Ponències/Comunicacions de congressos
Recent Submissions
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Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessRobotic-assisted minimally invasive surgical sys-tems suffer from one major limitation which is the lack of interaction forces feedback. The restricted sense of touch hinders the surgeons’ performance and reduces their ... -
Estimating position & velocity in 3D space from monocular video sequences using a deep neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessThis work describes a regression model based on Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM) networks for tracking objects from monocular video sequences. The target application being pursued is ... -
Event-based control for sit-to-stand transition using a wearable exoskeleton
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessSit-to-stand transition is an essential step in a lower limb rehabilitation therapy, mainly for assisting the patient to transit from wheel chair to the next level of therapy. A mixed stiffness-damping control adaptation ... -
Communication-aware consensus for frequency restoration in islanded microgrids
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyMicroGrids (MGs) include spatially distributed generation (DG) systems and loads that may require operating autonomously in islanded mode. The operation of islanded MGs can benefit from consensus theory and practice, ... -
V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery
(Atlantis Press, 2015)
Conference report
Open AccessAccurate and robust estimation of applied forces in Robotic-Assisted Minimally Invasive Surgery is a very challenging task. Many vision-based solutions attempt to estimate the force by measuring the surface deformation ... -
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyEstimation of the cardiac motion is very important in order to detect heart diseases. This work presents a cardiac motion estimation approach using ultrafast ultrasound data. We optimize a variational framework which has ... -
Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference lecture
Restricted access - publisher's policyMinimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on ... -
Human activity recognition from object interaction in domestic scenarios
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Open AccessThis paper presents a real time approach to the recognition of human activity based on the interaction between people and objects in domestic settings, specifically in a kitchen. Regarding the procedure, it is based on ... -
Anticipating human activities from object interaction cues
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyA real time approach to the recognition of human activity based on the interaction with objects in domestic settings is presented. It is based on capturing partial images where the activity takes place using a color camera, ... -
Reactive power control for loss minimization in low-voltage distributed generation systems
(2016)
Conference report
Restricted access - publisher's policyDispersed small distributed generation (DG) systems in low-voltage (LV) grids pose diverse challenges for successful grid operation. The main one is to guarantee power quality by ensuring that voltages along all the feeders ... -
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference lecture
Open AccessThis paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. ... -
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Restricted access - publisher's policyThe lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a ...
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