A structured and methodological review on vision-based hand gesture recognition system

F Al Farid, N Hashim, J Abdullah, MR Bhuiyan… - Journal of …, 2022 - mdpi.com
Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …

Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions

NM Bhiri, S Ameur, I Alouani, MA Mahjoub… - Expert Systems with …, 2023 - Elsevier
In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …

[PDF][PDF] Sign language recognition system for communicating to people with disabilities

Y Obi, KS Claudio, VM Budiman… - Procedia Computer …, 2023 - researchgate.net
Sign language is one of the most reliable ways of communicating with special needs people,
as it can be done anywhere. However, most people do not understand sign language …

Bio-signals in medical applications and challenges using artificial intelligence

M Swapna, UM Viswanadhula, R Aluvalu… - Journal of Sensor and …, 2022 - mdpi.com
Artificial Intelligence (AI) has broadly connected the medical field at various levels of
diagnosis based on the congruous data generated. Different types of bio-signal can be used …

Detection and classification of skin cancer by using a parallel CNN model

N Rezaoana, MS Hossain… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Skin cancer is one of the most lethal of all cancers. When it is not diagnosed and handled at
the beginning, it is supposed to extend to other areas of the body. It also occurs while the …

Speech emotion recognition in neurological disorders using convolutional neural network

SN Zisad, MS Hossain, K Andersson - International conference on brain …, 2020 - Springer
Detecting emotions from the speech is one of the emergent research fields in the area of
human information processing. Expressing emotion is a very difficult task for a person with …

Deep learning approach for hand drawn emoji identification

J Singh, K Upreti, AK Gupta, N Dave… - … in Engineering and …, 2022 - ieeexplore.ieee.org
Object detection is a computer technology which is based on image processing and deep
learning. It uses a database to recognize objects by comparing them. Emoticons are small …

Deep learning-based sign language digits recognition from thermal images with edge computing system

DS Breland, SB Skriubakken, A Dayal… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The sign language digits based on hand gestures have been utilized in various applications
such as human-computer interaction, robotics, health and medical systems, health assistive …

Robust hand gestures recognition using a deep CNN and thermal images

DS Breland, A Dayal, A Jha, PK Yalavarthy… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Medical systems and assistive technologies, human-computer interaction, human-robot
interaction, industrial automation, virtual environment control, sign language translation …

Recognition of user-dependent and independent static hand gestures: Application to sign language

K Sadeddine, FZ Chelali, R Djeradi, A Djeradi… - Journal of Visual …, 2021 - Elsevier
Static hand gesture (HG) recognition for both user-dependent and user-independent is a
challenging problem, especially when there are changes in lighting, hand position, and …