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Vision Based Hand Gesture Recognition

Pragati Garg, Naveen Aggarwal, Sanjeev Sofat
2009 Zenodo  
Direct use of hands as an input device is an attractive method for providing natural Human Computer Interaction which has evolved from text-based interfaces through 2D graphical-based interfaces, multimedia-supported  ...  In this paper a review of vision based hand gesture recognition is presented.  ...  Real-time tracking is achieved by finding the closest possibly deformed model matching the image.  ... 
doi:10.5281/zenodo.1074855 fatcat:q75pbbjxwbglljmwjwwzgdhzxq

Dual quaternion based virtual hand interaction modeling

WenFeng Chen, ShuJing Zhu, HuaGen Wan, JieQing Feng
2013 Science China Information Sciences  
Specifically, for interactions with the system, hand gestures are usually preferred as command inputs; for interactions with virtual 3D objects, a virtual hand is often a necessity for manipulation tasks  ...  In this paper, a novel approach for virtual hand interaction modeling based on dual quaternion is proposed.  ...  More issues such as real-time collision detection and virtual grasping heuristics must be addressed, besides the similar operations as hand/finger tracking and virtual hand deformation.  ... 
doi:10.1007/s11432-013-4815-8 fatcat:csnaxnatvnh3bbdot3uj4kmt3a

Performance Improvement of Data Fusion Based Real-Time Hand Gesture Recognition by Using 3-D Convolution Neural Networks With Kinect V2

2019 Information and Knowledge Management  
Hand gestures are natural and intuitive communication way for the human being to interact with his environment.  ...  In this paper, we propose Data Fusion Based Real-Time Hand Gesture Recognition using 3-D Convolutional Neural Networks and Kinect V2. To achieve the accurate segmentation and tracking with Kinect V2.  ...  Based upon a number of defects, finger count was determined [20] . Kinect V2 to recognize different human hand gestures. Kinect is a kind of human-computer interaction facilities.  ... 
doi:10.7176/ikm/9-1-02 fatcat:x3sb6olpszh4xcjjmbhtszfwje

Human Computer interaction for smart environment applications using hand gestures and facial expressions

Qing Chen, Marius D. Cordea, Emil M. Petriu, Annamaria R. Varkonyi Koczy, Thomas E. Whalen
2009 International Journal of Advanced Media and Communication  
The paper discusses two body-language humancomputer interaction modalities, namely facial expressions and hand gestures, for healthcare and smart environment applications.  ...  ACKNOWLEDGMENT This work was funded in part by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Communications and Information Technology Ontario (CITO), and the Communications  ...  These non-verbal interaction modalities are particularly suited for the real-time monitoring of the human behavior in a variety of human-centered ubiquitous computer applications such as intelligent networked  ... 
doi:10.1504/ijamc.2009.026854 fatcat:2gvfsukaqfapfieagvmtm7igui

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

Siddharth S. Rautaray, Anupam Agrawal
2012 Artificial Intelligence Review  
The use of hand gestures as a natural interface serves as a motivating force for research in gesture taxonomies, its representations and recognition techniques, software platforms and frameworks which  ...  It focuses on the three main phases of hand gesture recognition i.e. detection, tracking and recognition.  ...  of vision based hand gesture recognition for human computer interaction.  ... 
doi:10.1007/s10462-012-9356-9 fatcat:qtmmnc5bdfatnjyryw724nvy2i

A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application

Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
With the heated trend of augmented reality (AR) and popularity of smart head-mounted devices, the development of natural human device interaction is important, especially the hand gesture based interaction  ...  This paper presents a solution for the point gesture based interaction in the egocentric vision and its application.  ...  This research is supported in part by MSRA Sponsored Project  ... 
doi:10.1109/cvprw.2016.53 dblp:conf/cvpr/HuangLZJ16 fatcat:5ws4o6v23rcv7bycjplzctxsnu


Patrick Parzer, Adwait Sharma, Anita Vogl, Jürgen Steimle, Alex Olwal, Michael Haller
2017 Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology - UIST '17  
We provide a detailed description of our hybrid gesture detection pipeline that uses learning-based algorithms and heuristics to enable real-time gesture detection and tracking.  ...  In this work, we introduce SmartSleeve, a deformable textile sensor, which can sense both surface and deformation gestures in real-time.  ...  Real-time, continuous gesture recognition A number of pressure based sensing have explored sport and activity tracking.  ... 
doi:10.1145/3126594.3126652 dblp:conf/uist/ParzerSVSOH17 fatcat:fuawav5jjbcfjpirburhd7kg7u

