Marcelo Rovai / IESTI01 - Motion Classification - Version 2 Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

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IESTI01 - Motion Classification - Version 2

Accelerometer

About this project

The Spectral Analysis Block Calculation can be found in the notebook:

https://github.com/Mjrovai/TinyML4D/blob/main/SciTinyM-2023/Edge_Impulse-Spectral_Analysis_Block/Edge_Impulse_Spectral_Analysis_Block_V3.ipynb

Data (43 samples)

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idle.34cqvupv.ingestion-65bfb76ddd-vl9kr

ID: 221332784

Label: idle

Sample length: 10s

idle.34cqtmn9.ingestion-65bfb76ddd-n9fzx

ID: 221332782

Label: idle

Sample length: 10s

maritime.34cqqb0j.ingestion-65bfb76ddd-vl9kr

ID: 221332763

Label: maritime

Sample length: 10s

idle.34cqt5h4.ingestion-65bfb76ddd-vl9kr

ID: 221332773

Label: idle

Sample length: 10s

maritime.34cql20d.ingestion-65bfb76ddd-n9fzx

ID: 221332772

Label: maritime

Sample length: 10s

terrestrial.34cq410o.ingestion-65bfb76ddd-zzcf6

ID: 221332757

Label: terrestrial

Sample length: 10s

lift.34cqftn5.ingestion-65bfb76ddd-n9fzx

ID: 221332780

Label: lift

Sample length: 10s

maritime.34cqmnba.ingestion-65bfb76ddd-vl9kr

ID: 221332776

Label: maritime

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

96.4%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

8 ms.

Peak RAM usage

3.0K

Flash usage

18.8K

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Dataset summary

Data collected

7m 10s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

idle, lift, maritime, terrestrial

Project info

Project ID	198358
Project version	1
License	Apache 2.0
No. of views	10,660
No. of clones	15