Authors :
Shwet Kamal; Nithyashree M; B Sudha
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/zr53bw72
Scribd :
https://tinyurl.com/3a4wxhss
DOI :
https://doi.org/10.5281/zenodo.14591355
Abstract :
This project presents the development of a
cost-effective assistive device aimed at bridging the
communication gap between deaf-mute individuals and
the hearing community. The device is built around
Smart Gloves embedded with flex and motion sensors,
designed to detect hand movements corresponding to
sign language gestures. These gestures are processed by
a microcontroller that interprets the signals and converts
them into voice output, allowing real-time verbal
communication. The system integrates with a server that
translates sign language into digital speech, providing an
accessible and efficient communication solution. The
prototype is capable of recognizing all 26 letters of the
English alphabet, numbers, and commonly used words,
covering a wide range of everyday communication needs.
With its affordability and ease of use, the device offers a
practical and economical solution for individuals with
speech disabilities, making it accessible across diverse
economic backgrounds. The gloves demonstrate high
accuracy in recognizing gestures, ensuring reliable
communication without requiring extensive training or
technical skills. Although the prototype shows promising
results, further testing with a more diverse set of users is
recommended to assess its real-world effectiveness and
optimize its performance. This solution has the potential
to significantly enhance the communication experience
for individuals with speech impairments.
Keywords :
Gesture; Accessibility; Communication; Sensors; Speech; IoT; Recognition.
References :
- V. Padmanabhan, M.Sornalatha, “Hand gesture recognition and voice conversion system for dumb people,” International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014 427 ISSN 2229-5518
- Shravani Jadhav, Siddhi Mhatre, Riddhi Patil, Prof. Prachi Sorte, “Smart Hand Gloves for Deaf and Dumb People”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 12 Issue III Mar 2024
- Prof. Niranjan L. Bhale, Sammed Pawar, Amit Pawar, Prajwal Niphade, Kamlesh Nagare, “Smart Gloves for Dumb and Deaf People”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) ISSN (Online) 2581-9429 Volume 3, Issue 7, May 2023
- Sakshi Wankhade, Vishal Wadekar, Ajinath Algude, Nagarjun Jadhav, Dr. Priya Gokhale, “SMART HAND GLOVES FOR DEAF AND DUMB”, International Research Journal of Modernization in Engineering Technology and Science e-ISSN: 2582-5208 Volume:05/Issue:05/May-2023 Impact Factor- 7.868
- Shastri School For Deaf and Dumb Children, 2nd Cross Rd, Shankar Nagar, Mahalakshmi Layout, Bengaluru, Karnataka-560096
This project presents the development of a
cost-effective assistive device aimed at bridging the
communication gap between deaf-mute individuals and
the hearing community. The device is built around
Smart Gloves embedded with flex and motion sensors,
designed to detect hand movements corresponding to
sign language gestures. These gestures are processed by
a microcontroller that interprets the signals and converts
them into voice output, allowing real-time verbal
communication. The system integrates with a server that
translates sign language into digital speech, providing an
accessible and efficient communication solution. The
prototype is capable of recognizing all 26 letters of the
English alphabet, numbers, and commonly used words,
covering a wide range of everyday communication needs.
With its affordability and ease of use, the device offers a
practical and economical solution for individuals with
speech disabilities, making it accessible across diverse
economic backgrounds. The gloves demonstrate high
accuracy in recognizing gestures, ensuring reliable
communication without requiring extensive training or
technical skills. Although the prototype shows promising
results, further testing with a more diverse set of users is
recommended to assess its real-world effectiveness and
optimize its performance. This solution has the potential
to significantly enhance the communication experience
for individuals with speech impairments.
Keywords :
Gesture; Accessibility; Communication; Sensors; Speech; IoT; Recognition.