Manifold learning for user profiling and identity verification using motion sensors

Geise Santos, Paulo Henrique Pisani, Roberto Leyva, Chang-Tsun Li, Tiago Fernandes Tavares, Anderson Rocha

Abstract: Highlights•A solution for learning identify-related motion traits using user-agnostic models.•The proposed manifold-based solution outperformed previous, user-specific ones.•The proposed solution presented robustness in cross-dataset and open-set scenarios.•The proposed solution employs a small amount of target user data for personalization.•An extended dataset with motion data from 115 users is made available.