Tactile Sensor for Subcutaneous Vocal Organ Vibrations Inspired by Otolith Cilia

1. Shih, B., Shah, D., Li, J., Thuruthel, T. G., Park, Y. L., Iida, F., Bao, Z., Kramer-Bottiglio, R., & Tolley, M. T. (2020). Electronic skins and machine learning for intelligent soft robots. Science Robotics, 5, Article eaaz9239. https://doi.org/10.1126/scirobotics.aaz923910.1126/scirobotics.aaz9239 ↗

2. Yang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019). Electronic skin: Recent progress and future prospects for skin-attachable devices for health monitoring, robotics, and prosthetics. Advanced Materials, 31, Article 1904765. https://doi.org/10.1002/adma.20190476510.1002/adma.201904765 ↗

3. Yang, X., Chen, W., Fan, Q., Chen, J., Chen, Y., Lai, F., & Liu, H. (2024). Electronic skin for health monitoring systems: Properties, functions, and applications. Advanced Materials, 36, Article 2402542. https://doi.org/10.1002/adma.20240254210.1002/adma.202402542 ↗

4. Liu, Y., Norton, J. J. S., Qazi, R., Zou, Z., Ammann, K. R., Liu, H., Yan, L., Tran, P. L., Jang, K. I., Lee, J. W., Zhang, D., Kilian, K. A., Jung, S. H., Bretl, T., Xiao, J., Slepian, M. J., Huang, Y., Jeong, J. W., & Rogers, J. A. (2016). Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces. Science Advances, 2, Article e1601185. https://doi.org/10.1126/sciadv.160118510.1126/sciadv.1601185 ↗

5. Hoang, T. T., Cunio, A. M., Zhao, S., Nguyen, T. V., Peng, S., Liaw, S., Barber, T., Zhang, J., Farajikhah, S., Dehghani, F., Do, T. N., & Phan, H. P. (2024). Flexible, wearable mechano-acoustic sensors for real-time, wireless monitoring of low frequency body sounds. Advanced Sensor Research, 3, Article 2400039. https://doi.org/10.1002/adsr.20240003910.1002/adsr.202400039 ↗

6. Wang, Z., Lei, K. C., Tang, H., Luo, Y., Zhao, H., He, P., Ding, W., & Lin, L. (2024). Stretchable liquid metal e-skin for soft robot proprioceptive vibration sensing. IEEE Sensors Journal, 24, 18327–18335. https://doi.org/10.1109/JSEN.2024.339283710.1109/JSEN.2024.3392837 ↗

7. Che, Z., Wan, X., Xu, J., Duan, C., Zheng, T., & Chen, J. (2024). Speaking without vocal folds using a machine-learning-assisted wearable sensing-actuation system. Nature Communications, 15, Article 1873. https://doi.org/10.1038/s41467-024-45915-710.1038/s41467-024-45915-7 ↗

8. Dijkstra, F., Viaene, M., De Volder, I., Fransen, E., Cras, P., & Crosiers, D. (2020). Polysomnographic phenotype of isolated REM sleep without atonia. Clinical Neurophysiology, 131, 2508–2515. https://doi.org/10.1016/j.clinph.2020.07.00510.1016/j.clinph.2020.07.005 ↗

9. Lee, S., Kim, J., Yun, I., Bae, G. Y., Kim, D., Park, S., Yi, I. M., Moon, W., Chung, Y., & Cho, K. (2019). An ultrathin conformable vibration-responsive electronic skin for quantitative vocal recognition. Nature Communications, 10, Article 2468. https://doi.org/10.1038/s41467-019-10465-w10.1038/s41467-019-10465-w ↗

10. Liu, T., Zhang, M., Li, Z., Dou, H., Zhang, W., Yang, J., Wu, P., Li, D., & Mu, X. (2025). Machine learning-assisted wearable sensing systems for speech recognition and interaction. Nature Communications, 16, Article 2363. https://doi.org/10.1038/s41467-025-57629-510.1038/s41467-025-57629-5 ↗

