current projects
Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)
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.
Keywords
Ultrasound, Flexible transducers, Mixed signal design, Network theory, Simulation
Labels
Semester Project , Bachelor Thesis
Description
Goal
Contact Details
More information
Published since: 2024-04-15
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Villani Federico
Topics Engineering and Technology
Wearable Magnetic Field System For Social Distancing and Pose Reconstruction With Deep Regression
Advanced wearable motion capturing platforms (like Xsense, Optitrack) are emerging fast in recent years to innovate everyday life in entertainment, sports, rehabilitation, etc. However, to address the constraints of the current IMU- and Vision-based motion capturing system, a more robust approach is needed for long-term, in-the-wild motion tracking. From this point, the wearable magnetic field system shows excellent potential benefitting from its resistance to environmental objects and field-form sensing modality.
Labels
Semester Project , Bachelor Thesis , Master Thesis , Machine Learning (PBL) , Wearables (PBL)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2024-04-14 , Earliest start: 2024-05-01 , Latest end: 2025-02-28
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Bian Sizhen
Topics Information, Computing and Communication Sciences
Wearable blood pressure monitoring
Blood Pressure is an essential vital sign that is necessary for monitoring patients in various disease scenarios: hypertension, diabetes, autonomic dysregulation, cardiovascular disease and sepsis, to name a few. Continuous low-power blood pressure monitoring would pave the way for developing algorithms for predicting patient health deterioration. This project aims to develop compact low power, accurate sensing of blood pressure non-invasively using novel sensing paradigms for wearable technologies.
Keywords
non-invasive blood pressure, cuffless, wearable, sensor fusion, low power, on-board processing, smart devices
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2024-04-10
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Engineering and Technology
Electronic epidermal system
Design and development of flexible/ hybrid multisensory patch for vital sign monitoring with a multisensory electronic epidermal system. Flexible, lightweight, body conformal wireless devices with soft form factors that enable measurements with high signal to noise ratio (SNR) continuously over a long duration of use from any location of the body are the need of the hour. This requires development of bio-compatible, high performance materials appropriate for implementation in clinical settings. Body conformal flexible sensors have been used to monitor motion, mechano-acoustic sensing, radial artery pulse waves, biomarkers in sweat and electrocardiography (ECG) signals. The conformal nature of the systems lead to increased adherence to the skin and subsequently render a high fidelity system with high signal to noise ratio.
Keywords
wearable sensing, low power, batteryless, flexible, material engineering, packaging
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2024-04-10
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Engineering and Technology
Personalized algorithms for prediction of sepsis onset
Development and implementation of personalized algorithms for personalized prediction algorithms for the detection of sepsis in different population groups.
Keywords
machine learning, deep learning, sensor fusion, predictive analysis, adverse event prediction, medical decision support, computer science, TinyML
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-04-10
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Information, Computing and Communication Sciences , Engineering and Technology
Smart sensor fusion for sepsis onset identification
Algorithm development for extracting multiple vital signs and developing a sensor fusion model from a few sensor nodes to evaluate the organ functionality of patients at risk of sepsis
Keywords
sensor fusion, algorithms, low power, low complexity, embedded systems, TinyML, on-board processing
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2024-04-10
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Non-Invasive monitoring of the bladder volume for paraplegic population
In patients of spinal chord injury, the urinary condition is particularly complicated because they generally lack control over urinary function and cannot voluntarily discharge the bladder. Depending on the severity of the spinal cord injury, micturition reflexes are often blocked and patients with impaired or destroyed nervous pathways may exhibit bladder-sphincter dyssynergia, which causes functional outlet obstruction. Typically, these patients have no natural desire to urinate. To discharge their bladder, paraplegic patients have to manually activate spinal micturition reflexes or use intermittent catheterization which (on the long- term) can cause injury, infection or kidney damage, in addition to other complication in health. Particularly for this paraplegic population, proper monitoring of the bladder volume is very important. At present, no optimum solution present commercially or in published research that can provide a method for accurate, long term, non-invasive and unobtrusive bladder monitoring. In this project, the student will develop a multi-sensor system based on novel sensors and incorporate state of the art, sensor fusion algorithms to enable non-invasive bladder volume measurements for the paraplegic population
Keywords
wearable, non-invasive, bladder monitoring, clinical study, sensor fusion, smart sensing, low power, low complexity algorithms, rehabilitation
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2024-04-10
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Engineering and Technology
Towards Flexible and Printable Wearables – Analyzing Materials, Fabrication Technologies, and Possible Applications of Printable Electronics
This moonshot project focuses on researching and exploring the potential of flexible and printable electronics, fabrication technologies, and applications in wearables based on the Voltera NOVA printer. Tasks will include ECAD and MCAD design, manufacturing, and prototype testing.
