Fan Jing Meng, Ying Huang, et al.
ICEBE 2007
Context-aware computing is an emerging computing paradigm that can provide new or improved services by exploiting user context information. In this paper, we present a wireless-local-area-network-based (WLAN-based) indoor positioning technology. The wireless device deploys a position-determination model to gather location information from collected WLAN signals. A model-based signal distribution training scheme is proposed to trade off the accuracy of signal distribution and training workload. A tracking-assistant positioning algorithm is presented to employ knowledge of the area topology to assist the procedure of position determination. We have set up a positioning system at the IBM China Research Laboratory. Our experimental results indicate an accuracy of 2 m with a 90% probability for static devices and, for moving (walking) devices, an accuracy of 5 m with a 90% probability. Moreover, the complexity of the training procedure is greatly reduced compared with other positioning algorithms. ©Copyright 2004 by International Business Machines Corporation.
Fan Jing Meng, Ying Huang, et al.
ICEBE 2007
S.M. Sadjadi, S. Chen, et al.
TAPIA 2009
M.J. Slattery, Joan L. Mitchell
IBM J. Res. Dev
Robert G. Farrell, Catalina M. Danis, et al.
RecSys 2012