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2020, IRJET
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.
International Journal of Electronics and Communication Engineering, 2015
Many people those using wheelchairs are not able to control an electronic wheelchair with joystick interface. The iWheel" robotic wheelchair system is a general purpose navigational assistant in environments that are accessible for the disabled (e.g., ramps and doorways of sufficient width to allow a wheelchair to pass). A reactive system does not use maps for navigation. One of the advantages of this strategy is that users can navigate in multiple locations and environments. This report describes indoor navigation in the "iWheel" system; outdoor navigation is currently under development.
IRJET, 2020
The main aim of this work is recommended to control a wheel chair by voice of the person or patient who uses the wheel chair for their daily needs. The system is designed to facilitate the movement of elder, handicapped and also blind peoples those who are not able to move well by them. Problems in existing system are it can only use by nonblind people. No array mic is included, so noise cancellation is not possible for input commands. By using SLAM algorithm we can map each room. So the person sitting in the wheel chair does not need to tell the direction which he needed to go, instead he can tell the wheel chair in which room he want to go. Array mic is used here. So noise cancellation and better acceptance of voice is possible. An obstacle sensor is included in the system to detect the presence of obstacles in the way of movement.
GRD Journals , 2019
Mobility is one of the greatest challenges faced by elderly and physically challenged people. Solution to their problem is powered wheelchairs with automatic navigation system. This paper presents a wheelchair which can be trained to self-navigate in indoor. The main objectives is to store the indoor paths covered by the chair and reuse it for future navigation. IR sensors are used to overcome obstacles when detected, a digital compass is used to detect the direction of movement of wheelchair. This system has a manual mode for the user to train and save new paths and also for navigation in outdoor. There is also a processing unit which saves the path and which is connected through a wireless communication protocol using zigbee.
2019
Manually controlling an electric powered wheelchair is a challenging task, especially for dependent individuals with movement disabilities. A solution to improve user’s mobility is to implement an autonomous navigation algorithm on powered wheelchairs. This paper presents a unique approach to achieve inexpensive and robust semi-autonomous assisted navigation for existing powered wheelchairs. Our prototype wheelchair platform is capable of localization, as well as robust obstacle avoidance, using only a commodity RGB-D camera and wheel odometry. It uses the localization data to autonomously plan and traverse to the desired goal locations in a known indoor environment.
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...
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Route planning is an important tool to reach points of interest. The current technology offers options for public transportation and pedestrians on the road and sidewalks, respectively. However, for people who use electric powered wheelchairs (EPW) as their primary means of mobility, the level of accessibility and EPW battery consumption are important during route planning. This paper introduces the concept of an accessible route navigation application to reduce EPW battery consumption. The application, called eNav, uses five layers of information including OpenStreetMaps (OSM), airborne laser scanner (ALS), Point-of-Interests (POIs), public transportation, and crowdsourcing. eNav collects these layers of information to provide the shortest, most accessible, and most comfortable routes that consume the least amount of EPW battery. Additionally, the paper presents the Mobility Enhancement roBot (MEBot), a legged-wheeled power wheelchair, to drive over architectural barriers and less ...
Journal of Experimental & Theoretical Artificial Intelligence, 2014
Powered wheelchairs offer a means of independent mobility for older adults and patients who are unable to walk and cannot propel a manual wheelchair. One concern is these adults and patients are unable to drive a powered wheelchair safely or properly. Intelligent wheelchairs offer an approach to address this problem by self-controlling the movement and direction of the wheelchair without patients and older adult's intervention. This paper describes the development and evaluation of a robotic intelligent wheelchair system (RIWS) based on obstacle avoidance and navigation functions that allow patients to navigate to scheduled outpatient appointments in a hospital safely and accurately. Experimental results show that all scheduled destinations were successfully reached by our RIWS.
Archives of physical medicine and rehabilitation, 2018
To compare the Mobility Enhancement roBotic (MEBot) wheelchair's capabilities with commercial electric-powered wheelchairs (EPWs) by performing a systematic usability evaluation. Usability in effectiveness, efficacy, and satisfaction was evaluated using quantitative measures. A semistructured interview was employed to gather feedback about the users' interaction with MEBot. Laboratory testing of EPW driving performance with 2 devices in a controlled setting simulating common EPW driving tasks. A convenience sample of expert EPW users (N=12; 9 men, 3 women) with an average age of 54.7±10.9 years and 16.3± 8.1 years of EPW driving experience. Not applicable. Powered mobility clinical driving assessment (PMCDA), Satisfaction Questionnaire, National Aeronautics and Space Administration's Task Load Index. Participants were able to perform significantly higher number of tasks (P=.004), with significantly higher scores in both the adequacy-efficacy (P=.005) and the safety (P=.0...