Keywords
flexible electronics, printable electronics, PCB, sensing,
Labels
Energy Harvesting (PBL) , Semester Project , Bachelor Thesis , Master Thesis , PCB Design (PBL) , Biomedical (PBL) , Wearables (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-03-18 , Earliest start: 2024-01-03
Organization Center for Project-Based Learning D-ITET
Hosts Mayer Philipp
Topics Engineering and Technology
Testbed Design for Self-sustainable Sensor Nodes
This project focuses on designing testbeds for self-sustainable IoT sensors, specifically targeting solar and thermal energy harvesting. Tasks will include ECAD and MCAD design, firmware development, and prototype testing.
Keywords
Embedded systems, PCB, firmware, MCAD, energy harvesting
Labels
Energy Harvesting (PBL) , Semester Project , Bachelor Thesis , Master Thesis , Microcontroller (PBL) , PCB Design (PBL) , Software (PBL) , Firmware (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-03-18 , Earliest start: 2024-01-03
Organization Center for Project-Based Learning D-ITET
Hosts Mayer Philipp
Topics Engineering and Technology
Fusion of Event and Optical Flow Camera Data for Visual Inertial Odometry
Visual Inertial Odometry (VIO) describes the process of determining the movement trajectory of a mobile agent (e.g. drone, car, VR headset) from image data recorded by a camera combined with inertial measurements from an IMU. It has been shown that the VIO estimation benefits from additional event camera data. The goal of this project is to implement a fast and energy-efficient fusion strategy for event data and classical camera data on either an FPGA or a System on Chip (GAP 9).
Keywords
Visual Inertial Odometry, System on Chip, Software, Computer Vision, Embedded Systems, Event Camera, Sensor Fusion, FPGA
Labels
Semester Project , Master Thesis , FPGA (PBL) , Microcontroller (PBL) , Software (PBL) , Drones (PBL) , Computer Vision (PBL) , Neuromorphic (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-03-11 , Earliest start: 2023-09-01 , Latest end: 2024-12-31
Applications limited to Department of Information Technology and Electrical Engineering , Department of Computer Science , Department of Mechanical and Process Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Kühne Jonas
Topics Engineering and Technology
Smart Sensor Fusion and TinyML for indoor People Counting using Low-Power Ultrasound Sensors
The project's goal is to create cutting-edge algorithms that use low-power ultrasonic sensors with TinyML for precise presence detection and indoor people counting. Additionally, the study intends to investigate sensor fusion with CO2, VOC, noise, or other data to improve accuracy. The study assesses the practicality of the technology, taking into account the trade-offs between precision, power consumption, and system limitations.
Keywords
Embedded Systems, Low-power Sensing, Signal Processing, Machine Learning, Energy Harvesting, Wireless Communication, Sensor Fusion
Labels
Energy Harvesting (PBL) , Semester Project , Bachelor Thesis , Master Thesis , Microcontroller (PBL) , Software (PBL) , Firmware (PBL) , Machine Learning (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-02-23 , Earliest start: 2024-02-26 , Latest end: 2025-02-28
Applications limited to Department of Computer Science , Department of Information Technology and Electrical Engineering , Department of Mechanical and Process Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Salzmann Tiago
Topics Information, Computing and Communication Sciences , Engineering and Technology
Neuromorphic HW Accelerator for FPGA-based Drones
To enable new applications on drone platforms, novel sensors coupled with with machine learning algorithms are essential. Such sensors are, for example, event-based cameras. They are fast (~kHz speed) and resilient to the environment (e.g. poor lighting conditions). To utilize the full potential of these cameras, neuromorphic computing is needed to process their output. Our FPGA-based drone platform is capable of operating such an event-based camera, and allows for efficient hardware acceleration of the computationally expensive neuromorphic algorithms.
