Search for public opportunitiesRegister now and browse all open positions. It's free!Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Notify me when new projects of my interest are advertized!You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. Results |
---|
While camera-based capture systems remain the gold standard for recording human motion, learning-based tracking systems based on sparse wearable sensors are gaining popularity. Most commonly, they use inertial sensors, whose propensity for drift and jitter have so far limited tracking accuracy. Ultra-wideband (UWB) is a radio technology that offers precise ranging capabilities and is integrated into modern smart devices such as iPhones and Apple AirTags. Our recent work, Ultra Inertial Poser, accepted by SIGGRAPH'24, has shown great potential to combine IMU with UWB sensors to constrain drift and jitter in inertial tracking via inter-sensor distances. As we are in the early stages of development, there is still significant room for improvement in the methodology. In this project, we aim to design a deep learning model to improve our dataset's human motion tracking results.
Note: This project will focus on developing a novel supervised learning-based method. We have a clean and synchronized dataset ready (UIP-DB) for training and testing alongside ground-truth tracking data for all joints. - Computer Graphics, Computer Software, Computer Vision, Computer-Human Interaction, Engineering and Technology, Knowledge Representation and Machine Learning, Simulation and Modelling
- Master Thesis, Semester Project
| Time-series data is increasingly prevalent across various domains, including finance, healthcare, and environmental monitoring. The ability to extract meaningful information from time-series data is crucial for prediction, classification, and anomaly detection. This project focuses on exploring different time-series representations and their impact on machine learning tasks. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| Epilepsy is a disorder characterized by recurrent seizures and for some patients surgery becomes a viable option for treatment. Intraoperative electrocorticography (ECoG) is used during epilepsy surgery to identify epileptiform patterns in real-time. We recently proposed a Brain-Computer Interface (BCI) that can detect epileptiform patterns during surgery: https://dx.doi.org/10.1038/s41467-024-47495-y. This project proposes the optimization of such a system, leveraging the BCI2000 software platform and the DYNAP-SE neuromorphic chip. - Biomedical Engineering, Information, Computing and Communication Sciences
- Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Roundwood is sorted by quality and species in the forestry (and in sawmills). Based on the dataset with images of roundwood (from partner sawmill³) containing quality and species labels, a classification model has been developed for predicting the species and the quality of a stem based on the image of its cross-section. The detailed description of the model architecture and the results can be found in the paper: https://www.sciencedirect.com/science/article/pii/S0957417423036217. The task of the project is to
develop an iOS or Android App that based on the model results.
- Information, Computing and Communication Sciences
- Bachelor Thesis, Lab Practice, Master Thesis, Semester Project
| This project contains the use of analytical models to calculate the frequency-dependent inductance of inductors over a wide frequency range. Also part are the investigation and application of suitable methods in order to perform time-domain circuit simulations of the converter system with a varying, frequency-dependent inductance. The goal is to develop simplified models that predict the frequency-dependent behavior of the converter system the inductor is employed in. - Electrical Engineering
- Master Thesis, Semester Project
| Global Health Engineering is a group composed of environmental and mechanical engineers, economists and social scientists. Our work is transdisciplinary and all research focuses on engineering aspects of environmental and human health in resource-constrained countries. We look for a student research assistant to continue developing (hardware+software) the low-cost sensors for biogas composition and flow measurements, as well as program other tasks, e.g., web scraping for scientific grant management. - Electrical Engineering, Environmental Technologies, Mechanical Engineering
- ETH for Development (ETH4D) (ETHZ), Student Assistant / HiWi
| We currently want to (i) elaborate the added value of a campus board that records the forces per limb, (ii) determine grasping phases for kinematic analyses of the phalanges more pragmatically than with 6DoF sensors, and (iii) drive forward a competition analysis based purely on video material. - Biomedical Engineering, Human Movement and Sports Science
- Internship, Semester Project
| Do you love exploring data and creating interactive visualizations? Are you passionate about uncovering the hidden meaning behind data? We are looking for individuals like you at Balgrist Campus, a research institute fully dedicated to the musculoskeletal patient. - Biomedical Engineering, Computer Graphics
- Internship, Master Thesis, Semester Project
| Estimating human poses within global trajectories is critical for applications such as augmented reality and sports analytics, yet it often demands precisely calibrated cameras and significant computational efforts. With advancements in deep learning and pose estimation technologies, various models can be trained using 2D or 3D motion data. However, effectively integrating these models to predict and analyze human movement trajectories in a continuous and dynamic environment remains challenging. This project aims to create a robust system that estimates and predicts human poses accurately, facilitating advancements in dynamic pose analysis and real-world applications. - Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), Lab Practice, Master Thesis, Semester Project
|
|