A hybrid sensor for motor tics recognition based on piezoelectric and triboelectric design and fabrication

Wang, Jie; Chen, Chih Chia; Shie, Chin Yau; Li, Tomi T.; Fuh, Yiin Kuen

doi:10.1016/j.sna.2022.113622

Cited by 14 publications

(9 citation statements)

References 32 publications

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“…The frequency of pressing SSFS for measurement is 1 Hz, the higher the pressing frequency, the higher the voltage output can be generated. [ 39,44 ] The pressing frequency test of SSFS is illustrated in Figure S2 (Supporting Information), Figure 5e indicates the resistance matching measurement of SSFS. The optimal resistance of 14.9 MΩ is shown as the intersection of V oc and I sc ‐resistance curves.…”

Section: Resultsmentioning

confidence: 99%

Self‐Powered Fire Alarm System with Layer‐by‐layer Graphene Oxide/Chitosan Nanocoating of Flame‐Retardant Nanofilms

Liu,

Chen,

Guo

et al. 2023

Adv Materials Technologies

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This study develops a self‐powered fire alarm system that utilizes a sandwich‐like self‐powered fire sensor (SSFS) with a simple system to prevent room fires. The SSFS is small, flame‐retardant, and can be easily installed on furniture or doors. The SSFS uses a nanogenerator constructed by poly(vinylidenefluoride‐co‐trifluoroethylene) (PVDF‐TrFE) nanofibers and a flexible printed circuit board (FPCB) to produce electrical power by harvesting motion energy. This nanogenerator can fully charge capacitors in a few minutes and produces a maximum voltage output of 6.47 V. The SSFS also features two flame‐retardant melamine foams (MFs) coated with graphene oxide (GO) and a chitosan multilayer nanocoating that is fabricated by layer‐by‐layer technology (LBL technology). While encountering a high‐temperature situation, the electrical state of MFs changes from insulated to conductive, triggering the fire alarm light in about four seconds. The sandwich‐like design allows the SSFS to respond to a variety of fire alarm situations, especially in the case where both the top and bottom of the fire alarm sensor are exposed to flame (bilateral fire burning). It is such an innovative research to decrease the delay time of fire‐warning by using this sandwich‐like design fire sensor. The nanogenerator can keep the warning working for 22 s after the initial trigger, which produces enough time to ensure people stay clear of the fire source. All in all, this study presents a novel approach to reducing the risk of building fires through a lightweight and self‐powered fire alarm system that harvests motion energy using piezoelectric nanogenerators (PENGs).

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Section: Resultsmentioning

confidence: 99%

Self‐Powered Fire Alarm System with Layer‐by‐layer Graphene Oxide/Chitosan Nanocoating of Flame‐Retardant Nanofilms

Liu,

Chen,

Guo

et al. 2023

Adv Materials Technologies

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“…As Figure 19C based on piezoelectricity and triboelectricity. 311 It could attain an output voltage of 5 V, which was 180% higher than that of the original PVDF-TrFE NG. The authors also developed a self-powered twitch recognition system through deep learning, using the recurrent neural network deep learning model.…”

Section: Hybrid Ngmentioning

confidence: 88%

Section: Hybrid Ngmentioning

confidence: 99%

“…The application range of sensors in identifying motion convulsions is very wide, which can be used to monitor the motion state of patients and detect and deal with the situation in a timely manner. As Figure C shows, Wang et al designed a bionic plant flexible sensor (PBHS) based on piezoelectricity and triboelectricity . It could attain an output voltage of 5 V, which was 180% higher than that of the original PVDF-TrFE NG.…”

Section: Hybrid Ngmentioning

confidence: 99%

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Recent Advances in Self-powered Sensors Based on Nanogenerators: From Material and Structural Design to Cutting-Edge Sensing Applications

Ren,

Guo,

Wang

et al. 2024

ACS Appl. Electron. Mater.

