Open AccessHuman Computer Interaction – Hand Gesture Recognition
Author(s) -
Riya Jain,
Muskan Jain,
Roopal Jain,
Suman Madan
Publication year - 2021
Publication title -
advanced journal of graduate research
Language(s) - English
Resource type - Journals
ISSN - 2456-7108
DOI - 10.21467/ajgr.11.1.1-9
Subject(s) - gesture , gesture recognition , computer science , human–computer interaction , sign language , nonverbal communication , motion (physics) , variety (cybernetics) , wired glove , artificial intelligence , multimedia , communication , psychology , linguistics , philosophy
The creation of intelligent and natural interfaces between users and computer systems has received a lot of attention. Several modes of knowledge like visual, audio, and pen can be used individually or in combination have been proposed in support of this endeavour. Human communication relies heavily on the use of gestures to communicate information. Gesture recognition is a subject of science and language innovation that focuses on numerically quantifying human gestures. It is possible for people to communicate properly with machines using gesture recognition without the use of any mechanical devices. Hand gestures are a form of nonverbal communication that can be applied to several fields, including deaf-mute communication, robot control, human–computer interaction (HCI), home automation, and medical applications. Many different methods have been used in hand gesture research papers, including those focused on instrumented sensor technology and computer vision. To put it another way, the hand sign may be categorized under a variety of headings, including stance and motion, dynamic and static, or a combination of the two. This paper provides an extensive study on hand gesture methods and explores their applications.