TY - GEN
T1 - Design and evaluation of a wireless magnetic-based proximity detection platform for indoor applications
AU - Jiang, Xiaofan
AU - Liang, Chieh Jan Mike
AU - Chen, Kaifei
AU - Zhang, Ben
AU - Hsu, Jeff
AU - Liu, Jie
AU - Cao, Bin
AU - Zhao, Feng
PY - 2012
Y1 - 2012
N2 - Many indoor sensing applications leverage knowledge of relative proximity among physical objects and humans, such as the notion of "within arm's reach". In this paper, we quantify this notion using "proximity zone", and propose a methodology that empirically and systematically compare the proximity zones created by various wireless technologies. We find that existing technologies such as 802.15.4, Bluetooth Low Energy (BLE), and RFID fall short on metrics such as boundary sharpness, robustness against interference, and obstacle penetration. We then present the design and evaluation of a wireless proximity detection platform based on magnetic induction - LiveSynergy. LiveSynergy provides sweet spot for indoor applications that require reliable and precise proximity detection. Finally, we present the design and evaluation of an end-to-end system, deployed inside a large food court to offer context-aware and personalized advertisements and diet suggestions at a per-counter granularity.
AB - Many indoor sensing applications leverage knowledge of relative proximity among physical objects and humans, such as the notion of "within arm's reach". In this paper, we quantify this notion using "proximity zone", and propose a methodology that empirically and systematically compare the proximity zones created by various wireless technologies. We find that existing technologies such as 802.15.4, Bluetooth Low Energy (BLE), and RFID fall short on metrics such as boundary sharpness, robustness against interference, and obstacle penetration. We then present the design and evaluation of a wireless proximity detection platform based on magnetic induction - LiveSynergy. LiveSynergy provides sweet spot for indoor applications that require reliable and precise proximity detection. Finally, we present the design and evaluation of an end-to-end system, deployed inside a large food court to offer context-aware and personalized advertisements and diet suggestions at a per-counter granularity.
KW - Localization
KW - Magneto-inductive
KW - Tracking
KW - Virtual zone
UR - https://www.scopus.com/pages/publications/84860526958
U2 - 10.1145/2185677.2185735
DO - 10.1145/2185677.2185735
M3 - 会议稿件
AN - SCOPUS:84860526958
SN - 9781450312271
T3 - IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks
SP - 221
EP - 231
BT - IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks
T2 - 11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12
Y2 - 16 April 2012 through 20 April 2012
ER -