Table 2 Three architectures found by MicroNAS for the SkodaR dataset compared to SOTA classifiers8,19,21,25.

From: MicroNAS for memory and latency constrained hardware aware neural architecture search in time series classification on microcontrollers

Model

Device

#Params

Latency (ms)

Peak memory (B)

Accuracy non-quant (%)

Accuracy quant (%)

F1-Score non-quant (%)

F1-Score quant (%)

MicroNAS 1

NUCLEO

4602.00

48.00

8640.00

\(90.30 \pm 0.00\)

\(90.71 \pm 0.00\)

\(91.32 \pm 0.03\)

\(90.14 \pm 0.06\)

MicroNAS 2

NUCLEO

31258.00

225.00

24576.00

\(96.39 \pm 0.06\)

\(95.81 \pm 0.03\)

\(96.41 \pm 0.38\)

\(95.30 \pm 0.55\)

MicroNAS 3

NUCLEOF446RE

5678.00

28.00

5840.00

\(91.02 \pm 0.44\)

\(92.59 \pm 0.64\)

\(91.14 \pm 0.14\)

\(91.87 \pm 0.05\)

MicroNAS 4

NUCLEOF446RE

50018.00

189.00

28800.00

\(96.99 \pm 0.15\)

\(97.50 \pm 0.32\)

\(97.00 \pm 0.14\)

\(96.62 \pm 0.50\)

MicroNAS 5

PORTENTA

3567.00

4.25

7248.00

\(92.76 \pm 0.32\)

\(92.46 \pm 0.21\)

\(91.44 \pm 0.28\)

\(91.49 \pm 0.69\)

MicroNAS 6

PORTENTA

81675.00

60.50

33120.00

\(97.93 \pm 0.16\)

\(97.52 \pm 0.11\)

\(97.27 \pm 0.11\)

\(96.57 \pm 0.03\)

DeepConvLSTM

Desktop

1.1M

NA*

NA*

NA*

NA*

98.99

NA*

Mahmud et al.

Desktop

NA*

NA*

NA*

NA*

NA*

97

NA*

TinyHar

Desktop

114540

ND*

ND*

98.45

ND*

98.27

ND*

MLP-HAR

Desktop

175054

ND*

ND*

94.74

ND*

93.11

ND*

SVC

Desktop

83.28

77.73

RF

Desktop

92.88

91.67

DT

Desktop

87.62

85.58

LR

Desktop

89.47

87.52

DARTS-softmax

Nucleo-L552ZE-Q

126414

1125.76

30768

91.26

90.77

91.26

86.16

DARTS-gumbel

Nucleo-L552ZE-Q

Failed**

  1. NA* Data not available from the source (experiment from the literature)
  2. ND* Model cannot run on MCUs (self-conducted experiment)