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Hand Gesture Recognition Systems: A Survey

by Arpita Ray Sarkar, G. Sanyal, S. Majumder
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 15
Year of Publication: 2013
Authors: Arpita Ray Sarkar, G. Sanyal, S. Majumder
10.5120/12435-9123

Arpita Ray Sarkar, G. Sanyal, S. Majumder . Hand Gesture Recognition Systems: A Survey. International Journal of Computer Applications. 71, 15 ( June 2013), 25-37. DOI=10.5120/12435-9123

@article{ 10.5120/12435-9123,
author = { Arpita Ray Sarkar, G. Sanyal, S. Majumder },
title = { Hand Gesture Recognition Systems: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 15 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number15/12435-9123/ },
doi = { 10.5120/12435-9123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:35:39.643661+05:30
%A Arpita Ray Sarkar
%A G. Sanyal
%A S. Majumder
%T Hand Gesture Recognition Systems: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 15
%P 25-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gesture was the first mode of communication for the primitive cave men. Later on human civilization has developed the verbal communication very well. But still non-verbal communication has not lost its weightage. Such non – verbal communication are being used not only for the physically challenged people, but also for different applications in diversified areas, such as aviation, surveying, music direction etc. It is the best method to interact with the computer without using other peripheral devices, such as keyboard, mouse. Researchers around the world are actively engaged in development of robust and efficient gesture recognition system, more specially, hand gesture recognition system for various applications. The major steps associated with the hand gesture recognition system are; data acquisition, gesture modeling, feature extraction and hand gesture recognition. There are several sub-steps and methodologies associated with the above steps. Different researchers have followed different algorithm or sometimes have devised their own algorithm. The current research work reviews the work carried out in last twenty years and a brief comparison has been performed to analyze the difficulties encountered by these systems, as well as the limitation. Finally the desired characteristics of a robust and efficient hand gesture recognition system have been described.

References
  1. Malima, A. , Ozgur, E. and Cetin, M. 2006. A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control. In Proc. of 14th IEEE Signal Processing and Communications Applications
  2. Sachs, E. 1989. 3-Draw: a three dimensional computer aided design tool. In Proc. of IEEE International Conference on Systems, Man and Cybernetics
  3. Hyunjin, A. , Daijin, K. 2009. Hand Gesture Recognition using 3D Depth Data. Dept. of CSE. Pohang University of Science and Technology, Korea
  4. LaViola Jr. , J. J. 1999. A Survey of Hand Posture and Gesture Recognition Techniques and Technology. Masters' Thesis, Science and Technology Center for Computer Graphics and Scientific Visualization, USA.
  5. Freeman, W. T. , Weissman, C. D. (1995). Television Control by Hand Gestures. IEEE International Workshop on Automatic Face and Gesture Recognition
  6. Bhuyan, M. K. , Neog, D. R. and Kar, M. K. Fingertip Detection for Hand Pose Recognition. Int. J. On Computer Sc. and Engg. , 4(3) (March 2012), 501-511
  7. Moeslund, T. B. , Hilton, A. and Kruger, V. A Survey of Advances in Vision-Based Human Motion Capture and Analysis. Computer Vision and Image Understanding, 104(2) (2006), 90 - 126
  8. Garg, P. , Aggarwal, N. and Sofat, S. Vision Based Hand Gesture Recognition. World Academy of Science, Engineering and Technology, 49 (2009), 972- 977
  9. Yang, Z. , Li, Y. , Chen, W. and Zheng, Y. (2012) Dynamic Hand Gesture Recognition Using Hidden Markov Models. In Proc. of 7th Int. Conf. on Comp. Sc. and Education
  10. Oka, K. , Sato, Y. and Koike, H. (2002) Real-time Tracking of Multiple Fingertips and Gesture Recognition for Augmented Desk Interface Systems. 5th IEEE Int. Conf. on Automatic Face and Gesture Recognition
