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Voice Controlled Wheel Chair

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Vineet Kamat

on 29 October 2013

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Transcript of Voice Controlled Wheel Chair

Voice Operated Wheel Chair for Physically Handicapped People
Motor Section
Block Diagram
Voice Recognition Module
Easy VR module
Schematics & Features:
32 user-defined Speaker Dependent (SD) triggers.
Can be used with any host with an UART interface.
3 GPIO lines

According to census 2001, over 21 million people in India suffered from some kind of disability which accounted to 2.1% of population.

Disability in movement ranked second with 27.9% of total disabled people

• The earliest records of wheelchair was found in China dating back to 6th century.
• The most commercially successful chair is the lightweight folding chair, which American engineer Herbert Everest designed in the 1930s.
• With automation, a wheelchair using a joystick was developed.

Presented By:
Group 7:
Topics of Discussion:
Guided by: Prof. Swati Rane
(Assistant Professor EXTC)
Comparison with Previous Work
Circuit Consists of:
Darlington pair transistor
Motor Rotation Direction for motion of wheel chair:
Forward: Both the motors in forward direction
Reverse: Both the motors in reverse direction
Left: Left motor stopped/Right motor in forward direction
Right: Right motor stopped/Left motor in forward direction
Stop: Both motors stop rotation

Motor Driver Circuit
Operating voltage: 12V
Operating Current: 7A
Maximum Weight: 50kg
We have come halfway through the project and have a distinct idea about the various components required to be utilized and their specifications.
Presently we have given the order for the Easy VR Voice Recognition module and are awaiting a reply about its availability. The other options are Easy VR Shield module.

Easy to control the appliance.
Cost effective when manufactured on a large scale.
Voice module contains inbuilt speaker independent commands
Supports user-defined, user-specific commands.
Supports multiple languages.
Reduces the workload of patient.
Eliminates the need of an extra person to push the wheelchair.
Voice interference can lead to undesired operation.
Is susceptible to background noise.
System may not respond if there isn't clarity of speech i.e. there is a mismatch in the pitch or tone
The voice operated wheelchair will be very helpful to the physically handicapped people as it will help them to move from one place to another without exerting any physical force.

The wheelchair can be handled by the patients themselves without having to depend on another person to push it for them every time.

The project mainly finds application in hospitals and old age health care centres.

[1] Government of India, Ministry of Home Affairs (2010-11) “Disabled Population” Available: http://censusindia.gov.in/Census_And_You/disabled_population.aspx
[2] Joseph Flaherty (24 May 2012). "Putting the ‘Whee!’ Back in ‘Wheelchair" Wired. Retrieved 25 May 2012.
[3] VeeaR (Rev. 2013) “EasyVR” Available: http://www.veear.eu/products/easyvr/
[4] Tigal, “VeeaR-EasyVR Multi-language speech recognition module with serial interface”, EasyVR-datasheet.
[5] Atmel Corporation (Rev. 2010), “AVR Microcontroller”, Atmega16-datasheet.
[6] Atmel Corporation, “Working with AVR Studio”, AVR software.

History of the project
Comparison with previous work
Block Diagram
Voice Recognition Module
Motor Section
Obstacle Detector
Current Status of the Project
Advantages & Disadvantages
Speech Recognition System

Speaker-Dependent Systems and Speaker-Independent Systems

Isolated word recognition and continuous speech recognition systems

Traditional wheelchairs require manual pushing and don’t have ability to detect obstacles.
Voice operated wheelchairs are an alternative to walking sticks and manual wheelchairs as it reduces manual effort.
It responds to verbal commands of user and acts accordingly.
The development of speech recognition technology began in the 1950’s with successful attempts to have a computer understand spoken word numbers.
Running the statistical models needed for speech recognition requires the computer’s processor to do a lot of heavy work.
This results in slowing down the response time significantly.

Obstacle Sensor:
Ultrasonic Sensor
Ideal for detection of uneven surfaces
Circuit consists of:
Features and Comparison
Features of Atmega 16

o 16KB of Flash memory
o 1KB of SRAM
o Available in 40-Pin DIP
o 8-Channel 10-bit ADC
o Two 8-bit Timers/Counters
o One 16-bit Timer/Counter
o Serial USART
o SPI Interface
o Digital to Analog Comparator.

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