Gesture Language Translator using Morse Code

Manish Goswami*, Alfiya Hussain**, Shruti Kothakonda***, Radha Dubey****, Lobhika Vargantwar*****, Mohak Khanorkar******, Aman Prasad*******
*-******* Department of Computer Science and Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, India.
Periodicity:October - December'2024

Abstract

Gesture Language Translator using Morse Code is an innovative assistive technology designed to address the communication challenges faced by people with auditory or speech impairments. These individuals struggle with expressing themselves verbally or understanding spoken language, leading to social isolation and frustration. communication aids frequently lack the real-time responsiveness and intuitive interaction necessary for effective communication. This study aims to bridge this gap by leveraging a sensor-embedded glove that translates user gestures into Morse code, a universally recognized system. The translated Morse code is then converted into both auditory and visual feedback, enabling users to communicate seamlessly and in real time. The development of this device involves the integration of various hardware and software components to create a cohesive and functional prototype. Key hardware elements include sensors embedded in a glove, microcontrollers for processing signals, and output modules for delivering auditory and visual feedback. On the software side, this system entails designing robust. This study not only aims to develop a practical communication tool but also seeks to promote inclusivity and accessibility in communication. By enabling individuals with auditory or speech impairments to express themselves effectively, the Gesture Language Translator fosters participation in social interactions and activities. The iterative design process, involving user feedback and rigorous testing, ensures the device meets the specific needs of its users. Additionally, exploring the potential of incorporating Hindi Sign Language into the system could significantly enhance its accessibility for individuals who primarily communicate in Hindi. While this may require additional research and development, it presents an opportunity to bridge language barriers and promote inclusivity on a larger scale.

Keywords

Gesture Language Translator, Morse Code, Innovative Assistive Technology, Sensor-Embedded Glove, Social Interactions, Effective Communication.

How to Cite this Article?

Goswami, M., Hussain, A., Kothakonda, S., Dubey, R., Vargantwar, L., Khanorkar, M., and Prasad, A. (2024). Gesture Language Translator using Morse Code. i-manager’s Journal on Computer Science, 12(3), 59-65.

References

[4]. Jadhav, K., Gangdhar, S., & Ghanekar, V. (2021). Speech to ISL (Indian sign language) translator. International Research Journal of Engineering and Technology (IRJET), 8(04), 3696-3698.
[10]. Verma, M. P., Shimi, S. L., & Chatterji, S. (2014). Design of smart gloves. International Journal of Engineering Research & Technology (IJERT), 3 (1), 210-214.
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