Edge Impulse Experts / Muse blinks separately recorded Public
Target: Cortex-M4F 80MHz Clone this project

Test data

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Model variants
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Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Length Accuracy Result
Noise.2022-09-18 11_15_57.180036 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_16_05.319012 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_16_17.568845 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_18_45.215566 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 11_16_21.619175 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_16_23.666493 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_16_54.434313 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 11_19_07.543151 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 11_17_17.186194 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 11_17_35.456685 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_17_43.620410 1 20ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 11_17_41.567684 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 11_17_53.834064 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_19_03.472315 1 19ms 0% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_18_20.455866 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 11_18_32.936556 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_53_41.474693 1 20ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_55_01.274909 1 20ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_55_07.516940 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_55_25.995824 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_55_30.173751 Noise 20ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_55_36.324743 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_55_54.827257 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_56_00.919983 Noise 20ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_56_40.205414 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_58_00.414895 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_56_50.347927 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_56_46.319756 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_56_52.396563 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_58_06.531094 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_57_02.556611 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_57_14.917881 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_57_27.466732 Noise 20ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
1.2022-09-18 10_57_41.949423 1 19ms 100% 1 1
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_57_39.894421 Noise 19ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
Noise.2022-09-18 10_58_22.863264 Noise 18ms 100% 1 Noise
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
97.22%

Confusion matrix

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Feature explorer

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