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A Review of Smart Technologies Embedded in Shoes

  • Mobile & Wireless Health
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Abstract

Technological advancements in wearable devices have revolutionized smart shoes. Smart shoes are sometimes referred to as intelligent shoes or computer-based shoes. They are capable of recognizing and recording data from day-to-day activities by the user. Such smart shoes are designed with sensors, vibrating motors, GPS, wireless systems, and various other sensors/actuators for the comfort and benefit of the wearer. In the current manuscript, we are reviewing various technologies that are implemented in smart shoes.

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References

  1. Wood, T.L., Smart shoes. US Patent 5,373,651, 1994.

  2. Gatto, A., and Frontoni, E., In: 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), pp. 1–6: IEEE, 2014.

  3. Seo, S. H., and Jang, S. W., Design and implementation of a smart shoes module based on arduino. Journal of the Korea Institute of Information and Communication Engineering 19(11):2697, 2015.

    Article  Google Scholar 

  4. Kong, K., Bae, J., and Tomizuka, M., In: Sensors and smart structures technologies for civil, mechanical, and aerospace systems (International Society for Optics and Photonics, 2008), Vol 6932, p. 69322G, 2008.

  5. Jung, P. G., Lim, G., and Kong K., In: 2013 IEEE international conference on robotics and automation, pp. 692–697: IEEE, 2013.

  6. Jung, P. G., Oh, S., Lim, G., and Kong K., A mobile motion capture system based on inertial sensors and smart shoes. Journal of Dynamic Systems, Measurement and Control 136(1), 2014.

  7. Wasekar, D. M., Thakare, P. D., Bijwe, R., Lechal footwear technology, 2016.

  8. Larkin, R., Meet the new “talking shoes” by google. https://www.esoftload.info/meet-the-new-talking-shoes-by-google, 2016.

  9. Zhang, Z., Zhu, Z., Bazor, B., Lee, S., Ding, Z., and Pan, T., Feetbeat: A exible iontronic sensing wearable detects pedal pulses and muscular activities. IEEE Trans. Biomed. Eng. 66(11):3072, 2019.

    Article  Google Scholar 

  10. Liszewski, A., Reebok pumps are back and aren’t as hideous or expensive any more. https://gizmodo.com/reebok-pumps-are-back-and-arent-as-hideous-or-expensive-1689855875, 2015.

  11. Jegede, O., Ferens, K., Griffith, B., Podaima, B., In: Int’l Conf. Health informatics and medical systems, pp. 47–54, 2015.

  12. Gralewicz, G., Owczarek, G., An inventory of selected electronic, textronic, mechatronic and ict-based solutions for safety-related applications in smart working environments. Material oprac w CIOP-PIB, 2015.

  13. Xia, H., Charlton, J., Hunt, M., and Shull, P., Preliminary test of a smart shoe for training foot progression angle during walking. Osteoarthritis Cartilage 27:S64, 2019.

    Article  Google Scholar 

  14. Lee, S. I., Park, E., Huang, A., Mortazavi, B., Garst, J. H., Jahanforouz, N., Espinal, M., Siero, T., Pollack, S., Afridi, M., et al., Objectively quantifying walking ability in degener- ative spinal disorder patients using sensor equipped smart shoes. Medical Engineering & Physics 38(5):442, 2016.

    Article  Google Scholar 

  15. Chinimilli, P. T., Redkar, S., and Zhang, W., In: 2017 American Control Conference (ACC), pp. 1462–1467: IEEE, 2017.

  16. Zerin, I., Lpcoms: Towards a low power wireless smart-shoe system for gait analysis in people with disabilities, 2015.

  17. Venture, S., Iofit shoes. Retrieved May 3, 2017, 2017.

  18. Pham, C., Diep, N. N., and Phuong, T. M., In: 2017 9th International Conference on Knowledge and Systems Engineering (KSE), pp. 269–274: IEEE, 2017.

  19. Gupta, A., and Sharma, A., Piezoelectric energy harvesting via shoe sole. International Journal of New Technology and Research 1(6), 2015.

  20. Shu, L., Hua, T., Wang, Y., Li, Q., Feng, D. D., and Tao, X., In-shoe plantar pressure measure- ment and analysis system based on fabric pressure sensing array. IEEE Transactions on Information Technology in Biomedicine 14(3):767, 2010.

