Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition

@article{VeraRodrguez2013ComparativeAA,
  title={Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition},
  author={Rub{\'e}n Vera-Rodr{\'i}guez and John S. D. Mason and Julian Fi{\'e}rrez and Javier Ortega-Garcia},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={823-834}
}
Footstep recognition is a relatively new biometric which aims to discriminate people using walking characteristics extracted from floor-based sensors. This paper reports for the first time a comparative assessment of the spatiotemporal information contained in the footstep signals for person recognition. Experiments are carried out on the largest footstep database collected to date, with almost 20,000 valid footstep signals and more than 120 people. Results show very similar performance for… CONTINUE READING

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