Real-time hand gesture detection and recognition using bag-of-features and support vector machine techniques

NH Dardas, ND Georganas - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a novel and real-time system for interaction with an application or video
game via hand gestures. Our system includes detecting and tracking bare hand in cluttered …

[PDF][PDF] Vision based hand gesture recognition

P Garg, N Aggarwal, S Sofat - International Journal of Computer and …, 2009 - academia.edu
With the development of ubiquitous computing, current user interaction approaches with
keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the …

[PDF][PDF] A review on Indian sign language recognition

AV Nair, V Bindu - International journal of computer applications, 2013 - Citeseer
ABSTRACT Automatic Sign Language Recognition is an extensive research area in the field
of human computer interaction. Such recognition systems are meant to replace sign …

A convolutional neural network with feature fusion for real-time hand posture recognition

SF Chevtchenko, RF Vale, V Macario… - Applied Soft Computing, 2018 - Elsevier
Gesture based human–computer interaction is both intuitive and versatile, with diverse
applications such as in smart houses, operating theaters and vehicle infotainment systems …

Vision-based hand posture detection and recognition for Sign Language—A study

S Bilal, R Akmeliawati, MJ El Salami… - 2011 4th International …, 2011 - ieeexplore.ieee.org
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an
appealing test bed for understanding more general principles for hand shape, location and …

Human–robot interaction based on gesture and movement recognition

X Li - Signal Processing: Image Communication, 2020 - Elsevier
Human–robot interaction (HRI) has become a research hotspot in computer vision and
robotics due to its wide application in human–computer interaction (HCI) domain. Based on …

A deep learning-based end-to-end composite system for hand detection and gesture recognition

AAQ Mohammed, J Lv, MS Islam - Sensors, 2019 - mdpi.com
Recent research on hand detection and gesture recognition has attracted increasing interest
due to its broad range of potential applications, such as human-computer interaction, sign …

A convolutional neural network and classical moments-based feature fusion model for gesture recognition

AA Barbhuiya, RK Karsh, R Jain - Multimedia systems, 2022 - Springer
Hand gesture recognition is a significant and challenging building block for different
computer vision applications such as controlling, conversational, manipulative, and …

Multi-objective optimization for hand posture recognition

SF Chevtchenko, RF Vale, V Macario - Expert Systems with Applications, 2018 - Elsevier
Hand gestures are an intuitive way for humans to interact with computers. They are
becoming increasingly popular in several applications, such as smart houses, games …

Novel FPGA implementation of hand sign recognition system with SOM–Hebb classifier

H Hikawa, K Kaida - … Transactions on Circuits and Systems for …, 2014 - ieeexplore.ieee.org
This paper proposes a hardware posture recognition system with a hybrid network. The
hybrid network consists of self-organizing map (SOM) and Hebbian network. Feature vectors …