The DOI matches its Crossref record.
An intelligent artificial throat with sound-sensing ability based on laser induced graphene
Open accessAbstract
Traditional sound sources and sound detectors are usually independent and discrete in the human hearing range. To minimize the device size and integrate it with wearable electronics, there is an urgent requirement of realizing the functional integration of generating and detecting sound in a single device. Here we show an intelligent laser-induced graphene artificial throat, which can not only generate sound but also detect sound in a single device. More importantly, the intelligent artificial throat will significantly assist for the disabled, because the simple throat vibrations such as hum, cough and scream with different intensity or frequency from a mute person can be detected and converted into controllable sounds. Furthermore, the laser-induced graphene artificial throat has the advantage of one-step fabrication, high efficiency, excellent flexibility and low cost, and it will open practical applications in voice control, wearable electronics and many other areas.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Flexible Hybrid Electronics for Digital Healthcare
Ma, Y., Zhang, Y., Cai, S., Han, Z., Liu, X., Wang, F., Cao, Y., Wang, Z., Li, H., Chen, Y., et al. (2020) · Advanced Materials · doi:10.1002/adma.201902062 · Cited by 620
Self-citationBioinspired Microspines for a High-Performance Spray Ti3C2Tx MXene-Based Piezoresistive Sensor
Cheng, Y., Ma, Y., Li, L., Zhu, M., Yue, Y., Liu, W., Wang, L., Jia, S., Li, C., Qi, T., et al. (2020) · ACS Nano · doi:10.1021/acsnano.9b08952 · Cited by 523
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
Laser‐Induced Graphene Strain Sensors Produced by Ultraviolet Irradiation of Polyimide
Carvalho, A. F., Fernandes, A. J. S., Leitão, C., Deuermeier, J., Marques, A. C., Martins, R., Fortunato, E., & Costa, F. M. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201805271 · Cited by 384
2D Materials in Flexible Electronics: Recent Advances and Future Prospectives
Katiyar, A. K., Hoang, A. T., Xu, D., Hong, J., Kim, B. J., Ji, S., & Ahn, J.-H. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00302 · Cited by 363
Metadata
- Authors
- Tao, L.-Q., Tian, H., Liu, Y., Ju, Z.-Y., Pang, Y., Chen, Y.-Q., Wang, D.-Y., Tian, X.-G., Yan, J.-C., Deng, N.-Q., Yang, Y., & Ren, T.-L.
- Venue
- Nature Communications
- Published
- 2017-02-24
- Volume
- 8
- Issue
- 1
- Pages
- 14579-14579
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2591398273
- Cited by
- 558
- References
- 0
- FWCI
- 20.49
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An intelligent artificial throat with sound-sensing ability based on laser induced graphene. https://app.cochat.ai/papers/10.1038/ncomms14579
- The paper
- Tao, L.-Q., Tian, H., Liu, Y., Ju, Z.-Y., Pang, Y., Chen, Y.-Q., Wang, D.-Y., Tian, X.-G., Yan, J.-C., Deng, N.-Q., Yang, Y., & Ren, T.-L. (2017). An intelligent artificial throat with sound-sensing ability based on laser induced graphene. Nature Communications. https://doi.org/10.1038/ncomms14579
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.