Smart Glove For Mute People Using Raspberry pi

Published Dec 12, 2020
 15 hours to build
 Beginner

Design and Development of the Smart Glove for Mute people.It converts the hand gestures to the speech through the speaker.

display image

Components Used

RASPBERRY PI 3 A Plus
RASPBERRY PI 3 A+RASPBERRY PI 3 A+
1
ADXL337 3-Axis Accelerometer
ADXL337 is a low-power 3-axis accelerometer with signal conditioned outputs.
1
Flex Sensor
Flex Sensor
1
Speaker
Speakers & Transducers 28 mm, Round Frame, 0.25 W, 32 Ohm, Neodymium Magnet, PET Cone, Speaker
1
26MHz Crystal
Crystals 26MHz 13pF -20C 70C
1
5VDC Adapters Power Supply
Wall Mount AC Adapters ac-dc, 5 Vdc, 2 A, SW, wall-plug, EU, P5 center pos, level VI, black
1
LCD16x2 Display
LCD16x2 Display
1
Description

Raspberry Pi: 

The Raspberry Pi is a low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. It is a capable little device that enables people of all ages to explore computing, and to learn how to program in languages like Scratch and  Python.    

Accelerometer 

An accelerometer is a basic technology that converts  mechanical motion into an electrical signal. It is an electromechanical device  that measures acceleration force, whether caused by gravity or motion.                                                                    

Working

✓Step 1: The system makes use of a hand motion reading system equipped with motion and flex sensors along with a speaker unit. 

✓ Step 2: This system is powered by battery-powered circuitry to run it. A raspberry pi is used for processing the data and operating the system.  

✓Step 3: The system consists of around 10 stored messages like need help, where is the toilet/washroom and so on that help, mute people convey basic messages.  

✓Step 4: The system reads a person's hand motions for different variations of hand movement.  

✓Step 5: It also consists of a trigger sensor in order to indicate that the person wishes to activate the system and speak something.  

✓Step 6: This ensures the system does not speak when the person is just involuntarily making hand motions.  

✓Step 7: The raspberry pi processor constantly receives input sensor values and then processes them.  

✓Step 8: Now it searches for matching messages for the set of sensor values.    

✓Step 9: Once it is found in memory this message is retrieved and is spoken out using text to speech processing through the interfaced speaker.  

✓Step 10: Thus we have a fully functional smart speaking system to help mute people communicate with regular people using a simple wearable system.

Codes

Downloads

Smart Glove Download

Institute / Organization

PSNA COLLEGE OF ENGINEERING AND TECHNOLOGY
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