Sign Language Glove ---------- Prepared By: Aya Dwikat Weam Obaid.

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Presentation transcript:

Sign Language Glove ---------- Prepared By: Aya Dwikat Weam Obaid

Outline Introduction Motivation Objectives Standards & Equipment Methodology Results & Analysis Conclusion & Future Work

Introduction An electrical glove which could be worn by a deaf-mute person. The glove will help the deaf-mute person translate his/her sign language into text and audio which could be visualized and heard by people without a disability.

Introduction The project with a sound recognition feature to help deaf-mute people visualize noise levels on the mobile application.

Motivation Miscommunication between people with and without disability. Awareness of the surrounding environment

Objectives Help deaf-mute people integrate into society. Warn deaf-mute people in the case of a very loud noise that could be an indication of something dangerous.

Standards & Equipment Tools and Applications: Arduino 1.0.5 Android Studio Equipment

Equipment LilyPad Arduino Main Board Bluetooth HC-06 Accelerometer ADX335 Flex Sensor 4.5 LCD 16x2

The LilyPad Arduino is designed LilyPad Arduino Main Board The LilyPad Arduino is designed for e-textiles and wearables projects. It can be sewn to fabric and similarly mounted power supplies and sensors with conductive thread.

LilyPad technical specs

FTDI is used to program the Lilypad arduino FT232R-FTDI FTDI is used to program the Lilypad arduino

Bluetooth HC-06 Bluetooth is used to receive messages and commands from the arduino and relay it to the mobile, and vice versa.

Accelerometer ADX335 Accelerometer is used to sense simple orientation, it measures the acceleration and gives three readings for the x, y, and z axis

Flex Sensor 4.5 The flex sensor changes its resistance when flexed so we can measure that change using one of the Arduino’s analog pins.

We used a 16x2 LCD to display the letters sent by the arduino LCD 16x2  We used a 16x2 LCD to display the letters sent by the arduino

Methodology

Sensors Inputs Calibration take sensors readings of the two flex sensors and the accelerometer for five seconds, and track the highest and lowest values it gets.

Voice System Calm Low Noise Loud Noise A Bell or a V. Loud Noise

Conclusion A project to enable deaf-mute people communicate well with others. Translate eight letters: A, B, C, F, G, L, Q, and X into text and audio. Voice detecting system.

Future Work Include more letters, words, and different languages. Add the speaker and voice system to the glove. Make a more appealing glove.

Thank You 