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Browsing by Author "Ríos Navarro, José Antonio"
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Presentation
A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging
Ríos Navarro, José Antonio; Domínguez Morales, Juan Pedro; Tapiador Morales, Ricardo; Gutiérrez Galán, Daniel; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (IEEE Computer Society, 2016)Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or ...
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Article
A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders
Piñero Fuentes, Enrique; Canas Moreno, Salvador; Ríos Navarro, José Antonio; Domínguez Morales, Manuel Jesús; Sevillano Ramos, José Luis; Linares Barranco, Alejandro (MDPI, 2021)The change from face-to-face work to teleworking caused by the pandemic has induced multiple workers to spend more time ...
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Presentation
A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring
Durán López, Lourdes; Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Jiménez Fernández, Ángel Francisco; Cascado Caballero, Daniel; Linares Barranco, Alejandro (ScitePress Digital Library, 2019)Along with the proliferation of mobile devices and wireless signal coverage, IoT devices, such as smart wristbands for ...
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Presentation
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
Ríos Navarro, José Antonio; Domínguez Morales, Juan Pedro; Tapiador Morales, Ricardo; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Springer, 2016)The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems ...
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Presentation
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets
Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Springer, 2017)Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different ...
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Chapter of Book
Adaptación de prácticas de laboratorio presenciales a no presenciales debido a la COVID-19: Descripción, análisis y evaluación de una propuesta fallida
Gutiérrez Galán, Daniel; Durán López, Lourdes; Domínguez Morales, Juan Pedro; Ríos Navarro, José Antonio (Dykinson, 2021) -
Chapter of Book
Adaptando ABP en las prácticas de laboratorio de Robótica Industrial para buscar el alineamiento con la práctica laboral
Ríos Navarro, José Antonio; Durán López, Lourdes; Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro (Dykinson, 2021) -
Article
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics
Linares Barranco, Alejandro; Liu, Hongjie; Ríos Navarro, José Antonio; Gómez Rodríguez, Francisco de Asís; Moeys, Diederick P.; Delbruck, Tobi (MDPI, 2018)Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural ...
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Presentation
Aprendizaje basado en proyectos en el ámbito de la Ingeniería de la Salud: desarrollo de sistemas para la rehabilitación y la ayuda a la discapacidad
Durán López, Lourdes; Gutiérrez Galán, Daniel; Cerezuela Escudero, Elena; Ríos Navarro, José Antonio; Domínguez Morales, Juan Pedro (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)El reciente Grado en Ingeniería de la Salud se originó con el planteamiento de cubrir la carencia de conoci miento sobre ...
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Presentation
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs
Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Linares Barranco, Alejandro; Kim, Minkyu; Kadetotad, Deepak; Seo, Jae-sun (Springer, 2017)Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ...
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Article
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Linares Barranco, Alejandro; Kim, Minkyu; Kadetotad, Deepak; Seo, Jae-Sun (Cornell University, 2016)Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ...
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Presentation
Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld
Linares Barranco, Alejandro; Jiménez Fernández, Ángel Francisco; Jiménez Moreno, Gabriel; Gutiérrez Galán, Daniel; Ríos Navarro, José Antonio (3 ciencias. Área de Innovación y Desarrollo,S.L, 2019)Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, ...
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Article
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
Linares Barranco, Alejandro; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Delbruck, Tobi (Cornell University, 2019)Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural ...
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Presentation
ED-Scorbot: A Robotic test-bed Framework for FPGA-based Neuromorphic systems
Gómez Rodríguez, Francisco de Asís; Jiménez Fernández, Ángel Francisco; Pérez Peña, Fernando; Miró Amarante, María Lourdes; Domínguez Morales, Manuel Jesús; Ríos Navarro, José Antonio; Cerezuela Escudero, Elena; Cascado Caballero, Daniel; Linares Barranco, Alejandro (IEEE Computer Society, 2016)Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and brain understanding applied ...
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Presentation
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
Gao, Chang; Ríos Navarro, José Antonio; Chen, Xi; Delbruck, Tobi; Liu, Shih-Chii (IEEE Xplore, 2020-09)This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called Edge-DRNN designed ...
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Article
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Gao, Chang; Ríos Navarro, José Antonio; Chen, Xi; Liu, Shih-Chii; Delbruck, Tobi (IEEE Xplore, 2020-12)Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for ...
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Presentation
Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo
Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Jiménez Moreno, Gabriel; Linares Barranco, Alejandro (ACM Digital Library, 2019)This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera ...
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Article
Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC
Ríos Navarro, José Antonio; Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Piñero-Fuentes, Enrique; Durán López, Lourdes; Tapiador Morales, Ricardo; Domínguez Morales, Manuel Jesús (MDPI, 2021-01)The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive ...
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Article
Embedded neural network for real-time animal behavior classification
Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Cerezuela Escudero, Elena; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Rivas Pérez, Manuel; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Elsevier, 2018)Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain ...
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PhD Thesis
Evaluación y análisis de una aproximación a la fusión sensorial neuronal mediante el uso de sensores pulsantes de visión / audio y redes neuronales de convolución
Ríos Navarro, José Antonio (2017-07-19)En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep ...