The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Triboelectric Generators and Sensors for Self-Powered Wearable Electronics
Abstract
In recent years, the field of wearable electronics has evolved at a rapid pace, requiring continued innovation in technologies in the fields of electronics, energy devices, and sensors. In particular, wearable devices have multiple applications in healthcare monitoring, identification, and wireless communications, and they are required to perform well while being lightweight and having small size, flexibility, low power consumption, and reliable sensing performances. In this Perspective, we introduce two recent reports on the triboelectric generators with high-power generation achieved using flexible and lightweight textiles or miniaturized and hybridized device configurations. In addition, we present a brief overview of recent developments and future prospects of triboelectric energy harvesters and sensors, which may enable fully self-powered wearable devices with significantly improved sensing capabilities.
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Cites
Flexible triboelectric generator
Fan, F.-R., Tian, Z.-Q., & Lin Wang, Z. (2012) · Nano Energy · doi:10.1016/j.nanoen.2012.01.004 · Cited by 6,705
Fan, F.-R., Lin, L., Zhu, G., Wu, W., Zhang, R., & Wang, Z. L. (2012) · Nano Letters · doi:10.1021/nl300988z · Cited by 1,985
Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices
Mitcheson, P. D., Yeatman, E. M., Rao, G. K., Holmes, A. S., & Green, T. C. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.927494 · Cited by 1,888
Flexible Energy‐Storage Devices: Design Consideration and Recent Progress
Wang, X., Lu, X., Liu, B., Chen, D., Tong, Y., & Shen, G. (2014) · Advanced Materials · doi:10.1002/adma.201400910 · Cited by 1,385
Toward Large-Scale Energy Harvesting by a Nanoparticle-Enhanced Triboelectric Nanogenerator
Zhu, G., Lin, Z.-H., Jing, Q., Bai, P., Pan, C., Yang, Y., Zhou, Y., & Wang, Z. L. (2013) · Nano Letters · doi:10.1021/nl4001053 · Cited by 1,128
McCarty, L. S., & Whitesides, G. M. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200701812 · Cited by 1,104
Wang, S., Xie, Y., Niu, S., Lin, L., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201305303 · Cited by 1,001
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
Yang, Y., Zhang, H., Lin, Z.-H., Zhou, Y. S., Jing, Q., Su, Y., Yang, J., Chen, J., Hu, C., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn403838y · Cited by 798
Nanopatterned Textile-Based Wearable Triboelectric Nanogenerator
Seung, W., Gupta, M. K., Lee, K. Y., Shin, K.-S., Lee, J.-H., Kim, T. Y., Kim, S., Lin, J., Kim, J. H., & Kim, S.-W. (2015) · ACS Nano · doi:10.1021/nn507221f · Cited by 714
Park, J., Lee, Y., Hong, J., Lee, Y., Ha, M., Jung, Y., Lim, H., Kim, S. Y., & Ko, H. (2014) · ACS Nano · doi:10.1021/nn505953t · Cited by 649
Self-citationBai, P., Zhu, G., Lin, Z.-H., Jing, Q., Chen, J., Zhang, G., Ma, J., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn4007708 · Cited by 628
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
In Vivo Powering of Pacemaker by Breathing‐Driven Implanted Triboelectric Nanogenerator
Zheng, Q., Shi, B., Fan, F., Wang, X., Yan, L., Yuan, W., Wang, S., Liu, H., Li, Z., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201402064 · Cited by 603
Yang, J., Chen, J., Su, Y., Jing, Q., Li, Z., Yi, F., Wen, X., Wang, Z., & Wang, Z. L. (2015) · Advanced Materials · doi:10.1002/adma.201404794 · Cited by 595
Park, S., Kim, H., Vosgueritchian, M., Cheon, S., Kim, H., Koo, J. H., Kim, T. R., Lee, S., Schwartz, G., Chang, H., et al. (2014) · Advanced Materials · doi:10.1002/adma.201402574 · Cited by 565
Harvesting Energy from the Natural Vibration of Human Walking
Yang, W., Chen, J., Zhu, G., Yang, J., Bai, P., Su, Y., Jing, Q., Cao, X., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn405175z · Cited by 520
Hydrophobic Sponge Structure‐Based Triboelectric Nanogenerator
Lee, K. Y., Chun, J., Lee, J., Kim, K. N., Kang, N., Kim, J., Kim, M. H., Shin, K., Gupta, M. K., Baik, J. M., et al. (2014) · Advanced Materials · doi:10.1002/adma.201401184 · Cited by 509
