Journal of the Korean Society of Clothing and Textiles (한국의류학회지)

The Korean Society of Clothing and Textiles (한국의류학회)
권호 표지
DOI QR코드

DOI QR Code

The Development of a Wearable Prototype to Measure Clothing Pressure through Sensor Calibration Procedure

  • Jin, Heejae (Dept. of Fashion Design and Merchandising, Kongju National University) ;
  • Lee, Hyojeong (Dept. of Fashion Design and Merchandising, Kongju National University)
  • Received : 2022.04.01
  • Accepted : 2022.07.22
  • Published : 2022.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Clothing pressure is considered the essential factor affecting the comfort of clothing, so it is crucial that it is measured precisely. The purpose of this study is to construct a prototype using the Adafruit Flora as the Arduino system, which can be used as a wearable framework for easy, low-cost, and precise clothing pressure measurement. The study also aims to determine how best to conduct the procedure of sensor calibration. To optimize the accuracy of the sensors, the calibration procedure was implemented using mathematical methods that combined polynomial and exponential regression in a hybrid approach. The prototype can easily measure clothing pressure even during active movements, as seen in the detection of stable signals. In addition, since the system was specifically proposed as a wearable patch that can be easily attached and removed as necessary, it can also be used to standardize the value of clothing pressure in each movement.

Keywords

Acknowledgement

This study received funds from research program for cultivating follow-up generation through the National Research Foundation (NRF-2020R1A6A3A01095910).

References

  1. Andrade, P. B., Cruvinel, P. E., & Penaloza, E. A. G. (2018). Module for virtual calibration of sensors of agricultural spraying systems (temperature, pressure and flow) using an Arduino-based architecture and a controller area network bus (CAN). Proceedings of 2018 IEEE 12th International Conference on Semantic Computing (ICSC), USA, 352-357. doi:10.1109/ICSC.2018.00072
  2. Areces, F., Salinero, J. J., Abian-Vicen, J., Gonzalez-Millan, C., Ruiz-Vicente, D., Lara, B., ... & Del Coso, J. (2015). The use of compression stockings during a marathon competition to reduce exercise-induced muscle damage: Are they really useful? Journal of Orthopaedic & Sports Physical Therapy, 45(6), 462-470. doi:10.2519/jospt.2015.5863
  3. D'Ausilio, A. (2012). Arduino: A low-cost multipurpose lab equipment. Behavior Research Methods, 44(2), 305-313. doi:10.3758/s13428-011-0163-z
  4. Edwards, J. R. (2007). Polynomial regression and response surface methodology. In C. Ostroff, & T. A. Judge (Eds.), Perspectives on organizational fit (pp. 361-372). San Francisco, CA: Jossey-Bass.
  5. Florez, J. A., & Velasquez, A. (2010). Calibration of force sensing resistors (fsr) for static and dynamic applications. Proceedings of 2010 IEEE ANDESCON, Colombia, 1-6. doi:10.1109/ANDESCON.2010.5633120
  6. Hartman, K. (2014). Make: Wearable electronics: Design, prototype, and wear your own interactive garments. Sebastopol, CA: Maker Media, Inc.
  7. Jutila, M., Rivas, H., Karhula, P., & Pantsar-Syvaniemi, S. (2014). Implementation of a wearable sensor vest for the safety and well-being of children. Procedia Computer Science, 32, 888-893. doi:10.1016/j.procs.2014.05.507
  8. Lee, Y., & Hong, K. (2013). Development of indirect method for clothing pressure measurement using three-dimensional imaging. Textile Research Journal, 83(15), 1594-1605. doi:10.1177/0040517512470193
  9. Liu, R., Lao, T. T., Kwok, Y. L., Li, Y., & Ying, M. T. C. (2008). Effects of graduated compression stockings with different pressure profiles on lower-limb venous structures and haemodynamics. Advances in Therapy, 25(5), 465-478. doi: 10.1007/s12325-008-0058-2
  10. Luo, S., Wang, J., Shi, H., & Yao, X. (2016). A novel approach to characterize dynamic pressure on lower limb wearing compression cycling shorts. The Journal of The Textile Institute, 107(8), 1004-1013. doi:10.1080/00405000.2015.1078114
  11. Marshall, C., Kelley, J., & Turnbull, C. (2019). Improv performance with Wi-Fi enabled costume lights Proceedings of 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), USA, 0163-0168. doi:10.1109/UEMCON47517.2019.8992987
  12. Marveldex. (2020, July 28). Marveldex Technical specification - H161107 [PDF document]. Marveldex. Retrieved from https://www.dropbox.com/sh/plf26riojqofde8/AAAAjEBI_fvsqV9e_Qpyq3Fta?dl=0&preview=MarvelDex_ForceSensor_TechSpec_H161107_(ENG).pdf
  13. Oner, E., Durur, G., & Cansunar, H. E. (2018). A new technique to measure pressure in medical compression stockings. Textile Research Journal, 88(22), 2579-2589. doi:10.1177/0040517517725121
  14. Oudshoorn, B. Y., Driscoll, H. F., Dunn, M., & James, D. (2016). Pressure sensor calibration for measuring stud-player impacts. Procedia Engineering, 147, 688-693. doi:10.1016/j.proeng.2016.06.273
  15. Randhawa, P., Shanthagiri, V., Mour, R., & Kumar, A. (2018). Design and development of smart-jacket for posture detection. Proceedings of 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE), Malaysia, 1-5. doi:10.1109/ICSCEE.2018.8538384
  16. Song, M., & Vega, K. (2018). HeartMe: Thermochromic display as an expression of heart health. Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems, Hong Kong, 311-314. doi:10.1145/3197391.3205393
  17. Technox Inc. (n.d.). Clothing pressure measurement system. Technox Inc. Retrieved from http://www.technox.co.kr/portfolio-items/%ec%9d%98%eb%b3%b5%ec%95%95-%ec%b8%a1%ec%a0%95%ea%b8%b0/.
  18. Wahl, P., Bloch, W., Mester, J., Born, D.-P., & Sperlich, B. (2012). Effects of different levels of compression during sub-maximal and high-intensity exercise on erythrocyte deformability. European Journal of Applied Physiology, 112(6), 2163-2169. doi:10.1007/s00421-011-2186-7
  19. Wang, J., Zhong, B., & Wang, H. (2019). Measuring garment pressure at any point using a wearable sensor. Journal of Engineered Fibers and Fabrics, 14, 1-8. doi:10.1177/1558925019879290
  20. Wang, Y., Cui, Y., Zhang, P., Feng, X., Shen, J., & Xiong, Q. (2011). A smart mannequin system for the pressure performance evaluation of compression garments. Textile Research Journal, 81(11), 1113-1123. doi:10.1177/0040517511398942
  21. Wei, B.-C., & Zhu, H.-T. (1997). Some second order asymptotics in exponential family non-linear regression models (a geometric approach). Australian Journal of Statistics, 39(2), 129-148. doi:10.1111/j.1467-842X.1997.tb00531.x