[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
Optimization on Manufacturing Processes at Indian Industries Using TOPSIS
Evaluation and optimization of multi-criteria with multiple alternatives have been essential
activities for decision-making process. TOPSIS (Technique for order of preference by …
activities for decision-making process. TOPSIS (Technique for order of preference by …
Towards smart monitored AM: Open source in-situ layer-wise 3D printing image anomaly detection using histograms of oriented gradients and a physics-based …
This study presents an open source method for detecting 3D printing anomalies by
comparing images of printed layers from a stationary monocular camera with G-code-based …
comparing images of printed layers from a stationary monocular camera with G-code-based …
mRMR-PSO: a hybrid feature selection technique with a multiobjective approach for sign language recognition
SR Bansal, S Wadhawan, R Goel - Arabian Journal for Science and …, 2022 - Springer
In this paper, a hybrid feature selection technique named mRMR-PSO has been proposed
with a multiobjective approach for automatic recognition of sign language. The features are …
with a multiobjective approach for automatic recognition of sign language. The features are …
An intelligent multi-objective framework for optimizing friction-stir welding process parameters
The comprehensive intention of this paper is to evaluate the optimal welding parameters for
joining two dissimilar materials by friction stir welding (FSW) process which is termed as a …
joining two dissimilar materials by friction stir welding (FSW) process which is termed as a …
An efficient two-stream network for isolated sign language recognition using accumulative video motion
H Luqman - IEEE Access, 2022 - ieeexplore.ieee.org
Sign language is the primary communication medium for persons with hearing impairments.
This language depends mainly on hand articulations accompanied by nonmanual gestures …
This language depends mainly on hand articulations accompanied by nonmanual gestures …
Attention-based sign language recognition network utilizing keyframe sampling and skeletal features
W Pan, X Zhang, Z Ye - IEEE Access, 2020 - ieeexplore.ieee.org
Sign language recognition (SLR) is a multidisciplinary research topic in pattern recognition
and computer vision. Due to large amount of data from the continuous frames of sign …
and computer vision. Due to large amount of data from the continuous frames of sign …
mIV3Net: modified inception V3 network for hand gesture recognition
Hand gesture plays an important role in communication among the hearing and speech
disorders people. Hand gesture recognition (HGR) is the backbone of human–computer …
disorders people. Hand gesture recognition (HGR) is the backbone of human–computer …
[PDF][PDF] Hybrid FiST_CNN approach for feature extraction for vision-based indian sign language recognition.
Indian Sign Language (ISL) is the commonly used language by the deaf-mute community in
the Indian continent. Effective feature extraction is essential for the automatic recognition of …
the Indian continent. Effective feature extraction is essential for the automatic recognition of …
Multi-level taxonomy review for sign language recognition: Emphasis on indian sign language
NK Bahia, R Rani - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
With the phenomenal increase in image and video databases, there is an increase in the
human-computer interaction that recognizes Sign Language. Exchanging information using …
human-computer interaction that recognizes Sign Language. Exchanging information using …