Context aware 3D gesture recognition for games and virtual reality

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[1]  Joseph J. LaViola,et al.  Wizard of Wii: toward understanding player experience in first person games with 3D gestures , 2011, FDG.

[2]  Gregory D. Abowd,et al.  Providing architectural support for building context-aware applications , 2000 .

[3]  Zhi Li,et al.  Real time Hand Gesture Recognition using a Range Camera , 2009, ICRA 2009.

[4]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[5]  Seung-Hwan Choi,et al.  3D-Position Estimation for Hand Gesture Interface Using a Single Camera , 2011, HCI.

[6]  Joseph J. LaViola,et al.  Measuring and reducing observational latency when recognizing actions , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[7]  Sebastian Thrun,et al.  Real time motion capture using a single time-of-flight camera , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Joseph J. LaViola,et al.  3D spatial interaction: applications for art, design, and science , 2011, SIGGRAPH '11.

[9]  Paul Anderson,et al.  Gameplay issues in the design of spatial 3D gestures for video games. , 2006, CHI EA '06.

[10]  Joseph J. LaViola,et al.  3D Gestural Interaction: The State of the Field , 2013 .

[11]  Andrzej Czyzewski,et al.  Examining Classifiers Applied to Static Hand Gesture Recognition in Novel Sound Mixing System , 2012, MISSI.

[12]  Michael Rohs,et al.  Combining acceleration and gyroscope data for motion gesture recognition using classifiers with dimensionality constraints , 2013, IUI '13.

[13]  Michael Rohs,et al.  ShoeSense: a new perspective on gestural interaction and wearable applications , 2012, CHI.

[14]  Shumin Zhai,et al.  Foundational Issues in Touch-Surface Stroke Gesture Design - An Integrative Review , 2012, Found. Trends Hum. Comput. Interact..

[15]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[16]  Maribeth Gandy Coleman,et al.  The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[17]  Michael Rohs,et al.  A $3 gesture recognizer: simple gesture recognition for devices equipped with 3D acceleration sensors , 2010, IUI '10.

[18]  Tadashi Kitamura,et al.  Subunit Modeling for Japanese Sign Language Recognition Based on Phonetically Depend Multi-stream Hidden Markov Models , 2013, HCI.

[19]  Muhammad Younus Javed,et al.  A statistical feature based decision tree approach for hand gesture recognition , 2009, FIT.

[20]  Jr. Joseph J. LaViola,et al.  A Survey of Hand Posture and Gesture Recognition Techniques and Technology , 1999 .

[21]  Fei-Fei Li,et al.  What, where and who? Classifying events by scene and object recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[22]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[23]  Rini Akmeliawati,et al.  Hidden Markov model for human to computer interaction: a study on human hand gesture recognition , 2011, Artificial Intelligence Review.

[24]  Nassir Navab,et al.  An adaptive solution for intra-operative gesture-based human-machine interaction , 2012, IUI '12.

[25]  Nassir Navab,et al.  Human skeleton tracking from depth data using geodesic distances and optical flow , 2012, Image Vis. Comput..

[26]  Frédéric Lerasle,et al.  Two-handed gesture recognition and fusion with speech to command a robot , 2011, Autonomous Robots.

[27]  Michael Rohs,et al.  Protractor3D: a closed-form solution to rotation-invariant 3D gestures , 2011, IUI '11.

[28]  Ronald Poppe,et al.  A survey on vision-based human action recognition , 2010, Image Vis. Comput..

[29]  Andreas Riener.  Gestural Interaction in Vehicular Applications , 2012, Computer.

[30]  Kanad K. Biswas,et al.  Gesture recognition using Microsoft Kinect® , 2011, The 5th International Conference on Automation, Robotics and Applications.

[31]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[32]  Daniel Kelly,et al.  Recognition of Spatiotemporal Gestures in Sign Language Using Gesture Threshold HMMs , 2011 .

[33]  Desney S. Tan,et al.  An ultra-low-power human body motion sensor using static electric field sensing , 2012, UbiComp.

[34]  Joseph J. LaViola,et al.  An introduction to 3D gestural interfaces , 2014, SIGGRAPH '14.

[35]  Anthony Whitehead,et al.  Device agnostic 3D gesture recognition using hidden Markov models , 2009, Future Play.

