4 citations · 16 across the 14 of their papers we have counts for
6 papers · 1 filter
Towards an efficient Iris Recognition System on Embedded Devices
Daniel P. Benalcazar, Juan E. Tapia, Mauricio Vasquez +3
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems. Today, it is challenging to build NIR-capturing devices under the premise of hardware pri…
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images
Juan Tapia, Daniel Benalcazar, Andres Valenzuela +3
This research proposes a new database and method to detect the reduction of alertness conditions due to alcohol, drug consumption and sleepiness deprivation from Near-Infra-Red (NI…
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network
Juan Tapia, Enrique Lopez Droguett, Christoph Busch
This research proposes a method to detect alcohol consumption from Near-Infra-Red (NIR) periocular eye images. The study focuses on determining the effect of external factors such…
A Novel Capsule Neural Network Based Model for Drowsiness Detection Using Electroencephalography Signals
Luis Guarda, Juan Tapia, Enrique Lopez Droguett +1
The early detection of drowsiness has become vital to ensure the correct and safe development of several industries' tasks. Due to the transient mental state of a human subject bet…
Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences
L. Causa, J. E. Tapia, E. Lopez-Droguett +3
This paper proposes a new method to estimate behavioural curves from a stream of Near-Infra-Red (NIR) iris video frames. This method can be used in a Fitness For Duty system (FFD).…
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
Juan Tapia, Enrique Lopez Droguett, Andres Valenzuela +3
This paper proposes a new framework to detect, segment, and estimate the localization of the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. The purpose…