BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230712T175214Z
LOCATION:3001\, 3rd Floor
DTSTART;TZID=America/Los_Angeles:20230712T143000
DTEND;TZID=America/Los_Angeles:20230712T150000
UID:dac_DAC 2023_sess224_SPSSN124@linklings.com
SUMMARY:Cross-Layer Innovations for Enabling Real-Time and Efficient Eye T
 racking in VR/AR
DESCRIPTION:Special Session (Research)\n\nYingyan (Celine) Lin (Georgia In
 stitute of Technology)\n\nEye tracking has become an essential human-machi
 ne interaction modality for providing an immersive experience in numerous 
 virtual and augmented reality (VR/AR) applications requiring high throughp
 ut (e.g., 240 FPS), a small form factor, and enhanced visual privacy. Desp
 ite the growing demand for such eye tracking systems, prior arts are still
  limited in their achievable throughput (e.g., still <30 FPS) and thus can
 not fully satisfy the desired real time performance requirements, e.g., >2
 40 FPS for supporting frequent and essential human-machine interaction on 
 mobile AR/VR devices with limited computing resources. In this talk, I wil
 l present a first-of-its-kind intelligent eye-tracking system, dubbed i-Fl
 atCam, integrating a lensless camera of a much smaller form factor and an 
 eye-tracking acceleration chip. In particular, i-FlatCam features (1) a pr
 edict-then-focus eye tracking pipeline to boost efficiency without comprom
 ising accuracy, (2) a unified compression scheme to enable fully on-chip p
 rocessing and improved FPS, and (3) a dedicated intra-channel reuse design
  for depth-wise convolutional layers to increase hardware utilization. As 
 a highlight, i-FlatCam demonstrates the first eye-tracking pipeline with a
  lensless camera and achieves 3.16 degrees of award-winning accuracy, 253 
 FPS, 91.5 µJ/Frame, and a 6.7mm×8.9mm×1.2mm camera form factor, paving the
  way for next-generation AR/VR devices. Our i-FlatCam system won first pla
 ce in the University Demo Best Demonstration at DAC 2022. Finally, I will 
 conclude my talk by briefly introducing a more general eye-tracking system
  for AR/VR, which was recently selected as an IEEE Micro Top Pick of 2023.
 \n\nTopic: AI\n\nSession Chair: Mimi Xie (The University of Texas at San A
 ntonio)
END:VEVENT
END:VCALENDAR