Open AccessHand Gesture Controlling using Artificial Intelligence
Author(s) -
V. Sai Likhith*,
M. Chandra Sekhar Reddy,
M. Mithilesh,
M. Madhuram
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g5203.1081219
Subject(s) - computer science , robot , artificial intelligence , gesture , human–computer interaction , event (particle physics) , social robot , phone , remote control , mobile robot , robot control , computer hardware , linguistics , philosophy , physics , quantum mechanics
Presently multi day's robot is constrained by remote or mobile phone or by direct wired association. In the event that we pondering expense and required equipment, this things builds the unpredictability, particularly for low dimension application. Presently the robot that we have structured is not quite the same as over one. It doesn't require any kind of remote or any correspondence module. it is a self-enacted robot, which drives itself as indicated by the position of a client who remains before it. It does what the client wants to do. it makes a duplicate, all things considered, development of the client remaining before it. Equipment required is little, and henceforth minimal effort and little in size. Of late, there has been a flood in enthusiasm for perceiving human Hand signal controlled robot. Hand motion acknowledgment has a few uses, for example, PC amusements, gaming machines, as mouse substitution and apparatus controlled robot (for example crane, medical procedure machines, apply autonomy, counterfeit intelligence