Design and development of voice/joystick operated microcontroller based intelligent motorised wheelchair

Singh, Hirdaypal; Mobin, Abdul; Kumar, Sandeep; Chauhan, Sachin; Agrawal, Sawan

doi:10.1109/tencon.1999.818738

Cited by 5 publications

(4 citation statements)

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“…With the continuous development of interdisciplinary integration, researchers are making progress in the field of rehabilitation robots. It can be predicted that the vision of human–machine integration will be realized soon ( 44 , 45 ).…”

Section: Discussionmentioning

confidence: 99%

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Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020

Xue

Yang

Deng

et al. 2022

Front. Public Health

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Background: In recent years, with the development of medical science and artificial intelligence, research on rehabilitation robots has gained more and more attention, for nearly 10 years in the Web of Science database by journal of rehabilitation robot-related research literature analysis, to parse and track rehabilitation robot research hotspot and front, and provide some guidance for future research.Methods: This study employed computer retrieval of rehabilitation robot-related research published in the core data collection of the Web of Science database from 2010 to 2020, using CiteSpace 5.7 visualization software. The hotspots and frontiers of rehabilitation robot research are analyzed from the aspects of high-influence countries or regions, institutions, authors, high-frequency keywords, and emergent words.Results: A total of 3,194 articles were included. In recent years, the research on rehabilitation robots has been continuously hot, and the annual publication of relevant literature has shown a trend of steady growth. The United States ranked first with 819 papers, and China ranked second with 603 papers. Northwestern University ranked first with 161 publications. R. Riener, a professor at the University of Zurich, Switzerland, ranked as the first author with 48 articles. The Journal of Neural Engineering and Rehabilitation has the most published research, with 211 publications. In the past 10 years, research has focused on intelligent control, task analysis, and the learning, performance, and reliability of rehabilitation robots to realize the natural and precise interaction between humans and machines. Research on neural rehabilitation robots, brain–computer interface, virtual reality, flexible wearables, task analysis, and exoskeletons has attracted more and more attention.Conclusions: At present, the brain–computer interface, virtual reality, flexible wearables, task analysis, and exoskeleton rehabilitation robots are the research trends and hotspots. Future research should focus on the application of machine learning (ML), dimensionality reduction, and feature engineering technologies in the research and development of rehabilitation robots to improve the speed and accuracy of algorithms. To achieve wide application and commercialization, future rehabilitation robots should also develop toward mass production and low cost. We should pay attention to the functional needs of patients, strengthen multidisciplinary communication and cooperation, and promote rehabilitation robots to better serve the rehabilitation medical field.

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Section: Discussionmentioning

confidence: 99%

“…The research on rehabilitation robots can be traced back to the 1960s, but the development was relatively slow due to It can be predicted that the vision of human-machine integration will be realized soon (44,45).…”

Section: International Research Status Of Rehabilitation Robotsmentioning

confidence: 99%

Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020

Xue

Yang

Deng

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

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“…For instance, the high-priced motion controllers like PG Drives Technology [1] produced by United Kingdom or the Dynamic controller[2] produced by New Zealand make the production cost too high for the public to afford. Nowadays, the academic researches on electric wheelchairs have been grown up [3][4][5][6][7][8][9][10]; however, these researches still have some drawbacks. For example, the often used DC motors as the actuators for electric wheelchairs might cause the electric wheelchairs heavy and bulky.…”

Section: Introductionmentioning

confidence: 99%

Realization of a motion control IC for electric-powered wheelchair

Kung

Wang

Yang

2010

2010 8th IEEE International Conference on Industrial Informatics

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This work is mainly to implement a motion control IC for electric wheelchair based on the novel FPGA (Field Programmable Gate Array) technology, which a Nios ll soft core processor can be embedded into FPGA to construct an SoPC (System on a Programmable Chip) environment. This electric wheelchair herein is driven by two DC rim motors and a fuzzy controller is applied in speed loop of each motor drive to cope with the system uncertainty 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 for electric-powered wheelchair and the data communication with control panel; 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, and speed loop fuzzy controller for two DC rim motors. 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 (CycloneII EP2C35F672C6) with FPGA basis, two inverters, and one platform for electric wheelchair, is set up to prove the efficiency and correctness of the proposed motion control IC.I.

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“…It's used as examples in a wide spectrum of applications such as auto assembly plant, data handling and acquisition systems, control, robotic control, and smart sensor systems. Moreover, special components for speech processing have been emerged in the last decade and implemented in various application fields [3]- [5]. This is due to various studies made in the last few years which led to good results in both research and commercial applications.…”

Section: Introductionmentioning

confidence: 99%

New speech processor and ultrasonic sensors based embedded system to improve the control of a motorised wheelchair

Fezari

Khati

2008

2008 3rd International Design and Test Workshop

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This paper describes a design of an embedded system used to facilitate the control of a wheelchair. Wheelchair users are able to operate a joystick to control the chair, however many more severely handicapped users need some other means of controlling this type of robot. The designed system is based on grouping a microcontroller with a new voice recognition processor for isolated word and speaker dependent and a set of ultrasonic modules. The resulting design is used to control a wheelchair for a handicapped individuals based on a vocal command. The input of the system are a set of eight Arabic words used to control the movement of an electric wheelchair, a vector of information on the context given by a set of sensors and a joystick for security actions; The output is a corresponding command and a set of indicator LED (Light Emitting Diodes). The system is developed in order to be installed on the wheelchair. Therefore it should be easy to carry, no bulky, with low power consumption, and easy in operation.

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Design and development of voice/joystick operated microcontroller based intelligent motorised wheelchair

Cited by 5 publications

References 0 publications

Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020

Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020

Realization of a motion control IC for electric-powered wheelchair

New speech processor and ultrasonic sensors based embedded system to improve the control of a motorised wheelchair

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