[PDF][PDF] Arabic Sign Language Recognition Systems: A Systematic Review
AMA Moustafa, MSM Rahim, MM Khattab… - Indian Journal of …, 2024 - ijcse.com
Deaf individuals use sign language to interact with each other and with people in general. In
most cases, an interpreter is needed in order for a hearing person to have a conversation …
most cases, an interpreter is needed in order for a hearing person to have a conversation …
Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation
Deaf-mute individuals encounter substantial difficulties in their daily lives due to
communication impediments. These individuals may encounter difficulties in social contact …
communication impediments. These individuals may encounter difficulties in social contact …
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 …
A Bidirectional Arabic Sign Language Framework Using Deep Learning and Fuzzy Matching Score
Sign language is widely used to facilitate the communication process between deaf people
and their surrounding environment. Sign language, like most other languages, is considered …
and their surrounding environment. Sign language, like most other languages, is considered …
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 …
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models
This paper presents an Arabic Alphabet Sign Language recognition approach, using deep
learning methods in conjunction with transfer learning and transformer-based models. We …
learning methods in conjunction with transfer learning and transformer-based models. We …
[HTML][HTML] The Comparison of K-Nearest Neighbors and Random Forest Algorithm to Recognize Indonesian Sign Language in a Real-Time
AD Goenawan, S Hartati - Scientific Journal of Informatics, 2024 - journal.unnes.ac.id
Purpose: Comparing 2 models or prototype programs which can recognize Indonesian Sign
Language System or Sistem Isyarat Bahasa Indonesia (SIBI) fonts from hand gesture and …
Language System or Sistem Isyarat Bahasa Indonesia (SIBI) fonts from hand gesture and …
[PDF][PDF] Optimized Hybrid Convolution Neural Network with Machine Learning for Arabic Sign Language Recognition.
AO Mahmoud, I Ziedan, AA Zamel - Traitement du Signal, 2024 - researchgate.net
The World Health Organization stated that the global population of hard of hearing
individuals is estimated to exceed 360 million people, and this number is continuously …
individuals is estimated to exceed 360 million people, and this number is continuously …
Check for updates Arabic Sign Language Alphabet Classification via Transfer Learning
M Al-Barham¹, OA Alomari¹… - Emerging Trends and …, 2024 - books.google.com
The integration of artificial intelligence (AI) has addressed the challenges associated with
communication with the deaf community, which requires proficiency in various sign …
communication with the deaf community, which requires proficiency in various sign …
Arabic Sign Language Alphabet Classification via Transfer Learning
The integration of artificial intelligence (AI) has addressed the challenges associated with
communication with the deaf community, which requires proficiency in various sign …
communication with the deaf community, which requires proficiency in various sign …