The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Ultra-sensitive graphene strain sensor for sound signal acquisition and recognition
Abstract
A wearable and high-precision sensor for sound signal acquisition and recognition was fabricated from thin films of specially designed graphene woven fabrics (GWFs). Upon being stretched, a high density of random cracks appears in the network, which decreases the current pathways, thereby increasing the resistance. Therefore, the film could act as a strain sensor on the human throat in order to measure one’s speech through muscle movement, regardless of whether or not a sound is produced. The ultra-high sensitivity allows for the realization of rapid and low-frequency speech sampling by extracting the signature characteristics of sound waves. In this study, representative signals of 26 English letters, typical Chinese characters and tones, and even phrases and sentences were tested, revealing obvious and characteristic changes in resistance. Furthermore, resistance changes of the graphene sensor responded perfectly with pre-recorded sounds. By combining artificial intelligence with digital signal processing, we expect that, in the future, this graphene sensor will be able to successfully negotiate complex acoustic systems and large quantities of audio data.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
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Self-citationHammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396 · cited 1×
“When someone experiences difficulty in producing or hearing a sound, a commercially available artificial electronic throat [4] or electronic ear [5, 6] can be used to either produce or collect and recognize the sounds of speech.”
BackgroundA wearable and highly sensitive pressure sensor with ultrathin gold nanowires
Gong, S., Schwalb, W., Wang, Y., Chen, Y., Tang, Y., Si, J., Shirinzadeh, B., & Cheng, W. (2014) · Nature Communications · doi:10.1038/ncomms4132 · Cited by 2,064
Self-citationSoft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin
Xu, S., Zhang, Y., Jia, L., Mathewson, K. E., Jang, K.-I., Kim, J., Fu, H., Huang, X., Chava, P., Wang, R., et al. (2014) · Science · doi:10.1126/science.1250169 · Cited by 1,199
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Cited by
Mechanical properties of graphene and graphene-based nanocomposites
Papageorgiou, D. G., Kinloch, I. A., & Young, R. J. (2017) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.07.004 · Cited by 2,579
Park, J. J., Hyun, W. J., Mun, S. C., Park, Y. T., & Park, O. O. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b00695 · Cited by 598
Graphene-based wearable piezoresistive physical sensors
Zheng, Q., Lee, J.-H., Shen, X., Chen, X., & Kim, J.-K. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.004 · Cited by 486
Two‐dimensional materials: From mechanical properties to flexible mechanical sensors
Jiang, H., Zheng, L., Liu, Z., & Wang, X. (2020) · InfoMat · doi:10.1002/inf2.12072 · Cited by 322
Conductive polymer based hydrogels and their application in wearable sensors: a review
Liu, D., Huyan, C., Wang, Z., Guo, Z., Zhang, X., Torun, H., Mulvihill, D., Xu, B. B., & Chen, F. (2023) · Materials Horizons · doi:10.1039/d3mh00056g · Cited by 282
Metadata
- Authors
- Wang, Y., Yang, T., Lao, J., Zhang, R., Zhang, Y., Zhu, M., Li, X., Zang, X., Wang, K., Yu, W., Jin, H., Wang, L., & Zhu, H.
- Venue
- Nano Research
- Publisher
- Tsinghua University Press
- Published
- 2015-01-15
- Volume
- 8
- Issue
- 5
- Pages
- 1627-1636
- ISSN
- 1998-0000 (ISSN-L)
- 1998-0124
- OpenAlex
- W2092437682
- Cited by
- 177
- References
- 5
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, Y., Yang, T., Lao, J., Zhang, R., Zhang, Y., Zhu, M., Li, X., Zang, X., Wang, K., Yu, W., Jin, H., Wang, L., & Zhu, H. (2015). Ultra-sensitive graphene strain sensor for sound signal acquisition and recognition. Nano Research. https://doi.org/10.1007/s12274-014-0652-3
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