Francisco (Paco) Florez-Revuelta

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My main research work is in the areas of computational intelligence (neural networks, evolutionary computation), computer vision, and image processing. All this expertise is applied in a varierty of solutions for person-environment interaction, technologies for active and assisted living, intelligent environments, and economic analysis. Over the years, I have been the project manager/principal investigator of different European, national and regional projects in the application of computer vision to smart homes.

ambient assisted living computer vision human action recognition evolutionary computation kinect privacy intelligent environments topology preservation smart home assisted living self-organizing neural networks home automation future technology monitoring bag of key poses gait analysis rgb colour space mathematical morphology wavelet electrical consumption ambient intelligence ixmas dataset image processing silhouette skeleton rgb-d cameras fusion local labour markets growing neural gas geodesic topographic product feature selection genetic algorithm local labor markets delineation domotics human-computer interaction living lab

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Francisco (Paco) Florez-Revuelta

Presentations

Metaltic

Use of Kinect in a Smart Home

Ambient Assisted Living. ICT for the support of the daily living of elderly and disabled people

Specific crossover and mutation operators for a grouping problem based on interaction data in a Regional Science context

Human action recognition optimization based on evolutionary feature

Producto Topográfico Geodésico: Mejora para medir la preservación de la topología

Analysis of the topology preservation of accelerated Growing Neural Gas in the representation of bidimensional objects

Fusion of Skeletal and Silhouette-based Features for Human Action Recognition with RGB-D Devices

Evolutionary algorithm for dense pixel matching in presence of distortions

Vision-based monitoring of people in private spaces

Continuous human action recognition in ambient assisted living scenarios

Visual Privacy by Context: A Level-Based Visualisation Scheme - UCAmI 2014

A Multiple Kernel Learning Based Fusion Framework for Real-Time Multi-View Action Recognition

Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses

Topology-Preserving Ordering of the RGB Space with an Evolutionary Algorithm

Visual monitoring of people in private spaces

AAL Forum 2016

Documents

Visual monitoring of people in private spaces. From the “Big Brother” to the “Good Brother”

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