103 citations · 126 across the 4 of their papers we have counts for
4 papers
Gaussian Process-driven Hidden Markov Models for Early Diagnosis of Infant Gait Anomalies
Luis Torres-Torres F., Jonatan Arias-García, Hernán F. García +2
Gait analysis is critical in the early detection and intervention of motor neurological disorders in infants. Despite its importance, traditional methods often struggle to model th…
Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features
C. D. Rios-Urrego, J. C. Vásquez-Correa, J. F. Vargas-Bonilla +3
Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in…
Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease
R. Castrillon, A. Acien, J. R. Orozco-Arroyave +6
In this paper we evaluate the suitability of handwriting patterns as potential biomarkers to model Parkinson disease (PD). Although the study of PD is attracting the interest of ma…
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alexander Gomez, Augusto Salazar, Francisco Vargas
Non intrusive monitoring of animals in the wild is possible using camera trapping framework, which uses cameras triggered by sensors to take a burst of images of animals in their h…