  11. Wu, Y. and Huang, T. S. (1999) Vision-Based Gesture Recognition: A Review. Int. Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction. Springer Lecture Notes in Computer Science
  12. Ghosh, D. K. and Ari, S. (2011) A Static Hand Gesture Recognition Algorithm using K-Mean based Radial Basis Function Neural Network. In Proc. of 8th Int. Conf. on Information, Communications & Signal Processing
  13. Symeonidis, K. 2000. Hand Gesture Recognition Using Neural Networks. MS Thesis. University of Surrey, UK
  14. Pavlovic, V. I. , Sharma, R. and Huang, T. S. Visual Interpretation of Hand Gestures for Human - Computer Interaction: A Review. IEEE Transactions on Pattern Analysis And Machine Intelligence, 19(7) (1997), 677 – 695
  15. Hasan, M. M. and Mishra, P. K. Hand Gesture Modeling and Recognition using Geometric Features: A Review. Canadian J. on Image Processing and Computer Vision, 3(1)1 (2012)
  16. Murthy, G. R. S. and Jadon, R. S. A Review of Vision Based Hand Gestures Recognition. Int. J. of Information Technology and Knowledge Management, 2(2) (2009), 405 – 410
  17. Erol, A. , Bebis, G. , Nicolescu, M. , Boyle, R. D. , and Twombly, X. Vision Based Hand Pose Estimation: A Review. Computer Vision and Image Understanding, 108 (2007), 52– 73
  18. Wu, Y. and Huang, T. S. Hand Modeling, analysis and Recognition. IEEE Signal Processing Magazine, 18(3) (2001), 51 - 60
  19. Li, Y. 2012. Hand Gesture Recognition using KINECT. MS thesis. University of Louisville
  20. Rajesh, J. R. , Nagarjunan, D. , Arunachalam, R. M. and Aarthi, R. Distance Transform based Hand Gestures Recognition for Power point presentation Navigation. An Int. J. of Adv. Computing. 3(3) (May 2012), 41- 48
  21. Gurjal, P. and Kunnur, K. Real time Hand Gesture Recognition using SIFT. Int. J. of Electronics & Electrical Engg. 2(3) (March 2012), 19 – 33
  22. Rautaray, S. S. and Agarwal, A. Real time Hand Gesture Recognition System for Dynamic Applications. Int. J. of UbiComp, 3(1) (January 2012), 21 - 31
  23. Sultana, A. and Rajapuspha, T. Vision based Gesture Recognition for Alphabetical Hand Gestures using the SVM Classifier. Int. J. of Comp. Sc. And Engg. Tech. 3(7) (July 2012), 218 – 223
  24. Ghotkar, A. S. and Kharate, G. K. Hand Segmentation Techniques to Hand Gesture Recognition for Natural Human Computer Interaction. Int. J. of Human Computer Interaction, 3(1) (2012) 15 - 25
  25. Kristensson, P. O. , Nicholson, T. F. W. and Quigley, A. 2012. Continuous Recognition of One-handed and Two-handed Gestures using 3-D Full-body motion tracking sensors. In Proc. of IUI 12
  26. Rautaray, S. S. Real time Multiple Hand Gesture Recognition System for Human Computer Interaction. Int. J. of Intelligent Systems and Applications, 5 (May 2012), 56 - 64
  27. Kishore, P. V. V. and Kumar, P. R. Segment, Track, Extract, Recognize and Convert Sign Language Videos to Voice/ Text. Int. J. of Advance Comp. Sc. and Applications, 3(6) (2012) 35 - 47
  28. Trindade, P. , Lobo, J. and BaHrreto, J. P. 2012. Hand Gesture Recognition using Color and Depth Images Enhanced with Hand Angular Pose Data. In Proc. of IEEE Int. Conf. on Multisensor Fusion & Integration for Intelligent Systems
  29. Singh, S. , Jain, A. and Kumar, D. Recognizing and Interpreting Sign Language Gesture for Human Robot Interaction. Int. J. of Computer Applications, 52 (11) (August 2012) 24 - 30
  30. Lahamy, H. and Lichti, D. 2012. Robust Real-Time and Rotation Invariant American Sign Language Alphabet Recognition using Range Camera. In Proc. of XXII ISPRS Congress
  31. Kishore, P. V. V. and Kumar, P. R. A Model for Real Time Sign Lang Recognition System. Int. J. of Adv. Research in Comp. Sc. And Software Engg. 2 (6) (June 2012), 29 – 35
  32. Sharma, N. and Sharma, H. HIM: Hand Gesture Recognition in Mobile-learning. Int. J. of Comp. Applications, 44(16) (April 2012), 33 – 37
  33. Ghotkar, A. S. , Khatal, R. , Khupase, S. , Asati, S. and Hadap, M. 2012. Hand Gesture Recognition for Indian Sing Language. In Proc. of Int. Conf. on Computer Communication and Informatics
  34. Bui, T. T. T. , Phan, N. H. and Spitsyn, V. G. 2012. Face and Hand Gesture Recognition Algorithm Based on Wavelet transforms and Principal Component Analysis. In Proc. of 7th Int. Conf. on Strategic Technology.