[36]  Artzai Picón,et al.  Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction , 2010, 2010 IEEE Symposium on 3D User Interfaces (3DUI).

[37]  Dirk Schulz,et al.  Real time interaction with mobile robots using hand gestures , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[38]  Joseph J. LaViola,et al.  Exploring strategies and guidelines for developing full body video game interfaces , 2010, FDG.

[39]  Augustine Tsai,et al.  Hand posture recognition using Hidden Conditional Random Fields , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[40]  Thomas S. Huang,et al.  Gesture modeling and recognition using finite state machines , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[41]  Junsong Yuan,et al.  Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera , 2011, ACM Multimedia.

[42]  Yael Edan,et al.  Vision-based hand-gesture applications , 2011, Commun. ACM.

[43]  Wei Li,et al.  Gesture recognition based on Hidden Markov Model from sparse representative observations , 2012, 2012 IEEE 11th International Conference on Signal Processing.

[44]  Daqing Zhang,et al.  Gesture Recognition with a 3-D Accelerometer , 2009, UIC.

[45]  Joseph J. LaViola,et al.  Full Body Locomotion with Video Game Motion Controllers , 2013 .

[46]  Desney S. Tan,et al.  Skinput: appropriating the body as an input surface , 2010, CHI.

[47]  Sarajane Marques Peres,et al.  Gesture unit segmentation using support vector machines: segmenting gestures from rest positions , 2013, SAC '13.

[48]  Helena M. Mentis,et al.  Instructing people for training gestural interactive systems , 2012, CHI.

[49]  Zhi Li,et al.  Real time Hand Gesture Recognition using a Range Camera , 2009, ICRA 2009.

[50]  Dennis Wixon,et al.  The Natural User Interface , 2011 .

[51]  Trevor Darrell,et al.  Hidden Conditional Random Fields for Gesture Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[52]  Ivan Poupyrev,et al.  3D User Interfaces: Theory and Practice , 2004 .

[53]  Sung-Bae Cho,et al.  Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer , 2011, HAIS.

[54]  Kouichi Murakami,et al.  Gesture recognition using recurrent neural networks , 1991, CHI.

[55]  Patrick Olivier,et al.  Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor , 2012, UIST.

[56]  Aytül Erçil,et al.  A decision forest based feature selection framework for action recognition from RGB-depth cameras , 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

[57]  Dean Rubine,et al.  Specifying gestures by example , 1991, SIGGRAPH.

[58]  Greg Welch,et al.  Motion Tracking: No Silver Bullet, but a Respectable Arsenal , 2002, IEEE Computer Graphics and Applications.

[59]  Stan Salvador,et al.  FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space , 2004 .

[60]  Nassir Navab,et al.  A flexible platform for developing context-aware 3D gesture-based interfaces , 2012, IUI '12.

[61]  Bastian Leibe,et al.  MIND-WARPING: towards creating a compelling collaborative augmented reality game , 2000, IUI '00.

[62]  Zhang Peng,et al.  An Automatic Hand Gesture Recognition System Based on Viola-Jones Method and SVMs , 2009, 2009 Second International Workshop on Computer Science and Engineering.

[63]  Robin R. Murphy,et al.  Hand gesture recognition with depth images: A review , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

[64]  Yale Song,et al.  Continuous body and hand gesture recognition for natural human-computer interaction , 2012, TIIS.

[65]  Bharti Bansal,et al.  Gesture Recognition: A Survey , 2016 .

[66]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[67]  Joseph J. LaViola,et al.  A Practical Approach for Writer-Dependent Symbol Recognition Using a Writer-Independent Symbol Recognizer , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[68]  Sungyoung Lee,et al.  Two-stage Hidden Markov Model in Gesture Recognition for Human Robot Interaction , 2012 .

[69]  Joseph J. LaViola,et al.  Exploring 3D gestural interfaces for music creation in video games , 2009, FDG.

[70]  Doo Young Kwon,et al.  A design framework for 3D spatial gesture interfaces , 2008 .

[71]  Emiko Charbonneau,et al.  The Wiimote and Beyond: Spatially Convenient Devices for 3D User Interfaces , 2010, IEEE Computer Graphics and Applications.

