The interactive museum tour-guide robot
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
WLAN Location Determination via Clustering and Probability Distributions
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Tracking Humans from a Moving Platform
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Coarse, Inexpensive, Infrared Tracking for Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Directional Beaconing: A Robust WiFi Positioning Method Using Angle-of-Emission Information
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
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The Network-Centric Applied Research Team (N-CART) is continuing its work on an ambitious project known as the Network-Enabled Powered Wheelchair Adaptor Kit (NEPWAK) [25]. It introduces techniques for modifying and using powered wheelchairs as mobile platforms enabling communication and remote control. The wheelchair runs a PC104 based embedded server allowing both PC and PocketPC clients to connect in either infrastructure or ad-hoc mode. The clients receive audio, video and other sensory feedback from the wheelchair and can send control data for maneuvering the wheelchair. In this paper we present our preliminary work on a novel, inexpensive and coarse 'Human Tracking and Following' system for NEPWAK. Our approach uses a custom built highly directional steerable Wi-Fi antenna on the wheelchair that scans the Wi-Fi signal strength of its peer. This can be used to track and follow a person carrying a Wi-Fi enabled pocketPC.