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Jae Hyun Han

Researcher at KAIST

Publications -  20
Citations -  1714

Jae Hyun Han is an academic researcher from KAIST. The author has contributed to research in topics: Energy harvesting & Speaker recognition. The author has an hindex of 13, co-authored 20 publications receiving 1094 citations.

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Self-Powered Real-Time Arterial Pulse Monitoring Using Ultrathin Epidermal Piezoelectric Sensors

TL;DR: A self-powered piezoelectric pulse sensor is demonstrated to enable in vivo measurement of radial/carotid pulse signals in near-surface arteries and wireless transmission of detected arterial pressure signals to a smart phone demonstrates the possibility of self- powered and real-time pulse monitoring system.
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Self-Powered Wireless Sensor Node Enabled by an Aerosol-Deposited PZT Flexible Energy Harvester

TL;DR: Lee et al. as discussed by the authors proposed a functional ceramics group at the Korea Advanced Institute of Science and Technology (KAIST), which consists of three departments: Materials Science and Engineering, Energy Engineering, and Functional Ceramics Group.
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In Vivo Self-Powered Wireless Transmission Using Biocompatible Flexible Energy Harvesters

TL;DR: In this paper, a single-crystalline (1 − x)Pb(Mg1/3Nb2/3)O3−(x)pb(Zr,Ti)O 3 (PMN-PZT) energy harvester was successfully driven with in- vivo energy harvesting enabled by high-performance single crystalstalline PZT.
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Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.

TL;DR: Significant 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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Performance-enhanced triboelectric nanogenerator enabled by wafer-scale nanogrates of multistep pattern downscaling

TL;DR: In this paper, a triboelectric nanogenerator (TENG) with improved performance using extremely-long sub-50nm grating patterns with high aspect ratio (4,000,000:1) fabricated by the multistep pattern downscaling (MS-PaD) method, which is advantageous in terms of fast throughput, high resolution, cost-effectiveness, industrial compatibility and large area scalability in nanofabrication.