Glove Gesture Sensor-Based Motion for Deaf and Mute People Equip with Global Positioning System (GPS)

  • Authors

    • Nik Nur Zuliyana Binti Mohd Rajdi
    • Ahmad Mujahid Ubaidillah Bin Zakaria
    • Mohamed Harris Bin Abdul Ghani
    • . .
    https://doi.org/10.14419/ijet.v8i1.12.28842
  • deaf-mute, sign language, glove-based sensor, Global Positioning System (GPS), Arduino UNO.

  • The numbers of peoples with deaf-mute disability around the worlds is exponentially increased in numbers nowadays. One of the common limitation faced by deaf-mute people is to communicate with the society. Nowadays, the medium communication that used by them is ‘sign language’. However, sign language is very hard to understand and required proper training to master it. With the development of hand-gesture recognition system, a large-scale of multi device or system has been designed and developed rapidly nowadays. Direct use of the hand as input device is an attractive and easy method to develop. Besides, hand-gesture can provide a complementary modality speech for expressing one idea and communicate each other’s. In this project, we propose to produce a low-cost glove-gesture based motion that can convert the hand gesture into the speech that everyone can understand. In addition, Global Positioning System (GPS) tracking will be embedded into the glove for the deaf-mute person safety and monitoring. . This project will use two main components, which are Arduino UNO and Gesture-Sensor. The circuit will be design to detect the motion from the gloves-based sensor as an input and converted into the sound or voices as an output.

     

     

     

  • References

    1. [1] Thomas, David James, Not a hearing loss, a deaf gain: Power, self-naming, and the Deaf community ProQuest Dissertations and Theses (2013) pp:33-43.

      [2] Ata-Ur-Rehman, A.U.R., Afghani, S., Akmal, M. and Yousaf, R.,†Microcontroller and sensors based gesture vocalizerâ€. In Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation, World Scientific and Engineering Academy and Society (WSEAS) 2008, February. (pp. 82-87).

      [3] Gaurav Pandit1, Nitin Parandwal2, Sandip More3, Rupali Deshmukh4, “Hand Gesture Recognition for Devnagari Sign Language" International Journal of Engineering Science and Computing (IJESC2017), 2008, pp.11237-11238

      [4] Ata-Ur-Rehman, A.U.R., Afghani, S Akmal, M. and Yousaf, “Microcontroller And Sensors Based Gesture Vocalizer†,7th WSEAS International Conference 2008 (pp. 82-87),.

      [5] Praveenkumar S Havalagi, Shruthi Urf Nivedita," The Amazing Digital Gloves That Give Voice To The Voiceless" International Journal of Advances in Engineering & Technology, Vol. 6 Issue 1(2013), pp. 471-480.

      [6] Chin-Shyurng Fahn and Herman Sun, “Finger Tips Glove Equiment Magnetic Traking Sensorâ€, Sensors, Vol 10 No.2 (2010), pp.1119-1140

      [7] Ambika Gujrati , Kartigya , Singh Khushboo,Lovika, Ambikapath , “Convert Gesture into Speechâ€, Engineering Science Invention,org, Volume 2 Issue 4 (2013),PP.43-46

      [8] Peter Corke, Tim Wark, Raja Jurdak, Wen Hu, Philip Valencia , Darren Moore “Environment Wireless Sensor Networkâ€, Proceedings of the IEEE, Volume: 98 , Issue: 11 , Nov. 2010, pp 1903 - 1917 https://doi.org/10.1109/JPROC.2010.2068530 .

      [9] Kanika Rastogi, Pankaj Bhardwaj, “A Review Paper on Smart Glove- Converts Gestures into Speech and Textâ€, International Journal on Recent and Innovation Trends in Computing and Communication, Volume: 4 Issue: 5 (2016) pp 92-94.

      [10] Chin-Shyurng Fahn and Herman Sun, “Development of a Fingertip Glove Equipped with Magnetic Tracking Sensorsâ€,Sensors Vol 10 Issue 2 2010, pp 1119-1140.

      [11] Chetankumar. K. Labhade et al, " Android Based Map Location Tracking System without using Internet" International Journal of Advanced Research in Computer Science, Volume 7, No. 1 (2016), January-February 2016, pp 37-39

  • Downloads

  • How to Cite

    Nur Zuliyana Binti Mohd Rajdi, N., Mujahid Ubaidillah Bin Zakaria, A., Harris Bin Abdul Ghani, M., & ., . (2019). Glove Gesture Sensor-Based Motion for Deaf and Mute People Equip with Global Positioning System (GPS). International Journal of Engineering & Technology, 8(1.12), 42-46. https://doi.org/10.14419/ijet.v8i1.12.28842