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2018, International Journal of Computer Science and Information Technology
Most of the physically disable individual satisfies their movement through motorized wheelchair. The scenario is unusual for the disables of developing countries because of their economic conditions. Moreover traditional powered wheelchair is not comfortable to all segments of the disable society because of their complexity. Several researchers have used sophisticated technologies to operate wheelchair such as voice controlled, head gesture controlled, remote controlled wheelchair for providing better flexibility. For being sophisticated technology Android is being used in mobile, TV or in smart watches.An app with mitigating required controlling facilities is implemented here that may provide a flexible movement of the certain disable community. This paper focuses on the system of PWM based Android Controlled Wheelchair.
2020
A smart wheelchair prototype is to make a design tool that is useful for humans, especially in the health sector, namely a smart wheelchair, where this design will be very useful for the wearer. This smart wheelchair is also equipped with advantages in the form of an application in a smartphone that is connected to this smart wheelchair, where in the smartphone there is a "smart wheelchair" application specifically designed to control this smart wheelchair. As is known smartphone is often used to communicate. Purpose to help individuals who cannot use a manual wheelchair (manual wheel chair). This smart wheelchair prototype can be driven by using Arduino Uno R3, Buetooth HC 05 and DC motors that use the Smart Wheelchair application. Using the waterfall method which has stages such as Requirements analysis and definition, System and software design, Implementation and unit testing, Integration and system testing, Operation and maintenance. What is obtained is an Android-based wheelchair prototype. Remote control car control application uses a cellphone via Bluetooth communication media that has a right turn, turn left, advance with three levels of speed, reverse, brake, automatically return to the range of Bluetooth cellphone adapters, and automatically stop. then this wheelchair can be used as a tool for persons with disability. Obtained results are prototypes of Android-based smart wheelchairs designed using Bluetooth systems and Arduino.
International Journal of Engineering & Technology
This paper describes the development of a smart wheelchair system with voice recognition and touch controlled using an embedded system. An android application is developed and installed on the android smartphone. The system is divided into two main modes: voice recognition mode and touch mode. For the voice recognition mode, elderlies or physically disabled people (users) can provide the voice input, for example, “go”, “reverse”, “turn to the left”, “turn to the right” and “stop”. The wheelchair will move according to the command given. For the touch mode, the user can select the specified direction displayed within the four quadrants on the screen of the android smartphone to control the wheelchair. An Arduino Uno is used to execute all commands. The MD30C motor driver and HC05 Bluetooth module are used in this system. This system is designed to save time and energy of the user.
This paper is to describe an intelligent motorized wheel chair for handicapped person using voice technology. Our goal is to move towards making accessible he manipulation of everyday objects to individuals with motor impairments. It can be controlled through simple voice commands using voice controller. A voice recognition application which is interfaced with motors through microcontroller. We are using Hidden Markov Model algorithm (HMM). A novel approach is proposed in this paper to impart intelligence to a low cost smart wheelchair based on Embedded C system.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
The general objective of the design was to develop a touchpad controlled Android-based electronic wheelchair. It aimed to construct the Androidbased circuitry and program for the path finding mechanism of the drive system and interface the Arduino-based circuit to the electronic wheelchair setup. It was designed to evaluate the system in terms of the speed of the electronic wheelchair, reliability of the sensors to avoid obstacle, and ease of use of the wheelchair. C Programming Language was used by the system to control and manipulate the microcontroller, Gizduino AtM ega644. The Android application was programmed using the Java Language and Eclipse as the IDE. Its ports were used to interface input and output devices such as the ultrasonic sensors, infrared proximity sensor, touchpad, Bluetooth module, motor and motor driver. There was a satisfactory rating for the evaluation of the system while the Android software was rated excellent as a navigational controller.
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.
In this paper we are proposing a semi-autonomous system. Semi-autonomous category falls in between manual and autonomous, which gives flexibility to users to move as per their choice. To avoid the risk of collision a group of monitoring sensors can be used. Ultrasonic sensors are simple, light, and inexpensive alternative to other range sensors. So here 4 Ultrasonic sensors have been used for detecting obstacle in forward, reverse, right and left direction. Android phone is used for wheelchair navigation and home automation purpose due its multiple advantages.
