The Fingertip Detection and Character Recognition Technique by using Leap Motion Controller in Air

  • Prateek Sharma
Keywords: Leap Motion , Natural Human Computer Interaction

Abstract

Leap Motion Controller is a 3D Gesture Recognition tool which track the movement of hand and objects in its scenario . The controller provides position of object in 3D space in the form of informative data . It consist of led bulb and uses infrared radiation to track the objects . Leap Motion Controller can track twenty frames per seconds. This paper starts with brief review of various character recognition techniques which includes the methods of recognising character in human understandable language . Artificial intelligence techniques plays a major role in determining the character it includes various methods which are helpful in recognition of character such as HMM, Supervised Learning , Clustering , etc. Further, in this paper we are supposed to use coordinated path ordering Techniques to recognise character using Leap Motion

References

[1] Chiang Wang, Chung-Yen Su, Chun-Lin Lin “ A Novel Recognition System for digits Writing in the Air using Coordinated Path Ordering “ Artificial Intelligence , Robotics and Human -Computer Interaction , Okinawa, Japan, IEEE 2015
[2] Chaowanan Khundam , “ First Person Movement Control with Palm Normal and Hand Gesture Interaction in Virtual Reality “ 12th International Joint Conference on Computer Science and Software Engineering (JCSSE), IEEE 2015
[3] Mingyu Chen , Ghassan AlRegib , and Biing - Hwang Juang “ Air- Writing Recognition - Part II : Detection and Recognition of Writing Activity in Continuous Stream of Motion Data “ IEEE Transactions of Human Machine Systems 2015
[4] Nimish Ayachi, Piyush Kejriwal, Lalit Khane, Pritee Khanna “ Analysis for Hand Motion Trajectories for Recognition of Air - Drawn Symbols “ Fifth International Conference on Communication Systems and Network Technologies , IEEE 2015
[5] Kunpeng Li, Xin Zhang “ A New Fingertip Detection and Tracking Algorithm and Its Application on Writing - in - the- air System “ 7th International Congress on Image and Signal Processing IEEE 2014
[6] Sharad Vikram, Lei Li , Stuart Russell “ Handwriting and Gestures in the Air , Recognizing on the Fly “ Extended Abstracts Paris , France, ACM 2013
[7] Leigh Ellen Potter , Jake Araullo, Lewis Carter “ The Leap Motion controller : A view on sign language “ 25th Australian Computer - Human Interaction Conference . ACM 2013
[8] Hassiba Nemmour, Youcef Chibani “ Artificial Immune System for Handwritten Arabic Word Recognition “ IEEE 2013
[9] Sofia Pescarin, Eva Pietroni , Leonardo Rescic, Karim Omar , Mattias Wallergard , C. Rufa “ NICH : a preliminary theoretical study on Natural Interaction applied to Cultural Heritage contexts “ IEEE 2013
[10] C.Amma , M. Georgi, Tanja Schultz “ Airwriting: Hands - free Mobile Text Input by Spotting and Continuous Recognition of 3d - Space Handwriting with Inertial Sensors” , 16th International Symposium on wearable Computers , IEEE 2012
[11] San Ni Yun , Lan Xiang Zhong “ Experimental Research on Handwritten Character Written in the Air Recognition Based on Computer Vision “ in 4th International Congress on Image and Signal Processing , IEEE 2011
[12] Toshio Asano and Sachio Honda “ Visual Interface System by Character Handwriting Gesture in the Air “ 19th IEEE International : Symposium on Robot and Human Interactive Communication , IEEE 2010
[13] Jong K. Oh , Sung- Jung Cho, Won - Chul Bang, Wook Chang, E. Choi, Jing Yang, Joonkee cho, Dong Yoon Kim “ Inertial Sensor Based Recognition of 3D Character Gesture with an Ensemble of classifiers “
Published
2018-04-15
How to Cite
Sharma, P. (2018, April 15). The Fingertip Detection and Character Recognition Technique by using Leap Motion Controller in Air. ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, 4(I). https://doi.org/https://doi.org/10.33130/asian%20journals.v4iI.406
Section
Electronics and Telecommunication