Journal of Zhejiang University Science, 2005
Recent results on the development of a navigation system for a smart wheelchair are presented in this paper. In order to reduce the development cost, a modular solution is designed by using commercial and low cost devices. The functionalities of the tracking control system are described. Experimental results of the proposed assistive system are also presented and discussed.
IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 1999
The NavChair Assistive Wheelchair Navigation System [19] is being developed to reduce the cognitive and physical requirements of operating a power wheelchair for people with wide ranging impairments that limit their access to powered mobility. The NavChair is based on a commercial wheelchair system with the addition of a DOS-based computer system, ultrasonic sensors, and an interface module interposed between the joystick and power module of the wheelchair. The obstacle avoidance routines used by the NavChair in conjunction with the ultrasonic sensors are modifications of methods originally used in mobile robotics research. The NavChair currently employs three operating modes: general obstacle avoidance, door passage, and automatic wall following. Results from performance testing of these three operating modes demonstrate their functionality. In additional to advancing the technology of smart wheelchairs, the NavChair has application to the development and testing of "shared co...
In this paper, a low cost assistive system for an electric wheelchair is introduced. Using two depth sensors and two wheel encoders, the system tracks a caregiver and sends linear and angular velocities to wheelchair's motors. The system is designed to be used by all disabled peoples regardless their pathologies. Unlike other assistive systems, acceptability and usability constraints are both verified by our system. The effectiveness of the system is evaluated in indoor environments and experimental results are presented.
International Journal of ADVANCED AND APPLIED SCIENCES, 2019
This research work proposes a prototype of low-cost smart wheelchair design. The significance of this model of the wheelchair is to move autonomously around a known environment, following a definite path. Existing systems include control action using a joystick, voice recognition, head movements, and eye motion. However, these systems include limitations in terms of operating complexity, the environment in which it is used and cost. Most importantly, the limitation of the existing system is the need for the continuous effort of the user in controlling the wheelchair. Hence, this work targets to aid the physically challenged persons to have improved mobility without much of human effort. An automatic wheelchair model is proposed that empowers navigation without continuous steering of a wheelchair by the user in a known environment. The model includes a set of sensors, infrared, ultrasonic, RFID reader and tags. The other significant components are the compass module, ATmega microcontroller, and motors. This system was designed and developed to enable low cost, reduced time and effort of the user. This paper provides a comprehensive overview of the design and validation of the autonomous wheelchair system. Further, the sophistication towards the GPS enabled autonomous system could be extended, which works well in different new environments.
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
IEEE Transactions on Rehabilitation Engineering, 2000
A navigation module for technological aids for disabled user is presented. and acceptability y criteria are considered in the design of this module, Different AND Usability levels of autonomy for the navigation module are considered for allowing an active interaction of the user with the technological aids. A standardized protocol for the integration of input-output devices for robotic assistive systems is also used. The navigation module is tested on an powered wheelchair and an autonomous mobile base. The sonar sensors are used for on-line detection of possible obstacle collisions. The reliability of sonar readings is increased by the use of a probabilistic map of the environment to support the decisions on obstacle detection.
Journal of Intelligent and …, 2002
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.
This paper presents a robust and intelligent technique to control an electric powered wheelchair (EPW) for severely disabled persons. It is based on the collaboration between the user cognitive skills and his head movement tracking to select the desired navigation command. EEG signals and head position are extracted with a low cost headset. The communication between the computer and the wheelchair is via the Arduino microcontroller. As direct implementation of new software modifications in real wheelchairs is not viable due to financial costs and risks for the safety of handicapped person, the solution is to use 3D simulation for the control model validation. The average accuracies based on the head movement navigation system is 85%.
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.
1998
This paper describes the RobChair assistive navigation system. RobChair is a project under development which aims to assist disabled people to operate powered wheelchairs. RobChair is being developed in order to provide several levels of functionality to assist different users. This paper describes some reactive navigational strategies, namely the potential field method, used for local obstacle avoidance; presents a teleoperation environment to allow remote operation by Internet observers; and introduces a voice human-machine interface (HMI).
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