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Hand Gesture Recognition for Human Computer Interaction: A Comparative Study of Different Image Features [chapter]

Paulo Trigueiros, Fernando Ribeiro, Luís Paulo Reis
2014 Communications in Computer and Information Science  
Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning.  ...  In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction.  ...  We were able to prove in the recent implementations, that this method was able to improve feature extraction accuracy with implications in the final gesture classification.  ... 
doi:10.1007/978-3-662-44440-5_10 fatcat:xdokpmk3abdkfeazytfuuf6wje

HGRIHCI: Hand Gesture Recognition for Intuitive Human Computer Interaction

Arindam Sarkar, Shilpi Bose, Chandra Das
2016 International Journal of Computer Applications  
Gesture Recognition using Computer Vision opens up a whole new frontier in Human-Computer Interaction. Hand gestures are natural, intuitive, and require almost no learning, or remembering whatsoever.  ...  Viola-Jones Cascade Object Detector with Histogram of Orientation Gradients (HOG) features is used to detect Hand candidates (Open Palm or Fist).  ...  For the recognition of hand postures, the image of a detected hand forms the candidate image which is directly compared with prototype images of hand postures.  ... 
doi:10.5120/ijca2016912168 fatcat:vwnsfnjvwjdw5pfhi3lgfinike

Vision-Based Hand Gesture Recognition for Human-Computer Interaction [chapter]

Xenophon Zabulis, Haris Baltzakis, Antonis Argyros
2009 Human Factors and Ergonomics  
Recognition Computer Vision Techniques for Hand Gesture Recognition Computer Vision Techniques for Hand Gesture Recognition The Proposed Approach to Human-Robot Interaction based on Hand  ...  for Hand Gesture Recognition Computer Vision Techniques for Hand Gesture Recognition Computer Vision Techniques for Hand Gesture Recognition Computer Vision Techniques for Hand Gesture  ... 
doi:10.1201/9781420064995-c34 fatcat:ethpj6kys5dpdjihszbkjgqewa

A hand gesture recognition technique for human–computer interaction

Nurettin Çağrı Kılıboz, Uğur Güdükbay
2015 Journal of Visual Communication and Image Representation  
We propose an approach to recognize trajectory-based dynamic hand gestures in real time for human-computer interaction (HCI).  ...  The results of the conducted user study show that the proposed method is very promising in terms of gesture detection and recognition performance (73% accuracy) in a stream of motion.  ...  Acknowledgment The first author is supported by The Scientific and Technological Research Council of Turkey (TÜB _ ITAK) under B _ IDEB 2210 Graduate Scholarship.  ... 
doi:10.1016/j.jvcir.2015.01.015 fatcat:632b5qaonrc2vg6epe4wm7adoq


Ann Abraham Babu .
2015 International Journal of Research in Engineering and Technology  
Hand gesture recognition is a very challenging topic for real life applications because of its requirements on the robustness, accuracy and efficiency.  ...  This system involves four phases namely image acquisition, image pre-processing, feature extraction and gesture recognition. In the first phase, the input image is acquired with the help of a camera.  ...  ACKNOWLEDGEMENTS I thank the Lord Almighty for his grace and blessings which helped me to complete this study. I remain immensely obliged to my guide Dr.  ... 
doi:10.15623/ijret.2015.0403003 fatcat:kf2dbxfggzbqzmeolk2jzoypbm

Real Time Multiple Hand Gesture Recognition System for Human Computer Interaction

Siddharth S. Rautaray, Anupam Agrawal
2012 International Journal of Intelligent Systems and Applications  
The present research work focuses on to design and develops a practical framework for real time hand gesture Index Terms-Real t ime, gesture recognition, human computer interaction, tracking.  ...  The gesture recognition system consist of three main modules like hand segmentation, hand tracking and gesture recognition fro m hand features.  ...  Real Time Multiple Hand Gesture Recognition System for Human Computer Interaction 57 Copyright © 2012 MECS I.J.  ... 
doi:10.5815/ijisa.2012.05.08 fatcat:ow7xj5tlabb3jdavzuvs6w5nfi

Vision based hand gesture recognition for human computer interaction: a survey

Siddharth S. Rautaray, Anupam Agrawal
2012 Artificial Intelligence Review  
This paper also provides an analysis of existing literature related to gesture recognition systems for human computer interaction by categorizing it under different key parameters.  ...  It further discusses the advances that are needed to further improvise the present hand gesture recognition systems for future perspective that can be widely used for efficient human computer interaction  ...  of vision based hand gesture recognition for human computer interaction.  ... 
doi:10.1007/s10462-012-9356-9 fatcat:qtmmnc5bdfatnjyryw724nvy2i

Hand Gesture Recognition for Human-Computer Interaction Through Infrared Motion Sensing

Jan Adriano, Jay Delicana, Enrico Aquino, Karl Jamoralin, Cyrel Ontimare, Christopher Cabael, Noel Linsangan
2010 The International Conference on Electrical Engineering  
This paper presents a method of computer interaction using the IS-300Pro Precision Motion Tracker.  ...  The motion tracker compares the gestures with a defined pattern of movement so that it can be recognized.  ...  of using hand gestures as a means of interaction between humans and computers.  ... 
doi:10.21608/iceeng.2010.33267 fatcat:cc2vpdvk5jcfvikvi5hm4c4tmu

