Relevant bibliographies by topics / Electric powered wheelchairs

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Electric powered wheelchairs'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Electric powered wheelchairs"

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Tao, Weijun, Junyi Xu, and Tao Liu. "Electric-powered wheelchair with stair-climbing ability." International Journal of Advanced Robotic Systems 14, no. 4 (July 1, 2017): 172988141772143. http://dx.doi.org/10.1177/1729881417721436.

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As an autonomic and convenient assistance device for people with disabilities and the elderly climbing up and down stairs, electric-powered wheelchairs with stair-climbing ability have attracted great attention in the past two decades and some various electric-powered wheelchairs with stair-climbing were developed. By using the developed electric-powered wheelchairs with stair-climbing, many patients with walking difficulties are able to descend the stairs conveniently to participate in outdoor activities, which are beneficial to both their physical rehabilitation and mental health. In this article, a review of electric-powered wheelchair with stair-climbing current technology is given and its future tendency is discussed to inform electric-powered wheelchair with stair-climbing researchers in the development of more applicable and popular products. Firstly, the development history is reviewed and electric-powered wheelchairs with stair-climbing are classified based on an analysis of their stair-climbing mechanisms. The respective advantages and disadvantages of different types of electric-powered wheelchairs with stair-climbing are outlined for an overall comparison of the control method, cost of mechanical manufacture, energy consumption, and adaption to different stairs. Insights into the future direction of stability during stair-climbing are discussed as it is an important aspect common to all electric-powered wheelchairs with stair-climbing. Finally, a summary of electric-powered wheelchairs with stair-climbing discussed in this article is provided. As a special review to the electric-powered wheelchairs with stair-climbing, it can provide a comprehensive understanding of the current technology about electric-powered wheelchairs with stair-climbing and serve as a reference for the development of new electric-powered wheelchairs with stair-climbing.
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Cooper, Rory, Rosemarie Cooper, Michelle Tolerico, Songfeng Guo, Dan Ding, and Jonathon Pearlman. "Advances in Electric-Powered Wheelchairs." Topics in Spinal Cord Injury Rehabilitation 11, no. 4 (April 2006): 15–29. http://dx.doi.org/10.1310/acuk-kfyp-abeq-a30c.

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Kato, Kohei, Hiroaki Seki, and Masatoshi Hikizu. "3-D Obstacle Detection Using Laser Range Finder with Polygonal Mirror for Powered Wheelchair." International Journal of Automation Technology 9, no. 4 (July 5, 2015): 373–80. http://dx.doi.org/10.20965/ijat.2015.p0373.

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Because a large number of accidents with electric wheelchairs are due to operational errors, steering assistance systems for wheelchairs have been studied in a variety of ways. One of the basic systems is 3-D obstacle detection around the wheelchair. One method uses a stereo camera for detecting obstacles by image processing. However, this method is less reliable under varying light conditions. A laser range sensor is another useful device for obstacle detection. However, it requires a complex swinging mechanism for 3-D positioning which makes the measuring time too long. Therefore, this paper presents a 3-D obstacle detection system for electric wheelchairs using a 2-D laser range sensor. We set up only one 2-D laser range sensor over the wheelchair, and attached mirrors around it to reflect the laser light obliquely downwards. Then, we gathered obstacle points while the electric wheelchair was moving and made a 3-D obstacle map to assist steering. We built a prototype device and confirmed by experimentation that it is able to detect obstacles in 3-D.
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Cooper, Rory A. "Engineering Manual and Electric Powered Wheelchairs." Critical Reviews™ in Biomedical Engineering 27, no. 1-2 (1999): 27–73. http://dx.doi.org/10.1615/critrevbiomedeng.v27.i1-2.20.

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Sukerkar, Kedar, Darshitkumar Suratwala, Anil Saravade, Jairaj Patil, and Rovina D’britto. "Smart Wheelchair: A Literature Review." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 2 (August 1, 2018): 63. http://dx.doi.org/10.11591/ijict.v7i2.pp63-66.

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In today’s world there are many disabled persons who find it difficult to perform movements or perform daily activities. This types of persons are mainly dependent on others for their assistance. But they can become self-independent and perform some daily activities on their own with the help of assistive devices. The most widely used assistive devices are Wheelchairs. Wheelchairs is basically a chair fitted with wheels, which can help people move around who cannot walk because of illness, disability or injury. But there are many disabled people with weak limbs and joints who cannot move the wheelchair. Thus, Smart Wheelchair can benefit a lot to them and everyone in society. Smart Wheelchairs are electric powered wheelchairs with many extra components such as a computer and sensors which help the user or guardian accompanying wheelchair to handle it easily and efficiently. The recent development in the field of Artificial Intelligence, Sensor technologies and Robotics help the growth of wheelchairs with new features. This paper is to review the current state of art of Smart Wheelchairs and discuss the future research in this field.
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Cooper, R. A., L. M. Widman, D. K. Jones, R. N. Robertson, and J. F. Ster. "Force sensing control for electric powered wheelchairs." IEEE Transactions on Control Systems Technology 8, no. 1 (2000): 112–17. http://dx.doi.org/10.1109/87.817696.

