Live Demonstration: Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform
| Autor: | Elena Cerezuela-Escudero, Fernando Perez-Peña, Arturo Morgado-Estevez, Angel Jimenez-Fernandez |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Signal processing business.industry Computer science 02 engineering and technology Acoustic source localization 020901 industrial engineering & automation medicine.anatomical_structure Neuromorphic engineering 0202 electrical engineering electronic engineering information engineering medicine Auditory system 020201 artificial intelligence & image processing Computer vision Spike (software development) Artificial intelligence business Binaural recording |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname ISCAS |
| Popis: | This live demonstration presents a sound source localization and tracking system implemented with Spike Signal Processing (SSP) building blocks on FPGA devices. The system architecture is based on the ability of the mammalian auditory system to locate the direction of a sound in the horizontal plane using the interaural intensity difference. We used a binaural Neuromorphic Auditory Sensor to obtain spike rates similar to those generated by the inner hair cells of the human auditory system and the component that obtains the interaural intensity difference is inspired by the lateral superior olive. The spike stream that represents the interaural intensity difference is used to turn a robotic platform towards the sound source direction. The system was tested with pure tones (1-kHz, 2.5-kHz and 5- kHz sounds) with an average error of 2.32 degrees. Ministerio de Economía y Competitividad TEC2016-77785-P |
| Databáze: | OpenAIRE |
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