Zhu, G., Zhou, Y. S., Bai, P., Meng, X. S., Jing, Q., Chen, J., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201400021 · Cited by 484
Zi, Y., Lin, L., Wang, J., Wang, S., Chen, J., Fan, X., Yang, P., Yi, F., & Wang, Z. L. (2015) · Advanced Materials · doi:10.1002/adma.201500121 · Cited by 482
Self-Powered, Ultrasensitive, Flexible Tactile Sensors Based on Contact Electrification
Zhu, G., Yang, W. Q., Zhang, T., Jing, Q., Chen, J., Zhou, Y. S., Bai, P., & Wang, Z. L. (2014) · Nano Letters · doi:10.1021/nl5005652 · Cited by 464
Fabric‐Based Integrated Energy Devices for Wearable Activity Monitors
Jung, S., Lee, J., Hyeon, T., Lee, M., & Kim, D. (2014) · Advanced Materials · doi:10.1002/adma.201402439 · Cited by 357
Encoding of Direction of Fingertip Forces by Human Tactile Afferents
Birznieks, I., Jenmalm, P., Goodwin, A. W., & Johansson, R. S. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-20-08222.2001 · Cited by 356
Zhang, K., Wang, X., Yang, Y., & Wang, Z. L. (2015) · ACS Nano · doi:10.1021/nn507455f · Cited by 281
Wang, S., Niu, S., Yang, J., Lin, L., & Wang, Z. L. (2014) · ACS Nano · doi:10.1021/nn5054365 · Cited by 278
Personalized Keystroke Dynamics for Self-Powered Human–Machine Interfacing
Chen, J., Zhu, G., Yang, J., Jing, Q., Bai, P., Yang, W., Qi, X., Su, Y., & Wang, Z. L. (2015) · ACS Nano · doi:10.1021/nn506832w · Cited by 270
Pulsed Nanogenerator with Huge Instantaneous Output Power Density
Cheng, G., Lin, Z.-H., Lin, L., Du, Z.-L., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn403151t · Cited by 261
r-Shaped Hybrid Nanogenerator with Enhanced Piezoelectricity
Han, M., Zhang, X.-S., Meng, B., Liu, W., Tang, W., Sun, X., Wang, W., & Zhang, H. (2013) · ACS Nano · doi:10.1021/nn404023v · Cited by 236
Yi, F., Lin, L., Niu, S., Yang, J., Wu, W., Wang, S., Liao, Q., Zhang, Y., & Wang, Z. L. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201402703 · Cited by 191
Lee, H.-K., Chung, J., Chang, S.-I., & Yoon, E. (2011) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/21/3/035010 · Cited by 187
Lee, S., Ko, W., Oh, Y., Lee, J., Baek, G., Lee, Y., Sohn, J., Cha, S., Kim, J., Park, J., et al. (2015) · Nano Energy · doi:10.1016/j.nanoen.2015.01.009 · Cited by 186
Self-citationFriction, tribochemistry and triboelectricity: recent progress and perspectives
Galembeck, F., Burgo, T. A. L., Balestrin, L. B. S., Gouveia, R. F., Silva, C. A., & Galembeck, A. (2014) · RSC Adv. · doi:10.1039/c4ra09604e · Cited by 168
Triboelectric Sensor for Self-Powered Tracking of Object Motion inside Tubing
Su, Y., Zhu, G., Yang, W., Yang, J., Chen, J., Jing, Q., Wu, Z., Jiang, Y., & Wang, Z. L. (2014) · ACS Nano · doi:10.1021/nn500695q · Cited by 161
Silicon-Based Hybrid Energy Cell for Self-Powered Electrodegradation and Personal Electronics
Yang, Y. F., Zhang, H., Liu, Y., Lin, Z., Lee, S., Lin, Z., Wong, C. P., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn400361p · Cited by 138
Cited by
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
Flexible Nanogenerators for Energy Harvesting and Self‐Powered Electronics
Fan, F. R., Tang, W., & Wang, Z. L. (2016) · Advanced Materials · doi:10.1002/adma.201504299 · Cited by 1,918
Monitoring of Vital Signs with Flexible and Wearable Medical Devices
Khan, Y., Ostfeld, A. E., Lochner, C. M., Pierre, A., & Arias, A. C. (2016) · Advanced Materials · doi:10.1002/adma.201504366 · Cited by 1,408
Wen, Z., Yeh, M.-H., Guo, H., Wang, J., Zi, Y., Xu, W., Deng, J., Zhu, L., Wang, X., Hu, C., et al. (2016) · Science Advances · doi:10.1126/sciadv.1600097 · Cited by 854
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602
Metadata
- Authors
- Ha, M., Park, J., Lee, Y., & Ko, H.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-03-19
- Volume
- 9
- Issue
- 4
- Pages
- 3421-3427
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2312233289
- Cited by
- 288
- References
- 34
- FWCI
- 14.47
- Type
- journal article
- Language
- en
- Open access
- closed
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