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Stretchable optical fiber strain sensor comprising zinc oxide and PDMS for human motion monitoring

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Abstract

Wearable sensors are extensively used in various healthcare applications, including human motion monitoring. Stretchable, soft, and flexible strain sensors are essential for the fabrication of smart wearable devices for human motion monitoring. In this study, we propose a zinc oxide (ZnO) nanoparticle-composited polydimethylsiloxane (PDMS) polymer fiber with good mechanical properties. This polymer optical fiber was successfully measured for human joints and had a reliability of 99 %. To obtain a calibration curve, the polymer fiber sensor obtained data on the change in optical loss with angle at a resolution of 15° within the 0–90° range. The calibration curve was used in the joint motion monitoring to measure the unknown strain and angle values in real-time. The strain measurement of the ZnO-PDMS optical fiber (ZPOF) sensor is evaluated in various conditions, including human joints, wet conditions, and hand tremors. The results demonstrate that the ZPOF sensor can be used in wearable devices for various healthcare applications, such as rehabilitation, sports, and physical therapy.

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References

  1. C. Glaros and D. I. Fotiadis, Wearable devices in healthcare, Intelligent Paradigms for Healthcare Enterprises, Springer (2005) 237–264.

  2. F. E. Erukainure, V. Parque, M. A. Hassan and A. M. R. FathEl-Bab, Design and experimental testing of a tactile sensor for self-compensation of contact error in soft tissue stiffness measurement, Journal of Mechanical Science and Technology, 36(10) (2022) 5309–5324.

    Article  Google Scholar 

  3. F. E. Erukainure, V. Parque, M. A. Hassan and A. M. R. FathElBab, Estimating the stiffness of kiwifruit based on the fusion of instantaneous tactile sensor data and machine learning schemes, Computers and Electronics in Agriculture, 201 (2022).

  4. F. E. Erukainure, V. Parque, M. A. Hassan and A. M. R. FathElbab, Towards estimating the stiffness of soft fruits using a piezoresistive tactile sensor and neural network schemes, 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Sapporo, Japan (2022) 290–295.

  5. A. Mosenia, S. Sur-Kolay, A. Raghunathan and N. K. Jha, Wearable medical sensor-based system design: A survey, IEEE Transactions on Multi-Scale Computing Systems, 3(2) (2017) 124–138.

    Article  MATH  Google Scholar 

  6. D. Park and S. Kang, Development of reusable and expandable communication for wearable medical sensor network, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE (2004).

  7. Y. Khan, A. E. Ostfeld, C. M. Lochner, A. Pierre and A. C. Arias, Monitoring of vital signs with flexible and wearable medical devices, Adv. Mater., 28(22) (2016) 4373–4395.

    Article  Google Scholar 

  8. M. Chen, Y. Ma, S. Ullah, W. Cai and E. Song, ROCHAS: robotics and cloud-assisted healthcare system for empty nester, Proceedings of the 8th International Conference on Body Area Networks (2013).

  9. M. Xie, K. Hisano, M. Zhu, T. Toyoshi, M. Pan, S. Okada, O. Tsutsumi, S. Kawamura and C. Bowen, Flexible multifunctional sensors for wearable and robotic applications, Advanced Materials Technologies, 4(3) (2019) 1800626.

    Article  Google Scholar 

  10. J. Kwon, J.-H. Park, S. Ku, Y. Jeong, N.-J. Paik and Y.-L. Park, A soft wearable robotic ankle-foot-orthosis for post-stroke patients, IEEE Robotics and Automation Letters, 4(3) (2019) 2547–2552.

    Article  Google Scholar 

  11. A. Avci, S. Bosch, M. Marin-Perianu, R. Marin-Perianu and P. Havinga, Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey, 23th International Conference on Architecture of Computing Systems 2010, Hannover, Germany (2010).

  12. Y.-L. Hsu, S.-C. Yang, H.-C. Chang and H.-C. Lai, Human daily and sport activity recognition using a wearable inertial sensor network, IEEE Access, 6 (2018) 31715–31728.

