Kavli Affiliate: Cheng Peng
| First 5 Authors: Jakob Engel, Kiran Somasundaram, Michael Goesele, Albert Sun, Alexander Gamino
| Summary:
Egocentric, multi-modal data as available on future augmented reality (AR)
devices provides unique challenges and opportunities for machine perception.
These future devices will need to be all-day wearable in a socially acceptable
form-factor to support always available, context-aware and personalized AI
applications. Our team at Meta Reality Labs Research built the Aria device, an
egocentric, multi-modal data recording and streaming device with the goal to
foster and accelerate research in this area. In this paper, we describe the
Aria device hardware including its sensor configuration and the corresponding
software tools that enable recording and processing of such data.
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