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.
Description
[1503.03614] Android based Portable Hand Sign Recognition System
%0 Journal Article
%1 raheja2015android
%A Raheja, Jagdish L.
%A Singhal, A.
%A Chaudhary, A.
%D 2015
%I arXiv
%K android disabled-people edge-detection mobile-application portable-gesture-recognition-systems real sign-recogntion
%T Android based Portable Hand Sign Recognition System
%U http://arxiv.org/abs/1503.03614
%X 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.
@article{raheja2015android,
abstract = {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.},
added-at = {2019-11-14T07:49:10.000+0100},
author = {Raheja, Jagdish L. and Singhal, A. and Chaudhary, A.},
biburl = {https://www.bibsonomy.org/bibtex/205792df631d05d61822a7c4ffde030e7/jpmor},
day = 12,
description = {[1503.03614] Android based Portable Hand Sign Recognition System},
interhash = {0487bf144e60507ded6efc163f4c87d1},
intrahash = {05792df631d05d61822a7c4ffde030e7},
keywords = {android disabled-people edge-detection mobile-application portable-gesture-recognition-systems real sign-recogntion},
language = {English},
month = {03},
note = {cite arxiv:1503.03614},
publisher = {arXiv},
school = {Cornell University},
timestamp = {2020-10-07T13:36:50.000+0200},
title = {Android based Portable Hand Sign Recognition System},
url = {http://arxiv.org/abs/1503.03614},
year = 2015
}