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Radio Signal Direction Detection For Smart Glasses For Augmented Reality Applications

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Today Wearable sensing devices are gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. An promising application of smart glasses is the augmented reality. To improve this application information on direction of movement or indo r localization can be useful at many user-applications. The goal of this project is to estimate the direction of arrival of the radio signal of an emitting source (e.g., an iBeacon) to provide user with Augmented Reality information directly on glasses lenses (e.g., the viewed environment is annotated with information coming from emitting objects). To achieve this goal the student will design and implementation of an ultra low power systems comprised by several (minimal 3) receiving Bluetooth low energy modules/antennas to understand the direction of beacon sent by fixed anchors. The project will also focus on develop and test the performance the whole system using commercial RF transceiver and low power microprocessor connected to build the full system. The project will be based on the Wagoo patent and done in collaboration with Wagoo http://www.thewagoo.com/bluetooth-aug-reality.html


Depending on the applicant's profile and project type, his tasks may involve some of the following:

  • lab. testing/characterization of the existing prototype: verification of the prototype's characteristics w.r. design specification (simulations), measuring power-consumption, and assessing detection performance in lab. conditions
  • programming the circuit (microcontrollers) for specific application, field testing.
  • printed circuit-board design to make it suitable for the receiver and sensor part.


Status: Available

  • Looking for Semester and Master Project Students
Supervisors: Michele Magno

Prerequisites

(not all need to be met by the single candidate)

  • experience using the laboratory instrumentation - signal generators, oscilloscopes, DAQ cards, Matlab etc.
  • analog electronics and signal conditioning with operational amplifiers: amplifiers, filters, integrators etc.
  • knowledge of microcontroller programming (C, preferably CC2650 but it is not mandatory)
  • basic knowledge on signal processing is a plus.
  • plus is knowledge on printed circuit board (PCB) using Altium.

Character

30-40% Theory
30-40% Implementation
20-40% Testing

Professor

Luca Benini

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Detailed Task Description

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