Ponencia
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
Autor/es | Ríos Navarro, José Antonio
Domínguez Morales, Juan Pedro Tapiador Morales, Ricardo Domínguez Morales, Manuel Jesús Jiménez Fernández, Ángel Francisco Linares Barranco, Alejandro |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2016 |
Fecha de depósito | 2020-01-21 |
Publicado en |
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ISBN/ISSN | 978-3-319-44777-3 0302-9743 |
Resumen | 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 ... 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. |
Identificador del proyecto | TEC2012-37868-C04-02
P12-TIC-1300 |
Cita | 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. |
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