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Smart walkers: an application-oriented review

Published online by Cambridge University Press:  10 February 2016

Solenne Page*
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR 7222, ISIR, F-75005, Paris, France CNRS, UMR 7222, ISIR, F-75005, Paris, France INSERM, U1150, Agathe-ISIR, F-75005, Paris, France
Ludovic Saint-Bauzel
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR 7222, ISIR, F-75005, Paris, France CNRS, UMR 7222, ISIR, F-75005, Paris, France INSERM, U1150, Agathe-ISIR, F-75005, Paris, France
Pierre Rumeau
Affiliation:
Laboratoire de Gérontechnologie de La Grave, Inserm U 1027, CHU Toulouse/Gérontopôle, Hôpital La Grave, TSA 60033, 31059 Toulouse Cedex 9, France
Viviane Pasqui
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR 7222, ISIR, F-75005, Paris, France CNRS, UMR 7222, ISIR, F-75005, Paris, France INSERM, U1150, Agathe-ISIR, F-75005, Paris, France
*
*Corresponding author: E-mail: [email protected]

Summary

In this paper, a development method for smart walker prototypes is proposed. Development of such prototypes is based on technological choices and device evaluations. The method is aimed at guiding technological choices in a modular fashion. First, the method for choosing modules to be integrated in a smart walker is presented. Application-specific modules are then studied. Finally, the issues of evaluation are investigated. In order to work out this method, more than 50 smart walkers and their pros and cons with respect to the different studied applications are reviewed.

Type
Articles
Copyright
Copyright © Cambridge University Press 2016 

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References

1. “World population ageing,” Department of Economic and Social Affairs Population Division, United Nations, New York (2013).Google Scholar
2. “Merck manual, gait disorders in the elderly.” http://www.merckmanuals.com/professional/geriatrics/gait_disorders_in_the_elderly/gait_disorders_in_the_elderly.html, (Last full review/revision August 2013 by James O. Judge, MD, Content last modified Sep. 2013).Google Scholar
3. Shaffer, S. and Harrison, A., “Aging of the somatosensory system: A translational perspective,” Phys Ther. 87 (2), 193207 (Feb. 2007). Epub 2007 Jan 23.Google Scholar
4. Sturnieks, D. L., George, R. S. and Lord, S. R., “Balance disorders in the elderly,” Neurophysiol Clin. 38 (6), 467478 (2008 Oct 7). doi: 10.1016/j.neucli.2008.09.001.Google Scholar
5. “Global report on falls prevention in older age,” World Health Organization, 2007.Google Scholar
6. Davison, J., Bond, J., Dawson, P., Steen, N. and Kenny, R.-A., “Patients with recurrent falls attending accident & emergency benefit from multifactorial intervention a randomised controlled trial,” Age Ageing 34 (2), 162168 (2005).Google Scholar
7. Heese, S., Sonntag, D., Bardeleben, A., Käding, M., Roggenbruck, C. and Conradi, E., “The gait of patients with full weightbearing capacity after hip prosthesis implantation on the treadmill with partial body weight support, during assisted walking and without crutches,” Z. Orthop. Ihre Grenzgeb. 137 (3), 265272 (1999).Google Scholar
8. Joyce, B. and Kirby, R. L., “Canes, crutches and walkers,” Am. Fam. Physician 43 (2), 535542 (1991).Google Scholar
9. OrthoInfo, American Academy of Orthopaedic Surgeons. http://orthoinfo.aaos.org/topic.cfm?topic=A00181&return_link=0, (accessed in: 22.04.15).Google Scholar
10. Lacey, G. and MacNamara, S., “User involvement in the design and evaluation of a smart mobility aid,” J. Rehabil. Res. Dev. 37 (6), 709723 (2000).Google Scholar
