SIGN LANGUAGE INTERPRETER SYSTEM USING PIC MICROCONTROLLER

Abstract

Communication between individuals with hearing impairments and those who use spoken language remains a significant challenge. This project proposes a system that translates sign language gestures into speech using a PIC microcontroller. The system utilizes various sensors, such as flex sensors and accelerometers, attached to a glove worn by the user. These sensors capture the hand movements and gestures, which are then processed by the PIC microcontroller to recognize specific signs. The microcontroller interprets the signals and maps them to corresponding pre-recorded speech outputs using a voice module. This translation allows the conversion of sign language gestures into audible speech, facilitating real-time communication between sign language users and those who do not understand sign language. The use of a PIC microcontroller enables efficient processing and low power consumption, making the system portable and cost-effective. The proposed system can be used in various applications, such as education and everyday communication, promoting greater inclusivity for the hearing-impaired community.

Specification

The Sign Language Interpreter System focuses on developing a system that translates sign language gestures into speech using a PIC microcontroller. The system consists o f a glove or sensor array equipped with flex sensors and/or accelerometers to detect hand movements.
These sensors capture the gestures and send data to the PIC microcontroller, which processes the input using its built-in ADC (Analog to Digital Converter). The microcontroller matches the sensor data to predefined gesture patterns. Once a gesture is recognized, the microcontroller triggers a speech synthesis module to produce the corresponding speech output, which is then played through a speaker. This system offers a low-cost, portable solution for translating sign language into spoken words, making communication more accessible between sign language users and non-users.
BACKGROUND ART
The background art for the Sign Language Interpreter System represents the system's core functionality in a simplified and visually informative way. The central focus is a hand wearing a sensor glove equipped with flex sensors, which capture hand gestures. A connected pathway flows from the hand toward a PIC microcontroller, symbolizing the conversion o f these gestures into digital signals. From there, the pathway leads to a speaker, indicating the output o f corresponding speech. The design uses geometric shapes and sound wave icons to depict communication and technology. A calming color palette o f cool blues, greens, and soft grays represents modern technology while providing a clean, professional look suitable for technical documentation. The visual layout is intended to give viewers an intuitive understanding o f the system's process, from gesture detection to speech output, supporting the explanation and technical details in the documentation.


NOVEL SYSTEM AND METHOD
19-Nov-2024/138229/202441089575/Form 2(Title Page)
The proposed system offers a novel solution for real-time sign language translation, designed to enhance communication accessibility for sign language users. The system integrates a PIC microcontroller, flex sensors, LM324 op-amp, HC-05 Bluetooth module, and an LCD display into a compact and efficient setup. The PIC microcontroller serves as the central processing unit, orchestrating the interpretation o f hand gestures captured b yth e flex sensors. The LM324 op-amp amplifies the signals from the sensors, ensuring accurate gesture recognition.
The system then translates these gestures into corresponding text, which is displayed on the LCD screen in real time. Additionally, the HC-05 Bluetooth module enables wireless transmission o f the translated data to paired devices, where it can be further processed into audio output, allowing for greater flexibility in communication.


The methodology behind the system involves capturing data from the flex sensors, which detect variations in finger movements corresponding to different sign language gestures.
These gestures are then processed by the PIC microcontroller, which matches each gesture to its corresponding sign language character or word. The translated text is displayed instantly on the LCD screen, providing visual feedback. Meanwhile, the Bluetooth module transmits this information wirelessly to connected devices, enabling audio output through text-to- speech systems. This novel system enables real-time translation, offering an intuitive and accessible solution for bridging communication between sign language users and the hearing community, with its adaptable design making it suitable for a wide range o f applications.



4. C L A IM S :
We claim,
1. Recognizes sign language gestures and translates them into speech output in real time for seamless communication. 2. Achieves high accuracy in gesture interpretation using advanced sensor technology and signal processing, reducing error rates for complex gestures. 3. Offers versatile output options, including text display and Bluetooth-enabled audio output, to meet diverse communication needs. 4. Low power consumption, ensuring prolonged usage without frequent recharging. 5. Cost-effective alternative to traditional interpreter services or other assistive technologies, enhancing accessibility

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