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[HTML][HTML] A comparative study of advanced technologies and methods in hand gesture analysis and recognition systems
MM Rahman, A Uzzaman, F Khatun… - Expert Systems with …, 2024 - Elsevier
Hand gesture recognition is progressively becoming a mature technology as a result of
significant investment in human-machine interaction. The requirements of human-machine …
significant investment in human-machine interaction. The requirements of human-machine …
An ultra-low-computation model for understanding sign languages
In artificial intelligence applications, advanced computational models, such as deep
learning, are employed to achieve high accuracy, often requiring the execution of numerous …
learning, are employed to achieve high accuracy, often requiring the execution of numerous …
[HTML][HTML] Saliency-driven hand gesture recognition incorporating histogram of oriented gradients (hog) and deep learning
F Jafari, A Basu - Sensors, 2023 - mdpi.com
Hand gesture recognition is a vital means of communication to convey information between
humans and machines. We propose a novel model for hand gesture recognition based on …
humans and machines. We propose a novel model for hand gesture recognition based on …
HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition
A Nuzhdin, A Nagaev, A Sautin, A Kapitanov… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper proposes the second version of the widespread Hand Gesture Recognition
dataset HaGRID--HaGRIDv2. We cover 15 new gestures with conversation and control …
dataset HaGRID--HaGRIDv2. We cover 15 new gestures with conversation and control …
Continuous Hand Gestures Detection and Recognition in Emergency Human-Robot Interaction Based on the Inertial Measurement Unit
S Wang, T Zhang, Y Li, P Li, H Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Robots have become increasingly prevalent in various aspects of daily life. In an increasing
number of scenarios, particularly in social contexts, such as those involving delivery robots …
number of scenarios, particularly in social contexts, such as those involving delivery robots …
A low-resolution infrared gesture recognition method combining weak information reconstruction and joint training strategy
L Chen, Q Sun, Z Xu, Y Liao, ZD Chen - Digital Signal Processing, 2025 - Elsevier
In the evolution of non-contact human-computer interactions, the integration of low-
resolution infrared thermal pile sensors has gained prominence, particularly in applications …
resolution infrared thermal pile sensors has gained prominence, particularly in applications …
A Novel Approach to Frame Reduction in Robust Hand Gesture Recognition
Hand gesture recognition is becoming an increasingly integral part of our daily lives,
enabling seamless communication, enhancing interaction, and revolutionizing multiple …
enabling seamless communication, enhancing interaction, and revolutionizing multiple …
Former-HGR: Hand Gesture Recognition with Hybrid Feature-Aware Transformer
M Verma, G Gopalani, S Bharara, SK Vipparthi… - Authorea …, 2025 - techrxiv.org
Hand Gesture Recognition (HGR) systems, using cameras and sensors, offer an intuitive
method for human-machine interaction, sparking interest across various applications …
method for human-machine interaction, sparking interest across various applications …