A 3D-printed acoustic triboelectric nanogenerator for quarter-wavelength acoustic energy harvesting and self-powered edge sensing

Yuan, Mengwei; Li, Chunhui; Liu, Hongmian; Xu, Qiu; Xie, Yannan

doi:10.1016/j.nanoen.2021.105962

Cited by 69 publications

(41 citation statements)

References 32 publications

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“…Another biosignal that can be effectively utilized for the human-machine interaction purpose is the human voice, which has attracted great attention recently due to the rapid development of voice recognition based on artificial intelligence technology [162][163][164]. TENG-based acoustic devices have also been investigated a lot towards self-powered microphones [39,73,74,[165][166][167][168]. Although these flexible acoustic devices show good performance and functionality, they are still rigid, which hinders their applications in the wearable device platform that can be comfortably integrated with the human skin.…”

Section: Other Wearable Hmismentioning

confidence: 99%

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Sun

Zhu

Lee

2021

Nanoenergy Advances

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Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable of providing humans with more intuitive interaction with the digitalized world have experienced a flourishing development in the past few years. Although the advanced sensing techniques based on complementary metal-oxide-semiconductor (CMOS) or microelectromechanical system (MEMS) solutions, e.g., camera, microphone, inertial measurement unit (IMU), etc., and flexible solutions, e.g., stretchable conductor, optical fiber, etc., have been widely utilized as sensing components for wearable/non-wearable HMIs development, the relatively high-power consumption of these sensors remains a concern, especially for wearable/portable scenarios. Recent progress on triboelectric nanogenerator (TENG) self-powered sensors provides a new possibility for realizing low-power/self-sustainable HMIs by directly converting biomechanical energies into valuable sensory information. Leveraging the advantages of wide material choices and diversified structural design, TENGs have been successfully developed into various forms of HMIs, including glove, glasses, touchpad, exoskeleton, electronic skin, etc., for sundry applications, e.g., collaborative operation, personal healthcare, robot perception, smart home, etc. With the evolving artificial intelligence (AI) and haptic feedback technologies, more advanced HMIs could be realized towards intelligent and immersive human–machine interactions. Hence, in this review, we systematically introduce the current TENG HMIs in the aspects of different application scenarios, i.e., wearable, robot-related and smart home, and prospective future development enabled by the AI/haptic-feedback technology. Discussion on implementing self-sustainable/zero-power/passive HMIs in this 5G/IoT era and our perspectives are also provided.

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Section: Other Wearable Hmismentioning

confidence: 99%

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Sun

Zhu

Lee

2021

Nanoenergy Advances

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“…As self-powered sensors based on TENG have the characteristics of low energy consumption, self-power, and high energy collection efficiency, they can effectively overcome the energy consumption problem. The study of Yuan et al [95] found that a 3D-printed acoustic friction nanometer self-powered edge sensing system (Figure 3a), which comprises a generator and control circuit, can harvest sound energy and convert voice signals into electrical signals. Experimental results have revealed that the system can generate 4.33 mW of output power under 100 dB of sound pressure level excitation.…”

Section: Self-powered Sensors Based On Triboelectric Nanogenerators 41 Application Of Teng-based Self-powered Sensors In Iotmentioning

confidence: 99%

Advances in Smart Sensing and Medical Electronics by Self-Powered Sensors Based on Triboelectric Nanogenerators

Jiang

Zhu

et al. 2021

Micromachines

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With the rapid progress of artificial intelligence, humans are moving toward the era of the intelligent connection of all things. Therefore, the demand for sensors is drastically increasing with developing intelligent social applications. Traditional sensors must be triggered by an external power source and the energy consumption is high for equipment that is widely distributed and working intermittently, which is not conducive to developing sustainable green and healthy applications. However, self-powered sensors based on triboelectric nanogenerators (TENG) can autonomously harvest energy from the surrounding environment and convert this energy into electrical energy for storage. Sensors can also be self-powered without an external power supply, which is vital for smart cities, smart homes, smart transportation, environmental monitoring, wearable devices, and bio-medicine. This review mainly summarizes the working mechanism of TENG and the research progress of self-powered sensors based on TENG about the Internet of Things (IoT), robotics, human–computer interaction, and intelligent medical fields in recent years.

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“…It is necessary to improve the flexibility and stretchability of these sensors for twist motions. Meanwhile, capacitor/resistance sensors present a risk of electricity leaking when the sensors are in the water [ 16 , 17 , 18 , 19 , 20 , 21 ]. Therefore, a soft, flexible, and self-powered sensor needs to be developed which can be used to monitor “Rip entry” technology.…”

Section: Introductionmentioning

confidence: 99%

A Stretchable and Self-Healing Hybrid Nano-Generator for Human Motion Monitoring

et al. 2021

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Transparent stretchable wearable hybrid nano-generators present great opportunities in motion sensing, motion monitoring, and human-computer interaction. Herein, we report a piezoelectric-triboelectric sport sensor (PTSS) which is composed of TENG, PENG, and a flexible transparent stretchable self-healing hydrogel electrode. The piezoelectric effect and the triboelectric effect are coupled by a contact separation mode. According to this effect, the PTSS shows a wide monitoring range. It can be used to monitor human multi-dimensional motions such as bend, twist, and rotate motions, including the screw pull motion of table tennis and the 301C skill of diving. In addition, the flexible transparent stretchable self-healing hydrogel is used as the electrode, which can meet most of the motion and sensing requirements and presents the characteristics of high flexibility, high transparency, high stretchability, and self-healing behavior. The whole sensing system can transmit signals through Bluetooth devices. The flexible, transparent, and stretchable wearable hybrid nanogenerator can be used as a wearable motion monitoring sensor, which provides a new strategy for the sports field, motion monitoring, and human-computer interaction.

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A 3D-printed acoustic triboelectric nanogenerator for quarter-wavelength acoustic energy harvesting and self-powered edge sensing

Cited by 69 publications

References 32 publications

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Advances in Smart Sensing and Medical Electronics by Self-Powered Sensors Based on Triboelectric Nanogenerators

A Stretchable and Self-Healing Hybrid Nano-Generator for Human Motion Monitoring

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