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Continuous sign language recognition through a context-aware generative adversarial network
Continuous sign language recognition is a weakly supervised task dealing with the
identification of continuous sign gestures from video sequences, without any prior …
identification of continuous sign gestures from video sequences, without any prior …
A comprehensive study on deep learning-based 3D hand pose estimation methods
The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its
significance in several applications that require human-computer interaction (HCI). The …
significance in several applications that require human-computer interaction (HCI). The …
Changepoint detection-assisted nonparametric clustering for unsupervised temporal sign segmentation
Temporal sign segmentation aims to temporarily divide continuous sign language into
category-agnostic sign segments. One of the challenges to temporal sign segmentation is …
category-agnostic sign segments. One of the challenges to temporal sign segmentation is …
The Serbian Sign Language Alphabet: A Unique Authentic Dataset of Letter Sign Gestures
Language barriers and the communication difficulties of individuals with developmental
disabilities are two major causes of communication problems that societies worldwide …
disabilities are two major causes of communication problems that societies worldwide …
Multi-Stream Isolated Sign Language Recognition Based on Finger Features Derived from Pose Data
This study introduces an innovative multichannel approach that focuses on the features and
configurations of fingers in isolated sign language recognition. The foundation of this …
configurations of fingers in isolated sign language recognition. The foundation of this …