Supplementary data to the paper: Toward a Novel Set of Pinna Anthropometric Features for Individualizing Head-Related Transfer Functions

Supplementary research data to the paper: Davide Fantini, Federico Avanzini, Stavros Ntalampiras and Giorgio Presti (2024) "Toward a Novel Set of Pinna Anthropometric Features for Individualizing Head-Related Transfer Functions", Sound and Music Computing Conference The repository includes the research data generated in the abovementioned paper. In particular, the repository includes: README.md: instructions for the data pinna_images.mat: pinna depth images extracted from the 3D head meshes of the HUTUBS dataset landmarks.mat: coordinates of the landmarks manually annotated on pinna depth images anthropometry.mat: anthropometric parameters automatically extracted from manually annotated landmarks anthropometry_documentation.pdf: documentation of the pinna anthropometric parameters The data are provided in the Matlab file format MAT. Nevertheless, the MAT files can be read with other programming languages, such as Python (scipy.io.loadmat). A GitHub repository to automatically extract the pinna landmarks and features as described in the paper is available here.