Open AccessHand Gesture Communication for Blind Communication using Raspberry Pi
Author(s) -
Punit Dobriyal*,
Dibya Ranjan Das Adhikary,
Abhimanyu George Jain,
M. Rajkumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g5160.059720
Subject(s) - computer science , cluster analysis , robot , gesture , artificial intelligence , obstacle , support vector machine , directed graph , graph , theoretical computer science , algorithm , political science , law
HRI represents an obstacle to represent how humans and robots interact. The intricacy is that a robot doesn't comprehend the human language straightforwardly and HRI requires media for correspondence which can be comprehended by the robot and effortlessly done by human, especially to help old and deaf people, recovering patients, in this manner signal acknowledgment as correspondence media is expected to provide a request to the robot. Machine learning is a fragment of Artificial Intelligence (AI) which discusses the development of a system that depends on information or data. This paper enunciates about the hand signals as input for Bioloid Premium Robot utilizing two strategies, Fuzzy C Means clustering and Support Vector Machine (SVM) with directed acyclic graph (DAG). Here, decision K-Means clustering or Lloyd’s algorithm suggested the way to clustering some data by using the Euclidean idea of distance between all the present data elements.