  35. Kohn, B. , Belbachir, A. N. and Nowakowska, A. 2012. Real-time Gesture Recognition using bio inspired 3D Vision Sensor. In Proc. of IEEE Comp. Society Conference on Comp. Vision and Pattern Recognition Workshops
  36. Kishore, P. V. V. and Kumar, P. R. A Video Based Indian Sign Language Recognition System (INSLR) Using Wavelet Transform and Fuzzy Logic. Int. J. of Engg. and Tech. 4(5) (October 2012), 537 - 542
  37. Geetha, M. and Manjusha, U. C. A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation. Int. J. On Comp. Sc. and Engg. 4(3) (March 2012), 406 - 415
  38. Kurakin, A. , Zhang, Z. and Liu, Z. 2012. A Real Time System for Dynamic Hand Gesture Recognition with a Depth Sensor. In Proc. Of 20th European Signal Processing Conference.
  39. Khan, R. Z. and Ibraheem, N. A. Hand Gesture Recognition: A Literature Review. Int. J. of Artificial Intelligence and Applications, 3(4) (July 2012), 161-173
  40. Suarez, J. and Murphy, R. R. 2012. Hand Gesture Recognition with Depth Images: A Review. In Proc. of Int. Sym. on Robot and Human Interactive Communication
  41. Kasprzak, W. , Wilkowski, A. and Czapnik, K. Hand Gesture Recognition based on Free-Form Contours and Probabilistic Inference. Int. J. of Applied Math. and Comp. Sc. 22(2) (2012), 437- 448
  42. Jalab, H. A. , Static Hand Gesture Recognition for Human Computer Interaction. Information Technology J. 11(09) (2012), 1265 - 1271
  43. Gowtham, P. N. V. S. A Hand Gesture Recognition based Virtual Touch World. Int. J. of Information & Education Technology, 2(1) (Feb 2012), 36 – 4
  44. Shen, X. , Hua, G. , Williams, L. and Wu, Y. Dynamic Hand Gesture Recognition: An exemplar-based approach from motion divergence fields. J. of Image and Vision Computing, 30(3) (March 2012), 227 – 235
  45. Panwar, M. 2012. Hand Gesture Recognition based on Shape Parameters. In Proc. of Int. Conf. on Computing, Communication and Applications
  46. Pradhan, A. , Ghose, M. K. and Pradhan, M. Hand Gesture Recognition using Feature Extraction. Int. J. of Current Engg. And Tech. 2(4) (Dec. 2012), 323 – 327
  47. Caputo, M. , Denker, K. , Dums, B. and Umlauf, G. 2012. 3D Hand Gesture Recognition based on Sensor Fusion of Commodity Hardware. In Proc. of Mensch & Computer
  48. Dardas, N. H. and Georganas, N. D. Real-time Hand Gesture Detection and Recognition using Bag-of-Features and Support Vector Machine Techniques. IEEE Trans. on Instrumentation and Measurement, 60(11) (Nov 2011), 3592 – 3607
  49. Panwar, M. and Mehra, P. S. 2011. Hand Gesture Recognition for Human Computer Interaction. In Proc. of Int. Conf. on Image Information Processing
  50. Ren, Z. , Yuan, J and Zhang, Z. 2011. Robust Hand Gesture Recognition Based on Finger-Earth Mover's Distance with Commodity Depth Camera. In Proc. of the 19th ACM Int. Conf. on Multimedia
  51. Meena, S. 2011. A Study on Hand Gesture Recognition Technique. M. Tech. thesis. NIT, Rourkela (India)
  52. Bhuyan, M. K. , Kar, M. K. and Neog, D. R. 2011. Hand Pose Identification from Monocular Image for Sign Language Recognition. In Proc. of IEEE Int. Conf. on Signal and Image Processing Applications
  53. Kumarage, D. , Fernando, S. , Fernando, P. , Madushanka, D. and Samarasinghe, R. 2011. Real-time Sign Language Gesture Recognition Using Still-Image Comparison & Motion Recognition. In Proc. of 6th Int. Conf. on Industrial and Information Systems.
