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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Exhibit Hall F
DTSTART;TZID=America/Denver:20240728T133000
DTEND;TZID=America/Denver:20240728T170000
UID:siggraph_SIGGRAPH 2024_sess213_gensub_310@linklings.com
SUMMARY:Breaking the Low Sample Rate Equals Low Power Paradigm Using an Ev
 ent Based Vision Approach for Hand Tracking in AR
DESCRIPTION:Ryan Page, Paolo Baesso, Rory Clark, and Greg Baker (Ultraleap
 )\n\nThis demo from Ultraleap presents the first hand tracking pipeline us
 ing event cameras on an AR headset. Motivated by event cameras' ability to
  break the frame imaging paradigm of low power equates to low sample rate 
 moves us closer to low power spatial computing in the glasses form factor.
 \n\nInterest Area: New Technologies\n\nKeyword: Computer Vision, Hardware,
  Interaction, Machine Learning, Real-Time, Tracking, VR/AR/MR\n\nRegistrat
 ion Category: Full Conference, Full Conference Supporter, Experience, Exhi
 bitor Full Conference, Exhibitor Experience\n\n
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