A comprehensive review on triboelectric nanogenerators based on Real-Time applications in energy harvesting and Self-Powered sensing

Munirathinam, Prabavathi; Mathew, Ammu Anna; Shanmugasundaram, Vivekanandan; Vivekananthan, Venkateswaran; Purusothaman, Yuvasree; Kim, Sang‐Jae; Chandrasekhar, Arunkumar

doi:10.1016/j.mseb.2023.116762

Cited by 44 publications

(12 citation statements)

References 113 publications

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“…[15][16][17] Wearable electronics continue to improve the quality of human life and unlock new opportunities in materials, electronics, physics, chemistry, biology, medicine, and manufacturing. 18,19 In particular, wearable sensors that can monitor human motion have demonstrated outstanding potential in sports. Meanwhile, with the impressive evolution of fifth-generation wireless networks, the delay in information transmission can be ignored.…”

Section: Introductionmentioning

confidence: 99%

“…Based on its flexibility and lightness, TENG has been widely used in various fields, including motion monitoring, 1–3 medical health, 4–8 human–machine interaction, 9–14 and disease diagnosis 15–17 . Wearable electronics continue to improve the quality of human life and unlock new opportunities in materials, electronics, physics, chemistry, biology, medicine, and manufacturing 18,19 . In particular, wearable sensors that can monitor human motion have demonstrated outstanding potential in sports.…”

Section: Introductionmentioning

confidence: 99%

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Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

Zhao,

Guo,

Pan

et al. 2024

InfoMat

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Quantitative analysis of gait parameters, such as stride frequency and step speed, is essential for optimizing physical exercise for the human body. However, the current electronic sensors used in human motion monitoring remain constrained by factors such as battery life and accuracy. This study developed a self‐powered gait analysis system (SGAS) based on a triboelectric nanogenerator (TENG) fabricated electrospun composite nanofibers for motion monitoring and gait analysis for regulating exercise programs. The SGAS consists of a sensing module, a charging module, a data acquisition and processing module, and an Internet of Things (IoT) platform. Within the sensing module, two specialized sensing units, TENG‐S1 and TENG‐S2, are positioned at the forefoot and heel to generate synchronized signals in tandem with the user's footsteps. These signals are instrumental for real‐time step count and step speed monitoring. The output of the two TENG units is significantly improved by systematically investigating and optimizing the electrospun composite nanofibers' composition, strength, and wear resistance. Additionally, a charge amplifier circuit is implemented to process the raw voltage signal, consequently bolstering the reliability of the sensing signal. This refined data is then ready for further reading and calculation by the micro‐controller unit (MCU) during the signal transmission process. Finally, the well‐conditioned signals are wirelessly transmitted to the IoT platform for data analysis, storage, and visualization, enhancing human motion monitoring.image

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

Zhao,

Guo,

Pan

et al. 2024

InfoMat

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“…Following the pioneering work of Wang et al in 2012 [ 18 ], who introduced the triboelectric nanogenerator (TENG), the progressive advancements in TENG have demonstrated tremendous potential for application in high-entropy energy collection [ 19 , 20 ]. In addition to energy harvesting, triboelectric sensors also have demonstrated advantages such as low cost, easy fabrication, and a wide range of material options [ 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Triboelectric Contact Localization Electronics: A Systematic Review

Xu,

Ren,

et al. 2024

Sensors

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The growing demand from the extended reality and wearable electronics market has led to an increased focus on the development of flexible human-machine interfaces (HMI). These interfaces require efficient user input acquisition modules that can realize touch operation, handwriting input, and motion sensing functions. In this paper, we present a systematic review of triboelectric-based contact localization electronics (TCLE) which play a crucial role in enabling the lightweight and long-endurance designs of flexible HMI. We begin by summarizing the mainstream working principles utilized in the design of TCLE, highlighting their respective strengths and weaknesses. Additionally, we discuss the implementation methods of TCLE in realizing advanced functions such as sliding motion detection, handwriting trajectory detection, and artificial intelligence-based user recognition. Furthermore, we review recent works on the applications of TCLE in HMI devices, which provide valuable insights for guiding the design of application scene-specified TCLE devices. Overall, this review aims to contribute to the advancement and understanding of TCLE, facilitating the development of next-generation HMI for various applications.

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“…As most of these systems will be operated predominantly indoors, there is a limited number of energy harvesting technologies available to provide power remotely. Heat (thermoelectricity), [3][4][5] mechanical vibration/movement (piezo-and tribo-electricity), [6,7] harvesting energy from radio frequencies available in the environment, [8] and ambient light (photovoltaics [PVs]) [9] have been considered in detail. Under typical indoor conditions, all of them provide only moderate/low power density, and converting ambient light into electricity appears to be the most promising power source.…”

Section: Introductionmentioning

confidence: 99%

Efficiency of Emerging Photovoltaic Devices under Indoor Conditions

Scharber

2023

Solar RRL

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Emerging photovoltaic (PV) technologies are considered to be excellent candidates to be used as power sources for indoor and low‐light applications. The already demonstrated high power conversion efficiencies (PCEs) and the potential to manufacture perovskite, organic, or dye‐sensitized solar cells at low cost make them particularly interesting. In this work, the maximum PCE of PV devices under low‐light conditions is explored. The role of spectral mismatch, non‐radiative recombination, and parasitic Ohmic losses is investigated. The performed calculation provides guidelines to improve the low‐light performance of PV devices for ambient light. In addition, a simple measurement procedure for the indoor PCE is discussed.

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A comprehensive review on triboelectric nanogenerators based on Real-Time applications in energy harvesting and Self-Powered sensing

Cited by 44 publications

References 113 publications

Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

Triboelectric Contact Localization Electronics: A Systematic Review

Efficiency of Emerging Photovoltaic Devices under Indoor Conditions

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