Journal Home > Volume 17 , Issue 5
Nano Research 2024, 17(5): 4454-4461 https://doi.org/10.1007/s12274-023-6344-0
Research Article | Issue | Published: 15 December 2023

A wave-shaped electrode flexible sensor capable of sensitively responding to wrinkle excitation for a multifunctional human–computer interaction system

Show Author's Information Yongyang Chen1,2,  Zhiyi Wu2( ),  Chengcheng Han2,  Zhi Cao2,  Yiran Hu2,  Ping Zhao3( ),  Yuanyu Wang1( )
College of Materials and Metallurgy, Guizhou University, Guizhou 550025, China
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
Geological Brigade 105, Bureau of Geology and Mineral Exploration and Development of Guizhou Province, Guiyang 550018, China
Keywords:
triboelectric nanogenerator, multifunctionality, human–machine interaction, flexible sensors, wrinkle excitation
Topics:
Nanosensors
Cite this article:
Chen Y, Wu Z, Han C, et al. A wave-shaped electrode flexible sensor capable of sensitively responding to wrinkle excitation for a multifunctional human–computer interaction system. Nano Research, 2024, 17(5): 4454-4461. https://doi.org/10.1007/s12274-023-6344-0
Download citation
EndNote(RIS)
BibTeX

407

Views

37

Downloads

Citations

1

Crossref

0

WoS

1

Scopus

0

CSCD

Abstract Full text Electronic supplementary material About this article

Human–machine interactions (HMIs) have advanced rapidly in recent decades in the fields of healthcare, work, and life. However, people with disabilities and other mobility problems do not have corresponding high-tech aids for them to enjoy the convenience of HMIs. In this paper, we propose a sensor with a wave-shaped (corrugated) electrode embedded in a friction layer, which exhibits high sensitivity to skin fold excitation and enormous potential in HMIs. Attributing to the wave-shaped electrode design, it has no built-in cavities, and its small size allows it to flexibly cope with folds at different angles. By specifying the carbon nanotube hybrid silicone film as the electrode layer material and silicone film as the friction layer, good electrical output performance, tensile properties, and biocompatibility can be achieved. Then, the sensor is tested on various joints and skin folds of the human body, the output signals of which can be distinguished between normal physiological behavior and test behavior. Based on this sensor, we designed a medical alarm system, a robotic arm assistive system, and a cell phone application control system for the disabled to help them in the fields of healthcare, work, and life. In conclusion, our research presents a feasible technology to enhance HMIs and makes a valuable contribution to the development of high-tech aids for the disabled.


menu
Abstract
Full text
Outline
Electronic supplementary material
About this article

A wave-shaped electrode flexible sensor capable of sensitively responding to wrinkle excitation for a multifunctional human–computer interaction system

Show Author's information Yongyang Chen1,2, Zhiyi Wu2( ), Chengcheng Han2, Zhi Cao2, Yiran Hu2, Ping Zhao3( ), Yuanyu Wang1( )
College of Materials and Metallurgy, Guizhou University, Guizhou 550025, China
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
Geological Brigade 105, Bureau of Geology and Mineral Exploration and Development of Guizhou Province, Guiyang 550018, China

Abstract

Human–machine interactions (HMIs) have advanced rapidly in recent decades in the fields of healthcare, work, and life. However, people with disabilities and other mobility problems do not have corresponding high-tech aids for them to enjoy the convenience of HMIs. In this paper, we propose a sensor with a wave-shaped (corrugated) electrode embedded in a friction layer, which exhibits high sensitivity to skin fold excitation and enormous potential in HMIs. Attributing to the wave-shaped electrode design, it has no built-in cavities, and its small size allows it to flexibly cope with folds at different angles. By specifying the carbon nanotube hybrid silicone film as the electrode layer material and silicone film as the friction layer, good electrical output performance, tensile properties, and biocompatibility can be achieved. Then, the sensor is tested on various joints and skin folds of the human body, the output signals of which can be distinguished between normal physiological behavior and test behavior. Based on this sensor, we designed a medical alarm system, a robotic arm assistive system, and a cell phone application control system for the disabled to help them in the fields of healthcare, work, and life. In conclusion, our research presents a feasible technology to enhance HMIs and makes a valuable contribution to the development of high-tech aids for the disabled.

