RT info:eu-repo/semantics/article
T1 A New Post-Processing Proposal for Improving Biometric Gait Recognition Using Wearable Devices
A1 Salvador-Ortega, Irene
A1 Vivaracho-Pascual, Carlos
A1 Simon-Hurtado, Arancha
K1 gait recognition; smartwatch; accelerometer sensor; window fusion technique; cross-session tests
AB In this work, a novel Window Score Fusion post-processing technique for biometric gait recognition is proposed and successfully tested. We show that the use of this technique allows recognition rates to be greatly improved, independently of the configuration for the previous stages of the system. For this, a strict biometric evaluation protocol has been followed, using a biometric database composed of data acquired from 38 subjects by means of a commercial smartwatch in two different sessions. A cross-session test (where training and testing data were acquired in different days) was performed. Following the state of the art, the proposal was tested with different configurations in the acquisition, pre-processing, feature extraction and classification stages, achieving improvements in all of the scenarios; improvements of 100% (0% error) were even reached in some cases. This shows the advantages of including the proposed technique, whatever the system.
PB MDPI
YR 2023
FD 2023-01-17
LK https://uvadoc.uva.es/handle/10324/64831
UL https://uvadoc.uva.es/handle/10324/64831
LA spa
NO Sensors 2023, Vol. 23, no. 3, pp. 1054
DS UVaDOC
RD 24-nov-2024