Abstract: The positioning accuracy, stability and availability of the Global
Positioning System (GPS) are not good enough for providing pedestrian-level
Location-Based Services (LBS).  In this talk, Inertial Measurement Units
(IMU) that can be found in most smart phones are used to develop a
stride-based Pedestrian Tracking System (PTS).  The PTS is composed of three
modules including a Stepping Module that detects the occurrence of stepping
with high precision, a Stride Module that estimates the stride length of
each step, and a Direction Module that calculates the direction of each
step.  Hence, a pedestrian trajectory can be known by traversing the
stepping displacement vectors.  The proposed PTS can be integrated with GPS
or other positioning systems, such as an RF-based positioning system, by the
Kalman filter to provide high precision pedestrian position and direction
information.  We further develop a prototype of Pedestrian Navigation
Systems (PNS) by integrating navigation functionality into the proposed PTS.
The proposed solution can be easily integrated into smart phones or Personal
Digital Assistants and is feasible for both indoor and outdoor applications.

Short bio: Chih-Wei Yi currently is an Associate Professor in the Department
of Computer Science, National Chiao Tung University. He received his B.S. in
Mathematics and M.S. in Computer Science and Information Engineering from
National Taiwan University in 1991 and 1993, respectively, and Ph.D. in
Computer Science from Illinois Institute of Technology in May 2005. He was
named Outstanding Young Engineer by Chinese Institute of Engineers, Taiwan,
2009. Recently, he received the Young Scholar Best Paper Award from IEEE
IT/COMSOC Taipei/Tainan Chapter, 2010. His research interests include
wireless ad hoc and sensor networks, network coding, intelligent
transportation systems, sensor-aided personal navigation systems, and P2P
video streaming systems.