Keywords
Digital design (HDL), Robotics, machine learning
Labels
Master Thesis , FPGA (PBL) , Software (PBL) , Drones (PBL) , Neuromorphic (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-02-20 , Earliest start: 2023-04-24 , Latest end: 2025-10-31
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Vogt Christian
Topics Engineering and Technology
Evaluation Platform for Hardware/Software Co-Design
Design an evaluation platform for hardware/software co-design with focus on low-power systems.
Keywords
Circuit Design, Low Power Electronics, Hardware-Software Co-design
Labels
Semester Project , Bachelor Thesis , FPGA (PBL) , PCB Design (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-02-01 , Earliest start: 2023-04-05 , Latest end: 2025-11-30
Applications limited to ETH Zurich , Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Vogt Christian
Topics Engineering and Technology
Low Power FPGA as Machine Learning Accelerator
Implement and evaluate a given image detection algorithm on a low power FPGA plattform
Keywords
Digital design (HDL), Low Power Electronics, Machine Learning
Labels
Semester Project , Bachelor Thesis , Master Thesis , FPGA (PBL) , Machine Learning (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-02-01 , Earliest start: 2023-04-05 , Latest end: 2025-10-31
Applications limited to ETH Zurich , Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Vogt Christian
Topics Engineering and Technology
Multisensory Fusion for On-the-Fly 3D Scanning of Large Objects with Structured Light 3D Cameras
This project aims to develop a multidisciplinary sensing system for real-time, high-precision 3D scanning of large objects using synchronized 3D cameras and advanced stitching algorithms.
Keywords
Computer Vision, 3D Scanning, Point Cloud Stitching
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2024-01-25 , Earliest start: 2024-02-01 , Latest end: 2024-12-31
Organization Center for Project-Based Learning D-ITET
Hosts Mayer Philipp
Topics Information, Computing and Communication Sciences
FPGA-based High Power Pulsed Current Source Controller
Today, new technologies such as power electronic switches or circuit breakers for DC grids are requested with ever increasing capabilities, but suitable test devices to support their development do not exist. In the last years, ETH Zurich undertook the development of a flexible pulsed current source to supply arbitrarily shaped high-current pulses with system voltage of 10kV and nominal currents up to 24 kA nominal. It is achieved by a parallel arrangement of eight individually controlled buck converters (IGBT) and switchable energy-absorbing devices (MOV). This source can ramp up to the nominal current and down to zero within less than half a millisecond while maintaining an output current over several tens of milliseconds. The control of this source is very demanding and the topic of the present thesis project.
Keywords
HDL, hardware-software co-design, control engineering, high voltage/high power
Labels
Semester Project , Master Thesis , FPGA (PBL) , Energy Science & Power (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-01-15 , Earliest start: 2023-08-23 , Latest end: 2025-12-31
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Vogt Christian
Topics Engineering and Technology
FPGA-based High Power Pulsed Current Source Frontend
Today, new technologies such as power electronic switches or circuit breakers for DC grids are requested with ever increasing capabilities, but suitable test devices to support their development do not exist. In the last years, ETH Zurich undertook the development of a flexible pulsed current source to supply arbitrarily shaped high-current pulses with system voltage of 10kV and nominal currents up to 24 kA nominal. It is achieved by a parallel arrangement of eight individually controlled buck converters (IGBT) and switchable energy-absorbing devices (MOV). This source can ramp up to the nominal current and down to zero within less than half a millisecond while maintaining an output current over several tens of milliseconds. The frontend for control of this source is the topic of the present thesis project.
Keywords
HDL, power electronics design, automated testing
Labels
Semester Project , Bachelor Thesis , FPGA (PBL) , Firmware (PBL) , Energy Science & Power (PBL)
Description
Goal
Contact Details
More information
Published since: 2024-01-15 , Earliest start: 2023-08-23 , Latest end: 2025-12-31
Applications limited to ETH Zurich , Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Vogt Christian
Topics Engineering and Technology
Exploring Novel Sensors for Wind Turbine Blade Monitoring
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.
Keywords
Wind turbines, sensors, IoT, PCB, Hardware
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-12 , Earliest start: 2024-01-12 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Engineering and Technology
Enhancing Wind Turbine Operation Using Machine Learning
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.
