Towards Integrating Pose Estimation with Neuroimaging for the Analysis of Signed Language Video Stimuli
Year: 2026
Type: conference-paper
Abstract: We present our project revisiting the video stimuli of an EEG study in Finnish Sign Language to ask whether kinematic properties of the videos impacted their processing by study participants.For each stimulus, an average measure of brain responses across participants is computed.To analyse movement properties in the video stimuli, we rely on MediaPipe for pose estimation.We subsequently report on our project to perform an exploratory analysis of the kinematic properties of the videos which may affect their processing.We focus on several landmarks: the signer's right and left wrists, nose, and upper torso.Our goal is to obtain a kinematic profile of each stimulus video using several average kinematic variables: velocity and acceleration for all selected landmarks, distance between the wrists, and surface covered by the triangular area defined by the left hand, the right hand, and the nose.We conclude by discussing the potential benefits and limitations of this methodological approach.
Institutions: University of Namur, University of Jyväskylä
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166512515