Gesture Based Assistance System for Aphasia Patient
|International Journal of Electronics and Communication Engineering|
|© 2018 by SSRG - IJECE Journal|
|Volume 5 Issue 7|
|Year of Publication : 2018|
|Authors : R.Jayasree, M.Aiswarya, R.Deepa and G.Dhanalakshmi|
How to Cite?
R.Jayasree, M.Aiswarya, R.Deepa and G.Dhanalakshmi, "Gesture Based Assistance System for Aphasia Patient," SSRG International Journal of Electronics and Communication Engineering, vol. 5, no. 7, pp. 28-33, 2018. Crossref, https://doi.org/10.14445/23488549/IJECE-V5I7P106
Normal Human being is able to see and interact with the surroundings. Every individual are not blessed with this criteria. Minority of the people tend to lose their vocal cord in an accident. Such type of patient is known as ‘Aphasia Patient’. The communication mannerism of aphasia patient doesn’t coincide with the normal people. This project is to provide support for aphasia people by recognising their gestures and converting into its corresponding audio language. India is been developing in to the digitalized technology, so the difficulty can be overcome by the newly systems. The learning of the gestures postures differs from each individual, which may also lead to a wrong understanding of the conversation. This difficulty has to be overcome, in order to make the patient to live in a betterment life. The mute language is changed into the speech by the digital signal recognition method. The glove includes 4 flex sensors that gain the pressure produced in the fingers, GSM module to transfer the message for a particular cellular, IR sensor to control the objects in the room, LCD to show off the signs as the text message and a speaker that increases the amplitude of the gesture language. Initially, Flux sensor working is performed and result is identified. The performance of the sensor is up to 85% .The working of flux sensor could be improved.
Aphasia patient; digitalised world; data glove; GSM system; IR sensor
 SakshiGoyal, Ishita Sharma, Shanu Sharma “Sign language Recognition system for deaf and dumb people”, International Journal of Engineering Research &Technology (IJERT), 2013.
 Suharjit , Ricky Anderson, Fanny Wiryana, Meita Chandra Ariesta, Gede Putra Kusuma “Sign Language Recognition Application Systems for Deaf-mute People,2017,https://www.sciencedirect.com/science/article/pii/S187750917320720.
 Sunitha K. A, AnithaSaraswathi.P, Aarthi.M, Jayapriya. K, Lingam Sunny, “Deaf Mute Communication Interpreter- A Review”, International Journal of Applied Engineering Research ,Volume 11, pp 290-296 , 2016.
 Mathavan Suresh Anand, Nagarajan Mohan Kumar, AngappanKumaresan, “ An Efficient Framework for Indian SignLanguage Recognition Using Wavelet Transform” Circuits and Systems, Volume 7, pp1874- 1883,2016.
 MandeepKaurAhuja, Amardeep Singh, “Hand Gesture Recognition Using PCA”, International Journal of Computer Science Engineering and Technology (IJCSET ), Volume 5, Issue 7, pp. 267-27, July2015.
 SagarP.More, Prof. Abdul Sattar, “Hand gesture recognition system for dumbpeople”,
 International Journal of Science and Research (IJSR)
 ChandandeepKaur, Nivit Gill, “An Automated System for Indian Sign Language Recognition”, International Journal of Advanced Research in Computer Science and SoftwareEngineering.
 PratibhaPandey, Vinay Jain, “Hand Gesture Recognition for Sign Language Recognition: A Review”, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 3, March 2015 .
 NakulNagpal,Dr. ArunMitra.,Dr.PankajAgrawal, “Design Issue and Proposed Implementation of Communication Aid for Deaf & Dumb People”, International Journal on Recent and Innovation Trends in Computing and Communication ,Volume: 3 Issue: 5,pp- 147 –149.
 Neelam K. Gilorkar, Manisha M. Ingle, “Real Time Detection And Recognition Of Indian And American Sign Language Using Sift”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 5, Issue 5, pp. 11-18 , May2014
 Neelam K. Gilorkar, Manisha M. Ingle, “A Review on Feature Extraction for Indian and American Sign Language”, International Journal of Computer Science and Information Technologies, Volume 5 (1) ,pp- 314-318,2014.
 AshishSethi, Hemanth ,KuldeepKumar,BhaskaraRao ,Krishnan R, “Sign Pro-An Application Suite for Deaf and Dumb”, IJCSET , Volume 2, Issue 5, pp-1203-1206, May2012.
 J. Lim, D. Lee, & B. Kim, “Recognizing Hand Gesture using Wrist Shapes”, 2010 Digest of Technical Papers of the International Conference on Consumer Electronics (ICCE), Las Vegas, 2010, pp 197-198
C.R. Srinivasan, S. Sen, A. Kumar, C. Saibabu, “Measurement of Flow Using Bend Sensor”, 2014International Conference on Advances in Energy Conversion Technologies (ICAECT), 2014, pp 27-30