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GESTURE AIDED SPEECH
Transcript of GESTURE AIDED SPEECH
OVERVIEW OF THE PROJECT
We are developing a Translation system that could facilitate communication between speech impaired people and other people in public situations.
This system utilizes a single video camera for data acquisition to ensure user- friendliness.
Since sign languages make use of manual and facial means of expression, both channels are employed for recognition.
NEED OF THE PROJECT
DOMAIN - IMAGE PROCESSING
PROJECT GUIDE : Ms. DIPTI JADHAV
Communication between speech and/or hearing impaired person and a person who doesn’t understand sign language ,thereby avoiding the need of an intermediate interpreter.
Sign to speech conversion
SCOPE OF THE PROJECT
Real Time translation
Eliminates the need for an interpreter for
communication between a mute/deaf and
a normal person.
Computer and video games
Real time video translation along with facial expression recognition.
Sign language (ASL and BSL)
Knowledge on flex sensors
Knowledge on c++ and arduino
Micro controller programming
Fels and G Hinton (1993), Glove-Talk: A Neural Network Interface Between a Data-Glove and a Speech Synthesiser, IEEE Transactions on Neural Networks, 4, 1, pp. 2-8
The International Journal of Engineering And Science (IJES) HAND SIGN INTERPRETER 1,Ajinkya Raut, 2,Vineeta Singh, 3,Vikrant Rajput, 4,Ruchika Mahale
SPECIFICATION AND PROPERTIES
- Angle Displacement Measurement
- Bends and Flexes physically with motion device
-Height: 0.43mm (0.017")
-Temperature Range: -35°C to +80°C
-Flat Resistance: 10K Ohms -Resistance Tolerance: ±30%
-Bend Resistance Range: 60K to 110K Ohms
-Power Rating : 0.50 Watts continuous. 1 Watt
-3axis sensing Small,
-low profile package 4 mm × 4 mm × 1.45 mm-
-LFCSP Low power : 350 μA (typical) Single -supply
-operation: 1.8 V to 3.6 V 10,000 g shock survival
- Excellent temperature stability BW adjustment with a
single capacitor per axis RoHS/WEEE lead-free compliant
Arduino is a single-board microcontroller, intended to make the application of interactive objects or environments more accessible.
The hardware consists of an open-source hardware board designed around an 8-bit Atmel AVR microcontroller, or a 32-bit Atmel ARM.
Current models feature a USB interface, 6 analog input pins, as well as 14 digital I/O pins which allows the user to attach various extension boards.
Input Voltage (recommended) 7-12V
Input Voltage (limits) 6-20V
DC Current per I/O Pin 40 mA
DC Current for 3.3V Pin 50 mA