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A project report submitted in partial fulfillment of the requirements for the award of the degree of
— 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.
https://ijshr.com/IJSHR_Vol.5_Issue.2_April2020/IJSHR_Abstract.0033.html, 2020
Most of the disabled people usually depend on others in their daily life especially in moving from one place to another. For the wheelchair users, continuously they need someone to help them in getting the wheelchair moving. By using a wheelchair control system they become more independent. The moto of this research project is to design and fabricate a voice controlled wheelchair for physically disabled people. The wheelchair control system which deploys a voice recognition system for triggering and controlling all its movements. It integrates a microcontroller, voice recognition through Google assistant, motor control interface board to move the wheelchair. By using the system, the users are able to operate the wheelchair by simply speaking and commanding through Google assistant. The basic functioning process includes forward and reverse direction, left and right turns and stop. It uses a PIC controller manufactured by Microchip Technology to control the system operations. It communicates with the voice recognition through Google assistant and works with the commands which is saved as the number system directed from the Ada-fruit cloud. The speech is given and then determines the corresponding output command to drive the left and right motors. To finish this task, an assembly language program is written and stored in the controller's memory.
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.
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...
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 ...
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.
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.
IRJET, 2022
As the population of the elderly and the disabled grows, so does the demand for care and support equipment to enhance their quality of life. The most popular mobility aid for people with limited mobility for the past 20 years has been the electric powered wheelchair (EPW), and more recently, the intelligent EPW, also known as an intelligent wheelchair (IW), has attracted significant attention as a new technology to meet users' varied needs. Elderly people and disabled people face a lot of difficulties in performing the simplest day to day tasks. Many of them rely on others or utilizing conventional technologies such as wheelchairs to accomplish tasks. With the help of modern technology and the advent of voice-enabled applications and devices we can build tools to help them interact with society and smooth their mobility during everyday activities. A major problem that they face is to reach the wheelchair, hence, to curb this issue we propose a mobile application that enables the user to locate and navigate the wheelchair towards themselves whenever they need it. The primary goal of the interactive user operated wheelchair system project is to provide a user- friendly interface by employing two ways of interaction with the wheelchair that is entering choice of direction through touch screen (haptic) and voice recognition input using speech recognition module to operate a wheelchair.
Journal of Telecommunication, Electronic and Computer Engineering, 2016
In this paper, we present our work called wireless voice-based wheelchair controller system, which consists of an Android device and a control system that controls the movement of wheelchair using a DC motor. This project is aim to ease the burden for wheelchair user especially for elderly people to move around. The control system is build using the Yo-Yo (IOIO) platform that controls the DC motor, communicates with the Android phone application using RF receiver through a Bluetooth communication protocol and RF signal. The Android application is developed using Basic-4-Android (B4A) rapid development tool connected with one main control interface using voice command, D-pad and joystick to control the motor driver MD30C direction and speed through IOIO platform based on four conditions; forward, backward, right and left. The speed movement is controlled by Pulse Width Modulation (PWM) signal while the direction movement for Qibla’ is generated by the control interface and guided by ...
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.
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.
People suffering from Parkinson's disease or from paralysis (paraplegia or quadriplegia) have the inability to move their limbs and other voluntary organs, they are dependent on someone's help to move around all the time and this makes them feel incapable and brings down their morale to survive. A solution to this becomes inevitably necessary in order to provide them with the necessary mobility and independence as they are inferior to nobody. The existing large scale manufactured versions of the wheelchair are either manually driven i.e. by the help another individual or hand driven. Paralyzed patients however do not have the ability to move their limbs but do possess the ability of speech which is the whole concept behind this voice driven wheelchair. The aim of this wheelchair is to provide a whole new platform of independent existence to these patients in the form a voice guided wheelchair. An implementation of the manufacture of this wheelchair on a large scale, the reduction of cost by simplicity in setting up and working. This will enable the wheelchair to be provided at an affordable price to the common man, this acted as another big driving force.
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 equipments are available for these type of patient there is no independent means of mobility device for these patients since they cannot drive a joystick or manual wheelchair. In order 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 module to identify the voice, a microcontroller which can be programmed other supporting hardware components and a motor driver L293D.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 L293Dmotor driver. Here we can control the motors to move right, left, forward, reverse, free runs and stop or break.To provide tilt operation for this wheelchair we use selective movement of a single motor based on the diameter and speed of the wheel. Also can calculate how much movement is required to tilt the wheelchair at a desired angle.
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
Many people with disabilities do not have the dexterity necessary to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. The methodology adopted is based on grouping a microcontroller with a speech recognition development kit for isolated word from a dependent speaker and a set of sensors. In order to gain in time design, tests have shown that it would be better to choose a speech recognition kit and to adapt it to the application.
2019
The idea of using voice activated technology for controlling the motion of the wheelchair is to help many people with disabilities especially quadriplegics who do not have the dexterity necessary to control a joystick on an electrical wheelchair. The aim of this study is to implement an interesting application using small vocabulary word recognition system. The methodology adopted is based on grouping a microprocessor with a speech recognition development kit for isolated word from a dependent speaker. The resulting design is used to control a wheelchair for a handicapped person based on the vocal command and furthermore the user can select either slow or fast speed to move the system. This speed selection is in important for safety and extra maneuverability of the user. For example, if the user need only to move in a short distance or to approach object, he should use the slow speed. This paper describes the design and development of the motion control using voice recognition for a...
Many people with disabilities do not have the necessary ability to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. In this work we adopted the use of a microcontroller , a DSP processor and a hardware speech recognition module for isolated word from a dependent speaker. To give the user more security, we included on the electric wheelchair a set of sensors in order to avoid obstacles. To gain in time design, tests have shown that it would be better to choose a speech recognition kit and to adapt it to the application.
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
Today's world contain of a large variation of people. Mostly disability person is depends upon other for their living. But in the today's fast developing world, people is busy in work so that they don't have enough time for physically challenged people.The main aim this system physically challenged people can move inside the home without any trouble. In this system voice recognition system used for physical challenge people so person move from one place to another place with the ease. In the voice navigation system voice from physical handicapped match with the predefined store voice then the chair will move with accepted direction. According to the received voice, the wheelchair is automatically understood end point and the wheelchair moves according to the path which is predefined in system. It is contains obstacle avoidance technique.
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