• A bottom-up robot architecture based on learnt behaviors driven design 

      Herrero-Reder, Ignacio; Urdiales, Cristina; Peula Palacios, Jose Manuel; Sandoval-Hernandez, Francisco (2015-06-17)
      In reactive layers of robotic architectures, behaviors should learn their operation from experience, following the trends of modern intelligence theories. A Case Based Reasoning (CBR) reactive layer could allow to achieve ...
    • An evaluation of two distributed deployment algorithms for Mobile Wireless Sensor Networks 

      Aguilera, Francisco; Urdiales, Cristina; Sandoval-Hernandez, Francisco (2015-12-14)
      Deployment is important in large wireless sensor networks (WSN), specially because nodes may fall due to failure or battery issues. Mobile WSN cope with deployment and reconfiguration at the same time: nodes may move ...
    • Architecture for Neurological Coordination Tests Implementation 

      Velazquez-Mariño, Michel; Atencia-Ruiz, Miguel Alejandro; García-Bermúdez, Rodolfo; Sandoval-Hernandez, Francisco; Pupo-Ricardo, Daniel (Springer, 2017-06)
      This paper proposes a generic architecture for devising interactive neurological assessment tests, aimed at being implemented on a touchscreen device. The objective is both to provide a set of software primitives that ...
    • Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment 

      Velázquez Mariño, Michel; Atencia-Ruiz, Miguel Alejandro; García Bermúdez, Rodolfo; Pupo-Ricardo, Daniel; Becerra García, Roberto; [et al.] (2015-06-18)
      El test Finger-to-nose test (FNT) es una evaluación neurológica para estudiar la coordinación. Se presenta una metodología de análisis de datos de FNT, que permite evaluar la evolución del estado de enfermos de Ataxia ...
    • A Neural Network for Stance Phase detection in smart cane users 

      Caro-Romero, Juan; Ballesteros, Joaquín; García-Lagos, Francisco; Urdiales, Cristina; Sandoval-Hernandez, Francisco (2019-06-10)
      Persons with disabilities often rely on assistive devices to carry on their Activities of Daily Living. Deploying sensors on these devices may provide continuous valuable knowledge on their state and condition. Canes are ...
    • Segmentación espacio-temporal de imágenes mediante estructuras jerárquicas de enlace adaptativo 

      Rodríguez Fernández, Juan Antonio (Universidad de Málaga, Servicio de Publicaciones, 2001)
      Esta tesis presenta una nueva técnica de segmentación espacio-temporal de imágenes para entornos reales. Los meétodos existentes funcionan sólo bajo unas condiciones muy restrictivas que impiden su aplicación a un ...
    • Sistema sensorial para control y localización de vehículos en exteriores 

      Pozo-Ruz, Ana (Universidad de Málaga, Servicio de Publicaciones, 2001)
      Esta tesis se ocupa de la resolucion del problema de posicionamiento y localización de un vehiculo en un entorno natural. Tras una revision de los diferentes sistemas para el conocimiento de lo posición del vehiculo en ...
    • Smartphone-Based Vehicle Emission Estimation 

      Cerón, María; Fernández-Carmona, Manuel; Urdiales, Cristina; Sandoval-Hernandez, Francisco (Springer, 2018)
      Intelligent Transportation Systems are expected to contribute to reduce vehicle emissions. Solutions include user behavior changes, which are typically vehicle sharing programs and driving habits changes. To change driving ...
    • Towards a Shared Control Navigation Function:Efficiency Based Command Modulation 

      Fernández-Carmona, Manuel; Peula Palacios, José Manuel; Urdiales, Cristina; Sandoval-Hernandez, Francisco (2015-07-07)
      This paper presents a novel shared control algorithm for robotized wheelchairs. The proposed algorithm is a new method to extend autonomous navigation techniques into the shared control domain. It reactively combines ...
    • Uncertainty analysis of ANN based spectral analysis using Monte Carlo method 

      Salinas, J.R.; García-Lagos, Francisco; Díaz-de-Aguilar, J; Joya-Caparrós, Gonzalo; Sandoval-Hernandez, Francisco (Springer, 2017-06)
      Uncertainty analysis of an Artificial Neural Network (ANN) based method for spectral analysis of asynchronously sampled signals is performed. Main uncer-tainty components contributions, jitter and quantization noise, are ...