11. Xu, H., Zheng, W., Zhang, Y., Zhao, D., Wang, L., Zhao, Y., Wang, W., Yuan, Y., Zhang, J., Huo, Z., Wang, Y., Zhao, N., Qin, Y., Liu, K., Xi, R., Chen, G., Zhang, H., Tang, C., Yan, J., … Gao, L. (2023). A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for rehabilitation. Nature Communications, 14, Article 7769. https://doi.org/10.1038/s41467-023-43664-710.1038/s41467-023-43664-7 ↗

12. Tang, C., Xu, M., Yi, W., Zhang, Z., Occhipinti, E., Dong, C., Ravenscroft, D., Jung, S. M., Lee, S., Gao, S., Kim, J. M., & Occhipinti, L. G. (2024). Ultrasensitive textile strain sensors redefine wearable silent speech interfaces with high machine learning efficiency. Npj Flexible Electronics, 8, 27. https://doi.org/10.1038/s41528-024-00315-110.1038/s41528-024-00315-1 ↗

13. Jeong, H., Yoo, J. Y., Ouyang, W., Greane, A. L. J. X., Wiebe, A. J., Huang, I., Lee, Y. J., Lee, J. Y., Kim, J., Ni, X., Kim, S., Huynh, H. L. T., Zhong, I., Chin, Y. X., Gu, J., Johnson, A. M., Brancaccio, T., & Rogers, J. A. (2023). Closed-loop network of skin-interfaced wireless devices for quantifying vocal fatigue and providing user feedback. Proceedings of the National Academy of Sciences of the United States of America, 120, Article e2219394120. https://doi.org/10.1073/pnas.221939412010.1073/pnas.2219394120 ↗

14. Lee, H. K., Park, S. U., Kong, S., Ryu, H., Kim, H. B., Lee, S. H., Kang, D., Shin, S. H., Yu, K. J., Cho, J., Kang, J., Chun, I. Y., Park, H. Y., & Won, S. M. (2024). Real-time deep learning-assisted mechano-acoustic system for respiratory diagnosis and multifunctional classification. Npj Flexible Electronics, 8, Article 69. https://doi.org/10.1038/s41528-024-00355-710.1038/s41528-024-00355-7 ↗

15. Mehta, D. D., Zañartu, M., Feng, S. W., Cheyne, H. A., I., &, & Hillman, R. E. (2012). Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform. IEEE Transactions on Biomedical Engineering, 59, 3090–3096. https://doi.org/10.1109/TBME.2012.220789610.1109/TBME.2012.2207896 ↗

16. Song, Y., Yun, I., Giovanoli, S., Easthope, C. A., & Chung, Y. (2025). Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events. Npj Digital Medicine, 8, Article 14. https://doi.org/10.1038/s41746-024-01417-w10.1038/s41746-024-01417-w ↗

17. Umatani, M., Ogawa, M., Iwahashi, T., Hosokawa, K., Kato, C., & Inohara, H. (2022). The feasibility of a neck-surface accelerometer for estimating the amount of acoustic output during phonation regardless of the difference in the mouth configuration. Journal of Voice, 36, 297–308. https://doi.org/10.1016/j.jvoice.2020.06.00210.1016/j.jvoice.2020.06.002 ↗

18. Gong, X., Kuo, Y. C., Zhou, G., Wu, W. J., & Liao, W. H. (2023). An aerosol deposition based MEMS piezoelectric accelerometer for low noise measurement. Microsystems & Nanoengineering, 9, 23. https://doi.org/10.1038/s41378-023-00484-510.1038/s41378-023-00484-5 ↗

19. Hake, A. E., Zhao, C., Sung, W. K., & Grosh, K. (2021). Design and experimental assessment of low-noise piezoelectric microelectromechanical systems vibration sensors. IEEE Sensors Journal, 21, 17703–17711. https://doi.org/10.1109/JSEN.2021.308582510.1109/JSEN.2021.3085825 ↗

