TY - GEN
T1 - MagSerea
T2 - 26th International Conference on Mobile Human-Computer Interaction, MobileHCI 2024
AU - Aiba, Tomoya
AU - Arakawa, Takahiko
AU - Nishigaki, Masakatsu
AU - Mori, Tatsuya
AU - Ohki, Tetsushi
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/9/21
Y1 - 2024/9/21
N2 - In environments where GPS is impractical for indoor positioning, magnetic information has emerged as a promising alternative. This study proposes a novel location fingerprinting method called "MagSerea ((Magnetic Field of Specified aREA))," which utilizes time-series data of three-axis magnetic information obtained by a wearable device attached to the arm when opening a door. Experimental results indicate that the door-opening motion restricts the deviations in the device's position and angle, thereby maintaining high identification accuracy despite aging and changes in user's possessions. These findings suggest that MagSerea demonstrates high identification accuracy in real-world conditions, offering lower installation costs and fewer constraints on reference points compared to existing methods, and thus holds potential for a wide range of applications.
AB - In environments where GPS is impractical for indoor positioning, magnetic information has emerged as a promising alternative. This study proposes a novel location fingerprinting method called "MagSerea ((Magnetic Field of Specified aREA))," which utilizes time-series data of three-axis magnetic information obtained by a wearable device attached to the arm when opening a door. Experimental results indicate that the door-opening motion restricts the deviations in the device's position and angle, thereby maintaining high identification accuracy despite aging and changes in user's possessions. These findings suggest that MagSerea demonstrates high identification accuracy in real-world conditions, offering lower installation costs and fewer constraints on reference points compared to existing methods, and thus holds potential for a wide range of applications.
KW - Indoor localization
KW - Location fingerprinting
KW - Magnetic field
KW - Wearable device
UR - http://www.scopus.com/inward/record.url?scp=85206164185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85206164185&partnerID=8YFLogxK
U2 - 10.1145/3640471.3680238
DO - 10.1145/3640471.3680238
M3 - Conference contribution
AN - SCOPUS:85206164185
T3 - MobileHCI 2024 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction
BT - MobileHCI 2024 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction
PB - Association for Computing Machinery, Inc
Y2 - 30 September 2024 through 3 October 2024
ER -