TY - GEN
T1 - Indoor Positioning Using BLE Beacons for Care History Collection
AU - Nagai, Tatsumi
AU - Ueda, Kiyoshi
AU - Miyoshi, Takumi
AU - Yamazaki, Taku
AU - Yamamoto, Ryo
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by JSPS Grant-in-Aid for Scientific Research JP21K11875.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In order to reduce the positioning errors that occur in BLE beacons positioning and improve the accuracy of indoor positioning to a level that can be used to collect nursing care history, we proposed two methods: one is to use the average of the coordinates calculated by multiple 3-points sets as the final estimated coordinates, and the other is to use only the RSSI from nearby BLE beacons to create fingerprints for position estimation. We implemented the 'receiver' software in JavaScript for RSSI observation from the BLE beacons. We conducted an evaluation experiment of the proposed method using the RSSI excluding outliers by k-NN, and confirmed that the accuracy of the proposed method is higher than that of the conventional method and that it achieves the target accuracy. We proposed a method of position estimation using fingerprint with real-Time RSSI observed at a fixed point, and confirmed that it exceeded the target accuracy and reached a higher accuracy.
AB - In order to reduce the positioning errors that occur in BLE beacons positioning and improve the accuracy of indoor positioning to a level that can be used to collect nursing care history, we proposed two methods: one is to use the average of the coordinates calculated by multiple 3-points sets as the final estimated coordinates, and the other is to use only the RSSI from nearby BLE beacons to create fingerprints for position estimation. We implemented the 'receiver' software in JavaScript for RSSI observation from the BLE beacons. We conducted an evaluation experiment of the proposed method using the RSSI excluding outliers by k-NN, and confirmed that the accuracy of the proposed method is higher than that of the conventional method and that it achieves the target accuracy. We proposed a method of position estimation using fingerprint with real-Time RSSI observed at a fixed point, and confirmed that it exceeded the target accuracy and reached a higher accuracy.
KW - BLE beacons
KW - Care history collection
KW - fingerprint
KW - indoor positioning
UR - http://www.scopus.com/inward/record.url?scp=85132146504&partnerID=8YFLogxK
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U2 - 10.1109/ICIET55102.2022.9779040
DO - 10.1109/ICIET55102.2022.9779040
M3 - Conference contribution
AN - SCOPUS:85132146504
T3 - 2022 10th International Conference on Information and Education Technology, ICIET 2022
SP - 420
EP - 424
BT - 2022 10th International Conference on Information and Education Technology, ICIET 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Information and Education Technology, ICIET 2022
Y2 - 9 April 2022 through 11 April 2022
ER -