Voice Monitored Wheel Chair Control

This paper presents the voice operated wheel chair for handicapped person which is controlled with the voice command from handicapped person. This chair is battery powered wheel chair with DC motors. Voice command input is taken from android mobile and converted into the text and this text is given to Microcontroller via Bluetooth module to control the operation of DC motors. Also an IR detection system is used to detect the obstacle in the path of wheel chair and to avoid the collision of wheel chair. This chair makes handicapped person independent for movement purpose.

Wheel chairs are the way of re-incarnating life in the lives of physically disabled people. The number of people, who wants to move around with the help of some artificial means, whether through illness or an accident, is continuously increasing. It becomes difficult for a normal person to drive the wheel chair in domestic environment and hence it becomes still more difficult for a person with hand and leg impairments. The main aim of this paper is assist paralyzed (quadriplegic and paraplegic) people and physically challenged people. The prototype developed consists of user dependent voice recognition system and accelerometer interfaced, which is being further extended for real time implementation. Intended users control the chair by wearing a glove fitted with accelerometer for controlling the movement and direction of the wheelchair. The wheel chair is also assisted with a Voice recognition kit, with the help of which the user can guide the wheelchair through voice commands. Ultrasonic sensors are used for real-time obstacle detection

Voice Controlled Wheel chair is a mobile wheel chair whose motions can be controlled by the user by giving specific voice commands. The speech recognition software running on a PC is capable of identifying the 5 voice commands ‘Run’, ‘Stop’, ‘Left’, ’Right’ and ‘Back’ issued by a particular User. This system controls the wheel chair as well as read the parameters of patient.

The wide spread prevalence of lost limbs and sensing system is of major concern in present day due to wars, accident, age and health problems. This Omni-directional wheelchair was designed for the less able elderly to move more flexibly in narrow spaces, such as elevators or small aisle. The wheelchair is developed to help disabled patients by using speech recognition system to control the movement of wheelchair in different directions by using voice commands and also the simple movement of the patient's fingers with keypad control. From previous literature surveys it was observed that the moments of wheels of wheelchair is difficult in diagonals direction, in this proposed system achievement of wheelchair movement in all direction is obtained by using multi-directional Omni-wheels which makes the diagonal moments comparatively flexible.

IJCSMC, 2017

The main objective of VOICE CONTROLLED WHEEL CHAIR SYSTEM project is recommended to control a wheel chair by using speech recognition module. The system is designed to control a wheel chair using the voice of person. The objective of this project is to fascilate the movement of people who are disable or handicapped and elderly people who are not able to move well. 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 wheel chair. This can be realized and optimized with use the smart phone device as an intermediary or interface. In this project interfaces has been designed therefore to develop a program for recognize speech also controls the movement of chair and an application which can handle or manage the graphical commands. This project uses arduino kit Microcontroller circuit and DC motors to create the movement of wheel chair and Ultrasonic Sensors to detect the hurdles in between wheelchair and the way of direction.

international journal for research in applied science and engineering technology ijraset, 2020

The disabled people cannot move from one location to another location. They always need help for moving wheel chair. The voice controlled system provide more help independently. We describes in this paper about intelligent smart voice controlled wheel chair which operates on disabled voice commands. This system can be controlled by the simple voice commands given by the disabled people. This voice controlled system make them move independent. Joystick interface Powered wheelchairs are unable to be controlled by many people. All the physical disabled person can control the wheel chair easily. Who cannot control their movements especially with the help of hands. Some patients like cerebral palsy, quadriplegic, and multiple sclerosis are dependent on other people to move from one place to another place and due to this they don't have the freedom of mobility. This voice controlled wheelchair helps them to drive the wheelchair without anyone's help. Depending upon the direction specified in the commands, the Arduino nano will drive the motors. The speech recognition is recognized by Google voice service .The bluetooth is connected with Arduino nano which helps for the movement off wheels to which the DC motor is fixed. The wheelchair would operate by disabled people.

2015

In this work, in order to support physically handicapped persons a low cost voice controlled wheelchair is proposed. The person can control the wheelchair by voice commands. This paper presents the proposal, design and implementation of a microcontroller based voice controlled wheelchair. As speech is the preferred mode of operation for human being, this work intends to make the voice oriented command words for controlling wheelchair. Voice recognition module has to be added to the wireless network. The voice command is a person independent. The system comprises of transmitting and receiving module. Initially, the voice command is stored in the data base with the help of the function keys. Then the input voice commands are transmitted through wireless. The voice received is processed in the voice recognition system where the feature of the voice command is extracted and matched with the existing sample in the database. The module recognizes the voice and sends control messages to th...

