Nordic Semiconductor / nrf_accel_hw Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Anomaly Accuracy Result
anomaly.json.23n6nhkc anomaly 30s 3.19 99% 296 anomaly, 2 rotate
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anomaly_shake anomaly 30s 13.98 100% 298 anomaly
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idle.json.23n6d7jc idle 30s -0.36 100% 298 idle
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idle.json.23n6bjtu idle 30s -0.36 100% 298 idle
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rotate.json.23n5falt rotate 15s -0.52 88% 128 rotate, 8 uncertain, 5 anomaly, 4 tap
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rotate.json.23n5c8p7 rotate 15s -0.60 84% 121 rotate, 14 uncertain, 7 tap, 2 updown
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tap.json.23n57vm7 tap 1s -0.35 100% 2 tap
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tap.json.23n57onk tap 1s -0.35 100% 2 tap
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tap.json.23n577n7 tap 1s -0.26 100% 2 tap
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tap.json.23n570f8 tap 1s -0.61 100% 2 tap
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tap.json.23n56kfu tap 1s -0.30 100% 2 tap
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tap.json.23n55nrv tap 1s -0.60 100% 2 tap
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tap.json.23n55h7b tap 1s -0.42 50% 1 rotate, 1 tap
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tap.json.23n559ep tap 1s -0.27 100% 2 tap
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tap.json.23n54sjh tap 1s -0.16 100% 2 tap
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tap.json.23n53ivb tap 1s -0.38 100% 2 tap
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tap.json.23n539qi tap 1s -0.30 50% 1 tap, 1 uncertain
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tap.json.23n52nmg tap 1s -0.40 100% 2 tap
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tap.json.23n52hjt tap 1s -0.45 100% 2 tap
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tap.json.23n52aoq tap 1s -0.31 100% 2 tap
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tap.json.23n524o8 tap 1s -0.34 100% 2 tap
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tap.json.23n51o4i tap 1s -0.77 100% 2 tap
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tap.json.23n51b6m tap 1s -0.44 100% 2 tap
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tap.json.23n513cq tap 1s -0.48 100% 2 tap
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tap.json.23n4vjg7 tap 1s -0.40 50% 1 tap, 1 updown
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tap.json.23n4va1p tap 1s -0.43 100% 2 tap
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tap.json.23n4v2vf tap 1s -0.24 100% 2 tap
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tap.json.23n4urj7 tap 1s -0.28 100% 2 tap
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tap.json.23n4ul8l tap 1s -0.34 100% 2 tap
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tap.json.23n4uf0p tap 1s -0.42 100% 2 tap
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tap.json.23n4u1mg tap 1s -0.57 100% 2 tap
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tap.json.23n4treg tap 1s -0.38 100% 2 tap
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anomaly.json.23n227k0 anomaly 20s 18.11 100% 196 anomaly
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rotate.json.23n0j46n rotate 20s -0.57 97% 190 rotate, 3 uncertain, 2 anomaly, 1 updown
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rotate.json.23n0i5ss rotate 20s -0.48 90% 176 rotate, 10 updown, 7 anomaly, 3 uncertain
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updown.json.23n0elcn updown 20s -0.43 100% 196 updown
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updown.json.23n0drpu updown 20s -0.39 99% 195 updown, 1 uncertain
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updown.json.23n0c6om updown 20s -0.31 97% 190 updown, 5 tap, 1 uncertain
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tap.json.23n0anpi tap 1s -0.85 100% 2 tap
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tap.json.23n0a27f tap 1s -0.32 100% 2 tap
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tap.json.23n09raa tap 1s -0.20 100% 2 tap
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tap.json.23n09jrj tap 1s -0.47 50% 1 tap, 1 uncertain
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updown.json.23n04dg6 updown 20s -0.46 94% 184 updown, 6 uncertain, 4 rotate, 2 tap
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tap.json.23js6bt5 tap 1s -0.65 100% 2 tap
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tap.json.23js645h tap 1s -0.36 100% 2 tap
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tap.json.23js5see tap 1s -0.30 100% 2 tap
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tap.json.23js5lbs tap 1s -0.38 0% 2 uncertain
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tap.json.23js51j6 tap 1s -0.31 50% 1 tap, 1 uncertain
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tap.json.23js4a4o tap 1s -0.64 100% 2 tap
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tap.json.23js42vc tap 1s -0.49 50% 1 tap, 1 uncertain
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updown.json.23hl29ef updown 30s -0.62 98% 293 updown, 3 uncertain, 2 rotate
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rotate.json.23hjm4dp rotate 30s -0.54 96% 286 rotate, 8 uncertain, 4 updown
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idle.json.23hjjgjp idle 30s -0.35 100% 298 idle
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Model testing output

Results

Model version:
Accuracy
97.07%

Metrics for NN Classifier

Metric Value
Area under ROC Curve 1.00
Weighted average Precision 0.98
Weighted average Recall 0.98
Weighted average F1 score 0.98

Confusion matrix

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Feature explorer

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