| Issue |
E3S Web Conf.
Volume 692, 2026
3rd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2025)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 14 | |
| Section | Electronic and Electrical Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202669202007 | |
| Published online | 04 February 2026 | |
Arduino Based Voice Conversion System for Dumb Persons Using Touch Sensors
1 G.Pullaiah College of Engineering and Technology, Kurnool, India.
2 Hyderabad Institute of Technology and Management (HITAM), Hyderabad, Telangana, India.
3 Vignans Institute of Engineering for Women, Visakhapatnam, Andhra Pradesh, India.
4 Sreyas Institute of Engineering and Technology, Nagole, Hyderabad-500068, Telangana, India.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Everyone talks to each other by using sounds to get their point across. But this isn’t good for people who are deaf or dumb. There are several ways for them to get their views over to average people, such as using hand gestures, facial expressions, and body language. Also, people commonly utilize sign language to talk to each other. Each word has a specific action that shows how it is used. Gestures don’t work very well because most individuals don’t know how to use them. So, it makes sense to set up a system that makes it easier for dump people to share information. Sign language can be turned into speech with the help of infrared and touch-based sensors. This method for recognizing gestures uses infrared and touch sensors. The Arduino gets input from the infrared and touch sensors based on their resistance and then makes a voice output. This system reacts faster and makes communication more efficient. One of the key goals of gesture recognition research is to make a system that can recognize human gestures and send data to control devices. Processors utilize hand and body motions to talk to one other. We can understand how people move and utilize gestures to control machines or software by using this strategy.
© The Authors, published by EDP Sciences, 2026
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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