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2016
Intelligent Wheelchair (IW) interface is used for providing more convenient and efficient interface to the people with disability. Robotic wheelchairs extend the capabilities of traditional powered devices by introducing control and navigational intelligence. The paper presents an exhaustive literature review in robotic wheelchair control mechanism. The main theme is to control the wheelchair according to signals from the input source. The paper presents different control mechanisms, their advantages, limitations, strengths, weaknesses as a preliminary review.
Intelligent Wheelchair (IW) interface is used for providing more convenient and efficient interface to the people with disability. Robotic wheelchairs extend the capabilities of traditional powered devices by introducing control and navigational intelligence. The paper presents an exhaustive literature review in robotic wheelchair control mechanism. The main theme is to control the wheelchair according to signals from the input source. The paper presents different control mechanisms, their advantages, limitations, strengths, weaknesses as a preliminary review.
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
Recent advancement in research fields involving computer science and Artificial Intelligence has influence the rapid growth in smart wheelchair research. Another factor adding to this growth is the evolution of sensor and computing technology. Basically, a smart wheelchair is a powered wheelchair that has been modified by adding necessary sensors and instruments that able to read, collect and send information that can be used to modify the status of the wheelchair, as well as interacting with the environment or the user. The modification can be done on various part of the wheelchair system, and can be categorized with their input methods, operating system or their navigation system itself. This paper discussing on various input methods used in recent smart wheelchair research and summarizes the ideas presented.
International Journal of Scientific Research in Science, Engineering and Technology, 2021
Physically challenged persons those who are suffering from different physical disabilities face many challenging problems in their day-to-day life for commutating from one place to another and even sometimes they need to have to be dependent on other people to move from one place to another. The purpose of this task is to make a Multi-Functional Wheelchair using Accelerometer ADXL335 and ESP32 as sensor to help physically disabled human beings in transferring from one region to any other simply by giving path from the hand, voice, Bluetooth. This Accelerometer ADXL335 and ESP32 primarily based totally challenge use Accelerometer ADXL335 and ESP32 for transferring backward path, ahead path, left path or proper path. We have advanced a Multi-useful wheelchair for medically disable human beings. We are working wheelchair by multi-feature 1) Bluetooth (Using Bluetooth device, ESP32), 2) Hand Gesture (Using Accelerometer ADXL335 MEMS), 3) Voice (ESP32). This makes challenge very powerful. The fundamental of this challenge is achieved retaining in thoughts to able the handicapped man or woman to transport round their domestic without any assist of different character.
IEEE, 2020
There are millions of disabled people in the world being unable to perform regular activities due to the incompetence of their movability. Many of them lie on the floor and many more die due to different obscurities that could have been foreclosed. Mobility can be achieved by the use of conventional wheelchairs but they can't provide complete mobility since they require the constant presence of attendee. They can play an important role in society if they can get mobile by themselves. It can be achieved through the use of autonomous wheelchairs. In this paper, such an autonomous wheelchair is designed and implemented that eradicates the constant presence of attendee. Four control systems are installed at the wheelchair as gesture control system, voice control system, eye control system and joystick control system that provide the provision to select any one of the control systems based on the disability of the patient.
THE PROCEEDINGS OF THE 4TH EPI INTERNATIONAL CONFERENCE ON SCIENCE AND ENGINEERING (EICSE) 2020
Over 1 billion people or approximately 15% of the world population that have disabilities levels and lesser access to health facilities. The majority of this population with physical disabilities, i.e. around 80%, is from low-income countries; and it is estimated only 5% up to 15% in developing countries, including Indonesia, that have access to assistive device technologies. Indonesia, for instance, has 20% of the total 240 million people who have disabilities in daily and social activities, and about 10% or 4.8 million people require wheelchair due to inability to walk. One major factor affecting limited access to this technology is poverty level. Besides, the ones available on the market are manually controlled by joysticks which are not user-friendly especially diffable with motoric problems. This paper highlights the control system design for a smart wheelchair prototype and the smart interface utilising voice-based and vision-based mechanism, namely voice and image guided direction. The results show that during image guided direction scenario, the system functions accurately with the intensity of light 0.4 to 400 lux without direct sun light, whilst voice guided direction functions effectively regardless any light source disturbances. However, there are some delays between 1.11 to 3.66 seconds for commands to activate the sensor while commands for actuating the motors will generate a delay of 2.19 to 4.62 seconds. Some discrepancies occur during motions, trajectory deviates in X ordinate direction, 83° in forward motion, 63° in reverse motion, 39° in left and 51° in right. These situations could be compensated by implementing feedback control as the current one is only an open-loop control.
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.
5th International Conference on Informatics in Control, Automation and Robotics, 2008
Abstract: Many people with disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling the devices. Intelligent wheelchairs are a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes a development platform for intelligent wheelchairs called IntellWheels. The intelligent system developed may be added to commercial powered wheelchairs with ...
