Book Image

Getting Started with Python for the Internet of Things

By : Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
Book Image

Getting Started with Python for the Internet of Things

By: Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish

Overview of this book

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor • Python Robotics Projects by Prof. Diwakar Vaish
Table of Contents (37 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Chapter 28. Gesture Recognition

Since the beginning of time, humans have communicated with each other using gestures, even before there wasn't any formal language. Hand gestures were the primary way of communication, and it is also evident in the ancient sculptures found all across the world that the signs have been a successful way of transferring a huge amount of data in a very efficient way, sometimes, even more efficient than language itself. 

Gestures are natural, and they can occur as a reflex to a certain situation. It also happens subconsciously even without our knowing. So, it becomes an ideal way of communication with various devices. However, the question remains, how? 

We can be sure that if we are talking about gestures, then we would surely have to do a lot of programming to identify the gestures in the videos; furthermore, it would require a huge amount of processing power to make it happen as well. Hence, it is out of the question. We can build some basic gesture-recognition...