Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition
SB Abdullahi, K Chamnongthai… - Expert Systems with …, 2024 - Elsevier
Most dynamic sign word misclassifications are caused by redundant spatial–temporal (SPT)
feature pruning that lacks language semantic and temporal dependencies. SPT feature …
feature pruning that lacks language semantic and temporal dependencies. SPT feature …
An ultra-low-computation model for understanding sign languages
In artificial intelligence applications, advanced computational models, such as deep
learning, are employed to achieve high accuracy, often requiring the execution of numerous …
learning, are employed to achieve high accuracy, often requiring the execution of numerous …
Towards controlling mobile robot using upper human body gesture based on convolutional neural network
Abstract Human-Robot Interaction (HRI) has challenges in investigation of a nonverbal and
natural interaction. This study contributes to develo** a gesture recognition system …
natural interaction. This study contributes to develo** a gesture recognition system …
Enhanced Weak Spatial Modeling Through CNN-based Deep Sign Language Skeletal Feature Transformation
Recent sign language skeletal-based feature models (SLSm) consist of various distracting
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …
Multilingual speech to Indian sign language translation using synthetic animation: a resource-efficient approach
The technical development of sign language motion generation systems has great potential
to make successful and effective communication between people. This study introduces an …
to make successful and effective communication between people. This study introduces an …
Financial Fraud Detection Using Value-at-Risk with Machine Learning in Skewed Data
The significant losses that banks and other financial organizations suffered due to new bank
account (NBA) fraud are alarming as the number of online banking service users increases …
account (NBA) fraud are alarming as the number of online banking service users increases …
A TinyDL Model for Gesture-Based Air Handwriting Arabic Numbers and Simple Arabic Letters Recognition
The application of tiny machine learning (TinyML) in human-computer interaction is
revolutionizing gesture recognition technologies. However, there remains a significant gap …
revolutionizing gesture recognition technologies. However, there remains a significant gap …
Motion Images with Positioning Information and Deep Learning for Continuous Arabic Sign Language Recognition in Signer Dependent and Independent Modes
M Almaazmi, S Elkadi, L Elsayed, L Salman… - IEEE …, 2024 - ieeexplore.ieee.org
While recognition of sign language alphabets and isolated words has matured in recent
years, recognition of sign language sentences, or continuous signing, is still a research topic …
years, recognition of sign language sentences, or continuous signing, is still a research topic …
Intelligent real-life key-pixel image detection system for early Arabic sign language learners
Lack of an effective early sign language learning framework for a hard-of-hearing population
can have traumatic consequences, causing social isolation and unfair treatment in …
can have traumatic consequences, causing social isolation and unfair treatment in …
A Cutting-Edge Approach to Decision-Making in Awake Neurosurgery Based on Hand Motion Recognition
In Awake Neurosurgery (AN), the assessment of the patient's capabilities is of paramount
importance to minimize the risk of post-operative cognitive, language, and motor deficits. To …
importance to minimize the risk of post-operative cognitive, language, and motor deficits. To …