1997
This paper describes the RobChair assistive navigation system. The RobChair project was conceived with the aim to assist disabled people in the difficult task of manoeuvring a powered wheelchair. This paper describes the overall hardware and software architecture including the communication system, a friendly graphical user interface which also works as a simulator and introduces a natural human-machine interface. The system's architecture follows a behaviour-based control architecture
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.
IIUM Engineering Journal, 2019
Our system proposes a wheelchair controlled by head gestures for people with quadriplegia paralysis (QP) or for those suffering from amputation of their hands and legs during the war in Iraq. The wheelchair design has an intelligent control that works with the movement of a patient‘s head in order to enable the patient to drive the wheelchair in the desired direction. The system consists of two main parts. The first is the transmitter in which sensing signals are transmitted to the second part and it consists of a 3-axes accelerometer (ADXL-345), a 433 MHz RF wireless receiver transmitter module, and Arduino UNO. The ADXL-345 sensor is placed in front of a hat that the patient wears. The system detects the direction of the patient's head movement then sends appropriate instructions to the wheelchair’s control part (receiving part). The receiving part is the wheelchair control system that consists of a 433 MHz RF wireless receiver transmitter module and an Arduino UNO. The Ardui...
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.
Many people with severe disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling these electrical devices. Intelligent wheelchairs are a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes a development platform for intelligent wheelchairs called IntellWheels. The intelligent system developed may be added to commercial powered wheelchairs with minimal modifications in a very straightforward manner. The paper describes the concept and design of the platform, including the hardware and software, multimodal input interface and the intelligent wheelchair prototype developed to validate the approach. Preliminary results concerning automatic movement of the IntellWheels prototype are also described showing the autonomous movement capabilities of the prototype.
2019 Moratuwa Engineering Research Conference (MERCon), 2019
Difficulty of the mobility and independent life have become a huge debilitate to the elderly people. They need the assistance of the care givers to carry out their daily routines. At present, with the busy livelihoods of the people, they may have the chance of neglecting their responsibilities towards the elderly people. Friends and relatives cannot provide the assistance for them every time. Also, the huge gap between the supply and the demand of the caregivers is widening day by day. Due to these facts many reliable innovations are coming in to operation. The intelligent wheelchair system has been developed based on a manual wheelchair with the integration of relevant electrical and mechanical modifications. The system is employed with joystick control interface and human interactive facilities to achieve the daily tasks of the user easily. In addition to that, safety precaution and human interactive facilities such as emotion detection, voice recognition, taking calls, checking t...
Informatics in Control, …, 2009
Many people with severe disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling these electrical devices. Intelligent wheelchairs are a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes a development platform for intelligent wheelchairs called IntellWheels. The intelligent system developed may be added to commercial powered wheelchairs with minimal modifications in a very straightforward manner. The paper describes the concept and design of the platform, including the hardware and software, multimodal input interface and the intelligent wheelchair prototype developed to validate the approach. Preliminary results concerning automatic movement of the IntellWheels prototype are also described showing the autonomous movement capabilities of the prototype.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020
In this day and age there are many disabled people who think that it’s hard to perform developments or perform day by day exercises. This sorts of people are for the most part reliant on others for their help. Be that as it may, they can become self-independent and play out some every day exercises without anyone else with the assistance of assistive gadgets. The most generally utilized assistive gadgets are Wheelchairs. Wheelchairs is essentially a seat fitted with wheels, which can assist individuals with moving around who can't walk due to disease, handicap or damage. In any case, there are many disabled individuals with powerless appendages and joints who can't move the wheelchair. Consequently, smart wheelchair can profit a ton to them and everybody in the public eye. Smart wheelchairs are electric powered wheelchairs with numerous additional parts, for example, a PC and sensors which help the client or watchman going with wheelchair to deal with it effectively and proficiently. The ongoing advancement in the field of Artificial Intelligence, sensor advances and mechanical autonomy help the development of wheelchairs with new highlights. This paper is to survey the ebb and flow condition of specialty of smart wheelchairs and examine the future research in this field.
Many people with disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling the devices. Intelligent wheelchairs are a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes a development platform for intelligent wheelchairs called IntellWheels. The intelligent system developed may be added to commercial powered wheelchairs with minimal modifications in a very straightforward manner. The paper describes the concept and design of the platform and also the intelligent wheelchair prototype developed to validate the approach. Preliminary results concerning automatic movement of the IntellWheels prototype are also presented.
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...
Journal of Computer Science
An electric multi-function controlled wheelchair is designed and fully tested. This wheelchair is controlled by several physiological variables namely; voice, head movement, finger bending, breathing pressure and Electrooculography (EOG). The patient has the choice to use any of these variables to control the wheelchair. The voice command is recorded by a voice recognition module with its microphone, whereas, the head and finger motion operate through the gyro accelerometer and flex sensors. A pressure sensor is used to determine the force of breathing and EOG signals are used to control the wheelchair movement. All of the inputs are processed using a microcontroller. Testing of the wheel chair using the mentioned variables is carried out successfully with accuracy between 88 to 96% for various control modules and safety consideration as a primary goal.
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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