gesture Area Coverage to Assess Gesture Expressiveness and Human-Likeness
Rodolfo Luis Tonoli, Paula Dornhofer Paro Costa, Leonardo B. de M. M. Marques, Lucas Hideki Ueda · 2024
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 Fréchet Gesture Distance.