The attached file is a sample video of 10 volunteers who recorded 10 static gestures from American Sign Language. The dataset actually contains RGB and registered depth images in png and bin formats respectively. The letters/numbers taken from American Sign Language are A, F, D, L, 7, 5, 2, W, Y, None. Please contact osamazhar[at]yahoo[dot[.com to get complete data
The American Sign Language Lexicon Video Dataset (ASLLVD) consists of videos of>3,300 ASL signs i...
The purpose of this paper is twofold. First, we introduce our Microsoft Kinect–based video dataset o...
Using hidden Markov models (HMM's), an unobstrusive single view camera system is developed that...
The dataset includes videos files of the hand gestures of eight words (accident, call, doctor, help,...
The dataset includes graphic files of the hand motions for ten regularly used terms in Malaysian sig...
American Sign Language (ASL) alphabet recognition using marker-less vision sensors is a challenging ...
As technology advances, so does its popularity as a teaching tool, and it can be envisioned that tec...
This dataset consists of static hand gestures and lips movement for each character in the English al...
The natural way of communication of the hearing impaired society is mainly through hand gestures. Th...
International audienceReliable hand gesture recognition is an important problem for automatic sign l...
This paper presents an efficient framework for solving the problem of static gesture recognition bas...
The gesture is one of the most natural and expressive methods for the hearing impaired. Most researc...
Trabajo presentado en la IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), cele...
Sign language is designed to assist the deaf and hard of hearing community to convey messages and co...
Sign language number recognition system lays down foundation for handshape recognition which address...
The American Sign Language Lexicon Video Dataset (ASLLVD) consists of videos of>3,300 ASL signs i...
The purpose of this paper is twofold. First, we introduce our Microsoft Kinect–based video dataset o...
Using hidden Markov models (HMM's), an unobstrusive single view camera system is developed that...
The dataset includes videos files of the hand gestures of eight words (accident, call, doctor, help,...
The dataset includes graphic files of the hand motions for ten regularly used terms in Malaysian sig...
American Sign Language (ASL) alphabet recognition using marker-less vision sensors is a challenging ...
As technology advances, so does its popularity as a teaching tool, and it can be envisioned that tec...
This dataset consists of static hand gestures and lips movement for each character in the English al...
The natural way of communication of the hearing impaired society is mainly through hand gestures. Th...
International audienceReliable hand gesture recognition is an important problem for automatic sign l...
This paper presents an efficient framework for solving the problem of static gesture recognition bas...
The gesture is one of the most natural and expressive methods for the hearing impaired. Most researc...
Trabajo presentado en la IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), cele...
Sign language is designed to assist the deaf and hard of hearing community to convey messages and co...
Sign language number recognition system lays down foundation for handshape recognition which address...
The American Sign Language Lexicon Video Dataset (ASLLVD) consists of videos of>3,300 ASL signs i...
The purpose of this paper is twofold. First, we introduce our Microsoft Kinect–based video dataset o...
Using hidden Markov models (HMM's), an unobstrusive single view camera system is developed that...