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DTSTAMP:20240617T143539Z
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DTSTART;TZID=America/New_York:20240612T140000
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DESCRIPTION:By sensing various life activities with microwave signals\, por
 table radar with state-of-the-art front-end and measurement algorithms has
  great potential to improve healthcare\, security\, and human-machine inte
 rface. This presentation will first provide an overview of the state-of-th
 e-art smart radar sensors powered by advanced digital/RF beamforming\, mul
 tiple-input and multiple-output (MIMO)\, inverse synthetic-aperture radar 
 (ISAR) technique\, and deep learning. A few examples based on interferomet
 ry\, Doppler\, frequency-shift keying (FSK)\, and frequency-modulated cont
 inuous-wave (FMCW) modes at 5.8 GHz\, 24 GHz\, and 120 GHz will be discuss
 ed. In addition\, the use of nonlinear technologies will be reported\, wit
 h a focus on in-band third-order intermodulation measurement for enhanced 
 target identification and parameter extraction. Case studies at this excit
 ing human-microwave frontier will be presented on physiological signal sen
 sing\, non-contact human-computer interface\, driving behavior recognition
 \, human tracking\, and studies in clinical environments. Finally\, this t
 alk will conclude with future industrial and academic R&D outlooks for mic
 rowave short-range life activities sensing.\n\nSpeaker(s): Prof. Changzhi 
 Li \, \n\nRoom: M-1510\, Bldg: Pavillon Lassonde\, M-1510\, 2500 Chem. de 
 Polytechnique\, Montréal\, Quebec\, Canada\, H3T 1J4
LOCATION:Room: M-1510\, Bldg: Pavillon Lassonde\, M-1510\, 2500 Chem. de Po
 lytechnique\, Montréal\, Quebec\, Canada\, H3T 1J4
ORGANIZER:elham.baladi@polymtl.ca
SEQUENCE:19
SUMMARY:Portable Radar Systems at the Human-Microwave Frontier: Life Activi
 ty Sensing and Human Tracking
URL;VALUE=URI:https://events.vtools.ieee.org/m/422922
X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi
 fy\; text-justify: inter-ideograph\; line-height: normal\;"><span lang="EN
 -US" style="font-size: 12.0pt\; mso-ascii-font-family: Calibri\; mso-farea
 st-font-family: SimSun\; mso-hansi-font-family: Calibri\; mso-bidi-font-fa
 mily: 'Times New Roman'\;">By sensing various life activities with microwa
 ve signals\, portable radar with state-of-the-art front-end and measuremen
 t algorithms has great potential to improve healthcare\, security\, and hu
 man-machine interface. This presentation will first provide an overview of
  the state-of-the-art smart radar sensors powered by advanced digital/RF b
 eamforming\, multiple-input and multiple-output (MIMO)\, inverse synthetic
 -aperture radar (ISAR) technique\, and deep learning. A few examples based
  on interferometry\, Doppler\, frequency-shift keying (FSK)\, and frequenc
 y-modulated continuous-wave (FMCW) modes at 5.8 GHz\, 24 GHz\, and 120 GHz
  will be discussed. </span><span lang="EN-US" style="font-size: 12.0pt\;">
 In addition\, the use of nonlinear technologies will be reported\, with a 
 focus on in-band third-order intermodulation measurement for enhanced targ
 et identification and parameter extraction. Case studies at this exciting 
 human-microwave frontier will be presented on physiological signal sensing
 \, non-contact human-computer interface\, driving behavior recognition\, h
 uman tracking\, and studies in clinical environments. Finally\, this talk 
 will conclude with future industrial and academic R&amp\;D outlooks for mi
 crowave short-range life activities sensing.</span><span lang="EN-US"><spa
 n style="mso-spacerun: yes\;">&nbsp\; </span></span></p>
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