Cell phone-based biometric identification

By Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore. International Conference on Biometrics: Theory, Applications and Systems, 2010

303 citations recorded by the source corpus.

How researchers see this paper

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Inertial Sensor-Based Gait Recognition: A Review (2015, methodology): “This is usually performed by interpolation, either linear or cubic [31–39].”
A review of biometric technology along with trends and prospects (2014, background): “Several approaches have been developed so far thereby the authors claimed to achieve better recognition accuracy [199, 200, 201, 202, 203].”
Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living (2019, methodology): “The two studies most similar to the current study include the walking activity and either three [12] or five [30]”
Walk detection and step counting on unconstrained smartphones (2013, methodology): “Most studies use these features for training classifiers such as neural networks [29, 30, 39, 45], support vector machines (SVMs) [19, 41, 51] or Gaussian mixture models (GMMs) [2, 21, 57], or give them as an input to non-parametric classification methods such as k-nearest neighbour [45, 52].”