A ROBOT CONTROLLED BY HAND GESTURES

Abstract

This project is developing a hand-gesture-based interface for
directing a vehicle robot's navigation. Hand gestures are
recorded on the screen using a three-axis accelerometer that
measures acceleration. There are a few peculiarities to the
situation: An RF module facilitates wireless communication
between a microcontroller and an RF module. These signals are
then categorised into one of six different control types, which are
discussed in more detail below. An established path should be
followed while operating an autonomous vehicle. After this, the
microcontroller is activated. Identifying and classifying hand
movements is accomplished via the use of a method called hand
trajectory classification. According to the simulation's findings,
With a 92.2 percent accuracy rate, the classifier was considered
to be a success