Lower Order Krawtchouk Moment-Based Feature-Set for Hand Gesture Recognition

Bineet Kaur, Garima Joshi
2016 Advances in Human-Computer Interaction  
The paper measures the effectiveness of shape recognition capability of 2D Krawtchouk features at lower orders on the basis of Jochen-Triesch's database and hand gesture database of 10 Indian Sign Language  ...  Experimental results demonstrate that the reduced feature dimensionality gives competent accuracy as compared to the original feature-set for all the proposed classifiers.  ...  Competing Interests The authors declare that there are no competing interests regarding the publication of this paper.  ... 
doi:10.1155/2016/6727806 fatcat:ioh2xptrxjgybjabmq22knet24

Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review

Shahzad Ahmed, Karam Dad Kallu, Sarfaraz Ahmed, Sung Ho Cho
2021 Remote Sensing  
HumanComputer Interfaces (HCI) deals with the study of interface between humans and computers.  ...  We review the available techniques for multi-domain hand gestures data representation for different signal processing and deep-learning-based HGR algorithms.  ...  Acknowledgments: The authors would like to thank the reviewers for their time and effort. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13030527 fatcat:ncc4pliux5dnnbcxfpuaalfyuq

Advances in the Study of Hand Gesture Recognition Systems for Human Computer Interaction

P. Rodrigo Díaz-Monterrosas, Rubén Posada-Gómez, Albino Martínez-Sibaja
2015 Research in Computing Science  
In this paper, a review of recent research efforts in Human Computer Interaction (HCI), specifically in hand gesture recognition, is performed, analyzing the state-of-the-art methodology and discussing  ...  Usually, computing devices interaction is accomplished by means of a mouse and a keyboard or by touching the screen, but otherwise, human beings relate to their surrounding world using hands, body, and  ...  Using the history of motion, the trajectory of movement of the hand is drawn and used to identify a gesture. The image database consists of four different gestures.  ... 
doi:10.13053/rcs-96-1-2 fatcat:yw44mcpm65cqva5avwhg3qjgqy

A Real-Time Approach to the Spotting, Representation, and Recognition of Hand Gestures for Human–Computer Interaction

Yuanxin Zhu, Guangyou Xu, David J. Kriegman
2002 Computer Vision and Image Understanding  
Aiming at the use of hand gestures for human-computer interaction, this paper presents a real-time approach to the spotting, representation, and recognition of hand gestures from a video stream.  ...  The representation is extracted by combining robust parameterized image motion regression and shape features of a segmented hand.  ...  This research was funded by National 863 Hi-Tech Program of China under Contract 863-306-03-011. D. Kriegman was partially funded under NSF ITR NSF CCR 00-86094.  ... 
doi:10.1006/cviu.2002.0967 fatcat:umoc3ufdbrgvde7573dq6t2j7m

Real Time Hand Gesture Recognition for Human Machine Communication Using ARM Cortex A-8

Vignesh. S, Mr.P. Saravanan.
2014 IOSR Journal of Computer Engineering  
Different type of gestures stored in a database, computer vision [4] can estimate each gesture [5].  ...  Image recognition is the process of identifying and detecting an object or a feature in a digital image or video [10] .  ...  Its provide them new ways of interaction for human and machine.  ... 
doi:10.9790/0661-16294348 fatcat:ird4zae4undq5kfodeqyqr364a

Histogram of 3D Facets: A depth descriptor for human action and hand gesture recognition

Chenyang Zhang, Yingli Tian
2015 Computer Vision and Image Understanding  
However, these methods for 3D depth-map-based hand gesture recognition have only applied the existing 2D feature descriptors to the depth images, such as Gabor filter bank [5] or contour matching [6] .  ...  The recent successful commercialization of depth sensors has made it possible to effectively capture depth images in real time, and thus creates a new modality for many computer vision tasks including  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their constructive comments and insightful suggestions that improved the quality of this manuscript.  ... 
doi:10.1016/j.cviu.2015.05.010 fatcat:4asam2eevrg5fnbqopol5i7n64

Robustness Analysis of 3D Convolutional Neural Network for Human Hand Gesture Recognition

Dang-Manh Truong, Dang-Manh Truong was with Hanoi University of Science Technology, Vietnam, Huong-Giang Doan, Thanh-Hai Tran, Hai Vu, Thi-Lan Le
2019 International Journal of Machine Learning and Computing  
Recently, a number of methods for dynamic hand gesture recognition has been proposed.  ...  In this work, we deeply investigate performance of advanced convolutional neural networks for a specific case of hand gestures and evaluate how robust it is to above variations.  ...  INTRODUCTION In recent years, hand gesture recognition has gained a great attention of researchers thanks to its potential applications such as sign language translation, human computer interactions [  ... 
doi:10.18178/ijmlc.2019.9.2.777 fatcat:jfsueve7dre4jm4ye7kiezofju
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