|
|
|
|
|
Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
ver más
|
|
|
|
|
|
|
|
|
|
|
Diksha Kumari and Radhey Shyam Anand
The deaf and hearing-impaired community expresses their emotions, communicates with society, and enhances the interaction between humans and computers using sign language gestures. This work presents a strategy for efficient feature extraction that uses ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amrutha K, Prabu P and Ramesh Chandra Poonia
Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&HH), consider sign language an elemental mode of communication ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angela C. Caliwag, Han-Jeong Hwang, Sang-Ho Kim and Wansu Lim
Sign language aids in overcoming the communication barrier between hearing-impaired individuals and those with normal hearing. However, not all individuals with normal hearing are skilled at using sign language. Consequently, deaf and hearing-impaired in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ayanabha Jana and Shridevi S. Krishnakumar
The proposed research deals with constructing a sign gesture recognition system to enable improved interaction between sign and non-sign users. With respect to this goal, five types of features are utilized?hand coordinates, convolutional features, convo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yancong Zhu, Juan Zhang, Zhaoxi Zhang, Gina Clepper, Jingpeng Jia and Wei Liu
Developing a smart classroom can make the modern classroom more efficient and intelligent. Much research has been conducted pertaining to smart classrooms for hearing-impaired college students. However, there have been few significant breakthroughs in mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Valentin Belissen, Annelies Braffort and Michèle Gouiffès
Sign Languages (SLs) are visual?gestural languages that have developed naturally in deaf communities. They are based on the use of lexical signs, that is, conventionalized units, as well as highly iconic structures, i.e., when the form of an utterance an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tomasz Kapuscinski and Dawid Warchol
In this paper, a method for the recognition of static hand postures based on skeletal data was presented. A novel descriptor was proposed. It encodes information about distances between particular hand points. Five different classifiers were tested, incl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qifan Xue, Xuanpeng Li, Dong Wang and Weigong Zhang
Sign language recognition (SLR) is a bridge linking the hearing impaired and the general public. Some SLR methods using wearable data gloves are not portable enough to provide daily sign language translation service, while visual SLR is more flexible to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinyu Zhang and Xiaoqiang Li
In recent years, gesture recognition has been used in many fields, such as games, robotics and sign language recognition. Human computer interaction (HCI) has been significantly improved by the development of gesture recognition, and now gesture recognit...
ver más
|
|
|
|
|
|