11. Martins, M. M., Santos, C. P., Frizera-Neto, A. and Ceres, R., “Assistive mobility devices focusing on smart walkers: Classification and review,” Robot. Auton. Syst. 60, 548562 (2012).Google Scholar
12. Martins, M., Santos, C., Frizera, A. and Ceres, R., “A review of the functionalities of smart walkers,” Medical Engineering & Physics 37, 917928 (2015).CrossRefGoogle ScholarPubMed
13. Jonsson, L., The Importance of the 4-Wheeled Walker for Elderly Women Living in their Home Environment - a three-year study. Swedish Handicap Institute (2001).Google Scholar
14. Böttcher, S., “Principles of Robot Locomotion,” Proceedings of Human Robot Interaction Seminar (2006).Google Scholar
15. Alwan, M., Rajendran, P. J., Ledoux, R., Huang, C., Wasson, G. and Sheth, P., “Stability margin monitoring in steering-controlled intelligent walkers for the elderly,” AAAI Fall Symposium 2005: Caring Machines.Google Scholar
16. Campion, G., Bastin, G. and Dandrea-Novel, B., “Structural properties and classification of kinematic and dynamic models of wheeled mobile robots,” IEEE Trans. Robot. Autom. 12 (1), 4762 (1996).Google Scholar
17. Chugo, D., Sakaida, Y., Yokota, S. and Takase, K., “Sitting Motion Assistance on a Rehabilitation Robotic Walker,” Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO) (2011) pp. 1967–1972.Google Scholar
18. Mou, W.-H., Chang, M.-F., Liao, C.-K., Hsu, Y.-H., Tseng, S.-H. and Fu, L.-C., “Context-Aware Assisted Interactive Robotic Walker for Parkinson's Disease Patients,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2012) pp. 329334.Google Scholar
19. Graf, B., “An adaptive guidance system for robotic walking aids,” J. Comput. Inform. Technol. 17 (1), 109120 (2009).Google Scholar
20. Pasqui, V., Saint-Bauzel, L., Zong, C., Clady, X., Decq, P., Piette, F., Michel-Pellegrino, V., Helou, A. E., Carré, M., Durand, A., Hoang, Q., Guiochet, J., Rumeau, P., Dupourque, V. and Caquas, J., “Projet miras: Robot d'assistance à la déambulation avec interaction multimodale,” IRBM 33 (2), 165172 (2012). Numéro spécial ANR TECSANTechnologie pour la santé et l'autonomie.Google Scholar
21. Spenko, M., Yu, H. and Dubowsky, S., “Robotic personal aids for mobility and monitoring for the elderly,” IEEE Trans. Neural Syst. Rehabil. Eng. 14 (3), 344351 (2006).CrossRefGoogle ScholarPubMed
22. Lee, G., Ohnuma, T., Chong, N. and Lee, S.-G., “Walking intent-based movement control for jaist active robotic walker,” IEEE Trans. Syst. Man Cybern.: Syst. (99), (2013).Google Scholar
23. Park, H. K., Hong, H. S., Kwon, H. J. and Chung, M. J., “A nursing robot system for elderly people,” Proceedings of 2002 Joint Workshop on Intelligent Control and Robotics, Beijing, China (2002, 7) pp. 103–106.Google Scholar
24. Wada, M. and Asada, H., “Design and control of a variable footprint mechanism for holonomic omnidirectional vehicles and its application to wheelchairs,” IEEE Trans. Robot. Autom. 15 (6), 978989 (1999).Google Scholar
25. Yu, H. and Dubrowsky, S., “Omni-Directional Mobility using Active Split Offset Castors,” Proceedings of the SAME IDETC/CIE 26th Biennial Mechanics and Robotics Conference (2000) pp. 822–829.Google Scholar
26. Zhu, X., Cao, Q., Tan, H. and Tang, A., “Omni-Directional Vision Based Tracking and Guiding System for Walking Assistant Robot,” Proceedings of the Advances in Neural Network Research and Applications, Lecture Notes in Electrical Engineering, vol. 67, Springer, Berlin Heidelberg (2010) pp. 537–543.Google Scholar
27. Wu, H.-K., Chien, C.-W., Jheng, Y.-C., Chen, C.-H., Chen, H.-R. and Yu, C.-H., “Development of Intelligent Walker with Dynamic Support,” Proceedings of the 18th IFAC World Congress Milano (Italy) (2011).Google Scholar
