| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01148 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101148 | |
| Published online | 05 June 2023 | |
Hand Gesture Recognition and Conversion to Speech for Speech Impaired
1 UG Student, Department of CSBS, GRIET, Hyderabad, Telangana, India
2 Associate Professor, Department of CSE, GRIET, Hyderabad, Telangana, India
* Corresponding author: annapoorna1675@grietcollege.com
The primary method of interaction between individuals is communication. In the case of speech-impaired people, the communication between them and normal people is not understandable by the latter as the former communicates through gestures and sign language. In the case of speech-impaired. Today, the Internet of Things (IoT) can be used for gesture recognition and to convert gestures into audible speech. In this project, a prototype is created such that the gesture or the sign language that is communicated is recognized by the flex sensors connected to the fingertips of a plain glove. The ESP32 microcontroller recognizes the gesture and converts it into the text format and this text format is updated onto the Google Firebase and is converted to speech form thus producing the text onto the OLED display sensor and the converted speech for communication in the mobile application Kodular Companion.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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