Sign Language Interpreter
DOI:
https://doi.org/10.14419/ijet.v7i3.12.17619Keywords:
ASL, atmega, Bluetooth, component, deaf, dumb, interpreter, LCD, motion detection, sign, wearable.Abstract
The world’s population now stands at 7.6 billion. Out of these, millions of people are not blessed with the ability to hear or/and speak. Although speech becomes a barrier between these people and other abled persons but, there are three types of sign languages which help to decrease this gap. There are about 250 types of sign language interpreters which translate their language for other people. This paper describes a similar type of device aimed to facilitate a bridge between the two groups of population. It develops a wearable device having motion detecting sensors to sense the orientation and direction of fingers in order to recognize the gesture made by the user. Also, it transmits the gesture to a wireless display unit through a Bluetooth module which displays the corresponding word to the gesture made on an LCD. Thus, in this way, sign-to-text conversion is carried out. The heart of the device is Atmega328 with flash memory of 32k bytes enabling us to store a wide range of words. The designed system was capable to recognize the pre-stored gestures according to ASL (American Sign Language). Prototype was designed for one hand and it was tested on a few gestures.
Â
Â
References
[1] Mindess, Anna. Reading between the signs: Intercultural communication for sign language interpreters. Nicholas Brealey Publishing, 2014.
[2] Anusha, L. and Devi, Y.U., 2016, October. Implementation of gesture based voice and language translator for dumb people. In Communication and Electronics Systems (ICCES), International Conference on (pp. 1-4). IEEE.
[3] Banzi, Massimo, and Michael Shiloh. Getting started with Arduino: the open source electronics prototyping platform. Maker Media, Inc., 2014.
[4] Schmidt, Maik. Arduino: a quick-start guide. Pragmatic Bookshelf, 2015. Schmidt, Maik. Arduino: a quick-start guide. Pragmatic Bookshelf, 2015.
[5] Chen, Shuai, et al. "A study on reliability of chip scale packages in shock environments." Electronic Packaging Technology (ICEPT), 2013 14th International Conference on. IEEE, 2013.
[6] Al-Dahan, Ziad Tarik, Nasseer K. Bachache, and Lina Nasseer Bachache. "Design and Implementation of Fall Detection System Using MPU6050 Arduino." International Conference on Smart Homes and Health Telematics. Springer, Cham, 2016.
[7] Asim, M. Ibbtisam, et al. "TIME OPTIMAL SPACECRAFT ATTITUDE CONTROL WITH CONSIDERATIONS OF FAILURES IN AOCS AND PAYLOAD COMPONENTS."
[8] KUMAR, G.V., SAI, Y.P., KUMAR, V.N. and PRATHIBHA, A., HAND GESTURE RECOGNITION USING ACCELEROMETER FOR DISABLED.
[9] Pahuja, Ritika, and Narender Kumar. "Android Mobile Phone Controlled Bluetooth Robot Using 8051 Microcontroller." International Journal of Scientific Engineering and Research2.7 (2014): 14-17.
[10] Patoliya, Jignesh, Haard Mehta, and Hitesh Patel. "Arduino controlled war field spy robot using night vision wireless camera and Android application." Engineering (NUiCONE), 2015 5th Nirma University International Conference on. IEEE, 2015.
[11] Chawla, Akhilesh, et al. "Bluetooth based weather station." International Journal of Engineering Trends and Technology (IJETT) 28 (2015): 2.
[12] Bhuta, Pratiksha, Karan Desai, and Archita Keni. "Alcohol Detection and Vehicle Controlling." International Journal of Engineering Trends and Applications (IJETA) 2.2 (2015): 92-97.
[13] Shruthi, K., Harsha Chawla, and Abhishek Bhaduri. "Smart notice board." (2013): 2-24.
Downloads
How to Cite
Received date: August 16, 2018
Accepted date: August 16, 2018
Published date: July 20, 2018