IRJET, 2022
The project involves eye movement wheelchair control. World Health Organization data suggest that there are 40 to 80 cases per million population of quadriplegia (paralysis) per year. Great people like Stephen Hawking have always suffered from quadriplegia. The proposed method involves the design and development of the medical wheelchair which seeks to make the lives of people affected by this condition easier by helping them to move on their own and not be a burden to others. The idea is to make an Eye Controlled System that shifts the patient's wheelchair depending on the movement of the eyeball. A person with quadriplegia can move their eyes and tilt their head slightly, so giving is an opportunity to see this movement. There are a variety of workspaces designed for a powerful wheelchair and there are new and innovative strategies that are affordable for the poor and needy. This paper proposed a simple and inexpensive way to build a wheelchair. A system has been created in which a person sitting in a wheelchair with a camera mounted on it, can move toward it by looking at that position by making eye movements. The captured camera signals are then sent to a CPU, which will then be sent to the Arduino circuit via Serial Interface which will control the motors and allow the wheelchair to move in a certain direction. The system is affordable and can be used by patients spread across a large economy.
2019
When a keyword for wheelchair is searched on internet browser, the search engine returns with more than 1.8 billion. Such a big number is an indicator of a large group of people interested in the wheelchair. Meaning that, the larger interest corresponds to greater demand. Recent statistics shows that 1 in 4 of Americans have a disability that impacts major life activities and number could slightly differ in other countries. The people with disability are trying to move independently for schools, work places, markets and other places of their interest. Therefore, they are needed by a mobility aid which is safe, comfortable and less expensive. In this paper, the development of navigation and control system for an electrically powered wheelchair is reported. The system requires popularly used Smartphone Arduino UNO board, motor driver, joystick and proximity sensor. For navigation and tracking the destination, mobile application software is developed on Android platform. Arduino platfo...
This paper Intelligent Assistant System is a system which provides functionality for disabled people to live independently in today's world. This project increases the ease of mobility for disabled/injured people. We have resolved the disabled problems by implementing voice control, and accelerometer based interfacing with the wheelchair. In this project, the wheelchair has been modified so the motions of the wheelchair are controlled by the instructions of the user. It also provides an opportunity for visually or physically disabled persons to move from one place to another. Intelligent assistant system serves as a boon for those who have lost their mobility. The development of Intelligent Assistant System for the basic purpose of safety, mobility of user, human interface with wheelchair. The necessities of numerous people with incapacities can be happy with wheelchairs; a few individuals from the impaired group discover it is troublesome or difficult to work a wheelchair. This project could be a piece of an assistive innovation. It is for more free, profitable and agreeable living for disabled, injured persons. Many disabled people require help in order to overcome physical challenges. Thus this project will provide an alternative to the disabled in controlling the motion of the wheelchair using their voices and Accelerometer.
2020
The objective of this research is to develop a smart adjustable standing-sitting wheelchair prototype that can be operated with a smartphone. Its distinctive feature is the ability of standing-sitting adjustment and automatic stop when approaching obstacles. This device can be controlled from installed joysticks and Android smartphone control program. Arduino microcontroller is the main processing unit to control drive system operating. A Linear actuator is used for standing-sitting adjustment. An ultrasonic sensor is used to make the smart wheelchair stop automatically when detect obstacles. A wheelchair tested showed that it can move at a speed of approximately 3 kilometers per hour, take 14.30 seconds for standing upright adjustment, release down 13.56 seconds, and average automatic stopping distance is 43 centimeters.
International Journal for Research in Applied Science and Engineering Technology, 2019
There are some people who cannot walk on their own because of some problems such as accidents, handicapped issues, age factors, etc. So there must be some mechanism that can be use to restrain these defects. The proposed Android Controlled Wheel Chair is used to remove these defects and let the people live their life on their own, and survive in the environment easily. The android application is created and installed in the Smartphone and the connection is done using Bluetooth. This wheelchair can move in two modes, first is touch mode and the second is voice mode. In the touch mode when user want to change the direction, then by using the touch screen of the Smartphone the user has to choose the direction specified within the four quadrants on the screen. The user can move upward, downward, right and left according to the specific commands given by the user by the Smartphone.
