Unobtrusive multi-modal biometric recognition using activity-related signatures

@article{Drosou2011UnobtrusiveMB,
  title={Unobtrusive multi-modal biometric recognition using activity-related signatures},
  author={Anastasios Drosou and Georgios Stavropoulos and Dimosthenis Ioannidis and Konstantinos Moustakas and Dimitrios Tzovaras},
  journal={Iet Computer Vision},
  year={2011},
  volume={5},
  pages={367-379}
}
The present study proposes a novel multimodal biometrics framework for identity recognition and verification following the concept of the so called ‘on-the-move’ biometry, which sets as the final objective the non-stop authentication in an unobtrusive manner. Gait, that forms the major modality of the scheme, is complemented by new dynamic biometric signatures extracted from several activities performed by the user. Gait recognition is performed through a robust scheme that is based on… 
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