Open AccessHand Gesture Recognition Using 3-D Depth Perception
Author(s) -
Parth Sharma,
Saru Dhir
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.a1026.1191s19
Subject(s) - gesture , gesture recognition , computer science , perception , human–computer interaction , tracking (education) , field (mathematics) , artificial intelligence , speech recognition , computer vision , psychology , mathematics , pedagogy , neuroscience , pure mathematics
The paper provides information on hand gesture recognition through its various methods but primarily focused on 3D depth-perceiving sensor technology for hand tracking and gesture recognition. Hand gesture recognition provides new opportunities for human-computer interactions (HCI) and over the past decade has emerged in various fields and technologies. The paper lures an likeness amongst the present technologies in the market and the workings behind their operations. It differentiates between the old and newer mechanics employed in the products. Furthermore, the paper discusses the existing uses of gesture recognition with their limitations. It provides proposed ideas in various fields, their use and future developmental paths.