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Autonomous Smart Watches: Hardware and Software Desing

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Short Description

Wearable technology is gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. Moreover In this project the students can deal with design, implementation and in-field evaluation of a novel sensor-rich smart bracelet powered by energy harvesting. The main goal is to achieve self-sustainability using solar cells with only modest indoor light levels and/or thermoelectric generators (TEG’s) with small temperature gradients from the body heat. The wearable device is equipped with an ultra-low power camera and a microphone, in addition to accelerometer and temperature sensors commonly used in commercial devices.

There are many open project in this area in differ hardware and software, or combination of both domain. The main goal of the project is to design a new generation of wearable devices to using machine learning algorithms. The candidate will work with a micro-controllers, sensors, wireless communication at firmware level as well as data analysis tools and training tools on the PC. The hardware parts can include also a redesign and optimization of the wearable boards to build an improved version with different sensors/components. The hardware and software load of the thesis will be balanced according with the skills and preferences of the candidate students when the details task description will be provided before the student project will start. In field measurements of the system will be performed from the students as important activity in order to evaluate power consumption, reliability, functionality, classification accuracy and energy efficiency and to further optimize the system.

Status: Available

  • Looking for Semester Project Students
Supervisors: Michele Magno


C Language
Interest in Computer Architectures at system level
PC or Smart-phone programming
Knowledge of machine learning would be beneficial (i.e. semester project or exam done in Wearable system I)


30% Theory
50% Implementation
20% Testing


Luca Benini

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Detailed Task Description


Practical Details