    Article  Google Scholar 

  13. T. Zhang, J. Lu, F. Hu and Q. Hao, Bluetooth low energy for wearable sensor-based healthcare systems, 2014 IEEE Healthcare Innovation Conference (HIC), Seattle, USA (2014).

  14. J. Zhao and G. Li, Study on real-time wearable sport health device based on body sensor networks, Computer Communications, 154 (2020) 40–47.

    Article  Google Scholar 

  15. N. Choe, H. Zhao, S. Qiu and Y. So, A sensor-to-segment calibration method for motion capture system based on low cost MIMU, Measurement, 131 (2019) 490–500.

    Article  Google Scholar 

  16. S. Liu, J. Zhang, Y. Zhang and R. Zhu, A wearable motion capture device able to detect dynamic motion of human limbs, Nature Communications, 11(1) (2020) 1–12.

    Google Scholar 

  17. A. Mazzoldi, D. De Rossi, F. Lorussi, E. P. Scilingo and R. Paradiso, Smart textiles for wearable motion capture systems, AUTEX Research Journal, 2(4) (2002) 199–203.

    Google Scholar 

  18. S.-H. Bae, Y. Lee, B. K. Sharma, H.-J. Lee, J.-H. Kim and J.-H. Ahn, Graphene-based transparent strain sensor, Carbon, 51 (2013) 236–242.

    Article  Google Scholar 

  19. Y. Wang, T. Yang, J. Lao, R. Zhang, Y. Zhang, M. Zhu, X. Li, X. Zang, K. Wang and W. Yu, Ultra-sensitive graphene strain sensor for sound signal acquisition and recognition, Nano Research, 8(5) (2015) 1627–1636.

    Article  Google Scholar 

  20. Z. Yang, Y. Pang, X.-L. Han, Y. Yang, J. Ling, M. Jian, Y. Zhang, Y. Yang and T.-L. Ren, Graphene textile strain sensor with negative resistance variation for human motion detection, ACS Nano, 12(9) (2018) 9134–9141.

    Article  Google Scholar 

  21. M. Amjadi, A. Pichitpajongkit, S. Lee, S. Ryu and I. Park, Highly stretchable and sensitive strain sensor based on silver nanowire-elastomer nanocomposite, ACS Nano, 8(5) (2014) 5154–5163.

    Article  Google Scholar 

  22. S.-R. Kim, J.-H. Kim and J.-W. Park, Wearable and transparent capacitive strain sensor with high sensitivity based on patterned Ag nanowire networks, ACS Applied Materials and Interfaces, 9(31) (2017) 26407–26416.

    Article  Google Scholar 

  23. K. K. Kim, S. Hong, H. M. Cho, J. Lee, Y. D. Suh, J. Ham and S. H. Ko, Highly sensitive and stretchable multidimensional strain sensor with prestrained anisotropic metal nanowire percolation networks, Nano Lett., 15(8) (2015) 5240–5247.

    Article  Google Scholar 

  24. N. Tang, C. Zhou, D. Qu, Y. Fang, Y. Zheng, W. Hu, K. Jin, W. Wu, X. Duan and H. Haick, A highly aligned nanowire - based strain sensor for ultrasensitive monitoring of subtle human motion, Small, 16(24) (2020) 2001363.

    Article  Google Scholar 

  25. I. Kang, M. J. Schulz, J. H. Kim, V. Shanov and D. Shi, A carbon nanotube strain sensor for structural health monitoring, Smart Materials and Structures, 15 (3) (2006).

  26. W. Qiu, Y. L. Kang, Z. K. Lei, Q. H. Qin, Q. Li and Q. Wang, Experimental study of the Raman strain rosette based on the carbon nanotube strain sensor, Journal of Raman Spectroscopy, 41(10) (2010) 1216–1220.

    Article  Google Scholar 

  27. T. Yamada, Y. Hayamizu, Y. Yamamoto, Y. Yomogida, A. Izadi-Najafabadi, D. N. Futaba and K. Hata, A stretchable carbon nanotube strain sensor for human-motion detection, Nature Nanotechnology, 6(5) (2011) 296–301.

