Edge Impulse Inc. / LGBM Random Forest Classification Public

Target: Cortex-M7 216MHz Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

LGBM Random Forest Classification

Accelerometer

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (223 samples)

View all

idle.idle6.rsi2eum

ID: 846161627

Label: idle

Sample length: 10s

wave.wave10.rsi2kri

ID: 846161494

Label: wave

Sample length: 5s

snake.snake7.rsi2ho9

ID: 846161606

Label: snake

Sample length: 10s

updown.1jt74h64.ingestion-6c5775b99d-5l54j

ID: 846161563

Label: updown

Sample length: 3s

updown.4.12bgmkj7

ID: 846161539

Label: updown

Sample length: 5s

wave.wave13.rsi2lbq

ID: 846161491

Label: wave

Sample length: 10s

updown.1m1go4ap.ingestion-fd776b99d-l7h5c

ID: 846161560

Label: updown

Sample length: 3s

snake.snake4.rsi2h5e

ID: 846161609

Label: snake

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

99.5%

Test set

96.4%

On-device performance (Cortex-M7 216MHz, Unoptimized (float32))

Latency

6 ms.

Peak RAM usage

5.5K

Flash usage

38.1K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

23m 21s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

drink, fistbump, idle, snake, updown, wave

Project info

Project ID	245576
Project version	3
License	BSD 3-Clause Clear
No. of views	42,338
No. of clones	16