Hand gesture recognition via enhanced densely connected convolutional neural network

YS Tan, KM Lim, CP Lee - Expert Systems with Applications, 2021 - Elsevier
Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …

Convolutional neural network with spatial pyramid pooling for hand gesture recognition

YS Tan, KM Lim, C Tee, CP Lee, CY Low - Neural Computing and …, 2021 - Springer
Hand gesture provides a means for human to interact through a series of gestures. While
hand gesture plays a significant role in human–computer interaction, it also breaks down the …

HyFiNet: Hybrid feature attention network for hand gesture recognition

G Bhaumik, M Verma, MC Govil… - Multimedia Tools and …, 2023 - Springer
In this paper, we propose a portable CNN network: a hybrid feature attention network
(HyFiNet) for precise hand gesture recognition. HyFiNet is designed by stacking four multi …

SpAtNet: A spatial feature attention network for hand gesture recognition

G Bhaumik, MC Govil - Multimedia Tools and Applications, 2024 - Springer
Abstract Hand Gesture Recognition is receiving enormous attention because they facilitate
communication for various applications, including human-computer interaction. However …

[HTML][HTML] MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition

A Sadeghzadeh, AFMS Shah, MB Islam - Intelligent Systems with …, 2024 - Elsevier
Sign language (SL) serves as a visual communication tool bearing great significance for
deaf people to interact with others and facilitate their daily life. Wide varieties of SLs and the …

T-SignSys: An Efficient CNN-Based Turkish Sign Language Recognition System

S Colak, A Sadeghzadeh, MB Islam - International Conference on …, 2023 - Springer
Sign language (SL) is a communication tool playing a crucial role in facilitating the daily life
of deaf or hearing-impaired people. Large varieties in the existing SLs and lack of …

CrossFeat: multi-scale cross feature aggregation network for hand gesture recognition

G Bhaumik, M Verma, MC Govil… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
Hand gestures are considered as an effective means of communication in the field of Human-
computer interaction. However, the design of an efficient hand gesture recognition (HGR) …

Hand Gesture Recognizing Model Using Optimized Capsule Neural Network.

S SS, K Gopakumar - Traitement du Signal, 2022 - search.ebscohost.com
Hand gestures are a sort of nonverbal communication that may be utilized for many diverse
purposes, including deaf-mute interaction, robotic manipulation, human-computer interface …

A Study of Hand Gesture Segmentation Techniques for Sign Languages

S Gobhinath, T Vignesh, R Pavankumar… - Journal of …, 2020 - ingentaconnect.com
This paper presents about an overview on several methods of segmentation techniques for
hand gesture recognition. Hand gesture recognition has evolved tremendously in the recent …

Att-PyNet: An Attention Pyramidal Feature Network for Hand Gesture Recognition

G Bhaumik, M Verma, MC Govil… - Edge Analytics: Select …, 2022 - Springer
This paper proposes a novel deep network Att-PyNet: an attention pyramidal feature network
for hand gesture recognition. The proposed Att-PyNet comprises three feature streams: multi …