Abstract
The usual solution to mobility problems for the elderly lies in the use of conventional canes and walkers. However, when the older adult also has vision problems, these devices are not sufficient to provide safe walking, and the senior suffers from constant falls. This article proposes a smart walker based on artificial vision for indoor use in nursing homes that safely enables autonomous mobility for visually impaired seniors. The walker has been equipped with activation switches on the handlebars, ultrasonic sensors, a Kinect visual sensor, traction motors, and a controller. The control algorithm is based on reactive navigation, odometry and artificial vision and is designed to avoid obstacles and detect dangerous situations such as stairs. The control unit is a Raspberry Pi running Raspbian and relies on message passing between processes and visualization. The prototype of the smart walker is implemented in the nursing home “Luis Maldonado Tamayo” (Pujilí-Ecuador), where tests are being carried out with elderly persons who still have motor skills and some partial vision impairment. The walker can effectively detect obstacles in a distance range from 50 – 86 cm. Almost 90% of small, 96% medium, and 98% dynamics obstacles are avoided. The demonstration video is available at https://youtu.be/MJzvzIily4k.
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References
Schwanen, T., Páez, A.: The mobility of older people – an introduction. J. Transp. Geogr. 18, 591–595 (2010)
Whelan, M., Langford, J., Oxley, J., Koppel, S., Charlton, J.: The elderly and mobility: a review of the literature (2006)
Organization, W.H., Ageing, W.H.O., Unit, L.C.: WHO global report on falls prevention in older age. World Health Organization (2008)
Tagawa, Y., Shiba, N., Matsuo, S., Yamashita, T.: Analysis of human abnormal walking using a multi-body model: joint models for abnormal walking and walking aids to reduce compensatory action. J. Biomech. 33, 1405–1414 (2000)
Gell, N.M., Wallace, R.B., Lacroix, A.Z., Mroz, T.M., Patel, T.M.: Mobility device use in older adults and incidence of falls and worry about falling: findings from the 2011–2012 national health and aging trends study. J. Am. Geriatr. Soc. 63(5), 853–859 (2015). https://doi.org/10.1111/jgs.13393
Costa, N., Caldwell, D.G.: Control of a biomimetic” soft-actuated” 10dof lower body exoskeleton. In: The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2006, pp. 495–501 (2006)
Mundt, M., Batista, J.P., Markert, B., Bollheimer, C., Laurentius, T.: Walking with rollator: a systematic review of gait parameters in older persons. Eur. Rev. Aging Phys. Activity 16 (2019)
Sierra, M., Jimenez, S.D., Frizera-Neto, A., Munera, M., Cifuentes, C.A.: Control strategies for human–robot–environment interaction in assisted gait with smart walkers. In: Interfacing Humans and Robots for Gait Assistance and Rehabilitation, pp. 259–286. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-79630-3_10
Page, S., Saint-Bauzel, L., Rumeau, P., Pasqui, V.: Smart walkers: an application-oriented review. Robotica 35(6), 1243–1262 (2017). https://doi.org/10.1017/S0263574716000023
Aristizabal-Aristizabal, J., Ferro-Rugeles, R., Lancheros-Vega, M., Sierra M., S.D., Múnera, M., Cifuentes, C.A.: Fundamentals for the design of smart walkers. In: Interfacing Humans and Robots for Gait Assistance and Rehabilitation, pp. 121–141. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-79630-3_4
Alves, J., Seabra, E., Caetano, I., Santos, C.P.: Overview of the ASBGo++ Smart Walker. In: ENBENG 2017 – 5th Portuguese Meeting on Bioengineering, Proceedings (2017)
Morris, A., Donamukkala, R., Kapuria, A., Steinfeld, A., Matthews, J.T., Dunbar-Jacob, J., Thrun, S.: A robotic walker that provides guidance. In: 2003 IEEE International Conference on Robotics and Automation (Cat. No. 03CH37422), pp. 25–30 (2003)
Werner, C., Moustris, G.P., Tzafestas, C.S., Hauer, K.: User-oriented evaluation of a robotic rollator that provides navigation assistance in frail older adults with and without cognitive impairment. Gerontology 64, 278–290 (2018)
Andre, J., et al.: Markerless gait analysis vision system for real-time gait monitoring. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2020, pp. 269–274 (2020)
Gill, S., Nssk, S., Seth, N., Scheme, E.: Design of a smart IoT-enabled walker for deployable activity and gait monitoring. In: 2018 IEEE Life Sciences Conference, LSC 2018, pp. 183–186 (2018)
Frizera, A., Ceres, R., Pons, J.L., Abellanas, A., Raya, R.: The smart walkers as geriatric assistive device: the simbiosis purpose. In: Proceedings of the 6th International Conference of the International Society for Gerontechnology, pp. 1–6 (2008)
Mostofa, N., et al.: A Smart Walker for People with Both Visual and Mobility Impairment. Sensors 21(10), 3488 (2021). https://doi.org/10.3390/s21103488
Wachaja, A., Agarwal, P., Zink, M., Adame, M.R., Moller, K., Burgard, W.: Navigating blind people with a smart walker. In: IEEE International Conference on Intelligent Robots and Systems, pp. 6014–6019 (2015)
Cortés, U., et al.: A SHARE-it service to elders’ mobility using the i-Walker. Gerontechnology 7, 95 (2008)
Ferrari, F., et al.: Human–robot interaction analysis for a smart walker for elderly: the ACANTO interactive guidance system. Int. J. Soc. Robot. 12(2), 479–492 (2020)
Ramachandran, S., Sahin, F.: Smart Walker V: implementation of RTAB-Map Algorithm. In: 2019 14th Annual Conference System of Systems Engineering (SoSE). IEEE (2019)
Zhao, X., et al.: A smart robotic walker with intelligent close-proximity interaction capabilities for elderly mobility safety. Front. Neuroroboti. 14 (2020)
Chowdhary, G., Gazzola, M., Krishnan, G., Soman, C., Lovell, S.: Soft robotics as an enabling technology for agroforestry practice and research. Sustainability 11(23), 6751 (2019)
de Busch, T., et al.: Factors associated with lower gait speed among the elderly living in a developing country: a cross-sectional population-based study. BMC Geriatrics 15 (2015)
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Guamushig-Laica, J., Jerez-Gavilánez, M., Mendoza-Chipantasi, D., Mariño-Salguero, J. (2022). Indoor Smart Walker Based on Artificial Vision for the Autonomous Movement of Seniors with Mobility Problems and Reduced Vision. In: Narváez, F.R., Proaño, J., Morillo, P., Vallejo, D., González Montoya, D., Díaz, G.M. (eds) Smart Technologies, Systems and Applications. SmartTech-IC 2021. Communications in Computer and Information Science, vol 1532. Springer, Cham. https://doi.org/10.1007/978-3-030-99170-8_6
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