Open AccessReview of constraints on vision‐based gesture recognition for human–computer interaction
Author(s) -
Chakraborty Biplab Ketan,
Sarma Debajit,
Bhuyan M.K.,
MacDorman Karl F
Publication year - 2018
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2017.0052
Subject(s) - gesture , gesture recognition , computer science , sketch recognition , sign language , artificial intelligence , feature extraction , computer vision , feature (linguistics) , representation (politics) , ranging , pattern recognition (psychology) , human–computer interaction , speech recognition , telecommunications , linguistics , philosophy , politics , political science , law
The ability of computers to recognise hand gestures visually is essential for progress in human–computer interaction. Gesture recognition has applications ranging from sign language to medical assistance to virtual reality. However, gesture recognition is extremely challenging not only because of its diverse contexts, multiple interpretations, and spatio‐temporal variations but also because of the complex non‐rigid properties of the hand. This study surveys major constraints on vision‐based gesture recognition occurring in detection and pre‐processing, representation and feature extraction, and recognition. Current challenges are explored in detail.