Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Hand Gesture Recognition Based on Raspberry Pi Pico With 3 Flux Sensors and Voice Output

Author : Anitha Rathnam 1 Kalash Patil 2 B Prajwal Kumar 3 Hrithik TJ 4 Ganesh Prasad. 5

Date of Publication :30th June 2023

Abstract: Some people are born without the capacity to talk, while others lose it due to an accident. They have difficulty expressing themselves or communicating their message to others. In this project, we offer a Sign Language Glove that will allow persons who have any type of speech impediment communicate using gestures, i.e. the user will perform alphabet movements using single handed sign language. The glove will capture all of the user's motions and subsequently transform them into visual and audible form. All operations in this project are managed by a Raspberry Pi Pico controller, and flex sensors and other sensors will track the movement of both the fingers and the entire palm. The user's gesture will be displayed on an LCD, and the motion will be converted into an audio signal by a speaker. This project may be expanded to recognize complicated objects such as food, water, doctor and so on. Technology has always been of considerable assistance to the disabled, allowing them to live a regular and healthy life alongside others. Hand talk is a revolutionary proposal for a glove that converts hand gestures into text and allows the deaf to communicate themselves more effectively. The Hand talk glove must be worn on the deaf or mute person's hand, and depending on the variance in movement, the technology will intelligently transform it into speech, allowing the other person to readily understand. The flex sensor pads on the Hand talk glove use different motion patterns as well as the way the finger folds to detect movement. The device is capable of detecting every resistance and hand movement. Only a few words can now be converted by the device, but if it is successful, this expressive system may subsequently include a few more words.

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