TY - GEN
T1 - Fast and Accurate Smartglass Angles Inference Based on Periodic Behavior in Walking
AU - Sato, Dai
AU - Togawa, Nozomu
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by JST CREST Grant Number JPMJCR19K4, Japan.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Smartglasses are expected to be applied to various consumer applications, such as pedestrian navigation systems, games, and business support applications. In such applications and systems, it is important to infer the smartglass angles while the user is in motion, especially when the user is walking, in order to understand the user's current state and motion. In this paper, we propose a method for inferring the smartglass angles while the user is walking. The proposed method focuses on the periodic behavior during the user's walking and effectively identifies the vertical downward direction of the smartglass. Then it infers the smartglass angles, i.e., which direction the smartglass heads to, fast and accurately. Through the experimental evaluations, the inference accuracy of the proposed method is almost the same as the baseline method, which is known as accurate enough, and the time required for convergence is reduced to 42.1% for the roll angle inference during walking, and 54.4% for the pitch angle inference during walking.
AB - Smartglasses are expected to be applied to various consumer applications, such as pedestrian navigation systems, games, and business support applications. In such applications and systems, it is important to infer the smartglass angles while the user is in motion, especially when the user is walking, in order to understand the user's current state and motion. In this paper, we propose a method for inferring the smartglass angles while the user is walking. The proposed method focuses on the periodic behavior during the user's walking and effectively identifies the vertical downward direction of the smartglass. Then it infers the smartglass angles, i.e., which direction the smartglass heads to, fast and accurately. Through the experimental evaluations, the inference accuracy of the proposed method is almost the same as the baseline method, which is known as accurate enough, and the time required for convergence is reduced to 42.1% for the roll angle inference during walking, and 54.4% for the pitch angle inference during walking.
KW - head mounted display
KW - pitch angle
KW - roll angle
KW - smartglass
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U2 - 10.1109/ICCE56470.2023.10043532
DO - 10.1109/ICCE56470.2023.10043532
M3 - Conference contribution
AN - SCOPUS:85149137523
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Y2 - 6 January 2023 through 8 January 2023
ER -