Abstract
A sensor system with ultra-high sensitivity, high resolution, rapid response time, and a high signal-to-noise ratio can produce raw data that is exceedingly rich in information, including signals that have the appearances of "noise". The "noise" feature directly correlates to measurands in orthogonal dimensions, and are simply manifestations of the off-diagonal elements of 2nd-order tensors that describe the spatial anisotropy of matter in physical structures and spaces. The use of machine learning techniques to extract useful meanings from the rich information afforded by ultra-sensitive one-dimensional sensors may offer the potential for probing mundane events for novel embedded phenomena. Inspired by our very recent invention of ultra-sensitive optical-based inclinometers, this work aims to answer a transformative question for the first time: can a single-dimension point sensor with ultra-high sensitivity, fidelity, and signal-to-noise ratio identify an arbitrary mechanical impact event in three-dimensional space? This work is expected to inspire researchers in the fields of sensing and measurement to promote the development of a new generation of powerful sensors or sensor networks with expanded functionalities and enhanced...Continue Reading
References
Sep 13, 2003·Journal of Biomedical Informatics·Stephan Dreiseitl, Lucila Ohno-Machado
Aug 10, 2005·Physiological Measurement·Paul S Addison
Oct 30, 2010·Science·G GagliardiP De Natale
Dec 14, 2011·Sensors·Honglei GuoJianping Yao
Jun 30, 2012·Optics Letters·Jun MaJi Yan Dai
Jun 1, 2013·Journal of Biomedical Optics·Paulo RorizJosé A Simões
Jul 1, 2014·Optics Letters·Feng XuBenli Yu
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Jul 18, 2015·Science·M I Jordan, T M Mitchell
Feb 18, 2017·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Bradley J EricksonTimothy L Kline
Feb 7, 2018·Optics Express·Yiyang ZhuangJie Huang
Mar 1, 2018·Science Advances·Thibaut PerolMarine Denolle
Oct 12, 2018·Light, Science & Applications·Babak RahmaniChristophe Moser
Nov 22, 2018·Applied Optics·Ping Wang, Jianglei Di
Mar 23, 2019·Science·Karianne J BergenGregory C Beroza
May 3, 2019·Nature Communications·Piergiorgio CaramazzaDaniele Faccio
Sep 11, 2019·Applied Optics·Bangtian XuTiegen Liu