Theoretical Basis of Biomimetic Flexible Piezoelectric Acoustic Sensors for Future Customized Auditory Systems

Jung, Young Hoon; An, Jaehun; Hyeon, Dong Yeol; Wang, Hee Seung; Kim, Ingon; Jeong, Chang Kyu; Park, Kwi‐Il; Lee, Pooi See; Lee, Keon Jae

doi:10.1002/adfm.202309316

Cited by 9 publications

(1 citation statement)

References 62 publications

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“…An electromagnetic material is a typical component of an auditory sensor with a high sensitivity and fast response. Additionally, high-sensitivity pressure sensor can be used as auditory sensors due to their ability to detect of micro vibrations [135][136][137][138]. Liu et al [139] designed a triboelectric nanogenerator (TENG) with an Au/fluorinated ethylene propylene (FEP) film/Kapton film for acoustic signal detection.…”

Section: Flexible Near-sensor Auditory Systemmentioning

confidence: 99%

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

Liu,

Wang,

Liu

et al. 2024

Sensors

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As the Internet of Things (IoT) becomes more widespread, wearable smart systems will begin to be used in a variety of applications in people’s daily lives, not only requiring the devices to have excellent flexibility and biocompatibility, but also taking into account redundant data and communication delays due to the use of a large number of sensors. Fortunately, the emerging paradigms of near-sensor and in-sensor computing, together with the proposal of flexible neuromorphic devices, provides a viable solution for the application of intelligent low-power wearable devices. Therefore, wearable smart systems based on new computing paradigms are of great research value. This review discusses the research status of a flexible five-sense sensing system based on near-sensor and in-sensor architectures, considering material design, structural design and circuit design. Furthermore, we summarize challenging problems that need to be solved and provide an outlook on the potential applications of intelligent wearable devices.

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Section: Flexible Near-sensor Auditory Systemmentioning

confidence: 99%

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

Liu,

Wang,

Liu

et al. 2024

Sensors

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A Self‐Powered, Highly Sensitive, and Frequency‐Tunable Triboelectric Acoustic Sensor Inspired by the Human Cochlea

Kang,

Lee,

Song

et al. 2024

Adv Funct Materials

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Conventional acoustic sensors used in human–machine interfaces often face challenges such as power supply requirements, limited sensitivity, and inability to tune their frequency response. A self‐powered, highly sensitive, and frequency‐tunable triboelectric acoustic sensor inspired by the human cochlea is introduced. By mimicking hair cells in the organ of Corti, a tapered microhair‐structured ferroelectric poly(vinylidene fluoride‐co‐hexafluoropropylene) (PVDF‐HFP) and barium titanate nanoparticle (BTNP) composite film is proposed, which demonstrates a 16‐fold increase in triboelectric output voltage (1.3 V) compared to a planar one at 2.8 Pa. Furthermore, inspired by the frequency selectivity of the basilar membrane with gradient structural variations, integrating a mass‐beam diaphragm is proposed with varying kirigami length and circular mass diameter that enables precise tuning of the resonance frequency of the sensor, resulting in a 32 times improvement in sensitivity (860 mV Pa−1) compared to a nonbiomimetic sensor (28 mV Pa−1) and an expanded dynamic range. The proposed sensor differentiates between human voices with different frequencies. A robotic hand integrated with the sensor responds to acoustic stimuli with programmed hand gestures, which highlights its potential in acoustic human–machine interfaces. The biomimetic approach to developing a self‐powered, highly sensitive, and frequency‐tunable acoustic sensor offers new possibilities for intuitive and immersive human–machine interfaces.

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All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing

He,

Ge,

et al. 2024

Adv Funct Materials

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Wearable near/in‐sensor neuromorphic computing is driving next‐generation human‐artificial intelligence (AI) interface, the Internet of Things, and intelligent robots, with reservoir computing (RC) playing a pivotal role in advancing AI hardware, yet its potential remains underexplored. Herein, an all‐polymer accumulation‐mode organic electrochemical synaptic transistor (OEST) is demonstrated with controlled ionic dynamics that can facilitate high‐performance wearable RC while allowing entire recyclability. A microporous glycolated conjugated polymer channel (P3gCPDT‐1gT2) affords current output above mA level at <1 V and enables both volatile and non‐volatile modes in combination with soft poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)/sorbitol electrodes and electrolytes (gelatin/glycerol). Particularly, modulation of the volatile OESTs as nonlinear dynamic reservoirs are elucidated by tuning ionic dynamics with applied voltages and gel compositions. Moreover, such an all‐polymer device exhibits synaptic performance preservation over >3000 bending cycles and allows convenient recyclability using eco‐friendly solvents. A wearable and sustainable RC system can be thus established by configuring the volatile units for data processing and the nonvolatile units as the weight storage in a single‐layer perceptron readout. Such a simple platform achieves up to 90% accuracy in voice recognition tasks under bending. Thus, this work facilitates the widespread integration of multifunctional organic electronic hardware for implementing intelligent information processing with low‐cost, body‐conformable, and eco‐benign features.

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Theoretical Basis of Biomimetic Flexible Piezoelectric Acoustic Sensors for Future Customized Auditory Systems

Cited by 9 publications

References 62 publications

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

A Self‐Powered, Highly Sensitive, and Frequency‐Tunable Triboelectric Acoustic Sensor Inspired by the Human Cochlea

All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing

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