    Article  Google Scholar 

  21. Eskofier, B. M., Lee, S. I., Baron, M., Simon, A., Martindale, C. F., Gaßner, H., and Klucken, J., An overview of smart shoes in the internet of health things: Gait and mobility assessment in health promotion and disease monitoring. Appl. Sci. 7(10):986 , 2017.

    Article  Google Scholar 

  22. Nguyen, L. V., La, H. M., Sanchez, J., and Vu, T., A smart shoe for building a real-time 3d map. Autom. Constr. 71:2, 2016.

    Article  Google Scholar 

  23. Foxlin, E., Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graphics and Applications 25(6):38, 2005.

    Article  Google Scholar 

  24. Sazonova, N. A., Browning, R., and Sazonov, E. S., Prediction of bodyweight and energy expenditure using point pressure and foot acceleration measurements. The Open Biomedical Engineering Journal 5: 110, 2011.

    Article  Google Scholar 

  25. Chandekar, T., Chouhan, R., Gaikwad, R., Gosavi, H., and Darade, S., Implementation of obstacle detection and navigation system for visually impaired using smart shoes. International Research Journal of Engineering and Technology (IRJET) 4(4), 2017.

  26. Nguyen, L. V., and La, H. M., In: Proc. 32nd Int. Symp. Autom. Robot. Construction Mining (ISARC), pp. 1–8, 2015.

  27. Park, E., Lee, S. I., Nam, H. S., Garst, J. H., Huang, A., Campion, A., Arnell, M., Ghalehsariand, N., Park, S., Chang, H. J., et al., Unobtrusive and continuous monitoring of alcohol- impaired gait using smart shoes. Methods of Information in Medicine 56(01):74, 2017.

    Article  Google Scholar 

  28. Zhang, W., Tomizuka, M., and Byl, N., In: ASME 2014 Dynamic Systems and Control Conference (American Society of Mechanical Engineers Digital Collection), 2014.

  29. Majumder, J. A., Zerin, I., Tamma, C. P., and Ahamed, S.I., In: 2015 IEEE Great Lakes Biomedical Conference (GLBC), pp. 1–4: IEEE, 2015.

  30. Hodapp, C., Edgar, S. R., Fulk, G., and Sazonov, E., In: International Conference on Environment Science and Engieering, Vol 32, pp. 177–181, 2012.

  31. Armstrong, D. G., Subscription prescription: Remote patient monitoring using smart shoes socks and insoles, 2019.

  32. Delgado-Gonzalo, R., Hubbard, J., Renevey, P., Lemkaddem, A., Vellinga, Q., Ashby, D., Willardson, J., and Bertschi, M., In: 2017 39th annual international conference of the IEEE engineering in medicine and biology society (EMBC), pp 148–148c: IEEE, 2017.

  33. Rouhani, H., Favre, J., Crevoisier, X., and Aminian, K., Ambulatory measurement of ankle kinetics for clinical applications. Journal of Biomechanics 44(15):2712, 2011.

    Article  CAS  Google Scholar 

  34. Matassa, A., and Manuguerra, V., In: Adjunct Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing and proceedings of the 2015 ACM International symposium on wearable computers, 2015, pp 663–668.

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Authors and Affiliations

  1. K. J. Somaiya College of Engineering, Mumbai, India

    Drashti Gokalgandhi, Laxit Kamdar, Neel Shah & Ninad Mehendale

Authors
  1. Drashti Gokalgandhi
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  2. Laxit Kamdar
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  3. Neel Shah
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  4. Ninad Mehendale
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Corresponding author

Correspondence to Ninad Mehendale.

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Authors N. Mehendale, L. Kamdar, N. Shah declares that he has no conflict of interest also author D. Gokalgandhi declares that she has no conflict of interest as well.

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This article does not contain any studies with animals performed by any of the authors. And also this article does not contain any studies with human participants or animals performed by any of the authors.

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Gokalgandhi, D., Kamdar, L., Shah, N. et al. A Review of Smart Technologies Embedded in Shoes. J Med Syst 44, 150 (2020). https://doi.org/10.1007/s10916-020-01613-7

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