PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring

Luo, Fangyuan; Chen, Bin; Xu, Ran; Ou‐Yang, Wei; Liu, Shang

doi:10.1016/j.cej.2022.138961

Cited by 31 publications

(22 citation statements)

References 68 publications

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“…94 In addition, Luo et al designed a flexible triboelectric sensor. 95 The researchers used microneedle-shaped tea-powder-encapsulated polydimethylsiloxane as the negative friction layer and NaClcontaining polyethylene oxide as the positive friction layer. 95 This triboelectric sensor could rapidly and accurately record body movements, recognize speaking and yawning, and judge breathing intensity.…”

Section: Triboelectric Sensormentioning

confidence: 99%

“…95 The researchers used microneedle-shaped tea-powder-encapsulated polydimethylsiloxane as the negative friction layer and NaClcontaining polyethylene oxide as the positive friction layer. 95 This triboelectric sensor could rapidly and accurately record body movements, recognize speaking and yawning, and judge breathing intensity. Based on these competences, the triboelectric sensors further found practical applications in safety guarantee for drivers, where they could be attached to the safety belt or the neck of the driver to real-time monitor driver status and degree of fatigue.…”

Section: Triboelectric Sensormentioning

confidence: 99%

“…Based on these competences, the triboelectric sensors further found practical applications in safety guarantee for drivers, where they could be attached to the safety belt or the neck of the driver to real-time monitor driver status and degree of fatigue. 95 In summary, microneedle structures can serve as a part of power units to improve the performances of magnetoelectric and triboelectric nanogenerators. This enables the self-powering of wearable electronics and the perception of weak pressure and tactile signals.…”

Section: Triboelectric Sensormentioning

confidence: 99%

“…In addition, Luo et al. designed a flexible triboelectric sensor 95 . The researchers used microneedle‐shaped tea‐powder‐encapsulated polydimethylsiloxane as the negative friction layer and NaCl‐containing polyethylene oxide as the positive friction layer 95 .…”

Section: Mechanism Of Microneedle‐based Power Unitsmentioning

confidence: 99%

“…This triboelectric sensor could rapidly and accurately record body movements, recognize speaking and yawning, and judge breathing intensity. Based on these competences, the triboelectric sensors further found practical applications in safety guarantee for drivers, where they could be attached to the safety belt or the neck of the driver to real‐time monitor driver status and degree of fatigue 95 …”

Section: Mechanism Of Microneedle‐based Power Unitsmentioning

confidence: 99%

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Functional microneedles for wearable electronics

Zhang

Cao

et al. 2023

Smart Medicine

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With an ideal comfort level, sensitivity, reliability, and user‐friendliness, wearable sensors are making great contributions to daily health care, nursing care, early disease discovery, and body monitoring. Some wearable sensors are imparted with hierarchical and uneven microstructures, such as microneedle structures, which not only facilitate the access to multiple bio‐analysts in the human body but also improve the abilities to detect feeble body signals. In this paper, we present the promising applications and latest progress of functional microneedles in wearable sensors. We begin by discussing the roles of microneedles as sensing units, including how the signals are captured, converted, and transmitted. We also introduce the microneedle‐like structures as power units, which depend on triboelectric or piezoelectric effects, etc. Finally, we summarize the cutting‐edge applications of microneedle‐based wearable sensors in biophysical signal monitoring and biochemical analyte detection, and provide critical thinking on their future perspectives.

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Section: Triboelectric Sensormentioning

confidence: 99%

Section: Triboelectric Sensormentioning

confidence: 99%

Section: Triboelectric Sensormentioning

confidence: 99%

Section: Mechanism Of Microneedle‐based Power Unitsmentioning

confidence: 99%

Section: Mechanism Of Microneedle‐based Power Unitsmentioning

confidence: 99%

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Functional microneedles for wearable electronics

Zhang

Cao

et al. 2023

Smart Medicine

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Poly‐DADMAC Functionalized Polyethylene Oxide Composite Nanofibrous Mat as Highly Positive Material for Triboelectric Nanogenerators and Self‐Powered Pressure Sensors

Robiul Islam,

Faruk,

Rana

et al. 2024

Adv Funct Materials

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The triboelectric nanogenerator (TENG) is a promising technology for self‐powered sensors and vibration‐driven energy harvesting, with its development especially influenced by the characteristics of tribomaterials. However, developing tribopositive materials with a strong cationic effect and high electron‐donating capability remains challenging. In this study, a novel polyethylene oxide@poly(diallyldimethylammonium chloride) (PEO@Poly‐DADMAC) composite nanofiber mat (NFM) is successfully fabricated using the electrospinning technique. It functions as a highly tribopositive material, particularly enhancing the performance of nanofiber‐based TENGs (NF‐TENGs). Through investigation of its physical and triboelectric properties, the study revealed that incorporating cationic Poly‐DADMAC with PEO effectively boosts NF‐TENG output by increasing the dielectric constant (twofold), electron‐donating affinities, and surface charge trapping capability. The fabricated NF‐TENG shows excellent output performance generating 980 V, a maximum power density of 5.6 Wm−2, and an ultrahigh sensitivity of 8.923 V kPa−1 which endows composite reliability for power supply and sensing capability. More importantly, the PEO@Poly‐DADMAC‐based self‐powered motion sensor with an NF‐TENG array is successfully demonstrated in multifunctional applications such as athlete activity tracking, and wireless gaming interface control. This study not only offers new insights into optimizing performance and selecting alternative tribomaterials but also provides valuable guidance for developing high‐output TENGs and highly sensitive self‐powered sensors.

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AI‐Assisted Self‐Powered Vehicle‐Road Integrated Electronics for Intelligent Transportation Collaborative Perception

Pang,

Zhu,

et al. 2024

Advanced Materials

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Collaborative perception between a vehicle and the road has the potential to enhance the limited perception capability of autonomous driving technologies. With this background, self‐powered vehicle‐road integrated electronics (SVRIE) with a multilevel fractal structure is designed to play a dual role, including a SVRIE device integrated into vehicle tires and a SVRIE array embedded into a road surface. The pressure sensing capability and anti‐crosstalk performance of the SVRIE array are characterized separately to validate the feasibility of applying the SVRIE in a cooperative vehicle‐infrastructure system. It is demonstrated that the SVRIE based on the multi‐layered fractal structure exhibits maximum performance in collaborative sensing and interaction between vehicles and road information, such as vehicle motion, road surface condition, and tire life cycle health monitoring. Traditional data analysis methods are often of questionable accuracy. Therefore, a convolutional neural network is used to classify the vehicle and road conditions with accuracy of at least 88.3%. The transfer learning model is constructed to enhance the road surface identification capabilities with 100% accuracy. The accuracies of the vehicle tire motion recognition and tire health monitoring are 97% and 99%, respectively. This work provides new ideas for collaborative perception between vehicles and roadsides.

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PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring

Cited by 31 publications

References 68 publications

Functional microneedles for wearable electronics

Functional microneedles for wearable electronics

Poly‐DADMAC Functionalized Polyethylene Oxide Composite Nanofibrous Mat as Highly Positive Material for Triboelectric Nanogenerators and Self‐Powered Pressure Sensors

AI‐Assisted Self‐Powered Vehicle‐Road Integrated Electronics for Intelligent Transportation Collaborative Perception

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