Keywords
Wind turbine, monitoring, machine learning, python
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-12 , Earliest start: 2024-01-12 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
PCB Design for Novel Wind Turbine Monitoring System
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.
Keywords
PCB, wind turbines, hardware design, altium
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-12 , Earliest start: 2024-01-12 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Engineering and Technology
Autonomous nano-Drones
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.
Keywords
UAV, nano-drone, autonomous, robotics, machine learning, programming
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-11 , Earliest start: 2024-01-11 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology , Education
Miniaturized and lightweight Radars for Autonomous nano-Drones
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.
Keywords
UAV, robotics, nano drones, radars, sensors
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-11 , Earliest start: 2024-01-11 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
Ultra Low Power Eye Tracking with QVar Sensors for Smart Glasses
Smart wearables is a growing market, and eye-tracking is a must for user interaction with devices such as Smart Glasses and AR/VR Headsets. Current solutions like image recognition require high power consumption and elevate computational demand. Thus, extending battery life and reducing the footprint of such systems is a must and can be achieved by using low-power QVar sensors, a novel and unique electrostatic sensors, and optimized tiny Machine Learning able to run on resource-constrained MCUs.
Keywords
smart glasses, sensors, eye tracking, wearable, IoT
Labels
Semester Project , Bachelor Thesis , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-11 , Earliest start: 2024-01-11 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
Distributed and intelligent IoT sensor nodes for leak detection
This proposal focuses on developing a robust leakage detection system for large-scale tubular infrastructures, specifically targeting applications like Hyperloop transportation and pressurised gas conduits.
Keywords
IoT, Machine Learning, structural health monitoring, eurotube, hyperloop
Labels
Semester Project , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-01-11 , Earliest start: 2024-01-11 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
Low-Power Radars for Vitals Sign Monitoring
The monitoring of vital signs is an essential part of clinical and preventive care since it allows prompt action in case of emergency, and even to anticipate the onset of dangerous conditions. New low-power radar sensors are being researched for touchless, unintrusive, and privacy-respecting continuous monitoring applications, with the potential to revolutionize preventive healthcare in hospitals and at home.
Keywords
embedded systems, biomedical, radars, machine learning, signal processing
Labels
Semester Project , Master Thesis , Microcontroller (PBL) , Firmware (PBL) , Machine Learning (PBL) , Biomedical (PBL) , Radars (PBL)
Description
Contact Details
More information
Published since: 2024-01-03 , Earliest start: 2023-07-31 , Latest end: 2025-07-31
Applications limited to Department of Information Technology and Electrical Engineering , Department of Mechanical and Process Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Marty Steven , Dheman Kanika , Ronco Andrea
Topics Engineering and Technology
Design of a miniaturized analog front end for continuous monitoring of heart activity in a wearable device
This project focuses on the design of an analog front end with Photoplethysmography (PPG) and accelerometer (ACC) sensors to be embedded in a wrist device prototype platform that processes the signals in a purely analog fashion for activity detection.
Keywords
Analog-to-event, analog design, PCB design
Labels
Semester Project , Master Thesis , ETH Zurich (ETHZ)
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2023-12-01 , Earliest start: 2023-12-01 , Latest end: 2024-12-01
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Bian Sizhen
Topics Engineering and Technology
Full body motion sensing with a novel wrist-worn electric field sensor
Current wearable motion sensor is largely dominated by the inertial measurement unit (IMU), benefiting from its low power and low cost characters. One obvious shortcoming of inertial sensor is that it only sense the motion pattern of the object where it is attached to. While the wrist, where the inertial sensor is attached, is in a static state, the motion of legs will be not sensed by the wrist-worn inertial sensor anymore. Such activities can be frequently see among gym activities. In this project, we try to explore a novel sensing modality, the electric field sensing, to address this issue and try to provide a full-body motion sensing ability with a wrist-worn device.
Keywords
Qvar, human activity recognition, wearable sensing, low power sensor
Labels
Semester Project , Bachelor Thesis , Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Published since: 2023-12-01 , Earliest start: 2024-01-07 , Latest end: 2024-12-31
Applications limited to ETH Zurich , Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Bian Sizhen
Topics Engineering and Technology