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Hand Gesture Recognition Based on Computer Vision: A Review of Techniques

Munir Oudah, Ali Al-Naji, Javaan Chahl
2020 Journal of Imaging  
algorithms and drawbacks, number and types of gestures, dataset used, detection range (distance) and type of camera used.  ...  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 interaction (HCI), home automation and  ...  98.02% 10 hand gestures man-machine interaction Jochen Triesch Database (JTD) & NAO Camera hand posture Database (NCD) Core i5 processor [97] Kinect - - Skeleton-based hand gesture  ... 
doi:10.3390/jimaging6080073 pmid:34460688 fatcat:zmid23k67vbozb54sfji4nlfiy

RETRACTED ARTICLE: A survey on human–computer interaction technologies and techniques

Haitham Badi, Mohammed Fadhel, Sana Sabry, Mohamed Jasem
2016 International Journal of Data Science and Analytics  
This paper summarizes the surveys carried out in human-computer interaction (HCI) studies and focuses on different application domains that use hand gestures for efficient interaction.  ...  The use of hand gestures as a natural interface serves as a motivating force for research on gesture taxonomy, its representations, and recognition techniques.  ...  This section surveys studies on HCI to classify them according to the gesture representations used for man and machine interaction.  ... 
doi:10.1007/s41060-016-0018-x dblp:journals/ijdsa/BadiFSJ16 fatcat:kru6u7wrprfxlagiyqwgvdrni4

3D Gestural Interaction: The State of the Field

Joseph J. LaViola
2013 ISRN Artificial Intelligence  
3D gestural interaction provides a powerful and natural way to interact with computers using the hands and body for a variety of different applications including video games, training and simulation, and  ...  In addition, we examine the latest in 3D gesture recognition performance in terms of accuracy and gesture set size and discuss how different applications are making use of 3D gestural interaction.  ...  The more recent approaches to recognizing 3D gestures make use of depth cameras because they provide more information than a traditional single camera in that they support extraction of a 3D representation  ... 
doi:10.1155/2013/514641 fatcat:rzkdndomfjaqzew3fham47554u

Advancements in Gesture Recognition Technology

Poluka Srilatha, Tiruveedhula Saranya
2014 IOSR Journal of VLSI and Signal processing  
In this new system gestures are used as inputs which do not require any mechanical elements to communicate between man and machine.  ...  Non-touch based interaction or giving the input to computers with eyes is one major breakthrough in the domain.  ...  Single camera: A standard 2D camera can be used for gesture recognition where the resources/environment would not be convenient for other forms of image-based recognition.  ... 
doi:10.9790/4200-04410107 fatcat:axek5zqav5gp5jwstj2e6cd35u

Metric Pose Estimation for Human-Machine Interaction Using Monocular Vision [article]

Christoph Heindl, Markus Ikeda, Gernot Stübl, Andreas Pichler, Josef Scharinger
2019 arXiv   pre-print
In this work, we describe a monocular camera based system to detect human-machine interactions from a bird's-eye perspective.  ...  Our system predicts poses of humans and robots from a single wide-angle color image. Even though our approach works on 2D color input, we lift the majority of detections to a metric 3D space.  ...  CONCLUSION We demonstrate that the challenging task of monitoring human-machine interactions on a metric scale is largely feasible using a single color camera.  ... 
arXiv:1910.03239v1 fatcat:ghbdwwhfjnemhkcewhmtllfvqy

RETRACTED ARTICLE: A Survey on Recent Vision-Based Gesture Recognition

Haitham Badi
2016 Intelligent Industrial Systems  
This paper summarizes the surveys carried out in human-computer interaction (HCI) studies and focuses on different application domains that use hand gestures for efficient interaction.  ...  The use of hand gestures as a natural interface serves as a motivating force for research on gesture taxonomy, its representations, and recognition techniques.  ...  This section surveys studies on HCI to classify them according to the gesture representations used for man R E T R A C T E D A R T I C L E and machine interaction.  ... 
doi:10.1007/s40903-016-0046-9 fatcat:42dti6iwejhu7gyx2g7f7uwjky

Gestural Interface Interaction: A Methodical Review

Barinder PalSinghAhluwalia, Ritika Wason
2012 International Journal of Computer Applications  
It also examines the architecture and implementation of some such smart tools that attempt to simplify utilization of modern gadgets by using different gestural interface techniques.  ...  The paper also analyzes the scope and applications of various gesture recognition technologies in employing human gestures for device control.  ...  Vision based Tracking Technique This technique uses a camera based LED to analyze sign language [5] .  ... 
doi:10.5120/9657-4077 fatcat:n4enp2rfubewxouh6e333byf5a

Kinect Sensor Based Gesture Recognition for Surveillance Application [article]