    Article  Google Scholar 

  28. Y. Cai, W. Huang and X. Dong, Wearable and flexible electronic strain sensor, Chinese Science Bulletin, 62(7) (2016) 635–649.

    Google Scholar 

  29. R. Magalhães, J. Pereira, O. Tarasenko, S. Martin-Lopez, M. González-Herráez, W. Margulis and H. Fidalgo Martins, Towards distributed measurements of electric fields using optical fibers: proposal and proof-of-concept experiment, Sensors, 20(16) (2020) 4461.

    Article  Google Scholar 

  30. W.-Y. Jeong and K.-M. Yi, Speckle defect by dark leakage current in nitride stringer at the edge of shallow trench isolation for CMOS image sensors, Transactions on Electrical and Electronic Materials, 10(6) (2009) 189–192.

    Article  Google Scholar 

  31. B. Lee, Review of the present status of optical fiber sensors, Optical Fiber Technology, 9(2) (2003) 57–79.

    Article  MathSciNet  Google Scholar 

  32. I. Hernández-Romano, M. A. Cruz-Garcia, C. Moreno-Hernández, D. Monzón-Hernández, E. O. López-Figueroa, O. E. Paredes-Gallardo, M. Torres-Cisneros and J. Villatoro, Optical fiber temperature sensor based on a microcavity with polymer overlay, Optics Express, 24(5) (2016) 5654–5661.

    Article  Google Scholar 

  33. F. J. Arregui, I. R. Matías, K. L. Cooper and R. O. Claus, Simultaneous measurement of humidity and temperature by combining a reflective intensity-based optical fiber sensor and a fiber bragg grating, IEEE Sens. J., 2(5) (2002) 482–487.

    Article  Google Scholar 

  34. S. A. Wade, S. F. Collins and G. W. Baxter, Fluorescence intensity ratio technique for optical fiber point temperature sensing, Journal of Applied Physics, 94(8) (2003) 4743–4756.

    Article  Google Scholar 

  35. W. Wang, N. Wu, Y. Tian, C. Niezrecki and X. Wang, Miniature all-silica optical fiber pressure sensor with an ultrathin uniform diaphragm, Optics Express, 18(9) (2010) 9006–9014.

    Article  Google Scholar 

  36. D. C. Abeysinghe, S. Dasgupta, J. T. Boyd and H. E. Jackson, A novel MEMS pressure sensor fabricated on an optical fiber, IEEE Photonics Technology Letters, 13(9) (2001) 993–995.

    Article  Google Scholar 

  37. L. Schenato, A. Galtarossa, A. Pasuto and L. Palmieri, Distributed optical fiber pressure sensors, Optical Fiber Technology, 58 (2020) 102239.

    Article  Google Scholar 

  38. Q. Zhao, H.-K. Zheng, R.-Q. Lv, Y.-F. Gu, Y. Zhao and Y. Yang, Novel integrated optical fiber sensor for temperature, pressure and flow measurement, Sensors and Actuators A: Physical, 280 (2018) 68–75.

    Article  Google Scholar 

  39. P. Puangmali, P. Dasgupta, L. D. Seneviratne and K. Althoefer, Miniaturized triaxial optical fiber force sensor for MRI-Guided minimally invasive surgery, 2010 IEEE International Conference on Robotics and Automation, IEEE, Anghorage, USA (2010) 2592–2597.

    Google Scholar 

  40. D. Shin, H.-U. Kim, A. Kulkarni, Y.-H. Kim and T. Kim, Development of force sensor system based on tri-axial fiber bragg grating with flexure structure, Sensors, 22(1) (2022) 16.

    Article  Google Scholar 

  41. H. Ohno, H. Naruse, M. Kihara and A. Shimada, Industrial applications of the BOTDR optical fiber strain sensor, Optical Fiber Technology, 7(1) (2001) 45–64.

    Article  Google Scholar 

  42. M. Imai, R. Nakano, T. Kono, T. Ichinomiya, S. Miura and M. Mure, Crack detection application for fiber reinforced concrete using BOCDA-based optical fiber strain sensor, J. Struct. Eng., 136(8) (2010) 1001–1008.

