TY - GEN
T1 - TUM
T2 - 2017 IEEE Conference on Computer Communications, INFOCOM 2017
AU - Xu, Han
AU - Yang, Zheng
AU - Zhou, Zimu
AU - Yi, Ke
AU - Peng, Chunyi
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2017/10/2
Y1 - 2017/10/2
N2 - Cross-device interaction is becoming an increasingly hot topic as we often have multiple devices at our immediate disposal in this era of mobile computing. Various cross-device applications such as file sharing, multi-screen display, and cross-device authentication have been proposed and investigated. However, one of the most fundamental enablers remains unsolved: How to achieve ubiquitous multi-device localization? Though pioneer efforts have resorted to gesture-assisted or sensing-assisted localization, they either require extensive user participation or impose some strong assumptions on device sensing abilities. This introduces extra costs and constraints, and thus degrades their practicality. To overcome these limitations, we propose TUM, an acoustic-assisted localization scheme Towards Ubiquitous Multi-device localization. The basic idea of TUM is to utilize the dual-microphones and speakers to obtain distance cues among devices. At the same time it resolves the location ambiguity with the help of MEMS sensors. We devise techniques for distance constraint extraction, static localization, continuous localization, and multi-device localization, and build a prototype that runs on commodity devices. Extensive experiments show that TUM provides a real-time 3D relative localization service under 10cm mean error for both static and continuous localization. © 2017 IEEE.
AB - Cross-device interaction is becoming an increasingly hot topic as we often have multiple devices at our immediate disposal in this era of mobile computing. Various cross-device applications such as file sharing, multi-screen display, and cross-device authentication have been proposed and investigated. However, one of the most fundamental enablers remains unsolved: How to achieve ubiquitous multi-device localization? Though pioneer efforts have resorted to gesture-assisted or sensing-assisted localization, they either require extensive user participation or impose some strong assumptions on device sensing abilities. This introduces extra costs and constraints, and thus degrades their practicality. To overcome these limitations, we propose TUM, an acoustic-assisted localization scheme Towards Ubiquitous Multi-device localization. The basic idea of TUM is to utilize the dual-microphones and speakers to obtain distance cues among devices. At the same time it resolves the location ambiguity with the help of MEMS sensors. We devise techniques for distance constraint extraction, static localization, continuous localization, and multi-device localization, and build a prototype that runs on commodity devices. Extensive experiments show that TUM provides a real-time 3D relative localization service under 10cm mean error for both static and continuous localization. © 2017 IEEE.
UR - http://www.scopus.com/inward/record.url?scp=85034108855&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85034108855&origin=recordpage
U2 - 10.1109/INFOCOM.2017.8057102
DO - 10.1109/INFOCOM.2017.8057102
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781509053360
T3 - Proceedings - IEEE INFOCOM
BT - INFOCOM 2017 - IEEE Conference on Computer Communications
PB - IEEE
Y2 - 1 May 2017 through 4 May 2017
ER -