Reliability and generalization of gait biometrics using 3D inertial sensor data and 3D optical system trajectories.

ABSTRACT: Particularities in the individuals' style of walking have been explored for at least three decades as a biometric trait, empowering the automatic gait recognition field. Whereas gait recognition works usually focus on improving end-to-end performance measures, this work aims at understanding which individuals' traces are more relevant to improve subjects' separability. For such, a manifold projection technique and a multi-sensor gait dataset were adopted to investigate the impact of each data source characteristics on this separability. Assessments have shown it is hard to distinguish individuals based only on their walking patterns in a subject-based identification scenario. In this setup, the subjects' separability is more related to their physical characteristics than their movements re

SUBMITTER: Santos G 

PROVIDER: S-EPMC9120026 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature