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RF-Based Localization For People Sensing: approaches and comparisons
PhD Qualifying Examination Title: "RF-Based Localization For People Sensing: approaches and comparisons" by Mr. Jiajie TAN Abstract: With the penetration of Internet of things (IoT) and advances in smart sensing technologies, there has been increasing interest in people sensing. Localization, as an important concern, acts as the cornerstone of many people-sensing applications such as crowd monitoring and elderly care. Among various techniques, the RF-based approach has emerged as the promising one because of its relatively large sensing range, high penetration, flexible deployment, low cost, etc. In this survey, we review over classical and recent RF-based localization techniques for people sensing applications. We consider using pre-installed sensors to monitor signals for location determination. Particularly, schemes can be categorized into two directions: device-based and device-free based on whether RF-enabled devices are attached to subjects. The device-based category assumes target people to carry beaconing devices like mobile phones. Locations are determined according to the measurement on the signals sent from attached devices. Techniques based on distance, bearing and fingerprinting are widely used to tackle the problem. While in the device-free case, there is no attached device required on the subjects. Instead, the influence of appearing people on signal links is considered for localization and tracking. This survey reviews both fundamentals and recent advances for each category. We also study and compare their strengths and weaknesses under practical deployment. Our survey can serve as an educating study for new researchers into people-sensing application as well as RF-based localization. Date: Friday, 3 August 2018 Time: 10:00am - 12:00noon Venue: Room 3494 Lifts 25/26 Committee Members: Prof. Gary Chan (Supervisor) Prof. James Kwok (Chairperson) Prof. Andrew Horner Dr. Xiaojuan Ma **** ALL are Welcome ****