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1
TinyHAR: Benchmarking Human Activity Recognition Systems in..:
, In:
2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
,
Nooruddin, Sheikh
;
Islam, Md. Milon
;
Karray, Fakhri
- p. 1-8 , 2022
Link:
https://doi.org/10.1109/WF-IoT54382.2022.10152039
RT T1
2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
: T1
TinyHAR: Benchmarking Human Activity Recognition Systems in Resource Constrained Devices
UL https://suche.suub.uni-bremen.de/peid=ieee-10152039&Exemplar=1&LAN=DE A1 Nooruddin, Sheikh A1 Islam, Md. Milon A1 Karray, Fakhri YR 2022 K1 Training K1 Performance evaluation K1 Quantization (signal) K1 Recurrent neural networks K1 Power demand K1 Image edge detection K1 Benchmark testing K1 Human Activity Recognition K1 TinyML K1 Edge Devices K1 Convolutional Neural Network K1 Depthwise Separable CNN SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/WF-IoT54382.2022.10152039 DO https://doi.org/10.1109/WF-IoT54382.2022.10152039 SF ELIB - SuUB Bremen
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