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Nguyen, Cuong V., Minh T. Nguyen, Toan V. Quyen, Anh M. Le, Antonino Masaracchia, Ha T. Nguyen, Huy P. Nguyen, Long D. Nguyen, Hoa T. Nguyen, and Vinh Q. Nguyen. "Hybrid Solar-RF Energy Harvesting Systems for Electric Operated Wheelchairs." Electronics 9, no. 5 (May 2, 2020): 752. http://dx.doi.org/10.3390/electronics9050752.

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Over the decades, with the advancement of science and technology, wheelchairs have undergone remarkable changes, such as controlling an electrical wheelchair by using brain signals. However, existing electrical wheelchairs still need improvements in terms of energy management. This paper proposes an hybrid Solar-Radio frequency (RF) harvesting system able to supply power for the continuous and effective operation of electrically powered wheelchairs. This system can simultaneously harvest power from RF and solar source that are both available in the surrounding environment. A maximum power point tracking (MPPT) and a boost converter are exclusively employed for the standalone solar system while the standalone RF system is equipped with a 9-stage voltage multiplier (VM). The voltage level for the charging process is obtained by adding the output voltage of each source. In addition, a current booster and a stabilizer are used to reach the required level of current and pin the charging voltage to a stable level, respectively. Simulation results show how the hybrid system is better and more stable when the boost current and stabilizer are used in the charging system. Moreover, we also provide some analytic results to prove the advantages of this system.
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Hernandez-Ossa, Kevin A., Eduardo H. Montenegro-Couto, Berthil Longo, Alexandre Bissoli, Mariana M. Sime, Hilton M. Lessa, Ivan R. Enriquez, Anselmo Frizera-Neto, and Teodiano Bastos-Filho. "Simulation System of Electric-Powered Wheelchairs for Training Purposes." Sensors 20, no. 12 (June 24, 2020): 3565. http://dx.doi.org/10.3390/s20123565.

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For some people with severe physical disabilities, the main assistive device to improve their independence and to enhance overall well-being is an electric-powered wheelchair (EPW). However, there is a necessity to offer users EPW training. In this work, the Simcadrom is introduced, which is a virtual reality simulator for EPW driving learning purposes, testing of driving skills and performance, and testing of input interfaces. This simulator uses a joystick as the main input interface, and a virtual reality head-mounted display. However, it can also be used with an eye-tracker device as an alternative input interface and a projector to display the virtual environment (VE). Sense of presence, and user experience questionnaires were implemented to evaluate this version of the Simcadrom in addition to some statistical tests for performance parameters like: total elapsed time, path following error, and total number of commands. A test protocol was proposed and, considering the overall results, the system proved to simulate, very realistically, the usability, kinematics, and dynamics of a real EPW in a VE. Most subjects were able to improve their EPW driving performance in the training session. Furthermore, all skills learned are feasible to be transferred to a real EPW.
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Sakai, Misono, Takenobu Inoue, You Iwasaki, Yumiko Yoshida, Yuko Nakamura, Motonori Hoshino, Takashi Nakamura, Hideyuki Hirose, and Masami Akai. "Fitting electric powered wheelchairs to each person in Seating Clinic." Journal of Life Support Engineering 18, Supplement (2006): 23. http://dx.doi.org/10.5136/lifesupport.18.supplement_23.

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Silva, Yuri M. L. R., Vinicius da S. Souza, Eduardo L. M. Naves, Teodiano F. B. Filho, and Vicente F. de Lucena. "Teleoperation Training Environment for New Users of Electric Powered Wheelchairs." Procedia Computer Science 141 (2018): 343–50. http://dx.doi.org/10.1016/j.procs.2018.10.191.

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Dissertations / Theses on the topic "Electric powered wheelchairs"

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Wolm, Patrick. "Dynamic Stability Control of Front Wheel Drive Wheelchairs Using Solid State Accelerometers and Gyroscopes." Thesis, University of Canterbury. Mechanical Engineering, 2009. http://hdl.handle.net/10092/4451.

