A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024

AO Hashi, SZM Hashim, AB Asamah - IEEE Access, 2024 - ieeexplore.ieee.org
Hand gesture is the main method of communication for people who are hearing-impaired,
which poses a difficulty for millions of individuals worldwide when engaging with those who …

Study of Alzheimer's disease brain impairment and methods for its early diagnosis: a comprehensive survey

S Pallawi, DK Singh - International Journal of Multimedia Information …, 2023 - Springer
Alzheimer's disease (AD) is one of the most severe kinds of dementia that affects the elderly
population. Since this disease is incurable and the changes in brain sub-regions start …

Automated Indian sign language recognition system by fusing deep and handcrafted feature

S Das, SK Biswas, B Purkayastha - Multimedia Tools and Applications, 2023 - Springer
The deaf community faces some major challenges due to the communication gap with the
hearing community. The traditional approach of employing a Sign Language (SL) interpreter …

[HTML][HTML] Vision transformers and transfer learning approaches for arabic sign language recognition

NM Alharthi, SM Alzahrani - Applied Sciences, 2023 - mdpi.com
Sign languages are complex, but there are ongoing research efforts in engineering and data
science to recognize, understand, and utilize them in real-time applications. Arabic sign …

A deep sign language recognition system for Indian sign language

S Das, SK Biswas, B Purkayastha - Neural Computing and Applications, 2023 - Springer
Deaf people face major challenges during communication with normal people. Employing a
human interpreter (a person who converts Sign language (SL) into a language that the …

Long Short-Term Memory (LSTM) model for Indian sign language recognition

R Nihalani, SS Chouhan, D Mittal… - Journal of Intelligent …, 2024 - content.iospress.com
The human-computer interaction process is a vital task in attaining artificial intelligence,
especially for a person suffering from hearing or speaking disabilities. Recognizing actions …

Deep learning approach for sign language recognition using densenet201 with transfer learning

Y Altaf, A Wahid, MM Kirmani - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Transfer learning has been utilized to solve many complex real-world problems. Over the
last several years, transfer learning had many applications in image and video recognition …

LiST: a lightweight framework for continuous indian sign language translation

RC Poonia - Information, 2023 - mdpi.com
Sign language is a natural, structured, and complete form of communication to exchange
information. Non-verbal communicators, also referred to as hearing impaired and hard of …

Virtual Reality Applications for Enhancing Human-Robot Interaction: A Gesture Recognition Perspective

SR Sabbella, S Kaszuba, F Leotta, D Nardi - Proceedings of the 23rd …, 2023 - dl.acm.org
Human-Robot Interaction (HRI) has become increasingly important as robots have been
integrated into various daily life aspects. Gesture recognition plays a crucial role in non …

Occlusion robust sign language recognition system for indian sign language using CNN and pose features

S Das, SK Biswas, B Purkayastha - Multimedia Tools and Applications, 2024 - Springer
Abstract The Sign Language Recognition System (SLRS) is a cutting-edge technology that
aims to enhance communication accessibility for the deaf community in India by replacing …