Center for Project-Based Learning D-ITETOpen OpportunitiesHuman Pose Estimation (HPE) is a task that focuses on identifying the position of a human body in a specific scene. Most of the HPE methods are based on recording an RGB image with the optical sensor to detect body parts and the overall pose. This can be used in conjunction with other sensing technologies, such as accelerometers and gyroscopes, for fitness and rehabilitation, augmented reality applications, and surveillance. - Digital Systems, Electrical and Electronic Engineering, Interdisciplinary Engineering
- Master Thesis, Semester Project
| The purpose of this project is to develop a magnetic resonance (MR)-compatible photoplethysmograph (PPG) system which could measure the raw PPG signal during MR image acquisition. The system consists of an optic sensor which measured the optic signal, a fiber optic cable which transmitted a near-infrared optic signal, a signal amplifier, and a filter for noise removal. - Integrated Circuits, Programming Languages, Software Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products. - Biomechanical Engineering, Clinical Engineering, Integrated Circuits
- Bachelor Thesis, Master Thesis, Semester Project
| In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products. - Biomechanical Engineering, Clinical Engineering, Integrated Circuits
- Bachelor Thesis, Master Thesis, Semester Project
| This project focuses on the Unmanned Autonomous Vehicle class, characterized by a few centimeters in diameter, tens of grams in weight, and a few Watts total power consumption. In this field, Crazyflie (https://www.bitcraze.io/) is one of the best commercial products, providing a versatile quadcopter for research and education. - Electrical Engineering, Intelligent Robotics
- Bachelor Thesis, Master Thesis, Semester Project
| Do you want to develop your skills while helping to solve the climate change problem? Are you willing to work on cutting edge technology with multidisciplinary experts in an international context and test the outputs of your labor on the field (on one of the world’s largest wind tunnel or a wind turbine)? Look no further, MISTERY is the right project for you. From novel sensors to machine learning on the edge, including ultra-low power IoT systems, MISTERY packs all the essential tools for becoming an embedded system expert. - Electrical and Electronic Engineering, Environmental Technologies
- Bachelor Thesis, Master Thesis, Semester Project
| Do you want to develop your skills while helping to solve the climate change problem? Are you willing to work on cutting edge technology with multidisciplinary experts in an international context and test the outputs of your labor on the field (on one of the world’s largest wind tunnel or a wind turbine)? Look no further, MISTERY is the right project for you. From novel sensors to machine learning on the edge, including ultra-low power IoT systems, MISTERY packs all the essential tools for becoming an embedded system expert. - Digital Systems, Environmental Technologies, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Signal Processing, Simulation and Modelling
- Bachelor Thesis, Master Thesis, Semester Project
| Do you want to develop your skills while helping to solve the climate change problem? Are you willing to work on cutting edge technology with multidisciplinary experts in an international context and test the outputs of your labor on the field (on one of the world’s largest wind tunnel or a wind turbine)? Look no further, MISTERY is the right project for you. From novel sensors to machine learning on the edge, including ultra-low power IoT systems, MISTERY packs all the essential tools for becoming an embedded system expert. - Electrical and Electronic Engineering, Logic Design
- Bachelor Thesis, Master Thesis, Semester Project
| The main goal of this work is to develop a modular system for the characterization and tuning of ultrasonic transducers both in hard- and software
Due to the intended modularity of the system in soft- and hardware, we can guarantee a high flexibility of the setup. This means that the system can be adapted in operation for a wide variety of transducer types and setups. - Electrical Engineering
- Bachelor Thesis, Semester Project
| Ultrasound is a key technology in healthcare, and it is being explored for other non-medical tasks, like non-invasive, wearable, continuous monitoring of vital signs and gesture recognition. However, its widespread adoption in this scenario is still hindered by the size, complexity, and power consumption of current devices. Moreover, new flexible transducer technology assures good human conformability but raises new challenges in signal conditioning and acquisition.
In this work, we develop a fully integrated solution to be housed in a smartwatch to continuously monitor vital signs and perform neural network inference at the edge for gesture recognition. You will be tasked with a challenging high-frequency mixed-signal HDI PCB design and the development of an ultra-low power firmware to power the next generation of wearable ultrasound devices. - Electrical Engineering
- Master Thesis
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