IRJET- AUTOMATIZED PERAMBULATOR FOR DISABLED PERSON (original) (raw)
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IRJET- SMART WHEELCHAIR AND HOME AUTOMATION
IRJET, 2020
This paper depicts the arrangement of an inventive and insignificant exertion transportability assistive advancement that is used to support the control of a wheel seat and home mechanical assemblies by using impelled voice heading of the disabled people. The four major components of the system wheel seat can be investigated through voice request or moving four position which is found using accelerometer sensors worked in android phone. Using IR sensors we can sidestep the threat of crash and harm and keep up some progressively secure great ways from the articles. Impediment individual can't stand up and switch on-off the light or fan unfailingly so to give them all the more loosening up this system offers home motorization by provide voice guidance or android phone or by truly swipe the catch on the screen. We have completed this system for the debilitated people when they faces any unfortunate issues, for instance, in case they amazingly tumbled down from the wheel seat or anybody harassing them or if the criminals upset them rapidly the alert message will lost to the stress individual through the GSM module. This structure will fabricate the specific level of the impeded individuals and urges them to vanquish their issues that they glanced in their regular daily existence. We can completed this structure can be injured people faces any unwanted issues, for instance, in case they grievously tumbled down from the wheel seat or anybody.
An approach to develop a smart and intelligent wheelchair
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.
IRJET- Smart Wheelchair with Medicine Reminder and Autopilot System
IRJET, 2021
Wheelchairs have always been a boon for physically impaired people in our society. Many people suffer from some kind of temporary or permanent illness or disability. Both manual and electrical wheelchairs are used by patients independently. There has been a progressive development of wheelchairs over these past few years. However, in several severe cases, people find it difficult to use the wheelchair by themselves. This is due to the fact that independent mobility is difficult and they have to rely on another person for help. Researchers are working on these issues to develop a smart wheelchair. The aim of this project is to work on pre-existing models of wheelchairs and discuss on future works. In this project, we have designed a wheelchair which can be controlled by voice command with the help of a mobile-based application. An Autopilot System for navigation is also incorporated. A Medicine Reminder system is also an additional feature that result in a wheelchair with multiple functionalities. Thus, the wheelchair has 3 different and distinct functions that it can do in order to make the life of the user easier and convenient.
Automated Innovative Wheelchair
International Journal of Information Technology Convergence and Services, 2013
New development in sensors, radar and ultrasonic technologies has proved to be a boon for electronics travelling aids (ETAs). These devices are widely used by blind and physically challenged peoples. C5 laser cane, Mowat sensor, belt and binaural sonic aid, NAV guide cane are among popular electronic travelling aids used by blind peoples. For physically challenged person electric wheel chairs controlled by joystick, eye movement and voice recognition are also available but they have their own limitation in terms of operating complexity, noise environment and cost. Our paper proposes an automated innovative wheelchair controlled by neck position of person. It uses simple LEDs, photo sensor, motor and microcontroller to control the movement of wheelchair.
IRJET-Hand Gesture Controlled Wheelchair
IRJET, 2020
According to the World report on disability by World health organization (WHO), about 15% of the world's population lives with some form of disability, of whom 2-4% experience significant difficulties in functioning. So, they need a wheelchair for their mobility. These days there are various wheelchairs available in the market such as joystick-controlled wheelchair, voice recognition-controlled wheelchair, head gesture-controlled wheelchair, whose cost range between 80,000 to 1,50,000. In this case disabled people faces more difficulty due to unidirectional use of wheelchair control system. To overcome this problem, we have tried to develop "Hand gesture-controlled wheelchair". This can be used in both hands and can be controlled by his/her companion, if the person is not able to operate it. This current work is implemented with Arduino based device such as Arduino Uno and Nano as Arduino is the open source electronic platform, easy to use in hardware and software section.
