Build an Emoting Robot Using Arduino and Machine Learning Applying Gesture Recognition with TensorFlow Lite

  • Julia Makivic

Your browser needs to be JavaScript capable to view this video

Try reloading this page, or reviewing your browser settings

Autoplay:
View next video

Machine learning is finally easily compatible with Arduino! Learn how to use TensorFlow Lite and machine learning to train an Arduino Nano 33 BLE Sense to recognize unique gestures. You will also receive practical suggestions on how to apply gesture recognition to other creative projects.

What You Will Learn

  • Install TensorFlow Lite for the Arduino and the necessary libraries for the board and accelerometer

  • Make the Arduino recognize different gestures

  • Apply gesture recognition capabilities to a project

Who This Video Is For

Confident programmers who are already familiar with the Arduino platform. There is no previous knowledge of machine learning required.

In this video, you’ll learn how to use TensorFlow Lite and machine learning to train an Arduino Nano 33 BLE Sense to recognize unique gestures. You will also receive practical suggestions on how to apply gesture recognition to other creative projects.

About The Author

Julia Makivic

Julia Makivic works with sensors, microcontrollers, and code to create alternative controller video games. Julia is an artist and game designer who uses technical tools as a means of creative expression. She completed her MFA in Computational Arts at Goldsmiths University and works as a creative technologist by partnering with artists and organizations in order to help them integrate technology and interactivity into their projects.

 

Supporting material

View source code at GitHub.

About this video

Author(s)
Julia Makivic
DOI
https://doi.org/10.1007/978-1-4842-6278-8
Online ISBN
978-1-4842-6278-8
Total duration
10 min
Publisher
Apress
Copyright information
© Julia Makivic 2020

Related content

Video Transcript

Hello, today’s tutorial is called building on emoting bought using Arduino and machine learning. This tutorial will go over using tensor flow light, which is a version of tensor flow made specifically for microcontrollers, in order to create an emoting bot that response to your gestures. My name is Julia Makovic, and I make alternative game controllers using sensors and hardware. I really enjoy using technology for creative purposes.