The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Triboelectric Touch‐Free Screen Sensor for Noncontact Gesture Recognizing
Abstract
An intelligent human–machine interface (HMI) is a crucial medium for exchanging information between people and electronics. As one of the most important HMI devices, touch screen sensors are widely applied in personal electronics in daily life. However, as the most commonly used touch screen sensor, capacitive sensors can only detect limited kinds of gestures such as touching and sliding. Here, a triboelectric touch‐free screen sensor (TSS) is reported for recognizing diverse gestures in a noncontact operating mode by utilizing the charges naturally carried on the human body. Compared with conventional capacitive sensors, the TSS is capable of detecting various gestures such as the drop and lift of finger with different speeds, making a fist, opening palm, and flipping palm with different directions. Based on the TSS, an intelligent noncontact screen control system is further developed, which is used to unlock the smartphone interface by the noncontact operating mode. This research for the first time proposes the concept that taking the human body itself to participate in triboelectric self‐powered noncontact sensing and provides a touch‐free design concept to develop the next generation of screen sensors. It can alter the usual way that people operating their personal electronics.
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
Cites
Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
Li, X., Cai, W., An, J., Kim, S., Nah, J., Yang, D., Piner, R., Velamakanni, A., Jung, I., Tutuc, E., et al. (2009) · Science · doi:10.1126/science.1171245 · Cited by 11,220
Learning the signatures of the human grasp using a scalable tactile glove
Sundaram, S., Kellnhofer, P., Li, Y., Zhu, J.-Y., Torralba, A., & Matusik, W. (2019) · Nature · doi:10.1038/s41586-019-1234-z · Cited by 1,162
Chen, J., Zhu, G., Yang, W., Jing, Q., Bai, P., Yang, Y., Hou, T., & Wang, Z. L. (2013) · Advanced Materials · doi:10.1002/adma.201302397 · Cited by 822
Pu, X., Guo, H., Chen, J., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2017) · Science Advances · doi:10.1126/sciadv.1700694 · Cited by 624
Lin, L., Xie, Y., Wang, S., Wu, W., Niu, S., Wen, X., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn4037514 · Cited by 604
Yang, J., Chen, J., Liu, Y., Yang, W., Su, Y., & Wang, Z. L. (2014) · ACS Nano · doi:10.1021/nn4063616 · Cited by 486
Wireless body sensor networks based on metamaterial textiles
Tian, X., Lee, P. M., Tan, Y. J., Wu, T. L. Y., Yao, H., Zhang, M., Li, Z., Ng, K. A., Tee, B. C. K., & Ho, J. S. (2019) · Nature Electronics · doi:10.1038/s41928-019-0257-7 · Cited by 434
An, B. W., Heo, S., Ji, S., Bien, F., & Park, J.-U. (2018) · Nature Communications · doi:10.1038/s41467-018-04906-1 · Cited by 426
Wen, Z., Yang, Y., Sun, N., Li, G., Liu, Y., Chen, C., Shi, J., Xie, L., Jiang, H., Bao, D., et al. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201803684 · Cited by 393
Self-citationWang, J., Liang, M., Fang, Y., Qiu, T., Zhang, J., & Zhi, L. (2012) · Advanced Materials · doi:10.1002/adma.201200055 · Cited by 328
Self-citation
Cited by
Wearable Sensors‐Enabled Human–Machine Interaction Systems: From Design to Application
Yin, R., Wang, D., Zhao, S., Lou, Z., & Shen, G. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202008936 · Cited by 769
Choi, D., Lee, Y., Lin, Z.-H., Cho, S., Kim, M., Ao, C. K., Soh, S., Sohn, C., Jeong, C. K., Lee, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12458 · Cited by 656
Shi, Z., Meng, L., Shi, X., Li, H., Zhang, J., Sun, Q., Liu, X., Chen, J., & Liu, S. (2022) · Nano-Micro Letters · doi:10.1007/s40820-022-00874-w · Cited by 282
Split-Ring Structured All-Inorganic Perovskite Photodetector Arrays for Masterly Internet of Things
Shi, B., Wang, P., Feng, J., Xue, C., Yang, G., Liao, Q., Zhang, M., Zhang, X., Wen, W., & Wu, J. (2023) · Nano-Micro Letters · doi:10.1007/s40820-022-00961-y · Cited by 43
Metadata
- Authors
- Tang, Y., Zhou, H., Sun, X., Diao, N., Wang, J., Zhang, B., Qin, C., Liang, E., & Mao, Y.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-12-06
- Volume
- 30
- Issue
- 5
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2994018886
- Cited by
- 266
- References
- 38
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- closed
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: Triboelectric Touch‐Free Screen Sensor for Noncontact Gesture Recognizing. https://app.cochat.ai/papers/10.1002/adfm.201907893
- The paper
- Tang, Y., Zhou, H., Sun, X., Diao, N., Wang, J., Zhang, B., Qin, C., Liang, E., & Mao, Y. (2020). Triboelectric Touch‐Free Screen Sensor for Noncontact Gesture Recognizing. Advanced Functional Materials. https://doi.org/10.1002/adfm.201907893
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.