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DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_255@linklings.com
SUMMARY:Force-Aware Interface via Electromyography for Natural VR/AR Inter
 action
DESCRIPTION:Technical Papers\n\nForce-Aware Interface via Electromyography
  for Natural VR/AR Interaction\n\nZhang, Liang, Chen, Torrens, Atashzar...
 \n\nWhile tremendous advances in visual and auditory realism have been mad
 e for virtual and augmented reality (VR/AR), introducing a plausible sense
  of physicality into the virtual world remains challenging. Closing the ga
 p between real-world physicality and immersive virtual experience requires
  a closed interaction loop: applying user-exerted physical forces to the v
 irtual environment and generating haptic sensations back to the users. How
 ever, existing VR/AR solutions either completely ignore the force inputs f
 rom the users or rely on obtrusive sensing devices that compromise user ex
 perience.\n\nBy identifying users' muscle activation patterns while engagi
 ng in VR/AR, we design a learning-based neural interface for natural and i
 ntuitive force inputs. Specifically, we show that lightweight electromyogr
 aphy sensors, resting non-invasively on users' forearm skin, inform and es
 tablish a robust understanding of their complex hand activities. Fuelled b
 y a neural-network-based model, our interface can decode finger-wise force
 s in real-time with 3.3% mean error, and generalize to new users with litt
 le calibration. Through an interactive psychophysical study, we show that 
 human perception of virtual objects' physical properties, such as stiffnes
 s, can be significantly enhanced by our interface. We further demonstrate 
 that our interface enables ubiquitous control via finger tapping. Ultimate
 ly, we envision our findings to push forward research towards more realist
 ic physicality in future VR/AR.\n\nRegistration Category: FULL ACCESS, EXP
 ERIENCE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLI
 SH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_255&sess=sess15
 3
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