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SUMMARY:In-ear Intelligence - From Sensing To Deployment - Dong Ma\, Singa
 pore Management University
DTSTART:20241129T150000Z
DTEND:20241129T160000Z
UID:TALK224521@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:Wireless earbuds have recently emerged as a new platform for w
 earable-based human sensing. Positioned advantageously at the human ear an
 d equipped with unique sensors such as in-ear microphones\, earbuds offer 
 the capability to monitor a variety of human-related parameters. In this t
 alk\, I will share our recent progress in using in-ear microphones for hum
 an sensing applications\, including gesture/activity recognition\, user au
 thentication\, physiological monitoring\, and speech enhancement. These se
 nsing applications typically gain performance improvement with deep learni
 ng. However\, earbuds are known with limited onboard resources in terms of
  memory\, computation\, and energy. Therefore\, I will also discuss our re
 cent work on enabling accurate and affordable deep learning on earbud-scal
 e embedded devices.\n\nBio: Dr. Dong Ma is currently an Assistant Professo
 r at Singapore Management University. He earned his PhD from the Universit
 y of New South Wales\, Australia\, in 2019\, followed by a postdoctoral fe
 llowship at the University of Cambridge until 2021. His research interests
  focus on wearable computing systems\, including human-machine interaction
 \, physiological monitoring\, and embedded machine learning. He has served
  as the program committee member in top venues in mobile systems including
  MobiCom\, MobiSys\, PerCom\, and associate editor for IMWUT.\n 
LOCATION:SS03 and Virtual
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