AI SoCs for AR/VR User-Interaction

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AR/VR systems require heavy processing for object recognition, voice recognition, hand gesture recognition (HGR), and camera pose estimation with limited battery and computation capability. CMOS Image Sensor (CIS) on AR/VR systems can integrate functions to reduce data transaction and power consumption. 3 Functional CIS and a UI processor are explained; 'Eye-Mouse' with gaze tracking, Event-driven ultra-low-power face detection, video-based human action recognition, and CNN-based HGR AR/VR application processors are also explained with their architecture and featured functions. In the future of AR/VR user interaction, SoC will utilize more DNN functional blocks for 3D Point Neural Network and fusion of more sensors for better accuracy, lower power consumption, and easy implementation.
Publisher
IEEE
Issue Date
2021-12-11
Language
English
Citation

2021 IEEE International Electron Devices Meeting (IEDM)

ISSN
2380-9248
DOI
10.1109/iedm19574.2021.9720630
URI
http://hdl.handle.net/10203/312308
Appears in Collection
EE-Conference Papers(학술회의논문)
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