dc.creator | Ríos Navarro, José Antonio | es |
dc.creator | Domínguez Morales, Juan Pedro | es |
dc.creator | Tapiador Morales, Ricardo | es |
dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2020-01-21T11:05:37Z | |
dc.date.available | 2020-01-21T11:05:37Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Rios Navarro, A., Domínguez Morales, J.P., Tapiador Morales, R., Domínguez Morales, M.J., Jiménez Fernández, Á.F. y Linares Barranco, A. (2016). A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker. En ICANN 2016: 25th International Conference on Artificial Neural Networks (36-44), Barcelona, España: Springer. | |
dc.identifier.isbn | 978-3-319-44777-3 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91998 | |
dc.description.abstract | The study and monitoring of the behavior of wildlife has always been
a subject of great interest. Although many systems can track animal positions
using GPS systems, the behavior classification is not a common task. For this
work, a multi-sensory wearable device has been designed and implemented to be
used in the Doñana National Park in order to control and monitor wild and semiwild
life animals. The data obtained with these sensors is processed using a
Spiking Neural Network (SNN), with Address-Event-Representation (AER)
coding, and it is classified between some fixed activity behaviors. This works
presents the full infrastructure deployed in Doñana to collect the data, the wearable
device, the SNN implementation in SpiNNaker and the classification
results. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2012-37868-C04-02 | es |
dc.description.sponsorship | Junta de Andalucía P12-TIC-1300 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | ICANN 2016: 25th International Conference on Artificial Neural Networks (2016), p 36-44 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | SpiNNaker | es |
dc.subject | Spiking neural network | es |
dc.subject | Pattern classification | es |
dc.subject | Horse gait | es |
dc.subject | IMU | es |
dc.subject | Integrate-and-fire | es |
dc.subject | Caffe | es |
dc.title | A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker | 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 | es |
dc.relation.projectID | P12-TIC-1300 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-44778-0_5 | es |
dc.identifier.doi | 10.1007/978-3-319-44778-0_5 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 9 | es |
dc.publication.initialPage | 36 | es |
dc.publication.endPage | 44 | es |
dc.eventtitle | ICANN 2016: 25th International Conference on Artificial Neural Networks | es |
dc.eventinstitution | Barcelona, España | es |
dc.relation.publicationplace | Berlin | es |