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Self-powered piezoelectric player-interactive patch for guitar learning assistance

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Abstract

Device-assisted practice for instrument learning has been widely used by professional and amateur musicians to improve their learning efficiency. This study fabricates a novel self-powered and flexible player-interactive patch for guitar-learning assistance based on a piezoelectric T-ZnO/PVDF film. The system consists primarily of three parts: a flexible piezoelectric T-ZnO/PVDF film for pressure sensing, a signal processing module for analyzing the sensed signal, and light-emitting diode (LED) indicators for visualizing guitar performance. The sensing film can be conformably fixed on a guitar and can convert the mechanical energy generated by pressing a finger on a string into a piezoelectric signal without any external power supply. The output voltage of the film can act as a sensing signal for guitar performance, and both the response and recovery times are short. As fingers press on different strings, a series of piezoelectric signals are generated and transferred to the signal processing module, subsequently lighting up LEDs of different colors. The actions of the fingers during guitar playing are reflected by the corresponding LED indicators. The proposed system can help players adjust their posture and rhythm in real time, thus improving their playing technique. This study demonstrates the potential application of self-powered sensing systems in musical instrument learning assistance.

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References

  1. Dixon S. Evaluation of the audio beat tracking system beatroot. J New Music Res, 2007, 36: 39–50

    Article  Google Scholar 

  2. Jia B, Lv J, Liu D. Deep learning-based automatic downbeat tracking: A brief review. Multimedia Syst, 2019, 25: 617–638

    Article  Google Scholar 

  3. Miguel M A, Sigman M, Fernandez Slezak D. From beat tracking to beat expectation: Cognitive-based beat tracking for capturing pulse clarity through time. PLoS ONE, 2020, 15: e0242207

    Article  Google Scholar 

  4. Pinto A, Böck S, Cardoso J, et al. User-driven fine-tuning for beat tracking. Electronics, 2021, 10: 1518

    Article  Google Scholar 

  5. Frid E. Accessible digital musical instruments—A review of musical interfaces in inclusive music practice. Multimodal Tech Interact, 2019, 3: 57

    Article  Google Scholar 

  6. Baer L H, Thibodeau J L N, Gralnick T M, et al. The role of musical training in emergent and event-based timing. Front Hum Neurosci, 2013, 7: 191

    Article  Google Scholar 

  7. Wu Z, Cheng T, Wang Z L. Self-powered sensors and systems based on nanogenerators. Sensors, 2020, 20: 2925

    Article  Google Scholar 

  8. Wu C, Wang A C, Ding W, et al. Triboelectric nanogenerator: A foundation of the energy for the new era. Adv Energy Mater, 2019, 9: 1802906

    Article  Google Scholar 

  9. Lei R, Shi Y, Ding Y, et al. Sustainable high-voltage source based on triboelectric nanogenerator with a charge accumulation strategy. Energy Environ Sci, 2020, 13: 2178–2190

    Article  Google Scholar 

  10. Meng B, Tang W, Zhang X, et al. Self-powered flexible printed circuit board with integrated triboelectric generator. Nano Energy, 2013, 2: 1101–1106

    Article  Google Scholar 

  11. Wu B, Zhang Z X, Xue X B, et al. A stretchable triboelectric generator with coplanar integration design of energy harvesting and strain sensing. Sci China Tech Sci, 2021, 65: 221–230

    Google Scholar 

  12. Serrano-Garcia W, Jayathilaka W A D M, Chinnappan A, et al. Nanocomposites for electronic applications that can be embedded for textiles and wearables. Sci China Tech Sci, 2019, 62: 895–902

    Article  Google Scholar 

  13. Wang Z L. Triboelectric nanogenerators as new energy technology for self-powered systems and as active mechanical and chemical sensors. ACS Nano, 2013, 7: 9533–9557

    Article  Google Scholar 

  14. Chang C, Tran V H, Wang J, et al. Direct-write piezoelectric polymeric nanogenerator with high energy conversion efficiency. Nano Lett, 2010, 10: 726–731

    Article  Google Scholar 

  15. Zheng Q, Shi B, Li Z, et al. Recent progress on piezoelectric and triboelectric energy harvesters in biomedical systems. Adv Sci, 2017, 4: 1700029

    Article  Google Scholar 

  16. Fan F R, Lin L, Zhu G, et al. Transparent triboelectric nanogenerators and self-powered pressure sensors based on micropatterned plastic films. Nano Lett, 2012, 12: 3109–3114

    Article  Google Scholar 

  17. Yi J, Dong K, Shen S, et al. Fully fabric-based triboelectric nanogenerators as self-powered human-machine interactive keyboards. Nano-Micro Lett, 2021, 13: 103

    Article  Google Scholar 

  18. Yang Y, Zhang H, Lin Z H, et al. Human skin based triboelectric nanogenerators for harvesting biomechanical energy and as self-powered active tactile sensor system. ACS Nano, 2013, 7: 9213–9222

