dc.creator | Ríos Navarro, José Antonio | es |
dc.creator | Cerezuela Escudero, Elena | es |
dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2020-01-14T09:18:37Z | |
dc.date.available | 2020-01-14T09:18:37Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Rios Navarro, A., Cerezuela Escudero, E., Domínguez Morales, M.J., Jiménez Fernández, Á.F., Jiménez Moreno, G. y Linares Barranco, A. (2015). Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA. En EBCCSP 2015: International Conference on Event-based Control, Communication, and Signal Processing Krakow, Poland: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4673-7888-8 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91560 | |
dc.description.abstract | Multisensory integration is commonly
used in various robotic areas to collect more
environmental information using different and
complementary types of sensors. Neuromorphic
engineers mimics biological systems behavior to
improve systems performance in solving engineering
problems with low power consumption. This work
presents a neuromorphic sensory integration scenario
for measuring the rotation frequency of a motor using
an AER DVS128 retina chip (Dynamic Vision Sensor)
and a stereo auditory system on a FPGA completely
event-based. Both of them transmit information with
Address-Event-Representation (AER). This
integration system uses a new AER monitor hardware
interface, based on a Spartan-6 FPGA that allows two
operational modes: real-time (up to 5 Mevps through
USB2.0) and data logger mode (up to 20Mevps for
33.5Mev stored in onboard DDR RAM). The sensory
integration allows reducing prediction error of the
rotation speed of the motor since audio processing
offers a concrete range of rpm, while DVS can be
much more accurate. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2012-37868-C04-02/01 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | EBCCSP 2015: International Conference on Event-based Control, Communication, and Signal Processing (2015), | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Address-event-representation | es |
dc.subject | Spike-based filters | es |
dc.subject | Neuromorphic engineering | es |
dc.subject | Event-based vision | es |
dc.subject | DVS | es |
dc.subject | Silicon retina | es |
dc.subject | Sensor integration | es |
dc.title | Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | TEC2012-37868-C04-02/01 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7300696 | es |
dc.identifier.doi | 10.1109/EBCCSP.2015.7300696 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 6 | es |
dc.eventtitle | EBCCSP 2015: International Conference on Event-based Control, Communication, and Signal Processing | es |
dc.eventinstitution | Krakow, Poland | es |
dc.relation.publicationplace | New York, USA | es |