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While the active dynamic stability of automobiles has increased over the past 17 years there have been very few similar advances made with electrically powered wheelchairs. This lack of improvement has led to a long standing acceptance of less-than-optimal stability and control of these wheelchairs. Accidents due to loss of stability are well documented. Hence, the healthcare industry has made several efforts for improved control of electric powered wheelchairs (EPWs) to provide enhanced comfort, safety and manoeuvrability at a lower cost. In response, an area of stability control was identified that could benefit from a feedback control system using solid state sensors. To design an effective closed–loop feedback controller with optimal performance to overcome instabilities, an accurate model of wheelchair dynamics needed to be created. Such a model can be employed to test various controllers quickly and repeatedly, without the difficulties of physically setting a wheelchair up for each test. This task was one central goal of this research. A wireless test-bed of a front wheel drive (FWD) wheelchair was also developed to validate a dynamic wheelchair model. It integrates sensors, a data control system, an embedded controller, and the motorised mechanical system. The wireless communication ensures the integrity of sensor data collected and control signals sent. The test-bed developed not only facilitates the development of feedback controllers of motorised wheelchairs, but the collected data can also be used to confirm theories of causes of dynamic instabilities. The prototype test-bed performed the required tasks to satisfaction as defined by the sponsor. Data collected from live tests in which the test-bed followed set patterns, was processed and analysed. The patterns were designed to induce instability. The analysis revealed that an occupied wheelchair is more stable than an unoccupied wheelchair, disproving an initial instability theory proposed in this research. However, a proximal theory explaining over-steer is confirmed. Two models of the FWD test-bed were created. First, a dynamic model inherited from prior research, based on equations of motion was tested and enhanced based on measured data. However, even with alterations to correct parameter values and variables in the equations, a complete model validation was not possible. Second, a kinematic model was created with a factor to compensate for dynamics not normally accounted in kinematic models. The kinematic model was partially validated versus the measured data. Although, still highly accurate, there is room for improvement in this model. Both models contained a sub-system drive motor model, to account for input forces to the FWD wheelchair system model, which is fully validated.
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Pearlman, Jonathan Lee. "Research and development of an appropriate electric powered wheelchair for India." UNIVERSITY OF PITTSBURGH, 2012. http://pqdtopen.proquest.com/#viewpdf?dispub=3485872.

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Johansson, Jonas, and Daniel Petersson. "Torque Sensor Free Power Assisted Wheelchair." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-656.

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A power assisted wheelchair combines human power, which is delivered by the arms through the pushrims, with electrical motors, which are powered by a battery. Today’s electric power assisted wheelchairs use force sensors to measure the torque exerted on the pushrims by the user. The force sensors in the pushrims are rather expensive and this approach also makes the wheels a little bit clumsy. The objective with this project is to find a new, better and cheaper solution that does not use expensive force sensors in the pushrims. The new power assisted wheelchair will instead only rely on its velocity, which is measured with rotational encoders, as feedback signal and thereby the project name “Torque Sensor Free Power Assisted Wheelchair”.

The project consisted of two main parts; an extensive construction part, where an ordinary joystick controlled motorized wheelchair has been rebuild to the new power assisted wheelchair without torque sensors and a development part, where different torque sensor free controllers has been designed, simulated, programmed and tested.

The project resulted in a torque sensor free power assisted wheelchair, where the final implemented design is a proportional derivative controller, which gives a very good assisting system that is robust and insensitive to measurement noise. The proportional derivative control design gives two adjustable parameters, which can be tuned to fit a certain user; one parameter is used to adjust the amplification of the user’s force and the other one is used to change the lasting time of the propulsion influence.

Since the new assisting control system only relies on the velocity, the torque sensor free power assisted wheelchair will besides giving the user assisting power also give an assistant, which pushes the wheelchair, additional power. This is a big advantage compared to the pushrim activated one, where this benefit for the assistant is not possible.

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Clark, Laura L. "Design and Testing of a Quick-Connect Wheelchair Power Add-On Unit." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30289.

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A quick-connect wheelchair power add-on unit (PAU) has been developed at the Human Factors Engineering Center of Virginia Tech. The objective of the new invention is to provide an inexpensive, highly portable product which can quickly convert a manual wheelchair into a power-operated wheelchair. This dissertation details the three year research and design effort to develop the new wheelchair PAU. Results are presented from a series of evaluations conducted to identify performance and user-interaction characteristics of the PAU. Interpretation of the results provides a prioritized list of identified design deficiencies along with wheelchair expert and design team suggestions for the next generation of design alterations. The three evaluations conducted with the second generation PAU prototype include a series of wheelchair expert interviews, a PAU performance evaluation, and a usability evaluation which utilized wheelchair operators as subjects. Also included in the dissertation is an explanation of the need for a new PAU, a description of the most recent design iteration, a literature review containing information about the history of wheelchairs, the condition of the current PAU market, and an analysis of wheelchair PAU consumers. The new invention was conceived and patented by Dr. John G. Casali of the Industrial and Systems Engineering (ISE) Department at Virginia Tech. This research was supported jointly by Southwestern Applied Technologies, L. C., of Roanoke, Virginia and Virginia's Center for Innovative Technology in Herndon, Virginia.
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Guedira, Youssef. "Contribution to the Search of Alternative Solutions for Driving Electric Wheelchairs : the Case of Tactile Interaction." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS452.