  54. Dardas, N. H. and Petriu, E. M. 2011. Hand Gesture Detection and Recognition Using Principal Component Analysis. In Proc. of IEEE Int. conf on Computational Intelligence for Measurement Systems and Applications
  55. Guo, J. 2011. Hand Gesture Recognition and Interaction with 3D stereo Camera. Project Report. Australian National University
  56. Alsheakhali, M. , Skaik, A, Aldahdouh, M. and Alhelou, M. 2011. Hand Gesture Recognition System. In Proc. of Int. Conf. on Information & Communication Systems
  57. Ayala- Ramirez, V. , Mota-Gutierrez, S. A. , Hernandez-Belmonte, U. H. andd Sanchez-Yanez, R. E. 2011. A Hand Gesture Recognition System Based on Geometric Features and Color Information for Human Computer Interaction Tasks. In Proc. of Robotics Summer Meeting
  58. Rekha, J. , Bhattacharya, J. and Majumder, S. 2011. Hand Gesture Recognition for Sign Language: A New Hybrid Approach. In Proc. of 15th International Conference on Image Processing, Computer Vision, & Pattern Recognition
  59. Rekha, J. , Bhattacharya, J. and Majumder, S. 2011. Shape, Texture and Local Movement Hand Gesture Features for Indian Sign Language Recognition. In Proc. of IEEE Int. Conf. on Trends in Information Sc. and Computing
  60. Priyal, S. P. and Bora, P. K. 2010. A study on Static Hand Gesture Recognition using Moments. In Proc. of Int. Conf. on Signal Processing and Communications
  61. Dardas, N. H. and Georganas, N. D. 2010. Hand Gesture Recognition Using Bag-of-Features and Multi-Class Support Vector Machine. In Proc. of IEEE Int. Sym. on Haptic Audio-Visual Environments and Games
  62. Elmezain, M. , Al-Hamadi, A. , Sadek, S. and Michaelis, B. 2010. Robust Method for Hand Gesture Spotting and Recognition Using Hidden Markov Model and Conditional Random Fields. In Proc. of IEEE Int. Symposium on Signal Processing and Information Tech.
  63. Yu, C. , Wang, X. , Huang, H. , Shen, J. and Wu, K. 2010. Vision-Based Hand Gesture Recognition Using Combinational Features. In Proc. of 6th Int. Conf. on Intelligent Information Hiding and Multimedia Signal Processing
  64. Ravikiran, J. , Mahesh, K. , Mahishi, S. , R. , Dheeraj, S. , Sudheender, Pujari, N. V. 2009. Finger Detection for Sign Language Recognition. In Proc. of Int. Multi Conf. of Engineers and Computer Scientists (Vol. 1)
  65. Elmezain, M. , Al-Hamadi, A. , Appenrodt, J. and Michaelis, B. 2008. A hidden Markov Model-Based Continuous Gesture Recognition System for Hand Motion Trajectory. In Proc. of 19th Int. Conf. on Pattern Recognition
  66. Paulraj, M. P. , Yaacob, S. , Desa, H. , Hema, C. R. , Ridzuan, W. M. and Majid, W. A. 2008. Extraction of Head and Hand Gesture Features for Recognition of Sign Language. In Proc. of Int. Conf. on Electronic Design
  67. Elmezain, M. , Al-Hamadi, A. , Krell, G. , El-Etriby, S. and Michaelis, B. 2007. Gesture Recognition for Alphabets from Hand Motion Trajectory using Hidden Markov Models. In Proc. of IEEE Int. Symp. on Signal Processing and Information Tech.
  68. Fang, Y. , Cheng, J. , Wang, K. and Lu, H. 2007. Hand Gesture Recognition using First Multi-scale Analysis. In Proc. of 4th Int. Conf. on Image and Graphics
  69. Binh, N. D. and Ejima, T. 2006. Real-time Hand Gesture Recognition using Pseudo 3-D Hidden Markov Model. In Proc. of 5th IEEE Int. Conf. on Cognitive Informatics
  70. Vatavu, R. D. , Pentiuc, S. , Chaillou, C. , Grisoni, L. and Degrande, S. 2006. Visual Recognition of Hand Postures for Interacting with Virtual Environment. In Proc. of Int. Conf. on Development and Application Systems
  71. Chu, C. and Cohen, I. 2005. Posture and Gesture Recognition using 3D Body Shapes Decomposition. In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition
  72. Patwardhen, K. S. and Dutta Roy, S. 2004. Dynamic Hand Gesture Recognition using Predictive Eigen Tracker. In Proc. IUPRAI-sponsored Indian Conf. on Computer Vision, Graphics and Image Processing
  73. Chen, F. , Fu, C. and Huang, C. Hand Gesture Recognition Using a Real-Time Tracking Method and Hidden Markov Models. J. of Image and Vision Computing. 21(8) (August 2003), 745 –758
