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IJSTR >> Volume 10 - Issue 5, May 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Hand Gesture Recognition: A Review

[Full Text]

 

AUTHOR(S)

Sundus Munir, Shiza Mushtaq, Afrozah Nadeem, SyedaBinish Zahra

 

KEYWORDS

q and hidden Markov models, Depth Map, RGB color scheme, Kinect camera, leap

 

ABSTRACT

The objectiveof this paper is to introduce and identify the techniques and methods of hand gesturerecognition throughhuman computer interaction. Human-computer interaction is very essentialcomponent of most people's daily life. We have discussed some Human Computer Interaction (HCI) techniques and methods which will recognize the human hand gesture recognitionthrough different methodologies. The goal of gesture recognitionresearch is to establish a system which can classify specific human gestures and can make its use to convey information or for device control. These methods have different input types and different classifiers and techniques to identify hand gesture. This paper includes hand gesture recognition, human computer interaction systems, apps and comparative study of techniques and methods used in these systems. Applications for hand detection segmentation technique, RGB color scheme, web cam, real time tracking method q and The Markovhidden models, Depth Map methods and models are used in different researches.In this paper we have discussed maximum seven methods from the previous researches. We will analyze the best methodology of hand gesture recognition along with the pros and cons of each article.

 

REFERENCES

[1] Z. Zafrulla, H. Brashear, T. Starner, H. Hamilton, and P. Presti,͆ American sign language recognition with the kinect,” in Proceedings of the 13th international conference on multimodal interfaces. ACM, 2011, pp. 279–286.
[2] J. Choi, H. Park, and J.-I. Park, “Hand shape recognition using distance transform and shape decomposition,” in Image Processing (ICIP), 2011 18th IEEE International Conference on. IEEE, 2011, pp. 3605–3608
[3] Granit Luzhnica, Elizabeth Lex, Viktoria Pammer. A Sliding Window Approach to Natural Hand Gesture Recognition using a Custom Data Glove. In: 3D User Interfaces (3DUI); 2016IEEE Symposium on ; 2016 Mar 19 ; New York : IEEE; 2016 ; p.81-90.
[4] Ji-Hwan Kim,Nguyen Duc Thang,Tae-Seong Kim. 3-D hand Motion Tracking and Gesture Recognition Using a Data Glove. In; Industrial Electronics; 2009 IEEE International Symposium on ; 2009 July 5; New York : IEEE;2009 ; p.1013-1018.
[5] Dulayatrakul J, Prasertsakul P, Kondo T, Nilkhamhang I. Robust implementation of hand gesture recognition for remote human-machine interaction. In: Information Technology and Electrical Engineering (ICITEE); 2015 7th International Conference on ;2015 Oct 29;p. 247252.
[6] Z. Ren, J. Yuan, J. Meng, and Z. Zhang, “Robust part-based hand gesture recognition using kinect sensor,” IEEE Trans. Multimedia, vol. 15, no. 5, pp. 1110–1120, 2013.
[7] Itseez, Open Source Computer Vision Library - itseez2015opencv, 2015, accessed at https://github.com/itseez/opencv on 01/2/2017.
[8] Itseez, The OpenCV Reference Manual - itseez2014theopencv 2.4.9.0, April 2014, accessed at http://opencv.org/ on 01/2/107.
[9] Python Software Foundation (PSF), PyAutoGUI package, PyAutoGUI 0.9.36 accessed at https://pypi.python.org/pypi/PyAutoGUI on 21/4/2017.
[10] Al Sweigart, PyAutoGUI Documentation, Release 1.0.0, accessed at https://media.readthedocs.org/pdf/pyautogui/late st/pyautog ui.pdf on 21/4/2017.
[11] Stéfan van der Walt, S. Chris Colbert and GaëlVaroquaux. The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science & Engineering 13, 22-30 (2011) DOI:10.1109/MCSE.2011.37.
[12] NumPy Developers, numpy 1.13.0rc2, accessed at https://pypi.python.org/pypi/numpy on 01/2/107.