Biswarup Ganguly, Amit Konar
2018 arXiv   pre-print
Hand gesture recognition has been granted as one of the emerging fields in research today providing a natural way of communication between man and a machine.  ...  Gestures are some forms of body motions which a person expresses when doing a work or giving a reply.  ...  In chapter 2, gesture based improved human-computer interaction has been defined. Here, single person hand gesture recognition has been carried out using support vector machines algorithm.  ... 
arXiv:1812.09595v1 fatcat:hkayujn4gbavzbviwlbjvliyce

ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons [article]

Ankit Chaudhary, Jagdish L. Raheja
2011 arXiv   pre-print
This system will use fingertip detection techniques for acquiring gesture and Artificial Neural Networks (ANNs) will be used for gesture recognition.  ...  This paper describes an intelligent system ABHIVYAKTI, which would be pervasive in nature and based on the Computer Vision. It would be very easy in use and deployment.  ...  This area has many possibilities in the field of Co mputer Vision and Hu man machine interaction.  ... 
arXiv:1109.6442v2 fatcat:efjnvgdveractnro6hej6bwz5i

3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks [article]

Katia Lupinetti, Andrea Ranieri, Franca Giannini, Marina Monti
2020 arXiv   pre-print
The classification of the gestures is performed using a deep Convolutional Neural Network (CNN).  ...  interaction methods.  ...  .: Gesture recognition using leap motion: a machine learning-based controller interface.  ... 
arXiv:2003.01450v3 fatcat:ji337dhemnd4pck7l7ks5zxoua

Real-time detection and interpretation of 3D deictic gestures for interactionwith an intelligent environment

Jan Richarz, Thomas Plotz, Gernot A. Fink
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
We present a system that enables pointing-based unconstrained interaction with a smart conference room using an arbitrary multi-camera setup.  ...  The detections of multiple cameras are then combined to 3D hypotheses from which deictic gestures are identified and a pointing direction is derived.  ...  This is a major prerequisite for unconstrained vision-based 3D gestural interaction.  ... 
doi:10.1109/icpr.2008.4761609 dblp:conf/icpr/RicharzPF08 fatcat:377jyn2iinb4rngvhkxyyegk4m

Computer Based Human Gesture Recognition With Study Of Algorithms

Mr. Kaushik I Manavadariya
2013 IOSR Journal of Computer Engineering  
To interpret the sign language, the person is used a device like mobile, computer which is embedded with camera like Depth-aware cameras, stereo camera, single camera etc.  ...  It is a good way for building a connection between human and computer system. Gesture recognition enables humans to interface with the machine and interact naturally without any mechanical devices.  ...  Vision based mostly interfaces area unit possible and at this moment the computer is in a position to -see‖. Thence users' area unit allowed for richer and user-friendlier man-machine interaction.  ... 
doi:10.9790/0661-1124150 fatcat:waqx335o2rgezj7c3omkiie4di

Natural Hand Gestures Recognition System for Intelligent HCI: A Survey

Vishal Nayakwadi, N B Pokale
2013 International Journal of Computer Applications Technology and Research  
In this paper a survey on various recent gesture recognition approaches is provided with particular emphasis on hand gestures.  ...  Gesture recognition is to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body.  ...  Two colored cameras for 3D construction are used.  ... 
doi:10.7753/ijcatr0301.1003 fatcat:3yajjs64nfg4jmi2qliibhpkcu

Single and Multiple Hand Gesture Recognition Systems: A Comparative Analysis

Siddharth Rautaray, Manjusha Pandey
2014 International Journal of Intelligent Systems and Applications  
This paper is an effort to provide a comparative analysis between such real time vision based hand gesture recognition systems which are based on interaction using single and multiple hand gestures.  ...  Hence the need of user friendly human machine interfaces for real time interfaces for human computer interaction have to be designed and developed to make the man machine interaction more intuitive and  ...  [13] presents a hand gesture recognition system for a v irtual Rubik's Cube game control that is controlled by EM G and 3D accelero meter to provide a user-friendly interaction between hu man and co  ... 
doi:10.5815/ijisa.2014.11.08 fatcat:x5bzeq5xyfgito3crbv6osai7m

A Camera-Based Input Device for Large Interactive Displays

G.D. Morrison
2005 IEEE Computer Graphics and Applications  
colleagues construct a working system.  ...  Acknowledgments I gratefully acknowledge the support and encouragement of David Martin and Vaughn Keenan of Smart Technologies for providing a research and development environment that helped me and my  ...  The Visual Panel 8 uses a single camera to track a finger against a piece of blank paper in 3D space.  ... 
doi:10.1109/mcg.2005.72 pmid:16060574 fatcat:wox4fxn6u5ch7a37ebxnoavx2e
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