Android based Portable Hand Sign Recognition System

These days mobile devices like phones or tablets are very common among people of all age. They are connected with network and provide seamless communications through internet or cellular services. These devices can be a big help for the people who are not able to communicate properly and even in emergency conditions. A disabled person who is not able to speak or a person who speak a different language, these devices can be a boon for them as understanding, translating and speaking systems for these people. This chapter discusses a portable android based hand sign recognition system which can be used by disabled people. This chapter shows a part of on-going project. Computer Vision based techniques were used for image analysis and PCA was used after image tokenizer for recognition. This method was tested with webcam results to make system more robust.

[1]  Ankit Chaudhary,et al.  ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons , 2011, ArXiv.

[2]  Ankit Chaudhary,et al.  Finger-Stylus for Non Touch-Enable Systems , 2014, ArXiv.

[3]  Shobhit Maheshwari,et al.  Hand gesture pointing location detection , 2014 .

[4]  Ankit Chaudhary,et al.  Fingers' Angle Calculation using Level-Set Method , 2014, ArXiv.

[5]  Vladimir Pavlovic,et al.  Hand Gesture Modeling, Analysis, and Synthesis , 1995 .

[6]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[7]  Thomas B. Moeslund,et al.  Real-time recognition of hand alphabet gestures using principal component analysis , 1997 .

[8]  Ashis Kumar Mishra,et al.  Hand Gesture Recognition using Computer Vision , 2013 .

[9]  Ankit Chaudhary,et al.  Automated switching system for skin pixel segmentation in varied lighting , 2012, 2012 19th International Conference on Mechatronics and Machine Vision in Practice (M2VIP).

[10]  J. Bhattacharya,et al.  Hand Gesture Recognition for Sign Language : A New Hybrid Approach , 2011 .

[11]  고성제,et al.  인터액티브 가상 환경을 위한 손 제스처 인식 시스템 ( A Hand Gesture Recognition System for Interactive Virtual Environment ) , 1999 .

[12]  Ankit Chaudhary,et al.  A Vision based Real Time System to Control Remote Robotic Hand Fingers , 2011 .

[13]  Ankit Chaudhary,et al.  A Vision-Based Method to Find Fingertips in a Closed Hand , 2012, J. Inf. Process. Syst..

[14]  David Zeltzer,et al.  A survey of glove-based input , 1994, IEEE Computer Graphics and Applications.

[15]  Ankit Chaudhary,et al.  GUI system for elders/patients in intensive care , 2014, 2014 IEEE International Technology Management Conference.

[16]  Muhammad Sarfraz Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies , 2014 .

[17]  Tomaso A. Poggio,et al.  On Edge Detection , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Ellen C. Hildreth,et al.  Edge Detection , 1985, Encyclopedia of Database Systems.

[19]  Ankit Chaudhary,et al.  A Survey on Hand Gesture Recognition in Context of Soft Computing , 2011 .