Cited by 253Assistive Technology in Communication and MobilityGaze Tracking and Assistive TechnologyControl and Dynamics of Mobile Robots

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

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

Leaman, Jesse, La, Hung Manh·2017·IEEE Transactions on Human-Machine Systems

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.

Overview

Integrity signals

Registry

Crossref · 10.1109/thms.2017.2706727

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 2 references

Research works printed but not linked: 148

  1. 10.1109/ROBOT.2004.1307142 · DOI
  2. 10.1007/978-3-662-44791-8_15 · DOI
  3. 10.1109/TASL.2006.881703 · DOI
  4. 10.1016/S0166-2236(98)01260-0 · DOI · Paper page
  5. 2014, Emotive Sens
  6. 10.1109/AIPR.2013.6749333 · DOI
  7. 10.1109/100.924355 · DOI
  8. miyazaki, 0, Guide following control using laser range sensor for a smart wheelchair, Proc ICROS-SICE Int Joint Conf, 4613
  9. 10.1109/ROBOT.2005.1570853 · DOI
  10. 10.1682/JRRD.2007.01.0015 · DOI
  11. 10.1109/ROBOT.1990.126145 · DOI
  12. 10.1109/ICSMC.1993.385072 · DOI
  13. 10.1109/TSMCB.2011.2181833 · DOI
  14. 10.1109/ROBOT.2008.4543814 · DOI
  15. 10.1109/IEMBS.2007.4353411 · DOI
  16. gao, 2007, Performance characterization of Lidar based localization for docking a smart wheelchair system, Proc IEEE/RSJ Int Conf Intell Robots Syst, 1
  17. 10.1109/MFI.2016.7849501 · DOI
  18. yukselir, 2012, The brains behind the electric wheelchair, one of Canada's ‘great artifacts’, Globe and Mail
  19. 10.5195/HCS.2013.136 · DOI
  20. 10.1155/2012/921982 · DOI
  21. leaman, 2015, iChair: Intelligent powerchair for severely disabled people, Proc ISSAT Int Conf Model Complex Syst Environ, 1
  22. 10.1109/ICORR.2013.6650496 · DOI
  23. 10.1145/2658861.2658873 · DOI
  24. 10.1155/2014/172434 · DOI
  25. 10.1179/otb.2014.69.1.012 · DOI
  26. 10.1109/IIAI-AAI.2014.172 · DOI
  27. 10.1177/0018720812443826 · DOI
  28. riek, 0, A code of ethics for the human-robot interaction profession, Proceedings of We Robot, 1
  29. 10.1007/978-3-319-07230-2_49 · DOI
  30. 10.1007/s00366-012-0274-x · DOI
  31. 10.1145/2504335.2504339 · DOI
  32. 10.1109/BSN.2013.6575460 · DOI
  33. fattouh, 2013, Emotional BCI control of a smart wheelchair, Int J Comput Sci Issues IJCSI, 10, 32
  34. 10.1109/ICITCS.2013.6717883 · DOI
  35. 10.1109/IROS.2013.6696743 · DOI
  36. 10.1109/GHTC-SAS.2013.6629911 · DOI
  37. 10.1145/2506095.2506140 · DOI
  38. 10.1145/2504335.2504336 · DOI
  39. 10.1109/ISIEA.2009.5356324 · DOI
  40. 10.1007/978-3-319-10891-9_1 · DOI
  41. 10.1109/TASE.2013.2294687 · DOI
  42. lim, 0, Developing a crack inspection robot for bridge maintenance, Proc IEEE Int Conf Robot Autom, 6288
  43. 10.1007/978-3-319-05951-8_52 · DOI
  44. pretz, 2013, Building smarter wheelchairs. making life easier for people can't walk, The Institute - The IEEE News Source
  45. 10.1109/100.924353 · DOI
  46. 2009, Code of Federal Regulations—Part 46—Protection of Human Subjects
  47. 10.1007/s11370-014-0149-7 · DOI
  48. 10.1109/TePRA.2013.6556380 · DOI
  49. 10.1109/SCEECS.2014.6804529 · DOI
  50. 10.1109/iww-BCI.2014.6782550 · DOI
