Jenny Speelman / Sense2GoL-Pulse Radar 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.

Sense2GoL-Pulse Radar

Use this project to train a model to detect gestures using an Infineon Sense2GoL-Pulse radar development kit & Edge Impulse!

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 (726 samples)

View all

nothing.json.1sst3upv.s20

ID: 7699448

Label: nothing

Sample length: 1s

tap.json.1sssk0us.s9

ID: 7699524

Label: tap

Sample length: 1s

reach.json.1ssutora.s18

ID: 7699202

Label: reach

Sample length: 1s

nothing.json.1sstmudb.s1

ID: 7699446

Label: nothing

Sample length: 1s

nothing.json.1sstmudb.s14

ID: 7699434

Label: nothing

Sample length: 1s

tap.json.1sssikjl.s1

ID: 7699545

Label: tap

Sample length: 1s

tap.json.1ssub8c0.s1

ID: 7699335

Label: tap

Sample length: 1s

pinch.json.1ssvmf1k.s5

ID: 7699033

Label: pinch

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

86.1%

Test set

82.9%

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

Latency

1 ms.

Peak RAM usage

4.0K

Flash usage

34.9K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

14m 31s

Sensors

I, Q @ 75Hz

Labels

nothing, pinch, reach, tap

Project info

Project ID	16659
Project version	1
License	BSD 3-Clause Clear
No. of views	50,047
No. of clones	20