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Le fauteuil roulant électrique constitue un moyen efficace permettant de retrouver une certaine mobilité pour de nombreuses personnes dans le monde. Malheureusement, certaines personnes en situation de handicap moteur et atteintes d’une perte de force musculaire peuvent avoir du mal à utiliser un fauteuil roulant électrique à cause de difficultés liées au maniement du joystick, dispositif usuel de pilotage du fauteuil. Cette thèse vise à proposer explorer une alternative au joystick pour des personnes atteintes de maladies neuromusculaires. Le travail de cette thèse s’intéresse plus particulièrement à l’interaction tactile. L’hypothèse est que l’interaction tactile peut offrir un pilotage fiable avec un niveau d’effort physique qui est tolérable par des personnes atteintes de maladies neuromusculaires. Dans cette perspective, nous avons développé une interface sur smartphone de pilotage de fauteuil roulant électrique qui offre de nombreuses possibilités de paramétrage permettant de la personnaliser selon le besoin de la personne. Cette interface a été conçue dans une démarche itérative centrée utilisateur. Dans chaque itération, différentes personnes souffrant d’une perte de mobilité ont pu tester l’interface de pilotage. Leurs retours alimentent les améliorations à apporter à l’interface dans l’itération d’après. Lors de la dernière itération dans le cadre de cette thèse, Une étude a été menée avec des utilisateurs atteints de maladies neuromusculaires au SSR le Brasset, avec l’aide de l’AFM Théléton. Ces participants ont pu s’approprier l’interface tactile et l’utiliser pour piloter leurs fauteuils roulants. Nous avons également comparé les performances de pilotage en utilisant l’interface tactile et le joystick dans différentes tâches quotidiennes (virage, slalom...). Les performances de ces patients avec l’interface tactile sont proches de celles du joystick. Par ailleurs, les remarques récoltées suggèrent que l’interface tactile exige moins d’effort physique que le joystick
The power wheelchair is an effective way to regain mobility for many people around the world. Unfortunately, some people with motor disabilities who also suffer from loss of muscle strength may find it difficult to use a power wheelchair. The reason is that they can experience difficulties related to the handling of a joystick, the standard wheelchair control device. This thesis aims to propose exploring an alternative to the joystick for people with neuromuscular diseases. The work of this thesis is particularly interested in tactile interaction. The hypothesis is that the tactile interaction can offer a reliable control with a level of physical effort which is tolerable by people suffering from neuromuscular diseases. In this perspective, we developed a wheelchair steering interface on smartphone. It offers many configuration possibilities allowing the customization according to the user's needs. This interface was designed in a user-centered, iterative approach. In each iteration, different people suffering from a loss of mobility were able to test the piloting interface. Their feedback feeds into improvements to the interface in the next iteration. During the last iteration as part of this thesis, a study was carried out with users suffering from neuromuscular diseases at the SSR Le Brasset, with the help of the AFM Théléton. These participants were able to take appropriate the use of the touch interface and use it to control their wheelchairs. We also compared the driving performance using the touch interface and the joystick in different daily tasks (cornering, slalom ...). The performance of these patients with the touch interface is close to that of the joystick. In addition, the comments collected suggest that the touch interface requires less physical effort than the joystick
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92-99394-9353. "Ambiente de treinamento por teleoperação para novos usuários de cadeiras de rodas motorizadas baseado em múltiplos métodos de condução." Universidade Federal do Amazonas, 2018. https://tede.ufam.edu.br/handle/tede/6608.

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Currently, diverse existing training environments help new users of electric powered wheelchairs (EPW) learn how to drive, acquaint and improve their abilities with these assistive devices. Several authors are developing such environments, and most of them use virtually simulated wheelchairs. Despite the similarities between virtual and real wheelchairs, it is easier to drive the real device because representation of the wheelchair physical behavior is still a problem for virtual simulated environments. Concerning the driving methods, most of them are based on a joystick, which does not give the opportunity for users to test, practice and acquaint themselves with new technologies, such as driving through eye movements. This work implements and tests a more realistic approach for a training environment dedicated to new users of EPW. The proposed system is based on a real EPW controlled by teleoperation, and it is flexible enough to attend to multiple driving methods. An architecture that allows a user to send command messages to control a real EPW through the Internet was implemented to validate the system. The implemented driving methods were conventional joystick, eye-tracker and a generic human-machine interface. For the system’s evaluation, scenarios were created considering the implemented driving methods, and also scenarios considering a long distance teleoperation. The experimental results suggest that new users can practice safely using a real EPW through the Internet, even in a situation with a communication delay of 130.2 ms (average). Furthermore, the proposed system showed potential for attending new EPW users with different types of disabilities and to be a low-cost approach that could be applied in developing countries.
Atualmente, diversos ambientes de treinamento existentes ajudam novos usuários de cadeira de rodas motorizada (CRM) a aprender a comandar, se familiarizar e aprimorar suas habilidades. Vários autores estão desenvolvendo esses ambientes, e a maioria deles está usando CRM virtualmente simulada. Apesar das semelhanças entre a CRM virtual e a real, observouse que é mais fácil comandar o dispositivo real. Isso ocorre porque nesses ambientes virtuais, a representação do comportamento físico da CRM ainda é um problema. Outro aspecto observado, foi a respeito dos métodos de condução, onde a maioria dos trabalhos utiliza apenas o joystick. Porém, esse método não oferece a oportunidade a usuários com deficiência severa de aprender a comandar a partir de novas tecnologias, como por exemplo, o rastreamento ocular. Para superar essas dificuldades, este trabalho propõe, implementa e valida uma abordagem mais realista, a qual é baseada em treinamento por teleoperação e por múltiplos métodos de condução. Foi implementada uma arquitetura que permite ao usuário enviar comandos remotamente para comandar uma CRM real a longas distâncias. Os métodos de condução implementados foram por joystick, eye-tracker e por meio de uma interface humanomáquina genérica. Para a avaliação do sistema, foram criados cenários considerando diferentes configurações. Os resultados experimentais sugerem que novos usuários podem praticar com segurança utilizando uma CRM real através da Internet, mesmo em uma situação com delay de 130,2 ms (média). O sistema proposto mostrou potencial em atender novos usuários de CRM com diferentes tipos de deficiência, bem como de ser uma abordagem de baixo custo com possibilidade de ser aplicada em países em desenvolvimento.
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Urbano, Maria Margarida Carreira Pires. "Contributions for adapting electric wheelchairs to people with reduced handling capabilities." Doctoral thesis, 2020. http://hdl.handle.net/10773/29884.

