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The use of indoor location-aware applications such as augmented reality, social networking, health care monitoring, asset tracking, and inventory control is on the rise. However, accurately locating Wi-Fi based devices within buildings can be a challenge, particularly in areas where GPS signals are unavailable. This research project focuses on finding ways to locate indoor devices with high precision using Wi-Fi signal patterns and strength, combined with GPS markers gathered from other devices. By analyzing a large dataset of mobile devices, the goal is to identify the most effective techniques for accurately locating Wi-Fi devices in GPS-denied environments
Dehan Kong
SOTI Inc
Computer science
Information and cultural industries; Professional, scientific and technical services
University of Toronto
Accelerate
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