[72]  Dong Han,et al.  Selection and context for action recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[73]  Nassir Navab,et al.  Learning Gestures for Customizable Human-Computer Interaction in the Operating Room , 2011, MICCAI.

[74]  Joseph J. LaViola,et al.  An introduction to 3D spatial interaction with video game motion controllers , 2010, SIGGRAPH '10.

[75]  Shin'ichi Satoh,et al.  Human gesture recognition system for TV viewing using time-of-flight camera , 2011, Multimedia Tools and Applications.

[76]  Yael Edan,et al.  Designing Hand Gesture Vocabularies for Natural Interaction by Combining Psycho-Physiological and Recognition Factors , 2008, Int. J. Semantic Comput..

[77]  Nazli Ikizler-Cinbis,et al.  Object, Scene and Actions: Combining Multiple Features for Human Action Recognition , 2010, ECCV.

[78]  Andrew D. Wilson.  Sensor- and Recognition-Based Input for Interaction , 2009 .

[79]  Zhenyu He,et al.  Gesture recognition based on 3D accelerometer for cell phones interaction , 2008, APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems.

[80]  Sylvain Paris,et al.  6D hands: markerless hand-tracking for computer aided design , 2011, UIST.

[81]  Joseph J. LaViola,et al.  3D Gesture classification with linear acceleration and angular velocity sensing devices for video games , 2013, Entertain. Comput..

[82]  Panos E. Trahanias,et al.  Gesture recognition based on arm tracking for human-robot interaction , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[83]  Xin Zhang,et al.  Real-time fingertip tracking and detection using Kinect depth sensor for a new writing-in-the air system , 2012, ICIMCS '12.

[84]  Kongqiao Wang,et al.  A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[85]  Paolo Dario,et al.  A Survey of Glove-Based Systems and Their Applications , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[86]  Trevor Darrell,et al.  Hidden Conditional Random Fields , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[87]  Chris Harrison,et al.  OmniTouch: wearable multitouch interaction everywhere , 2011, UIST.

[88]  Trevor Darrell,et al.  Head gesture recognition in intelligent interfaces: the role of context in improving recognition , 2006, IUI '06.

[89]  Larry S. Davis,et al.  Objects in Action: An Approach for Combining Action Understanding and Object Perception , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[90]  Desney S. Tan,et al.  Making muscle-computer interfaces more practical , 2010, CHI.

[91]  Lale Akarun,et al.  Hand Pose Estimation and Hand Shape Classification Using Multi-layered Randomized Decision Forests , 2012, ECCV.

[92]  Fengming Zhang,et al.  Hand Gesture Recognition Based on MEB-SVM , 2009, 2009 International Conference on Embedded Software and Systems.

[93]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[94]  Z. Zenn Bien,et al.  User adaptive hand gesture recognition using multivariate fuzzy decision tree and fuzzy garbage model , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[95]  Ayoub Al-Hamadi,et al.  Discriminative Models-Based Hand Gesture Recognition , 2009, 2009 Second International Conference on Machine Vision.

[96]  Alex Pentland,et al.  Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[97]  Mauro dos Santos Anjo,et al.  Fingerspelling Recognition with Support Vector Machines and Hidden Conditional Random Fields - A Comparison with Neural Networks and Hidden Markov Models , 2012, IBERAMIA.

[98]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[99]  Daniel Thalmann,et al.  3D fingertip and palm tracking in depth image sequences , 2012, ACM Multimedia.

[100]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[101]  Danica Kragic,et al.  Visual object-action recognition: Inferring object affordances from human demonstration , 2011, Comput. Vis. Image Underst..

[102]  Jürgen Beyerer,et al.  Robust Hand Tracking in Realtime Using a Single Head-Mounted RGB Camera , 2013, HCI.

[103]  Ying Wu,et al.  Vision-Based Gesture Recognition: A Review , 1999, Gesture Workshop.

[104]  Joseph J. LaViola,et al.  Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition , 2013, International Journal of Computer Vision.

[105]  Yunde Jia,et al.  Human Action Recognition Using Manifold Learning and Hidden Conditional Random Fields , 2008, 2008 The 9th International Conference for Young Computer Scientists.

[106]  Colin Ware,et al.  Using the bat: a six-dimensional mouse for object placement , 1988, IEEE Computer Graphics and Applications.

