Advancing Gesture Recognition: Innovations in Self-Powered, Flexible Wearable Devices and Sensory Systems

Authors

  • Linyi Gong

DOI:

https://doi.org/10.54097/k2c50p45

Keywords:

Gesture Recognition, Self-Powered, Flexible Wearable Devices, Sensory Systems.

Abstract

Wearable biosensors, increasingly integral in a digitally-evolving landscape, offer the benefits of flexibility, portability, safety, and real-time physiological monitoring, while also being environmentally sustainable. Despite significant advancements, the market expansion of these flexible devices is impeded by challenges related to energy availability and power consumption. This review delves into recent developments in self-powered, flexible wearable devices and sensing systems, focusing particularly on the roles of generators, batteries, and functional circuits. The existing obstacles are noteworthy, including limited power output of current technologies, the spatial and weight constraints imposed by energy storage devices, and the complexities involved in material synthesis. Addressing these issues will be transformative, potentially revolutionizing wearable sensor systems with advanced power technologies. This exploration not only underscores the current challenges but also highlights potential research avenues, emphasizing the profound impact that resolving energy issues could have on the deployment of wearable biosensors across various domains.

Downloads

Download data is not yet available.

References

Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019). Bio-Integrated Wearable Systems: A comprehensive review. Chemical Reviews, 119(8), 5461–5533.

Yin, R., Wang, D., Zhao, S., Lou, Z., & Shen, G. (2020). Wearable Sensors‐Enabled Human–Machine Interaction Systems: From design to application. Advanced Functional Materials, 31(11).

Yang, Q., Nguyen, E. P., De Carvalho Castro Silva, C., Rosati, G., & Merkoçi, A. (2022). Signal enhancement strategies. In Elsevier eBooks (pp. 123–168).

Zeng, X. G., Peng, R., Fan, Z., & Lin, Y. (2022). Self-powered and wearable biosensors for healthcare. Materials Today Energy, 23, 100900.

Self-Powered Intuitive Control Interface Towards Diversified Gaming, AI, and Online Shopping Applications. (2019). IEEE Conference Publication | IEEE Xplore.

Zhao, Z., Qiu, Y., Ji, S., Yang, Y., Liu, Y., Mo, J., & Zhu, J. (2024). Machine learning-assisted wearable sensing for high-sensitivity gesture recognition. Sensors and Actuators A: Physical, 365, 114877.

Dai, N., Lei, I. M., Li, Z., Li, Y., Peng, F., & Zhong, J. (2023). Recent advances in wearable electromechanical sensors

Moving towards machine learning-assisted wearable sensing systems. Nano Energy, 105, 108041.

Tang, W., Sun, Q., & Wang, Z. L. (2023). Self-Powered Sensing in Wearable Electronics A Paradigm Shift technology. Chemical Reviews, 123(21), 12105–12134.

Reddish, W. (1950). The dielectric properties of polyethylene terephthalate (Terylene). Transactions of the Faraday Society, 46, 459.

Meng, X., Obodo, D., & Yadavalli, V. K. (2019). The design, fabrication, and applications of flexible biosensing devices. Biosensors and Bioelectronics, 124–125, 96–114. https://doi.org/10.1016/j.bios.2018.10.019.

Yan, L., Mi, Y., Yin, L., Qin, Q., Wang, X., Meng, J., Liu, F., Wang, N., & Cao, X. (2022). Weaved piezoresistive triboelectric nanogenerator for human motion monitoring and gesture recognition. Nano Energy, 96, 107135. https://doi.org/10.1016/j.nanoen.2022.107135.

Tan, P., Han, X., Zou, Y., Qu, X., Xue, J., Li, T., Wang, Y., Luo, R., Cui, X., Yuan, X., Wu, L., Xue, B., Luo, D., Fan, Y., Chen, X., Zhou, L., & Wang, Z. L. (2022). Self‐Powered gesture recognition wristband enabled by machine learning for full keyboard and multicommand input. Advanced Materials, 34(21).

Zhao, J., Zha, J., Zeng, Z., & Tan, C. (2021). Recent advances in wearable self-powered energy systems based on flexible energy storage devices integrated with flexible solar cells. Journal of Materials Chemistry A, Materials for Energy and Sustainability, 9(35), 18887–18905.

Zhao, Z., Yin, L., Mi, Y., Meng, J., Cao, X., & Wang, N. (2022). Structural flexibility in triboelectric nanogenerators: A review on the adaptive design for self-powered systems. Micromachines, 13(10), 1586.

Pan, S., & Zhang, Z. (2018). Fundamental theories and basic principles of triboelectric effect: A review. Friction, 7(1), 2–17.

Cao, Y., Shao, H., Wang, H., Li, X., Zhu, M., Fang, J., Cheng, T., & Lin, T. (2022). A full-textile triboelectric nanogenerator with multisource energy harvesting capability. Energy Conversion and Management, 267, 115910.

Downloads

Published

11-07-2024

How to Cite

Gong, L. (2024). Advancing Gesture Recognition: Innovations in Self-Powered, Flexible Wearable Devices and Sensory Systems. Highlights in Science, Engineering and Technology, 102, 338-345. https://doi.org/10.54097/k2c50p45