[HTML][HTML] Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks

S Alashhab, AJ Gallego, MÁ Lozano - Engineering Applications of Artificial …, 2022 - Elsevier
Existing research for the assistance of visually impaired people mainly focus on solving a
single task (such as reading a text or detecting an obstacle), hence forcing the user to switch …

Recognition of dynamic Filipino Sign language using MediaPipe and long short-term memory

GKR Madrid, RGR Villanueva… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Filipino Sign Language (FSL) is the official sign language of the Philippines. FSL helped
develop the communication gap between impaired individuals, however, only few are …

Design of SIBI sign language recognition using artificial neural network backpropagation

AN Handayani, MI Akbar, H Ar-Rosyid… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Humans communicate with one another in the form of language. However, in social life, not
all humans, as well as deaf people, can communicate verbally well. They tend to …

Costa rican sign language recognition using mediapipe

J Zamora-Mora, M Chacón-Rivas - … International Conference on …, 2022 - ieeexplore.ieee.org
The launch of Google MediaPipe as a real-time platform for capturing and tracking the
human body has allowed the removal of technological barriers in hand recognition for the …

[PDF][PDF] Tracked robot control with hand gesture based on mediapipe

M Wameed, AM ALKAMACHI, E Erçelebi - Al-Khwarizmi Engineering …, 2023 - iasj.net
Hand gestures are currently considered one of the most accurate ways to communicate in
many applications, such as sign language, controlling robots, the virtual world, smart homes …

Mobile application-based sign language detector for deaf people

R Selvanambi, M Karuppiah… - Designing and …, 2023 - igi-global.com
In everyday life, we use hand gestures for several activities, like calling someone or showing
directions to somebody, and don't even realise or consciously acknowledge them as a part …

Action-Concentrated Embedding Framework: This Is Your Captain Sign-tokening

H Yu, S Shin, J Heo, H Shin, H Kim… - Proceedings of the 2024 …, 2024 - aclanthology.org
Sign language is the primary communication medium for people who are deaf or have
hearing loss. However, given the divergent range of sensory abilities of these individuals …

Comparing Incremental Learning Approaches for a Growing Sign Language Dictionary

J Huamani-Malca, G Bejarano - … on Information Management and Big Data, 2023 - Springer
Abstract Machine Learning-based Sign Language Dictionaries recognize a sign performed
in front of a camera and return the most probable written language word. Due to the scarce …

Long Short-Term Memory-based Static and Dynamic Filipino Sign Language Recognition

CLL Evangelista, CJR Geli… - … on Automatic Control …, 2023 - ieeexplore.ieee.org
Filipino Sign Language (FSL) is a distinctive form of sign language with its own set of pose,
gestures, and grammar, which can cause a challenge in terms of identifying it. Earlier …

Recognition of Isolated Gestures of the Russian Sign Language Based on the Component Approach

MG Grif, YK Kondratenko - 2023 IEEE XVI International …, 2023 - ieeexplore.ieee.org
Russian Sign Language is a language used for communication by people with hearing
impairments. Automating sign language translation is an important task in facilitating …