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The use of a commercial powered wheelchair during daily activities by people with motor limitations provides autonomy, increasing quality of life. For people with more severe restrictions, specifically reduced handling, the use of the powered wheelchair may be compromised as they cannot control the joystick with the required ability. This work is intended to give these people the ability to drive comfortably and safely their electric wheelchair. This proposal for adapting a commercial powered wheelchair has essentially two main objectives. The first one is to allow people who cannot drive a conventional powered wheelchair because they have muscle weakness in their upper limbs to do so. So, and to facilitate the wheelchair navigation, three modes of operation are proposed. Therefore, the adapted wheelchair controller must able translate the new impulses provided by the joystick, depending of the user abilities, in direction commands. Driving the powered wheelchair continuously can quickly become a stressor. Thus, the second goal is to ensure that during the powered wheelchair driving, its user always remains in a calm state, avoiding harming their well-being and their health. It is thus proposed to insert a system for monitoring the emotional state of the wheelchair user. The primary purpose of this system is to alert its user when he reached critical emotional levels, which makes it impossible to continue driving safely. In this situation the wheelchair controller becomes responsible for the wheelchair command. The implementation of the stress detection system was based in the galvanic skin response and heart rate sensors. With the acquired information, it was defined the user’s emotional profile and evaluated several algorithms classification to predict new emotional states. This system was tested by two users groups. The first group consisted of drivers driving cars and the second group consisted of tetraplegic people driving their powered wheelchair. For people without disabilities, it was confirmed through biometric signals that each person reacts differently to the same situations. This difference is most striking in the response of skin conductivity. For tetraplegic people, we concluded and confirmed, that the sympathetic nervous system response cannot be measured by galvanic skin response. Several classification algorithms were trained for stress detection in realtime. For each user, the best classifying model was found. We conclude that the best models vary from person to person and also depend on the number and type of predictors used. This work results from the collaboration of the University of Aveiro and the Centro de Reabilitação e Medicina da Região Centro - Rovisco Pais.
O uso de uma cadeira de rodas elétrica durante as atividades do quotidiano por pessoas com limitações motoras proporciona autonomia, aumentando qualidade de vida. No caso de pessoas com limitações mais severas, nomeadamente com manipulação reduzida, a utilização da cadeira de rodas elétricas pode estar comprometida, pois não conseguem controlar o joystick com a destreza necessária. Este trabalho pretende proporcionar a essas pessoas a possibilidade de conduzir a sua cadeira de rodas elétrica de uma forma confortável e segura. Esta proposta de adaptação de uma cadeira de rodas elétrica tem essencialmente dois grandes objetivos. O primeiro é permitir a pessoas que não conseguem conduzir uma cadeira de rodas elétrica convencional por sofrerem de fraqueza muscular nos membros superiores, o comecem a fazer. Assim, para facilitar a condução da cadeira, propõem-se três modos de operação. Além disso, o controlador da cadeira adptada vai ter que ter a capacidade de interpretar os novos impulsos dados no joystick, que dependem das capacidades de manipulação de cada utilizador, em comandos de direção. A condução da cadeira de forma consecutiva pode-se tornar rapidamente um fator de stress. Assim, o segundo objetivo ´e garantir que, enquanto a pessoa conduz a cadeira se mantenha sempre num estado calmo, evitando prejudicar o seu bem-estar e consecutivamente, a sua saúde. E assim proposto a integração de um sistema de monitorização do seu estado emocional durante a condução da cadeira. Este sistema tem como principal objetivo alertar o utilizador que este atingiu níveis emocionais críticos que inviabilizam a continuação da condução em segurança. Nesta situação, quem passa a ficar responsável pelo comando da cadeira é o próprio controlador da cadeira. A implementação do sistema baseou-se no uso de sensores de resposta galvânica e de batimento cardíaco. Com a informação adquirida por estes sensores, definiu-se o conceito de perfil emocional do utilizador e foram avaliados algoritmos de classificação de stress capazes de prever diferentes estados emocionais. Este sistema foi testado por dois grupos de utilizadores. O primeiro grupo foi composto por condutores a conduzirem automóveis e o segundo grupo foi composto por pessoas tetraplégicas, a conduzirem as cadeiras de rodas elétrica pessoais. Para pessoas sem deficiência confirmou-se, através dos sinais biométricos, que cada pessoa reage de forma diferente perante as mesmas situações. Esta diferença é mais flagrante na resposta da condutividade da pele. No que diz às pessoas tetraplégicas, confirmou-se que a resposta do sistema nervoso simpático não pode ser medida através da resposta galvânica da pele. Para a implementação da deteção de stress em tempo real foram usados diversos algoritmos de classificação. Para cada utilizador, foi encontrado o melhor modelo de classificação. Conclui-se que os melhores modelos variam de pessoa para pessoa e que também dependem do número e tipo de preditores utilizados. Este trabalho resulta da colaboração entre a Universidade de Aveiro e o Centro de Medicina de Reabilitação da Região Centro - Rovisco Pais.
Programa Doutoral em Engenharia Eletrotécnica
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Chen, Chi Fan, and 陳其凡. "A Study of Lightweight Electric Powered Wheelchair." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/61544775209681982202.

