ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC)| Acronym | RESC | | Homepage | https://resc.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Parent organization | ETH Zurich | | Current organization | ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC) | | Child organizations | | | Members | |
Open OpportunitiesThis thesis develops an automated onboard waste quantification system for a maritime waste collection vessel, leveraging computer vision with continual learning and domain adaptation to replace manual counting of floating waste. Evaluated under real-world maritime conditions, the system aims to improve waste management in the South East Asian Sea. - Engineering and Technology
- Master Thesis
| In this project, we focus on continuous and quantitative monitoring of activities of daily living (ADL) in SCI individuals with the goal of identifying cardiovascular events and PI-related risk behaviors.
ADLs specific to SCI patients and their lifestyles shall be discussed and narrowed down in the scope of this work, therefore an autonomous camera-based system is proposed to classify ADLs.
The Current work builds on a previous project where a SlowFast network [1] was trained to identify SCI-specific classes and we aim to further improve the classification and temporal resolution for transferring to wearables' time-series data. - Computer Vision, Health Information Systems (incl. Surveillance), Intelligent Robotics, Knowledge Representation and Machine Learning, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Bachelor Thesis, Course Project, ETH for Development (ETH4D) (ETHZ), ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Osteoarthritis (OA) presents a significant challenge in healthcare, necessitating innovative solutions to alleviate pain, enhance mobility. This thesis documents the research and development journey of an OA knee orthosis within the Spinal Cord and Artificial Intelligence Lab (SCAI-Lab) at ETH Zurich.
This thesis is a close collaboration between the ORTHO-TEAM Group and the SCAI-Lab at ETH Zurich. The collaboration offers a unique exchange of expertise and resources between industry and academia. Together, we aim to make meaningful progress in the field of and empower students to make valuable contributions to their academic pursuits.
- Biomechanics, Biomedical Engineering
- ETH Zurich (ETHZ), Master Thesis
| Our goal is to establish a heterocellular 3D printed bone organoid model comprising all major bone cell types (osteoblasts, osteocytes, osteoclasts) to recapitulate bone remodeling units in an in vitro system. The organoids will be produced with the human cells, as they could represent human pathophysiology better than animal models, and eventually could replace them. These in vitro models could be used in the advancement of next-generation personalised treatment strategies. Our tools are different kinds of 3D bioprinting platforms, bio-ink formulations, hydrogels, mol-bioassays, and time-lapsed image processing of micro-CT scans. - Biomaterials, Biomechanical Engineering, Cell Development (incl. Cell Division and Apoptosis), Cellular Interactions (incl. Adhesion, Matrix, Cell Wall), Polymers
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| In over 100 years, the remarkable ability of bone to adapt to its mechanical environment has been a source of scientific fascination. Bone regeneration has been shown to be highly dependent on the mechanical environment at the fracture site. It has been demonstrated that mechanical stimuli can either accelerate or impede regeneration. Despite the fundamental importance of the mechanical environment in influencing bone regeneration, the molecular mechanisms underlying this phenomenon are complex and poorly understood. - Biomedical Engineering, Medical Physiology
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Previous studies have demonstrated that following the loss of an upper limb, the deprived hand territory of the somatosensory cortex becomes responsive to afferent input of intact body parts (e.g., the face). It is hypothesised that this remapping of body parts is partially driven by adaptive behaviours, whereby the body part most often used to compensate for the missing limb is remapped into the cortical hand area. We are seeking motivated and independent students interested in one or both of the following tasks:
1. Pose Estimation: Use video analysis to quantify body part usage, with the goal of correlating compensatory movements with changes in brain organization.
2. Patient Recruitment & Data Analysis: Assist with patient recruitment, MRI scanning, and data analysis.
- Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- ETH Zurich (ETHZ), Internship, Lab Practice, Semester Project
| Event cameras are an exciting new technology enabling sensing of highly dynamic content over a broad range of illumination conditions. The present thesis explores novel, sparse, event-driven paradigms for detecting structure and motion patterns in raw event streams. - Engineering and Technology
- Master Thesis
| Experiment with Gaussian Splatting based map representations for highly efficient camera tracking and simultaneous change detection and map updating. Apply to different exteroceptive sensing modalities. - Engineering and Technology
- Master Thesis
| This project consists of reconstructing soft object along with their appearance, geometry, and physical properties from image data for inclusion in reinforcement learning frameworks for manipulation tasks. - Engineering and Technology
- Master Thesis
| Push the limits of arbitrary online video reconstruction by combining the most recent, prior-supported real-time Simultaneous Localization And Mapping (SLAM) methods with automatic supervision techniques. - Engineering and Technology
- Master Thesis
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