Keywords: triboelectric nanogenerator, multifunctionality, human–machine interaction, flexible sensors, wrinkle excitation

References(42)

[1]

Khan, F.; Amatya, B.; Avirmed, B.; Yi, Y. K.; Shirmen, B.; Abbott, G.; Galea, M. P. World Health Organization global disability action plan: The mongolian perspective. J. Rehabil. Med. 2018, 50, 358–366.
DOI Google Scholar
[2]

Brady, N. C.; Bruce, S.; Goldman, A.; Erickson, K.; Mineo, B.; Ogletree, B. T.; Paul, D.; Romski, M. A.; Sevcik, R.; Siegel, E. et al. Communication services and supports for individuals with severe disabilities: Guidance for assessment and intervention. Am J Intellect Devel Disabilit 2016, 121, 121–138.
DOI Google Scholar
[3]

Qu, X. C.; Liu, Y.; Liu, Z.; Li, Z. Assistive devices for the people with disabilities enabled by triboelectric nanogenerators. J. Phys. Mater. 2021, 4, 034015.
DOI Google Scholar
[4]

Latif, G.; Alghazo, J.; Mohammad, N.; Alghazo, R. Communicating with the deaf and hard of hearing through automatic arabic sign language translator. J. Phys. Conf. Ser. 2021, 1962, 012055.
DOI Google Scholar
[5]

Pettersson, I.; Berndtsson, I.; Appelros, P.; Ahlström, G. Lifeworld perspectives on assistive devices: Lived experiences of spouses of persons with stroke. Scand. J. Occup. Ther. 2005, 12, 159–169.
DOI Google Scholar
[6]

Sladen, R. N.; Shulman, M. A.; Javaid, A.; Amlani, A. M.; Hupf, J. C.; Naka, Y.; McGiffin, D.; Bergin, P.; Takayama, H.; Buckland, M. et al. Post-discharge quality of life with a long-term ventricular assist device: Focus on functional disability and impact of health status. J. Heart Lung Transplant. 2020, 39, S436.
DOI Google Scholar
[7]

Fang, K. T.; Ping, C. H. Using machine learning to explore the crucial factors of assistive technology assessments: Cases of wheelchairs. Healthcare 2022, 10, 2238.
DOI Google Scholar
[8]
Sigounas, V. Y. Technologies of care and the engineering imaginary: Two approaches to assistive device design for the Global South. Med. Anthropol. Quart., in press, DOI: 10.1111/maq.12818.
[9]

Tomita, M.; Mann, W. C.; Welch, T. R. Use of assistive devices to address hearing impairment by older persons with disabilities. Int. J. Rehabil. Res. 2001, 24, 279–289.
DOI Google Scholar
[10]

Yeung, K. T.; Lin, C. H.; Teng, Y. L.; Chen, F. F.; Lou, S. Z.; Chen, C. L. Use of and self-perceived need for assistive devices in individuals with disabilities in Taiwan. PLoS One 2016, 11, e0152707.
DOI Google Scholar
[11]

Zhu, P. C.; Wang, Y. L.; Wang, Y.; Mao, H. Y.; Zhang, Q.; Deng, Y. Human–machine interactions: Flexible 3d architectured piezo/thermoelectric bimodal tactile sensor array for E-skin application (Adv. Energy Mater. 39/2020). Adv. Energy Mater. 2020, 10, 2070161
DOI Google Scholar
[12]

Shi, Q. F.; Zhang, Z. X.; Chen, T.; Lee, C. Minimalist and multi-functional human machine interface (HMI) using a flexible wearable triboelectric patch. Nano Energy 2019, 62, 355–366.
DOI Google Scholar
[13]

Lei, Z. Y.; Wang, Q. K.; Sun, S. T.; Zhu, W. C.; Wu, P. Y. A bioinspired mineral hydrogel as a self-healable, mechanically adaptable ionic skin for highly sensitive pressure sensing. Adv. Mater. 2017, 29, 1700321.
DOI Google Scholar
[14]

Fukui, H.; Chow, R. W. Y.; Xie, J.; Foo, Y. Y.; Yap, C. H.; Minc, N.; Mochizuki, N.; Vermot, J. Bioelectric signaling and the control of cardiac cell identity in response to mechanical forces. Science 2021, 374, 351–354.
DOI Google Scholar
[15]

Li, J. J.; Wang, Q. Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation. Inf. Fus. 2022, 79, 229–247.
DOI Google Scholar
[16]