  74. Wysoski, S. G. , 2003. A Rotation Invariant Static Hand Gesture Recognition System using Boundary Information and Neural Networks. ME thesis. Nagoya Institute of Technology, Japan
  75. Sanchez-Nielsen, E. , Anton-Canalís, L. and Hernandez-Tejera, M. Hand Gesture Recognition for Human-Machine Interaction. J. of WSCG, 12 (1-3) (February 2003)
  76. Bretzner, L. , Laptev, I. and Lindebergs, T. 2002. Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering. In Proc. of 5th IEEE Int. Conf. on Automatic Face and Gesture Recognition
  77. Jeong, M. H. , Kuno, Y. and Shimada, N. 2002. Two - Hand Gesture Recognition using Coupled Switching Linear Model. In Proc. of 16th IEEE Int. Conf. on Pattern Recognition (Vol. 1)
  78. Kim, J. , Park, K. , Bang, W. and Bien, Z. Z. 2002. Continuous Gesture Recognition System for Korean Sign Language based on Fuzzy Logic and Hidden Markov Model. In Proc. of IEEE Int. Conf on Fuzzy Systems
  79. Wysoski, S. G. , Lamar, M. V. , Kuroyanagi, S. and Iwata, A. 2002. A Rotation Invariant Approach on Static-Gesture Recognition using Boundary Histograms & Neural Networks. In Proc. of the 9th Int. Conf. on Neural Information Processing, (Vol. 4)
  80. MacLean, J. , Herpers, R. , Pantofaru, Wood, C. , L. , Derpanis, K. , Topalovic, D. and Tsotsos, J. 2001. Fast Hand Gesture Recognition for Real-Time Teleconferencing Applications. In Proc. of IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
  81. Yoon, H. , Soh, J. , Bae, Y. J. and Yang, H. S. Hand Gesture Recognition using Combined Features of Location, Angle and Velocity. J. of Pattern Recognition Society, 34 (2001)
  82. Jeong, M. H. , Kuno, Y. and Shimada, N. 2001. Recognition of Shape-Changing Hand Gestures Based on Switching Linear Model. 11th Int. Conf. on Image Analysis and Processing
  83. Lamar, M. V. , Bhuiyan, Md. S. and Iwata, A. 1999. Hand Gesture Recognition using Morphological Principal Component Analysis and an Improved CombNET-II. In Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics (Vol. 4)
  84. Liang, R. and Ouhyoung, M. 1998. A Real-time Continuous Gesture Recognition System for Sign Language. In Proc. 3rd IEEE Int. Conf. on Automatic Face and Gesture Recognition
  85. Min, B. , Yoon, H. , Soh, J. , Yang, Y. and Ejima, T. 1997. Hand Gesture Recognition using Hidden Markov Models. In Proc. of IEEE Int. Conf. on Systems, Man, & Cybernetics (Vol. 5)
  86. Tsukamoto, A. and Lee, C. 1995. A Methodological Approach on Real-time Gesture Recognition using Multiple Silhouette Models. In Proc. of 4th IEEE Int. Workshop on Robot and Human Communication
  87. Ishibuchi, K. , Takemura, H. and Kishino, F. 1993. Real Time Hand Gesture Recognition using 3D Prediction Model. In Proc. of Int. Conf. on Systems, Man and Cybernetics (Vol. 5)
  88. Tamersoy, B. 2009. Background Subtraction – Lecture Notes. University of Texas at Austin.
  89. Ziou, D. and Tabbone, S. 1998. Edge Detection Techniques – An Overview. Int. J. of Pattern Recognition and Image Analysis, Vol. 8, pp. 537 -559
  90. Maini, R. and Aggarwal, H. Study and Comparison of Various Image Edge Detection Techniques. Int. J. of Image Processing, 3(1)
  91. Lin, R. S. 2008. Edge Detection by Morphological Operations and Fuzzy Reasoning. In Proc. of Congress on Image and Signal Processing, May 2008, China, pp. 729 – 733
  92. Gorodnichy, D. O. and Yogeswaran, A. (2006). Detection and Tracking of Pianist Hands and Fingers. In Proc. of 3rd Canadian Conference on Computer and Robot Vision
  93. Nölker, C. and Ritter, H. , (1997). Detection of Fingertips in Human Hand Movement Sequences. In Proc. of International Gesture Workshop
  94. E. Stergiopoulou, N. Papamarkos. Hand gesture recognition using a neural network shape fitting technique. J. of Engineering Applications of Artificial Intelligence, 22(8), (2009)
Index Terms

Computer Science
Information Sciences

Keywords

Data acquisition gesture modeling feature extraction hand gesture recognition

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