Virtual agents as a scalable tool for diverse, robust gesture recognition.

ABSTRACT: Gesture recognition technology is a popular area of research, offering applications in many fields, including behaviour research, human-computer interaction (HCI), medical research, and surveillance culture, among others. However, the large quantity of data needed to train a recognition algorithm is not always available, and differences between the training set and one's own research data in factors such as recording conditions and participant characteristics may hinder transferability. To address these issues, we propose training and testing recognition algorithms on virtual agents, a tool that has not yet been used for this purpose in multimodal communication research. We provide an example use case with step-by-step instructions, using mocap data to animate a virtual agent and create cu

SUBMITTER: Loy L 

PROVIDER: S-EPMC12811268 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature