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Mamatha, M. N.
- Voice Operated Wheelchair for the Disabled
Authors
1 Department of Instrumentation, BMS College of Engineering, Bangalore, IN
2 R.V. College, Bangalore, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 2 (2013), Pagination: 75-80Abstract
Assistive devices are available which allow persons with severe physical disabilities or aged to complete tasks independently. When the user has severe physical limitations, it may be advantageous to have an integrated control system where a single control interface such as joystick, voice recognition system, keypad etc,. are used to operate two or more assistive devices. These include wheelchairs, augmentative communication devices, computers and other devices that are controlled electronically. The advantages of integrated control is that these persons with limited motor control abilities can access several devices without assistance, and the user may or may not need to learn a different operating mechanism to activate these devices.
In this paper, the concept of robotic wheel chair activation using voice recognition system has been implemented. These wheelchairs provide unique mobility for the disabled and elderly with motor impairments.The voice Recognition Kit and the motor which drives the wheelchair is linked with each other wirelessly. The voice recognition Kit is programmed to identify nearly 20 different voice commands for controlling actions of the wheelchair.
This proposed voice operated wheelchair is dedicated to patients with tetraplegia, muscular dystrophy and congenital gait abnormalities. The design is consuming less power and is low weight.
Keywords
Motorized Wheelchair, Voice Recognition System, Wireless Control, Tetraplegics.
- Design of Bio Signal Sensors and Signal Conditioning Circuits
Authors
1 Vinayaka Mission University, Salem, IN
2 S.J.B Institute of Technology, Bangalore, IN
3 Government College of Engineering, Salem, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 4 (2012), Pagination: 185-193Abstract
Many physiological disorders such as Amyotrophic Lateral Sclerosis (ALS) or injuries such as high-level spinal cord injury can disrupt the communication path between the brain and the body. People with severe motor disabilities may lose all voluntary muscle control. The disabled people with the above mentioned problems are forced to accept a reduced quality of life which may result in dependence on caretakers. To deal with these problems, sophisticated design of equipments for data acquisition and signal processing of bio potentials are required. An interface which communicates between a man and machine can solve this problem to a great extent. The proposed research presents an advanced man-machine interface by designing sensors that acquire EEG, EOG and EMG signals from brain, eyes and muscles respectively.This paper describes a design and development of a method that acquires eyeball and eye blink signals .Then the acquired signals are used in controlling assistive/interfaced devices to help subjects who are partially paralyzed patients. Thus the application lies in the fact that the model developed is not limited to the degree of paralysis which has occurred. The design developed is checked for its validity and is found to be 90% accurate. The experimentation was done on partially paralyzed subjects as their eyeball movement and the eye blink were found to be normal. These eye movements and brainwave signal acquisition of data can be used to control a number of interactive devices such as a robot, a GUI or the movement of wheel chair.