Finger Gesture Detection and Application Using Hue Saturation Value

Full Text (PDF, 933KB), PP.31-38

Views: 0 Downloads: 0


Joy Mazumder 1,* Laila Naznin Nahar 2 Md. Moin Uddin Atique 2

1. Department of Electrical & Electronic Engineering, University of Dhaka, Dhaka, Zip 1000, Bangladesh

2. Department of Biomedical Physics and Technology, University of Dhaka, Dhaka, Zip 1000, Bangladesh

* Corresponding author.


Received: 24 Mar. 2018 / Revised: 20 Apr. 2018 / Accepted: 11 May 2018 / Published: 8 Aug. 2018

Index Terms

Finger gesture identification, two color glove, angle detection, ratio detection


In this paper, we developed a mathematical model for finger gesture identification using two colored glove. The glove is designed in such a manner that wristband and middle finger of the glove are marked by blue color and other fingers are marked by red color. HSV values of those colors are implicated in order to identify red and blue colors. After detecting colors, two processes are employed for identification of fingers. One of them is the angle created at the wristband center between the middle finger and any other fingers. Other is examining the ratio between the wristband-middle finger distance and the projection of the wristband and other fingers distance on wrist-middle finger joining line. For both processes, the middle finger must present in order to identify the fingers. After identification of fingers gesture using both methods, an application of finger detection is presented here by changing a PowerPoint slide. This mathematical model was tested on several conditions and got the accuracy of more than 82%.

Cite This Paper

Joy Mazumder, Laila Naznin Nahar, Md. Moin Uddin Atique, " Finger Gesture Detection and Application Using Hue Saturation Value ", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.10, No.8, pp. 31-38, 2018. DOI: 10.5815/ijigsp.2018.08.04


[1]A. Chaudhary, J.L. Raheja, K. Das, S. Raheja, "Fingers' Angle Calculation using Level-Set Method", Published in Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, IGI USA, pp.191-202, 2014.

[2]E.S. Nielsen, L.A. Canalís, and M.H. Tejera, “Hand Gesture Recognition for Human-Machine Interaction”, Journal of WSCG, vol.12, pp.1-3, 2004.

[3]V. Nayakwadi, N.B. Pokale, “Natural Hand Gestures Recognition System for Intelligent HCI: A Survey”, International Journal of Computer Applications Technology and Research, ISSN: 2319–8656, vol.3, Issue-1, pp.10 – 19, 2013.

[4]J. Thampi, M. Nuhas, M. Rafi, A. Shaheed, “Vision based hand gesture recognition: medical and military applications”, Advances in Parallel Distributed Computing Communications in Computer and Information Science, vol. 203, pp 270-281, 2011.

[5]S. Sharma, M.R. Manchanda, “Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA”, I.J. Image, Graphics and Signal Processing, vol-2, pp.37-45, 2017.

[6]D. Stotts, J. Smith, M.K. Gyllstrom, “Facespace: Endoand Exo-Spatial Hypermedia in the Transparent Video Facetop”, In: Proc. of the Fifteenth ACM Conf. on Hypertext & Hypermedia. ACM Press, pp:48–57, 2004.

[7]W. Freeman, K. Tanaka, J. Ohta, & K. Kyuma, “Computer Vision for Computer Games”, Tech. Rep. and International Conference on Automatic Face and Gesture Recognition, 1996.

[8]S. Bilal, R. Akmeliawati, M. J. El Salami, A. A. Shafie, “Vision-Based Hand Posture Detection and Recognition for sign Language - A study”, IEEE 4th international conference on Mechatronics, ICOM, pp. 1-6, 2011.

[9]Human Computer Interaction Using Hand Gestures, Premaratne, p., 158 illus., 86 illus., Hardcover, pp.174, 2014.

[10]D. Yang, L.W. Jin, J. Yin, and Others, “An Effective Robust Fingertip Detection Method for Finger Writing Character Recognition System”, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, China, pp.4191–4196, 2005.

[11]J.M. Kim, and W.K. Lee, “Hand Shape Recognition using Fingertips”, In the Proceedings of Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Jinan, Shandong, China, pp.44-48, 2008.

[12]A. Sanghi, H. Arora, K. Gupta, Vats, V.B., “A Fingertip Detection and Tracking System as a Virtual Mouse, a Signature Input Device and an Application Selector”, Seventh International Conference on Devices, Circuits and Systems, Cancun, Mexico, pp.1–4, 2008.

[13]K. Oka, Y. Sato, and H. Koike, “Real Time Fingertip Tracking and Gesture Recognition”, Computer Graphics and Applications, IEEE, vol. 22(6), pp.64–71, Dec, 2002.

[14]H. Ying, J. Song, X. Renand and W. Wang, “Fingertip Detection and Tracking Using 2D and 3D Information”, Proceedings of the Seventh World Congress on Intelligent Control and Automation, Chongqing, China, pp.1149–1152, 2008.

[15]J.L. Crowley, F. Berardand and J. Coutaz,, “Finger Tacking as an Input Device for Augmented Reality”, Proceedings of International Workshop on Automatic Face and Gesture Recognition, Zurich, Switzerland, pp.195–200, 1995.

[16]F.K.H Quek, T. Mysliwiec, and M. Zhao, “Finger Mouse: A Free Hand Pointing Computer Interface”, Proceedings of International Workshop on Automatic Face and Gesture Recognition, Zurich, Switzerland, pp.372–377, 1995.

[17]M. Dharani, K.T. Anjan and K.S.  Kandarpa, “A Colored Finger Tip-Based Tracking Method for Continuous Hand Gesture Recognition”, International Journal of Electronics Signals and Systems (IJESS), ISSN: 2231- 5969, vol-3, Iss-1, pp.71-75, 2013.

[18]Y. Robert, Wang, J. Popovi´c, “Real-Time Hand-Tracking with a Color Glove”. ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH, vol.28, Issue-3, Article No. 63, 2009.

[19]Monuri Hemantha et al, “Simulation of Real Time Hand Gesture Recognition for physically impaired”, International journal of Advanced Research in computer and communication Engineering vol. 2, issue 11, November, 2013

[20]Anand G Buddhikot, Nitin. M. Kulkarni, Arvind.D. Shaligram," Hand Gesture Interface based on Skin Detection Technique for Automotive Infotainment System", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.10, No.2, pp. 10-24, 2018.DOI: 10.5815/ijigsp.2018.02.02


[22]Rafael C. Gonzalez & Richard E. Woods, Digital image processing, 3rd edition, Pearson, Education, pp.156