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1 Ergebnisse
1
An Edge AI Accelerator Design Based on LRCN Model for Real-..:
, In:
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)
,
Li, Jia-Yu
;
Chen, Yi-Kai
;
Fang, Wai-Chi
- p. 89-90 , 2023
Link:
https://doi.org/10.1109/GCCE59613.2023.10315393
RT T1
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)
: T1
An Edge AI Accelerator Design Based on LRCN Model for Real-time EEG-based Emotion Detection System on the RISC-V FPGA Platform
UL https://suche.suub.uni-bremen.de/peid=ieee-10315393&Exemplar=1&LAN=DE A1 Li, Jia-Yu A1 Chen, Yi-Kai A1 Fang, Wai-Chi YR 2023 SN 2693-0854 K1 Performance evaluation K1 Emotion recognition K1 Power demand K1 Convolution K1 Computer architecture K1 Brain modeling K1 Energy efficiency K1 Affective Computing K1 Electroencephalogram K1 Accelerator K1 LRCN K1 Deep Learning SP 89 OP 90 LK http://dx.doi.org/https://doi.org/10.1109/GCCE59613.2023.10315393 DO https://doi.org/10.1109/GCCE59613.2023.10315393 SF ELIB - SuUB Bremen
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