Smart tactile gloves for haptic interaction, communication, and rehabilitation

O Ozioko, R Dahiya - Advanced Intelligent Systems, 2022 - Wiley Online Library
Wearable human machine interfaces (HMI) such as smart gloves have attracted
considerable interest in recent years. The quality of the interactive experience with the real …

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 …

American sign language recognition and training method with recurrent neural network

CKM Lee, KKH Ng, CH Chen, HCW Lau… - Expert Systems with …, 2021 - Elsevier
Though American sign language (ASL) has gained recognition from the American society,
few ASL applications have been developed with educational purposes. Those designed …

Gesture recognition based on skeletonization algorithm and CNN with ASL database

D Jiang, G Li, Y Sun, J Kong, B Tao - Multimedia Tools and Applications, 2019 - Springer
In the field of human-computer interaction, vision-based gesture recognition methods are
widely studied. However, its recognition effect depends to a large extent on the performance …

Dynamic gesture recognition based on 2D convolutional neural network and feature fusion

J Yu, M Qin, S Zhou - Scientific Reports, 2022 - nature.com
Gesture recognition is one of the most popular techniques in the field of computer vision
today. In recent years, many algorithms for gesture recognition have been proposed, but …

An overview of self-adaptive technologies within virtual reality training

N Vaughan, B Gabrys, VN Dubey - Computer Science Review, 2016 - Elsevier
This overview presents the current state-of-the-art of self-adaptive technologies within virtual
reality (VR) training. Virtual reality training and assessment is increasingly used for five key …

[Retracted] Hypertuned Deep Convolutional Neural Network for Sign Language Recognition

A Mannan, A Abbasi, AR Javed… - Computational …, 2022 - Wiley Online Library
Sign language plays a pivotal role in the lives of impaired people having speaking and
hearing disabilities. They can convey messages using hand gesture movements. American …

Jointly network: a network based on CNN and RBM for gesture recognition

W Cheng, Y Sun, G Li, G Jiang, H Liu - Neural Computing and Applications, 2019 - Springer
Hand belongs to non-rigid objects and is rich in variety, making gesture recognition more
difficult. The essence of dynamic gesture recognition is the classification and recognition of …

3D human gesture capturing and recognition by the IMMU-based data glove

B Fang, F Sun, H Liu, C Liu - Neurocomputing, 2018 - Elsevier
Gestures recognition provides an intelligent, natural, and convenient way for human–robot
interaction (HRI). This paper presents a novel data glove for gestures capturing and …

Dynamic gesture recognition in the internet of things

G Li, H Wu, G Jiang, S Xu, H Liu - Ieee Access, 2018 - ieeexplore.ieee.org
Gesture recognition based on computer vision has gradually become a hot research
direction in the field of human-computer interaction. The field of human-computer interaction …