IAEME Publication, 2020

As per WHO, about 10% of global population i.e. about 650 million people have disabilities. Studies indicate that of these, 10% require wheelchair. And on the other side there is a massive development in wheelchair from joystick movement to staircase climbing wheelchair to standing wheelchair. Two million wheelchairs are being used each year in US alone states the book of The Economics of Knowledge, Innovation and systemic Technology policy. Though the production is huge, still quadriplegic patients faces a lot of hurdles to use the wheelchair in their daily routine. So, the point of the undertaking is to outline a wheelchair communicator framework that could work as the wheelchair of the impeded individual with the assistance of intelligent system. This framework could be utilized by physically debilitate people who can't move their hands or legs however make head movements, particularly for quadriplegic patients. And this wheelchair system can be accessed by both the patient and the care taker.

Automatic wheelchair cum bed with voice control mechanism for paraplegic patients is an innovative idea in the field of rehabilitation. For precise control and accurate movements, the joystick and voice control mechanisms are used by the patients. Voice controlled movement will be extremely helpful to someone who might lack the physical ability to move both their legs. The wheelchair can also be customized as a bed by stretching it. This will help the paraplegic patient to lie down without an auxiliary support. The hardware set up will provide the necessary mechanical movements like forward, left, right and height. By means of ultrasound sensor, the obstacle can be detected and displayed on the LCD. The patients with paraplegia find it very difficult to sit continuously in the same position as it can develop back pain and muscle cramps. Thus as a preventive measure, a massaging system for the lumbar region is incorporated in this wheelchair.

Control Engineering Practice, 1995

This paper describes the control of an electric wheel chair with voice commands. This chair has been developed and built at the U.A.H. Electronic Department and financed by the ONCE Foundation (Spain). The first prototype consists of voice recognition, motor control, user interface and central processor modules. The electronic system allows the chair user a safe, easy ride, and guarantees the concordance between user commands and actual trajectories. Furthermore, the system has been designed to allow the addition of future features, like obstacle and stair detection and the tele-commanding of electrical household appliances from the chair.

The main objective of our project is to design a wheel chair for physically disabled persons, controlled by voice input. The entire system is controlled by the PIC (16F877A) microcontroller and the voice recognition IC (HM 2007) is used, which is capable of storing voice signals, and generating good recognition performance on highly disordered speech. The voice IC consists of non-volatile memory back-up with 3V battery onboard, which will store the speech recognition data in RAM after the power off condition. Whenever a voice is given as input in the Mic the received voice is compared against the stored voices. On successful matching of the voice the HM2007 IC will send the corresponding codes to the controller. The controller interprets the command and activates the I/O ports accordingly. The Wheelchair rotation will be based on the motor connected to it. The motor is controlled by the I/O of the controller.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

According to research there are about 6 million populations in the world who are paralyzed and needs a wheelchair for their mobility. Earlier the wheelchairs had to be moved and be externally supported by any person. To help overcome this "joystick-controlled wheelchairs" are developed. But in regular use, these joystick-controlled wheelchairs became difficult to use. Especially in the case of paralyzed people, the use of joystick became more difficult due to the hard buttons and unidirectional use of the joysticks. To overcome these problems, we've tried to develop a "gesture-controlled wheelchair" which can be moved with a slight tilt of the hand. This can be used in both hands and can be controlled to come to the user from a distance. The current work is implemented with Arduino based devices such as Arduino UNO processors and programmed through Arduino IDE.

This paper introduces the wheel chair which is controlled by voice commands from the handicapped person. Voice commands are received by the android mobile and converted into the text and provided to the Microcontroller PIC 16F877 for controlling the movement of wheel chair. The input command from the android mobile is transferred to the Microcontroller with the help of Bluetooth module wirelessly. Two DC motors are used to control the movement of wheel chair. These motors are connected to the back wheels of wheel chair with the help of a gear mechanism. Battery is used to provide the power to the DC motors. Two double pole Relays are used, which connects the battery to the DC motors and the operation of relay is controlled by the microcontroller. Two IR sections, forward and backward are used to detect the obstacle in the path of wheel chair. The block diagram, hardware used and performance analysis of wheel chair is presented in this paper.

A project report submitted in partial fulfillment of the requirements for the award of the degree of

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

The voice assistant module and eye tracking are both used in the smart wheelchair designed for individuals with disabilities. A module for image processing, a wheelchair-controlled voice associate module, and restricted by appliances are among the two modules found in the smart wheelchair. The wheelchair-mounted camera that can take pictures and handle those images makes up the picture processing module. To obtain pupil movement in the 2D bearing, the acquired image was put into a Raspberry Pi microcontroller process using Open CV. The student is then remotely moved to the wheelchair management module. Additionally, the procedures are controlled by the movement of the eyes. Technology such as speech recognition offers a means for people to communicate with wheelchairs. Thus, employing this technology to manage a wheelchair makes it simple to overcome the challenges that people confront. This can be done by employing a smart phone or other device with a smart assistant as an interface between a person and a wheelchair.