Evolution From Single to Hybrid Nanogenerator: A Contemporary Review on Multimode Energy Harvesting for Self-Powered Electronics

Khan, Asif Abdullah; Mahmud, Alam; Ban, Dayan

doi:10.1109/tnano.2018.2876824

Cited by 57 publications

(39 citation statements)

References 77 publications

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“…Hybrid energy harvesters with the functions of simultaneously scavenging different kinds of energy, miniaturizing the size of device, and compensating for the respective shortcomings of each type are highly desirable for future wearable power sources, which have become a popular research topic . Due to the collaboration of different mechanisms from individual components, the energy‐harvesting capabilities are strengthened and the sensing of a variety of signals are enriched, which can meet the practical demand of wearable electronics.…”

Section: Textile‐based Piezoelectric and Triboelectric Hybrid Nanogenmentioning

confidence: 99%

Fiber/Fabric‐Based Piezoelectric and Triboelectric Nanogenerators for Flexible/Stretchable and Wearable Electronics and Artificial Intelligence

2019

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fields is breaking out, such as the Internet of Things (IoTs), big data, humanoid robotics, and artificial intelligence (AI). Nowadays, the rapid advancement of these functional electronic devices is transforming the way people communicate with each other and with their surroundings, which has integrated our world into an intelligent information network. Owing to that no electronics works without electricity, the processes of human informatization and intelligence depend on broad energy supplies and powerful power supports. In other words, electric power can be regarded as the flowing blood that keeps every components of the current society running normally and healthily. However, with the rapid consumption of conventional fossil fuels as well as the growing voice of environmental protection, the current energy structure and its supply status are facing unprecedented challenges. On the one hand, the overwhelming energy crisis and ecological deterioration have become huge bottlenecks restricting socioeconomic development.[1] Some serious situations may even worsen to the root of interstate interest conflicts or the disaster that threatens the survival of mankind. In this case, the transform of energy structure from scarce, pollution-prone, and irreproducible mineral resources to abundant, environmentally friendly, and renewable green energies is desperately required. On the other hand, the traditional centralized, immobile, and ordered energy supply patterns based on power plants are incompatible with the present development of functional electronics associated with individual person, which follows a general trend of miniaturization, portability, and low power. As the information age is coming, billions of things must be connected with sensors for various measurements, perceptions, controls, and data transmissions. [2] These mobile, human-oriented, randomly and massively distributed sensing networks also require the corresponding matched power supply system. Therefore, it turns out that the unreasonable energy structures as well as the mismatched supply pattern lead to the current development dilemma.Portable power supplies and self-powered systems are the most promising solutions for the above straits. For wearable power sources, one of the compromises is to choose small-size Integration of advanced nanogenerator technology with conventional textile processes fosters the emergence of textile-based nanogenerators (NGs), which will inevitably promote the rapid development and widespread applications of next-generation wearable electronics and multifaceted artificial intelligence systems. NGs endow smart textiles with mechanical energy harvesting and multifunctional self-powered sensing capabilities, while textiles provide a versatile flexible design carrier and extensive wearable application platform for their development. However, due to the lack of an effective interactive platform and communication channel between researchers specializing in NGs and those good at textiles, it is rather difficult to achieve fiber...

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Section: Textile‐based Piezoelectric and Triboelectric Hybrid Nanogenmentioning

confidence: 99%

Fiber/Fabric‐Based Piezoelectric and Triboelectric Nanogenerators for Flexible/Stretchable and Wearable Electronics and Artificial Intelligence

2019

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“…For a better understanding of the MEMS/NEMS sensors, three typical kinds of MEMS sensors were introduced from the aspect of the operating frequency. With the help of the mechanical vibration [198] in the MEMS accelerometer and MEMS gyroscope, those sensors can be used as an energy harvesting device or the self-power sensor to identify its excitation acceleration. To decrease its power consumption, the idea of the zero-power or the wake-up was raised up interests by researchers, which meant the sensors with almost zero-power consumption (called accident-based or event-based sensor).…”

Section: Outlooks and Conclusionmentioning

confidence: 99%

Development Trends and Perspectives of Future Sensors and MEMS/NEMS

et al. 2019

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With the fast development of the fifth-generation cellular network technology (5G), the future sensors and microelectromechanical systems (MEMS)/nanoelectromechanical systems (NEMS) are presenting a more and more critical role to provide information in our daily life. This review paper introduces the development trends and perspectives of the future sensors and MEMS/NEMS. Starting from the issues of the MEMS fabrication, we introduced typical MEMS sensors for their applications in the Internet of Things (IoTs), such as MEMS physical sensor, MEMS acoustic sensor, and MEMS gas sensor. Toward the trends in intelligence and less power consumption, MEMS components including MEMS/NEMS switch, piezoelectric micromachined ultrasonic transducer (PMUT), and MEMS energy harvesting were investigated to assist the future sensors, such as event-based or almost zero-power. Furthermore, MEMS rigid substrate toward NEMS flexible-based for flexibility and interface was discussed as another important development trend for next-generation wearable or multi-functional sensors. Around the issues about the big data and human-machine realization for human beings’ manipulation, artificial intelligence (AI) and virtual reality (VR) technologies were finally realized using sensor nodes and its wave identification as future trends for various scenarios.

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“…To solve this foreseeing energy crisis issue, energy harvesting technologies and advanced storage devices have emerged to make the waste energy in our surrounding environment valuable. Motivated by that, substantial efforts have been made for the development of wearable systems equipped with the abovementioned advanced technologies and potential self-sustainability [18][19][20][21] .…”

Section: Introductionmentioning

confidence: 99%

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

et al. 2020

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The era of artificial intelligence and internet of things is rapidly developed by recent advances in wearable electronics. Gait reveals sensory information in daily life containing personal information, regarding identification and healthcare. Current wearable electronics of gait analysis are mainly limited by high fabrication cost, operation energy consumption, or inferior analysis methods, which barely involve machine learning or implement nonoptimal models that require massive datasets for training. Herein, we developed low-cost triboelectric intelligent socks for harvesting waste energy from low-frequency body motions to transmit wireless sensory data. The sock equipped with self-powered functionality also can be used as wearable sensors to deliver information, regarding the identity, health status, and activity of the users. To further address the issue of ineffective analysis methods, an optimized deep learning model with an end-to-end structure on the socks signals for the gait analysis is proposed, which produces a 93.54% identification accuracy of 13 participants and detects five different human activities with 96.67% accuracy. Toward practical application, we map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring, healthcare, identification, and future smart home applications.

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Evolution From Single to Hybrid Nanogenerator: A Contemporary Review on Multimode Energy Harvesting for Self-Powered Electronics

Cited by 57 publications

References 77 publications

Fiber/Fabric‐Based Piezoelectric and Triboelectric Nanogenerators for Flexible/Stretchable and Wearable Electronics and Artificial Intelligence

Fiber/Fabric‐Based Piezoelectric and Triboelectric Nanogenerators for Flexible/Stretchable and Wearable Electronics and Artificial Intelligence

Development Trends and Perspectives of Future Sensors and MEMS/NEMS

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

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