Sajad, A.; Godlove, D. C.; Schall, J. D. Cortical microcircuitry of performance monitoring. Nat. Neurosci. 2019, 22, 265–274.
DOI Google Scholar
[17]

Ji, B. W.; Ge, C. F.; Guo, Z. J.; Wang, L. C.; Wang, M. H.; Xie, Z. Q.; Xu, Y. S.; Li, H. B.; Yang, B.; Wang, X. L. et al. Flexible and stretchable opto-electric neural interface for low-noise electrocorticogram recordings and neuromodulation in vivo. Biosens. Bioelectron. 2020, 153, 112009.
DOI Google Scholar
[18]

Tveit, J.; Aurlien, H.; Plis, S.; Calhoun, V. D.; Tatum, W. O.; Schomer, D. L.; Arntsen, V.; Cox, F.; Fahoum, F.; Gallentine, W. B. et al. Automated interpretation of clinical electroencephalograms using artificial intelligence. JAMA Neurol. 2023, 80, 805–812.
DOI Google Scholar
[19]

Gans, C.; Gorniak, G. C. Electromyograms are repeatable: Precautions and limitations. Science 1980, 210, 795–797.
DOI Google Scholar
[20]

Jin, P. Q.; Zou, J. J.; Zhou, T.; Ding, N. Eye activity tracks task-relevant structures during speech and auditory sequence perception. Nat. Commun. 2018, 9, 5374.
DOI Google Scholar
[21]

Zbinden, J.; Sassu, P.; Mastinu, E.; Earley, E. J.; Munoz-Novoa, M.; Brånemark, R.; Ortiz-Catalan, M. Improved control of a prosthetic limb by surgically creating electro-neuromuscular constructs with implanted electrodes. Sci. Transl. Med. 2023, 15, eabq3665.
DOI Google Scholar
[22]

Cheng, L.; Li, J.; Guo, A. Y.; Zhang, J. H. Recent advances in flexible noninvasive electrodes for surface electromyography acquisition. npj Flex. Electron. 2023, 7, 39.
DOI Google Scholar
[23]

Patwa, H. S. Is needle electromyography safe in patients on anticoagulation or antiplatelet therapy. Nat. Clin. Pract. Neurol. 2009, 5, 78–79.
DOI Google Scholar
[24]

Chen, C. J.; Huang, K.; Li, D. N.; Pan, Y.; Zhao, Z. X.; Hong, J. Assembly torque data regression using sEMG and inertial signals. J. Manuf. Syst. 2021, 60, 1–10.
DOI Google Scholar
[25]

Ye, G. M.; Jin, T. S.; Wang, X. K.; Chen, Y.; Wu, Q.; Wan, Y. F.; Yang, P. Multimodal integrated flexible electronic skin for physiological perception and contactless kinematics pattern recognition. Nano Energy 2023, 113, 108580.
DOI Google Scholar
[26]

Zhang, Y. W.; Chen, Y. Q.; Yu, H. C.; Yang, X. D.; Lu, W. Learning effective spatial-temporal features for sEMG armband-based gesture recognition. IEEE Intern. Things J. 2020, 7, 6979–6992.
DOI Google Scholar
[27]
Li, J. L.; Liu, Z. H.; Tang, Y. T.; Xian, J. B.; He, C. F.; Wu, H.; Liu, M. J.; Li, F. Y. An interfacial gel electrode patch with tunable hydrogen bond network for electromyographic sensing and discrimination. CCS Chem., in press, DOI: 10.31635/ccschem.023.202202564.
[28]

Freitas, R. A. Nanotechnology, nanomedicine and nanosurgery. Int. J. Surg. 2005, 3, 243–246.
DOI Google Scholar
[29]

Wang, T.; Russo, D. P.; Bitounis, D.; Demokritou, P.; Jia, X. L.; Huang, H.; Zhu, H. Integrating structure annotation and machine learning approaches to develop graphene toxicity models. Carbon 2023, 204, 484–494.
DOI Google Scholar
[30]

Qian, Y.; Lin, H.; Yan, Z. W.; Shi, J. L.; Fan, C. Y. Functional nanomaterials in peripheral nerve regeneration: Scaffold design, chemical principles and microenvironmental remodeling. Mater. Today 2021, 51, 165–187.
DOI Google Scholar
[31]