Zenodo (CERN European Organization for Nuclear Research), 2023
Main goal of the SMART WHEELCHAIR project is to control a wheelchair using a voice recognition module (HC-05). This system is designed to control the wheelchair with a human voice. The aim of this project is to facilitate the mobility of people with disabilities and disabilities, as well as elderly people with mobility difficulties. The goal of this system is to allow certain people to live their lives less dependent on others for their daily movements. Speech recognition technology is a key technology that gives new ways of human interaction with machines and tools. So, using voice recognition technology in the movement of the wheelchair can solve the problem they are facing. This can be achieved and optimized by using a smartphone device as an intermediary or interface. This project uses an Arduino UNO microcontroller circuit and four of his TT DC motors to generate movement of the wheelchair and an ultrasonic sensor to control the movement of his hurdles between the wheelchair and the direction detect. The results and analysis of this innovations are explained in this paper. This result indicates that the module can be used in future research work and develop excellent innovations to meet market demands and public interest.
Implementation of A Multifunctional Smart Wheelchair
The project presents a multifunctional smart wheelchair for movement of disabled people along with patient monitoring using Arduino. The wheelchair can move in left, right, forward and backward directions. The movement is controlled by voice. Here voice is given to the mobile phone and it transmits the corresponding data to microcontroller using bluetooth module. Microcontroller controls the movement of wheelchair by controlling the DC motors interfaced with motor drivers. Patient monitoring is achieved by temperature sensor and data is given to microcontroller. Whenever the temperature rises above the threshold value, an alert message is sent to doctor's phone using GSM module. Along with this, obstacle detection is also implemented using Ultrasonic sensors.
IJERT-Arduino Based Voice Operated Wheelchair With Obstacle Detection-A Survey
International Journal of Engineering Research and Technology (IJERT), 2018
https://www.ijert.org/arduino-based-voice-operated-wheelchair-with-obstacle-detection-a-survey https://www.ijert.org/research/arduino-based-voice-operated-wheelchair-with-obstacle-detection-a-survey-IJERTCONV6IS13005.pdf Arduino based voice operated wheelchair with obstacle detection is designed to control a wheelchair using the voice of the client. The voice command given is converted to binary numbers by VR3, Voice Recognition Module and those binary data is given to the arduino board for the control of the wheelchair. The result of this design will allow certain people to live with less dependence on others. This project uses XMEGA 2560 microcontroller circuit and direct current motor to create the movement of wheelchair. An improved version of this technology i.e. obstacle avoidance is being added by using ultrasonic sensors which will enable the client to call the wheelchair to the clients location, say for example if the client is sitting in a sofa in a different room as compared to the wheelchair, the wheelchair will come to him/her on indication. Continuous video streaming will be done to call the wheelchair to the client's location.
Review on Smart wheel chair for physically handicapped people
In today's world, more number of physically handicapped & elder peoples are depend on others. But today's world becomes fast, everyone is busy & there are few peoples to take care of these peoples. They find the automated wheelchairs for an easy transportation. The proposed work is to design & develop a smart wheelchair using Voice Recognition & Gesture Control System. It is also have the Obstacle Detection system, where the user may not be able to give proper command at the right time to wheelchair. It can be used efficiently with less effort by the user so that they can use it easily & independently.
IRJET- Voice Controlled Human interacting Wheelchair
IRJET, 2020
Many physically disabled users are unable to operate a powered wheelchair safely, without causing harm to themselves, others, and the environment. Human interacting wheelchairs that help out or replace user control have been developed to make available for these users, utilizing systems and algorithms from autonomous robots. Even though a constant period of research and development of robotic wheelchairs, there are very few available commercially. Developing a navigation system that is intended at being retro-fitted to powered wheelchairs. The navigation system developed takes a systems engineering approach, integrating many existing open-source software projects to deliver a system. The navigation system introduced in this opinion is aimed at operating in an free indoor environment, and requires no a priori information about the environment. The key components in the system are: obstacle avoidance, map building, localization, path planning, and autonomously travelling towards a goal. The test electric wheelchair was instrumented with the following: a laser scanner, wheel encoders, camera, and a variety of user input methods.