  51. 10.7326/0003-4819-156-2-201201170-00010 · DOI
  52. 10.1109/TSMC.2013.2287792 · DOI
  53. 10.1109/BRC.2012.6222185 · DOI
  54. yayan, 2014, Development of indoor navigation software for intelligent wheelchair, Proc IEEE Int Symp Innovations Intell Syst Appl Proc, 325
  55. 10.1109/IROS.2014.6943272 · DOI
  56. balaguer, 2011, SULTAN: Simultaneous user learning and task execution, and its application in assistive robotics, Proc IROS Workshop New Emerg Technol Assistive Robot, 1
  57. 10.1109/ETFA.2011.6059222 · DOI
  58. tang, 0, Develop. of a navigation system for semi-autonomous operation of wheelchairs, Proc IEEE/ASME Int Conf Mechatronics Embedded Syst Appl, 257
  59. 10.1109/ICRA.2012.6225349 · DOI
  60. veno, 0, Design and control for collision avoidance of power-assisted omni-directional mobile wheelchair system, Proc IEEE/SICE Int Symp Syst Integr, 902
  61. 10.1109/HSI.2011.5937345 · DOI
  62. 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
  63. viswanathan, 2011, Adaptive navigation assistance for visually-impaired wheelchair users, Proc IROS Workshop New Emerg Technol Assistive Robot, 1
  64. li, 0, Dynamic shared control for human-wheelchair cooperation, Proc IEEE Int Conf Robot Autom, 4278
  65. 10.1109/IROS.1991.174452 · DOI
  66. takano, 0, Multiple robotic wheelchair system based on the observation of circumstance, Proc 13th Japan-Korea Joint Workshop on Frontiers of Computer Vision, 222
  67. 10.1109/EMBC.2013.6610332 · DOI
  68. 10.1109/ISIE.2011.5984270 · DOI
  69. 10.1142/S0218213009000226 · DOI
  70. 10.5772/38824 · DOI
  71. 10.1109/ICORR.2009.5209573 · DOI
  72. 10.1163/1568553041257431 · DOI
  73. 10.1109/MRA.2012.2229936 · DOI
  74. 10.1109/TMECH.2013.2279751 · DOI
  75. 10.1016/j.medengphy.2012.12.005 · DOI
  76. blatt, 2008, Brain control of a smart wheelchair, Intell Auton Syst, 10, 221
  77. 10.1109/IROS.2014.6942821 · DOI
  78. kannan, 2013, Thought controlled wheelchair using EEG acquisition device, Proc 3rd Int Conf Advancements Electron Power Eng, 207
  79. 10.1109/CoASE.2013.6653886 · DOI
  80. 10.1016/j.robot.2012.11.002 · DOI
  81. 0, RESNA wheelchair service provision guide, Proc Rehab Eng Assistive Technol Soc North Amer, 1
  82. 10.1109/EMBC.2015.7319518 · DOI
  83. 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
  84. 10.1145/2556288.2556962 · DOI
  85. 10.1109/GHTC-SAS.2014.6967575 · DOI
  86. 10.1109/ACC.2014.6859446 · DOI
  87. sato, 0, Multiple robotic wheelchair system able to move with a companion using map inform, Proc ACM/IEEE Int Conf Human-Robot Interact, 286
  88. 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
  89. senthilkumar, 2014, Brain control of a smart wheelchair, International Journal of Research & Innovation in Computer Engineering, 2, 4572
  90. 10.1109/ICEEE.2014.6978290 · DOI
  91. fehr, 2000, Adequacy of power wheelchair control interfaces for persons with severe disabilities: A clinical survey, J Rehabil Res Develop, 37, 353
  92. 10.1109/EST.2014.20 · DOI
  93. 10.1109/MRA.2012.2229936 · DOI
  94. 10.1109/MESA.2014.6935628 · DOI