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碩士
大葉大學
車輛工程學系碩士班
96
Due to the aging of our society, the electric powered wheelchairs become more and more needed. However, the electric powered wheelchairs on the market currently are bulky, heavy, and costly. The present thesis focuses on the feasibility of converting a self-propelled wheelchair into a lightweight electric powered wheelchair by adding a hub motor to one of its rear wheels. The commercial code ADAMS was used to predict the motion of the wheelchair and a lightweight electric powered wheelchair was fabricated to perform the road test. The results show that the outcomes of simulations and road tests are in good agreement and this lightweight electric powered wheelchair is feasible and deserves further development and commercialization
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Yang, Chih-Yuan, and 楊智淵. "Realization of a Motion Control IC for Electric-Powered Wheelchair." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/82576460812129079272.

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碩士
南台科技大學
電機工程系
98
This thesis is mainly based on the technology of SoPC (System on a Programmable Chip) which can embedded a Nios II soft core in an FPGA (Field Programmable Gate Array), to implement a motion control IC for electric wheelchair. This electric wheelchair herein is run by two DC rim motors and a fuzzy controller is applied in speed loop of motor drive to cope with the uncertainly and external load problems. The motion control IC has two modules. One is Nios II processor IP (Intelligent properties) which is used to perform the function of motion trajectory and the data communication with control panel and generation of differential speed command; and the other is an application IP which is utilized to execute the function of PWM (Pulse width modulation) generation, QEP (Quadrature encoder pulse) signal detection, fuzzy controller scheme and speed loop controller, trapezoidal speed command generator. Therefore, a fully digital motion controller for electric wheelchair can be realized within one FPGA chip. Finally, an experimental system, which is composed of the DE2 (Cyclone II EP2C35F672C6) with FPGA basis, two inverters, one control panel, and one platform for electric wheelchair, is set up to prove the efficiency and correctness of the proposed motion control IC.
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Hsu, Ching-Yuan, and 許景淵. "Power Module of Electrical Wheelchair With Electrical Differential." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/23145713765412161871.

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碩士
國立臺灣大學
機械工程學系
85
This research develops an electrical differential for electrical wheelchairs with two motors instead of mechanical differential. The steering function is achieved by the control of differential speed between two motors, whose comm- ands are generated by a simplified differential formula. A digital full- bridge PWM (Pulse Width Modulation) motor driver and a single board controller with the PI control law is designed and implemented with the motorized wheelchair. The performance of the electrical wheelchair is tested successfully with simu- lations and experiments.
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Books on the topic "Electric powered wheelchairs"

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Furumasu, Jan. Pediatric Powered Mobility: Developmental Perspectives, Technical Issues, Clinical Approaches. Rehabilitation Engineering Society of North A, 1997.

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Jan, Furumasu, ed. Pediatric powered mobility: Developmental perspectives, technical issues, clinical approaches. Arlington, VA: RESNA/Rehabilitation Engineering and Assisteive Technology Society of North America, 1997.

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Book chapters on the topic "Electric powered wheelchairs"

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Panzarella, Tom, Dylan Schwesinger, and John Spletzer. "CoPilot: Autonomous Doorway Detection and Traversal for Electric Powered Wheelchairs." In Springer Tracts in Advanced Robotics, 233–48. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27702-8_16.

