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A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future
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 PWs 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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“Head tracking is used ubiquitously in HCI applications, including assistive technologies (as an example, powered wheelchairs operated by head gestures are common [89]).”
From Hands-Free Accessible Digital Musical Instruments: Conceptual Framework, Challenges, and Perspectives (2020) · cites this paper as [89]
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Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y. C., de Visser, E. J., & Parasuraman, R. (2011) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720811417254 · Cited by 2,051
Flagged first, then by citations
Research works printed but not linked: 148
- 10.1109/ROBOT.2004.1307142 · DOI
- 10.1007/978-3-662-44791-8_15 · DOI
- 10.1109/TASL.2006.881703 · DOI
- 10.1016/S0166-2236(98)01260-0 · DOI · Paper page
- 2014, Emotive Sens
- 10.1109/AIPR.2013.6749333 · DOI
- 10.1109/100.924355 · DOI
- miyazaki, 0, Guide following control using laser range sensor for a smart wheelchair, Proc ICROS-SICE Int Joint Conf, 4613
- 10.1109/ROBOT.2005.1570853 · DOI
- 10.1682/JRRD.2007.01.0015 · DOI
- 10.1109/ROBOT.1990.126145 · DOI
- 10.1109/ICSMC.1993.385072 · DOI
- 10.1109/TSMCB.2011.2181833 · DOI
- 10.1109/ROBOT.2008.4543814 · DOI
- 10.1109/IEMBS.2007.4353411 · DOI
- gao, 2007, Performance characterization of Lidar based localization for docking a smart wheelchair system, Proc IEEE/RSJ Int Conf Intell Robots Syst, 1
- 10.1109/MFI.2016.7849501 · DOI
- yukselir, 2012, The brains behind the electric wheelchair, one of Canada's ‘great artifacts’, Globe and Mail
- 10.5195/HCS.2013.136 · DOI
- 10.1155/2012/921982 · DOI
- leaman, 2015, iChair: Intelligent powerchair for severely disabled people, Proc ISSAT Int Conf Model Complex Syst Environ, 1
- 10.1109/ICORR.2013.6650496 · DOI
- 10.1145/2658861.2658873 · DOI
- 10.1155/2014/172434 · DOI
- 10.1179/otb.2014.69.1.012 · DOI
- 10.1109/IIAI-AAI.2014.172 · DOI
- 10.1177/0018720812443826 · DOI
- riek, 0, A code of ethics for the human-robot interaction profession, Proceedings of We Robot, 1
- 10.1007/978-3-319-07230-2_49 · DOI
- 10.1007/s00366-012-0274-x · DOI
- 10.1145/2504335.2504339 · DOI
- 10.1109/BSN.2013.6575460 · DOI
- fattouh, 2013, Emotional BCI control of a smart wheelchair, Int J Comput Sci Issues IJCSI, 10, 32
- 10.1109/ICITCS.2013.6717883 · DOI
- 10.1109/IROS.2013.6696743 · DOI
- 10.1109/GHTC-SAS.2013.6629911 · DOI
- 10.1145/2506095.2506140 · DOI
- 10.1145/2504335.2504336 · DOI
- 10.1109/ISIEA.2009.5356324 · DOI
- 10.1007/978-3-319-10891-9_1 · DOI
- 10.1109/TASE.2013.2294687 · DOI
- lim, 0, Developing a crack inspection robot for bridge maintenance, Proc IEEE Int Conf Robot Autom, 6288
- 10.1007/978-3-319-05951-8_52 · DOI
- pretz, 2013, Building smarter wheelchairs. making life easier for people can't walk, The Institute - The IEEE News Source
- 10.1109/100.924353 · DOI
- 2009, Code of Federal Regulations—Part 46—Protection of Human Subjects
- 10.1007/s11370-014-0149-7 · DOI
- 10.1109/TePRA.2013.6556380 · DOI
- 10.1109/SCEECS.2014.6804529 · DOI
- 10.1109/iww-BCI.2014.6782550 · DOI
- 10.7326/0003-4819-156-2-201201170-00010 · DOI
- 10.1109/TSMC.2013.2287792 · DOI
- 10.1109/BRC.2012.6222185 · DOI
- yayan, 2014, Development of indoor navigation software for intelligent wheelchair, Proc IEEE Int Symp Innovations Intell Syst Appl Proc, 325