[13] Chen WL, Wu CH, Lin CH. Depth-based hand gesture recognition using hand movements and defects. In: Next-Generation Electronics (ISNE); 2015 International Symposium on; 2015 May 4 ; Taiwan, Taipei ;New York : IEEE;2015 ;p. 1-4.
[14] Ahmed Ben Jmaa, Walid Mahdi, Yousra Ben Jemaa, Abdelmajid Ben Hamadou. A New Approach For Hand Gestures Recognition Based on Depth Map Captured by RGB-D Camera.
[15] Ohn-Bar, E. & Manubhai Trivedi, M. (2014). Hand gesture recognition in real time for automotive interfaces: A multimodal vision-based approach and evaluations. IEEE Transactions on Intelligent Transportation Systems, Vol. 15, pp. 2368–2377.
[16] Berard, F., Coutaz, J., & Crowley, J. L. (1995). Finger tracking as input device for augmented reality. Proc. Intel Workshop on Automatic Face and Gesture-Recognition, Zurich, Switzerland.
[17] AashniHariaa, ArchanasriSubramaniana, NivedhithaAsokkumara, ShristiPoddara , Jyothi S Nayaka. Hand Gesture Recognition for Human Computer Interaction
[18] Granit Luzhnica, Elizabeth Lex, Viktoria Pammer. A Sliding Window Approach to Natural Hand Gesture Recognition using a Custom Data Glove. In: 3D User Interfaces (3DUI); 2016 IEEE Symposium on; 2016 Mar 19; New York: IEEE; 2016
[19] C. Wang, Z. Liu and S. C. Chan. Superpixel-Based Hand Gesture Recognition with Kinect Depth Camera. IEEE Transactions on Multimedia 2015
[20] Ishiyama H, Kurabayashi S. Monochrome glove: A robust real-time hand gesture recognition method by using a fabric glove with design of structured markers. In: Virtual Reality (VR); 2016 IEEE ;2016 Mar 19; Greenville, SC; New York: IEEE;2016
[21] OndrejKainz, FrantišekJakab. Approach to Hand Tracking and Gesture Recognition Based on Depth-Sensing Cameras and EMG Monitoring
[22] Hand Gesture Recognition Library Jonathan Fidelis Paul, Dibyabiva Seth, Cijo Paul, Jayati Ghosh Dastidar, St. Xavier’s College, Kolkata, India, St. Xavier’s College, Kolkata, India, St. Xavier’s College, Kolkata, India, St. Xavier’s College, Kolkata, India
[23] Bretzner. L, Laptev. I, Lindeberg. T, Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition
[24] D. Shridhar, A. Badreldin, High-Accuracy character recognition algorithm using fourier and topology descriptors, Pattern Recognition 17 (1984) 515–524.
[25] K. Madhuri, L. Praveen Kumar, “Cursor Movements Controlled By Real Time Hand Gestures”, International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064.
[26] Mark Bayazit, Alex Couture-Beil, and Greg Mori, ‘Real-time motion based gesture recognition using the gpu’, in IAPR Conference on Machine Vision Applications (MVA), (2009).
[27] AthiyaMarium*, Deepthi Rao, Divina Riya Crasta, Kavya Acharya, Rio D’Souza,Hand Gesture Recognition using Webcam
[28] Chunying QUAN, Jianning LIANG,A Simple and Effective Method for Hand Gesture Recognition.
[29] Z. Zafrulla, H. Brashear, T. Starner, H. Hamilton, and P. Presti,͆ American sign language recognition with the kinect,” in Proceedings of the 13th international conference on multimodal interfaces. ACM, 2011, pp. 279–286.
[30] J. Choi, H. Park, and J.-I. Park, “Hand shape recognition using distance transform and shape decomposition,” in Image Processing (ICIP), 2011 18th IEEE International Conference on. IEEE, 2011, pp. 3605–3608.
[31] Z. Mo and U. Neumann, “Real-time hand pose recognition using low resolution depth images.” in CVPR (2), 2006, pp. 1499–1505.
[32] Canny, J. (1986). A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 8, pp. 679–698.
[33] Ghosh, S. & Chaudhury, K. N. (2016). On fast bilateral filtering using fourier kernels. IEEE Signal Processing Letters, Vol. 23, pp. 570–573.
[34] Granit Luzhnica, Elizabeth Lex, Viktoria Pammer. A Sliding Window Approach to Natural Hand Gesture Recognition using a Custom Data Glove. In: 3D User Interfaces (3DUI); 2016 IEEE Symposium on ; 2016 Mar 19 ; New York : IEEE; 2016 ; p.81-90.
