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http://hdl.handle.net/10397/88634
Title: | Self-powered smart insole for monitoring human gait signals | Authors: | Wang, W Cao, J Yu, J Liu, R Bowen, CR Liao, WH |
Issue Date: | 2-Dec-2019 | Source: | Sensors, 2 . 2019, , v. 19, no. 24, 5336, p. 1-9 | Abstract: | With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered sensing is becoming desirable. Herein, a pair of smart insoles integrated with piezoelectric poly(vinylidene fluoride) (PVDF) nanogenerators (NGs) are fabricated to simultaneously harvest energy from human motion and monitor human gait signals. Multi-target magnetron sputtering technology is applied to form the aluminum electrode layers on the surface of the PVDF film and the self-powered insoles are fabricated through advanced 3D seamless flat-bed knitting technology. Output responses of the NGs are measured at different motion speeds and a maximum value of 41 V is obtained, corresponding to an output power of 168.1 mu W. By connecting one NG with an external circuit, the influence of external resistance, capacitor, and motion speed on the charging characteristics of the system is systematically investigated. To demonstrate the potential of the smart insoles for monitoring human gait signals, two subjects were asked to walk on a treadmill at different speeds or with a limp. The results show that one can clearly distinguish walking with a limp from regular slow, normal, and fast walking states by using multiscale entropy analysis of the stride intervals. | Keywords: | Self-powered Piezoelectric Smart insole Gait monitoring Multi-scale entropy |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sensors | EISSN: | 1424-8220 | DOI: | 10.3390/s19245336 | Rights: | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). The following publication Wang, W.; Cao, J.; Yu, J.; Liu, R.; Bowen, C.R.; Liao, W.-H. Self-Powered Smart Insole for Monitoring Human Gait Signals. Sensors 2019, 19, 5336 is available at https://dx.doi.org/10.3390/s19245336 |
Appears in Collections: | Journal/Magazine Article |
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