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Papers tagged with "Sign Language Recognition"
HOLISTIC SMARTPHONE DATA PROTECTION SYSTEM INTEGRATING ANDROID APP ANALYSIS AND SECURE METADATA TRACKING
This Project Aims To Design A *Comprehensive Smartphone Data Security System* To Enhance Security Of Android Phone By Smart Malware Detection And Metadata Management. With The Increased Use Of Mobile Devices For Critical Applications Such A...
Neural 3D Avatar-Based Bidirectional Communication System For Deaf And Hearing Users
Deaf And Mutes Use Sign Language To Communicate, Yet Communication Between Signers And Non-signers Is Challenging As There Is A Lack Of Awareness. This Lays Obstacles In Such Spheres As Education, Medical Care, And Government Services. The...
AI-DRIVEN TWO WAY SIGN LANGUAGE TRANSLATOR
This Project Presents A Two-way Sign Language Translation System That Enables Communication Between Hearing-impaired Individuals And Non-sign Language Users. The System Converts Hand Gestures Into Text Using Computer Vision And Machine Lear...
Real-Time Sign Language Interpretation Using Deep Learning
Sign Language Serves As The Primary Mode Of Communication For Millions Of Hearing-impaired Individuals Worldwide, Yet The Gap Between The Deaf Community And The Hearing World Remains A Significant Barrier. This Paper Presents A Comprehensiv...
Sign Language Recognition: A Comprehensive Review Of Methods, Datasets, And Challenges
Sign Language Recognition (SLR) Is An Active Research Area That Involves The Automatic Translation Of Sign Languages Into Text Or Speech Using Computational Techniques, Thereby Facilitating Communication For Deaf And Hard-of-hearing Individ...
BENCHMARKING DEEP LEARNING MODELS FOR AMERICAN SIGN LANGUAGE RECOGINITION A COMPARATIVE STUDY ON WLASL
This Paper Presents A Comprehensive Comparative Analysis Of Recent State-of-the-art Deep Learning Models Developed For American Sign Language (ASL) Recognition, With A Focus On Those Benchmarked Using The WLASL Dataset. The Rising Demand Fo...
Sign Language Classification Text And Voice Output System Using Resnet
Sign Language Is A Crucial Communication Medium For Individuals With Hearing And Speech Impairments. However, The Lack Of Widespread Accessibility To Sign Language Interpreter’s Limits Communication Opportunities For The Deaf And Mute Commu...
Real-Time Sign Language Recognition And Text Conversion Using LSTM For Enhanced Communication Accessibility
Sign Language Recognition Has Gained Significant Attention In Recent Years As An Essential Tool For Bridging The Communication Gap Between Individuals With Hearing Impairments And The Broader Society. Traditional Approaches Relying On Convo...
SIGN LANGUAGE AUTOMATION SYSTEM
Communication Barriers Exist For Individuals With Hearing And Speech Impairments Due To The General Population’s Lack Of Familiarity With Sign Language. Traditional Means Of Communication Rely On Human Interpreters, Which Are Often Unavaila...
A SURVEY ON RECOGNIZING SIGN LANGUAGE USING DEEP LEARNING
Effective Communication Hinges On The Exchange Of Information, Ideas, And Emotions, Necessitating A Shared Language. For Individuals With Speech Impairments, Sign Language Serves As A Vital Means Of Communication, But A Lack Of Understandin...
IMPLEMENTATION OF CONTINUOUS SIGN LANGUAGE RECOGNITION AND TRANSLATION FOR HEARING IMPAIRMENT
Sign Language Is The Only Form Of Communication For Someone Who Unable To Speak Or Hear. People Who Are Physically Challenged Can Use Sign Language To Express Their Thoughts And Emotions. An Original Sign Language Identification Technique I...
SURVEY ON TRANSLATION OF GESTURE-BASED SIGN LANGUAGE
Most Of Us Communicate Our Thoughts Through Voice And Facial Gestures, But According To The Most Recent Poll, Around 1% Of The Population In India Is Deaf And Mute. These Folks Interact With Others Using Hand Gestures And Facial Expressions...
SIGN LANGUAGE RECOGNITION USING INCEPTION V3 MODEL
Gesture Recognition Has Been A Research Area Since The Emerging Of Machine Learning And Image Processing. Sign Languages Are The Way Through Which The Deaf Community Interact With Each Other. For A Person Who Doesn’t Know Sign Language Find...
Sign Language Recognition Using Thinning Algorithm
We Have Proposed A Method For Real Time Hand Gesture Recognition And Feature Extraction Using A Web Camera. In This Approach, The Image Is Captured Through Webcam Attached To The System. First The Input Image Is Preprocessed And Threshold I...
SIGN LANGUAGE RECOGNITION: AN OVERVIEW
Sign Languages Have Originated And Evolved Independently At Different Parts Of The World. The Various Methods Employed In Sign Language Recognition On A Global Scale Are Reviewed In This Paper. Purpose Of This Survey Is To Examine Data Acqu...