Powered Wheelchair Platform for Assistive Technology Development

Henderson, Martin; Kelly, Stephen W.; Horne, Robert; Gillham, Michael; Pepper, Matthew G.; Capron, Jean-Marc

doi:10.1109/est.2014.20

Cited by 10 publications

(10 citation statements)

References 11 publications

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“…W. Switzerland [49] Fribourg, Switzerland 2012 University of Sydney [50] Sydney, Australia 2012 Case Western Reserve [51] Ohio, USA 2013 Hefestos [52] Sao Leopoldo, Brazil 2013 Indian Institute of Technology [53] Jodhpur, India 2013 Institute of Engg. & Technology [54] Ghaziabad, India 2013 ATRII [55] Kansai, Japan 2013 Chonnam National University [56] Gwangju, S. Korea 2013 King Abdulaziz University [57] Jeddah, Saudi Arabia 2013 U. of Alabama, Huntsville [58] Alabama, USA 2013 U. of Texas, Arlington [59] Texas, USA 2013 B.M.S College of Engineering [60] Bangalore, India 2014 Kumamoto University [61] Kumamoto, Japan 2014 Saitama University [62] Saitama, Japan 2014 LURCH [63] Chennai, India 2014 Integral Rehabilitation Center [64] Orizaba, Mexico 2014 University of Kent [65] Canterbury UK 2014 University of Lorraine [8] Metz, France 2014 Uni. Politecnica delle Marche [66] Ancona, Italy 2014 University Tun Hussein Onn [67] Malaysia 2014 Northwestern University [68] Illinois, USA 2014 UMBC [69] Maryland, USA 2014 Smile Rehab [70] Greenham, UK 2015 University of Nevada, Reno [26] Nevada, USA 2015 [11] interfaces and wheelchair interfaces adapted to the user's characteristics.…”

Section: Description Locationmentioning

confidence: 99%

“…Henderson et al 2014 [65] are providing researchers with an embedded system that is fully compatible, and communicates seamlessly with current manufacturer's wheelchair systems. Their system is not commercially available, but researchers can mount various inertial and environmental sensors, and run guidance and navigation algorithms which can modify the human desired joystick trajectory, to help users avoid obstacles, and move from room to room.…”

Section: E Commercializationmentioning

confidence: 99%

See 1 more Smart Citation

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

Leaman

2017

IEEE Trans. Human-Mach. Syst.

183

109

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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: Description Locationmentioning

confidence: 99%

Section: E Commercializationmentioning

confidence: 99%

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

Leaman

2017

IEEE Trans. Human-Mach. Syst.

183

109

View full text Add to dashboard Cite

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“…The wireless sEMG sensor prototyping platform measures 13x10 cm 2 and is designed to be used with wet Ag/AgCl electrodes with shielded leads and low-cost commercial off-theshelf components. It is powered by 4 AAA Li batteries, which ensures a 22h autonomy (Figure 9).…”

Section: Measured Performancesmentioning

confidence: 99%

“…Smart devices for rehabilitation represent a huge step forward in creating favourable living conditions for persons with disabilities [1]. Powered wheelchairs [2], smart prostheses [3], dedicated assistive robotic tools for therapy and assistance [4] are powerful Extrinsic Enablers (EE) that increase the life autonomy of their users [5].…”

mentioning

confidence: 99%

Wireless sEMG-Based Body–Machine Interface for Assistive Technology Devices

Fall

Gagnon-Turcotte

Dube

et al. 2017

IEEE J. Biomed. Health Inform.

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Assistive technology (AT) tools and appliances are being more and more widely used and developed worldwide to improve the autonomy of people living with disabilities and ease the interaction with their environment. This paper describes an intuitive and wireless surface electromyography (sEMG) based body-machine interface for AT tools. Spinal cord injuries at C5-C8 levels affect patients' arms, forearms, hands, and fingers control. Thus, using classical AT control interfaces (keypads, joysticks, etc.) is often difficult or impossible. The proposed system reads the AT users' residual functional capacities through their sEMG activity, and converts them into appropriate commands using a threshold-based control algorithm. It has proven to be suitable as a control alternative for assistive devices and has been tested with the JACO arm, an articulated assistive device of which the vocation is to help people living with upper-body disabilities in their daily life activities. The wireless prototype, the architecture of which is based on a 3-channel sEMG measurement system and a 915-MHz wireless transceiver built around a low-power microcontroller, uses low-cost off-the-shelf commercial components. The embedded controller is compared with JACO's regular joystick-based interface, using combinations of forearm, pectoral, masseter, and trapeze muscles. The measured index of performance values is 0.88, 0.51, and 0.41 bits/s, respectively, for correlation coefficients with the Fitt's model of 0.75, 0.85, and 0.67. These results demonstrate that the proposed controller offers an attractive alternative to conventional interfaces, such as joystick devices, for upper-body disabled people using ATs such as JACO.

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“…There is a clear gap in the research-to-market chain of development, almost no publications on the subject, according to Garcia [3]. Previous work [3,4] undertaken to bridge this gap used existing development hardware and sought to develop a proof-ofconcept system; however there were significant issues relating to full system integration due to unknown delays and input signal response timing in the existing powered wheelchair system, sensor and node latency, ranging data rates, cost and size [4].…”

Section: Introductionmentioning

confidence: 99%