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The utilization of sensors has become indispensable in the advent of an intelligent era characterized by artificial intelligence, 5G communication, big data, and other cutting-edge technologies. Traditional sensors require external power sources or batteries, resulting in a complex sensing system that does not promote the development of sustainable and environmentally friendly applications for health monitoring. In recent years, the electrical output and stability of piezoelectric, triboelectric, thermoelectric, and hybrid nanogenerators have been significantly improved, enabling their widespread role in the development of self-powered sensors. The sensors are capable of performing sensing tasks by converting their own energy, thereby obviating the need for an external power supply. In this paper, we initially explore the operating mechanisms, device materials, and structures of diverse nanogenerators and evaluate their output efficacy. Subsequently, we showcase the latest advancements in self-powered sensor systems, spanning various fields such as biomedical and healthcare, wearable devices, sound monitoring, smart vehicles, environmental monitoring, and smart cities. The paper also explores the future potential of self-powered sensor systems, in addition to discussing their practical applications.

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“…Studies have shown that graphene significantly affects how polymers burn . Most studies demonstrate that carbon nanomaterial residues have a barrier effect, which restricts the mass and heat transmission between the vapor and condensed phases and is the mechanism by which graphene enhances the ability of polymers to resist flame. − The mechanical characteristics, electrical conductivity, thermal conductivity, and thermal stability of polymer composites might all be considerably improved by a little amount of graphene. − When nanocomposites burn, they play a crucial part in maximizing the expanded carbon. − …”

Section: Introductionmentioning

confidence: 99%

Flexible and Self-Powered Thermal Sensor Based on Graphene-Modified Intumescent Flame-Retardant Coating with Hybridized Nanogenerators

Shie

Chen

et al. 2023

ACS Appl. Nano Mater.

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The number of fire events that risk human life, the economy, and the environment has significantly increased in recent years. Uncontrolled fires are one of the main causes of building collapse. Due to the high smoke concentration threshold or infrared detection temperature required to activate the fire detector, the response time is long, and the fire warning and prevention effect are not ideal. For effective monitoring and early warning of fires, an innovative fire alarm system was fabricated in this study. This system combines a highly flexible and self-powered thermal sensor (FSTS) as well as a commercial light emitting diode (LED). The FSTS is a fire-retardant sensor and very easy to install. The innovation of this paper is the hierarchical structure of the FSTS. It combines a graphene-modified intumescent flame retardant (GIFR) flame-retardant coating layer with a self-powered PVDF-based nanogenerator, which shows an innovative design in the area of fire sensors. The structure integrates poly(vinylidenefluoride-co-trifluoroethylene) (PVDF-TrFE) micro/nano fibers (MNFs) deposited by a near-field electrospinning (NFES) process and an electrostatic friction layer by polydimethylsiloxane (PDMS) rolling over technology with a fully encapsulated GIFR coating. It can be used as a motion-induced energy harvester with a self-powered fire alarm system. The voltage output of the FSTS reaches 11.8 V, which can be easily matched with a bridge rectifier circuit to charge capacitors in daily life. The unique feature of the FSTS is that, at room temperature, the FSTS is electrically insulating; however, it conducts electricity at high temperatures. In a fire, high temperatures cause the coating to char and expand transitioning from an electrically insulating state to a conducting state. In this way, warning lights connected to the FSTS will respond within a short period (∼3 s), alerting people immediately so that urgent action can be taken. KEYWORDS: near-field electrospinning (NFES), poly(vinylidenefluoride-co-trifluoroethylene) (PVDF-TrFE), micro/nano fibers (MNFs), graphene-modified intumescent flame-retardant coating (GIFR coating), flexible self-powered thermal sensor (FSTS)

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A hybrid sensor for motor tics recognition based on piezoelectric and triboelectric design and fabrication

Cited by 14 publications

References 32 publications

Self‐Powered Fire Alarm System with Layer‐by‐layer Graphene Oxide/Chitosan Nanocoating of Flame‐Retardant Nanofilms

Self‐Powered Fire Alarm System with Layer‐by‐layer Graphene Oxide/Chitosan Nanocoating of Flame‐Retardant Nanofilms

Recent Advances in Self-powered Sensors Based on Nanogenerators: From Material and Structural Design to Cutting-Edge Sensing Applications

Flexible and Self-Powered Thermal Sensor Based on Graphene-Modified Intumescent Flame-Retardant Coating with Hybridized Nanogenerators

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