Shebin Jose Jacob / Package Tracker Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

Test data

Set confidence 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 Accuracy Result
Idle.3afuceju.s15 Idle 11s 100% 46 Idle
Show classification Show in data acquisition
Idle.3afuceju.s10 Idle 11s 100% 46 Idle
Show classification Show in data acquisition
Idle.3afuceju.s5 Idle 11s 100% 46 Idle
Show classification Show in data acquisition
Vigorous_shaking.3aft7a07 Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3aft6nta Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3aft35fm Vigorous_shaking 10s 95% 40 Vigorous_shaking, 2 Throwing
Show classification Show in data acquisition
Vigorous_shaking.3aft16s3 Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3afsr8h6 Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3afsqfvr Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3afso1ss Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3afsnfov Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Hard_Fall.3afoqrk4 Hard_Fall 4s 91% 10 Hard_Fall, 1 Throwing
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Hard_Fall.3afopo0p Hard_Fall 4s 100% 11 Hard_Fall
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Hard_Fall.3afokj6g Hard_Fall 4s 91% 10 Hard_Fall, 1 Idle
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Hard_Fall.3afojl0e Hard_Fall 4s 100% 11 Hard_Fall
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Hard_Fall.3afoc1sq Hard_Fall 10s 83% 35 Hard_Fall, 5 Idle, 1 Throwing, 1 uncertain
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Throwing.3afnp91g Throwing 10s 71% 30 Throwing, 7 Hard_Fall, 2 Normal_carrying, 2 uncertain, 1 Idle
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Throwing.3afnmfh1 Throwing 10s 88% 37 Throwing, 5 Vigorous_shaking
Show classification Show in data acquisition
Throwing.3afnhu3b Throwing 10s 74% 31 Throwing, 8 Vigorous_shaking, 2 uncertain, 1 Hard_Fall
Show classification Show in data acquisition
Throwing.3afnf6ns Throwing 10s 95% 40 Throwing, 1 Vigorous_shaking, 1 uncertain
Show classification Show in data acquisition
Throwing.3afncfng Throwing 10s 100% 42 Throwing
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Throwing.3afn8u26 Throwing 10s 93% 39 Throwing, 2 Hard_Fall, 1 Vigorous_shaking
Show classification Show in data acquisition
Throwing.3afn0gpa Throwing 10s 81% 34 Throwing, 7 Vigorous_shaking, 1 uncertain
Show classification Show in data acquisition
Throwing.3aa4c76m Throwing 10s 62% 26 Throwing, 13 Hard_Fall, 2 Normal_carrying, 1 uncertain
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Normal_carrying.3aa3q67h Normal_carrying 10s 100% 42 Normal_carrying
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Normal_carrying.3aa3ng99 Normal_carrying 10s 52% 22 Normal_carrying, 16 Throwing, 3 uncertain, 1 Hard_Fall
Show classification Show in data acquisition
Normal_carrying.3aa3ki1d Normal_carrying 10s 100% 42 Normal_carrying
Show classification Show in data acquisition
Normal_carrying.3aa3f3sv Normal_carrying 10s 100% 42 Normal_carrying
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Normal_carrying.3aa3dh7o Normal_carrying 10s 95% 40 Normal_carrying, 2 Hard_Fall
Show classification Show in data acquisition
Normal_carrying.3aa3aldh Normal_carrying 10s 100% 42 Normal_carrying
Show classification Show in data acquisition
Normal_carrying.3aa35cm2 Normal_carrying 10s 95% 40 Normal_carrying, 2 uncertain
Show classification Show in data acquisition
Hard_Fall.3aa0v80j Hard_Fall 10s 98% 41 Hard_Fall, 1 Idle
Show classification Show in data acquisition
Hard_Fall.3aa0qtn6 Hard_Fall 10s 52% 22 Hard_Fall, 8 Throwing, 7 Vigorous_shaking, 5 uncertain
Show classification Show in data acquisition
Vigorous_shaking.3aa0ivqm Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3aa0h17p Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition
Vigorous_shaking.3aa0dqcf Vigorous_shaking 10s 100% 42 Vigorous_shaking
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
91.93%

Confusion matrix

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Feature explorer

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