12 Sept 2019 sensors or gloves [5]. Existing vision-based approaches apply various image processing and machine learning techniques to analyze and represent ...
9 Jul 2018 learning ability that has been shown. • To fully exploit the 3D information provided by depth images we develop a novel multiview augmentation ...
executes the conversion of sign language into text or voice. Research in SLR started two decades before all over the world especially in American and Japanese
Images for the training were resized and pre-processed before training the Deep Neural Network. The model was trained on a squeezenet architecture to make it
The most common approach to recognize hand gestures using vision-based sensors is to extract low-level features from RGB or depth images using image feature.
14 Sept 2021 was created by taking 10223 images for 29 letters in the Turkish ... Chuan et al. presented the American Sign Language recognition system.
12 Sept 2018 learning ability that has been shown. • To fully exploit the 3D information provided by depth images we develop a novel multiview augmentation ...
27 Apr 2021 A deep neural network (DNN) for performing handshape segmentation and classification is used in which multiple architectures and input image ...
31 Aug 2021 American sign characters using hand images obtained from a web camera. ... used for recognition: the ASL Alphabet dataset ...
Dataset: Previous study used only 4800 images with 24 groups of self-collected images except for letters J and Z since both signs require movement. Furthermore