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Live demonstration: Event-Driven Deep Neural Network Hardware System for Sensor Fusion


Kiselev, Ilya; Neil, Daniel; Liu, Shih-Chii (2016). Live demonstration: Event-Driven Deep Neural Network Hardware System for Sensor Fusion. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2016, Montreal, Canada, 22 May 2016 - 25 May 2016.

Abstract

We demonstrate an interactive digit recognition system using a spiking Deep Neural Network (DNN) FPGA-based system connected to two event-driven sensors: a Dynamic Vision Sensor (DVS) and a Dynamic Audio Sensor (DAS). Sensor fusion is demonstrated on a digit classification task using a DNN trained on the MNIST dataset supplemented by assignment of a unique pure ton e for each digit.

Abstract

We demonstrate an interactive digit recognition system using a spiking Deep Neural Network (DNN) FPGA-based system connected to two event-driven sensors: a Dynamic Vision Sensor (DVS) and a Dynamic Audio Sensor (DAS). Sensor fusion is demonstrated on a digit classification task using a DNN trained on the MNIST dataset supplemented by assignment of a unique pure ton e for each digit.

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Additional indexing

Item Type:Conference or Workshop Item (Speech), original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:25 May 2016
Deposited On:27 Jan 2017 08:35
Last Modified:30 Aug 2017 14:38
Publisher:Proceedings of 2016 IEEE International Symposium on Circuits and Systems (ISCAS)
Series Name:IEEE Int. Symposium on Circuits and Systems (ISCAS)
Publisher DOI:https://doi.org/10.1109/ISCAS.2016.7527270

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