Fabrication of Voice Controlled Wheelchair System |
Author(s): |
| Varun Kumar K S , Nagarjuna College of Engineering and Technology; Sharath K M, Nagarjuna College of Engineering and Technology; Shiva Kumar S, Nagarjuna College of Engineering and Technology; Vivek R, Nagarjuna College of Engineering and Technology; Dr. Yogeesha H C, Nagarjuna College of Engineering and Technology |
Keywords: |
| Voice Controlled Wheelchair, Physically Disabled People, quadriplegics, multiple sclerosis, Micro Controller |
Abstract |
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This project opens a new hope to the physically challenged people. Freedom of mobility is the dream for every patient especially in the case of people suffering from cases such as quadriplegics and multiple sclerosis. Although many types of mobility equipment’s are available for these types of patient there is no independent means of mobility device for these patients since they cannot drive a joystick or manual wheelchair. To aid these types of patients we are developing voice operated wheelchair. The movement of the wheelchair is controlled by the voice of the user. This wheelchair can be driven to the preferred direction with minimum effort. The user requires only less training to use this wheelchair. Technically this wheelchair is integrated with a voice recognition app to identify the voice, a microcontroller which can be programmed, other supporting hardware components to form the embedded system and worm gear motors to cause movements of the wheelchair. The proposed microcontroller-based voice operated wheelchair would bring more convenience for the disabled people. Two DC motors can be driven simultaneously, both in forward and reverse direction with the help of motor driver. Here we can control the motors to move Right, Left, Forward, Back and Stop. The goal of this system will allow certain people to live a life with less dependence on others for their movement as a daily need. Speech recognition technology is a key technology which will provide a new way of human interaction with machine or tools. Therefore, the problems that they face can be solved by using speech recognition technology for the movement of wheelchair. |
Other Details |
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Paper ID: IJSRDV9I30282 Published in: Volume : 9, Issue : 3 Publication Date: 01/06/2021 Page(s): 295-299 |
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