- 10.1109/IROS.2014.6943272 · DOI
- balaguer, 2011, SULTAN: Simultaneous user learning and task execution, and its application in assistive robotics, Proc IROS Workshop New Emerg Technol Assistive Robot, 1
- 10.1109/ETFA.2011.6059222 · DOI
- tang, 0, Develop. of a navigation system for semi-autonomous operation of wheelchairs, Proc IEEE/ASME Int Conf Mechatronics Embedded Syst Appl, 257
- 10.1109/ICRA.2012.6225349 · DOI
- veno, 0, Design and control for collision avoidance of power-assisted omni-directional mobile wheelchair system, Proc IEEE/SICE Int Symp Syst Integr, 902
- 10.1109/HSI.2011.5937345 · DOI
- giesbrecht, 2015, Rehab on wheels: A pilot study of tablet-based wheelchair training for older adults, JMIR Rehabil Assist Technol, 2, 1, 10.2196/rehab.4274 · DOI
- viswanathan, 2011, Adaptive navigation assistance for visually-impaired wheelchair users, Proc IROS Workshop New Emerg Technol Assistive Robot, 1
- li, 0, Dynamic shared control for human-wheelchair cooperation, Proc IEEE Int Conf Robot Autom, 4278
- 10.1109/IROS.1991.174452 · DOI
- takano, 0, Multiple robotic wheelchair system based on the observation of circumstance, Proc 13th Japan-Korea Joint Workshop on Frontiers of Computer Vision, 222
- 10.1109/EMBC.2013.6610332 · DOI
- 10.1109/ISIE.2011.5984270 · DOI
- 10.1142/S0218213009000226 · DOI
- 10.5772/38824 · DOI
- 10.1109/ICORR.2009.5209573 · DOI
- 10.1163/1568553041257431 · DOI
- 10.1109/MRA.2012.2229936 · DOI
- 10.1109/TMECH.2013.2279751 · DOI
- 10.1016/j.medengphy.2012.12.005 · DOI
- blatt, 2008, Brain control of a smart wheelchair, Intell Auton Syst, 10, 221
- 10.1109/IROS.2014.6942821 · DOI
- kannan, 2013, Thought controlled wheelchair using EEG acquisition device, Proc 3rd Int Conf Advancements Electron Power Eng, 207
- 10.1109/CoASE.2013.6653886 · DOI
- 10.1016/j.robot.2012.11.002 · DOI
- 0, RESNA wheelchair service provision guide, Proc Rehab Eng Assistive Technol Soc North Amer, 1
- 10.1109/EMBC.2015.7319518 · DOI
- narayanan, 0, Visual servoing for autonomous doorway passing in a wheelchair using a single doorpost, Proc IEEE/RSJ IROS Workshop Assistance Service Robot Human Environ, 1
- 10.1145/2556288.2556962 · DOI
- 10.1109/GHTC-SAS.2014.6967575 · DOI
- 10.1109/ACC.2014.6859446 · DOI
- sato, 0, Multiple robotic wheelchair system able to move with a companion using map inform, Proc ACM/IEEE Int Conf Human-Robot Interact, 286
- sugano, 2014, Indoor platoon driving of electric wheelchair with model error compensator along wheel track of preceding vehicle, Proc 5th Int Symp Adv Control Ind Processes, 219
- senthilkumar, 2014, Brain control of a smart wheelchair, International Journal of Research & Innovation in Computer Engineering, 2, 4572
- 10.1109/ICEEE.2014.6978290 · DOI
- fehr, 2000, Adequacy of power wheelchair control interfaces for persons with severe disabilities: A clinical survey, J Rehabil Res Develop, 37, 353
- 10.1109/EST.2014.20 · DOI
- 10.1109/MRA.2012.2229936 · DOI
- 10.1109/MESA.2014.6935628 · DOI
- chrisander, 0, Wall following control for the application of a brain-controlled wheelchair, Proc IEEE Int Conf Intell Auton Agents Netw Syst, 36
- 10.1007/978-981-4585-42-2_8 · DOI
- 10.1109/IROS.2014.6943058 · DOI
- 10.1109/IROS.2014.6943272 · DOI
- 10.1109/ASCC.2015.7244838 · DOI
- 10.1109/ICRA.2014.6907505 · DOI
- 10.1145/2556288.2557237 · DOI
- 10.1109/RAECS.2014.6799574 · DOI
- 10.1109/ICARCV.2014.7064403 · DOI
- 10.1109/EMBC.2013.6610571 · DOI
- 10.1109/CIRAT.2013.6613819 · DOI
- faria, 2014, A survey on intelligent wheelchair prototypes and simulators, New Perspectives Inf Syst Technol, 1, 545
