Development of an Electronic Glove with Voice Output for Finger Posture Recognition

Authors

  • F. Wong Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • P. Y. Lim Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • E. H. Loh Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • R. R. Porle Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • R. Chin Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • K. Teo Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • K. A. Mohamad Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia

Keywords:

Malaysian Sign Language, electronic glove, talking glove, finger posture, microcontroller

Abstract

This project is to develop an electronic glove which can translate hand posture in Malaysian Sign Language into spoken words. The glove is built to help deaf, blind and non-vocal persons to communicate with normal people like us. Furthermore, this project can be divided into 4 main parts. First is the sensing part which consists of flex sensor and accelerometer, they are sewn on the electronic glove to detect the motion of finger. Second, the 555 timer circuit is used to convert the analog voltage to frequency. Then, part three consists of microcontroller, it is used to analyze the input signal, as a frequency counter and as a controller. Finally, the result would be output as spoken words via a small speaker. Some simulation and lab testing of the flex sensor have been carried out. The flex sensor is reliable to detect finger posture.

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Published

2020-10-30

How to Cite

Wong, F. ., Lim, P. Y. ., Loh, . E. H. ., Porle, . R. R. ., Chin, . R. ., Teo, K. ., & Mohamad , K. A. . (2020). Development of an Electronic Glove with Voice Output for Finger Posture Recognition. Journal of Advanced Research in Applied Mechanics, 10(1), 36–46. Retrieved from https://akademiabaru.com/submit/index.php/aram/article/view/1728
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