AAU-CREATE / MLMP-EKMAN-FER-MOCAP Public

This lists all test data. You can manage this data through Data acquisition.

Test data

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
Surprise_3_iPhone_edgeimpulse	surprise	11s	84%	27 surprise, 5 anger	Show classification Show in data acquisition Show in feature explorer
Sadness_3_iPhone_edgeimpulse	sadness	12s	36%	23 fear, 13 sadness	Show classification Show in data acquisition Show in feature explorer
Neutral_3_iPhone_edgeimpulse	neutral	11s	100%	33 neutral	Show classification Show in data acquisition Show in feature explorer
Happiness_3_iPhone_edgeimpulse	happiness	11s	97%	31 happiness, 1 disgust	Show classification Show in data acquisition Show in feature explorer
Fear_3_iPhone_edgeimpulse	fear	12s	100%	34 fear	Show classification Show in data acquisition Show in feature explorer
Disgust_3_iPhone_edgeimpulse	disgust	13s	81%	30 disgust, 7 fear	Show classification Show in data acquisition Show in feature explorer
Anger_3_iPhone_edgeimpulse	anger	12s	0%	33 disgust, 3 neutral	Show classification Show in data acquisition Show in feature explorer

Model testing output

Results

Accuracy

70.00%

Metrics for Classifier

Metric	Value
Area under ROC Curve	0.94
Weighted average Precision	0.69
Weighted average Recall	0.70
Weighted average F1 score	0.65

Confusion matrix

Feature explorer

Every learning block has a threshold. This can be the minimum confidence that a neural network needs to have, or the maximum anomaly score before a sample is tagged as an anomaly. You can configure these thresholds to tweak the sensitivity of these learning blocks. This affects both live classification and model testing.

Classifier

Minimum confidence rating

Should be numeric

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	Name
	Cumhur Erkut

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Target device

Define your target device requirements to inform model optimizations and performance calculations. No device yet? Use the default settings which you can change at any time.

Target device

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Specify the available RAM and ROM for the model's operation, along with the maximum allowed latency for your specific application. Not sure yet? Start with the defaults and modify them later on.

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| ms

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Test data

Model variants

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