Development and Testing of Intelligent Wheelchair Controller for Quadriplegic Patients (original) (raw)
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Hybrid wheelchair controller for handicapped and quadriplegic patients
2017
In this dissertation, a hybrid wheelchair controller for handicapped and quadriplegic patient is proposed. The system has two sub-controllers which are the voice controller and the head tilt controller. The system aims to help quadriplegic, handicapped, elderly and paralyzed patients to control a robotic wheelchair using voice commands and head movements instead of a traditional joystick controller. The multi-input design makes the system more flexible to adapt to the available body signals. The low-cost design is taken into consideration as it allows more patients to use this system.
Low-cost Hybrid Wheelchair Controller for Quadriplegias and Paralysis Patients
Advances in Science, Technology and Engineering Systems Journal, 2017
Wheelchair controller design is very important for handicapped users such as quadriplegia, amputee, paralyzed and elderly. The safe use, easiness, and comfort are an important factor that can directly affect the user's social efficiency and quality of life. In this paper, the design, implementation, and test of a new low-cost hybrid wheelchair controller for quadriplegics and paralysis patient have been proposed. Two sub-controllers are combined together to build the hybrid controller which are the voice controller and the head tilt controller. The voice controller consists of two voice recognition (VR) modules. The first module uses the dynamic time warping (DTW) and the second used both the hidden Markov model (HMM) and the DTW to process the user's voice and recognize the required commands. This controller has been tested with three global languages English, German, and Chinese at two different noise levels 42 and 72 dB. The voice controllers can be used for motion commands as well as for controlling other parameters like lights, light signals, sound alarm, etc. The second sub-controller is the head tilt controller. It consists of two sophisticated orientation detection modules BNO055 to detect and track the user's head and the wheelchair-robot orientation. The controller has an auto-calibrated algorithm to calibrate the user head orientation with reference wheelchair orientation to adjust the control commands and the speed of the system motors in case of ascending or descending a hill or when passing non-straight roads. The head tilt controller was tested successfully for indoor and outdoor applications.
Study on Smart Wheelchair based on Microcontroller for Physically Disabled Persons
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Intelligent Control System of a Wheelchair for People with Quadriplegia Paralysis
IIUM Engineering Journal, 2019
Our system proposes a wheelchair controlled by head gestures for people with quadriplegia paralysis (QP) or for those suffering from amputation of their hands and legs during the war in Iraq. The wheelchair design has an intelligent control that works with the movement of a patient‘s head in order to enable the patient to drive the wheelchair in the desired direction. The system consists of two main parts. The first is the transmitter in which sensing signals are transmitted to the second part and it consists of a 3-axes accelerometer (ADXL-345), a 433 MHz RF wireless receiver transmitter module, and Arduino UNO. The ADXL-345 sensor is placed in front of a hat that the patient wears. The system detects the direction of the patient's head movement then sends appropriate instructions to the wheelchair’s control part (receiving part). The receiving part is the wheelchair control system that consists of a 433 MHz RF wireless receiver transmitter module and an Arduino UNO. The Ardui...
A Microcontroller Based Multimodal Wheelchair Prototype For The Disabled
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Embedded system-based intelligent wheelchairs for disabled people
IRJET, 2022
Mobility impairment is a major problem affecting the independence of people with physical disabilities. Therefore, mobility aids need to be improved in order to improve people's living standards. This paper describes the design of smart wheelchairs using embedded systems. This paper describes the design and development of smart wheelchairs using embedded systems. The proposed design of the wheelchair can be controlled via Bluetooth, thus allowing the user to control the wheelchair with less effort. In addition to the virtual joystick control interface, touch commands are provided to the system to enhance user interaction. It helps people with disabilities to carry out their daily indoor activities independently. Experiments will be conducted to verify the functions of the developed smart wheelchair.
Embedded System Based Smart Wheelchair For Physically Challenged People
E3S Web of Conferences, 2021
The degradation of mobility is an important concern that affects the independent living ability of physically Challenged people. Therefore, mobility assistive devices require improvements to uplift the living standards of the people. This paper sets out a design of a smart wheelchair using an embedded system. This paper sets out a design and development of a smart wheelchair using an embedded system. The proposed design of the wheelchair can be controlled through bluetooth which enables the user to control the wheelchair with less effort. Touch commands are deployed to the system in addition to the virtual joystick-controlling interface to enhance the interaction with the user. This aids the disabled in carrying out daily activities independently within indoor environments. Experiments are conducted to verify the functionality of the developed smart wheelchair.
A Novel Approach to Wheelchair Design and Operation Using Multi-Function Controller
Journal of Computer Science
An electric multi-function controlled wheelchair is designed and fully tested. This wheelchair is controlled by several physiological variables namely; voice, head movement, finger bending, breathing pressure and Electrooculography (EOG). The patient has the choice to use any of these variables to control the wheelchair. The voice command is recorded by a voice recognition module with its microphone, whereas, the head and finger motion operate through the gyro accelerometer and flex sensors. A pressure sensor is used to determine the force of breathing and EOG signals are used to control the wheelchair movement. All of the inputs are processed using a microcontroller. Testing of the wheel chair using the mentioned variables is carried out successfully with accuracy between 88 to 96% for various control modules and safety consideration as a primary goal.
Embedded Wheelchair Controller
2016
Work presented in this paper is about IOT based wireless control of motorised wheelchair used by patients both for self-use as well as remote control by third party. Wheelchair is moved in different directions based on the differential voltage applied to the two wheels. Digital control techniques are superior however, it is very appropriate given the trends of utility is being made on top of android mobile phone to use a mobile phone based wireless control for such purposes. This enables the common people to use the system since there is no significance learning curve and it gives the digital stability to the system which is not dependent much on environmental variations and user interface is made much simpler.
Advances in Intelligent Systems and Computing, 2017
Hands and legs are the most important part of our mobility in day-today life. People will find difficulty in handling their daily activities if they have problems with their hands and legs (Physically challenged, accidental causes, and due to some health issues). Due to this incapability in movement causes several problems in their routine chores, and hence in order to provide a flexible mobility (stand-alone mobility to study, work, and day-today activities) in their life we came up this project "Low Cost, Reliable, Advance Control With Head Movements Wheel Chair for Physically Challenged People." In this project we are making use of Head Movements/tilts to control the Electronic Wheelchair for movements in all directions as per the need of the Physically challenged people, apart from head movements the wheelchair has certain propriety to another control signal (like Enable signal for Head control unit, Manual direction controls, emergency stop, power supply enable switch). Keywords Head movements controlled wheelchair ⋅ Low cost wheelchair using arduino UNO ⋅ Head tilts using accelerometer ⋅ 25 A current driver for high torque motors ⋅ Distance sensing based head movement control Reliable wheelchair for physically challenged people