28. Kyung-Ryoul, M., Guo, Z. and Yu, H., “Development and evaluation of a novel over-ground robotic walker for pelvic motion support,” Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR) (2015).Google Scholar
29. Stevens, J. A., Thomas, K., Teh, L. and Greenspan, A. I., “Unintentional fall injuries associated with walkers and canes in older adults treated in u.s. emergency departments,” J. Am. Geriatrics Soc. JAGS 57 (8), (Aug. 2009).Google Scholar
30.“The keepace: A personalized electric walking assist car,” http://www.murata.com/corporate/ad/article/metamorphosis17/application_note/02/02.html, (accessed in: 25.02.14).Google Scholar
31. Inagaki, S., Suzuki, T. and Ito, T., “Design of Man-Machine Cooperative Nonholonomic Two-Wheeled Vehicle Based on Impedance Control and Time-State Control,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (2009) pp. 3768–3773.Google Scholar
32. Sabatini, A., Genovese, V. and Pacchierotti, E., “A Mobility Aid for the Support to Walking and Object Transportation of People with Motor Impairments,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 2 (2002) pp. 1349–1354.Google Scholar
33. Xiong, G., Gong, J., Junyao, G., Zhao, T., Liu, D. and Chen, X., “Optimum Design and Simulation of a Mobile Robot with Standing-Up Devices to Assist Elderly People and Paraplegic Patients,” Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO) (2006) pp. 807–812.Google Scholar
34. Saint-Bauzel, L., Pasqui, V. and Monteil, I., “A reactive robotized interface for lower limb rehabilitation: Clinical results,” IEEE Trans. Robot. 25 (3), 583592 (2009).CrossRefGoogle Scholar
35. Ye, J., Huang, J., He, J., Tao, C. and Wang, X., “Development of a Width-Changeable Intelligent Walking-Aid Robot,” Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science (MHS) (2012) pp. 358–363.Google Scholar
36. Merlet, J.-P., “Preliminary Design of Ang, A Low-Cost Automated Walker for Elderly,” Proceedings of the New Trends in Mechanism Science, vol. 5 of Mechanisms and Machine Science, Springer, Netherlands (2010) pp. 529–536.Google Scholar
37. Bühler, C., Heck, H., Nedza, J. and Wallbruch, R., “Evaluation of the mobil walking & lifting aid,” Assistive Technology - Added Value to the Quality of Life (2001).Google Scholar
38. Prajapati, C., Watkins, C., Cullen, H., Orugun, O., King, D. and Rowe, J., “The ‘s’test-a preliminary study of an instrument for selecting the most appropriate mobility aid,” Clin. Rehabil. 10 (4), 314318 (1996).Google Scholar
39. Zhang, Y., Niu, J., Hayes, M., Chaisson, C., Aliabadi, P. and Felson, D., “Prevalence of symptomatic hand osteoarthritis and its impact on functional status among the elderly. the framingham study,” Am. J. Epidemiology 156 (11), (2002).Google Scholar
40. Kai, Y., Tanioka, T., Inoue, Y., Matsuda, T., Sugawara, K., Takasaka, Y. and Nagamine, I., “A walking support/evaluation machine for patients with parkinsonism,” J. Med. Investigation 51, 117124 (2004).Google Scholar
41. “The rehabilitation institute of chicago, 2005.” http://www.kineadesign.com/portfolio/kineassist/, (accessed in: 25.02.14).Google Scholar
42. Bouri, M., Stauffer, Y., Schmitt, C., Allemand, Y., Gnemmi, S., Clavel, R., Metrailler, P. and Brodard, R., “The Walktrainer: A Robotic System for Walking Rehabilitation,” Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1616–1621, Dec. 2006.Google Scholar
43. Einbinder, E. and Horrom, T., “Smart walker: A tool for promoting mobility in elderly adults,” J. Rehabil. Res. Dev. 47 (9), xiiixvi (2010).Google Scholar
44. Chugo, D., Asawa, T., Kitamura, T., Songmin, J. and Takase, K., “A Motion Control of a Robotic Walker for Continuous Assistance during Standing, Walking and Seating Operation,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2009) pp. 4487–4492.Google Scholar
45. Chuy, O., Hirata, Y. and Kosuge, K., “Augmented Variable Center of Rotation in Controlling a Robotic Walker to Adapt user Characteristics,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2005) pp. 1779–1784.Google Scholar
46. Huang, C., Wasson, G., Alwan, M., Sheth, P. and Ledoux, A., “Shared Navigational Control and User Intent Detection in an Intelligent Walker,” Proceedings of the AAAI Fall 2005 Symposium (EMBC), 2005.Google Scholar
47. Rentschler, A. J., Simpson, R., Cooper, R. A. and Boninger, M. L., “Clinical evaluation of guido robotic walker,” J. Rehabil. Res. Dev. 45, 12811294 (2008).Google Scholar
48. Chuy, O., Hirata, Y. and Kosuge, K., “Environment Feedback for Robotic Walking Support System Control,” Proceedings of the IEEE International Conference on Robotics and Automation (2007) pp. 3633–3638.Google Scholar
49. Song, K.-T. and Jiang, S.-Y., “Force-Cooperative Guidance Design of an Omni-Directional Walking Assistive Robot,” Proceedings of the International Conference on Mechatronics and Automation (ICMA) (2011) pp. 1258–1263.Google Scholar
50. Jun, H.-G., Chang, Y.-Y., Dan, B.-J., Jo, B.-R., Min, B.-H., Yang, H., Song, W.-K. and Kim, J., “Walking and Sit-to-Stand Support System for Elderly and Disabled,” Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR) (2011) pp. 1–5.Google Scholar
51. Seo, K.-H. and Lee, J.-J., “The development of two mobile gait rehabilitation systems,” IEEE Trans. Neural Syst. Rehabil. Eng. 17 (2), 156166 (2009).Google Scholar
52. Hirata, Y., Hara, A. and Kosuge, K., “Passive-Type Intelligent Walking Support System “rt walker”,” Proceedings of the Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 4 (2004) pp. 3871–3876.Google Scholar
53. Tan, R., Wang, S., Jiang, Y., Ishida, K. and Fujie, M., “Path Tracking Control of an Omni-Directional Walker Considering Pressures from a User,” Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2013) pp. 910–913.Google Scholar
54. Grondin, S. and Li, Q., “Intelligent Control of a Smart Walker and its Performance Evaluation,” Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR) (Jun. 2013) pp. 1–6.Google Scholar
55. Hirata, Y., Muraki, A. and Kosuge, K., “Motion Control of Intelligent Passive-Type Walker for Fall-Prevention Function Based on Estimation of User State,” Proceedings IEEE International Conference on Robotics and Automation (ICRA) (2006) pp. 3498–3503.Google Scholar
56. Huang, Y.-C., Wu, C.-J., Ko, C.-H. and Young, K.-Y., “Collision-free guidance for passive robot walking helper,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC) (2012) pp. 3129–3134.Google Scholar
57. Noury, N., Fleury, A., Rumeau, P., Bourke, A., Laighin, G., Rialle, V. and Lundy, J. E., “Fall Detection - Principles and Methods,” Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) (Aug. 2007) pp. 1663–1666.Google Scholar
58. Martins, M., Santos, C. and Frizera, A., “Online Control of a Mobility Assistance Smart Walker,” Proceedings of the IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG) (2012) pp. 1–6.Google Scholar
59. Yu, K.-T., Lam, C.-P., Chang, M.-F., Mou, W.-H., Tseng, S.-H. and Fu, L.-C., “An Interactive Robotic Walker for Assisting Elderly Mobility in Senior Care Unit,” Proceedings of the 2010 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) (2010) pp. 24–29.Google Scholar
60. Taghvaei, S., Hirata, Y. and Kosuge, K., “Control of a Passive Walker using a Depth Sensor for User State Estimation,” Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO) (2011) pp. 1639–1645.Google Scholar
61. Nejatbakhsh, N. and Kosuge, K., “User-Environment Based Navigation Algorithm for an Omnidirectional Passive Walking Aid System,” Proceedings of the 9th International Conference on Rehabilitation Robotics (ICORR) (2005) pp. 178–181.Google Scholar
62. Geravand, M., Rampeltshammer, W. and Peer, A., “Control of Mobility Assistive Robot for Human Fall Prevention,” Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR) (2015).Google Scholar
63. Pruski, A., Robotique Mobile: la Planification de Trajectoire (France, Hermes Science Publications, 1996).Google Scholar
64. Kotani, S., Mori, H. and Kiyohiro, N., “Development of the robotic travel aid hitomi,” Robot. Auton. Syst. 17 (1–2), 119128 (1996).CrossRefGoogle Scholar
65. Kulyukin, V., Kutiyanawala, A., LoPresti, E., Matthews, J. and Simpson, R., “iwalker: Toward a Rollator-Mounted Wayfinding System for the Elderly,” Proceedings of the IEEE International Conference on RFID (2008) pp. 303–311.Google Scholar
66. Graf, B., Reiser, U., Hägele, M., Mauz, K. and Klein, P., “Robotic Home Assistant Care-o-bot 3 - Product Vision and Innovation Platform,” Proceedings of the IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) (2009) pp. 139–144.Google Scholar
67. Morris, A., Donamukkala, R., Kapuria, A., Steinfeld, A., Matthews, J., Dunbar-Jacob, J. and Thrun, S., “A Robotic Walker that Provides Guidance,” Proceedings IEEE International Conference on Robotics and Automation (ICRA), vol. 1 (2003) pp. 25–30.Google Scholar
68. Glover, J., Thrun, S. and Matthews, J., “Learning User Models of Mobility-Related Activities through Instrumented Walking Aids,” Proceedings IEEE International Conference on Robotics and Automation (ICRA), vol. 4 (2004) pp. 3306–3312.Google Scholar
69. Tsai, C.-C., Huang, Y.-S., Wang, Y.-C. and Hu, S., “Design and Implementation of a Nursing-Care Walking Assistant for the Elderly,” Proceedings of 2005 Chinese Automatic Control Conference, Citeseer (2005) pp. 210–215.Google Scholar
70. Glover, J., Holstius, D., Manojlovich, M., Montgomery, K., Powers, A., Wu, J., Kiesler, S., Matthews, J. and Thrun, S., “A robotically-augmented walker for older adults,” tech. rep. (Carnegie Mellon University, Research Showcase@CMU, 2003).Google Scholar
71. Rodriguez-Losada, D., Matia, F., Jimenez, A., Galan, R. and Lacey, G., “Implementing Map Based Navigation in Guido, the Robotic Smartwalker,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), IEEE (2005) pp. 3390–3395.Google Scholar
72. Shi, Y., Kotani, S. and Mori, H., “A route comprehension support system for a robotic travel aid,” Syst. Comput. Japan 37 (9), 8799 (2006).Google Scholar
73. Kulyukin, V., LoPresti, E., Kutiyanawala, A., Simpson, R. and Matthews, J., “A Rollator-Mounted Wayfinding System for the Elderly: Proof-of-Concept Design and Preliminary Technical Evaluation,” Proceedings of the 30th Annual Conference of the Rehabilitation Engineering and Assistive Technology Society of North America (RESNA) (Phoenix, Arizona, 2007).Google Scholar
74. Sabatini, A., Genovese, V. and Maini, E., “Be-Viewer: Vision-Based Navigation System to Assist Motor-Impaired People in Docking their Mobility Aids,” Proceedings IEEE International Conference on Robotics and Automation (ICRA), vol. 1 (2003) pp. 1318–1323.Google Scholar
75. Hashimoto, H., Sasaki, A., Ohyama, Y. and Ishii, C., “Walker with Hand Haptic Interface for Spatial Recognition,” Proceedings of the 9th IEEE International Workshop on Advanced Motion Control (2006) pp. 311–316.Google Scholar
76. Yuk, G.-H., Park, H.-S., Dan, B.-J., Jo, B.-R. and Chang, W.-S., “Development of Smart Mobile Walker for Elderly and Disabled,” Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2013) pp. 300–301.Google Scholar
77. Nemoto, Y., Egawa, S., Koseki, A., Hattori, S., Ishii, T. and Fujie, M., “Power-Assisted Walking Support System for Elderly,” Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 5 (1998) pp. 2693–2695.Google Scholar
78. Schneider, J., Stork, W., Irgenfried, S. and Worn, H., “A Multimodal Human Machine Interface for a Robotic Mobility Aid,” Proceedings of the 6th International Conference on Automation, Robotics and Applications (ICARA) (Feb. 2015) pp. 289–294.Google Scholar
79. Zhang, L., Cao, Q. X., Leng, C. T., Tang, A. L. and Shi, F., “The development of walking assistant robot for the elderly,” Key Eng. Mater. 467–469, 18931898 (2011).Google Scholar
80. Chan, A. D. C. and Green, J., “Smart Rollator Prototype,” Proceedings of the IEEE International Workshop on Medical Measurements and Applications (MeMeA) (2008) pp. 97–100.Google Scholar
81. Doughty, K., Telehealth to support health promotion and management of disease. Oxford Desk Reference: Geriatric Medicine, 2012, pp. 551555.Google Scholar
82. Abellanas, A., Frizera, A., Ceres, R. and Gallego, J., “Estimation of gait parameters by measuring upper limb-walker interaction forces,” Sensors Actuators A: Phys. 162 (2), 276283 (2010). Eurosensors XXIII, 2009.Google Scholar
83. Page, S., Martins, M., Saint-Bauzel, L., Santos, C. and Pasqui, V., “Fast Embedded Feet Pose Estimation Based on a Depth Camera for Smart Walker,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (May 2015) pp. 4224–4229.Google Scholar
84. Alwan, M., Wasson, G., Sheth, P., Ledoux, A. and Huang, C., “Passive Derivation of Basic Walker-Assisted Gait Characteristics from Measured Forces and Moments,” Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS), vol. 1 (2004) pp. 2691–2694.Google Scholar
85. Hausdorff, J., “Gait variability: Methods, modeling and meaning,” J. NeuroEngineering Rehabil. 2 (1), 19 (2005).Google Scholar
86. Omar, F., Sinn, M., Truszkowski, J., Poupart, P., Tung, J. and Caine, A., “Comparative analysis of probabilistic models for activity recognition with an instrumented walker,” In: Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), (July 2010).Google Scholar
87. Yoo, D., Hong, H., Kwon, H. and Chung, M., “20 Human-Friendly Care Robot system for the Elderly,” Proceedings of the Advances in Rehabilitation Robotics, Lecture Notes in Control and Information Science, vol. 306 (Springer, Berlin Heidelberg (2004) pp. 323–332.Google Scholar
88. Hirata, Y., Muraki, A. and Kosuge, K., “Standing Up and Sitting Down Support using Intelligent Walker Based on Estimation of User States,” Proceedings of the IEEE International Conference on Mechatronics and Automation (2006) pp. 13–18.Google Scholar
89. Miro, J., Osswald, V., Patel, M. and Dissanayake, G., “Robotic Assistance with Attitude: A Mobility Agent for Motor Function Rehabilitation and Ambulation Support,” Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR) (2009) pp. 529–534.Google Scholar
90. Morita, Y., Chugo, D., Sakaida, Y., Yokota, S. and Takase, K., “Standing Motion Assistance on a Robotic Walker Based on the Estimated Patient's Load,” Proceedings of the 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (2012) pp. 1721–1726.Google Scholar
91. Shim, H.-M., Lee, E.-H., Shim, J.-H., Lee, S.-M. and Hong, S.-H., “Implementation of an Intelligent Walking Assistant Robot for the Elderly in Outdoor Environment,” Proceedings of the 9th International Conference on Rehabilitation Robotics (ICORR) (2005) pp. 452–455.Google Scholar
92. Tomita, M., Ogiso, T., Nemoto, Y. and Fujie, M. G., “A study on the path of an upper-body support arm used for assisting standing-up and sitting-down motion,” JSME Int. J. Ser. C 43, 949956 (2000).CrossRefGoogle Scholar
93. Zhu, C., Oda, M., Suzuki, M., Luo, X., Watanabe, H. and Yan, Y., “A New Type of Omnidirectional Wheelchair Robot for Walking Support and Power Assistance,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2010) pp. 6028–6033.Google Scholar