    Article  Google Scholar 

  43. A. Martin, R. Badcock, C. Nightingale and G. Fernando, A novel optical fiber-based strain sensor, IEEE Photonics Technology Letters, 9(7) (1997) 982–984.

    Article  Google Scholar 

  44. L. Rodriguez-Cobo, M. Lomer, A. Cobo and J.-M. Lopez-Higuera, Optical fiber strain sensor with extended dynamic range based on specklegrams, Sensors and Actuators A: Physical, 203 (2013) 341–345.

    Article  Google Scholar 

  45. M. Lancry, E. Régnier and B. Poumellec, Fictive temperature in silica-based glasses and its application to optical fiber manufacturing, Progress in Materials Science, 57(1) (2012) 63–94.

    Article  Google Scholar 

  46. Q. Zhuge, X. Zeng, H. Lun, M. Cai, X. Liu, L. Yi and W. Hu, Application of machine learning in fiber nonlinearity modeling and monitoring for elastic optical networks, Journal of Lightwave Technology, 37(13) (2019) 3055–3063.

    Article  Google Scholar 

  47. D. Monzon-Hernandez, A. Martinez-Rios, I. Torres-Gomez and G. Salceda-Delgado, Compact optical fiber curvature sensor based on concatenating two tapers, Optics Letters, 36(22) (2011) 4380–4382.

    Article  Google Scholar 

  48. A. Gowri and V. Sai, Development of LSPR based U-bent plastic optical fiber sensors, Sensors Actuators B: Chem., 230 (2016) 536–543.

    Article  Google Scholar 

  49. J. Guo, B. Zhou, R. Zong, L. Pan, X. Li, X. Yu, C. Yang, L. Kong and Q. Dai, Stretchable and highly sensitive optical strain sensors for human-activity monitoring and healthcare, ACS Appl. Mater. Interfaces, 11 (2019) 33589–33598.

    Article  Google Scholar 

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Acknowledgments

This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (NRF2017R1A2B3011222). This work was supported by the Technology Innovation Program (20013794, Center for Composite Materials and Concurrent Design) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).

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Correspondence to Taesung Kim.

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Dongjoo Shin received Bachelor of Science degree in Electric Electronic Engineering from Sungkyunkwan University, Korea in 2017. Currently, he is a candidate of combined master and doctorate program in Department of Mechanical Engineering at Sungkyunkwan University. His research field is focused on optical fiber and optical sensor applications.

Eungchul Kim received Bachelor of Science degree in Mechanical Engineering from Sungkyunkwan University, Korea in 2017. Currently, he is a candidate of combined master and doctorate program in Department of Mechanical Engineering at Sungkyunkwan University. His research field is focused on sensor measurement and applications.

Gunhoo Woo received Bachelor of Science degree in Mechanical Engineering from Sungkyunkwan University, Korea in 2019. Currently, he is a candidate of combined master and doctorate program in Department of SKKU Advanced Institute of Nanotechnology (SAINT) at Sungkyunkwan University. His research field is focused on fabrication of polymer and sensor applications.

Taesung Kim received his Bachelor of Science degree in Mechanical Engineering from Seoul National University of Technology, Korea in 1994. He received his Master of Science, and Doctor of Philosophy degrees in Mechanical Engineering from Minnesota University, USA in 1998 and 2002, respectively. Dr. Kim currently works as Professor in the School of Mechanical Engineering and Adjunct Professor in the SKKU Advanced Institute of Nanotechnology (SAINT) at Sungkyunkwan University in Suwon, Korea. His research interests include nanoparticle synthesis, development of applications related with bio aerosol, Chemical Mechanical Polishing, and thin film synthesis.

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Shin, D., Kim, E., Woo, G. et al. Stretchable optical fiber strain sensor comprising zinc oxide and PDMS for human motion monitoring. J Mech Sci Technol 37, 3205–3212 (2023). https://doi.org/10.1007/s12206-023-0544-0

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