Luciano / motion-classification Public

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

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motion-classification

Accelerometer

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Data (46 samples)

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idle.3gfqmvrn

ID: 157002754

Label: idle

Sample length: 10s

terrestrial.3gfpkfn1

ID: 157002782

Label: terrestrial

Sample length: 10s

idle.3gfqlff5

ID: 157002755

Label: idle

Sample length: 10s

idle.3gfqiocc

ID: 157002761

Label: idle

Sample length: 10s

lift.3gfq0nga

ID: 157002770

Label: lift

Sample length: 10s

terrestrial.3gfpo17h

ID: 157002778

Label: terrestrial

Sample length: 10s

maritime.3gfq83ui

ID: 157002766

Label: maritime

Sample length: 10s

maritime.3gfq6avs

ID: 157002769

Label: maritime

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

98.9%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Unoptimized (float32))

Latency

13 ms.

Peak RAM usage

2.6K

Flash usage

16.8K

Run this model

On any device

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Dataset summary

Data collected

7m 40s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

idle, lift, maritime, terrestrial

Project info

Project ID	150502
Project version	1
License	Apache 2.0
No. of views	3,681
No. of clones	0