International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 64 - Number 19 |
Year of Publication: 2013 |
Authors: Syed Asif Ali |
10.5120/10743-5479 |
Syed Asif Ali . Sign Language Information Detection through Mobile or Telephonic Communication. International Journal of Computer Applications. 64, 19 ( February 2013), 26-28. DOI=10.5120/10743-5479
Special persons are the part of every culture all over the words. There are different types of special persons (like blind, deaf, physically disabled and mentally distorted persons). This research work only contribution for special persons who are deaf. Communication is a way by which persons can interact with other person of community in their social circle. Deaf persons as a part of any community faced lot of problems to interact with normal persons in society because they have not hearing or speaking and sometimes both i. e. as deafness. Due to the communication barrier deaf person are not able to participate any activity of society along with normal persons. During the last few years, the advantage of information and communication technologies has been progressively and impressively applied for overcome the communication barrier between deaf and normal persons. The technologies and their applications have been varied, for example computer assisted instructions, communication and sensory methods of communications etc. The main purpose of this research work is to mitigate the communication gap between deaf and normal persons by use of Information and Communication Technology (ICT). Using the proposed framework deaf persons can easily assimilate in specific workplace and can mixed with culture of normal people.