PereiraASLNet: ASL letter recognition with YOLOX taking Mean Average Precision and Inference Time considerations

N Pereira - 2022 2nd International Conference on Artificial …, 2022 - ieeexplore.ieee.org
Sign language essentially allows for communication without the need to explicitly say words.
It was developed by the American School for the Deaf in the early 90's. It is a naturally …

[HTML][HTML] HGR-ViT: Hand Gesture Recognition with Vision Transformer

CK Tan, KM Lim, RKY Chang, CP Lee, A Alqahtani - Sensors, 2023 - mdpi.com
Hand gesture recognition (HGR) is a crucial area of research that enhances communication
by overcoming language barriers and facilitating human-computer interaction. Although …

[HTML][HTML] Football referee gesture recognition algorithm based on YOLOv8s

Z Yang, Y Shen, Y Shen - Frontiers in Computational Neuroscience, 2024 - frontiersin.org
Gesture serves as a crucial means of communication between individuals and between
humans and machines. In football matches, referees communicate judgment information …

Comparing the performance of pre-trained deep learning models in object detection and recognition

OI Obaid, MA Mohammed, AO Salman… - Journal of Information …, 2022 - jitm.ut.ac.ir
The aim of this study is to evaluate the performance of the pre-trained models and compare
them with the probability percentage of prediction in terms of execution time. This study uses …

A two stream convolutional neural network with bi-directional GRU model to classify dynamic hand gesture

B Verma - Journal of Visual Communication and Image …, 2022 - Elsevier
Dynamic hand gesture recognition is still an interesting topic for the computer vision
community. A set of feature vectors can represent any hand gesture. A Recurrent Neural …

[HTML][HTML] A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition

P Xu, F Li, H Wang - PloS one, 2022 - journals.plos.org
Hand gesture recognition tasks based on surface electromyography (sEMG) are vital in
human-computer interaction, speech detection, robot control, and rehabilitation applications …

[PDF][PDF] Virtual Keyboard: A Real-Time Hand Gesture Recognition-Based Character Input System Using LSTM and Mediapipe Holistic.

B Mallik, MA Rahim, ASM Miah, KS Yun… - Comput. Syst. Sci …, 2024 - cdn.techscience.cn
In the digital age, non-touch communication technologies are reshaping human-device
interactions and raising security concerns. A major challenge in current technology is the …

Arabic Sign Language letters recognition using vision transformer

AF Alnabih, AY Maghari - Multimedia Tools and Applications, 2024 - Springer
Sign languages, as means of communication, enable individuals to convey messages
through hand gestures, body movements, and facial expressions. It is primarily utilized by …

Human gait recognition based on sequential deep learning and best features selection

CA Hanif, MA Mughal, MA Khan… - CMC-COMPUTERS …, 2023 - scholarworks.bwise.kr
Gait recognition is an active research area that uses a walking theme to identify the subject
correctly. Human Gait Recognition (HGR) is performed without any cooperation from the …

Real-time hand gesture recognition using multiple deep learning architectures

A Aggarwal, N Bhutani, R Kapur, G Dhand… - Signal, Image and Video …, 2023 - Springer
Human gesture recognition is one of the most challenging problems in computer vision,
striving to analyze human gestures by machine. However, most of the literature on gesture …