Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition. (arXiv:2206.01441v1 [cs.CV])

Biometrics on mobile devices has attracted a lot of attention in recent years
as it is considered a user-friendly authentication method. This interest has
also been motivated by the success of Deep Learning (DL). Architectures based
on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
have been established to be convenient for the task, improving the performance
and robustness in comparison to traditional machine learning techniques.
However, some aspects must still be revisited and improved. To the best of …

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