International Journal of Engineering Research and, 2016
The recent development in the robotics or sensor technology promises enormous scope for the development of an advanced and digital wheelchair. The wheel chairs used by the patients earlier have some limited function such as manual locomotion and may be slip-offs from the slant passages or the staircases. In this project we are trying to include sensors with an android platform to develop an automated wheel chair which can help the patient to control the direction of the wheel chair based on accelerometer, to detect the obstacles, and touch recognition by using android software.
INTERNATIONAL JOURNAL OF ADVANCE RESEARCH, IDEAS AND INNOVATIONS IN TECHNOLOGY
We live in a world, where the technology is growing to the next level every day. But it is very strange to see paralyzed people depending on someone's help for their mobility. In this project, we have developed a smart wheelchair which helps the completely paralyzed patient to move on their own. This is achieved by the voice control method by using an android application connected to the accelerometer. Another method is a hand gesture control method. In this method, we use a flex sensor to control the motion of the wheelchair. Hand gesture control can be used only by partially paralyzed patients. The Android based voice control through the Bluetooth has been designed in the motor, the motor is controlled by the predesigned embedded c software.
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 ...
WSNs have become an attractive field for research as well as scientific and technological developments. Wireless Sensor Networks (WSNs) comprise of a large number of tiny devices equipped with one or more sensors, some processing circuits, and a wireless transceiver. Such devices are called sensor nodes or motes. It sense the parameters like temperature, pressure, humidity, light, and chemical activity are constantly reported by these motes which are deployed and left unattended in the field. The recent development in WSNs is the concept of Smart Homes. Smart homes integrate many devices that can sense the required parameters and control the characteristics of the home. The great progress in the industry standards and installation of lightweight wireless networking hardware over a period of time has proved mobile voice input to be well suited for Smart homes and automation systems. Android application is a low cost, low power, less complex wireless standard. In this paper, sensors l...
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.
— This paper mainly aims to implement a smart wheelchair whose directions are controlled with gesture recognition using android application. This wheelchair is useful for physically challenged people. The android application is created and installed on the Smartphone and connection is done using Bluetooth. The wheelchair can move in three modes first is touch mode, second is voice mode and third is accelerometer based. In the touch mode when user want to change the direction, by using the touch screen of the Smartphone the user has to choose the direction specified within the four quadrants on the screen. In the second mode user just have to give the voice input whether he wants to go such as left, right, up, down. Third mode is accelerometer based in which smartphone is tilted in directions up, down, left or right to move in a specified direction.IR sensors are mounted on the wheelchair to detect obstacles in its path and the wheelchair stops if there are any obstacles.
2015 IEEE European Modelling Symposium (EMS), 2015
Scientists and socialists have worked very hard to help the elderly and the disabled to adopt methods that can help them interact with society and smooth their mobility during everyday activities, rather than be dependent on others, or on using the traditional tools, mainly the wheelchair. However, this technology has basic drawbacks since the disabled still are not able to reach the wheelchair if it is placed far from them. The aim of this project is to introduce an automated ambulation tool, entitled "Mobile Controlled Wheelchair" that helps the users to locate their wheelchairs' position and move it via specific android application to the desired destination. This application also provides the user with the ability to control the wheelchair even when sitting on it; moreover, the user can give orders to adjust the path. The encouraging results set a path for implementing this concept in more aid-systems.
Here is implemented a home navigation system, which comprises of a wheelchair which works on the inputs such as gesture commands via an android phone through Bluetooth and navigates according to command. It can be used by an elderly or physically challenged person to move inside the home without any difficulty. It is also equipped with obstacle avoidance technique, where the person may not be able to provide proper command at the right time. This project is to develop a wheel chair control which is useful to the physically disabled person with his hand gesture recognition using Acceleration technology. It is wheelchair which can be controlled by simple hand gestures. It employs a sensor which controls the wheelchair hand gestures made by the user and interprets the motion intended by user and moves accordingly. In Acceleration we have Acceleration sensor. When we change the direction, the sensor registers values are changed and that values are given to microcontroller. Depending on the direction of the Acceleration, microcontroller controls the wheel chair directions like LEFT, RIGHT, FRONT, and BACK.
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.
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