Sign language recognition using the electromyographic signal: a systematic literature review
A Ben Haj Amor, O El Ghoul, M Jemni - Sensors, 2023 - mdpi.com
The analysis and recognition of sign languages are currently active fields of research
focused on sign recognition. Various approaches differ in terms of analysis methods and the …
focused on sign recognition. Various approaches differ in terms of analysis methods and the …
Recent advances of deep learning for sign language recognition
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …
communication tools is expected. With the growing research interest in action and gesture …
[HTML][HTML] An EMG dataset for Arabic sign language alphabet letters and numbers
ABH Amor, O El Ghoul, M Jemni - Data in Brief, 2023 - Elsevier
Nowadays, surface electromyography (sEMG) is evolving as a technology for hand gesture
recognition. Detailed studies have revealed the capacity of EMG signals to access detailed …
recognition. Detailed studies have revealed the capacity of EMG signals to access detailed …
[PDF][PDF] Real-time italian sign language recognition with deep learning
VJ Schmalz - CEUR Workshop Proceedings, 2022 - lirias.kuleuven.be
Image recognition systems have evolved so much that they can actually be exploited to
solve significant challenges today, such as facilitating communication for people with …
solve significant challenges today, such as facilitating communication for people with …
Italian sign language alphabet recognition from surface EMG and IMU sensors with a deep neural network
The use of surface electromyography (EMG) and Inertial Measurement Unit (IMU) data
emerged as a possible alternative to computer vision-based gesture recognition. As a …
emerged as a possible alternative to computer vision-based gesture recognition. As a …