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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  
The gesture is then classified according to a training set of gestures. In experiments with a library of 12 gestures, the recognition rate was over 90%.  ...  Through the development of a prototype gesture-controlled panoramic map browser, we demonstrate that a vocabulary of predefined hand gestures can be used to interact successfully with applications running  ...  Yu Huang for discussions on various issues, Dr.  ... 
doi:10.1006/cviu.2002.0967 fatcat:umoc3ufdbrgvde7573dq6t2j7m

Gesture control interface for immersive panoramic displays

Marcel Alcoverro, Xavier Suau, Josep R. Morros, Adolfo López-Méndez, Albert Gil, Javier Ruiz-Hidalgo, Josep R. Casas
2013 Multimedia tools and applications  
In this paper, we propose a gesture-based interface designed to interact with panoramic scenes. The system combines novel static gestures with a fast hand tracking method.  ...  The overall system is multi-user, and incorporates a user identification module based on face recognition, which is able both to recognize returning users and to add new users online.  ...  Gesture localization The gesture localization builds upon the method proposed by [17] , which is based on class-specific (one-vs-all) random forests using depth data.  ... 
doi:10.1007/s11042-013-1605-7 fatcat:qycadzzidne53j7efj4ltcoa6m

Detection, Recognition, and Tracking: A Survey [article]

Shiyao Chen, Dale Chen-Song
2022 arXiv   pre-print
In this literature review, we focus on some novel techniques on object detection and recognition, and how to apply tracking algorithms to the detected features to track the objects' movements.  ...  However, these tasks prove challenging for computers to do effectively, as there is a significant amount of data to parse through.  ...  [8] applied the recognition method introduced in section III-A to ground air traffic control gestures and other human pose recognition, the experiments showed an around 90% accuracy on recognition human  ... 
arXiv:2203.11900v1 fatcat:jhxnjhhmgjg7dm5guqfnzp66ia

DeepHandsVR: Hand Interface Using Deep Learning in Immersive Virtual Reality

Taeseok Kang, Minsu Chae, Eunbin Seo, Mingyu Kim, Jinmo Kim
2020 Electronics  
Next, a survey experiment was conducted to statistically analyze and evaluate the positive effects on the sense of presence through user satisfaction with the interface experience.  ...  This interface uses the method of applying image classification training process of capturing a 3D virtual hand gesture model as a 2D image using a deep learning model, convolutional neural network (CNN  ...  Table 1 shows the statistical data based on the survey results.  ... 
doi:10.3390/electronics9111863 fatcat:zyywlmv5ybaqdkf5yp7vvr4gsm

Deep Learning in Mobile Information Systems

Malik Jahan Khan, Irfan Awan, Zeeshan Ali Rana
2021 Mobile Information Systems  
Chen et al. have presented a survey on the deployment of deep learning in computational-resource-limited platforms.  ...  Fan et al. have presented a deep learning model for quick and accurate rock recognition with smart phones to help geological surveys.  ... 
doi:10.1155/2021/1296849 fatcat:ltsx6pyr2vevxp4cshsei2fcwi

PARS: Using Augmented 360-Degree Panoramas of Reality for Construction Safety Training

Ricardo Eiris, Masoud Gheisari, Behzad Esmaeili
2018 International Journal of Environmental Research and Public Health  
Considering the inadequacies of traditional safety-training methods (e.g., passive lectures, videos, demonstrations), researchers have employed advanced visualization techniques such as virtual reality  ...  technologies to enable users to actively improve their hazard-identification skills in a safe and controlled environment.  ...  [35] developed a computer-based learning resource that used overlapping images to explore a virtual panoramic site.  ... 
doi:10.3390/ijerph15112452 pmid:30400318 fatcat:zixvf3qjc5b6le4iudsa6cqvgi

VR content creation and exploration with deep learning: A survey

Miao Wang, Xu-Quan Lyu, Yi-Jun Li, Fang-Lue Zhang
2020 Computational Visual Media  
This article surveys recent research that uses such deep learning methods for VR content creation and exploration.  ...  employed, designed specifically to handle panoramic images and video and virtual 3D scenes.  ...  Fang-Lue Zhang was supported by a Victoria Early-Career Research Excellence Award.  ... 
doi:10.1007/s41095-020-0162-z fatcat:lgogzx26bvhn5f7uyefjkz7zny

Calligraphic Interfaces: Mixed Metaphors for Design [chapter]

João P. Pereira, Joaquim A. Jorge, Vasco A. Branco, F. Nunes Ferreira
2003 Lecture Notes in Computer Science  
Further, using gestures to enter commands and sketches to draw shapes requires users to learn a command set -sketches do not enjoy the self-disclosing characteristics of menus.  ...  Such applications rely on continuous input modalities rather than discrete interactions characteristic of WIMP interfaces.  ...  [13] present a survey on interfaces that make use of various forms of recognition such as gesture, handwriting and speech interpretation.  ... 
doi:10.1007/978-3-540-39929-2_11 fatcat:clta4dmbmnfhvfgesaouivr2fm

