Dorsal Hand Images for Immersive (XR) and Privacy-preserving Age Assurance and Child Safety
Researchers proposed using dorsal hand images from XR headsets as a privacy-preserving alternative to face recognition for verifying user age during sessions. They tested various AI models on a diverse dataset spanning ages 10 to 67, finding that specific neural networks could reliably classify users near the critical 18-year threshold. This suggests hand morphometrics can serve as an effective, continuous age assurance filter in immersive environments.