… This paper presents a method for automatic recognition of two handed signs of Indian Sign
Language (ISL). The method consists of three phases: Segmentation, Feature Extraction and …

… Automatic sign language recognition is a complicated … Sign language created from human
action is defined as a … of Indian sign language poses from the videos giving a specific sign as …

… multi-feature fusion models, we consider three different features from the input video that
highlight different modalities. We extract 2048 dimension CNN ResNet50 [17] features for each …

… scaling and feature fusion make our model more robust in predicting longer n-grams which
are crucial in continuous sign language translation. Index Terms: sign language translation, …

… temporal fusion optimization for sign language translation. … among sequential clip features
in a given sign language video. In … fusion strategy on the deep classification scores to decode …

… the signed alphabets in the Indian Sign Language. Unlike the alphabets in other sign
languages like the American Sign Language and the Chinese Sign language, the ISL alphabet are …

… to extract spatial features from the input sign language frames. … of distinguishable features
for downstream sign language … is an excellent approach for multi-scaled features fusion. …

… The main challenge in such a system is to identify each sign in continuous sign language …
the signs in continuous sign language video. This system is based on two main phases ; sign …

… interaction system, we collect sEMG data and IMU data as raw data for sign language …
of 35 sign languages, we add these features to the label, that is, each sign language adds a …

… Gesture-based sign language recognition systems play an important role in human-… of
sign language recognition (SLR). SLR is highly influenced by the recognition of hand, as the …