Advanced Signal Processing and Machine Learning for BLE-based Indoor Localization

The Internet of Things (IoT) is a new emerging paradigm and is rapidly gaining ground in different applications of significant engineering importance including but not limited to smart buildings, and smart public environments. The main enabling factor of this promising paradigm is integration of identification, localization, and navigation technologies with smart hand-held devices equipped with sensing, processing, and communication capabilities. Stringent accuracy requirements along with lower cost, energy efficiency, and high security standards make indoor localization a challenging problem, which in turn calls for in-depth research on alternative and innovative multi-sensor solutions. In particular, the main objective of this research program is development of advanced signal processing and machine learning solutions to micro-locate and track a person within a delimited physical space (e.g. building) using the industrial partners Smart Bluetooth locating infrastructure installed within this space.

Faculty Supervisor:

Arash Mohammadi

Student:

Parvin Malekzadeh

Partner:

dormakaba Canada Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program: