Abstract
Owing to technological advancements in medicine and nursing, an aging population has emerged in Japan. Consequently, the elderly need extra care and support from their caregivers. This study develops an autonomous forearm-supported walker for users who can handle the walker without any support. The three main functions of the proposed walker include moving with the weight support of the user, assisting the user in walking, and autonomous driving. These functions are expected to assist the patient in walking, hence reducing the burden on the nursing staff. In this study, we experimented on the degree of support in straight-line walking using the walking support function of the proposed walker. The effect of the walking support function was confirmed by measuring the muscle activity of five muscles of the subject’s lower limbs. In addition, we confirmed the accuracy of the autonomous driving function by checking the results of the self-position estimation during 90 turns and forward movement. Additionally, we conducted a route driving experiment that confirmed the possibility of driving without a significant deviation from the set route.















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Ministry of Health, Labour and Welfare (2019) Handbook of health and welfare statistics. https://www.mhlw.go.jp/english/database/db-hh/1-2.html. Accessed 5 Apr 2021
Mishra R, Arshad J (2018) ROS based service robot platform. In: 2018 Fourth international conference on control, automation and robotics (ICCAR), pp 55–59
Zhang Y, Wang H, Xu F (2017) Object detection and recognition of intelligent service robot based on deep learning. In: 2017 IEEE international conference on cybernetics and intelligent systems (CIS) and IEEE conference on robotics, automation and mechatronics, pp 171–176. https://doi.org/10.1109/ICCIS.2017.8274769.
Kikuchi T, Tanaka T, Tanida S, Kobayashi K, Mitobe K (2010) Basic study on gait rehabilitation system with intelligently controllable walker (i-Walker). IEEE Int Conf Robot Biomimetics 2010:277–282. https://doi.org/10.1109/ROBIO.2010.5723340
Cifuentes CA, Rodriguez C, Frizera-Neto A, Bastos-Filho TF, Carelli R (2014) Multimodal human-robot interaction for walker-assisted gait. IEEE Syst J 10(3):933–943
Hu RZL, Hartfiel A, Tung J, Fakih A, Hoey J, Poupart P (2011) 3D Pose tracking of walker users’ lower limb with a structured-light camera on a moving platform. In: CVPR 2011 WORKSHOPS (IEEE), pp 29–36
Page S, Martins MM, Saint-Bauzel L, Santos CP, Pasqui (2015) Fast embedded feet pose estimation based on a depth camera for smart walker. In: 2015 IEEE international conference on robotics and automation (ICRA) 4224–4229
Hirata Y, Hara A, Kosuge K (2004) Passive-type intelligent walking support system “RT Walker”. In: 2004 IEEE/RSJ international conference on intelligent robots and systems (IROS) (IEEE Cat. No. 04CH37566), vol 4, pp 3871–3876
Hirata Y, Hara A, Kosuge K (2007) Motion control of passive intelligent walker using servo brakes. IEEE Trans Robot 23(5):981–990
Huang J, Koyachi N (2017) Development of a new rollator with a free rotating chest pad integrated with multiple sensors and investigation of its effectiveness on walk assistance. In: 2017 IEEE international conference on robotics and biomimetics (ROBIO), pp 977–982
Huang J, Koyachi N, Ashida H, Harada T (2019) Walk measurements using a novel rollator with a free rotating chest pad and an analysis of its effectiveness in walk assistance. In: 2019 IEEE fifth international conference on mechatronics system and robots (ICMSR), pp 13–17
Lee G, Ohnuma T, Chong NY (2010) Design and control of JAIST active robotic walker. Intell Serv Robot 3(3):125–135
Lee G, Jung EJ, Ohnuma T, Chong NY, Yi BJ (2011) JAIST robotic walker control based on a two-layered kalman filter. In: 2011 IEEE international conference on robotics and automation, pp 3682–3687
Ohnuma T, Lee G, Chong NY (2011) Particle filter based feedback control of JAIST active robotic walker. In: 2011 RO-MAN, pp 264–269
Sierra MSD, Garzón M, Munera M, Cifuentes CA (2019) Human–robot–environment interaction Interface for smart Walker assisted gait: AGoRA Walker. Sensors 19(13):2897
Labbé M, Michaud F (2018) Long-term online multi-session graph-based SPLAM with memory management. Auton Robot 42(6):1133–1150
Li Y, Ang KH, Chong GC (2006) PID control system analysis and design. IEEE Control Syst Mag 26(1):32–41
Obata Y, Takeuchi K, Furuta Y, Kanayama K (2005) Research on better use of wood for sustainable development: quantitative evaluation of good tactile warmth of wood. Energy 30(8):1317–1328
Wastiels L, Schifferstein HN, Heylighen A, Wouters I (2012) Relating material experience to technical parameters: a case study on visual and tactile warmth perception of indoor wall materials. Build Environ 49:359–367
Acknowledgements
We would like to express our sincere gratitude to the Northern Advancement Center for Science & Technology “Sapporo Type Manufacturing Development Promotion Project” for subsidizing part of this study.
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Mori, Y., Yokoyama, S., Yamashita, T. et al. Development of an autonomous forearm-supported walker for nursing facilities. Artif Life Robotics 26, 432–441 (2021). https://doi.org/10.1007/s10015-021-00698-8
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DOI: https://doi.org/10.1007/s10015-021-00698-8