  95. chrisander, 0, Wall following control for the application of a brain-controlled wheelchair, Proc IEEE Int Conf Intell Auton Agents Netw Syst, 36
  96. 10.1007/978-981-4585-42-2_8 · DOI
  97. 10.1109/IROS.2014.6943058 · DOI
  98. 10.1109/IROS.2014.6943272 · DOI
  99. 10.1109/ASCC.2015.7244838 · DOI
  100. 10.1109/ICRA.2014.6907505 · DOI
  101. 10.1145/2556288.2557237 · DOI
  102. 10.1109/RAECS.2014.6799574 · DOI
  103. 10.1109/ICARCV.2014.7064403 · DOI
  104. 10.1109/EMBC.2013.6610571 · DOI
  105. 10.1109/CIRAT.2013.6613819 · DOI
  106. faria, 2014, A survey on intelligent wheelchair prototypes and simulators, New Perspectives Inf Syst Technol, 1, 545
  107. 10.1109/ICORR.2013.6650348 · DOI
  108. 10.1109/MIS.2007.36 · DOI
  109. 10.1017/S0263574711000919 · DOI
  110. reis, 2013, Multimodal interface for an intelligent wheelchair, Proc Informat Control Automat Robot 10th Int Conf ICINCO 2013, 1
  111. megalingam, 2012, Methods of wheelchair navigation: Novel gesture recognition method, Int J Appl Eng Res, 7, 1654
  112. 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
  113. chockalingam, 2012, An integrated approach for head gesture based interface, Appl Soft Comput, 12, 1101, 10.1016/j.asoc.2011.11.014 · DOI
  114. 10.1016/j.protcy.2013.04.020 · DOI
  115. 10.1016/j.irbm.2015.09.003 · DOI
  116. 10.1109/ICRA.2012.6224951 · DOI
  117. 10.1109/SYSOSE.2011.5966614 · DOI
  118. 10.1145/2468356.2479609 · DOI
  119. sahnoun, 2006, Haptic feedback to assist powered wheelchair piloting, Assoc Advancement Modeling Simul Techn Enterprises, 67, 53
  120. 10.1109/iUSEr.2011.6150534 · DOI
  121. ashraf, 2011, Augmenting intuitiveness with wheelchair interface using nintendo wiimote, Int J New Comput Archit Appl, 1, 977
  122. 10.1682/JRRD.2003.03.0032 · DOI
  123. pineau, 2011, On the feasibility of using a standardized test for evaluating a speech-controlled smart wheelchair, Int J Intell Control Syst, 16, 124
  124. 10.1002/rob.20236 · DOI
  125. 10.1007/978-3-642-13408-1_2 · DOI
  126. 10.1109/ROBIO.2013.6739445 · DOI
  127. 10.1682/JRRD.2004.08.0101 · DOI
  128. 10.1007/978-3-642-74567-6_19 · DOI
  129. 10.1109/MCS.2005.1411382 · DOI
  130. 10.1109/TSMC.2014.2313317 · DOI
  131. 10.1007/978-3-319-14249-4_77 · DOI
  132. 10.1109/AICERA.2014.6908260 · DOI
  133. 10.1007/978-3-319-22876-1_23 · DOI
  134. zhixuan, 0, 3D semantic map-based shared control for smart wheelchair, Proc Int Conf Intell Robots, 41
  135. 10.1186/1743-0003-11-7 · DOI
  136. 10.5923/j.se.20120203.02 · DOI
  137. 10.1109/86.808948 · DOI
  138. 10.1145/2559636.2559665 · DOI
  139. ahire, 2014, Smart wheelchair by using EMG & EOG, Int J Res Comput Eng Electron, 3, 1
  140. 10.1007/978-3-642-25944-9_68 · DOI
  141. 10.1080/01691864.2015.1020070 · DOI
  142. 10.1109/CISP.2011.6100495 · DOI
  143. 10.1109/ICORR.2009.5209506 · DOI
  144. 10.1109/ICMA.2012.6284378 · DOI
  145. milenkovi, 0, Smartphones for smart wheelchairs, Proc IEEE Int Conf Body Sensor Netw, 1
  146. 10.1109/ROBOT.2006.1642225 · DOI
  147. 10.1109/ICORR.2007.4428538 · DOI
  148. 10.1145/1502650.1502693 · DOI

Cited by

Sorted by citations

See all 253

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review