Year: 2026
Type: conference-paper
Abstract: We compared four tools for analysing blink velocity and amplitude, examining how MediaPipe, OpenFace, InsightFace, and 3DDFA compare in terms of blink analysis.Building on previous findings that different tools yield different results (Kuznetsova and Kimmelman, 2024), we explored their fixed-effect estimates between linguistic versus non-linguistic blinks, within non-linguistic blinks (eye-watering blinks versus gaze-direction-change blinks), and within linguistic blinks (prosodic/turn-taking blinks, sign-aligned/list-marking blinks, and backchanneling blinks), while controlling for head pose (Pitch, Roll, Yaw).Using linear mixed-effects models on annotated French Sign Language data, we found tool-specific patterns: consistent negative effects for InsightFace and MediaPipe, but positive effects for 3DDFA.In addition, the influence of head pose varied across models (Pitch is strongly positive in MediaPipe but negative in InsightFace and some 3DDFA models; Roll and Yaw also vary in importance across tools).These discrepancies highlight methodological biases that can distort linguistic interpretations.
Authors: Margaux Susman, Carla Miquel Blasco, Jan Bulla
Institution: University of Bergen
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166556960