J
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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Journal ArticleDOI
Self-Powered Real-Time Arterial Pulse Monitoring Using Ultrathin Epidermal Piezoelectric Sensors
Dae Yong Park,Daniel J. Joe,Dong-Hyun Kim,Hyewon Park,Jae Hyun Han,Chang Kyu Jeong,Chang Kyu Jeong,Hyelim Park,Jung Gyu Park,Boyoung Joung,Keon Jae Lee +10 more
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.
Journal ArticleDOI
Self-Powered Wireless Sensor Node Enabled by an Aerosol-Deposited PZT Flexible Energy Harvester
Geon-Tae Hwang,Venkateswarlu Annapureddy,Jae Hyun Han,Daniel J. Joe,Changyeon Baek,Dae Yong Park,Dong Hyun Kim,Jung-Hwan Park,Chang Kyu Jeong,Kwi-Il Park,Jong-Jin Choi,Do Kyung Kim,Jungho Ryu,Keon Jae Lee +13 more
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
Dong-Hyun Kim,Hong Ju Shin,Hyunseung Lee,Chang Kyu Jeong,Hyewon Park,Geon-Tae Hwang,Ho Yong Lee,Daniel J. Joe,Jae Hyun Han,Seung Hyun Lee,Jaeha Kim,Boyoung Joung,Keon Jae Lee +12 more
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.
Journal ArticleDOI
Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.
Younghoon Jung,Seong Kwang Hong,Hee Seung Wang,Jae Hyun Han,Trung X. Pham,Hyunsin Park,Junyeong Kim,Sunghun Kang,Chang D. Yoo,Keon Jae Lee +9 more
TL;DR: Significant developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self‐powered sensors, machine learning algorithms, and speaker recognition.
Journal ArticleDOI
Performance-enhanced triboelectric nanogenerator enabled by wafer-scale nanogrates of multistep pattern downscaling
Hee Seung Wang,Chang Kyu Jeong,Chang Kyu Jeong,Min-Ho Seo,Daniel J. Joe,Jae Hyun Han,Jun-Bo Yoon,Keon Jae Lee +7 more
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.