This paper is published in Volume-12, Issue-4, 2026
Area
Human Computer Interaction, Assistive Technology, Wearable Technology
Author
Khushi Mahule, Ankita Sarode, Sheetal Katwe, Aboli Surate
Org/Univ
MKSSS Cummins College of Engineering for Women, Pune, India
Pub. Date
04 September, 2026
Paper ID
V12I4-1216
Publisher
Keywords
Smart Talking Glove, ESP32, Flex Sensors, Blynk IoT App, Google Text-To-Speech API, Gesture Recognition, Communication, Assistive Technology, Artificial Intelligence, Machine Learning, Speech Synthesis, Motion Sensing, Gesture Recognition.

Citationsacebook

IEEE
Khushi Mahule, Ankita Sarode, Sheetal Katwe, Aboli Surate. Smart Talking Glove for the Speech Impaired, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Khushi Mahule, Ankita Sarode, Sheetal Katwe, Aboli Surate (2026). Smart Talking Glove for the Speech Impaired. International Journal of Advance Research, Ideas and Innovations in Technology, 12(4) www.IJARIIT.com.

MLA
Khushi Mahule, Ankita Sarode, Sheetal Katwe, Aboli Surate. "Smart Talking Glove for the Speech Impaired." International Journal of Advance Research, Ideas and Innovations in Technology 12.4 (2026). www.IJARIIT.com.

Abstract

The Smart Talking Glove for the Speech Impaired is an assistive device made to help enhance communication for people in need by providing an intensive gesture-based interface. The system captures hand movements or gestures using flex sensors fixed on the fingers of the glove and a motion sensing unit to capture hand orientation. This enables recognition of the predefined gestures or signs. These sensor signals are processed by an ESP32 microcontroller, which is the core processing and communication unit. Using ESP32’s built-in Wi-Fi, the recognized data is transmitted to the Blynk IoT platform, where it is displayed as text and at the same time converted into audible speech. Speech generation is done by integrating the Google Textto-Speech (TTS) API, allowing real time speech synthesis using the Blynk IoT application. This system emphasizes portability, comparatively low cost, and user’s comfort, making it suitable for everyday use. Experimentation results show reliable performance with high accuracy, minimal latency, and rechargeable battery with prolonged operational life. The Smart Talking Glove also offers scalability, with scope for future enhancements like multilingual support, customizable gestures, Artificial Intelligence/Machine Learning based gesture recognition, and offline operation. Beyond assistive communication, the system shows strong potential for applications in gesture controlled robotics, smart home automation, virtual reality interfaces, and industrial control, highlighting its versatility as both an accessibility solution and an innovative human machine interaction tool.