[35] Lee DH, Hong KS. A Hand gesture recognition system based on difference image entropy. In: Advanced Information Management and Service (IMS), 2010 6th International Conference on; 2010 Nov 30; Seoul; New York: IEEE; 2010 ; p. 410-413.
[36] Otsu, Nobuyuki. A threshold selection method from gray-level histograms. IEEE transactions on systems, man, and cybernetics 1979; 9(1): 62-66.
[37]Bretzner. L, Laptev. I, Lindeberg. T, Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, Pages 423-428, 2002.
[38] Ann Abraham Babu, Satishkumar Varma, Rupali Nikhare, “Hand Gesture Recognition System for Human Computer Interaction Using Contour Analysis”, International Journal of Research in Engineering and Technology, eISSN: 2319-1163, pISSN: 2321-7308
[39] Ming-Hsuan Yang, Ahuja, N. ; Tabb, Extraction of 2D motion trajectories and its application to hand gesture recognition, Pattern Analysis and Machine Intelligence, IEEE Transactions on (Volume:24 , Issue: 8), Page(s):1061 - 1074, 2002.
[40] Pei Xu∗ Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities,A Real-time Hand Gesture Recognition and Human-Computer Interaction System
[41] S. Thakur, R. Mehra and B. Prakash, Vision based computer mouse control using hand gestures. Soft Computing Techniques and Implementations (ICSCTI), 2015 International Conference on. IEEE, 2015: 85-89.
[42] A. A. Argyros and M. I. A. Lourakis, Vision-based interpretation of hand gestures for remote control of a computer mouse. European Conference on Computer Vision. Springer Berlin Heidelberg, 2006: 4051.
[43] D. Kuli and E. A. Croft, Safe planning for humanrobot interaction. Journal of Field Robotics, 2005, 22(7): 383-396.
[44] S. H. Grif and C. C. Farcas, Mouse Cursor Control System Based on Hand Gesture. Procedia Technology, 2016, 22: 657-661.
[45] ThittapornGanokratanaa,SureePumrin,Hand Gesture Recognition Algorithm for Smart Cities based on Wireless Sensor.
[46] Ankit Chaudhary and Jagdish L. Raheja, "A Health Monitoring System for Elder and Sick Persons," presented at the International Journal of Computer Theory and Engineering, Vol. 5, No. 3, June 2013, 2013.
[47]Ankit Chaudhary and Jagdish L. Raheja, "A Health Monitoring System for Elder and Sick
Persons," presented at the International Journal of Computer Theory and Engineering, Vol. 5,No. 3, June 2013, 2013.
[48] C.-C. Hsieh and D.-H. Liou, "NovelHaar features for real-time hand gesture recognition
using SVM," Journal of Real-Time Image Processing, vol. 10, pp. 357-370, 2015.
[49] C. Shan, T. Tan, and Y. Wei, "Real-time hand tracking using a mean shift embedded particle filter," Pattern recognition, vol. 40, pp. 1958-1970, 2007.
[50] C. Acharya, H. Thimbleby, and P. Oladimeji, "Human computer interaction and medical devices," in Proceedings of the 24th BCS Interaction Specialist Group Conference, 2010, pp. 168-176.
[51] L.W. Campbell, D.A. Becker, A. Azarbayejani, A.F. Bobick, A. Plentland, Invariant features for 3-D gesture recognition, Proceedings IEEE Second International Workshop on Automatic Face and Gesture Recognition, 1996
[52] J. Schlenzig, E. Hunter, R. Jain, Recursive identification of gesture inputers using hidden Markov models, Proceedings Second Annual Conference On Applications. Of Computer Vision (1994) 187–194.
[53] V.I. Pavlovic, R. Sharma, T.S. Huang, Visual interpretation of hand gestures for human-computer interaction, A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (7) (1997) 677–695.
[54] T. Baudel, M. Baudouin-Lafon, Charade: remote control of objects using free-hand gestures, Comm. ACM 36 (7) (1993) 28–35
[55] D.J. Sturman, D. Zeltzer, A survey of glove-based input, IEEE Computer Graphics and Applications 14 (1994) 30–39.