Effective Natural Communication between Human Hand and Mobile Robot Using Raspberry-Pi

Project Code :TEMBMA1696

Abstract

We focus human-robot interaction (HRI) by performing natural communication between human hand and a mobile robot. The Raspberry-pi and Raspberry-pi camera module are installed on the robot. The system is capable to detect hand movement by processing the images from camera and respond according to the hand movements effectively. Through many experiments, we could confirm the effectiveness of the system. Human hand is one of the most common and natural communication media among human beings. Studies on natural communication media using hands gets a huge attention all over the world. People tend to conduct natural communication by using hands to establish human-robot interaction (HRI). Most of the studies on this interaction create between human hand and the machine using a glove (for detection) or a vision-based method. Interaction using a glove needs a customized glove and the set of wires connected to a machine. However, it may be uncomfortable to make commands to the machine. Some studies use hand gesture detection to control robots by using pre-defined states of the hand. In this study we consider to improve the natural communication between human and a robot in more robust way, without making any pre-definitions.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Raspberry pi,Webcam,Robotics

Specifications

Raspberry pi, Webcam, Servo motors, Raspbian OS, Python

Demo Video

mail-banner
call-banner
contact-banner
Request Video

Related Projects

Final year projects