Hand gesture recognition based on computer vision: a review of techniques
Hand gestures are a form of nonverbal communication that can be used in several fields
such as communication between deaf-mute people, robot control, human–computer …
such as communication between deaf-mute people, robot control, human–computer …
A structured and methodological review on vision-based hand gesture recognition system
Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …
recognition. However, due to several constraints, achieving an effective vision-driven hand …
Flexible strain sensor-based data glove for gesture interaction in the metaverse: a review
B Ji, X Wang, Z Liang, H Zhang, Q **a… - … Journal of Human …, 2024 - Taylor & Francis
The rise of the metaverse concept has brought about widespread attention in wearable
gesture recognition devices. Data gloves based on flexible strain sensors have been …
gesture recognition devices. Data gloves based on flexible strain sensors have been …
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 …
such as human-computer interaction, robotics, health and medical systems, health assistive …
Doppler-radar based hand gesture recognition system using convolutional neural networks
Hand gesture recognition has long been a study topic in the field of Human Computer
Interaction. Traditional camera-based hand gesture recognition systems can not work …
Interaction. Traditional camera-based hand gesture recognition systems can not work …
Multimodal natural human–computer interfaces for computer-aided design: A review paper
Computer-aided design (CAD) systems have advanced to become a critical tool in product
design. Nevertheless, they still primarily rely on the traditional mouse and keyboard …
design. Nevertheless, they still primarily rely on the traditional mouse and keyboard …
Attention-based gesture recognition using commodity wifi devices
The broad spectrum of applications of WiFi sensing technology, such as gait and gesture
recognition, has received widespread attention in recent years. Though most WiFi sensing …
recognition, has received widespread attention in recent years. Though most WiFi sensing …
Development of a wearable gesture recognition system based on two-terminal electrical impedance tomography
This paper proposes a low-cost, wearable gesture recognition system based on the two-
terminal electrical impedance tomography (EIT) technique. The system includes a wearable …
terminal electrical impedance tomography (EIT) technique. The system includes a wearable …
Hand gesture recognition methods and applications: A literature survey
L Zulpukharkyzy Zholshiyeva… - The 7th International …, 2021 - dl.acm.org
Automatic Hand Gesture Recognition has become more important in recent years. Due to an
increasing number of the deaf and hearing impaired, the use of a variety of non-contact …
increasing number of the deaf and hearing impaired, the use of a variety of non-contact …
Machine Learning-Based Gesture Recognition Glove: Design and Implementation
A Filipowska, W Filipowski, P Raif… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
In the evolving field of human–computer interaction (HCI), gesture recognition has emerged
as a critical focus, with smart gloves equipped with sensors playing one of the most …
as a critical focus, with smart gloves equipped with sensors playing one of the most …