Acoustic scattering AI for non-invasive object classifications: A case study on hair assessment

ArXi:2506.14148v2 Announce Type: replace-cross This paper presents a novel non-invasive object classification approach using acoustic scattering, nstrated through a on hair assessment. When an incident wave interacts with an object, it generates a scattered acoustic field encoding structural and material properties. By emitting acoustic stimuli and capturing the scattered signals from head-with-hair-sample objects, we classify hair type and moisture using AI-driven, deep-learning-based sound classification.