1Dept. of Electronics and Communication Engineering, School of Engineering, Vels Institute of Science Technology & Advanced Studies (VISTAS), Chennai, India
*Corresponding Author: jaya.se@velsuniv.ac.in, Tel.: +91 9941156806
Online published on 6 September, 2019.
Nowadays deaf and dumb people have difficulty to face interchanging information with others who are not able to know the sign language. To overcome these difficulties, the proposed technique is Hand Talk Assistive Technology. It consists of a Glove is a normal cloth lashing glove fixed with flex sensors along the length of the every finger and thumb. The output of sensor is a group of data that varies with the degree of thumb bending. The output is in analog form is transformed to digital value and these digital data’s are processed by the microcontroller. Then these datas are sending through wireless RF communication. In the receiver side the data’s will be collected and processed to respond in the voice by using loudspeaker. Dumb people interfacing are difficult and it is a extremely challenging issue, however this happen to its cardinal social interest, and it is inherently more difficult. The project work based on an approach has been offered, which works properly for standing letters of Spanish Sign Language. This approach consumes very less time thus that a real-time appreciation also easily achieved. In addition, it can easily achieve 100% of recognition ratio by this approach and the system will provide some feed-back message to signing person.
Cardinal social interest, gesture recognition, Sign Language, flex sensors, recognition ratio