End-to-End Rapid FPGA Prototyping for Embedded Proactive BMI Control

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Abstrakt

This paper presents an end-to-end rapid prototyping methodology that performs automated and efficient mapping of desired neural networks onto FPGA. The design automation agent is considered as Autobot. An early prototype with the hardware decoder generated on the FPGA has been built, and its functionality has been evaluated. The experimental results show that Autobot can offer rapid end-to-end prototyping for neural network hardware generation for proactive BMI control.

OriginalsprogEngelsk
Titel2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
ForlagIEEE
Publikationsdato28. sep. 2020
Artikelnummer9258186
ISBN (Elektronisk)9781728173993
DOI
StatusUdgivet - 28. sep. 2020
Begivenhed7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
Varighed: 28. sep. 202030. sep. 2020

Konference

Konference7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
LandTaiwan
ByTaoyuan
Periode28/09/202030/09/2020
NavnIEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
Vol/bind2020
ISSN2575-8284

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