Jenny Plunkett / Sense2GoL-Pulse Radar Public

Jenny Plunkett / Sense2GoL-Pulse Radar

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

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.


Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Raw data training data NPY file 685 windows
Raw data training labels NPY file 685 windows
Raw data testing data NPY file 41 windows
Raw data testing labels NPY file 41 windows
NN Classifier model TensorFlow Lite (float32) 9 KB
NN Classifier model TensorFlow Lite (int8 quantized) 6 KB
NN Classifier model TensorFlow Lite (int8 quantized with float32 input and output) 6 KB
NN Classifier model TensorFlow SavedModel 16 KB

Clone project

You are viewing a public Edge Impulse project. Clone this project to add data or make changes.


Data collected
14m 31s

Project info

Project ID 16671
Project version 1
License No license attached