AutDB - Privacy‑First Benchmark for Video‑Based ASD Screening

Authors: Ruslan Kurmashev
Cited by: 0

Abstract

A reproducible, privacy‑preserving baseline that harmonizes two datasets - MMASD (video‑derived skeleton/flow) and Engagnition (E4 wristband + annotations) - into a unified table and evaluates transportability (LODO) and IID performance on a shared proxy target.

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Internet Traffic Analysis and Secure E-voting Face recognition and analysis

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
7 January 2026
Document type
Preprint