- 10.1109/ICORR.2013.6650348 · DOI
- 10.1109/MIS.2007.36 · DOI
- 10.1017/S0263574711000919 · DOI
- reis, 2013, Multimodal interface for an intelligent wheelchair, Proc Informat Control Automat Robot 10th Int Conf ICINCO 2013, 1
- megalingam, 2012, Methods of wheelchair navigation: Novel gesture recognition method, Int J Appl Eng Res, 7, 1654
- srivastava, 2014, Design and development of dual control system applied to smart wheelchair using voice and gesture control, Journal of Electrical and Electronics Engineering Research, 2, 1
- chockalingam, 2012, An integrated approach for head gesture based interface, Appl Soft Comput, 12, 1101, 10.1016/j.asoc.2011.11.014 · DOI
- 10.1016/j.protcy.2013.04.020 · DOI
- 10.1016/j.irbm.2015.09.003 · DOI
- 10.1109/ICRA.2012.6224951 · DOI
- 10.1109/SYSOSE.2011.5966614 · DOI
- 10.1145/2468356.2479609 · DOI
- sahnoun, 2006, Haptic feedback to assist powered wheelchair piloting, Assoc Advancement Modeling Simul Techn Enterprises, 67, 53
- 10.1109/iUSEr.2011.6150534 · DOI
- ashraf, 2011, Augmenting intuitiveness with wheelchair interface using nintendo wiimote, Int J New Comput Archit Appl, 1, 977
- 10.1682/JRRD.2003.03.0032 · DOI
- pineau, 2011, On the feasibility of using a standardized test for evaluating a speech-controlled smart wheelchair, Int J Intell Control Syst, 16, 124
- 10.1002/rob.20236 · DOI
- 10.1007/978-3-642-13408-1_2 · DOI
- 10.1109/ROBIO.2013.6739445 · DOI
- 10.1682/JRRD.2004.08.0101 · DOI
- 10.1007/978-3-642-74567-6_19 · DOI
- 10.1109/MCS.2005.1411382 · DOI
- 10.1109/TSMC.2014.2313317 · DOI
- 10.1007/978-3-319-14249-4_77 · DOI
- 10.1109/AICERA.2014.6908260 · DOI
- 10.1007/978-3-319-22876-1_23 · DOI
- zhixuan, 0, 3D semantic map-based shared control for smart wheelchair, Proc Int Conf Intell Robots, 41
- 10.1186/1743-0003-11-7 · DOI
- 10.5923/j.se.20120203.02 · DOI
- 10.1109/86.808948 · DOI
- 10.1145/2559636.2559665 · DOI
- ahire, 2014, Smart wheelchair by using EMG & EOG, Int J Res Comput Eng Electron, 3, 1
- 10.1007/978-3-642-25944-9_68 · DOI
- 10.1080/01691864.2015.1020070 · DOI
- 10.1109/CISP.2011.6100495 · DOI
- 10.1109/ICORR.2009.5209506 · DOI
- 10.1109/ICMA.2012.6284378 · DOI
- milenkovi, 0, Smartphones for smart wheelchairs, Proc IEEE Int Conf Body Sensor Netw, 1
- 10.1109/ROBOT.2006.1642225 · DOI
- 10.1109/ICORR.2007.4428538 · DOI
- 10.1145/1502650.1502693 · DOI
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“Head tracking is used ubiquitously in HCI applications, including assistive technologies (as an example, powered wheelchairs operated by head gestures are common [89]).”
Background
Metadata
- Authors
- Leaman, J., & La, H. M.
- Affiliations
- University of Nevada, Reno (US)
- Venue
- IEEE Transactions on Human-Machine Systems
- Published
- 2017-08
- Volume
- 47
- Issue
- 4
- Pages
- 486-499
- ISSN
- 2168-2291 (ISSN-L)
- 2168-2305
- OpenAlex
- W2608656908
- Cited by
- 253
- References
- 2
- Citations by year
- 2026: 15 · 2025: 32 · 2024: 36 · 2023: 25 · 2022: 28 · 2021: 38 · 2020: 34 · 2019: 25 · 2018: 19 · 2017: 1
- FWCI
- 60.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Human-Machine Systems (publishedVersion)
- Funders
- Nevada Center for Excellence in Disability (NCED)
- University of Nevada, Reno, NV, USA
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Keywords
- smart wheelchair, electric wheelchair, assistive technology, mobility aids, people with disabilities, functional mobility, sensors, research trends
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