94. Zhang, L., Bai, D. and Yi, L., “Optimization of Walking Assistance Mechanism in Rehabilitation Wheelchair,” Proceedings of the IEEE/ICME International Conference on Complex Medical Engineering (CME) (2011) pp. 621–626.Google Scholar
95. Zhang, X., Wang, Y. and Wei, X., “Research on control technology of elderly-assistant & walking-assistant robot based on tactile-slip sensation,” Eng. Sci. 11, (2013) pp. 8996.Google Scholar
96. Song, K.-T. and Lin, C.-Y., “A New Compliant Motion Control Design of a Walking-Help Robot Based on Motor Current and Speed Measurement,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2009) pp. 4493–4498.Google Scholar
97. Wasson, G., Sheth, P., Alwan, M., Granata, K., Ledoux, A. and Huang, C., “User Intent in a Shared Control Framework for Pedestrian Mobility Aids,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 3 (2003) pp. 2962–2967.Google Scholar
98. Frémy, J., Michaud, F. and Lauria, M., “Pushing a Robot Along - a Natural Interface for Human-Robot Interaction,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (2010) pp. 3440–3445.Google Scholar
99. Chuy, O., Hirata, Y., Wang, Z. and Kosuge, K., “Approach in Assisting a Sit-to-Stand Movement using Robotic Walking Support System,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (2006) pp. 4343–4348.Google Scholar
100. Pasqui, V. and Bidaud, P., “Bio-Mimetic Trajectory Generation for Guided Arm Movement during Assisted Sit-to-Stand Transfer,” Proceedings of the 9th International Conference on Climbing and Walking Robots, Geneva, Belgium (Sep. 2006) pp. 246–251.Google Scholar
101. Wang, T., Merlet, J.-P., Sacco, G., Robert, P., Turpin, J.-M., Teboul, B., Marteu, A. and Guerin, O., “Walking analysis of young-elderly people by using an intelligent walker ang,” Robot. Auton. Syst. 75 (A), 96106 (2016).Google Scholar
102. Neto, A. Frizera, Ceres, R., de Lima, E. Rocón and Pons, J. L., “Empowering and assisting natural human mobility: The simbiosis walker,” Int. J. Adv. Robot. Syst. 8 (3), 3450 (2011).Google Scholar
103. Röfer, D. T., Laue, T. and Gersdorf, D. B., “iwalker - an intelligent walker providing services for the elderly,” Technically Assisted Rehabilitation (2009). European Conference on Technically Assisted Rehabilitation (TAR-09), March 18-19, Berlin, Germany.Google Scholar
104. Yu, H., Spenko, M. and Dubowsky, S., “An adaptive shared control system for an intelligent mobility aid for the elderly,” Auton. Robots 15 (1), 5366 (2003).Google Scholar
105. Jiang, Y. and Wang, S., “Adapting Directional Intention Identification in Running Control of a Walker to Individual Difference with Fuzzy Learning,” Proceedings of the International Conference on Mechatronics and Automation (ICMA) (2010) pp. 693–698.Google Scholar
106. Zhou, W., Xu, L. and Yang, J., “An Intent-Based Control Approach for An Intelligent Mobility Aid,” Proceedings of the 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR) 2, (2010) pp. 54–57.Google Scholar
107. Huang, Y.-C., Yang, H.-P., Ko, C.-H. and Young, K.-Y., “Human Intention Recognition for Robot walking Helper using Anfis,” Proceedings of the 8th Asian Control Conference (ASCC) (2011) pp. 311–316.Google Scholar
108. McLachlan, S., Arblaster, J., Liu, D., Miro, J. and Chenoweth, L., “A Multi-Stage Shared Control Method for an Intelligent Mobility Assistant,” Proceedings of the 9th International Conference on Rehabilitation Robotics (ICORR) (2005) pp. 426–429.Google Scholar
109. Tang, A. and Cao, Q., “Motion control of walking assistant robot based on comfort,” Ind. Robot: Int. J. 39 (6), 564579 (2012).Google Scholar