Nordic Semiconductor / nrf_accel_hw Public

Target: Cortex-M4F 80MHz 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.

nrf_accel_hw

A simple project using acceleration readouts coming from a hardware accelerometer. Used by machine_learning application in nRF Connect SDK.

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 (182 samples)

View all

tap.json.23n0uup8

ID: 1594837815

Label: tap

Sample length: 1s

rotate.json.23hjd9vn

ID: 1594837851

Label: rotate

Sample length: 10s

tap.json.23n4nf4u

ID: 1594837758

Label: tap

Sample length: 1s

rotate.json.23n44ljl

ID: 1594837786

Label: rotate

Sample length: 20s

updown.json.23hl0oq0

ID: 1594837845

Label: updown

Sample length: 30s

idle.json.23n3kfbr

ID: 1594837791

Label: idle

Sample length: 59s

updown.json.23n4d9vt

ID: 1594837782

Label: updown

Sample length: 30s

tap.json.23n4funk

ID: 1594837773

Label: tap

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

98.2%

Test set

97.1%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

5 ms.

Peak RAM usage

3.1K

Flash usage

16.6K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

22m 11s

Sensors

x, y, z @ 52Hz

Labels

idle, rotate, tap, updown

Project info

Project ID	33129
Project version	6
License	Apache 2.0
No. of views	26,538
No. of clones	38