VOICE OPERATED WHEELCHAIR FOR PHYSICALLY CHALLENGED

2013

There are lots of handicaps and elders in the world. Many of them are not able to move as easily as normal people. It is useful if we develop an automatic wheelchair to help them move more freely. In this paper we proposed a design of smallarea automatic wheelchair to help handicaps or elders are able to move easily in a small area. The most concern in this project is low cost with acceptable performance rather than high velocity or high accuracy. The main aim of this project is to control the devices and to ask the basic needs like water, food or medicine by using MEMS (Micro Electro-Mechanical Systems) technology. MEMS is a Sensor which is a highly sensitive sensor and capable of detecting the tilt. This sensor finds the tilt is to the right side then the device will be on for the first time then next time it will be off. In the same way, if the tilt is to the left side then another device is going to be controlled. The tilt is in upwards or downward direction the related need wil...

International Journal of Scientific Research in Science and Technology, 2021

Many disabled people usually rely on others in their standard of living especially in getting from one place to a different. To use wheelchair, they have someone to assist them in moving the wheelchair. Having a wheelchair system will help handicapped persons become independent. The system could be a wireless wheelchair system with a voice recognition system for triggering and controlling all its movements. The wheelchair responds to the voice command by user to perform any movement. It integrates a microcontroller, android phone, control interface board to maneuver the wheelchair. By using the system, users are able to operate the wheelchair by simply talking to wheelchair microphone. the essential movement functions includes forward and reverse direction, left and right turns and stop. It utilizes Renesas Microcontroller to manage the system operations. It communicates with the voice recognition processor to detect word spoken and so determines the corresponding output command to ...

— The technology and science has achieved many new heights but still the mankind is left physically disabled at some time in their lives. In the view of present scenario in India among the total population of the country around 27.1% are the sufferer from the disability of the movement. An important aspect of the paper is to integrate persons with disabilities in the society so that they can actively participate in society, be a part of a society and lead a normal life. Therefore in the present work an attempt has been made to provide better maneuverability with the help of a Voice Controlled Wheelchair. The main aim of the paper is to focus on the movement by a voice command. The simple words like Go, Back, Left, Right and Stop are used. The controller decodes the maneuvering commands by speech-recognition techniques and transmits these commands to the Wheelchair motors to affect the desired motion.

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.

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.

2016

This paper touches the life of people with various kinds of disability; especially quadparalysis patients who need help at every step. Multipurpose voice controlled wheelchair is the best solution for those people. The wheelchair can serve the patients daily needs without continuous help from others. All commands are implemented just by the patient voice orders. The novelty of this wheelchair lies in its ability to turn into a bed, can rise up by 100cm, can move everywhere and at any direction, have a fan in the seat to refresh the air to protect the patient from ulcers and finally the patient and his family will not suffer any more from going to the bathroom or when taking a shower. Keywords—component; quad paralysis patients; Voice controlled Wheelchair

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.

2017

Here an attempt is made to provide a reliable, more user-friendly, eco-friendly and viable mobility aid in the form of a smart multimodal power assisted wheelchair for those who are disabled in movement. The wheelchair is designed for a social cause and the purpose is to raise the self-confidence level of a significant class of disabled and elder people of a country like India, by providing them maximum autonomy so that they can lead a better life and participate in the community<em>. </em>

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.

In the technologically developing world patients with some cognitive disabilities and impairment must be provided with smart wheelchair systems for their easy navigation and safety. This paper describes the wheelchair system with user friendly touch screen and joystick interface. Use of touch-screen enables less muscle movement and less muscular pressure than the self-propelled wheelchairs which are being used from ages. It enables a disabled person to move around independently using a touch screen application which is interfaced with motors through microcontroller. In order to change the direction, the touch screen sensor is modelled to direct the user to required destination using direction keys on the screen and that values are given to microcontroller. Depending on the direction selected on the touch screen, microcontroller controls the wheel chair directions. The joystick is to translate the movement of a plastic stick into an electronic information. Then it is processed through a controller. The speed controller works by varying the average voltage sent to the motor. This is done by switching the motors supply on and off very quickly using PWM technique. The methodology adopted is based on grouping a microcontroller with a touch screen.

Advances in Science, Technology and Engineering Systems Journal, 2018

In this research paper, the development and evaluating of a smart controller for electrical powered wheelchairs are presented. The controller aimed to assist quadriplegic, paralyzed, and handicap patients who cannot use their hands to drive an electrical wheelchair by using a joystick controller. Two sub control units have been combined in one hybrid system to create the current version which are voice, and head tilt controllers. They are activated and operated in parallel at the same time to allow the wheelchair user to choose the preferred control method. The voice controller is activated by the user's voice command to control the wheelchair instead of a joystick. The head tilt controller uses the user's head motions to create control commands instead of the joystick controller. The head tilt controller design is based on using two embedded MEMS orientation detection modules as input measurement units. The system uses a modern low power consumption microcontroller to analyze the received information and data from inputs and creating the prompt control commands and send it to the wheelchair motors driver as an output unit.

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

2021

There is always a need for a physically challenged persons to seek help of others for moving from one place to another. Thus, the problems that they are facing can be solved by using speech recognition technology to move the wheelchair. Speech recognition technology is a key which may provide a new way of human interaction with machines or tools. The proposed work is to facilitate the movement of people who are disabled or handicapped and elderly people who are not able to move well. Here the Voice Controlled Wheelchair moves by using speech recognition module and with the possibility of avoiding obstacles. A program is designed to interface with the Renesas microcontroller and voice recognition unit that recognizes a voice and in turn controls the movement of wheelchair. The design of this smart system will allow certain people to live a life with less dependence on others. Index Terms – Renesas microcontroller, Speech recognition, Android.

In recent year's enlargement promises a broad scale in developing smart wheelchair for those people disabled belonging to poor community. The research of smart wheelchair begins to depict awareness from both scientific community and industry. This paper includes the smart wheelchair that can monitor the possibility circumstances like temperature, humidity, fire etc... Be in command of voice, eye and joystick. This smart wheelchair informs the doctor/ analyzer via text message or through voice message about the patient conditions. In present world the medical field is center of attention about to be concerned the patients and hence this proposed product will be made user friendly to reduce the load of caretaker and will boost up the confidence level of the disabled person by making him/her self-dependent. The system is divided into 3 main units: Voice recognition through Mobile Phone, Eye Gesture recognition through Microcontroller and Motor control through Joystick. The whole coordination is based on grouping a Mobile Phone with a Microcontroller and Sensors.

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.