Summary
Lately smart shoes have also become a kind of a fashion for the general public and athletes. However, leggs and feet diseases are more common problems among elderly people as time progresses and to those with certain feet disabilities [1], so smart shoes may offer some comfort to their situation. In particular people with osteoarthritis suffer for movement of the cartilage in a joint wears away over time causing bones to rub against each other [2]. In addition, arthritis is the leading cause of disability for the elderly in the United States of America [2]. Thus, a cause of osteoarthritis is mainly from poor gait, otherwise known as walking patterns, where there is unevenly distributed pressure across the foot while walking. This leads to development of severe pain in the knees over time which progressively gets worse. The uneven wear and tear to the knee cartilage is the specific cause of Osteoarthritis. According to the Centers for Disease Control and Prevention (CDC), more than 50 million adults have been diagnosed with Arthritis, i.e., approximately 1 in 5 adults ( C for Disease Control and Prevention, “Arthritis national statistics,” 2018. https://www.cdc.gov/arthritis/data_statistics/national-statistics.html). The CDC also predicts that by 2040, more than 78 million people will be diagnosed with Arthritis ( C for Disease Control and Prevention, “Arthritis national statistics,” 2018. https://www.cdc.gov/arthritis/data_statistics/national-statistics.html).
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References
C for disease control and prevention arthritis national statistics (2018)https://www.cdc.gov/arthritis/data_statistics/national-statistics.html
A foundation what is arthritis? [Online] https://www.arthritis.org/health-wellness/about- arthritis/understanding-arthritis/what-is-arthritis
L.B. Murphy, M.G. Cisternas, D.J. Pasta, C.G. Helmick, E.H. Yelin, Medical expenditures and earnings losses among us adults with arthritis in 2013. Arthritis Care Res. 70(6), 869–876 (2018)
D.M. Schofield et.al., The long-term economic impacts of arthritis through lost productive life years: results from an Australian microsimulation model. BMC public health, 18(1), 1–10 (2018)
A. foundation arthritis by the numbers. [Online]. (2019)https://www.arthritis.org/getmedia/e1256607-fa87-4593-aa8a-8db4f291072a/2019-abtn-final-march-2019.pdf
N. Vignesh, et al., Smart shoe for visually impaired person. Int. J. Eng. Technol. 7(3.12), 116–119 (2018)
P. Vijayakumar, et al., IOT based wireless smart shoe and energy harvesting system. Int. J. Innov. Technol. Explor. Eng. (IJITEE) 8(7) May, ISSN: 2278–3075 (2019)
T. Wood, U.S.A. patent smart shoes, sensing force, U.S. 5373651 (1994)
Yong Won Yang, U.S.A. patent smart shoes, temperature and pressure measurement, U.S.104763483 (2019)
B.M. Eskofier, et al. An overview of smart shoes in the internet of health things: gait and mobility assessment in health promotion and disease monitoring. Appl. Sci. (2017)
Yongjiu Zou, et al. Triboeletric Nanogenerator enable smart shoes for wearable electricity generation, AAAS Research, ID 7158953 (2020)
R. Anil Shinde, Smart shoes: walking towards a better future. Int. J. Eng. Res. Technol. (IJERT) 8(07) (2019)http://www.ijert.org ISSN: 2278–0181 IJERTV8IS070167
S. Rastogi, Smart assistive shoes and cane: solemates for the blind people. Int. J. Adv. Res. Electron. Commun. Eng. (IJARECE) 6(4), (2017)
R. Riemer, A. Shapiro, Biomechanical energy harvesting from human motion: theory, state of the art, design guidelines, and future directions. J. Neuro-Eng. Rehabil. 8(22), (2011)
J. Zhao, Z. You, A Shoe-embedded piezoelectric energy harvester for wearable sensors. Sens.S. 14, 12497–12510 (2014). https://doi.org/10.3390/s140712497
M. Placer, S. Kovacic, Enhancing indoor inertial pedestrian navigation using a shoe-worn marker. Sens.S. 13, 9836–9859, (2013). https://doi.org/10.3390/s130809836.
Fangmin Li, 3D Tracking via shoe sensing, Sens.S. 16, 1809 (2016). https://doi.org/10.3390/s16111809
S. Jain, et al. Look-up: enabling pedestrian safety services via shoe sensing. (MobiSys, Florence, Italy, 2015). https://doi.org/10.1145/2742647.2742669.
H. Nagano, R.K. Begg, Shoe-insole technology for Injury prevention in walking. Sens.S. 18, 1468 (2018). https://doi.org/10.3390/s18051468
V. Sharma, Y. Tomar, D. Vydeki, Smart shoe for women’s safety. (School of Engineering, VIT, Chennai, IN, 2016), Vishesh.sharma2016@vitstudent.ac.in.
M. Ren et al., A novel pedestrian navigation algorithm for a foot-mounted inertial-sensor-based system. Sens.S. 16, 139 (2016). https://doi.org/10.3390/s16010139
P.H. Truong, et al., Stride counting in human walking and walking distance estimation using insole sensors. Sens.S. 16 (2016).https://doi.org/10.3390/s16060823.
J. Sudharshan, G. Goodman, N. Bourbakis, Smart shoes for temporal identification and corrections to assist people with abnormal walking patterns, in Proceedings of IEEE Conference on BIBE-2020, (USA, 2020)
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Bourbakis, N.G., Ktistakis, I.P., Khursija, P. (2022). Smart Shoes for Assisting People: A Short Survey. In: Tsihrintzis, G.A., Virvou, M., Esposito, A., Jain, L.C. (eds) Advances in Assistive Technologies. Learning and Analytics in Intelligent Systems, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-87132-1_8
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