    Article  Google Scholar 

  19. Zhang W, Guan H, Zhong T, et al. Wearable battery-free perspiration analyzing sites based on sweat flowing on ZnO nanoarrays. Nano-Micro Lett, 2020, 12: 105

    Article  Google Scholar 

  20. Yang G Y, Tang Y, Lin T, et al. A self-powered closed-loop brain-machine-interface system for real-time detecting and rapidly adjusting blood glucose concentration. Nano Energy, 2022, 93: 106817

    Article  Google Scholar 

  21. Liang S, Han Y, Zhang W, et al. A self-powered wearable body-detecting/brain-stimulating system for improving sports endurance performance. Nano Energy, 2022, 93: 106851

    Article  Google Scholar 

  22. Wu L, Huang G, Hu N, et al. Improvement of the piezoelectric properties of PVDF-HFP using AgNWs. RSC Adv, 2014, 4: 35896–35903

    Article  Google Scholar 

  23. He H, Fu Y, Zang W, et al. A flexible self-powered T-ZnO/PVDF/fabric electronic-skin with multi-functions of tactile-perception, atmosphere-detection and self-clean. Nano Energy, 2017, 31: 37–48

    Article  Google Scholar 

  24. Gao C, Long Z, Zhong T, et al. A self-powered intelligent glove for real-time human-machine gesture interaction based on piezoelectric effect of T-ZnO/PVDF film. J Phys D-Appl Phys, 2022, 55: 194004

    Article  Google Scholar 

  25. Lin Y, Long Z, Liang S, et al. A wearable exhaling-oxygen-sensing mask based on piezoelectric/gas-sensing coupling effect for real-time monitoring and uploading lung disease information. J Phys D-Appl Phys, 2022, 55: 224001

    Article  Google Scholar 

  26. Lee M, Chen C Y, Wang S, et al. A hybrid piezoelectric structure for wearable nanogenerators. Adv Mater, 2012, 24: 1759–1764

    Article  Google Scholar 

  27. Wang Z L. Piezopotential gated nanowire devices: Piezotronics and piezo-phototronics. Nano Today, 2010, 5: 540–552

    Article  Google Scholar 

  28. Della C N, Shu D. The performance of 1–3 piezoelectric composites with a porous non-piezoelectric matrix. Acta Mater, 2008, 56: 754–761

    Article  Google Scholar 

  29. Künstler W, Xia Z, Weinhold T, et al. Piezoelectricity of porous polytetrafluoroethylene single- and multiple-film electrets containing high charge densities of both polarities. Appl Phys A-Mater Sci Process, 2000, 70: 5–8

    Article  Google Scholar 

  30. Iyer S, Venkatesh T A. Electromechanical response of porous piezoelectric materials: Effects of porosity connectivity. Appl Phys Lett, 2010, 97: 072904

    Article  Google Scholar 

  31. Zheng Q, Zhang H, Mi H, et al. High-performance flexible piezoelectric nanogenerators consisting of porous cellulose nanofibril (CNF)/poly(dimethylsiloxane) (PDMS) aerogel films. Nano Energy, 2016, 26: 504–512

    Article  Google Scholar 

  32. Zheng J, Wang Y, Yu Z, et al. Integrated nanospheres occupancy-removal and thermoforming into bulk piezoelectric and triboelectric hybrid nanogenerators with inverse opal nanostructure. Nano Energy, 2019, 64: 103957

    Article  Google Scholar 

  33. Zhang G, Zhao P, Zhang X, et al. Flexible three-dimensional inter-connected piezoelectric ceramic foam based composites for highly efficient concurrent mechanical and thermal energy harvesting. Energy Environ Sci, 2018, 11: 2046–2056

    Article  Google Scholar 

  34. Weng L, Ju P, Zhang X, et al. Preparation and properties of poly-vinylidene fluoride/tetra-needle like-zinc oxide whisker composites. Adv Polym Technol, 2018, 37: 1658–1664

    Article  Google Scholar 

  35. Yuan X, Yan A, Lai Z, et al. A poling-free PVDF nanocomposite via mechanically directional stress field for self-powered pressure sensor application. Nano Energy, 2022, 98: 107340

    Article  Google Scholar 

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Correspondence to LiLi Xing or XinYu Xue.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant No. 11674048), and Sichuan Science and Technology Program (Grant Nos. 2020JDJQ0026 and 2021YFG0140).

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The supporting information is available online at tech.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Lei, Y., Long, Z., Liang, S. et al. Self-powered piezoelectric player-interactive patch for guitar learning assistance. Sci. China Technol. Sci. 65, 2695–2702 (2022). https://doi.org/10.1007/s11431-022-2181-y

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  • DOI: https://doi.org/10.1007/s11431-022-2181-y

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