Search Results - "Cristina Losada Gutiérrez"
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How to select the electronic target for robot trajectory tracking Lyapunov‐based controllers: Comparative study and experimental results
Published in Electronics letters (01-08-2023)“…The proper sizing of the electronic target to implement complex controllers is barely tackled at engineering schools. An incorrect selection leads, at best, to…”
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Smart Video Surveillance System Based on Edge Computing
Published in Sensors (Basel, Switzerland) (23-04-2021)“…New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems…”
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Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild
Published in Sensors (Basel, Switzerland) (09-06-2021)“…Surveillance cameras are being installed in many primary daily living places to maintain public safety. In this video-surveillance context, anomalies occur…”
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A new framework for deep learning video based Human Action Recognition on the edge
Published in Expert systems with applications (15-03-2024)“…Nowadays, video surveillance systems are commonly found in most public and private spaces. These systems typically consist of a network of cameras that feed…”
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People re-identification using depth and intensity information from an overhead camera
Published in Expert systems with applications (15-11-2021)“…•People re-identification from top-view depth and intensity images.•Experimental results on two different datasets.•Achieves precision over 96% in…”
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Real-time human action recognition using raw depth video-based recurrent neural networks
Published in Multimedia tools and applications (01-05-2023)“…This work proposes and compare two different approaches for real-time human action recognition (HAR) from raw depth video sequences. Both proposals are based…”
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Fast heuristic method to detect people in frontal depth images
Published in Expert systems with applications (15-04-2021)“…•Robust system to detect people only using depth information from a frontal ToF camera.•Proposal based on biometric features of the human head.•System…”
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3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information
Published in Multimedia tools and applications (01-07-2022)“…This work describes an end-to-end approach for real-time human action recognition from raw depth image-sequences. The proposal is based on a 3D fully…”
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Filling the Gap between Research and Market: Portable Architecture for an Intelligent Autonomous Wheelchair
Published in International journal of environmental research and public health (10-01-2023)“…Under the umbrella of assistive technologies research, a lot of different platforms have appeared since the 1980s, trying to improve the independence of people…”
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Comparing the Performance of Indoor Localization Systems through the EvAAL Framework
Published in Sensors (Basel, Switzerland) (13-10-2017)“…In recent years, indoor localization systems have been the object of significant research activity and of growing interest for their great expected social…”
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A realistic evaluation of indoor robot position tracking systems: The IPIN 2016 competition experience
Published in Measurement : journal of the International Measurement Confederation (01-03-2019)“…•The IPIN 2016 Track 4 competition focused on indoor mobile robot positioning.•Location estimation of an industrial mobile robot tracking a continuous…”
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12
Remote Control of a Robotic Unit: A Case Study for Control Engineering Formation
Published in IEEE transactions on education (01-11-2020)“…Hands-on experimentation has widely demonstrated its efficacy in engineering training, especially in control formation, since experimentation using…”
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Protocol for the Development of Automatic Multisensory Systems to Analyze Human Activity for Functional Evaluation: Application to the EYEFUL System
Published in Applied sciences (01-04-2024)“…The EYEFUL system represents a pioneering initiative designed to leverage multisensory systems for the automatic evaluation of functional ability and…”
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14
Educational Project Eurobot Spain
Published in 2022 Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (XV Technologies Applied to Electronics Teaching Conference) (29-06-2022)“…This work presents an educational project developed within the organization of the robotics contest Eurobot Spain. The aim is promoting interest in STEM areas…”
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Conference Proceeding -
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Headgear Accessories Classification Using an Overhead Depth Sensor
Published in Sensors (Basel, Switzerland) (10-08-2017)“…In this paper, we address the generation of semantic labels describing the headgear accessories carried out by people in a scene under surveillance, only using…”
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RE-IDENTIFICACIÓN DE PERSONAS UTILIZANDO ÚNICAMENTE INFORMACIÓN DE PROFUNDIDAD
Published in Telem@tica (La Habana) (01-09-2019)“…La re-identificación de personas, entendida como el reconocimiento de un individuo observado previamente por otro sensor, es un campo que ha adquirido gran…”
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Robust people detection using depth information from an overhead Time-of-Flight camera
Published in Expert systems with applications (01-04-2017)“…•Robust system to detect people only using depth information from a ToF camera.•Refined algorithm for determining the regions of interest.•Classifier stage to…”
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DPDnet: A robust people detector using deep learning with an overhead depth camera
Published in Expert systems with applications (15-05-2020)“…•Robust system to detect people only using depth information from a ToF camera.•System outperforms state-of-the-art methods in different datasets without…”
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Towards dense people detection with deep learning and depth images
Published in Engineering applications of artificial intelligence (01-11-2021)“…This paper describes a novel DNN-based system, named PD3net, that detects multiple people from a single depth image, in real time. The proposed neural network…”
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Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks
Published 13-06-2020“…As in many other different fields, deep learning has become the main approach in most computer vision applications, such as scene understanding, object…”
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Journal Article