The Impact of Ergonomic Design on Smart Garments

  • Rachel S. BoldtEmail author
  • Luisa M. Arruda
  • Yao Yu
  • Helder Carvalho
  • Miguel A. F. Carvalho
  • Fernando B. N. Ferreira
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1026)


This paper reports the design process of a smart garment, which comprised 3-lead sEMG (Surface Electromyography) electrodes. The ergonomic design is central for a proper monitoring response because it is a related with the stability and very well contacted between the electrode and the user’ body. For this, different body postures and the t-shirt behavior on the body was studied and simulated using a virtual prototype. This approach contributed to understanding ways to solving problems related to fit and the electrodes’ stabilization. Furthermore, physical and electronic tests using a prototype on a human subject were conducted. The real prototype presented positive results on the EMG monitoring, showing the impact of ergonomic design on the smart garment. The EMG system was tested and presented good results, especially in regular movements. However, the system still needs to be improved in order to get a better signal when it comes to movements without pauses.


EMG Fit Vital monitoring Textile electrode 



This work is financed by Project “Deus ex Machina”, NORTE-01-0145-FEDER-000026, funded by CCDRN, through Sistema de Apoio à Investigação Cientifica e Tecnológica (Projetos Estruturados I&D&I) of Programa Operacional Regional do Norte, from Portugal 2020 and by Project UID/CTM/00264/2019 of 2C2T – Centro de Ciência e Tecnologia Têxtil, funded by National Founds through FCT/MCTES”.

We also want to thank colleagues Ricardo Moreira for testing the shirt on his body and André Paiva for the knowledge shared with the team.


  1. 1.
    De la Peña, S., Polo, A., Robles-Algarín, C.: Implementation of a portable electromyographic prototype for the detection of muscle fatigue. Electronics 619, 2–15 (2019)Google Scholar
  2. 2.
    Jordanić, M., Rojas-Martínez, M., Mañanas, M., Alonso, J., Marateb, H.: A novel spatial feature for the identification of motor tasks using high-density electromyography. Sensors 17(7), 1597 (2017)CrossRefGoogle Scholar
  3. 3.
    MacLean, K.F.E., Dickerson, C.R.: Kinematic and EMG analysis of horizontal bimanual climbing in humans. J Biomech. (2019)Google Scholar
  4. 4.
    Kim, H., Lee, J., Kim, J.: Electromyography-signal-based muscle fatigue assessment for knee rehabilitation monitoring systems. Biomed. Eng. Lett. 8(4), 345–353 (2018)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Trindade, T.B., de Medeiros, J.A., Dantas, P.M.S., de Oliveira Neto, L., Schwade, D., de Brito Vieira, W.H., et al.: A comparison of muscle electromyographic activity during different angles of the back and front squat. Isokinet Exerc. Sci. Pre-Press., 1–8 (2019)Google Scholar
  6. 6.
    Taelman, J., Adriaensen, T., van der Horst, C., Linz, T., Spaepen, A.: Textile Integrated contactless EMG sensing for stress analysis. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3966–3969. IEEE Press, New York (2007)Google Scholar
  7. 7.
    Finni, T., Hu, M., Kettunen, P., Vilavuo, T., Cheng, S.: Measurement of EMG activity with textile electrodes embedded into clothing. Physiol. Meas. 28(11), 1405 (2007)CrossRefGoogle Scholar
  8. 8.
    Manero, R.B.R., Shafti, A., Michael, B., Grewal, J., Fernandez, J.L.R., Althoefer, K., et al.: Wearable embroidered muscle activity sensing device for the human upper leg. In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6062–6065. IEEE Press, New York (2016)Google Scholar
  9. 9.
    Paiva, A., Catarino, A., Carvalho, H., Postolache, O., Postolache, G., Ferreira, F.: Design of a long sleeve t-shirt with ECG and EMG for athletes and rehabilitation patients. In: Machado, J., Soares, F., Veiga, G. (eds.) Innovation Engineering and Entrepreneurship. Lecture Notes in Electrical Engineering, vol. 505, pp. 244–250. Springer, Cham (2019)CrossRefGoogle Scholar
  10. 10.
    Paiva, A., Ferreira, F., Catarino, A., Carvalho, M., Carvalho, H.: Design of smart garments for sports and rehabilitation. In: IOP Conference Series Materials Science Engineering, vol. 459, no. 1 (2019)CrossRefGoogle Scholar
  11. 11.
    Harms, H., Amft, O., Troster, G.: Influence of a loose-fitting sensing garment on posture recognition in rehabilitation. In: Proceedings IEEE-BIOCAS Biomedical Circuits and Systems Conference, pp. 353–356. IEEE Press, New York (2008)Google Scholar
  12. 12.
    Hernández, N.: Does It Really fit? Improve, Find and Evaluate Garment fit, Stema Specialtryck, vol. 25. University of Borås, Sweden (2018)Google Scholar
  13. 13.
    Fan, J., Yu, W., Hunter, L.: Clothing Appearance and Fit: Science and Technology. Woodhead Publishing in Textiles, Cambridge (2004)CrossRefGoogle Scholar
  14. 14.
    Zhang, Y., Wang, C.C.L., Ramani, K.: Optimal fitting of strain-controlled flattenable mesh surfaces. Int. J. Adv. Manuf. Technol., 87(9–12), 2873–2887 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Rachel S. Boldt
    • 1
    Email author
  • Luisa M. Arruda
    • 1
  • Yao Yu
    • 1
  • Helder Carvalho
    • 1
  • Miguel A. F. Carvalho
    • 1
  • Fernando B. N. Ferreira
    • 1
  1. 1.2C2T – Centro de Ciência E Tecnologia TêxtilUniversity of MinhoGuimaraesPortugal

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