The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

Featured Application Sensing floors combined with pattern recognition and deep learning
could identify individuals by the way they unfold their footsteps on the ground. Abstract The …

Person identification is a key problem in the security domain and may be used to
automatically identify criminals or missing persons. The traditional face matching …

Gait recognition on smartphones could be considered as one of the most user-friendly
biometric modalities. The main benefit of gait recognition is that it is an unobtrusive biometric …

Plantar pressure, the pressure exerted between the sole and the supporting surface, has
great potentialities in various research fields, including footwear design, biometrics, gait …

Biometrics is currently an area that is both very interesting as well as rapidly growing.
Among various types of biometrics the human gait recognition seems to be one of the most …

Deep learning (DL) has become a powerful tool in many image classification applications
but often requires large training sets to achieve high accuracy. For applications where the …

High-resolution plantar pressure recordings have the potential to be used in gait biometrics,
biomechanics, and clinical gait analysis. To accurately assess side-specific patterns and …

Footstep recognition is a form of biometric authentication that verifies or identifies individuals
by their unique underfoot pressure patterns. The selection of an appropriate gait …