A novel multipurpose smart wheelchair

Rathore, Deepesh K.; Srivastava, Preeti Wanti; Pandey, Sankalp; Jaiswal, Sudhanshu

doi:10.1109/sceecs.2014.6804529

Cited by 30 publications

(5 citation statements)

References 4 publications

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“…To accommodate the population of individuals who find it difficult or impossible to operate a PW, several researchers have used technologies originally developed for mobile robots to create smart wheelchairs [4], [6]- [9]. A smart wheelchair (SW) typically consists of either a standard PW base to which a computer and a collection of sensors have been added, or a mobile robot base to which a seat has been attached [10].…”

Section: Introduction and Review Methodologymentioning

confidence: 99%

“…One of the downsides of the earlier work in SWs and autonomous driving [4], [6], [10], [11], [32], [115]- [117], [161]- [163] has been that the environment had to be permanently modified in order for the wheelchair to navigate independently. Future research plans should focus on developing novel navigation algorithms to allow SWs to autonomously and safely navigate in complex environments.…”

Section: A Autonomous Navigationmentioning

confidence: 99%

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A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

Leaman

2017

IEEE Trans. Human-Mach. Syst.

181

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Abstract-A smart wheelchair (SW) is a power wheelchair (PW) to which computers, sensors, and assistive technology are attached. In the past decade, there has been little effort to provide a systematic review of SW research. This paper aims to provide a complete state-of-the-art overview of SW research trends. We expect that the information gathered in this study will enhance awareness of the status of contemporary PW as well as SW technology, and increase the functional mobility of people who use PWs. We systematically present the international SW research effort, starting with an introduction to power wheelchairs and the communities they serve. Then we discuss in detail the SW and associated technological innovations with an emphasis on the most researched areas, generating the most interest for future research and development. We conclude with our vision for the future of SW research and how to best serve people with all types of disabilities.

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Section: Introduction and Review Methodologymentioning

confidence: 99%

Section: A Autonomous Navigationmentioning

confidence: 99%

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

Leaman

2017

IEEE Trans. Human-Mach. Syst.

181

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“…To overcome these difficulties of operating a power wheel chairs, it led researchers to utilize technologies for the innovative development of mobile robots in creating a smart wheelchair [3], [4]. A Smart Wheelchair (SW) essentially is made up of a basic power wheel chair base in addition to a computing control with a combination of the needful, or a seat mounted on a mobile robot [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of a Machine Learning Assisted Smart Wheelchair in an IoT Environment

Varghese¹,

Ss²,

Sundar³

2021

Preprint

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Gesture controlled wheelchair is designed and intended to perform specific job functions combining software interfacing with the hardware along with the embedded electronics, through hand controlled gestures. In this paper, a novel multiple control option-based wheelchair is proposed to cater to the needs of handicapped patients and senior citizens. This work is aimed at designing, integrating, coding, interfacing and testing a fully motorized, gesture controlled wheelchair which involves the physical implementation of the hardware, the software interfacing and testing. This Smart wheelchair is furnished with sensors, interactive cameras controlled by a processor unit that can control the various tasks it is designed to perform. The proposed Smart Wheelchair utilizes micro-electro-mechanical-system (MEMS) accelerometers to recognize various hand gestures performing a specific task. It is an accelerometer-based system which controls a robotic arm wirelessly using a small, low-cost, 3-axis degrees of freedom accelerometer through RF signals. The gestures are also trained by machine learning to identify the training patterns by choosing the appropriate mode selection. The hand gestures are thus based on motion sensor and pattern recognition. Apart from these hand gestures, the smart wheelchair can also be controlled by an android mobile app through a smartphone or by a hand held device that can navigate the smart wheelchair in the forward, backward, right, left directions and also perform a stop operation. The Smart Wheelchair also detects an obstruction present on the way of navigation and is operated in accordance with the command. An interactive camera equipped with a microphone and speaker is meant for communication for the elderly for sending and receiving voice commands remotely. The camera can be accessed through an IoT environment which can be communicated on remote IP addresses on smartphones and personal computers. There are two Arduino Uno Rev3 Controller modules programmed to control the gestures of the gyroscopic accelerometer and other control methods based on a mode selection switch held by the user. The proposed methodology is also realized by Proteus, a simulation tool to check its practical credibility. The proposed circuitry is physically realized as a Smart Wheelchair prototype implemented with the above multi control which could be modified as any physical structure platform having two wheels.

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“…However, this is not the optimal choice for elderly persons and both legs and arm disabled persons, which could not have the sufficient strength to propel themselves. On the other hand, EWs offer a completely different approach, enabling users to control and navigate their wheelchair independently using a traditional joystick or alternative control systems, such as head joysticks, chin joysticks, sip-n-puff, and thought control [3][4][5][6][7]. Therefore, EW can be labelled as the best option at an affordable price.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Solar-RF Energy Harvesting Systems for Electric Operated Wheelchairs

Nguyen

Quyen

et al. 2020

Electronics

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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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A novel multipurpose smart wheelchair

Cited by 30 publications

References 4 publications

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

Design and Implementation of a Machine Learning Assisted Smart Wheelchair in an IoT Environment

Hybrid Solar-RF Energy Harvesting Systems for Electric Operated Wheelchairs

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