Cao, Z.; Yuan, Z. H.; Han, C. C.; Feng, J. R.; Wang, B. C.; Wang, Z. L.; Wu, Z. Y. Hybrid triboelectric-electromagnetic nanogenerator based on a tower spring for harvesting omnidirectional vibration energy. ACS Appl. Nano Mater. 2022, 5, 11577–11585.
DOI Google Scholar
[32]

Wei, X. L.; Wang, B. C.; Cao, X. L.; Zhou, H. L.; Wu, Z. Y.; Wang, Z. L. Dual-sensory fusion self-powered triboelectric taste-sensing system towards effective and low-cost liquid identification. Nat. Food 2023, 4, 721–732.
DOI Google Scholar
[33]

Cao, X. L.; Wei, X. L.; Li, R. N.; Wang, Z. L.; Wu, Z. Y. Thermal-mechanical-electrical energy conversion system based on Curie effect and soft-contact rotary triboelectric nanogenerator. Nano Res. 2023, 16, 2502–2510.
DOI Google Scholar
[34]

Wang, B. C.; Zhai, X. Y.; Wei, X. L.; Shi, Y. P.; Huo, X. Q.; Li, R. N.; Wu, Z. Y.; Wang, Z. L. A self-powered and concealed sensor based on triboelectric nanogenerators for cultural-relic anti-theft systems. Nano Res. 2022, 15, 8435–8441.
DOI Google Scholar
[35]

Lu, Y. J.; Tian, H.; Cheng, J.; Zhu, F.; Liu, B.; Wei, S. S.; Ji, L. H.; Wang, Z. L. Decoding lip language using triboelectric sensors with deep learning. Nat. Commun. 2022, 13, 1401.
DOI Google Scholar
[36]

Pu, X. J.; Guo, H. Y.; Chen, J.; Wang, X.; Xi, Y.; Hu, C. G.; Wang, Z. L. Eye motion triggered self-powered mechnosensational communication system using triboelectric nanogenerator. Sci. Adv. 2017, 3, e1700694.
DOI Google Scholar
[37]

Pu, X.; Zhang, C.; Wang, Z. L. Triboelectric nanogenerators as wearable power sources and self-powered sensors. Nat. Sci. Rev. 2023, 10, nwac170.
DOI Google Scholar
[38]

Zhou, H.; Li, D. X.; He, X. M.; Hui, X. D.; Guo, H. Y.; Hu, C. G.; Mu, X. J.; Wang, Z. L. Bionic ultra-sensitive self-powered electromechanical sensor for muscle-triggered communication application. Adv. Sci. 2021, 8, 2101020.
DOI Google Scholar
[39]

Lu, X.; Zheng, L.; Zhang, H. D.; Wang, W. H.; Wang, Z. L.; Sun, C. W. Stretchable, transparent triboelectric nanogenerator as a highly sensitive self-powered sensor for driver fatigue and distraction monitoring. Nano Energy 2020, 78, 105359.
DOI Google Scholar
[40]

Preskill, J. Stephen Hawking (1942–2018). Science 2018, 360, 156.
DOI Google Scholar
[41]

Kang, M.; Bin Mohammed Khusrin, M. S.; Kim, Y. J.; Kim, B.; Park, B. J.; Hyun, I.; Imani, I. M.; Choi, B. O.; Kim, S. W. Nature-derived highly tribopositive ϰ-carrageenan-agar composite-based fully biodegradable triboelectric nanogenerators. Nano Energy 2022, 100, 107480.
DOI Google Scholar
[42]

Cheng, J. H.; Shang, J.; Yang, S. J.; Dou, J. B.; Shi, X. H.; Jiang, X. Y. Wet-adhesive elastomer for liquid metal-based conformal epidermal electronics. Adv. Funct. Mater. 2022, 32, 2200444.
DOI Google Scholar
Video
12274_2023_6344_MOESM1_ESM.mp4
12274_2023_6344_MOESM2_ESM.mp4
12274_2023_6344_MOESM3_ESM.mp4
12274_2023_6344_MOESM4_ESM.mp4
File
12274_2023_6344_MOESM5_ESM.pdf (1.2 MB)
Publication history
Copyright
Acknowledgements

Publication history

Received: 01 October 2023
Revised: 07 November 2023
Accepted: 17 November 2023
Published: 15 December 2023
Issue date: May 2024

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

This research was supported by the Guizhou Provincial Science and Technology Foundation (No. ZK [2022] General 112) and the National Natural Science Foundation of China (No. 42267009). No formal approval for the experiments involving human volunteers was required. The volunteers took part following informed consent.

Return