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Hernandez-Ossa, K. A., E. H. Montenegro-Couto, B. Longo, A. Frizera-Neto, and T. Bastos-Filho. "Virtual Reality Simulator for Electric Powered Wheelchairs Using a Joystick." In XXVI Brazilian Congress on Biomedical Engineering, 729–36. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2119-1_112.

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Boubekeur, Djamila, Zaki Sari, Abdelmadjid Boumédiène, and Souad Tahraoui. "A Novel State Representation of Electric Powered Wheelchair." In Lecture Notes in Electrical Engineering, 60–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48929-2_5.

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Tahraoui, S., M. Z. Baba Ahmed, F. Benbekhti, and H. Habiba. "Robust Residuals Generation for Faults Detection in Electric Powered Wheelchair." In Lecture Notes in Networks and Systems, 535–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37207-1_57.

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Chen, Pei-Chung, Xiao-Qin Li, and Yong-Fa Koh. "Estimation of Residual Traveling Distance for Power Wheelchair Using Neural Network." In Lecture Notes in Electrical Engineering, 43–49. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17314-6_6.

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Liu, Jizhong, Xuepei Wu, Jiating Xia, Guanghui Wang, and Hua Zhang. "Visual Navigation of a Novel Economical Embedded Multi-mode Intelligent Control System for Powered Wheelchair." In Lecture Notes in Electrical Engineering, 503–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12990-2_58.

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Ahmed, Syed Musthak, Ayesha Shireen, B. Jagadeesh Babu, and Shruti. "Powered Wheelchair for Mobility with Features to Address Physical Strength, Cognitive Response, and Motor Action Development Issues." In Lecture Notes in Electrical Engineering, 1110–17. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1420-3_121.

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Kheng, Yen, and Sangit Sasidhar. "Engineering Better Electric-Powered Wheelchairs To Enhance Rehabilitative and Assistive Needs of Disabled and Aged Populations." In Rehabilitation Engineering. InTech, 2009. http://dx.doi.org/10.5772/7389.

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Okafor, Patrick Uche, Ndidi Stella Arinze, Osondu Ignatius Onah, and Ebenezer Nnajiofo Ogbodo. "Development of Solar-Powered Microcontroller-Relay-Based Control System Omnidirectional Wheelchair." In Handbook of Research on 5G Networks and Advancements in Computing, Electronics, and Electrical Engineering, 181–91. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6992-4.ch007.

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A solar-powered omnidirectional wheelchair is implemented for physically challenged persons. The framework was mounted on the wheels that were connected with two direct current (DC) motors. The ratings of the battery and solar module were determined using system voltage (12V). A 7,805-voltage regulator was used to supply 5VDC to the AT89352 microcontroller. The microcontroller was programmed to provide a reference signal to the motor. The motor provides the needed torque to drive the wheels through interconnected relays. The relays are energized by the microcontroller and omnidirectional movement achieved through relays connected with microprocessor and micro switches, eliminating the need for joysticks and complex control mechanisms. System performance test result showed that the auxiliary solar power supply of the wheelchair increased the travel range by approximately 86% compared with that of a wheelchair powered by battery alone.
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Geonea, Ionut Daniel, Nicolae Dumitru, Cezar Alin Ungureanu, and Gheorge Catrina. "Design of a Transmission for a Electric Powered Wheelchair." In DAAAM Proceedings, 0477–78. DAAAM International Vienna, 2011. http://dx.doi.org/10.2507/22nd.daaam.proceedings.237.

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Conference papers on the topic "Electric powered wheelchairs"

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Miller, Christopher, Kelilah Wolkowicz, Jariullah Safi, and Sean N. Brennan. "State of Charge Estimation for an Electric Wheelchair Using a Fuel Gauge Model." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9802.

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Electric wheelchair users depend on a reliable power system in order to regain mobility in their daily lives. If a wheelchair’s battery power depletes without the user being aware, the individual may become stranded, further limiting their freedom of mobility and potentially placing the user in a harmful situation. This research seeks to develop a State-of-Charge (SOC) estimator for the batteries of an electric wheelchair. A second-order equivalent circuit battery model is developed and parameterized for a wheelchair’s lead-acid battery pack. To simplify the SOC estimation, this algorithm models a vehicle’s fuel gauge. A coulomb accumulator is incorporated to estimate energy usage in the non-linear region of the OCV-SOC curve, while a Kalman filter is used to estimate SOC in the linear region of the curve. The estimator is verified using experimentally collected data on-board a robotic wheelchair. The implementation of these algorithms with powered wheelchairs can significantly improve the estimation of wheelchair battery power and can ultimately be coupled with warning systems to alert users of depleting battery life, as well as enable low-power modes to increase wheelchair user safety.
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Rabhi, Y., M. Mrabet, and F. Fnaiech. "Optimized joystick control interface for electric powered wheelchairs." In 2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2015. http://dx.doi.org/10.1109/sta.2015.7505092.

