TY - GEN
T1 - An Indoor Positioning Method using Smartphone and Smartwatch Independent of Carrying Modes
AU - Wakaizumi, Tomoya
AU - Togawa, Nozomu
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by JST CREST Grant Number JPMJCR19K4, Japan.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/10
Y1 - 2021/1/10
N2 - A pedestrian dead reckoning method, or PDR method in short, is one of the positioning methods in indoor environments, which estimates user's positions by using sensors such as acceleration and angular velocity sensors. When we consider using a smartphone as a PDR sensor device, it has various carrying modes such as holding it directly and carrying it inside a pocket. How to deal with these various carrying modes is the great concern in PDR using a smartphone. In this paper, we propose a PDR method based on a combination of a smartphone and a smartwatch. By synchronizing smartphone and smartwatch sensors effectively, the proposed method can successfully reduce drift errors and thus estimate accurate user's positions, compared to just using a smartphone. Furthermore, even when the user carries his/her smartphone in various carrying modes, the proposed method still realizes accurate PDR. The experimental results demonstrate that the positioning errors are reduced by approximately 87.5% on average compared to the existing method.
AB - A pedestrian dead reckoning method, or PDR method in short, is one of the positioning methods in indoor environments, which estimates user's positions by using sensors such as acceleration and angular velocity sensors. When we consider using a smartphone as a PDR sensor device, it has various carrying modes such as holding it directly and carrying it inside a pocket. How to deal with these various carrying modes is the great concern in PDR using a smartphone. In this paper, we propose a PDR method based on a combination of a smartphone and a smartwatch. By synchronizing smartphone and smartwatch sensors effectively, the proposed method can successfully reduce drift errors and thus estimate accurate user's positions, compared to just using a smartphone. Furthermore, even when the user carries his/her smartphone in various carrying modes, the proposed method still realizes accurate PDR. The experimental results demonstrate that the positioning errors are reduced by approximately 87.5% on average compared to the existing method.
KW - PDR
KW - carrying mode
KW - indoor positioning
KW - smartphone
KW - smartwatch
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U2 - 10.1109/ICCE50685.2021.9427738
DO - 10.1109/ICCE50685.2021.9427738
M3 - Conference contribution
AN - SCOPUS:85106033528
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2021 IEEE International Conference on Consumer Electronics, ICCE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Consumer Electronics, ICCE 2021
Y2 - 10 January 2021 through 12 January 2021
ER -