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Smart e-glasses for concealed recording of EEG signals

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Revision as of 12:04, 18 January 2022 by Cosandre (talk | contribs) (Status: Available)
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Short Description

Electroencephalography (EEG) is a commonly used clinical tool to analyze brain activity. Applications of EEG span from the development of brain-computer interfaces (BCI), to the monitoring and detection of epileptic seizures. The golden standard is represented by scalp-EEG systems, consisting of caps equipped with multiple electrodes positioned on the scalp. However, these systems are cumbersome and make the users uncomfortable because of perceived stigmatization. Thus, both patients and caregivers would benefit from the availability of wearable long-term EEG monitoring devices. One possible approach is to place a reduced number of electrodes in minimally intrusive devices, such as glasses [Sopic et al., ISCAS, 2018]. The project will build an ultra-low power wearable platform for EEG and EMG signals recording and processing.

Goal & Tasks

The goal of this project is to develop a novel smart-glasses prototype for the recording of EEG signals in an unobtrusive and concealed way. The students will first develop a headband to understand the optimal positioning of electrodes. Different electrodes will be tested, and a Bluetooth low energy platform will be used as acquisition platform, transmitting raw EEG data to a host-PC via Bluetooth. Next, based on the outcomes of this first phase, the actual prototype of smart glasses will be developed: the size of the glasses will be defined, the final board will be re-designed to fit in the glasses’ frame, and the mechanical structure will be designed. Finally, the new PCB will be embedded in the glasses, and characterization experiments will be performed to demonstrate the functionality.

The main tasks of this project are:

  • Literature study of EEG
  • Testing of sensors and interfaces for optimal positioning
  • PCB design of a form-factored board, embeddable in eyeglasses stems
  • Firmware development for EEG data acquisition and processing
  • Mechanical prototype design and sensor integration


  • basics of embedded C
  • basics of PCB design


  • [1] Sopic et al., ISCAS, 2018

Status: Available

Looking for Semester and Bachelor Students, the project can also be implemented in a collaborative way between multiple Bachelor students
Supervision: Andrea Cossettini, Simone Benatti, Michele Magno


10% Literature Study
25% System assembly design
25% embedded system programming
25% PCB design
15% experiments and characterization


Luca Benini

Practical Details

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