TY - GEN
T1 - A Sub-Milliwatt and Sub-Millisecond 3-D Gaze Estimator for Ultra Low-Power AR Applications
AU - Moon, Sungmin
AU - Zhang, Chao
AU - Park, Sooill
AU - Zhang, Hui
AU - Kim, Woo Shik
AU - Ko, Jong Hwan
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/9/24
Y1 - 2021/9/24
N2 - The critical factors of real-Time gaze tracking are high accuracy and user-friendliness such as low latency and no run-Time calibration. Existing gaze estimator hardware designs are based on 2D regression algorithms as 2D methods have a simple computation process. However, they require multiple run-Time calibration steps, and are vulnerable to head motions. On the other hand, the 3D model-based method can maintain better accuracy than the 2D method without run-Time calibration steps, and is robust to head motions. In this paper, we aim to design the first 3D model-based gaze estimator hardware that consumes less than 1mW power and 1ms latency per frame. The simulation results based on the hardware synthesis show that the proposed design requires 172μW and 0.5ms per frame, while maintaining less than 0.9° error.
AB - The critical factors of real-Time gaze tracking are high accuracy and user-friendliness such as low latency and no run-Time calibration. Existing gaze estimator hardware designs are based on 2D regression algorithms as 2D methods have a simple computation process. However, they require multiple run-Time calibration steps, and are vulnerable to head motions. On the other hand, the 3D model-based method can maintain better accuracy than the 2D method without run-Time calibration steps, and is robust to head motions. In this paper, we aim to design the first 3D model-based gaze estimator hardware that consumes less than 1mW power and 1ms latency per frame. The simulation results based on the hardware synthesis show that the proposed design requires 172μW and 0.5ms per frame, while maintaining less than 0.9° error.
KW - Gaze Tracker;Gaze Vector Estimation;Smart Glasses;ASIC
UR - https://www.scopus.com/pages/publications/85115950725
U2 - 10.1145/3460418.3479360
DO - 10.1145/3460418.3479360
M3 - Conference contribution
AN - SCOPUS:85115950725
T3 - UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
SP - 481
EP - 485
BT - UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
T2 - 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
Y2 - 21 September 2021 through 25 September 2021
ER -