[107]  Irfan A. Essa,et al.  Exploiting human actions and object context for recognition tasks , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[108]  Desney S. Tan,et al.  Humantenna: using the body as an antenna for real-time whole-body interaction , 2012, CHI.

[109]  Yang Li,et al.  Protractor: a fast and accurate gesture recognizer , 2010, CHI.

[110]  Yang Li,et al.  Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes , 2007, UIST.

[111]  Joseph J. LaViola,et al.  Pop through button devices for VE navigation and interaction , 2002, Proceedings IEEE Virtual Reality 2002.

[112]  Mubarak Shah,et al.  Recognizing 50 human action categories of web videos , 2012, Machine Vision and Applications.

[113]  Norbert Schnell,et al.  Continuous Realtime Gesture Following and Recognition , 2009, Gesture Workshop.

[114]  Wen Gao,et al.  Large vocabulary sign language recognition based on hierarchical decision trees , 2003, ICMI '03.

[115]  Xia Liu,et al.  Hand gesture recognition using depth data , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[116]  James M. Rehg,et al.  A Scalable Approach to Activity Recognition based on Object Use , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[117]  Joseph J. LaViola,et al.  Exploring 3d gesture metaphors for interaction with unmanned aerial vehicles , 2013, IUI '13.

[118]  James R. Glass,et al.  Fast spoken query detection using lower-bound Dynamic Time Warping on Graphical Processing Units , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[119]  Desney S. Tan,et al.  Your noise is my command: sensing gestures using the body as an antenna , 2011, CHI.

[120]  Cordelia Schmid,et al.  Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[121]  Desney S. Tan,et al.  SoundWave: using the doppler effect to sense gestures , 2012, CHI.

[122]  Shwetak N. Patel,et al.  LightWave: using compact fluorescent lights as sensors , 2011, UbiComp '11.

[123]  Serban Oprisescu,et al.  Automatic static hand gesture recognition using ToF cameras , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[124]  Irfan Essa,et al.  Object Spaces: Context Management for Human Activity Recognition , 1998 .

[125]  Luc Van Gool,et al.  Real-time 3D hand gesture interaction with a robot for understanding directions from humans , 2011, 2011 RO-MAN.

[126]  Hyunsook Chung,et al.  Conditional random field-based gesture recognition with depth information , 2013 .

[127]  Alexandru Dancu,et al.  The Ultimate Display , 2014 .

[128]  Yale Song,et al.  Multi-signal gesture recognition using temporal smoothing hidden conditional random fields , 2011, Face and Gesture 2011.

[129]  Sang-Heon Lee,et al.  Smart TV interaction system using face and hand gesture recognition , 2013, 2013 IEEE International Conference on Consumer Electronics (ICCE).

[130]  Pattie Maes,et al.  SixthSense: a wearable gestural interface , 2009, SIGGRAPH ASIA Art Gallery & Emerging Technologies.

[131]  Michael Rohs,et al.  The $3 recognizer: simple 3D gesture recognition on mobile devices , 2010, IUI '10.

[132]  Seong-Whan Lee,et al.  Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings , 2010, Pattern Recognit..

[133]  Joseph J. LaViola,et al.  Breaking the status quo: Improving 3D gesture recognition with spatially convenient input devices , 2010, 2010 IEEE Virtual Reality Conference (VR).

[134]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[135]  Nicolas D. Georganas,et al.  Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques , 2011, IEEE Transactions on Instrumentation and Measurement.

[136]  Trevor Darrell,et al.  Latent-Dynamic Discriminative Models for Continuous Gesture Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[137]  Lale Akarun,et al.  Real time hand pose estimation using depth sensors , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[138]  Joseph J. LaViola,et al.  Exploring the Benefits of Context in 3D Gesture Recognition for Game-Based Virtual Environments , 2015, ACM Trans. Interact. Intell. Syst..

[139]  J.K. Aggarwal,et al.  Human activity analysis , 2011, ACM Comput. Surv..

[140]  Stan Sclaroff,et al.  Sign Language Spotting with a Threshold Model Based on Conditional Random Fields , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[141]  Emil M. Petriu,et al.  Hand gesture recognition using Bag-of-features and multi-class Support Vector Machine , 2010, 2010 IEEE International Symposium on Haptic Audio Visual Environments and Games.