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Gosain, Divya, Divya Jyoti, Divya Asiwal, Shankar Singh, Sachin Maheshwari, and Sachin Kumar Agarwal. "Design and Development of a Foot Controlled Mobility Device." In ASME 2007 2nd Frontiers in Biomedical Devices Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/biomed2007-38011.

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In the recent years, the focus of ever-progressing scientific and technological advancements is continuously drifting towards the rehabilitation engineering. The development in the field of “mobility aid” has led to research, which has transformed conventional manual attendant-style wheelchairs to electric-powered wheelchairs with improved control through joysticks, sensors and micro-controllers. Consumers with limited mobility (pain in legs, permanent injury etc.) and elderly users, who cannot independently operate a powered wheelchair due to their hands impairment, have to rely upon third-party assistance during transfers to secure their wheelchair. Most ‘Mobility Assistance Equipment’ manufacturers for the orthopaedically handicapped individuals have not been able to adequately address such problems. With mobility being a key factor in all aspects of human life, this project proposes a design to allow hands impaired people, who cannot walk to orient themselves in, and navigate through, complex environments with the help of foot controlled wheel chair. This paper presents design and development of a battery-powered wheelchair that will be operated by foot controls, based upon the need assessments of such consumers. The Electronic System is a basic speed control circuit designed and provides for four motion configurations — reverse, stop, slow, and fast.
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Velazquez, R., and C. A. Gutierrez. "Modeling and control techniques for electric powered wheelchairs: An overview." In 2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV). IEEE, 2014. http://dx.doi.org/10.1109/concapan.2014.7000435.

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Silva, Yuri, Walter Simoes, Mauro Teofilo, Eduardo Naves, and Vicente Lucena. "Training environment for electric powered wheelchairs using teleoperation through a head mounted display." In 2018 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2018. http://dx.doi.org/10.1109/icce.2018.8326101.

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Ayten, Kagan Koray, Ahmet Dumlu, and Aliriza Kaleli. "Real-time trajectory tracking control for electric-powered wheelchairs using model-based multivariable sliding mode control." In 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE). IEEE, 2017. http://dx.doi.org/10.1109/iseee.2017.8170636.

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Choi, Jin, Yuk Lai, Nathan Harrison, and Robert Curiel. "The Design of a Universal Autonomous Power Tray." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/rsafp-8861.

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Abstract Several accessories have been developed to aid the wheelchair-confined individual in retaining their social independence. However, after a comprehensive study it was determined that a device, which would automatically extend the immediate reach of the handicapped individual, could not be easily added to such currently existing wheelchairs. We proposed a device that could easily be attached to the back of the electric wheelchair. This unit contains all necessary hardware to support the movement of an actuating arm whose intent is to automatically deliver and retrieve objects outside the person’s immediate reach. In addition, the unit does not significantly exceed the dimensions of the chair so as to not obstruct its normal use. To maximize our efforts, we re-evaluated the creativity of its construction: This was done to optimize its durability, reliability, and ultimately lower its construction cost. The ease of its manufacturing supports our intent for a universal application so that all handicapped individuals could benefit from this device as an after-market electric wheelchair accessory. Achieving these types of functions required the development of two pneumatic telescoping arms that can match and overcome its maximum load of 15 lb., and an electrical control system that both develops arid defines all object motions. A comprehensive static and dynamic analysis was performed to, determine the forces governing the motion of the arm as well as to predict its operating speed and direction. This analysis also tests the boundaries of our control system. This information allowed us to determine the range and limitations that defined the electrical as well as mechanical components of this system.
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Lengua, Ismael, Benedikt Prusas, Karim Mansoor, Lorenz Engelhardt, Saku Pirtilä, Bas Walgers, Louisa Lukoschek, María Moncho-Santonja, and Guillermo Peris-Fajarnés. "Utilization of consumer electronics for an economically affordable motorized wheelchair." In INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10224.

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A design (sketch) of a prototype electric scooter adaptable to a wheelchair is proposed. A mechanism that allows adapting an electric power unit to a conventional wheelchair is presented. The aim of this design is to create an economic solution to motorize a wheelchair and support the independent mobility of wheelchair users. This is especially relevant as the number of wheelchair users is increasing. The device consists of a self-balancing scooter, serving as the power unit, which is replacing the main wheels of the wheelchair and a metal link, connecting it to the wheelchair. The steering is controlled with two sticks, which directly exerts pressure on the sensor pad and steering unit of the self-balancing scooter. By using a self-balancing scooter and hardware store materials the costs can be kept low and accessible to many people.
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Chuy, Oscar, Emmanuel G. Collins, Camilo Ordonez, Jorge Candiotti, Hongwu Wang, and Rory Cooper. "Slip mitigation control for an Electric Powered Wheelchair." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6906632.

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Qiu Jinhui, Wang Zhongjie, Yang yang, Yang Lili, and Sun Xiaoyun. "Research of electrical powered wheelchair control system." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5620010.

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