A Folk Song Retrieval System with a Gesture-Based Interface

Attila Licsar, Tamàs Sziranyi, Làszlò Kovacs, Balàzs Pataki
2009 IEEE Multimedia  
One example is Zernike's method, which relies on a recognition technique based on a shape's rotation. 12 Another method uses orientation histograms, which are invariant to lighting conditions but sensitive  ...  This article presents a folk song search-and-retrieval system that relies on a gesture-based interface.  ... 
doi:10.1109/mmul.2009.41 fatcat:rin4qqhwsrcmbntjkxjobsvhpa

Skin Detection for Hand Gesture Interfaces using Assimilative Background [article]

Jokin Santurde, Diego Borro, Luis M. Matey
2006 Ibero-American Symposium on Computer Graphics  
This paper describes the study realized about hand movement capture systems oriented to gesture interfaces. Thanks to this study we have developed a skin colour based hand detection application.  ...  The state of the art already done provides a good starting point in the documentation stage of a hand detector creation for a gesture interface.  ...  The user manipulates images projected on a panoramic screen with a pair of reflective gloves. A mounted camera keeps track of hand movements and a computer interprets gestures.  ... 
doi:10.2312/localchapterevents/siacg/siacg06/195-202 dblp:conf/siacg/SanturdeBM06 fatcat:dxirkprch5enxma7mlo7q6qy4i

Review of Interfaces for Industrial Human-Robot Interaction

Julia Berg, Shuang Lu
2020 Current Robotics Reports  
Recent Findings Research approaches address especially speech and gesture recognition in both fields but are more explored in service robotics.  ...  Summary The development of human-robot interfaces is leading towards intuitive interfaces, especially using speech and gesture recognition and combining them to multimodal interfaces.  ...  In order to define the gestures, within the project, a survey on feasible gestures was conducted.  ... 
doi:10.1007/s43154-020-00005-6 fatcat:mtppdz47nvbdplahjqsvs3lmd4

A Mini-Survey and Feasibility Study of Deep-Learning-Based Human Activity Recognition from Slight Feature Signals Obtained Using Privacy-Aware Environmental Sensors

Hirokazu Madokoro, Stephanie Nix, Hanwool Woo, Kazuhito Sato
2021 Applied Sciences  
Feasibility study results show the new possibility of HAR used for ADL based on unique sensors of two types.  ...  Numerous methods and applications have been proposed in human activity recognition (HAR).  ...  We roughly divide recognition methods into two types: conventional machine learning (CML)-based methods and DL-based [21] methods.  ... 
doi:10.3390/app112411807 fatcat:fzbm7jfstrem7gkozowgbdo27a

The Symmetries in Film and Television Production Areas Based on Virtual Reality and Internet of Things Technology

Zheng Xie
2020 Symmetry  
The audience recognition of film and television production based on this technology is 55%, and the impression evaluation is over 56%.  ...  In addition, by utilizing Twirling720, the panoramic sound recording is achieved. Through this system, a smart IoT platform between users, films, and devices is built.  ...  Interactive Design Based on Gestures In terms of gestures, the design goal is to select each picture by selecting the handle.  ... 
doi:10.3390/sym12081377 fatcat:h6ertkbounbllhntvvat76evom

Surround-see

Xing-Dong Yang, Khalad Hasan, Neil Bruce, Pourang Irani
2013 Proceedings of the 26th annual ACM symposium on User interface software and technology - UIST '13  
Users confirm the value of embedding peripheral vision capabilities on mobile devices and offer insights for novel usage methods.  ...  Surround-See provides mobile devices with a field-of-view collinear to the device screen.  ...  In our current implementation, Surround-See uses a simple gesture recognition algorithm, which identifies hand gestures based on the hand's moving direction, e.g. moving left, moving right, or waving (  ... 
doi:10.1145/2501988.2502049 dblp:conf/uist/YangHBI13 fatcat:lr26zha5vbfnjjpieyhreqnk5i

The Measurement of Dialogue: From a Case Study of the Workshop Using World Café as a Collective Dialogue Method

Masamichi Takahashi, Keiichi Nemoto, Naoki Hayashi, Ryoji Horita
2014 Journal of Information Processing  
The workshop addresses a new way of working in a Japanese company after the earthquake on March 11, 2011.  ...  method.  ...  of a facilitation method or supporting system based on this approach.  ... 
doi:10.2197/ipsjjip.22.88 fatcat:53r5aukffjbqxfvqrgxkm3cdzi
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