[142]  Timo Pylvänäinen,et al.  Accelerometer Based Gesture Recognition Using Continuous HMMs , 2005, IbPRIA.

[143]  Chung-Lin Huang,et al.  Hand gesture recognition using a real-time tracking method and hidden Markov models , 2003, Image Vis. Comput..

[144]  Agnès Just,et al.  A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition , 2009, Comput. Vis. Image Underst..

[145]  S. Venkatesh,et al.  Online Context Recognition in Multisensor Systems using Dynamic Time Warping , 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[146]  Ayoub Al-Hamadi,et al.  LDCRFs-based hand gesture recognition , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[147]  Antonio Criminisi,et al.  Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning , 2012, Found. Trends Comput. Graph. Vis..

[148]  Jovan Popovic,et al.  Real-time hand-tracking with a color glove , 2009, SIGGRAPH '09.

[149]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[150]  Chen-Chiung Hsieh,et al.  Novel Haar features for real-time hand gesture recognition using SVM , 2012, Journal of Real-Time Image Processing.

[151]  Desney S. Tan,et al.  Enabling always-available input with muscle-computer interfaces , 2009, UIST '09.

[152]  Joseph J. LaViola,et al.  CavePainting: a fully immersive 3D artistic medium and interactive experience , 2001, I3D '01.

[153]  Desney S. Tan,et al.  Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces , 2008, CHI.

[154]  Kent Lyons,et al.  The Gesture Watch: A Wireless Contact-free Gesture based Wrist Interface , 2007, 2007 11th IEEE International Symposium on Wearable Computers.

[155]  J. Crowley,et al.  CAVIAR Context Aware Vision using Image-based Active Recognition , 2005 .

[156]  Luca Benini,et al.  Hidden Markov Model based gesture recognition on low-cost, low-power Tangible User Interfaces , 2009, Entertain. Comput..

[157]  Keechul Jung,et al.  Recognition-based gesture spotting in video games , 2004, Pattern Recognit. Lett..

[158]  Von-Wun Soo,et al.  Context-dependent Action Interpretation in Interactive Storytelling Games , 2012, ACHI 2012.

[159]  Andrew W. Fitzgibbon,et al.  Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.

[160]  Jinxiang Chai,et al.  Accurate realtime full-body motion capture using a single depth camera , 2012, ACM Trans. Graph..

[161]  Andries van Dam,et al.  Post-WIMP user interfaces , 1997, CACM.

[162]  Wu-Chih Hu,et al.  Vision-Based Hand Gesture Recognition Using PCA+Gabor Filters and SVM , 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[163]  Philip Kortum,et al.  HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces , 2008 .

[164]  Christian Wöhler,et al.  3D Computer Vision , 2012 .

[165]  Kyle Johnsen,et al.  Immersive 3DUI on one dollar a day , 2012, 2012 IEEE Symposium on 3D User Interfaces (3DUI).

[166]  Darko Kirovski,et al.  Real-time classification of dance gestures from skeleton animation , 2011, SCA '11.

[167]  Ayoub Al-Hamadi,et al.  A framework for the integration of gesture and posture recognition using HMM and SVM , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[168]  Yen-Ting Chen,et al.  Multiple-angle Hand Gesture Recognition by Fusing SVM Classifiers , 2007, 2007 IEEE International Conference on Automation Science and Engineering.

[169]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[170]  Ayoub Al-Hamadi,et al.  Robust methods for hand gesture spotting and recognition using Hidden Markov Models and Conditional Random Fields , 2010, The 10th IEEE International Symposium on Signal Processing and Information Technology.

[171]  Rod McCall,et al.  Lightweight palm and finger tracking for real-time 3D gesture control , 2011, 2011 IEEE Virtual Reality Conference.

[172]  Youdong Ding,et al.  Dynamic Hand Gesture Recognition Using Kinematic Features Based on Hidden Markov Model , 2013 .

[173]  Ching Tang Hsieh,et al.  A Real Time Hand Gesture Recognition System Based on DFT and SVM , 2012, 2012 8th International Conference on Information Science and Digital Content Technology (ICIDT2012).

[174]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[175]  Antonio Criminisi,et al.  Decision Forests for Computer Vision and Medical Image Analysis , 2013, Advances in Computer Vision and Pattern Recognition.