Basilar membrane-inspired self-powered acoustic sensor enabled by highly sensitive multi tunable frequency band

Han, Jae Hyun; Kwak, Jae-Man; Joe, Daniel J.; Hong, Seong‐Kwan; Wang, Hee Seung; Park, Jung Hwan; Hur, Shin; Lee, Keon Jae

doi:10.1016/j.nanoen.2018.08.053

Cited by 96 publications

(82 citation statements)

References 55 publications

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“…In particular, flexible memory is regarded as a vital component for high‐performance flexible electronics considering its fundamental functions in signal processing, data storage, and interdevice communication. Furthermore, a flexible artificial synapse can be employed in an implantable BMI, providing a valuable route to restore damaged neural functions such as vision, hearing, movement, and even complex cognitive behaviors …”

Section: Flexible Memristive Devicesmentioning

confidence: 99%

Unconventional Inorganic‐Based Memristive Devices for Advanced Intelligent Systems

Sung

Kim

et al. 2019

Adv Materials Technologies

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The latest progresses in software engineering such as cloud computing, big data analysis, and machine learning have accelerated the emergence of advanced intelligent systems (AIS). However, the current computing system has significant challenges in dealing with unstructured data (e.g., image, voice, physiological signals) because the von‐Neumann bottleneck induces latency and power consumption issues. Neuromorphic computing, which imitates the behaviors of neuron and synapse within the biological neural network, is considered a promising solution beyond von‐Neumann architecture, since its collocated structure of processor and memory enables parallel processing of unstructured data with remarkable efficiency. Memristors are considered as next‐generation nonvolatile memory devices due to fast speed, low power, and excellent scalability. However, a low reliability and leakage current issues remain as obstacle to the commercialization of memristors. Memristive devices have been widely investigated as a strong candidate for artificial synapses since their resistance modulation characteristics under electrical stimulus are analogous to the plasticity of the brain synapse. Although emulation of synaptic behavior by single memristor cells is demonstrated by many researchers, the development of fully functional memristive neural network requires further investigations. This paper introduces the recent advances and developments in the field of inorganic‐based unconventional memristive devices for future AIS applications.

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Section: Flexible Memristive Devicesmentioning

confidence: 99%

Unconventional Inorganic‐Based Memristive Devices for Advanced Intelligent Systems

Sung

Kim

et al. 2019

Adv Materials Technologies

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“…Speech recognition system involves two main parts: i) acoustic hardware sensors, ii) speech recognition software . Acoustic sensor detects sound pressure of human utterance and coverts original analog speech sound into electrical data . The general speech signals have 60 dB of magnitude over audible frequency range (20 Hz to 20 kHz) .…”

Section: Introductionmentioning

confidence: 99%

“…The condenser type microphones is widely commercialized acoustic sensor to detect sound signal by using the difference of capacitance between two conducting diaphragms . This capacitive sensors belong to the nonresonance type that exhibits the flat frequency response.…”

Section: Introductionmentioning

confidence: 99%

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

et al. 2019

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Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning software will play an innovative interface for artificial intelligence (AI) services. Collaboration and novel approaches between both smart sensors and speech algorithms should be attempted to realize a hyperconnected society, which can offer personalized services such as biometric authentication, AI secretaries, and home appliances. Here, representative developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self‐powered sensors, machine learning algorithms, and speaker recognition.

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“…Recent progress in the field of thin‐film µLEDs is classified into five main categories: (i) research trends of µLED technology, (ii) device structure of µLEDs, (iii) µLED transfer methods, (iv) strategies for performance enhancement, and (v) potential research areas. µLED applications such as next‐generation displays, wearable optoelectronics, optogenetic/trichogenic biostimulators, and healthcare biomedical sensors will be discussed …”

Section: Introductionmentioning

confidence: 99%

Micro Light‐Emitting Diodes for Display and Flexible Biomedical Applications

Lee

Shin

Park

et al. 2019

Adv Funct Materials

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151

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Inorganic-based micro light-emitting diodes (µLEDs) have witnessed significant improvements in terms of display and biomedical applications, which can shift the paradigm of future optoelectronic systems. In particular, µLED displays are on the verge of becoming the next big interface platform for visual communications, expanding to various internet of things and wearable/bioapplications. Novel µLED concepts need to be upgraded to be able to satisfy their potential optoelectric applications, such as virtual reality, smart watches, and medical sensors for individual computing in this hyperconnected society. Here, representative progresses in the field of flexible µLEDs are reviewed with regard to device structures, massive µLED transfers, methods for performance enhancement, and applications.

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Basilar membrane-inspired self-powered acoustic sensor enabled by highly sensitive multi tunable frequency band

Cited by 96 publications

References 55 publications

Unconventional Inorganic‐Based Memristive Devices for Advanced Intelligent Systems

Unconventional Inorganic‐Based Memristive Devices for Advanced Intelligent Systems

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Micro Light‐Emitting Diodes for Display and Flexible Biomedical Applications

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