20. Li, C. Y., Chen, Z. H., Kao, H. Y., Chang, S. K., Hsiao, P. Y., Huang, Y. H., Huang, Y. C., Chu, S. Y., Wei, C. L., Liu, Y. H., Cheng, K. W., & Tsai, C. C. (2023). Design and development of a low-power wireless MEMS lead-free piezoelectric accelerometer system. IEEE Transactions on Instrumentation and Measurement, 72, Article 11. https://doi.org/10.1109/tim.2023.324201610.1109/tim.2023.3242016 ↗

21. Qu, M., Chen, X., Yang, D., Li, D., Zhu, K., Guo, X., & Xie, J. (2022). Monitoring of physiological sounds with wearable device based on piezoelectric MEMS acoustic sensor. Journal of Micromechanics and Microengineering, 32, Article 014001. https://doi.org/10.1088/1361-6439/ac371e10.1088/1361-6439/ac371e ↗

22. Ma, J., Li, J., Yang, Y., Hu, W., Zhang, L., & Liu, Z. (2024). Multi-sensor fusion for state Estimation and control of cable-driven soft robots. Journal of Bionic Engineering, 21, 2792–2803. https://doi.org/10.1007/s42235-024-00582-810.1007/s42235-024-00582-8 ↗

23. Zhang, J., Chen, Y., Li, H., Gao, J., Gu, X., Wu, J., Qin, X., Wang, K., Zhu, B., Chen, D., Sun, T., Fan, J., Han, Z., & Ren, L. (2025). A biomimetic stress field modulation strategy inspired by Scorpion compound Slit sensilla enabled high-accuracy and low-power positioning sensor for identifying the load incident angles. Journal of Bionic Engineering, 22, 727–738. https://doi.org/10.1007/s42235-025-00661-410.1007/s42235-025-00661-4 ↗

24. Grant, W., & Curthoys, I. (2017). Otoliths - accelerometer and seismometer; implications in vestibular evoked myogenic potential (VEMP). Hearing Research, 353, 26–35. https://doi.org/10.1016/j.heares.2017.07.01210.1016/j.heares.2017.07.012 ↗

25. Lundberg, Y. W., Xu, Y., Thiessen, K. D., & Kramer, K. L. (2015). Mechanisms of otoconia and otolith development. Developmental Dynamics, 244, 239–253. https://doi.org/10.1002/dvdy.2419510.1002/dvdy.24195 ↗

26. Berg, M., Fuchs, M., Wirkner, K., Loeffler, M., Engel, C., & Berger, T. (2017). The speaking voice in the general population: Normative data and associations to sociodemographic and lifestyle factors. Journal of Voice, 31, 257e13-257e24. https://doi.org/10.1016/j.jvoice.2016.06.00110.1016/j.jvoice.2016.06.001 ↗

27. Cristina Oliveira, R., Gama, A. C. C., & Magalhães, M. D. C. (2021). Fundamental voice frequency: Acoustic, electroglottographic, and accelerometer measurement in individuals with and without vocal alteration. Journal of Voice, 35, 174–180. https://doi.org/10.1016/j.jvoice.2019.08.00410.1016/j.jvoice.2019.08.004 ↗

28. Jiang, C., Liu, X., Yu, F., Zhang, S., Fang, H., Cheng, X., & Zhao, X. (2021). High-temperature vibration sensor based on Ba2TiSi2O8 piezoelectric crystal with ultra-stable sensing performance up to 650°C. IEEE Transactions on Industrial Electronics, 68, 12850–12859. https://doi.org/10.1109/TIE.2020.304479210.1109/TIE.2020.3044792 ↗

29. Liu, Y., Hu, B., Cai, Y., Liu, W., Tovstopyat, A., & Sun, C. (2021). A novel tri-axial piezoelectric MEMS accelerometer with folded beams. Sensors (Basel), 21, Article 453. https://doi.org/10.3390/s2102045310.3390/s21020453 ↗