學術報告 | 美國維拉諾瓦大學Moeness G. Amin教授學術報告

發布者:孫威發布時間:2019-07-15浏覽次數:979



報告名稱:Radar for Indoor Monitoring

報告人: Prof. Moeness  G. Amin, Villanova University, USA

時間:2019.7.19上午8:30-11:30

地點:beat365正版唯一四牌樓校區中山院112


Abstract

Seeing” through walls and imaging of building interiors are of prime importance in security and defense applications. For more than a decade, extensive research and development efforts have focused on first learning radar phenomenology for these applications. This is followed devising new algorithms to discern the “blueprint” of buildings, from outside looking, and to detect animate and inanimate objects behind walls. Some of these technologies are now driving a new radar application that touches on our daily living.  It is radar for indoor monitoring, remote health monitoring and telemedicine. Radar holds much promise as a relatively new sensor modality with unique advantages that may complement other sensors, e.g. visual, infrared, and wearable sensors. Recent research includes monitoring human motions for effective man-machine interface, quantifying changes in habits and daily routines, and detection of normal and abnormal motion activities. Radar can also be a valuable non-wearable device to alert first responders in case of human fall. This is an emerging and important application for assisted living and the broad area of “aging-in-place.”  In this tutorial, we discuss the on-going research and the main results regarding human activity recognition indoor. Both data-driven feature extraction and handcrafted features are considered. The former includes Principal Component Analysis and Neural Networks, whereas the former relies on the kinematic of human motion articulation. The challenges of classifying contiguous, inseparable motions are addressed. The tutorial will also deal with detection of gait abnormalities as well as automatic hand and arm gesture recognition.

專家簡介

Moeness G. Amin 教授分别是IEEE Fellow 2001)、SPIE Fellow2007)、IET Fellow2010)和EURASIP Fellow2015)。Dr. Amin 教授是2017年富布萊特高級科學技術****的獲得者;2016年亞曆山大﹒馮﹒洪堡研究獎得主;獲得2016IET成就獎;2014IEEE信号處理學會技術成就獎得主;獲得2009年歐洲信号處理協會頒發的技術成就獎;2015IEEE航空和電子系統協會的獲獎者,獲得雷達工程卓越獎。Dr. Amin教授是IEEE 第三千禧年獎章的獲得者,他曾擔任2003-2004IEEE信号處理傑出講師,并且是富蘭克林研究所科學與藝術委員會電氣小組的前任主席。他與人合著了21本書的章節,同時擔任有CRC出版社出版的“穿牆雷達壓縮感知”、“室内監測雷達”的編輯。Dr. Amin教授在信号處理理論和應用方面擁有超過800份期刊和出版刊物,研究方向涉及無線通信、雷達、聲呐、衛星導航、超聲、醫療,FRID等領域。




Baidu
sogou