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.  ...  Then, it is detected in real time and given as the position information of human arm, i.e., positions of nodes in the skeleton model, by the Kinect sensor installed in the robot.  ... 
doi:10.1007/s40903-016-0046-9 fatcat:42dti6iwejhu7gyx2g7f7uwjky

A Survey on Vision-based Dynamic Gesture Recognition

Sumpi Saikia, Sarat Saharia
2016 International Journal of Computer Applications  
Gesture is the most primitive way of communication among human being.  ...  Today in the era of modern technology gesture recognition influences the world very diversely, from the physically challenged people to robot control to virtual reality environments.  ...  In [22] , they provided 3D pointing gesture recognition for natural human computer Interaction HCI in a real-time from binocular views.  ... 
doi:10.5120/ijca2016908655 fatcat:feq7scxuibcm7lz6p44yk75e2a


2014 International Journal of Electronics Signals and Systems  
Hand gesture recognition system can be used for human-computer interaction (HCI).  ...  These video frames can be captured from a low cost webcam (camera) for use in a vision based gesture recognition technique. This paper discusses about the continuous hand gesture recognition.  ...  Real time recognition process with no time delay is one of the features offered by our model. We can use it for real time purpose at any environment.  ... 
doi:10.47893/ijess.2014.1176 fatcat:azkej2y3iffijbmnnoppnidkpq

Three-Dimensional Hand Tracking Based on Microstructure of Hand Motion

Fanwen Min, Zhiquan Feng, Yuanyuan Su, Tingfang Zhang
2014 Journal of Software  
At present, hand tracking based on particle filter obtains current 3D hand gesture mainly by two elements, that is, by current frame of gesture images and by status information of the previous 3D hand  ...  Second, the law is summarized as the microstructure of hand motion.  ...  ACKNOWLEDGMENT This paper is supported by the National Natural Science Foundation of China (No. 61173079) and the Key Project of Natural Science Foundation of Shandong Province (ZR2011FZ003).  ... 
doi:10.4304/jsw.9.8.2133-2141 fatcat:yhwci6mn4nbvdo4kgsos4gaf34

An interface for virtual 3D sculpting via physical proxy

Jia Sheng, Ravin Balakrishnan, Karan Singh
2006 Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia - GRAPHITE '06  
We explore the design space of using direct finger input in conjunction with a deformable physical prop for the creation and manipulation of conceptual 3D geometric models.  ...  A prototype implementation uses camera-based motion tracking technology to track passive markers on the fingers and prop.  ...  Tracking both hands enable the exploration of two-handed operations, as commonly observed in real-world clay modeling.  ... 
doi:10.1145/1174429.1174467 dblp:conf/graphite/ShengBS06 fatcat:yqiwycnf6zh7lamkzkr3t6wpvy

Organic User Interfaces: Framework, Interaction Model and Design Guidelines

Atef Zaki Ghalwash, Sara Khaled Nabil
2013 International Journal of Ad Hoc, Sensor and Ubiquitous Computing  
By categorizing the input techniques of OUI systems, we were able to propose the '/ Manipulation/ air-Gesture' (SMaG) interaction model.  ...  Although some work have been made in organic user interface (OUI) design principles, no formalized framework have been set for OUIs and their interaction model, or design-specific guidelines, as far as  ...  in OUI it is considered one of many hand-based input interaction techniques.  ... 
doi:10.5121/ijasuc.2013.4404 fatcat:ytjagtrn6be2dkpo2zmrckiami

Using Virtual Reality Techniques in the Animation Process [chapter]

Daniel Thalmann
1993 Virtual Reality Systems  
A classification of VR-based methods is proposed: real-time rotoscopy methods, real-time direct metaphors and real-time recognitionbased metaphors.  ...  This paper tries to find the various functions involved in an animation system and how virtual reality techniques and multimedia input could play a role.  ...  Acknowledgments The author would like to thank Russel Turner for the design of Figure 1 and Arghyro Paouri and Agnes Daldegan for the design of several color plates.  ... 
doi:10.1016/b978-0-12-227748-1.50019-6 fatcat:rlajsnlpnfblviesgno5rwnoai

Research Trends in Hand Gesture Recognition Techniques

2020 International journal of recent technology and engineering  
Gestures are considered as more easy, natural, and intuitive method for communicating with systems. Hand recognition and analysis forms the core of these systems.  ...  Exploring effective Human Computer Interactions (HCI) has always been of great interest for development of new techniques and methods.  ...  This framework is used in real time. To segment the human hand skin color feature is used. By adaptively using Bayesian classifier human hand is segmented from the captured image.  ... 
doi:10.35940/ijrte.f7519.038620 fatcat:3jrssf2gu5hhhd4jz7bwpz77bi
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