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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20201101T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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BEGIN:VEVENT
DTSTAMP:20210204T232629Z
UID:B1D62287-6546-418B-83D4-E415A55A3927
DTSTART;TZID=Canada/Eastern:20210204T160000
DTEND;TZID=Canada/Eastern:20210204T170000
DESCRIPTION:The past decade has witnessed the surge of interest in daily ac
 tivity monitoring. Human-centered sensing attempts to have a comprehensive
  assessment of people’s living habits and health condition. Several appl
 ications could benefit from the advanced human sensing systems including e
 lder caring in smart hospitals and homes. In this talk\, I will focus on n
 ecessity of human-centered sensing and more specifically on the use of rem
 ote sensing in health care to monitor the elderly’s living alone or in n
 ursing houses for fall incident detection.\n\nSpeaker(s): Dr. Hamidreza Sa
 dreazami\, \n\nOttawa\, Ontario\, Canada\, Virtual: https://events.vtools.
 ieee.org/m/257977
LOCATION:Ottawa\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or
 g/m/257977
ORGANIZER:m.abdelazez.ca@ieee.org
SEQUENCE:5
SUMMARY:IEEE Ottawa EMBS - Pervasive Healthcare Through Human-Centered Sens
 ing
URL;VALUE=URI:https://events.vtools.ieee.org/m/257977
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The past decade has witnessed the surge of
  interest in daily activity monitoring. Human-centered sensing attempts to
  have a comprehensive assessment of people&amp;rsquo\;s living habits and heal
 th condition. Several applications could benefit from the advanced human s
 ensing systems including elder caring in smart hospitals and homes. In thi
 s talk\, I will focus on necessity of human-centered sensing and more spec
 ifically on the use of remote sensing in health care to monitor the elderl
 y&amp;rsquo\;s living alone or in nursing houses for fall incident detection.&lt;
 /p&gt;
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